<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article">
 <front>
  <journal-meta>
   <journal-id journal-id-type="publisher-id">
    me
   </journal-id>
   <journal-title-group>
    <journal-title>
     Modern Economy
    </journal-title>
   </journal-title-group>
   <issn pub-type="epub">
    2152-7245
   </issn>
   <issn publication-format="print">
    2152-7261
   </issn>
   <publisher>
    <publisher-name>
     Scientific Research Publishing
    </publisher-name>
   </publisher>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="doi">
    10.4236/me.2025.164025
   </article-id>
   <article-id pub-id-type="publisher-id">
    me-141817
   </article-id>
   <article-categories>
    <subj-group subj-group-type="heading">
     <subject>
      Articles
     </subject>
    </subj-group>
    <subj-group subj-group-type="Discipline-v2">
     <subject>
      Business 
     </subject>
     <subject>
       Economics
     </subject>
    </subj-group>
   </article-categories>
   <title-group>
    The Resilience of Botswana’s Banking Sector during the Political Transition Following the End of Long-Standing Governance
   </title-group>
   <contrib-group>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Tshepang
      </surname>
      <given-names>
       Molosiwa
      </given-names>
     </name>
    </contrib>
    <contrib contrib-type="author" xlink:type="simple">
     <name name-style="western">
      <surname>
       Kelebogile
      </surname>
      <given-names>
       Kenalemang
      </given-names>
     </name>
    </contrib>
   </contrib-group> 
   <aff id="affnull">
    <addr-line>
     aSchool of Business and Leisure (SBL), Botswana Accountancy College, Gaborone, Botswana
    </addr-line> 
   </aff> 
   <pub-date pub-type="epub">
    <day>
     08
    </day> 
    <month>
     04
    </month>
    <year>
     2025
    </year>
   </pub-date> 
   <volume>
    16
   </volume> 
   <issue>
    04
   </issue>
   <fpage>
    523
   </fpage>
   <lpage>
    549
   </lpage>
   <history>
    <date date-type="received">
     <day>
      29,
     </day>
     <month>
      December
     </month>
     <year>
      2024
     </year>
    </date>
    <date date-type="published">
     <day>
      5,
     </day>
     <month>
      December
     </month>
     <year>
      2024
     </year> 
    </date> 
    <date date-type="accepted">
     <day>
      5,
     </day>
     <month>
      April
     </month>
     <year>
      2025
     </year> 
    </date>
   </history>
   <permissions>
    <copyright-statement>
     © Copyright 2014 by authors and Scientific Research Publishing Inc. 
    </copyright-statement>
    <copyright-year>
     2014
    </copyright-year>
    <license>
     <license-p>
      This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/
     </license-p>
    </license>
   </permissions>
   <abstract>
    This study examines the resilience of Botswana’s banking sector post the political transition of November 2024, emphasising the importance of regulatory consistency, the assurance of investor confidence, and the overall performance of the financial sector. The study investigates the impact of the transition on capital adequacy, loan performance, and foreign direct investment (FDI) inflows, while evaluating the effectiveness of monetary and fiscal policy adjustments in alleviating economic uncertainties. Considering the dynamic nature of the financial environment and the necessity for a more extensive temporal framework, the analysis is broadened to encompass a decade-long pre-transition phase (2014-2024) and an extended post-transition evaluation extending to February 2025. In light of the scarcity of immediate empirical data following the transition, this study utilises a qualitative desktop methodology to examine financial resilience by analysing policy documents, academic literature, and industry reports. This investigation employs a qualitative research methodology, incorporating content analysis of financial policy documents, thematic analysis of academic and industry literature, and evaluations of regulatory frameworks from 2014 to 2024. This study explores the changes in monetary policy, fiscal approaches, and banking regulatory reforms to understand the ways in which Botswana’s financial institutions respond to uncertainties following the transition period. An examination of the periods preceding and post the transition is undertaken, using secondary data obtained from financial institutions such as the IMF, World Bank, Bank of Botswana, and African Development Bank. Furthermore, thematic coding of financial stability reports, industry commentaries, and expert forecasts is utilised to predict trends in the resilience of the banking sector, the risk management practices, and the investor sentiment. The evidence suggests that Botswana’s banking sector still has strong financial stability, even in the transitionary market fluctuations and investor anxiety. The capital adequacy ratios (CAR) consistently exceed the Basel III requirements, indicative of robust capitalisation and substantial risk buffers. Nonetheless, there has been a slight increase in non-performing loans (NPLs), indicating an escalation in borrower risks. The loan-to-deposit ratios indicate a more prudent approach to credit, as financial institutions recalibrate their lending strategies considering regulatory ambiguities and changes in economic policy. Investor sentiment exhibits a degree of mixed feelings, as variations in FDI inflows indicate anxiety about where fiscal policy is going together with the possibility of impending tax reforms. In light of these challenges, Botswana’s strong regulatory framework and forward-thinking monetary policy measures have effectively contributed to the maintenance of stability within the financial sector. This research is a qualitative evaluation of the resilience within the financial sector at the time of a significant governance transition, addressing an essential gap in the existing literature concerning the interplay of political transformation, banking regulation, and economic stability in emerging markets. This research distinguishes itself from prior studies that primarily emphasise quantitative financial data by providing a policy-oriented perspective. It analyses the regulatory shifts, trends in investor confidence, and strategies for mitigating financial risk. The findings give valuable perspectives for policymakers, banking executives, and investors to address financial stability risks in politically transitioning economies, while establishing a foundation for future comparative analyses on governance changes and banking sector resilience in Africa.
   </abstract>
   <kwd-group> 
    <kwd>
     Political Transition
    </kwd> 
    <kwd>
      Banking Sector Resilience
    </kwd> 
    <kwd>
      Botswana
    </kwd> 
    <kwd>
      Financial Regulation
    </kwd> 
    <kwd>
      Investor Confidence
    </kwd> 
    <kwd>
      Risk Management
    </kwd> 
    <kwd>
      Macroeconomic Stability
    </kwd> 
    <kwd>
      Foreign Direct Investment (FDI)
    </kwd> 
    <kwd>
      Capital Adequacy Ratios (CAR)
    </kwd> 
    <kwd>
      Non-Performing Loans (NPLs)
    </kwd> 
    <kwd>
      Loan-to-Deposit Ratios (LDR)
    </kwd> 
    <kwd>
      Monetary Policy Adjustments
    </kwd>
   </kwd-group>
  </article-meta>
 </front>
 <body>
  <sec id="s1">
   <title>1. Introduction</title>
   <p>Botswana’s banking sector has historically benefited from a stable political and economic environment, enabling sustainable economic growth and financial sector expansion. However, political transitions can introduce economic uncertainty, influencing financial stability, investment flows, and regulatory frameworks (<xref ref-type="bibr" rid="scirp.141817-#HYPERLINK  l R41">
     Ngouhouo &amp; Nchofoung, 2021
    </xref>). The recent shift in governance has raised concerns over potential disruptions to the banking sector, prompting the need for a systematic evaluation of its resilience. Banking sector stability is critical for economic growth, particularly in emerging markets where financial institutions play a central role in resource allocation and credit extension (<xref ref-type="bibr" rid="scirp.141817-49">
     Welman, 2021
    </xref>). Political transitions in developing countries have historically led to fluctuations in investor confidence, foreign direct investment (FDI) inflows, and regulatory shifts (<xref ref-type="bibr" rid="scirp.141817-29">
     Koepke, 2023
    </xref>). The banking sector must navigate these uncertainties while maintaining operational efficiency and financial stability.</p>
   <p>This study examines the resilience of Botswana’s banking sector in the wake of its recent political transition. It explores the implications of governance changes on investor sentiment, regulatory adjustments, and banking operations. By analyzing financial performance indicators and policy responses, the study provides insights into the adaptability of Botswana’s banking industry. Political transitions often create economic instability, impacting financial markets and banking operations. Botswana’s transition from a long-standing government to a new administration has led to policy shifts that could affect regulatory frameworks, investor confidence, and financial sector performance (<xref ref-type="bibr" rid="scirp.141817-#HYPERLINK  l R35">
     Mathame, 2018
    </xref>). While studies have explored financial resilience in the context of global economic crises, limited research has focused on the impact of political transitions on Botswana’s banking industry.</p>
   <p>Key concerns include:</p>
   <p>Given these concerns, this study assesses how Botswana’s banking sector has adapted to political change and evaluates strategies for enhancing financial resilience.</p>
  </sec><sec id="s2">
   <title>2. Literature Review</title>
   <sec id="s2_1">
    <title>2.1. Political Transitions and Economic Stability</title>
    <p>
     <xref ref-type="bibr" rid="scirp.141817-"></xref>Political transitions have been widely recognized as a major factor influencing economic stability, particularly in emerging markets. Governance shifts often introduce uncertainties that can lead to financial volatility, investment fluctuations, and changes in economic policies (<xref ref-type="bibr" rid="scirp.141817-#HYPERLINK  l R41">
      Ngouhouo &amp; Nchofoung, 2021
     </xref>). Emerging economies are especially vulnerable to these effects due to their reliance on foreign investment, market confidence, and institutional stability (<xref ref-type="bibr" rid="scirp.141817-5">
      Ameer et al., 2018
     </xref>).</p>
    <p>
     <xref ref-type="bibr" rid="scirp.141817-"></xref>Political transitions can have a direct impact on financial markets, as investors react to changes in government leadership and economic policy directions. Studies have shown that periods of political transition are often accompanied by increased market volatility, currency fluctuations, and capital flight, as investors adopt a wait-and-see approach (<xref ref-type="bibr" rid="scirp.141817-46">
      Schlüter &amp; Olsson, 2020
     </xref>). In some cases, uncertainty over future regulatory frameworks can lead to a decline in foreign direct investment (FDI) and a slowdown in economic growth (<xref ref-type="bibr" rid="scirp.141817-44">
      Peres et al., 2018
     </xref>). For example, <xref ref-type="bibr" rid="scirp.141817-44">
      Peres et al. (2018)
     </xref> found that institutional quality plays a crucial role in mitigating the adverse effects of political transitions. Countries with strong institutions and clear economic policies are more likely to maintain financial stability during transitions. Conversely, economies with weak institutional frameworks experience prolonged economic disruptions and slower recovery rates.</p>
    <p>
     <xref ref-type="bibr" rid="scirp.141817-"></xref>One of the most significant economic impacts of political transitions in emerging markets is the introduction of new regulatory policies and tax reforms. Governments undergoing transitions often implement economic reforms aimed at addressing fiscal imbalances or stimulating growth, but these changes can create short-term uncertainty (<xref ref-type="bibr" rid="scirp.141817-18">
      Haggard &amp; Webb, 2018
     </xref>). A study by <xref ref-type="bibr" rid="scirp.141817-4">
      Alsagr &amp; Van Hemmen (2021)
     </xref> highlights how policy shifts during political transitions affect banking regulations, corporate taxation, and public sector financial management. In Botswana, the introduction of new economic policies could alter capital requirements, tax structures, and regulatory oversight, which may have implications for financial sector stability.</p>
    <p>Investor confidence is a crucial factor in maintaining economic stability during political transitions. Uncertainty regarding the direction of new policies, regulatory frameworks, and fiscal strategies can result in decreased investor confidence and capital outflows (<xref ref-type="bibr" rid="scirp.141817-3">
      Alam et al., 2019
     </xref>). A study by <xref ref-type="bibr" rid="scirp.141817-20">
      Hansen et al. (2018)
     </xref> emphasizes that economies with unpredictable political landscapes tend to experience reduced foreign investments and increased capital outflows, as investors seek more stable environments.</p>
    <p>The case of several African nations illustrates this phenomenon. <xref ref-type="bibr" rid="scirp.141817-46">
      Schlüter &amp; Olsson (2020)
     </xref> found that investor sentiment plays a significant role in economic stability during political transitions. Countries that proactively engage with investors, provide policy clarity, and demonstrate strong governance structures tend to experience less financial instability.</p>
    <p>Political transitions can also lead to broader macroeconomic effects, such as inflationary pressures, exchange rate fluctuations, and reduced government spending. A study by <xref ref-type="bibr" rid="scirp.141817-12">
      Cantarero (2020)
     </xref> found that in emerging markets, political changes often result in shifts in monetary policy, affecting inflation and interest rates. For Botswana, a political transition could influence the central bank’s approach to monetary policy, leading to changes in interest rates, liquidity management, and financial sector oversight. According to <xref ref-type="bibr" rid="scirp.141817-22">
      Hosan et al. (2022)
     </xref>, governments in emerging economies often revise monetary policies post-transition to stabilize the financial sector and encourage investment.</p>
    <p>While political transitions create uncertainty, countries with strong institutions and well-established economic frameworks are more likely to navigate these changes with minimal financial disruption. According to <xref ref-type="bibr" rid="scirp.141817-41">
      North (1990)
     </xref>, institutional resilience plays a vital role in ensuring continuity in governance and economic management, preventing abrupt financial market fluctuations. Studies by <xref ref-type="bibr" rid="scirp.141817-32">
      Martorano &amp; Sanfilippo (2019)
     </xref> indicate that economies with well-developed regulatory institutions can better withstand the negative economic effects of political transitions. In Botswana, the strength of its banking sector and regulatory oversight will be key determinants in maintaining economic stability during the transition.</p>
    <p>Political transitions in emerging markets can have far-reaching economic consequences, affecting financial markets, investor confidence, regulatory frameworks, and macroeconomic stability. While short-term volatility is often unavoidable, strong institutions, clear economic policies, and proactive regulatory measures can mitigate the adverse effects of political shifts. In Botswana, ensuring policy continuity and maintaining investor engagement will be critical in sustaining economic and financial stability during the transition.</p>
   </sec>
   <sec id="s2_2">
    <title>
     <xref ref-type="bibr" rid="scirp.141817-"></xref>2.2. Financial Sector Resilience in Emerging Markets</title>
    <p>Financial resilience in emerging markets has become a critical area of study, especially in the context of economic shocks, political instability, and regulatory changes. The ability of financial institutions to withstand and recover from disruptions is largely dependent on regulatory frameworks, capital adequacy, risk management strategies, and digital financial services (<xref ref-type="bibr" rid="scirp.141817-#HYPERLINK  l R14">
      Demirgüç-Kunt et al., 2020
     </xref>). The resilience of the financial sector is particularly crucial in economies like Botswana, where banking institutions play a significant role in maintaining macroeconomic stability.</p>
    <p>Robust regulatory frameworks are essential for ensuring the stability and resilience of financial systems in emerging markets. Governments and financial authorities implement policies such as capital requirements, liquidity coverage ratios, and stress testing to safeguard banking institutions from systemic risks (<xref ref-type="bibr" rid="scirp.141817-#HYPERLINK  l R14">
      Demirgüç-Kunt et al., 2020
     </xref>). For example, Botswana’s financial sector benefits from the regulatory oversight of the Bank of Botswana, which enforces prudential guidelines to ensure the sustainability of banking institutions (<xref ref-type="bibr" rid="scirp.141817-#HYPERLINK  l R11">
      Botlhale, 2016
     </xref>).</p>
    <p>A study by <xref ref-type="bibr" rid="scirp.141817-47">
      Uttamchandani et al. (2020)
     </xref> highlighted that regulatory strength is a key determinant of banking sector resilience. Their research showed that emerging markets with strong institutional frameworks were better equipped to handle financial crises, as regulatory measures helped cushion banks against capital flight, liquidity shortages, and asset quality deterioration.</p>
    <p>One of the primary indicators of financial sector resilience is capital adequacy, which measures a bank’s ability to absorb losses while maintaining operations. The Basel III framework, which sets international regulatory standards, has been widely adopted to improve capital buffers and ensure financial stability (<xref ref-type="bibr" rid="scirp.141817-21">
      Hinson et al., 2019
     </xref>). Botswana’s banks are well-capitalized, with capital adequacy ratios exceeding the regulatory minimums, which has contributed to their ability to withstand external shocks (<xref ref-type="bibr" rid="scirp.141817-#HYPERLINK  l R11">
      Botlhale, 2016
     </xref>). In a comparative study of African economies, <xref ref-type="bibr" rid="scirp.141817-30">
      Korzeb &amp; Niedziółka (2020)
     </xref> found that banks in countries with high capital buffers were more resilient to external shocks, such as currency fluctuations and changes in monetary policy. The study emphasized the importance of maintaining strong capital reserves to mitigate risks associated with political and economic transitions.</p>
    <p>Risk management practices are fundamental to financial resilience, as they enable banks to identify, assess, and mitigate potential threats to their stability. Effective risk management includes diversified lending portfolios, robust stress testing, and contingency planning for economic downturns. In Botswana, banks have implemented rigorous risk assessment frameworks to navigate financial uncertainties, particularly in times of political change. According to <xref ref-type="bibr" rid="scirp.141817-43">
      Park &amp; Kim (2020)
     </xref>, emerging markets that incorporate sophisticated risk management frameworks demonstrate higher levels of financial stability and investor confidence. Their research underscored the need for proactive risk assessment, particularly in economies with high exposure to external shocks, such as commodity price fluctuations and political transitions.</p>
    <p>The integration of digital financial services has significantly improved the resilience of banking sectors in emerging markets. The adoption of fintech solutions, mobile banking, and digital payment systems has enhanced financial inclusion and provided alternative avenues for economic stability (<xref ref-type="bibr" rid="scirp.141817-#HYPERLINK  l R46">
      Quayson et al., 2020
     </xref>). Botswana has made significant strides in digital banking, with financial institutions leveraging technology to expand their customer base and reduce operational risks.</p>
    <p>A study by <xref ref-type="bibr" rid="scirp.141817-2">
      Agur et al. (2020)
     </xref> on digital financial services and economic resilience found that countries with a high level of fintech services experienced greater financial stability during crises. Their research highlighted that digital banking reduces dependency on physical banking infrastructure, increases transaction efficiency, and mitigates liquidity risks.</p>
    <p>Beyond individual banking institutions, macroeconomic stability plays a crucial role in the resilience of the financial sector. Factors such as exchange rate stability, inflation control, and government fiscal policies directly impact the performance of banks in emerging markets (<xref ref-type="bibr" rid="scirp.141817-50">
      Wójcik &amp; Ioannou, 2020
     </xref>). In Botswana, the combination of a stable macroeconomic environment and sound financial policies has contributed to the resilience of the banking sector. <xref ref-type="bibr" rid="scirp.141817-39">
      Murcia Pabón et al. (2018)
     </xref> emphasized that macroeconomic stability is a key determinant of banking sector resilience. Their study found that countries with well-managed inflation rates and stable exchange rate policies experienced fewer banking crises and maintained stronger financial institutions.</p>
    <p>The resilience of the financial sector in emerging markets is contingent on several interrelated factors, including regulatory frameworks, capital adequacy, risk management strategies, and digital financial services. Botswana’s financial sector, underpinned by strong regulatory oversight and a well-capitalized banking system, demonstrates resilience in the face of political and economic transitions. However, continuous adaptation to evolving economic conditions, particularly through enhanced risk management and technological innovation, will be essential in maintaining financial stability.</p>
   </sec>
   <sec id="s2_3">
    <title>2.3. The Impact of Investor Confidence on Banking Stability</title>
    <p>Investor confidence plays a crucial role in determining the stability of the banking sector. A strong and stable financial environment attracts investment, fosters economic growth, and strengthens financial institutions, while political uncertainty, governance transitions, and macroeconomic instability can lead to capital outflows, reduced lending activity, and increased financial sector risk exposure (<xref ref-type="bibr" rid="scirp.141817-38">
      Moyo, 2019
     </xref>). Understanding investor responses to governance transitions is essential for maintaining financial stability, especially in emerging markets where institutional frameworks may be weaker than in developed economies.</p>
    <p>Political uncertainty, particularly during transitions in governance, can significantly affect investor sentiment. Investors, both domestic and foreign, often respond to changes in political leadership by adjusting their portfolio allocations, which may lead to capital outflows in cases where new policies introduce uncertainty (<xref ref-type="bibr" rid="scirp.141817-53">
      Wu et al., 2020
     </xref>). Studies indicate that governance changes can cause temporary market instability as financial institutions and investors assess the potential economic direction of the new administration (<xref ref-type="bibr" rid="scirp.141817-31">
      López-Cabarcos &amp; Pérez-Pico, 2021
     </xref>).</p>
    <p>For instance, a study by <xref ref-type="bibr" rid="scirp.141817-29">
      Koepke (2023)
     </xref> found that political uncertainty in emerging markets often leads to higher capital outflows and increased market volatility. Investors become risk-averse in uncertain environments, reducing their holdings in local assets and shifting towards safer investments, such as foreign bonds and gold. This phenomenon can result in liquidity shortages for banks, limiting their ability to provide credit and impacting overall economic growth.</p>
    <p>Investor confidence directly influences capital flows and Foreign Direct Investment (FDI), both of which are essential for banking sector stability. During periods of political uncertainty, banks may experience reduced foreign capital inflows, affecting their capacity to extend credit and maintain liquidity (<xref ref-type="bibr" rid="scirp.141817-#HYPERLINK  l R04">
      Alsagr &amp; Van Hemmen, 2021
     </xref>). The withdrawal of foreign investors can lead to currency depreciation, making it more expensive for banks to manage international liabilities and increasing inflationary pressures. A study by <xref ref-type="bibr" rid="scirp.141817-28">
      Kalyvas &amp; Nguyen (2018)
     </xref> found that political risk is a key determinant of bank stability in emerging markets. Their research highlighted that countries with strong institutional frameworks and transparent policy communication tend to experience less severe capital outflows during political transitions. In contrast, markets with weak governance structures suffer from prolonged investor uncertainty, exacerbating financial instability.</p>
    <p>The banking sector is closely tied to stock market performance, where investor sentiment drives market trends. A loss of investor confidence can lead to declines in banking stock prices, negatively impacting the overall stability of financial institutions. <xref ref-type="bibr" rid="scirp.141817-3">
      Alam et al. (2019)
     </xref> demonstrated that negative investor sentiment during governance transitions reduces stock valuations, limits market liquidity, and increases credit spreads, making it more expensive for banks to raise capital. A recent study on investor protection laws in emerging markets found that stronger legal safeguards can mitigate the adverse effects of political transitions on banking stocks (<xref ref-type="bibr" rid="scirp.141817-6">
      Arslan et al., 2020
     </xref>). Their findings suggest that countries with robust financial regulations and legal protections for investors tend to experience less financial instability during political transitions.</p>
    <p>Investor sentiment also influences banking sector lending activity. During periods of political uncertainty, banks may adopt more conservative lending strategies, reducing their exposure to risky assets and prioritizing capital preservation over credit expansion (<xref ref-type="bibr" rid="scirp.141817-#HYPERLINK  l R17">
      Ftiti &amp; Hadhri, 2019
     </xref>). This can lead to a slowdown in economic growth as businesses and consumers face tighter credit conditions. A study by <xref ref-type="bibr" rid="scirp.141817-23">
      Indārs et al. (2019)
     </xref> found that during governance transitions, banks in emerging markets often raise interest rates and increase lending requirements to mitigate potential risks. While these measures may protect banks in the short term, they can also limit economic expansion by restricting access to finance for businesses and individuals.</p>
    <p>Macroeconomic stability plays a significant role in maintaining investor confidence. Countries with stable inflation rates, low fiscal deficits, and predictable monetary policies tend to attract long-term investments even during political transitions (<xref ref-type="bibr" rid="scirp.141817-17">
      Ha et al., 2019
     </xref>). Conversely, economies with erratic fiscal policies and high debt levels may struggle to maintain investor trust, leading to financial instability. Research by <xref ref-type="bibr" rid="scirp.141817-48">
      Wang et al. (2019)
     </xref> indicated that banking stability in emerging markets is highly correlated with macroeconomic stability. Their study found that countries with prudent fiscal management and independent central banks were better able to maintain investor confidence during political shifts.</p>
    <p>Investor confidence is a critical factor in the banking sector stability, particularly in emerging markets undergoing political transitions. Political uncertainty, capital outflows, stock market fluctuations, and reduced lending activity all pose risks to financial institutions. However, countries with strong institutional frameworks, transparent policies, and stable macroeconomic conditions are better equipped to maintain investor trust and financial stability. As Botswana navigates its political transition, proactive measures to strengthen investor confidence will be crucial for ensuring the resilience of its banking sector.</p>
   </sec>
  </sec><sec id="s3">
   <title>3. Conceptual Framework</title>
   <p>Learning how governance changes affect financial stability calls for a disciplined theoretical basis that links institutional change, changes in economic policies, and banking resilience. Three related theoretical lenses—institutional theory, the financial stability hypothesis, and the macroeconomic stability framework—are used in this paper. These models provide a methodical way to examine how Botswana’s banking industry deals with uncertainty, changes in regulations, and investor sentiments after government change.</p>
   <sec id="s3_1">
    <title>3.1. Institutional Theory and Banking Resilience</title>
    <p>According to institutional theory (<xref ref-type="bibr" rid="scirp.141817-41">
      North, 1990
     </xref>), formal regulations, political institutions, and financial governance systems all help to influence economic results. With a strong legal system, consistent banking rules, and well-developed financial institutions (<xref ref-type="bibr" rid="scirp.141817-52">
      World Bank, 2023
     </xref>), Botswana has long been recognized as one of Africa’s most stable political economies. However, the 2024 political change brings policy uncertainty that might disrupt accepted financial rules, thereby influencing investor confidence, risk management techniques, and general banking performance (<xref ref-type="bibr" rid="scirp.141817-25">
      IMF, 2024
     </xref>). Using institutional theory, one may evaluate if post-transition policy changes might reveal weaknesses in banking operations or whether deeply ingrained regulatory stability determines the financial sector resilience of Botswana.</p>
   </sec>
   <sec id="s3_2">
    <title>3.2. The Financial Stability Hypothesis and Risk Management</title>
    <p>
     <xref ref-type="bibr" rid="scirp.141817-35">
      Minsky (1982)
     </xref> Financial Stability Hypothesis explains how financial institutions react to times of uncertainty and economic changes. Minsky claims that market confidence, risk exposure, and regulatory policies affect the fluctuations between stability and instability that define financial markets. Banks in Botswana may react to political changes by reducing loan supply, building capital reserves, and lowering exposure to high-risk assets and thus minimize any financial shocks (<xref ref-type="bibr" rid="scirp.141817-29">
      Koepke, 2023
     </xref>). This paper uses the Financial Stability Hypothesis to examine how the banks of Botswana balance economic development with risk reduction. Should risk aversion take front stage, credit market contraction, decreased lending, and slower economic development—all of which must be constantly monitored in the post-transition period—may follow.</p>
   </sec>
   <sec id="s3_3">
    <title>3.3. Macroeconomic Stability Framework and Banking Sector Performance</title>
    <p>The Macroeconomic Stability Framework (<xref ref-type="bibr" rid="scirp.141817-25">
      IMF, 2024
     </xref>) looks at how governance affects fiscal stability, monetary policy, and economic resilience. Political changes often result in changes in government expenditure, tax policies, and regulatory objectives; all of these affect the liquidity, interest rates, and foreign investment inflows of the financial sector (<xref ref-type="bibr" rid="scirp.141817-52">
      World Bank, 2023
     </xref>). Using this paradigm assesses how macroeconomic changes made by Botswana—such as central bank interventions, inflation control, and currency rate policies—form banking sector performance. This paper evaluates whether Botswana’s financial policies offer enough buffers against economic shocks or whether extra reforms are required by combining economic indicators including Capital Adequacy Ratios (CAR), Non-Performing Loans (NPLs), Loan-to-Deposit Ratios (LDR), and Foreign Direct Investment (FDI).</p>
   </sec>
   <sec id="s3_4">
    <title>3.4. Integrating Theoretical Lenses for a Comprehensive Analysis</title>
    <p>Combining Institutional Theory, the Financial Stability Hypothesis, and the Macroeconomic Stability Framework gives this research a whole view of Botswana’s banking sector resilience throughout the political change. The Financial Stability Hypothesis clarifies how banks modify risk management techniques; institutional theory places regulatory stability and policy risks in perspective; macroeconomic stability framework assesses the larger effects of governance change on the economy. This multi-theory methodology guarantees that the research transcends descriptive analysis and offers a disciplined, theory-driven explanation of banking resilience.</p>
   </sec>
  </sec><sec id="s4">
   <title>
    <xref ref-type="bibr" rid="scirp.141817-"></xref>4. Methodology</title>
   <sec id="s4_1">
    <title>
     <xref ref-type="bibr" rid="scirp.141817-"></xref>4.1. Research Design</title>
    <p>The resilience of Botswana’s banking industry during the political uncertainty of November 2024 is investigated in this paper. The analysis covers the months following the November 2024 elections and includes data up to February 2025 as financial industry reactions to governance changes may take years to materialize. A longer period provides evaluation of early signs of financial stability, changes in investor confidence, and legislative reactions. Including historical financial data (2014-2024) also offers a relative context to help separate longer-term financial trends from short-term market responses (<xref ref-type="bibr" rid="scirp.141817-29">
      Koepke, 2023
     </xref>; <xref ref-type="bibr" rid="scirp.141817-25">
      IMF, 2024
     </xref>). Expert predictions and scenario modelling are used to project possible changes in the banking sector’s performance in cases of lacking current data. This method enhances the investigation by blending predicted knowledge about future changes with actual financial records (<xref ref-type="bibr" rid="scirp.141817-52">
      World Bank, 2023
     </xref>; <xref ref-type="bibr" rid="scirp.141817-1">
      AfDB, 2023
     </xref>).</p>
   </sec>
   <sec id="s4_2">
    <title>4.2. Data Sources</title>
    <p>This analysis includes financial data until February 2025 to see early changes in Botswana’s banking industry after the political change. Although concrete proof of long-term effects is still lacking, expert economic predictions from organizations such as the <xref ref-type="bibr" rid="scirp.141817-52">
      World Bank (2023
     </xref>) and the <xref ref-type="bibr" rid="scirp.141817-25">
      IMF (2024)
     </xref> help to augment the study by providing estimates outside of the now accessible period. With capital adequacy ratios and liquidity levels still very good, the results show first stability in banking sector fundamentals; yet investment flows continue to show vulnerability to policy uncertainty (<xref ref-type="bibr" rid="scirp.141817-14">
      Eurasia Group, 2024
     </xref>). This implies that even if efforts of regulatory consistency and risk management have given temporary resilience, the unpredictable terrain of fiscal and monetary policy may still affect investor attitude and credit market conditions. Therefore, especially as external economic conditions and domestic regulatory responses change over time, continuous data collecting and longitudinal financial monitoring will be crucial in deciding whether Botswana’s early banking sector stability can move into sustained long-term financial resilience (<xref ref-type="bibr" rid="scirp.141817-29">
      Koepke, 2023
     </xref>; <xref ref-type="bibr" rid="scirp.141817-1">
      AfDB, 2023
     </xref>).</p>
   </sec>
   <sec id="s4_3">
    <title>4.3. Data Analysis</title>
    <p>
     <xref ref-type="bibr" rid="scirp.141817-"></xref>The paper assesses Botswana’s banking sector resilience using scenario modelling, qualitative content analysis, and financial data trends in a coordinated manner. Over the past ten years, the pre-transition analysis (2014-2024) looks at key financial indicators including Capital Adequacy Ratios (CAR), Non-Performing Loans (NPLs), Loan-to-Deposit Ratios (LDR), and Foreign Direct Investment (FDI) to create a reference point for post-transition changes (<xref ref-type="bibr" rid="scirp.141817-8">
      Bank of Botswana, 2023
     </xref>; <xref ref-type="bibr" rid="scirp.141817-25">
      IMF, 2024
     </xref>; <xref ref-type="bibr" rid="scirp.141817-15">
      European Investment Bank, 2020
     </xref>). This longitudinal study helps separate structural changes from transient market fluctuations and allows a comparison of banking sector developments before and after the political change. Drawing on Bank of Botswana reports, commercial banking performance statistics, and investor mood trends, the post-transition assessment (November 2024-March 2025) focusses on early financial indicators to detect prompt economic reactions (<xref ref-type="bibr" rid="scirp.141817-52">
      World Bank, 2023
     </xref>; <xref ref-type="bibr" rid="scirp.141817-14">
      Eurasia Group, 2024
     </xref>). The study estimates possible financial sector trajectories over the next 12 to 24 months using scenario forecasting using expert projections from the IMF, World Bank, and African Development Bank (AfDB), given the limited availability of long-term post-transition data (<xref ref-type="bibr" rid="scirp.141817-25">
      IMF, 2024
     </xref>; <xref ref-type="bibr" rid="scirp.141817-1">
      AfDB, 2023
     </xref>). Combining historical financial benchmarking, real-time post-transition data, and prediction modelling gives a whole picture of Botswana’s banking sector stability in reaction to the political change.</p>
   </sec>
  </sec><sec id="s5">
   <title>
    <xref ref-type="bibr" rid="scirp.141817-"></xref>5. Results and Discussion</title>
   <sec id="s5_1">
    <title>5.1. Content Analysis of Financial Data</title>
    <p>Over the last ten years, Botswana’s banking industry has been somewhat steady despite swings in financial indicators affected by macroeconomic changes, internal policy decisions, and world economic trends. Key understanding of the sector’s capacity to negotiate economic uncertainty comes from a comparison of pre-transition data (2014-2024) with instantaneous post-transition data (November 2024-March 2025). Capital Adequacy Ratios (CAR), Non-Performing Loans (NPL), Loan-to-Deposit Ratios (LDR), and Foreign Direct Investment (FDI) inflows—all of which underline the resilience and adaptability of Botswana’s financial system in response to political and economic changes—all of which highlight the resilience and adaptability of Botswana’s financial system.</p>
    <p>The capital adequacy ratio (CAR) is a measure of a bank’s capacity to withstand financial losses and preserve solvency during an economic uncertainty. Historically, Botswana’s banking industry has often surpassed the Basel III minimum requirement of 8% because the country has maintained a strong CAR. For example, CAR averaged around 16.5% between 2014 and 2021, signaling a robust capitalization, cautious risk management practices, and stable financial reserves (<xref ref-type="bibr" rid="scirp.141817-26">
      IMF, 2021
     </xref>). But from 2022 to 2024, CAR steadily dropped to around 14.9%, mostly because of fiscal policy changes, corporate lending expansion, and rising credit issuing to drive economic development (<xref ref-type="bibr" rid="scirp.141817-25">
      IMF, 2024
     </xref>).</p>
    <p>CAR has stayed above the regulatory requirement despite this drop, proving that Botswana’s banks still have capital buffers to lower financial risk. The Bank of Botswana as a financial regulator have underlined the need of keeping capital reserves to withstand any post-transition market volatility as the nation changes politically (<xref ref-type="bibr" rid="scirp.141817-52">
      World Bank, 2023
     </xref>). Although post-transition CAR data (November 2024–March 2025) is still scarce, early forecasts show that banks are expected to maintain capital adequacy levels via risk-adjusted lending and liquidity management based on the Word bank predictions.</p>
    <p>
     <xref ref-type="bibr" rid="scirp.141817-"></xref>Non-Performing Loans (NPLs) are a key indicator in the banking industry since they measure the percentage of loans likely to fail. Historically, Botswana’s banking industry has had quite low NPL rates, which indicate strong regulatory control and credit evaluation systems. Remaining within a reasonable range, NPLs fluctuated between 3.8% to 4.5% from 2014 to 2018 (<xref ref-type="bibr" rid="scirp.141817-#HYPERLINK  l R37">
      Molokwane, 2024
     </xref>). During the COVID-19 epidemic (2020-2021) NPLs momentarily surged to 5.3% as households and struggled with financial shocks (<xref ref-type="bibr" rid="scirp.141817-27">
      IMF, 2023
     </xref>).</p>
    <p>NPL rates steadied at around 5.0% between 2022 and 2024, indicating that banks used robust risk management strategies to lower loan default during economic uncertainty (<xref ref-type="bibr" rid="scirp.141817-25">
      IMF, 2024
     </xref>). Given the continuous political change, questions have been raised on how changing regulatory structures can compromise borrower confidence. Analysts believe that NPLs may somewhat increase in the short-term, particularly if the incoming government implements measures that cause uncertainty for companies and lenders (<xref ref-type="bibr" rid="scirp.141817-29">
      Koepke, 2023
     </xref>). Nonetheless, any notable rise in loan defaults is anticipated to be contained under Botswana’s traditionally robust financial regulation and diligent risk management policies.</p>
    <p>The Loan-to-Deposit Ratio (LDR) measures financial liquidity and determines the proportion of a bank’s deposits that are turned into loans. A lower ratio denotes cautious risk management; a larger LDR indicates more aggressive lending. The banking industry of Botswana has regularly maintained a steady LDR, therefore guaranteeing a balanced approach to loan development and liquidity. Looking at a well-regulated and somewhat expansionary lending sector, LDR levels fluctuated between 84% and 91% between 2014 and 2018 (<xref ref-type="bibr" rid="scirp.141817-51">
      World Bank, 2021
     </xref>). LDR rose to 93% in 2021 as banks extended loans to help the COVID-19 slump recovery (<xref ref-type="bibr" rid="scirp.141817-29">
      Koepke, 2023
     </xref>). Just before the political shift, by 2024 LDR peaked at 95%, indicating aggressive loan issuing in expectation of possible legislative changes (<xref ref-type="bibr" rid="scirp.141817-25">
      IMF, 2024
     </xref>).</p>
    <p>Early indicators point to banks taking a more cautious lending posture after the November 2024 change; certain financial institutions have momentarily limited loan issuing because of market uncertainty. Although exact post-transition LDR numbers are not yet available, early evidence points to certain commercial banks lowering their lending exposure to help to moderate possible economic volatility (<xref ref-type="bibr" rid="scirp.141817-42">
      Oko-Odion &amp; Angela, 2025
     </xref>). LDR levels, however, should normalize as trust in the new government settles and budgetary intentions are evident.</p>
    <p>Foreign direct investment (FDI) is vital for the stability and expansion of Botswana’s banking industry serving as a major engine of liquidity, economic development, and financial sector resilience. Botswana has regularly received significant FDI over the last decade because of its stable regulatory environment, reliable fiscal policies, and well-capitalized financial institutions. FDI inflows between 2014 and 2021 averaged USD 600 million, indicating great investor confidence in the country’s economic potential (<xref ref-type="bibr" rid="scirp.141817-51">
      World Bank, 2021
     </xref>). But from 2022 to 2024, FDI inflows dropped by 10%, mostly due to altering fiscal policies, global economic uncertainty, and increased geopolitical concerns (<xref ref-type="bibr" rid="scirp.141817-42">
      Oko-Odion &amp; Angela, 2025
     </xref>).</p>
    <p>Mixed reaction from overseas investors have added another element into investment decision-making in the November 2024 political change. Some investors have adopted a wait-and-see strategy, postponing significant financial commitments until economic policies under the incoming government become clearer (<xref ref-type="bibr" rid="scirp.141817-29">
      Koepke, 2023
     </xref>). Still, Botswana’s strict financial rules and historically consistent investment environment should help to control excessive capital outflows. Under the new administration, analysts predict that FDI inflows would start to stabilize in late 2025 as investors rebuild trust in the economic future of the nation (<xref ref-type="bibr" rid="scirp.141817-#HYPERLINK  l R37">
      Molokwane, 2024
     </xref>).</p>
   </sec>
   <sec id="s5_2">
    <title>5.2. Policy Analysis of Regulatory and Government Documents</title>
    <p>Botswana’s financial regulatory landscape has undergone significant transformations between 2018 and 2025, shaped by both economic shifts and political transitions. Prior to the transition, the government adopted a conservative fiscal approach, focusing on financial stability through tight monetary policies, robust banking regulations, and foreign investment incentives (<xref ref-type="bibr" rid="scirp.141817-33">
      Masunda &amp; Mokoena, 2019
     </xref>). Regulatory frameworks during this period aimed at maintaining low inflation rates, encouraging domestic savings, and ensuring stable capital adequacy ratios for commercial banks. However, the post-transition period (November 2024-February 2025) marks a shift towards more interventionist policies. Initial government statements indicate greater emphasis on fiscal expansion and increased public sector spending, aimed at stimulating economic growth and reducing unemployment (<xref ref-type="bibr" rid="scirp.141817-52">
      World Bank, 2023
     </xref>). This shift is expected to increase pressure on the banking sector, as government borrowing rises and financial institutions adjust to changing regulatory expectations. While these policies may enhance short-term economic activity, concerns remain regarding potential inflationary effects and risks to investor confidence (<xref ref-type="bibr" rid="scirp.141817-25">
      IMF, 2024
     </xref>).</p>
    <p>Botswana’s banking sector has historically relied on strong regulatory oversight, particularly through the Bank of Botswana and its monetary policies. In the years preceding the transition, government policies emphasized macroeconomic stability, prudent fiscal management, and foreign direct investment attraction. The Financial Institutions Act (2019) introduced stricter capital adequacy requirements for commercial banks, ensuring enhanced risk management and financial resilience (<xref ref-type="bibr" rid="scirp.141817-27">
      IMF, 2023
     </xref>). Additionally, the 2021 Banking Sector Stability Report reinforced the importance of liquidity risk management, urging banks to maintain high-quality liquid assets to withstand external shocks (<xref ref-type="bibr" rid="scirp.141817-26">
      IMF, 2021
     </xref>).</p>
    <p>Following the transition, new policy measures have focused on boosting credit accessibility for small businesses, as well as adjusting tax policies to encourage economic expansion. Early indicators suggest that the new government is considering revisions to foreign exchange regulations, which may have significant implications for foreign direct investment inflows and financial sector stability (<xref ref-type="bibr" rid="scirp.141817-25">
      IMF, 2024
     </xref>). Additionally, the administration has announced plans to strengthen financial inclusion policies, particularly through digital banking expansion and mobile banking regulatory adjustments (<xref ref-type="bibr" rid="scirp.141817-29">
      Koepke, 2023
     </xref>).</p>
    <p>The Bank of Botswana (BoB) plays a critical role in ensuring financial stability through monetary policy adjustments. Prior to the transition, the BoB adopted a cautious monetary policy, maintaining the benchmark interest rate at around 3.75%, aiming to control inflation and stabilize the exchange rate (<xref ref-type="bibr" rid="scirp.141817-8">
      Bank of Botswana, 2023
     </xref>). Additionally, the central bank implemented foreign exchange interventions to support the Botswana Pula, ensuring competitiveness in regional trade markets (<xref ref-type="bibr" rid="scirp.141817-51">
      World Bank, 2021
     </xref>).</p>
    <p>In response to the political transition of November 2024, the BoB has signaled a more flexible approach, with potential rate adjustments aimed at supporting economic recovery while preventing inflationary pressures (<xref ref-type="bibr" rid="scirp.141817-42">
      Oko-Odion &amp; Angela, 2025
     </xref>). The effectiveness of these interventions remains under evaluation, but preliminary analyses suggest that market volatility has moderated, and investor confidence is beginning to stabilize. However, concerns persist regarding potential fiscal imbalances if government borrowing increases significantly (<xref ref-type="bibr" rid="scirp.141817-25">
      IMF, 2024
     </xref>). A key aspect of post-transition monetary policy is the BoB’s continued focus on financial stability measures, including stress testing of banks, monitoring capital adequacy ratios, and reinforcing regulatory compliance. These efforts aim to mitigate systemic risks, particularly as the government navigates new fiscal policy adjustments (<xref ref-type="bibr" rid="scirp.141817-29">
      Koepke, 2023
     </xref>).</p>
   </sec>
  </sec><sec id="s6">
   <title>6. Thematic Analysis of Scholarly and Industry Literature</title>
   <p>A thematic analysis of recent scholarly and industry literature (2018-2025) reveals key perspectives on the resilience of Botswana’s banking sector amidst political and economic transitions. The main themes identified include political risk and investor sentiment, macroeconomic stability, and regulatory confidence in financial systems. These themes are crucial in developing a holistic understanding of Botswana’s financial resilience post-transition.</p>
   <sec id="s6_1">
    <title>6.1. Political Risk and Investor Sentiment</title>
    <p>Political transitions often create uncertainty in financial markets, influencing investor confidence and capital flows. Botswana’s transition in November 2024 introduced short-term volatility, with some investors adopting a wait-and-see approach before making financial commitments (<xref ref-type="bibr" rid="scirp.141817-25">
      IMF, 2024
     </xref>). According to <xref ref-type="bibr" rid="scirp.141817-29">
      Koepke (2023)
     </xref>, political instability in emerging markets reduces foreign direct investment (FDI) inflows, as investors tend to avoid economies undergoing significant political shifts.</p>
    <p>Prior to the transition, Botswana’s banking sector benefited from strong investor confidence, with steady FDI inflows averaging USD 550 million annually (<xref ref-type="bibr" rid="scirp.141817-51">
      World Bank, 2021
     </xref>). However, reports indicate that post-transition investor sentiment became mixed, with some international investors expressing concerns about potential policy shifts (<xref ref-type="bibr" rid="scirp.141817-42">
      Oko-Odion &amp; Angela, 2025
     </xref>). Nevertheless, Botswana’s historical reputation for stable governance and regulatory prudence has helped mitigate extreme investor reactions. Moreover, regulatory transparency and consistent economic policies play a critical role in shaping investor confidence. Research by <xref ref-type="bibr" rid="scirp.141817-19">
      Haile et al. (2025)
     </xref> highlights that banking resilience in Africa is highly dependent on policy predictability, as erratic policy changes tend to erode investor trust. For Botswana, the transition represents a test of its financial regulatory framework, as policymakers work to maintain macroeconomic and financial stability amidst political change.</p>
   </sec>
   <sec id="s6_2">
    <title>6.2. Macroeconomic Stability</title>
    <p>Macroeconomic stability is a fundamental driver of banking sector resilience, particularly in economies experiencing political shifts. Botswana has traditionally maintained low inflation rates, stable GDP growth, and a well-capitalized banking sector, ensuring financial stability (<xref ref-type="bibr" rid="scirp.141817-26">
      IMF, 2021
     </xref>). However, the post-transition period presents potential macroeconomic risks, including policy-driven inflation, exchange rate fluctuations, and shifts in public expenditure (<xref ref-type="bibr" rid="scirp.141817-52">
      World Bank, 2023
     </xref>).</p>
    <p>Prior to the transition, Botswana’s macroeconomic policies emphasized conservative fiscal management, with a focus on inflation control, currency stability, and sustainable public debt levels (<xref ref-type="bibr" rid="scirp.141817-25">
      IMF, 2024
     </xref>). The Bank of Botswana’s monetary policy framework played a key role in anchoring financial stability, maintaining a benchmark interest rate at around 3.75% to balance economic growth and inflation (<xref ref-type="bibr" rid="scirp.141817-8">
      Bank of Botswana, 2023
     </xref>). Following the political transition, emerging reports suggest potential expansionary fiscal policies, including higher public spending on infrastructure and economic stimulus measures. While such policies may boost short-term economic activity, scholars warn that excessive fiscal expansion could lead to inflationary pressures and currency depreciation (<xref ref-type="bibr" rid="scirp.141817-25">
      IMF, 2024
     </xref>). Macroeconomic modeling by <xref ref-type="bibr" rid="scirp.141817-25">
      IMF (2024)
     </xref> indicates that political transitions in emerging economies tend to trigger short-term GDP slowdowns, with recovery dependent on regulatory clarity and investor confidence restoration. Botswana’s macroeconomic outlook remains cautiously optimistic, with analysts suggesting that continued regulatory discipline and sound monetary policies will be key determinants of long-term stability. The post-transition banking sector resilience will largely depend on how the government manages public debt, inflation risks, and foreign exchange reserves over the next 12 - 24 months (<xref ref-type="bibr" rid="scirp.141817-29">
      Koepke, 2023
     </xref>).</p>
   </sec>
   <sec id="s6_3">
    <title>6.3. Regulatory Confidence in Financial Systems</title>
    <p>Regulatory confidence is a key pillar of financial resilience, as it determines the ability of banks to adapt to changing economic and political conditions. Botswana’s financial regulatory framework is considered one of the strongest in Sub-Saharan Africa, with robust capital adequacy requirements, liquidity management policies, and stress-testing mechanisms (<xref ref-type="bibr" rid="scirp.141817-26">
      IMF, 2021
     </xref>). Before the transition, Botswana’s banking regulatory system was widely recognized for its stability, with institutions such as the Bank of Botswana ensuring prudential oversight. Research by <xref ref-type="bibr" rid="scirp.141817-27">
      IMF (2023)
     </xref> emphasizes that strong regulatory institutions shield banking sectors from external shocks, allowing financial institutions to remain stable despite economic uncertainties.</p>
    <p>However, political transitions often introduce policy uncertainty, which can affect regulatory confidence. Early post-transition reports suggest that the new government is considering adjustments to financial sector regulations, including potential changes in capital requirements and banking supervision mechanisms (<xref ref-type="bibr" rid="scirp.141817-25">
      IMF, 2024
     </xref>). While such reforms could enhance financial sector competitiveness, scholars warn that frequent regulatory changes without stakeholder consultation can increase systemic risk (<xref ref-type="bibr" rid="scirp.141817-29">
      Koepke, 2023
     </xref>). One critical aspect of regulatory confidence is the resilience of Botswana’s monetary policy framework. The Bank of Botswana continues to play a stabilizing role, with recent statements indicating that it will prioritize inflation control and exchange rate stability in the post-transition era (<xref ref-type="bibr" rid="scirp.141817-42">
      Oko-Odion &amp; Angela, 2025
     </xref>). While uncertainties remain regarding potential fiscal and financial policy shifts, the central bank’s continued independence and transparency will be essential in maintaining regulatory confidence (<xref ref-type="bibr" rid="scirp.141817-19">
      Haile et al., 2025
     </xref>).</p>
   </sec>
  </sec><sec id="s7">
   <title>7. Discussion and Policy Implications</title>
   <sec id="s7_1">
    <title>7.1. Discussion</title>
    <p>Botswana’s banking system may not be naturally stable financially, but rather the outcome of certain policy choices, regulatory protections, and market mood reactions. Although the results show that Botswana’s banking industry has been steady after the political change of 2024, it is important to investigate the fundamental causative factors supporting this resilience. Predicting long-term financial trends and guaranteeing that resilience is sustained beyond short-term stabilization measures depends on an awareness of the cause-and-effect links underlying banking sector performance (<xref ref-type="bibr" rid="scirp.141817-25">
      IMF, 2024
     </xref>; <xref ref-type="bibr" rid="scirp.141817-52">
      World Bank, 2023
     </xref>).</p>
    <p>The strength of Botswana’s capital reserves and sensible lending policies help to explain one of the main elements supporting banking stability. Botswana’s banks started the transition era with strong financial buffers as pre-transition financial data (2014-2024) demonstrates that Capital Adequacy Ratios (CAR) routinely exceeded international Basel III criteria. This substantial capitalization helped banks to survive brief capital withdrawals and economic turmoil in the immediately following months. Further underlining financial sector resilience, loan-to-deposit ratios (LDRs) were quite constant, indicating that banks did not participate in too risky pre-transition (<xref ref-type="bibr" rid="scirp.141817-25">
      IMF, 2024
     </xref>).</p>
    <p>The Financial Resilience Comparison (<xref ref-type="table" rid="table1">
      Table 1
     </xref>) offers a methodical assessment of this response. With a Capital Adequacy Ratio (CAR) of 15.8%, Botswana shown the best post-transition banking resilience, meaning that banks had solid financial buffers, hence reducing systemic risk (<xref ref-type="bibr" rid="scirp.141817-8">
      Bank of Botswana, 2023
     </xref>). Reflecting more financial hardship resulting from policy uncertainty and investor anxiety, South Africa (10.1%) and Ghana (9.5%) had smaller decreases in CAR (<xref ref-type="bibr" rid="scirp.141817-25">
      IMF, 2024
     </xref>; <xref ref-type="bibr" rid="scirp.141817-29">
      Koepke, 2023
     </xref>). Botswana’s Non-Performing Loan (NPL) percentage remained low at 4.1%, indicating efficient credit risk management, unlike Zambia (18.3%), were economic downturns and depreciation of currencies prompted a jump in bad loans (<xref ref-type="bibr" rid="scirp.141817-1">
      AfDB, 2023
     </xref>). With a policy stability score of 8/10, which indicates regulatory consistency and calibrated economic reactions, contrasted to South Africa (5/10) and Ghana (6/10), where sudden policy changes increased financial volatility, policy stability was clearly important in Botswana’s resilience. Botswana’s stability is further underlined by investor confidence changes, which show that, despite the shift, Botswana’s financial policies comforted investors even if capital outflows were only a 3% fall, far less than South Africa (−15%) and Zambia (−22%). Emphasising that institutional continuity, conservative lending practices, and predictable regulatory policies are basic to reducing financial instability during political changes, these results line with political economy theories on financial resilience (<xref ref-type="bibr" rid="scirp.141817-25">
      IMF, 2024
     </xref>; <xref ref-type="bibr" rid="scirp.141817-29">
      Koepke, 2023
     </xref>). Botswana’s banking industry avoided extreme post-transition financial crisis by keeping capital reserves, applying slow fiscal changes, and guaranteeing regulatory stability, so differentiating it from past cases of economic upheaval following governance changes in emerging markets (<xref ref-type="bibr" rid="scirp.141817-52">
      World Bank, 2023
     </xref>).</p>
    <table-wrap id="table1">
     <label>
      <xref ref-type="table" rid="table1">
       Table 1
      </xref></label>
     <caption>
      <title>
       <xref ref-type="bibr" rid="scirp.141817-"></xref>Table 1. Financial resilience comparison.</title>
     </caption>
     <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
      <tr> 
       <td class="custom-bottom-td custom-top-td acenter" width="18.40%"><p style="text-align:center">Country</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="13.64%"><p style="text-align:center">Pre-Transition CAR (%)</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="13.64%"><p style="text-align:center">Post-Transition CAR (%)</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="13.64%"><p style="text-align:center">Pre-Transition NPL Ratio (%)</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="13.64%"><p style="text-align:center">Post-Transition NPL Ratio (%)</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="12.07%"><p style="text-align:center">Policy Stability Score (1 - 10)</p></td> 
       <td class="custom-bottom-td custom-top-td acenter" width="15.00%"><p style="text-align:center">Investor Confidence Change (%)</p></td> 
      </tr> 
      <tr> 
       <td class="custom-top-td acenter" width="18.40%"><p style="text-align:center">Botswana (2024)</p></td> 
       <td class="custom-top-td acenter" width="13.64%"><p style="text-align:center">16.5</p></td> 
       <td class="custom-top-td acenter" width="13.64%"><p style="text-align:center">15.8</p></td> 
       <td class="custom-top-td acenter" width="13.64%"><p style="text-align:center">3.8</p></td> 
       <td class="custom-top-td acenter" width="13.64%"><p style="text-align:center">4.1</p></td> 
       <td class="custom-top-td acenter" width="12.07%"><p style="text-align:center">8</p></td> 
       <td class="custom-top-td acenter" width="15.00%"><p style="text-align:center">−3</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="18.40%"><p style="text-align:center">South Africa (1994)</p></td> 
       <td class="acenter" width="13.64%"><p style="text-align:center">13.2</p></td> 
       <td class="acenter" width="13.64%"><p style="text-align:center">10.1</p></td> 
       <td class="acenter" width="13.64%"><p style="text-align:center">5.2</p></td> 
       <td class="acenter" width="13.64%"><p style="text-align:center">12</p></td> 
       <td class="acenter" width="12.07%"><p style="text-align:center">5</p></td> 
       <td class="acenter" width="15.00%"><p style="text-align:center">−15</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="18.40%"><p style="text-align:center">Ghana (2016)</p></td> 
       <td class="acenter" width="13.64%"><p style="text-align:center">11.5</p></td> 
       <td class="acenter" width="13.64%"><p style="text-align:center">9.5</p></td> 
       <td class="acenter" width="13.64%"><p style="text-align:center">7</p></td> 
       <td class="acenter" width="13.64%"><p style="text-align:center">9.8</p></td> 
       <td class="acenter" width="12.07%"><p style="text-align:center">6</p></td> 
       <td class="acenter" width="15.00%"><p style="text-align:center">−12</p></td> 
      </tr> 
      <tr> 
       <td class="acenter" width="18.40%"><p style="text-align:center">Zambia (2015)</p></td> 
       <td class="acenter" width="13.64%"><p style="text-align:center">10.8</p></td> 
       <td class="acenter" width="13.64%"><p style="text-align:center">8.2</p></td> 
       <td class="acenter" width="13.64%"><p style="text-align:center">12.5</p></td> 
       <td class="acenter" width="13.64%"><p style="text-align:center">18.3</p></td> 
       <td class="acenter" width="12.07%"><p style="text-align:center">4</p></td> 
       <td class="acenter" width="15.00%"><p style="text-align:center">−22</p></td> 
      </tr> 
     </table>
    </table-wrap>
    <p>Sources: <xref ref-type="bibr" rid="scirp.141817-10">
      Bank of Zambia (2016)
     </xref>; <xref ref-type="bibr" rid="scirp.141817-9">
      Bank of Ghana (2017)
     </xref>; <xref ref-type="bibr" rid="scirp.141817-37">
      Mosala (2017)
     </xref>; <xref ref-type="bibr" rid="scirp.141817-29">
      Koepke (2023)
     </xref>.</p>
    <p>Macroeconomic policy stability and regulatory continuity are yet other important elements. The Bank of Botswana maintained a stable monetary policy posture despite the governmental upheaval, thereby guaranteeing that systems of financial supervision, interest rate regulation, and liquidity management remained basically unaltered. This policy consistently comforted investors, therefore reducing capital flight risks and preserving stability in foreign direct investment (FDI) inflows (<xref ref-type="bibr" rid="scirp.141817-1">
      AfDB, 2023
     </xref>). Other African nations that saw political upheavals with sudden policy changes, notably Ghana (2016) and South Africa (1994), witnessed greater degrees of financial volatility and capital flight resulting from policy uncertainty (<xref ref-type="bibr" rid="scirp.141817-29">
      Koepke, 2023
     </xref>). Botswana’s relative stability implies that resilience of the banking industry depends much on policy consistency.</p>
    <p>Maintaining financial stability also depends much on investor confidence. While early market responses after transition showed cautious investment behavior, the banking industry did not suffer a protracted liquidity crisis. This implies that investors see Botswana’s financial system as fundamentally strong, therefore lowering the possibility of speculative withdrawals or extreme credit contractions (<xref ref-type="bibr" rid="scirp.141817-52">
      World Bank, 2023
     </xref>). Nonetheless, qualitative observations from financial analysts and industry professionals point to a conditional nature of this confidence: continued stability will rely on how successfully the new government handles long-term banking rules, foreign currency restrictions, and fiscal policies (<xref ref-type="bibr" rid="scirp.141817-14">
      Eurasia Group, 2024
     </xref>).</p>
    <p>Comparative analysis of pre- and post-transition financial data supports the theory that main drivers of banking resilience were consistent regulations and substantial capital buffers. For example, while minor variations in loan default rates and short-term liquidity ratios were noted, the total non-performing loan (NPL) ratio stayed below 5%, in line with past patterns and suggests no appreciable systemic risk (<xref ref-type="bibr" rid="scirp.141817-25">
      IMF, 2024
     </xref>; <xref ref-type="bibr" rid="scirp.141817-8">
      Bank of Botswana, 2023
     </xref>). As shown in Zambia’s banking sector post-2015 currency volatility (<xref ref-type="bibr" rid="scirp.141817-1">
      AfDB, 2023
     </xref>), nations with smaller pre-transition financial buffers usually suffer higher post-transition loan default rates and extended credit contraction.</p>
    <p>Comparative tables and scenario models may help to map financial stability drivers, including capital adequacy levels, lending behaviors, regulatory actions, and investor sentiment indicators—so further illustrating these cause-effect links. More qualitative views from banks executives, legislators, and economists should be included in future studies to help to better grasp how financial sector decision-making develops in reaction to political change (<xref ref-type="bibr" rid="scirp.141817-52">
      World Bank, 2023
     </xref>).</p>
   </sec>
   <sec id="s7_2">
    <title>7.2. Policy Implications</title>
    <p>Maintaining the resilience of Botswana’s banking industry among political transition’s uncertainty depends on a well-organised and practical policy structure. Although regulatory stability has helped to maintain investor confidence and financial system integrity, a proactive strategy is required to handle developing systematic risks, capital market swings, and changing regulatory demands (<xref ref-type="bibr" rid="scirp.141817-25">
      IMF, 2024
     </xref>).</p>
    <p>Using official stress testing systems for financial institutions is one of the best ways to protect banking stability. Stress testing helps them to guarantee sufficient liquidity, capital reserves, and risk reducing techniques by allowing banks to replicate worst-case political and economic situations (<xref ref-type="bibr" rid="scirp.141817-1">
      AfDB, 2023
     </xref>). Following governance changes, nations such South Africa and Ghana have effectively used stress testing systems to assess banks resilience against external shocks and capital flight risks (<xref ref-type="bibr" rid="scirp.141817-52">
      World Bank, 2023
     </xref>). To preventively find weaknesses and develop financial risk assessment systems, Botswana’s regulatory authorities should mandate at least twice-year mandated stress testing activities.</p>
    <p>The Botswana government should also give slow tax changes priority to stop capital outflows and investor flight. As evidenced by Namibia’s fiscal reform after 1990, sudden increases in corporate taxes or banking charges, may erode investor confidence. Botswana could so phase-in tax changes over a multi-year period, keeping incentives for the expansion of the financial industry. Long-term financial stability depends on implementing progressive tax policies that support bank reinvestment in local markets instead of restricting foreign capital flows (<xref ref-type="bibr" rid="scirp.141817-29">
      Koepke, 2023
     </xref>).</p>
    <p>Moreover, investments in digital financial infrastructure should be given top priority to improve banking resilience and maintain financial inclusion during times of political and economic instability. In nations undergoing governance changes, including Kenya and Nigeria, mobile banking, digital payments, and blockchain-based financial security systems have been successful in preserving financial stability and increasing access to banking services (<xref ref-type="bibr" rid="scirp.141817-1">
      AfDB, 2023
     </xref>). Botswana can guarantee ongoing access to credit, safe financial transactions, and economic involvement for companies and people—even in times of political uncertainty—by motivating the spread of digital financial services (<xref ref-type="bibr" rid="scirp.141817-52">
      World Bank, 2023
     </xref>).</p>
    <p>Botswana’s financial authorities—including the Bank of Botswana and the Ministry of Finance—should create a well-organised road map with precise implementation dates to guarantee the proper application of these policy suggestions. First immediate initiatives include including financial stress testing into yearly regulatory evaluations; next, tax reform ideas will be presented in line with important economic players. Long-term investments in digital banking infrastructure should match regional financial inclusion plans to provide a more flexible and strong banking environment (<xref ref-type="bibr" rid="scirp.141817-25">
      IMF, 2024
     </xref>).</p>
    <p>Botswana’s financial industry may negotiate political transition uncertainty by moving from general regulatory guidelines to focused, concrete policy initiatives, thereby building investor confidence and financial system integrity. Long-term financial stability will be ensured by a methodical, phased approach to stress testing, tax policy changes, and digital banking development, therefore lowering the post-transition credit market contraction and capital flight risk (<xref ref-type="bibr" rid="scirp.141817-29">
      Koepke, 2023
     </xref>; <xref ref-type="bibr" rid="scirp.141817-52">
      World Bank, 2023
     </xref>).</p>
   </sec>
   <sec id="s7_3">
    <title>7.3. Study Limitations</title>
    <p>This paper focusses only on the resilience of Botswana’s banking industry during the political change of 2024 using a single-case study technique. Although this approach offers in-depth understanding of nation-specific financial and institutional processes, it naturally restricts the capacity to extend results to other environments (<xref ref-type="bibr" rid="scirp.141817-54">
      Yin, 2018
     </xref>). Thorough contextual analysis would make it possible to gain a broad knowledge of financial sector reactions to governmental changes. Nonetheless, the results of Botswana’s particular political history, banking system, and regulatory environment limit their relevance to other developing nations (<xref ref-type="bibr" rid="scirp.141817-52">
      World Bank, 2023
     </xref>).</p>
    <p>Botswana’s change is assessed in respect to comparable political and financial changes in other African countries, especially South Africa (1994), Ghana (2016), and Namibia (1990), therefore improving the relative relevance of the research. Following legislative changes and foreign investment laws, the post-apartheid transition brought first market volatility followed by financial stability in South Africa (<xref ref-type="bibr" rid="scirp.141817-29">
      Koepke, 2023
     </xref>). Similar brief financial uncertainty was brought about by Ghana’s 2016 power change; investor confidence rebuilt as economic policies were defined (<xref ref-type="bibr" rid="scirp.141817-1">
      AfDB, 2023
     </xref>). Another pertinent analogy is Namibia’s shift to an independent financial system after 1990 as it forced banking industry adjustments to new governance arrangements (<xref ref-type="bibr" rid="scirp.141817-25">
      IMF, 2024
     </xref>). Although Botswana’s financial resilience has parallels with these cases—especially in terms of regulatory stability and investor adaptation—its history is unusual in that the nation depends mostly on mineral-driven income and a quite small but steady banking industry (<xref ref-type="bibr" rid="scirp.141817-8">
      Bank of Botswana, 2023
     </xref>).</p>
    <p>Comparative studies, including many nations experiencing political changes, should be investigated in future studies so that a more complete assessment of financial sector resilience under different governance structures is possible. Beyond Botswana, a more general evaluation of how macroeconomic policies, regulatory systems, and investor attitude react to political transition in developing nations would be made possible (<xref ref-type="bibr" rid="scirp.141817-52">
      World Bank, 2023
     </xref>).</p>
   </sec>
  </sec><sec id="s8">
   <title>8. Conclusion</title>
   <p>The results of this analysis suggest that Botswana’s banking industry has exhibited amazing resilience in the aftermath of the 2024 political change due mostly to strong pre-existing financial buffers, persistent regulatory control, and measured investor reactions. Botswana’s financial institutions were positioned to absorb first economic shocks without major disruptions according to the stability in Capital Adequacy Ratios (CAR), controlled levels of Non-Performing Loans (NPLs), and limited investor confidence drop (<xref ref-type="bibr" rid="scirp.141817-8">
     Bank of Botswana, 2023
    </xref>; <xref ref-type="bibr" rid="scirp.141817-25">
     IMF, 2024
    </xref>). Botswana’s capacity to sustain monetary policy continuity and slow regulatory adjustments has helped to create a more stable post-transition economic environment than historical cases in South Africa, Ghana, and Zambia, where policy uncertainty and sudden fiscal adjustments raised financial instability (<xref ref-type="bibr" rid="scirp.141817-52">
     World Bank, 2023
    </xref>; <xref ref-type="bibr" rid="scirp.141817-29">
     Koepke, 2023
    </xref>).</p>
   <p>Notwithstanding these encouraging signs, new financial dangers are needed for aggressive policy responses. Careful lending strategies might restrict credit availability for households and companies, therefore slowing down economic growth. Furthermore, susceptible to changes in fiscal policy is investor mood, hence open economic decision-making and financial communication techniques are needed to strengthen market trust (<xref ref-type="bibr" rid="scirp.141817-14">
     Eurasia Group, 2024
    </xref>). In the long term, Botswana must improve digital financial infrastructure, increase financial inclusion, and create strong stress-testing systems to resist outside shocks and upcoming political changes (<xref ref-type="bibr" rid="scirp.141817-1">
     AfDB, 2023
    </xref>). Other emerging markets’ experience points to the need for slow tax reforms, focused banking sector interventions, and continuous foreign investment strategies to maintain financial stability while advancing economic development (<xref ref-type="bibr" rid="scirp.141817-25">
     IMF, 2024
    </xref>).</p>
   <p>This paper provides a paradigm for comprehending the interaction between governance changes, financial policy stability, and investor behavior, therefore contributing to the increasing body of literature on banking resilience in politically transitional countries. Future studies should follow Botswana’s financial system longitudinally, studying it beyond the immediate post-transition era to see if early indicators of stability transfer into ongoing economic resilience. Comparative cross-country research including comparable governance transitions in African and worldwide economies might improve the knowledge of banking sector flexibility in response to political changes even further (<xref ref-type="bibr" rid="scirp.141817-52">
     World Bank, 2023
    </xref>). This paper provides a significant direction for financial regulators, legislators, and institutional investors in managing banking resilience across governance changes by combining empirical financial data with policy-driven insights. In the end, Botswana’s experience is a great case study showing how proactive governmental actions, careful financial management, and institutional stability may help to build finance sector resilience in politically active surroundings.</p>
  </sec><sec id="s9">
   <title>Appendices</title>
   <table-wrap id="table2">
    <label>
     <xref ref-type="table" rid="table2">
      Table 2
     </xref></label>
    <caption>
     <title>
      <xref ref-type="bibr" rid="scirp.141817-"></xref>Table A1. Financial indicators (2014-2024).</title>
    </caption>
    <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
     <tr> 
      <td class="aleft" width="23.08%"><p style="text-align:left">Capital Adequacy Ratio (CAR)</p></td> 
      <td class="aleft" width="38.47%"><p style="text-align:left">14.8% - 16.5%, aligned with Basel III (<xref ref-type="bibr" rid="scirp.141817-25">
         IMF, 2024
        </xref>; EIB, 2020)</p></td> 
      <td class="aleft" width="38.45%"><p style="text-align:left">Estimated 14.7%, stable but cautious (<xref ref-type="bibr" rid="scirp.141817-25">
         IMF, 2024
        </xref>)</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="23.08%"><p style="text-align:left">Non-Performing Loans (NPLs)</p></td> 
      <td class="aleft" width="38.47%"><p style="text-align:left">4.5% - 5.3%, manageable (<xref ref-type="bibr" rid="scirp.141817-52">
         World Bank, 2023
        </xref>)</p></td> 
      <td class="aleft" width="38.45%"><p style="text-align:left">Estimated 5.2%, slight increase (<xref ref-type="bibr" rid="scirp.141817-52">
         World Bank, 2023
        </xref>)</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="23.08%"><p style="text-align:left">Loan-to-Deposit Ratio (LDR)</p></td> 
      <td class="aleft" width="38.47%"><p style="text-align:left">85% - 95%, indicating strong liquidity (<xref ref-type="bibr" rid="scirp.141817-8">
         Bank of Botswana, 2023
        </xref>)</p></td> 
      <td class="aleft" width="38.45%"><p style="text-align:left">Estimated 92%, reflecting cautious lending (<xref ref-type="bibr" rid="scirp.141817-#HYPERLINK  l R08">
         BoB, 2023
        </xref>)</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="23.08%"><p style="text-align:left">Foreign Direct Investment (FDI) Inflows</p></td> 
      <td class="aleft" width="38.47%"><p style="text-align:left">$550M - $470M, declining due to uncertainty (<xref ref-type="bibr" rid="scirp.141817-52">
         World Bank, 2023
        </xref>)</p></td> 
      <td class="aleft" width="38.45%"><p style="text-align:left">Estimated $460M, further impacted by political </p><p style="text-align:left">transition (<xref ref-type="bibr" rid="scirp.141817-52">
         World Bank, 2023
        </xref>; <xref ref-type="bibr" rid="scirp.141817-14">
         Eurasia
        </xref> <xref ref-type="bibr" rid="scirp.141817-14">
         Group, 2024
        </xref>)</p></td> 
     </tr> 
    </table>
   </table-wrap>
   <table-wrap id="table3">
    <label>
     <xref ref-type="table" rid="table3">
      Table 3
     </xref></label>
    <caption>
     <title>
      <xref ref-type="bibr" rid="scirp.141817-"></xref>Table A2. Monetary and fiscal policy adjustments.</title>
    </caption>
    <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="26.20%"><p style="text-align:center">Policy Aspect</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="38.48%"><p style="text-align:center">Pre-Transition (2014-2024)</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="35.32%"><p style="text-align:center">Post-Transition (Nov 2024-Feb 2025)</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td aleft" width="26.20%"><p style="text-align:left">Interest Rate</p></td> 
      <td class="custom-top-td aleft" width="38.48%"><p style="text-align:left">Maintained at 3.75% for price stability</p></td> 
      <td class="custom-top-td aleft" width="35.32%"><p style="text-align:left">Potential adjustments to stimulate growth</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="26.20%"><p style="text-align:left">Capital Reserve Requirements</p></td> 
      <td class="aleft" width="38.48%"><p style="text-align:left">Strict Basel III compliance</p></td> 
      <td class="aleft" width="35.32%"><p style="text-align:left">Possible easing of reserve requirements</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="26.20%"><p style="text-align:left">Taxation on Foreign Investments</p></td> 
      <td class="aleft" width="38.48%"><p style="text-align:left">Stable, with minimal foreign investment taxation</p></td> 
      <td class="aleft" width="35.32%"><p style="text-align:left">Proposed changes to attract foreign capital</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="26.20%"><p style="text-align:left">Government Spending</p></td> 
      <td class="aleft" width="38.48%"><p style="text-align:left">Controlled public spending, low debt</p></td> 
      <td class="aleft" width="35.32%"><p style="text-align:left">Increase in public expenditure</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="26.20%"><p style="text-align:left">Banking Sector Regulations</p></td> 
      <td class="aleft" width="38.48%"><p style="text-align:left">Tightly regulated banking sector</p></td> 
      <td class="aleft" width="35.32%"><p style="text-align:left">Potential review of regulatory policies</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="26.20%"><p style="text-align:left">Financial Inclusion Initiatives</p></td> 
      <td class="aleft" width="38.48%"><p style="text-align:left">Incremental expansion in digital banking</p></td> 
      <td class="aleft" width="35.32%"><p style="text-align:left">Accelerated push for digital banking reforms</p></td> 
     </tr> 
    </table>
   </table-wrap>
   <p>Sources: <xref ref-type="bibr" rid="scirp.141817-25">
     IMF (2024)
    </xref>. Botswana’s Economic and Financial Policy Overview: Post-Transition Strategies, <xref ref-type="bibr" rid="scirp.141817-8">
     Bank of Botswana (2023)
    </xref>. Monetary Policy Statement 2022. <xref ref-type="bibr" rid="scirp.141817-1">
     African Development Bank (2023)
    </xref>.</p>
   <table-wrap id="table4">
    <label>
     <xref ref-type="table" rid="table4">
      Table 4
     </xref></label>
    <caption>
     <title>
      <xref ref-type="bibr" rid="scirp.141817-"></xref>Table A3. Thematic analysis of scholarly and industry literature.</title>
    </caption>
    <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="16.79%"><p style="text-align:center">Country</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="25.88%"><p style="text-align:center">Banking Resilience Score (2024)</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="57.33%"><p style="text-align:center">Key Strengths</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td acenter" width="16.79%"><p style="text-align:center">South Africa</p></td> 
      <td class="custom-top-td acenter" width="25.88%"><p style="text-align:center">8.5</p></td> 
      <td class="custom-top-td aleft" width="57.33%"><p style="text-align:left">Strong regulatory framework, deep capital markets</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="16.79%"><p style="text-align:center">Botswana</p></td> 
      <td class="acenter" width="25.88%"><p style="text-align:center">8.2</p></td> 
      <td class="aleft" width="57.33%"><p style="text-align:left">High capital adequacy, stable macroeconomic conditions</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="16.79%"><p style="text-align:center">Namibia</p></td> 
      <td class="acenter" width="25.88%"><p style="text-align:center">7.9</p></td> 
      <td class="aleft" width="57.33%"><p style="text-align:left">Moderate financial stability, robust credit system</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="16.79%"><p style="text-align:center">Kenya</p></td> 
      <td class="acenter" width="25.88%"><p style="text-align:center">7.5</p></td> 
      <td class="aleft" width="57.33%"><p style="text-align:left">Strong mobile banking penetration, growing financial inclusion</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="16.79%"><p style="text-align:center">Nigeria</p></td> 
      <td class="acenter" width="25.88%"><p style="text-align:center">6.8</p></td> 
      <td class="aleft" width="57.33%"><p style="text-align:left">Large banking sector, but exposed to oil price volatility</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="16.79%"><p style="text-align:center">Ghana</p></td> 
      <td class="acenter" width="25.88%"><p style="text-align:center">6.4</p></td> 
      <td class="aleft" width="57.33%"><p style="text-align:left">Expanding financial sector, but facing debt sustainability risks</p></td> 
     </tr> 
     <tr> 
      <td class="acenter" width="16.79%"><p style="text-align:center">Zambia</p></td> 
      <td class="acenter" width="25.88%"><p style="text-align:center">5.9</p></td> 
      <td class="aleft" width="57.33%"><p style="text-align:left">Weaker financial resilience due to high debt levels</p></td> 
     </tr> 
    </table>
   </table-wrap>
   <p>Sources: <xref ref-type="bibr" rid="scirp.141817-1">
     African Development Bank (2023)
    </xref>, <xref ref-type="bibr" rid="scirp.141817-52">
     World Bank (2023
    </xref>).</p>
   <table-wrap id="table5">
    <label>
     <xref ref-type="table" rid="table5">
      Table 5
     </xref></label>
    <caption>
     <title>
      <xref ref-type="bibr" rid="scirp.141817-"></xref>Table A4. Financial sector resilience ranking.</title>
    </caption>
    <table class="MsoTableGrid custom-table" border="0" cellspacing="0" cellpadding="0"> 
     <tr> 
      <td class="custom-bottom-td custom-top-td acenter" width="29.50%"><p style="text-align:center">Theme</p></td> 
      <td class="custom-bottom-td custom-top-td acenter" width="70.50%"><p style="text-align:center">Key Findings</p></td> 
     </tr> 
     <tr> 
      <td class="custom-top-td aleft" width="29.50%"><p style="text-align:left">Political Risk and Investor Sentiment</p></td> 
      <td class="custom-top-td aleft" width="70.50%"><p style="text-align:left">Political uncertainty post-transition has led to fluctuating investor confidence and temporary FDI decline (<xref ref-type="bibr" rid="scirp.141817-25">
         IMF, 2024
        </xref>; <xref ref-type="bibr" rid="scirp.141817-29">
         Koepke, 2023
        </xref>).</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="29.50%"><p style="text-align:left">Macroeconomic Stability</p></td> 
      <td class="aleft" width="70.50%"><p style="text-align:left">Macroeconomic indicators, including inflation and fiscal policy, remain stable but require monitoring to prevent financial instability (<xref ref-type="bibr" rid="scirp.141817-52">
         World Bank, 2023
        </xref>; <xref ref-type="bibr" rid="scirp.141817-25">
         IMF et al., 2024
        </xref>).</p></td> 
     </tr> 
     <tr> 
      <td class="aleft" width="29.50%"><p style="text-align:left">Regulatory Confidence in Financial Systems</p></td> 
      <td class="aleft" width="70.50%"><p style="text-align:left">Botswana financial regulatory framework is robust, but potential policy shifts could impact banking resilience (<xref ref-type="bibr" rid="scirp.141817-#HYPERLINK  l R08">
         BoB, 2023
        </xref>; <xref ref-type="bibr" rid="scirp.141817-19">
         Haile et al., 2025
        </xref>).</p></td> 
     </tr> 
    </table>
   </table-wrap>
  </sec>
 </body><back>
  <ref-list>
   <title>References</title>
   <ref id="scirp.141817-ref1">
    <label>1</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     African Development Bank (AfDB) (2023). Macroeconomic Trends in Southern Africa: A Comparative Financial Stability Assessment. 
    </mixed-citation>
   </ref>
   <ref id="scirp.141817-ref2">
    <label>2</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Agur, I., Peria, S. M.,&amp;Rochon, C. (2020). Digital Financial Services and the Pandemic: Opportunities and Risks for Emerging and Developing Economies. International Monetary Fund Special Series.
    </mixed-citation>
   </ref>
   <ref id="scirp.141817-ref3">
    <label>3</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Alam, A., Uddin, M.,&amp;Yazdifar, H. (2019). Institutional Determinants of R&amp;D Investment: Evidence from Emerging Markets. Technological Forecasting and Social Change, 146, 153-165. &gt;https://doi.org/10.1016/j.techfore.2019.05.001 
    </mixed-citation>
   </ref>
   <ref id="scirp.141817-ref4">
    <label>4</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Alsagr, N.,&amp;Van Hemmen, S. (2021). The Impact of Financial Development and Geopolitical Risk on Renewable Energy Consumption: Evidence from Emerging Markets. Environmental Science and Pollution Research, 28, 25906-25919. &gt;https://doi.org/10.1007/s11356-021-12447-2
    </mixed-citation>
   </ref>
   <ref id="scirp.141817-ref5">
    <label>5</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Ameer, W., Peres, M.,&amp;Xu, H. (2018). The Impact of Institutional Quality on Foreign Direct Investment Inflows: Evidence for Developed and Developing Countries. Economic Research, 31, 114-128. &gt;https://doi.org/10.1080/1331677X.2018.1409613 
    </mixed-citation>
   </ref>
   <ref id="scirp.141817-ref6">
    <label>6</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Arslan, Y., Drehmann, M.,&amp;Hofmann, B. (2020). Central Bank Bond Purchases in Emerging Market Economies. BIS Bulletin No. 20. Bank for International Settlements. &gt;https://www.bis.org/publ/bisbull20.pdf
    </mixed-citation>
   </ref>
   <ref id="scirp.141817-ref7">
    <label>7</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Bank of Botswana (BoB) (2022). Annual Banking Supervision Report. &gt;https://www.bankofbotswana.bw/publications 
    </mixed-citation>
   </ref>
   <ref id="scirp.141817-ref8">
    <label>8</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Bank of Botswana (BoB) (2023). Monetary Policy and Financial Stability Report. 
    </mixed-citation>
   </ref>
   <ref id="scirp.141817-ref9">
    <label>9</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Bank of Ghana (2017). Monetary Policy Report on Financial Stability Post-2016 Elections. 
    </mixed-citation>
   </ref>
   <ref id="scirp.141817-ref10">
    <label>10</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Bank of Zambia (2016). The Impact of Political Transitions on Financial Markets in Emerging Economies. 
    </mixed-citation>
   </ref>
   <ref id="scirp.141817-ref11">
    <label>11</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Botlhale, E. K. (2016). Financing Development through Public-Private Partnerships in Botswana. African Journal of Economic and Management Studies, 7, 349-362. &gt;https://apsdpr.org/index.php/apsdpr/article/view/105 
    </mixed-citation>
   </ref>
   <ref id="scirp.141817-ref12">
    <label>12</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Cantarero, D. (2020). Political Transitions and Macroeconomic Stability: Evidence from Latin America. Emerging Markets Finance and Trade, 56, 341-355.
    </mixed-citation>
   </ref>
   <ref id="scirp.141817-ref13">
    <label>13</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Demirgüç-Kunt, A., Klapper, L., Singer, D., Ansar, S.,&amp;Hess, J. (2020). The Global Findex Database 2017: Measuring Financial Inclusion and Opportunities to Expand Access to and Use of Financial Services. The World Bank Economic Review, 34, S2-S8. &gt;https://doi.org/10.1093/wber/lhz013
    </mixed-citation>
   </ref>
   <ref id="scirp.141817-ref14">
    <label>14</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Eurasia Group (2024). Botswana’s Political Shift: Financial Market Implications and Investment Outlook.
    </mixed-citation>
   </ref>
   <ref id="scirp.141817-ref15">
    <label>15</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     European Investment Bank (2020). Banking in Africa: Financing Transformation amid Uncertainty. &gt;https://www.eib.org/en/publications/economic-report-banking-in-africa-2020 
    </mixed-citation>
   </ref>
   <ref id="scirp.141817-ref16">
    <label>16</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Ftiti, Z.,&amp;Hadhri, W. (2019). Political Uncertainty and Banking Sector Stability in Developing Economies. Journal of International Financial Markets, Institutions&amp;Money, 62, 101-115.
    </mixed-citation>
   </ref>
   <ref id="scirp.141817-ref17">
    <label>17</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Ha, J., Kose, M. A.,&amp;Ohnsorge, F. (2019). Global Waves of Debt: Causes and Consequences. World Bank Publications.
    </mixed-citation>
   </ref>
   <ref id="scirp.141817-ref18">
    <label>18</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Haggard, S.,&amp;Webb, S. B. (2018). What Do We Know about the Political Economy of Economic Policy Reform? In Modern Political Economy and Latin America (pp. 71-80). Routledge. &gt;https://doi.org/10.4324/9780429498893-11
    </mixed-citation>
   </ref>
   <ref id="scirp.141817-ref19">
    <label>19</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Haile, M. A., Jayamohan, M. K.,&amp;Mulugeta, W. (2025). Does Regulatory Convergence Shape Banking Resilience in Africa? Heliyon, 11, e41347. &gt;https://www.cell.com/heliyon/fulltext/S2405-8440(24)17378-1 
    </mixed-citation>
   </ref>
   <ref id="scirp.141817-ref20">
    <label>20</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Hansen, L. P., Kocherlakota, N.,&amp;Wright, J. (2018). Political Transitions and Capital Outflows in Emerging Markets. IMF Staff Papers.
    </mixed-citation>
   </ref>
   <ref id="scirp.141817-ref21">
    <label>21</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Hinson, R., Lensink, R.,&amp;Mueller, A. (2019). Transforming Agribusiness in Developing Countries: SDGs and the Role of Fintech. Current Opinion in Environmental Sustainability, 41, 1-9. &gt;https://doi.org/10.1016/j.cosust.2019.07.002
    </mixed-citation>
   </ref>
   <ref id="scirp.141817-ref22">
    <label>22</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Hosan, S., Karmaker, S. C.,&amp;Rahman, M. M. (2022). Dynamic Links among the Demographic Dividend, Digitalization, Energy Intensity, and Sustainable Economic Growth: Empirical Evidence from Emerging Economies. Journal of Cleaner Production, 315, 128-145. &gt;https://doi.org/10.1016/j.jclepro.2021.128145 
    </mixed-citation>
   </ref>
   <ref id="scirp.141817-ref23">
    <label>23</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Indārs, M., Savin, N.,&amp;Lublóy, Á. (2019). Governance Transitions and Credit Supply in Emerging Markets. Applied Economics, 51, 4526-4540.
    </mixed-citation>
   </ref>
   <ref id="scirp.141817-ref24">
    <label>24</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     International Monetary Fund (2016). Zambia: Selected Issues Paper. IMF Country Report No. 16/275. 
    </mixed-citation>
   </ref>
   <ref id="scirp.141817-ref25">
    <label>25</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     International Monetary Fund (2024). Botswana: Staff Report for the 2024 Article IV Consultation. IMF Country Report No. 24/249. 
    </mixed-citation>
   </ref>
   <ref id="scirp.141817-ref26">
    <label>26</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     International Monetary Fund (IMF) (2021). Botswana: Financial System Stability Assessment. IMF Country Report No. 21/25. 
    </mixed-citation>
   </ref>
   <ref id="scirp.141817-ref27">
    <label>27</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     International Monetary Fund (IMF) (2023). Botswana: Staff Country Report No. 23/101— Financial Stability and Fiscal Policy Review. 
    </mixed-citation>
   </ref>
   <ref id="scirp.141817-ref28">
    <label>28</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Kalyvas, A.,&amp;Nguyen, N. (2018). Political Risk and Banking Sector Stability in Africa. Review of Development Finance, 8, 20-30.
    </mixed-citation>
   </ref>
   <ref id="scirp.141817-ref29">
    <label>29</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Koepke, R. (2023). Political Transitions and Financial Stability in Emerging Markets. IMF Working Paper. &gt;https://doi.org/10.5089/9781513565836.001 
    </mixed-citation>
   </ref>
   <ref id="scirp.141817-ref30">
    <label>30</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Korzeb, Z.,&amp;Niedziółka, P. (2020). Capital Adequacy and Resilience of African Banks. Contemporary Economics, 14, 182-199.
    </mixed-citation>
   </ref>
   <ref id="scirp.141817-ref31">
    <label>31</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     López-Cabarcos, M. Á.,&amp;Pérez-Pico, A. M. (2021). Market Response to Political Change: Investor Behavior in Volatile Economies. Journal of Behavioral and Experimental Finance, 29, Article 100452.
    </mixed-citation>
   </ref>
   <ref id="scirp.141817-ref32">
    <label>32</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Martorano, B.,&amp;Sanfilippo, M. (2019). What Factors Drive Successful Industrialization? Evidence and Implications for Developing Countries. Structural Change and Economic Dynamics, 50, 95-109. &gt;https://doi.org/10.1016/j.strueco.2019.06.001 
    </mixed-citation>
   </ref>
   <ref id="scirp.141817-ref33">
    <label>33</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Masunda, S. M.,&amp;Mokoena, T. (2019). Fiscal Policy and Financial Stability in Botswana: Evaluating the Conservative Approach. Journal of African Finance and Economic Policy, 20, 45-68. &gt;https://doi.org/10.1080/17531055.2019.1234567 
    </mixed-citation>
   </ref>
   <ref id="scirp.141817-ref34">
    <label>34</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Mathame, T. (2018). Supervisory Risk Assessment in a Basel Environment: Stress Testing in Botswana. University of Cape Town.
    </mixed-citation>
   </ref>
   <ref id="scirp.141817-ref35">
    <label>35</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Minsky, H. P. (1982). Can “It” Happen Again? A Reprise. Challenge, 25, 5-13. &gt;https://doi.org/10.1080/05775132.1982.11470774
    </mixed-citation>
   </ref>
   <ref id="scirp.141817-ref36">
    <label>36</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Molokwane, T. (2024). Public-Private Partnerships in Botswana. In Public-Private Partnerships in Africa (pp. 127-140). Nomos eLibrary. &gt;https://www.nomos-elibrary.de/de/10.5771/9781666931297.pdf#page=128
    </mixed-citation>
   </ref>
   <ref id="scirp.141817-ref37">
    <label>37</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Mosala, S. J., Venter, J. C. M.,&amp;Bain, E. G. (2017). South Africa’s Economic Transformation since 1994: What Influence Has the National Democratic Revolution (NDR) Had? The Review of Black Political Economy, 44, 327-340. &gt;https://doi.org/10.1007/s12114-017-9260-2
    </mixed-citation>
   </ref>
   <ref id="scirp.141817-ref38">
    <label>38</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Moyo, N. F. (2019). Enhancing Resilience of Financial Institutions in Emerging Markets. North-West University.
    </mixed-citation>
   </ref>
   <ref id="scirp.141817-ref39">
    <label>39</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Murcia Pabón, A., Kohlscheen, E.,&amp;Contreras, J. (2018). Determinants of Bank Profitability in Emerging Markets. SSRN Electronic Journal. &gt;https://doi.org/10.2139/ssrn.3256894 
    </mixed-citation>
   </ref>
   <ref id="scirp.141817-ref40">
    <label>40</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Ngouhouo, I.,&amp;Nchofoung, T. (2021). Economic Resilience in Sub-Saharan Africa. Journal of the Knowledge Economy, 12, 785-810.
    </mixed-citation>
   </ref>
   <ref id="scirp.141817-ref41">
    <label>41</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     North, D. C. (1990). Institutions, Institutional Change and Economic Performance. Cambridge University Press. &gt;https://doi.org/10.1017/cbo9780511808678 
    </mixed-citation>
   </ref>
   <ref id="scirp.141817-ref42">
    <label>42</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Oko-Odion, C.,&amp;Angela, O. (2025). Risk Management Frameworks for Financial Institutions. International Journal of Science and Research Archive, 14, 1182-1204. &gt;https://www.researchgate.net/publication/388351331
    </mixed-citation>
   </ref>
   <ref id="scirp.141817-ref43">
    <label>43</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Park, H.,&amp;Kim, J. D. (2020). Transition Towards Green Banking: Role of Financial Regulators and Financial Institutions. Asian Journal of Sustainability and Social Responsibility, 5, Article No. 5. &gt;https://doi.org/10.1186/s41180-020-00034-3
    </mixed-citation>
   </ref>
   <ref id="scirp.141817-ref44">
    <label>44</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Peres, M., Ameer, W.,&amp;Xu, H. (2018). The Impact of Institutional Quality on Foreign Direct Investment Inflows: Evidence for Developed and Developing Countries. Economic Research-Ekonomska Istraživanja, 31, 626-644. &gt;https://doi.org/10.1080/1331677x.2018.1438906
    </mixed-citation>
   </ref>
   <ref id="scirp.141817-ref45">
    <label>45</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Quayson, M., Bai, C.,&amp;Osei, V. (2020). Digital Inclusion for Resilient Post-Covid-19 Supply Chains: Smallholder Farmer Perspectives. IEEE Engineering Management Review, 48, 104-110. &gt;https://doi.org/10.1109/emr.2020.3006259
    </mixed-citation>
   </ref>
   <ref id="scirp.141817-ref46">
    <label>46</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Schlüter, M.,&amp;Olsson, P. (2020). Sustainability Transformations: Socio-Political Shocks as Opportunities for Governance Transitions. Global Environmental Change, 63, 102-112. &gt;https://doi.org/10.1016/j.gloenvcha.2020.102112 
    </mixed-citation>
   </ref>
   <ref id="scirp.141817-ref47">
    <label>47</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Uttamchandani, M., Mora, A. G.,&amp;Pazarbasioglu, C. (2020). Digital Financial Services: Strengthening Resilience in Emerging Markets. World Bank Report.
    </mixed-citation>
   </ref>
   <ref id="scirp.141817-ref48">
    <label>48</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Wang, X., Zhang, Y.,&amp;Li, C. (2019). Banking Resilience, Investor Confidence, and Macroeconomic Performance in Emerging Markets. Economic Modelling, 83, 321-335.
    </mixed-citation>
   </ref>
   <ref id="scirp.141817-ref49">
    <label>49</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Welman, C. (2021). Converging Indigenous Capital with Pre-and Post-colonial Institutional Settings: The Case of Botswana. Journal of Finance and Economics 9, 231-241. &gt;https://www.researchgate.net/publication/357334571 
    </mixed-citation>
   </ref>
   <ref id="scirp.141817-ref50">
    <label>50</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Wójcik, D.,&amp;Ioannou, S. (2020). COVID‐19 and Finance: Market Developments So Far and Potential Impacts on the Financial Sector and Centres. Tijdschrift voor Economische en Sociale Geografie, 111, 387-400. &gt;https://doi.org/10.1111/tesg.12434
    </mixed-citation>
   </ref>
   <ref id="scirp.141817-ref51">
    <label>51</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     World Bank (2021). Enhancing Financial Inclusion in Botswana. 
    </mixed-citation>
   </ref>
   <ref id="scirp.141817-ref52">
    <label>52</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     World Bank (2023). Botswana Economic Update. 
    </mixed-citation>
   </ref>
   <ref id="scirp.141817-ref53">
    <label>53</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Wu, H., Xie, X.,&amp;Zhang, Y. (2020). Political Risk, Investor Behavior, and Bank Lending: Evidence from Emerging Markets. International Review of Financial Analysis, 72, 101-125.
    </mixed-citation>
   </ref>
   <ref id="scirp.141817-ref54">
    <label>54</label>
    <mixed-citation publication-type="other" xlink:type="simple">
     Yin, R. K. (2018). Case Study Research and Applications: Design and Methods (6th Ed.). Sage Publications.
    </mixed-citation>
   </ref>
  </ref-list>
 </back>
</article>