Entrepreneurship has become very popular in the recent times and people are pursuing opportunities for new venture creation in different sectors. The phenomenon of “female entrepreneurship” is gaining wide popularity worldwide and now the interest of women in carrying out entrepreneurial activities is also increasing owing to the female empowerment in societies. The female entre preneurs are highly affected by social, personality and institutional factors that motivate and encourage them in their entrepreneurial activities. The purpose of this study is to find out the impact of social support, financial support, entrepreneurial knowledge and achievement orientation on female entrepreneurial intention along with the mediating impact of entrepreneurial self-efficacy. For this purpose , the data was collected from 311 respondents from China and 311 from Pakistan through the administration of questionnaire . SPSS and AMOS were used for analysis and structural equation modelling has been used. The results have suggested that in case of China, all independent variables have significant impact s on female entrepreneurial intention but in case of Pakistan, financial support does not have the significant impact on female entrepreneurial intention. On the other hand, in case of China, the mediating role of entrepreneurial self-efficacy is significant in all cases , but in case of Pakistan, this mediating role is not significant in case of entrepreneurial knowledge.
Women have exhibited lower levels of attention towards the entrepreneurial setups, as compared to men, especially in the developing countries as this field is recognized more as a “male domain” (Malmström, Johansson, & Wincent, 2017; Mehtap, Pellegrini, Caputo, & Welsh, 2017b). However, the phenomenon of “female entrepreneurship” is gaining wide popularity worldwide and now the interest of women in carrying out entrepreneurial activities is also increasing owing to the female empowerment in societies (Paoloni & Serafini, 2018; Pergelova, Manolova, Simeonova-Ganeva, & Yordanova, 2019). In order to benefit from the women liberalization and empowerment, the talents of the females in their business venture must be created and polished (Wilson, Kickul, Marlino, Barbosa, & Griffiths, 2009). Pakistan, being a developing country, has few numbers of jobs that can be offered to the fresh and unemployed young males and females of the country. Hence, engaging in entrepreneurial activities is the most viable solution (Iftikhar, 2016). According to a survey of the World Bank, Pakistan has a low ranking among the countries in which women are working as entrepreneurs (Mahmood, 2011). The latest figures show that the country has only 1% of female entrepreneurs, compared to the 21% of the male entrepreneurs. The survey also revealed that just 12% of firms in Pakistan have female owners and this ratio is 34% globally. Pakistan has high fertility rate and the working population of the country is projected to grow at 2.1% per year for the next ten years and the female labor force participation is 57% less than that of the males. Even the job structure of Pakistan has proved to be static and though the youth is educated, still the employment outcomes are worse. This is characterized by high unemployment rate and youth bulge working in informal or unpaid jobs. According to Pakistan Update Development Report, the most viable solution for these issues is entrepreneurship by enhancing the productive and vibrant SME sector of the country so that more and better opportunities can be created for the women and the youth.
The state of female entrepreneurship in China is very prospective as the country has the highest number of successful female entrepreneurs in the world and China has also displayed an ideal model for the gender equality in the context of female entrepreneurship. The female entrepreneurs in China have built successful businesses there and the number of the female entrepreneurs has increased to 25% of the total entrepreneurs. Even the richest woman of the world is also a Chinese woman named Zhou Qunfei. However, women have also faced certain barriers there regarding the credit gap and the lack of formal financing required for the business. The government of China has improved the process of formal financing for females by strengthening the financial infrastructure. So, the female entrepreneurs face two major issues in China. The first obstacle is of tangible nature which implies the lack of financial and support network and secondly, the societal and the cultural obstacles which have been in the favor of men holding them fir for business and economic activities. Hence, it can be seen that in both the developing and developed countries, such as Pakistan and China, the female entrepreneurs face a similar kind of issues that can be dealt with to improve their entrepreneurial skills and behavior. Likewise, the Chinese government has been attempting to develop social networks, providing capital for the ventures and giving training to the women for building their entrepreneurial intentions.
On the basis of this discussion, the researcher has identified several factors that are major driver of the female intention for entrepreneurship. Among these determinants, the social and financial support build up the female entrepreneurial intention as the social support from people in the family, friends or colleagues can enable women share their work problems who can offer good advice or motivate them to meet the challenges bravely (Ahmad, 2011) and also improve their self-confidence. The absence of social support can discourage women and reduce their intention to undergo entrepreneurial activities (Minkus-McKenna, 2009; Noguera, Alvarez, & Urbano, 2013). When the females are not equipped with accurate knowledge, then they can miss many business opportunities and not know how to handle them properly to avoid loss in business. Females with more knowledge of business and entrepreneurship are more confident (Roy & Das, 2019) and will be able to start and manage their business in a profitable way (Hechavarria, Bullough, Brush, & Edelman, 2019). Achievement Orientation is a personality trait that encourages the business women to work diligently in difficult and complex business situations and they will be able to fulfill their goals and targets while making un-due efforts, once they have determined their career choice. They can address to the competitive needs of the business while maintaining and gaining profits, improving the overall performance of business (Fairlie & Holleran, 2012).
Hence, using the theories of “Guided behavior” and “Guided Preparation”, proposed by (Ajzen, 2002), this study aims to provide an insight into the female entrepreneurial behavior and shall evaluate the factors of social support, financial support, entrepreneurial knowledge and achievement orientation as determinants of female entrepreneurial intention and analyze the role of entrepreneurial self-efficacy in these relationships and provide a comparative analysis of the female entrepreneurship in the context of China and Pakistan. This study ascertains that by ensuring the availability of social and financial support, provision of adequate knowledge of entrepreneurial techniques and building a sense of achievement in women can actually help them develop a self-confidence and self-efficacy from the perspective of entrepreneurship and with this their intention to join the business field as entrepreneurs will be fostered.
Depend on the observation that all types of entrepreneurs experience breaks in their knowledge and data mainly about the requirements for initiating a new profession or business, according to (Mao et al., 2018), the given theory of guided preparation gives a basis for effective as well as successful entrepreneurship practices. The current theory is found on the conception that the use of explicit as well as tacit data initiating mainly from contextual learning practices and also managed by effective and significant outside activities and factors can mainly offer the basis for victorious entrepreneurs (Corum, Corum, Pinzone Jr., Lilly, & Wilson, 2018).
According to this theory, the knowledge support to entrepreneurs provides a significant source of successful entrepreneurs along with competitive advantage (Foran, 2016). The explicit knowledge support can mainly be saved and moved from one individual to another, which means it is effectively available to certain entrepreneurs, which directly affects the intentions of entrepreneurs. Additionally, this theory also states that an experienced individual could support entrepreneurs’ attempts in the right path mainly by giving significant social as well as knowledge support and instructions to establish a new profession and business, to develop the entrepreneurial attempt more significant and favorable.
Nevertheless, the part of financial and achievement orientation has not been elaborately provided by the current theory. The female entrepreneur’s practices have been limited to some uncertainty bearing and modern entrepreneur’s professions and practices are different. Therefore, it is essential to develop an environment (especially in under-developed countries at different levels) to enable females to grow to become successful entrepreneurs with significant achievements.
Social support (SS) is generally identified as a basic component of favorable relationships and effective entrepreneurial intentions (Molino, Dolce, Cortese, & Ghislieri, 2018). Necessarily, SS mainly involves having a mechanism of family and social peoples that an individual or female can turn to in times of requirement. Whether an individual facing personal challenges and require quick assistance or an individual wants to spend some time for a support on particular issue, according to Neneh (2020), these relationships and connections play a positive role in affecting the overall intentions of a person. It is SS that builds female up mainly during the times of stress about choosing the field of entrepreneurship and generally provides them the strength to make intentions and even thrive (Sahban, Ramalu, & Syahputra, 2016). Empirical studies have also manifested the nexus between SS and entrepreneurial intentions and many different aspects of entrepreneurship in a different way (Khalid, Bashir, & Saqib, 2018). Furthermore, social integration (SI) is an important aspect of SS which play a critical role in effecting FEI, because SI is the real participation in different social connections and this type of integration mainly involves emotions and sense of belonging to various social groups that directly affect entrepreneurial intentions (Farooq, 2018). The above relationship between SS and FEI is also supported by the theory of guided preparation, this is because the theory state that entrepreneurs need effective and strong SS for the successfulness in the field of entrepreneurship and running a business. Therefore, depending on the above discussion the study proposes the following hypothesis:
H1: There is a positive relationship between social support and female entrepreneurial intention.
An empirical study by Mehtap, Pellegrini et al. (2017b), suggests that if females were provided the help they require to initiate a business, then they would implement innovation practices to develop essential modifications to the overall economy of the country. In general, though, males, as well as females, do not get equal chances in the field of entrepreneurship, and according to Lin, Lu, Hsieh, and Liu (2018), the issues regarding entrepreneurship are the same for both genders, but they are more important for women’s, especially in Asian nations, where typically females entrepreneurs experience un-fairness and favoritism in the overall mechanism of initiating a new business (Sieger & Minola, 2017). A greater proportion of the Asian female entrepreneurs depend majorly on financial support from their own economizing, family, and friends FS and a small number of loans from commercial banks. Financial support plays a huge role in starring a new business because according to Mehtap, Caputo, and Pellegrini (2017a), female entrepreneurs with a new business idea would mainly want to accumulate the entire essential resources majorly including capital and money to venture into the business as well as the market. FS is the part of the process, as certain businesses would need large start-up collections than single females would not have and these start-ups FS are necessary to kick-start a business concept because, without it, female entrepreneurs would not have the skills to carry out their ideas in the market and business world. Hence, giving access to FS will enhance many females’ intentions to start up a new business concept. The above association between FS and EFI is also upheld by the theory of guided preparedness because of the theory manifest that the amount of FS and resources committed to a concept directly affect the development of new business and its related services. So, based on the above arguments the present research proposed the following hypothesis:
H2: There is a favorable relationship between financial support and female entrepreneurial intentions.
Entrepreneurial knowledge (EK) and female education across the Asian nations have not acknowledged the superiority it needs; therefore, most females do not have the required knowledge and abilities to start and run business (Ratten, 2016). Improper training and education have generated lots of issues for female entrepreneurs and when it comes to starting a new business, it evaluates the challenges certain female entrepreneurs experience in various economic aspects. Such as, mainly at the micro aspect, some opportunity issues are majorly due to lack of EK and education and short business experience (Meyer & Hamilton, 2020). As a combined resource, EK designs and affects all the practices around the new business which certainly impacts the entrepreneurial intentions of females. According to Wu, Li, and Zhang (2019), EK can exist in different shapes such as tacit EK, explicit EK, and embedded EK. Tacit EK is a type of knowledge of personal know-how or ability rooted in practice and experience and this type of knowledge directly affects the intentions of females as entrepreneurs (Hutasuhut, 2018). EK has huge importance since it is inherently unique to a business because this type of knowledge directly shapes and derives the entrepreneurial intentions which further affect business activities and processes. Moreover, necessary entrepreneurial skills and information like financial management, communication and negotiation, and marketing sales and customer service (CS) also play a direct role in affecting the entrepreneurial intentions. The linkage between EK and EFI is also supported by the theory of guided preparation; as theory demonstrates that business knowledge plays an essential role in establishing successful business activities. Thus, depending on the above discussion the present research effort suggests the following hypothesis:
H3: Entrepreneurial knowledge positively relates to female entrepreneurial intention.
According to Basardien, Friedrich, and Twum-Darko (2016) achievement orientation (AO) refers to how a person interprets and reacts to certain tasks and challenges, resulting in different designs of cognition, behavior, and affect. Designed within a social cognitive model, achievement objective theory suggests that an individual’s motivation and business achievement-related behaviors can mainly be determined by considering the reasons and objectives they adopt while engaged in business and entrepreneurial activities (Obschonka, Fisch, & Boyd, 2017a). According to Saebi, Foss, and Linder (2019), the major focus is on how entrepreneurs think about their business, their responsibilities, and their business performance. AOs have been shown by different empirical studies such as Muralidharan and Pathak (2017) that demonstrate that AO is mainly related to the entrepreneur’s business achievement and adjustment which impacts the intentions of entrepreneurs. Besides, motivation is a powerful instrument of AO which encourage entrepreneurs on daily basis by remembering business values and objectives and according to Uchenna, Sanjo, and Joseph (2019) motivation belongs to the self-management parts of EI, is the hidden factor that will encourage in achieving business goals and derive an entrepreneur to the final destination. The above theory of guided preparedness also supports the interplay between AO and FEI, the theory state that achievement motivation is the inner urge of an entrepreneur to attain something significant and unique to achieve a feeling of self-accomplishment and business satisfaction. These factors complicate as well as impede the overall intentions to start a business. Therefore, all the above discussion leads to the establishment of the given hypothesis:
H4: There is a favorable relationship between achievement orientation and female entrepreneur intention.
It has been stated by Neneh (2020) that entrepreneurial intentions were completely interceded by entrepreneurial self-efficacy. Opposite to desires, gender was not interceded by self-efficacy but had a coordinate impact such that females detailed lower entrepreneurial career eagerly. Khalid et al. (2018) elaborate that the probability of female entrepreneurial intention is adversely related to the need for social support. Bandura’s social learning hypothesis highlights the impacts of role model on individual-level inclination to act on any specific task, and when the task is entrepreneurship, the influences of role model is epitomized. Female’s social duty has been considered as that of a wife and a mother. Ahmed and Kayat (2019) describe that the female faces social dismissal in other zones of improvement, and this end has generally contributed to her being sidelined as a donor in national improvement. It has been proved by the theory of guided preparation the female entrepreneur’s practices have been restricted to a few instabilities bearing, and present-day entrepreneur’s callings and practices are distinctive due to no social and cultural support (Mwiya, Wang, Kaulungombe, & Kayekesi, 2018).
Though it is difficult for females to work as an entrepreneur, it is fundamental to create an environment to empower females to develop to gotten to be effective entrepreneurs with noteworthy accomplishments. So, all the above discussion leads to the development of the following hypothesis:
H5: Entrepreneurial self-efficacy positively mediates the relationship between social support and FEI.
Nowiński, Haddoud, Lančarič, Egerová, and Czeglédi (2019) state that females are less slanted toward entrepreneurship when compared to their male partners. This truth is related to a complex mix of causes such as the conviction that enterprise maybe a male space, certain conditions inside the financial and social environment to succeeding in such exercises. Khalid et al. (2018) describe that raising capital is indeed more troublesome for women-owned businesses because mostly they don’t get financial support from their family, and the investors don’t cooperate with female entrepreneurs. So, due to the need for assets, female entrepreneurs turn to the banking framework to have the necessary resources to run their commerce. A pertinent stream of the literature contends that female entrepreneurs meet a few more monetary obstructions than male partners when looking for bank economics. The organizations managed by females are less likely to get a bank loan, and, however, when they succeed in borrowing, they are charged higher interest rates (Kumar & Shukla, 2019). Liu, Lin, Zhao, and Zhao (2019) have found that less than 3% of companies with wander capital funding had female CEOs. It has been proved by the theory of guided preparation that financial activities have a positive impact on the success of an entrepreneur, and the practices of female entrepreneurs have been limited in the business. Consequently, the entire above discussion leads to the establishment of the following hypothesis:
H6: Entrepreneurial self-efficacy significantly mediates the linkage between financial support and FEI.
An empirical study by Nowiński et al. (2019) manifests that, ESE is the intention of the confidence of the female entrepreneurs in them in their abilities and entrepreneurial skills before they launch out a business idea and innovation. According to Shahab, Chengang, Arbizu, and Haider (2019), ESE mainly initiates from the larger concept of self-efficacy (SE) embedded in the theory of social cognitive, which mainly used to reveals the importance of social factors, replication as well as observation of beliefs in social factors for the generation of SE thoughts. Moreover, self-efficacy, related to set up such as ESE, mainly has theoretical basics in the agency related to which entrepreneurs are indicated to interrelate collectively with external as well as internal conditions (Tsai, Chang, & Peng, 2016). Hence, SE and its imitative indicated a process of behavior, agency, mental conditions, and deriving motivation which directly affects the intentions about entrepreneurship and starting a new business (Schmutzler, Andonova, & Diaz-Serrano, 2019). The mediating impact of ESE on the nexus between EK and FEI is also upheld by the theory of guided preparedness, the theory describes that strong SE helps entrepreneurs to recover quickly from setbacks in starting a new business. Thus, based on the above discussion the current study suggests the following hypothesis:
H7: Entrepreneurial self-efficacy positively mediates the relationship between entrepreneurial knowledge and FEI.
Self-efficacy is the ability to measure the qualities and skills and abilities to perform a specific task (Stroe, Parida, & Wincent, 2018). Self-efficacy is a key factor in the way of making progress and development and this helps in maintaining and leveling a business, management, and also to find innovations in the field of business and trade. The female is half of the total population of the world and this half of the total number of the population must be appreciated, encouraged and their abilities must be given high value and place to keep them very useful and influencing members in the field of business. Their self-efficacy will boost up and this plays a very positive role in the lives of females that they have played their role in the development of their family, country, and also to the world (Shi, Yao, & Wu, 2019). Females must be encouraged not only in developed but in developing countries as well. A sustainable economy is possible through the means of equal performance from both gender forms. Therefore, based on the above arguments the given study recommends the following hypothesis:
H8: Entrepreneurial self-efficacy positively mediates the relationship between achievement orientation and FEI.
This research is based on the assumptions of the theories of “Guided behavior” and “Guided Preparation” to provide an insight into the female entrepreneurial behavior. According to this theory, support in the form of knowledge can be incorporated into the learning in such a way that can have a direct effect on the agent (Ajzen, 2002; Chrisman & McMullan, 2004). Applying this theory to the thesis, it can be said that support and the knowledge factors can enable the female entrepreneurs to succeed in their entrepreneurial endeavor. The theory of “guided behavior” indicates that the behavior of an individual is guided by his/her perceptions about a certain situation (Hunjra, Ahmad, & Niazi, 2011). In the light of these two theories, it can be stated that the intentions and behavior of female entrepreneurs can be determined according to their perceptions of the support they are getting and they can be guided by the knowledge they have relating to entrepreneurship and this can be used to build their self-efficacy and intentions.
Scholars have illustrated the social and financial support to be major determinants of FEI. Interaction with people around is necessary when conducting any business. Social support from people in the family, friends or colleagues can enable women share their work problems who can offer good advice or motivate them to meet the challenges bravely (Ahmad, 2011). Lack of social support can discourage women and reduce their intention to undergo entrepreneurial activities (Minkus-McKenna, 2009; Noguera et al., 2013). Studies have proved that SS can positively predict the FEI (Al-Kwifi, Tien Khoa, Ongsakul, & Ahmed, 2020; Sahban et al., 2016; Shiri, Mohammadi, & Hosseini, 2012). (Brush & Cooper, 2012; Welter & Kolb, 2006) have put forward that if the females are provided with support in the form of finances, then they can easily open a business and can bring positive changes to the economy. Due to gender gaps and discrimination in many developing countries, females find it difficult to get loan from the banks, which restricts their activities to enter into or run a new business setup. (Al-Kwifi et al., 2020; Başçı & Alkan, 2015; Samuel, Ernest, & Awuah, 2013) have proved that FS can positively foster the FEI.
More determinants of FEI are EK and AO. EK is major determinant of building intention of female entrepreneurs (Lo, Sun, & Law, 2012). When the females are not equipped with accurate EK, then they can miss many business opportunities and not know how to handle them properly to avoid loss in business. Females with more knowledge of business and entrepreneurship will be able to start and manage their business in a profitable way (Hechavarria et al., 2019). Study by (Roxas, Cayoca-Panizales, & de Jesus, 2008) has proved that a positive relation exist between EK and FEI. The last determinant of FEI for this study is the AO, which is one of the personality traits that encourage the business women to work diligently in difficult and complex business situations and can address to the competitive needs of the business while maintaining and gaining profits. This can also improve the overall performance of business (Fairlie & Holleran, 2012). Study has empirically proved that AO is positively linked to FEI (Roy & Das, 2019).
Research Framework.
The phenomenon of entrepreneurship and entrepreneur self-efficacy has been considerably gaining attention from the academic scholars since the past decade (Chan, Uy, Chernyshenko, Ho, & Sam, 2015; Obschonka, Hakkarainen, Lonka, & Salmela-Aro, 2017b). However, it is seen that even now a gender gap exist in the entrepreneurship as the number of women working as successful entrepreneurs, though, on the rise is still less as compared to men in this field (Al-Kwifi et al., 2020; Henry, Foss, & Ahl, 2016; Roy & Das, 2019) recommended that in order to address this gender gap, the contextual factors affecting the intention of females to start working as entrepreneurs need to be identified in detail. Since the studies on female entrepreneurship behavior are limited and sparse, hence research needs to be conducted on the females of the developing countries (Dvouletý, Gordievskaya, & Procházka, 2018; Hussain & Malik, 2018) testing the impact of social factors (Giménez & Calabrò, 2018), entrepreneur self-efficacy (Mustafa, Hernandez, Mahon, & Chee, 2016; Wang, Chang, Yao, & Liang, 2016), support and knowledge relating to entrepreneurship (Saeed, Yousafzai, Yani-De-Soriano, & Muffatto, 2015)on the entrepreneurship intention. (Newman, Obschonka, Schwarz, Cohen, & Nielsen, 2019) conducted an extant study to synthesize the empirically identified antecedents and consequences of self-efficacy of entrepreneurs and suggested further investigation into these variables by carrying outcross-country analysis.
In the current study the researcher has collected quantitative data through survey questionnaire that contains various close ended questions. The close ended questions have been added because it will provide completely numerical or quantitative data that can be easily analyzed statistically. The questionnaire was self-administered so that the researcher might be able to clarify things for the respondents in case they face any ambiguity. The questionnaire was distributed among 325 respondents from China and same for Pakistan. After the collection of responses, 311 responses from China and 311 responses from Pakistan were considered as accepted for the analysis purpose and the remaining were discarded because either they were incomplete or the responses were not reliable.
All the measurement items have been taken from the past studies that are reliable enough to be used in the study. These items have high values of reliability and all these scales have been established in previous studies. All of the items were measured on a 5-point Likert scale that record the responses on a continuum ranging from 1 to 5 with “1 = strongly disagree to 5 = strongly agree”. A 4 item scale adopted from Pruett, Shinnar, Toney, Llopis, and Fox (2009) and used by Al-Kwifi et al. (2020) was employed to measure the impact of social support. This scale had high reliability with value of 0.857. A sample item is “My culture is not supportive of me and my business undertakings”. The scale for measuring the effect of financial support was adopted from Pruett et al. (2009) and used by Al-Kwifi et al. (2020). This scale has highly reliability of 0.832 and comprises of total 4 items. One of the four items of this variable is “No discrimination procedures within banks to support female-run small businesses”. For measuring entrepreneurial knowledge, scale was adopted from Dohse and Walter (2012) and Liñán, Rodríguez-Cohard, and Rueda-Cantuche (2011) and was used in recent study by Roy and Das (2019) was used. The scale had a total of 5 items and was higly reliable with a value of Cronbach’s α of 0.74. A sample item is “My only professional goal is to become an entrepreneur”. Achievemnet orientation was measured with the 3-items scale of Lee and Tsang (2001) and used by Roy and Das (2019) in their recent study on entrepreneurship was employed. This scale is reliable with Cronbach’s α is 0.73. One of the three items of this variable is “I will not be satisfied unless I have reached the desired level of results”. The entrepreneurial self-efficacy was measured by adopting the 6-items scale of Marlino and Wilson (2003) and had been used in the studies of Wilson et al. (2009) with a high reliability of 0.830. One of the six items of this variable is “Being able to solve problems”. For measuring the responses to female entrepreneurial intention, the scale developed by Liñán and Chen (2009) and used recently by Roy and Das (2019) was employed. This scale has five items and has value of Cronbach’s α more than 0.70 and hence, it is a reliable scale. One of the five items of this variable is “My only professional goal is to become an entrepreneur”.
The data, for the purpose of research, were collected using the “survey method’ through “questionnaires”, structured on the already established scales for the measures from previous research studies.
The following measurement scales were used in the study for the respective variables. All these scales have been established in previous studies and possess high values of reliability. These scales measure the responses of the sample participants on a 5-point Likert scale that record the responses on a continuum raging from 1 to 5 with “1 = strongly disagree to 5 = strongly agree”.
A 4 item scale adopted from (Pruett et al., 2009) and used by (Al-Kwifi et al., 2020) was employed to measure the impact of SS. This scale had high reliability with value of 0.857.
The scale for measuring the effect of FS was adopted from (Pruett et al., 2009) and used by (Al-Kwifi et al., 2020). This scale has highly reliability of 0.832 and comprises of total 4 items.
For measuring EI, scale was adopted from (Dohse & Walter, 2012) and (Liñán et al., 2011) and was used in recent study by (Roy & Das, 2019) was used. The scale had a total of 5 items and was higly reliable with a value of Cronbach’s α of 0.74.
AO was measured with the 3-items scale of (Lee & Tsang, 2001) and used by (Roy & Das, 2019) in their recent study on entrepreneurship was employed. This scale is reliable with Cronbach’s α is 0.73.
The responses for the variable ESE were measured by adopting the 6-items scale of (Marlino & Wilson, 2003) and had been used in the studies of (Wilson et al., 2009) with a high reliability of 0.830.
For measuring the responses to FEI, the scale developed by (Liñán & Chen, 2009) and used recently by (Roy & Das, 2019) was employed. This scale has five items and has value of Cronbach’s α more than 0.70 and hence, it is a reliable scale.
The collected data was scrutinised for outliers or any missing values. They were treated so that the analysis data is free from any errors or missing numbers. Modern statistical techniques like the latest version SPSS and AMOS was used for analysis. The first step of the analysis was to run the descriptive of the data and the sample demographics. The reliability and validity were assessed with KMO to see if the sample is adequate for running principal component factor analysis. The reliability and validity were confirmed through Cronbach’s α, Convergent and Discriminate measures. SEM was done to examine the latent variables’ causal relationships and establish model fitness using AMOS.
Out of 311 females of the sample, 45.3% were past their bachelors, 36.7% had done masters and 18% had some other degree. The age of 30.9% individuals of sample was less than 25, 41.8% of sample was between 25 to 35 years of age, 22.5% of sample was 35 to 45 years of age and 4.8% of the sample was more than 45 years of age. Experience of 14.8% of sample was less than 6 months, of 44.1% was between 7 to 12 months, of 31.5% was between 1 to 2 years and of 9.6% was more than 2 years. The demographical profile of Pakistan showed that, out of 311 females of the sample, 43.7% were past their bachelors, 36.0% had done masters and 20.3% had some other degree. The age of 34.1% individuals of sample was less than 25, 38.9% of sample was between 25 to 35 years of age, 22.2% of sample was 35 to 45 years of age and 4.8% of the sample was more than 45 years of age. Experience of 23.8% of sample was less than 6 months, of 39.2% was between 7 to 12 months, of 28.6% was between 1 to 2 years and of 8.4% was more than 2 years.
From
Descriptive Statistics of China | |||||||
---|---|---|---|---|---|---|---|
N | Minimum | Maximum | Mean | Std. Deviation | Skewness | ||
Statistic | Statistic | Statistic | Statistic | Statistic | Statistic | Std. Error | |
SociSupp | 311 | 1.00 | 5.00 | 3.4196 | 1.07349 | −0.415 | 0.138 |
FinanSupp | 311 | 1.00 | 5.00 | 3.3023 | 1.08782 | −0.326 | 0.138 |
AchievOrian | 311 | 1.00 | 5.00 | 3.2358 | 1.17017 | −0.300 | 0.138 |
EntrepKnow | 311 | 1.00 | 5.00 | 3.4939 | 1.18406 | −0.492 | 0.138 |
EntSelfEf | 311 | 1.00 | 5.00 | 3.3832 | 1.18311 | −0.451 | 0.138 |
FemEntInt | 311 | 1.00 | 5.00 | 3.5736 | 1.21717 | −0.591 | 0.138 |
Descriptive Statistics of Pakistan | |||||||
N | Minimum | Maximum | Mean | Std. Deviation | Skewness | ||
Statistic | Statistic | Statistic | Statistic | Statistic | Statistic | Std. Error | |
SociSupp | 311 | 1.00 | 5.00 | 3.3151 | 1.07762 | −0.263 | 0.138 |
FinanSupp | 311 | 1.00 | 5.00 | 3.3424 | 1.02906 | −0.387 | 0.138 |
AchievOrian | 311 | 1.00 | 5.00 | 3.2358 | 1.17017 | −0.300 | 0.138 |
EntrepKnow | 311 | 1.00 | 5.00 | 3.5569 | 1.12247 | −0.534 | 0.138 |
EntSelfEf | 311 | 1.00 | 5.00 | 3.3832 | 1.18311 | −0.451 | 0.138 |
FemEntInt | 311 | 1.00 | 5.00 | 3.5736 | 1.21717 | −0.591 | 0.138 |
China | Pakistan | ||
---|---|---|---|
Kaiser-Meyer-Olkin Measure of Sampling Adequacy. | 0.938 | 0.936 | |
Bartlett’s Test of Sphericity | Approx. Chi-Square | 11,056.974 | 10,009.241 |
Df | 351 | 351 | |
Sig. | 0.000 | 0.000 |
Component | ||||||
---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | 6 | |
SS1 | 0.819 | |||||
SS2 | 0.897 | |||||
SS3 | 0.849 | |||||
SS4 | 0.818 | |||||
FS1 | 0.865 | |||||
FS2 | 0.821 | |||||
FS3 | 0.826 | |||||
FS4 | 0.849 | |||||
AO1 | 0.803 | |||||
AO2 | 0.853 | |||||
AO3 | 0.827 | |||||
EK1 | 0.819 | |||||
EK2 | 0.828 | |||||
EK3 | 0.830 | |||||
EK4 | 0.865 | |||||
EK5 | 0.838 | |||||
SE1 | 0.836 | |||||
SE2 | 0.805 | |||||
SE3 | 0.811 | |||||
SE4 | 0.847 | |||||
SE5 | 0.816 | |||||
SE6 | 0.787 | |||||
FE1 | 0.704 | |||||
FE2 | 0.695 | |||||
FE3 | 0.757 | |||||
FE4 | 0.754 | |||||
FE5 | 0.743 |
Component | ||||||
---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | 6 | |
SS1 | 0.807 | |||||
SS2 | 0.879 | |||||
SS3 | 0.829 | |||||
SS4 | 0.780 | |||||
FS1 | 0.849 | |||||
FS2 | 0.807 | |||||
FS3 | 0.815 | |||||
FS4 | 0.837 | |||||
AO1 | 0.793 | |||||
AO2 | 0.847 | |||||
AO3 | 0.821 | |||||
EK1 | 0.810 | |||||
EK2 | 0.814 | |||||
EK3 | 0.813 | |||||
EK4 | 0.880 | |||||
EK5 | 0.856 | |||||
SE1 | 0.877 | |||||
SE2 | 0.848 | |||||
SE3 | 0.850 | |||||
SE4 | 0.887 | |||||
SE5 | 0.859 | |||||
SE6 | 0.832 | |||||
FE1 | 0.732 | |||||
FE2 | 0.730 | |||||
FE3 | 0.785 | |||||
FE4 | 0.778 | |||||
FE5 | 0.774 |
In
The goodness fit index is more than 0.80 in both cases, and equal to 0.855 and 0.837, the CMIN is less than 3 as required by the threhold level, the values for IFI are more than 0.90 and equal to 0.958 and 0.949, CFI is also more than 0.90 and RMSEA is less than 0.80, so all of the values of the compoenents are all right and valid according to the given threhold range, proving that there is a consistency of the researcher’s understanding of nature of a construct with the measures of a construct. The CFA screenshots for China and Pakistan are given in
SEM is given in
China | |||||||||
---|---|---|---|---|---|---|---|---|---|
CR | AVE | MSV | SE | SS | FS | EK | AO | FE | |
SE | 0.973 | 0.857 | 0.579 | 0.926 | |||||
SS | 0.959 | 0.854 | 0.445 | 0.583 | 0.924 | ||||
FS | 0.949 | 0.825 | 0.325 | 0.570 | 0.484 | 0.908 | |||
EK | 0.960 | 0.828 | 0.429 | 0.574 | 0.528 | 0.569 | 0.910 | ||
AO | 0.887 | 0.723 | 0.343 | 0.536 | 0.456 | 0.443 | 0.475 | 0.850 | |
FE | 0.971 | 0.871 | 0.579 | 0.761 | 0.667 | 0.544 | 0.655 | 0.586 | 0.933 |
Pakistan | |||||||||
CR | AVE | MSV | SE | SS | FS | EK | AO | FE | |
SE | 0.973 | 0.860 | 0.581 | 0.927 | |||||
SS | 0.930 | 0.769 | 0.341 | 0.438 | 0.877 | ||||
FS | 0.941 | 0.799 | 0.341 | 0.457 | 0.584 | 0.894 | |||
EK | 0.943 | 0.768 | 0.319 | 0.424 | 0.523 | 0.565 | 0.877 | ||
AO | 0.887 | 0.723 | 0.343 | 0.537 | 0.442 | 0.455 | 0.433 | 0.850 | |
FE | 0.971 | 0.871 | 0.581 | 0.762 | 0.541 | 0.495 | 0.534 | 0.586 | 0.933 |
Total Effect | SociSupp | FinanSupp | AchievOrian | EntrepKnow | EntSelfEf |
---|---|---|---|---|---|
EntSelfEf | 0.271** | 0.234** | 0.212** | 0.194** | 0.000 |
FemEntInt | 0.346** | 0.110* | 0.226** | 0.298** | 0.417** |
Direct Effect | SociSupp | FinanSupp | AchievOrian | EntrepKnow | EntSelfEf |
EntSelfEf | 0.271** | 0.234** | 0.212** | 0.194* | 0.000 |
FemEntInt | 0.233** | 0.013 | 0.138* | 0.218** | 0.417** |
Indirect Effect | SociSupp | FinanSupp | AchievOrian | EntrepKnow | EntSelfEf |
EntSelfEf | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
FemEntInt | 0.113** | 0.098** | 0.089** | 0.081* | 0.000 |
Total Effect | SociSupp | FinanSupp | AchievOrian | EntrepKnow | EntSelfEf |
---|---|---|---|---|---|
EntSelfEf | 0.151** | 0.145** | 0.337** | 0.119 | 0.000 |
FemEntInt | 0.229** | 0.095 | 0.328** | 0.215** | 0.540** |
Direct Effect | SociSupp | FinanSupp | AchievOrian | EntrepKnow | EntSelfEf |
EntSelfEf | 0.151** | 0.145** | 0.337** | 0.119 | 0.000 |
FemEntInt | 0.147* | 0.017 | 0.147* | 0.151** | 0.540** |
Indirect Effect | SociSupp | FinanSupp | AchievOrian | EntrepKnow | EntSelfEf |
EntSelfEf | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
FemEntInt | 0.081* | 0.078* | 0.182** | 0.064 | 0.000 |
achievement orientation, financial support and female entrepreneurial intention is significant and positive as well. In case of Pakistani females, the impact of social support on female entrepreneurial intention is significant and positive with a value of 22.9% which means that with 1 unit increase in social support female entrepreneurial intention will increase by 22.9%, the impact of financial support is insignificant on female entrepreneurial intention, the impact of achievement orientation is significant and positive on female entrepreneurial intention and the impact of entrepreneurial knowledge on female entrepreneurial intention is significant and positive as well by a value of 21.5% which means that with every 1 unit increase in entrepreneurial knowledge, the female entrepreneurial intention will increase by 21.5%. The mediation of Entrepreneurial Self-Efficacy between social support and female entrepreneurial intention is significant and positive, the mediation of Entrepreneurial Self-Efficacy between Entrepreneurial knowledge and female entrepreneurial intention is insignificant. And mediation in case of achievement orientation, financial support and female entrepreneurial intention is significant and positive as well.
Paired Differences | t | df | Sig. (2-tailed) | ||||||
---|---|---|---|---|---|---|---|---|---|
Mean | Std. Deviation | Std. Error Mean | 95% Confidence Interval of the Difference | ||||||
Lower | Upper | ||||||||
Pair 1 | P_SS - C_SS | −0.10450 | 0.59698 | 0.03385 | −0.17111 | −0.03789 | −3.087 | 310 | 0.002 |
Pair 2 | P_FS - C_FS | 0.04019 | 0.48733 | 0.02763 | −0.01418 | 0.09457 | 1.454 | 310 | 0.147 |
Pair 3 | P_EK - C_EK | −0.01393 | 0.14962 | 0.00848 | −0.03063 | 0.00276 | −1.642 | 310 | 0.102 |
Pair 4 | P_AO - C_AO | 0.06302 | 0.58311 | 0.03307 | −0.00204 | 0.12808 | 1.906 | 310 | 0.058 |
Pair 5 | P_SE - C_SE | 0.01286 | 0.16400 | 0.00930 | −0.00544 | 0.03116 | 1.383 | 310 | 0.168 |
Pair 6 | P_FE - C_FE | 0.01994 | 0.17668 | 0.01002 | 0.00022 | 0.03965 | 1.990 | 310 | 0.047 |
The research had the aim to know about the relationship between social support (SS) and female entrepreneurial intention (FEI), the relationship between financial support (FS) and female entrepreneurial intention (FEI), the relationship between Entrepreneurial knowledge (EK) and female entrepreneurial intention (FEI) and the relationship between Achievement Orientation (AO) and female entrepreneurial intention (FEI). Between these relations, the study also checked the mediation of Entrepreneurial Self-Efficacy (ESE). The researcher took a sample of 311 Chinese females and 311 Pakistani females, total sample was of 622 females and the demographical profiles of China were discussed.
The study had the objective to know about the relationship between the factors affecting the female entrepreneurship intention. These factors were analyzed in the context of Chinese and Pakistani females separately. The female entrepreneurial intention is seen to enhance when social approval and support is there as well and it has also been seen in various studies done in China that 72% of the female population is self-efficient and self-made under the socially supported circumstances (Alon, Misati, Warnecke, & Zhang, 2011). Entrepreneurship is mainly all about the execution of unique and naive idea and there are 101 ways in the book to generate resources and finance according to the rules of entrepreneurship. So, it can be asserted and exaggerated over here that other factors are more significant over here when it comes to female entrepreneurial intention and financial support has less direct influence over female entrepreneurial intention, it might or might not influence indirectly though (Deng, Wang, & Alon, 2011). It has been observed according to a study that, the success rate of female entrepreneurs is higher in the females that are achievement oriented rather than the ones that do not have a clear goal or vision (Estrin & Mickiewicz, 2011). It has been observed that females that have a clear goal and vision and are also always striving to achieve their goals and do everything in their possible ability to achieve what they believe in have a better female entrepreneurial intention (Hasan, 2020). Such females are observed to have a drive towards their goals and their female entrepreneurial intention is high enough to excel in their life in the pursuit of what they dream of and believe in. So, with the provided evidences, it can be said that the factor of achievement orientation enhances the female entrepreneurial intention in a positive and significant way to excel it (He, Lu, & Qian, 2019). The impact of entrepreneurial knowledge has been linked with entrepreneurial intentionIt is supported by a number of studies such as, the study of (Hernandez, Nunn, & Warnecke, 2012), has suggested that in order to make and enhance intention regarding any kind of goal, or pursue any kind of dream, at the first place, it is necessary that the relevant knowledge and complete information regarding that step is acquired, this has proven to enhance the impact and the success rate by 75% more (Holmén, Min, & Saarelainen, 2011). Also, a study has proven that not only in the case of female entrepreneurial intention but also in the case of other fields as well, the success rate is directly related with the relevant knowledge of the field. Female entrepreneurial intention can not only be enhanced in a significant and positive way with the help of relevant entrepreneurial knowledge but it can also enhance the rate of success of female entrepreneurs who take a decision to pursue their dreams that step towards being self-made with unique and out of the box ideas (Hussain & Mahmood, 2012). In line with these studies and theirs the seven of the hypotheses were accepted whereas one was rejected according to the theory (Muhammad, Warren, & Binte-Saleem, 2017), financial support and resources make the females self-efficient and increase their level of self-efficacy as well, all of which in turn enhances the possibility of increase in female entrepreneurial intention (Omeihe, Dakhan, Khan, Gustafsson, & Amoako, 2019). Once the orientation towards goal is clear, the efforts become more vivid and are enhanced and then so it the goal for achieving an entrepreneurial dream becomes more important so female entrepreneurial intention clearly enhances (Ahmad, 2011). The relevant knowledge enhances the effectiveness of tasks, it can also make a person self-efficient in managing everything and get things done (Al-Sadi, Belwal, & Al-Badi, 2011).
Aim of the study was to know about the relationship between social support (SS) and female entrepreneurial intention (FEI), the relationship between financial support (FS) and female entrepreneurial intention (FEI), the relationship between Entrepreneurial knowledge (EK) and female entrepreneurial intention (FEI) and the relationship between Achievement Orientation (AO) and female entrepreneurial intention (FEI). Between these relations, the study also checked the mediation of Entrepreneurial Self-Efficacy (ESE). The Chinese female data analysis is concerned, the results showed that the impact of social support, achievement orientation and entrepreneurial knowledge was significant on female entrepreneurial intention and the impact of financial support was insignificant. Moreover, the mediation of entrepreneurial self-efficacy was significant in all of the cases as well. Whereas, where the results of the data analysis done with the data collected from the Pakistani females are concerned, the impact of social support, achievement orientation and entrepreneurial knowledge was significant on the female entrepreneurial intention, whereas, the impact of financial support was insignificant. Unlike China, the mediation was not significant in all of the cases, over here, the mediation was significant for all of the other relations except for the relationship between entrepreneurial knowledge and female entrepreneurial intention was not significantly mediated by entrepreneurial self-efficacy which is the case opposite to what was seen in the case of Chinese females.
The results of the study indicate that the societies and countries that want their female population to contribute to the economy, must extend their social support towards them, teaching the details and techniques of entrepreneurship can add up a great deal of knowledge to the making of a successful female entrepreneur. According to the results of the study, government of Pakistan and China and of any country that needs to promote female entrepreneurship, can take steps to improve the education facilities and knowledge campaigns regarding entrepreneurship for females, which will not only enhance their knowledge but will also impact their level of self-efficacy, also the study is promoting the societies to become a better place in which the element of support is the main factor that needs implementation.
The researcher has chosen Pakistani and Chinese females as a sample and has then chosen data from random Pakistani and Chinese females who are new entrepreneurs, whereas, the researcher should have selected a specific sector for the purpose of data collection and should have specified their issues as well. The future researchers are recommended to select a specific group of entrepreneurs for the purpose of data collection that is most relevant to the field of entrepreneurship. Moreover, the researcher has only used the method of questionnaires or survey for the purpose of data collection in which not only the information can be biased but can also be filled with carelessness and the respondents might respond in a way that they really do not mean to. The future researchers are recommended to us the method of telephonic interviews along with the survey method so that a better and clearer picture can be obtained by the researcher regarding the problem.
The authors declare no conflicts of interest regarding the publication of this paper.
Gul, R., Wu, C. S., & Khan, B. U. (2021). Comparative Study of the Factors of Female Entrepreneurship in China and Pakistan. Open Journal of Social Sciences, 9, 342-370. https://doi.org/10.4236/jss.2021.92024