Economic Analysis of the Determinants of the Adoption of Water and Soil Conservation Techniques in Burkina Faso: Case of Cotton Producers in the Province of Bam

Soil degradation is a major problem in the Sudano-Sahelian zone of Burkina Faso. To maintain or improve soil productivity levels and limit Water losses, especially with rainfall variability, adaptation strategies have been developed that focus on water and Soil Conservation techniques (WSC). Although their agronomic benefits have been proven, adoption rates for these techniques are generally low, particularly among cotton farmers in Bam province. The main objective of this study is to identify the socioeconomic and institutional determinants of the adoption of WSC among cotton farmers in Bam. The data used for our study were collected as part of the Semi-Arid Resilience Promo-tion Project (SARP) from cotton producers in the province. A probit model was used to analyze the factors that determine the adoption of WSC in Bam cotton producers. The results show that variables such as early warning, group membership, smartphone ownership, and cotton income positively influence the likelihood of producers adopting WSC techniques. On the other hand, technical assistance and access to the pesticide have a negative influence on the adoption of WSC by Bam cotton producers.

of the area is devoted to agricultural production [1] [2]. The country is flat and the relief consists of a vast plateau with 749 m as the highest point. Like other countries in the Sahel, Burkina Faso has been affected by these disturbances of the rainfall regime (devastating floods, heavy rains). The climatic conditions delineating the extent of agricultural practices and the changes in rainfall patterns have a definite impact on agricultural ecosystems and average yields. Their impacts on agriculture are inevitable and raise the issue of adaptation, which is an emergency for Burkina Faso in terms of its vulnerability to climate variability. In the Sudano-Sahelian cotton zone of Cameroon, agriculture is perceived as a major factor of environmental degradation and more particularly as promoting soil erosion which is a phenomenon characterized by the detachment of soil particles from their initial location. Then their transport and deposition by water or wind have the direct consequence of soil degradation [2] [3]. Each year, 75 billion metric tons of soil is displaced on the earth's surface by wind and water erosion.
Similarly, 50% of the Earth's surface is affected by anthropogenic processes of soil degradation.
Every year, 6 to 7 million hectares of agricultural land in the world is rendered unproductive by erosion [4]. Faced with this situation, the scientific community, On farms, farmers and researchers used soil and water conservation techniques, improved crop varieties, modified planting dates, crop diversification, funds and seasonal forecasts [3].
With large agricultural areas of about 9 million hectares (one-third of the country), whose estimated area for the 2012-2013 crop year is 5,779,046 hectares [5]. They are occupied by the cultivation of cereals, rents, and food. According to (INERA, 2000), about 24% of arable land in Burkina Faso is highly degraded and threatens to affect the quality of the natural environment and food security in the medium and long term. Soil degradation is one of the major problems [6] [7].
The essence of this study, therefore, is to develop a better understanding of the drivers of the adoption of water and soil conservation technologies. This will enable government and stakeholders to design policies that are geared towards improving the adoption of the technologies. The analysis is expected to provide in-depth knowledge of technology adoption and the role played by a farmer, farm and institutional factors in adoption.
The rest of the paper is organized as follows: Section 2 presents a review of related literature. While Section 3 outlines the methodology, Section 4 discusses the findings of the study. Section 5 concludes the study with recommendations.

Study Area and Data Collection (Figure 1)
The data used in this study are those of the survey conducted in 2017 in arid and dryland areas of Burkina Faso, as part of the Semi-Arid Zone Resilience Promotion Project (SARP). The objective of the project is to see how climate change affects the economic performance of private actors in these areas. In the implementation of research strategies, the researchers involved in this project are firmly convinced that climate change is negatively affecting economic returns in these areas, but they believe that it is also possible to identify new opportunities related to climate variability. Recognizing that the richest and most successful private actors are already implementing strategies to adapt to climate change, our work in this study is to determine the socioeconomic and institutional factors involved in the adoption of WSC techniques.

Specification and Justification of the Choice of the Probit Model
There are many studies on the adoption of water and soil conservation technol-  Above, the probit model was used for the analysis. Indeed, the objective of our study is to specify the behavior of the producers concerning the WSC technique by identifying the factors that influence its adoption, in the form of a probability According to the theory of utility, technology will be adopted by the producer if the utility associated with this variety is greater than the old technology. The choice of the probit model is due among other things to the fact that it facilitates the manipulation of the results [1]. Indeed, Probit's distribution function in discrete choice modeling follows the normal centered distribution [0, 1] [6].

Econometric Model
The analysis concerns WSC techniques. The decision to adopt technology is dichotomous where the producer can decide whether to use the technology. The adopter has been defined as a producer who uses at least one WSC technique.
Non-adopters are those who use traditional techniques.
In this model, we define a variable y * as follows: Let y * be the latent variable representing the producer's decision. With: β: the vector of the parameters to be estimated. We have the following cases: If * 0 Y > then the producer adopts the technology, so where i X * is the difference of the component explanatory variables of the original vector i X , unlike the constant term which now integrates the threshold "c". In this model, the probability that a producer chooses to adopt the WSC techniques is increasing for component variables of i X whose associated parameters are positive, and decreasing for those whose parameters are negative.
It is assumed that the errors ( i ε ) are independent and identically distributed and follow the normal distribution.
Theoretically we have the adoption of WSC techniques that can be written as a function of several variables and defined as follows:  Table 1 shows that the model is significant at the 1% threshold as shown by the probability of Khi2 (Prob > chi2 = 0.0000), which shows the good specification of the model and that the variables selected make it possible to explain significantly the adoption of WSC techniques. The results of the econometric estimation indicate that six (6) variables significantly influence the adoption of WSC techniques. These variables are Early warning, Membership in a group, Technical assistance, Access to pesticides, Possession of a smartphone, Reviewed cotton. Among these variables, 4 positively influences the adoption, and 2 variables the negative influence. of producer membership in a group increases the probability of adoption by 0.0062%.

Interpretation of Results
The existence of an early warning system: positively influences the adoption of the WSC techniques at 1%. This means that having the information on the season allows the adoption of the WSC technique to cope with climatic drenching. This can be explained by the fact that lessons learned to play a great deal on the behavior of producers. Marginal effects indicate that a 1% increase in seasonal information acquisition for agriculture increases the likelihood of adopting WSC techniques by 0.0048%, all other things being equal.

Discussions and Economic Policies
In light of the results obtained in the field about the influence of cotton income on the adoption of WSC techniques, these results confirm our hypothesis. The positive influence on the adoption of the WSC techniques of the Income variable is in line with those expected. This confirms the neoclassical theory that farmers adopt new technologies if they bring them net economic benefits [12] [15]. It is interesting to note the influence on the probability of adoption of WSC techniques, membership in a group. In other words, the financial burden of implementing these WSC techniques hurts the behavior of households faced with their adoption. But collective action acts positively because it is a method that requires a large workforce. These results are consistent with that collective action and the workforce are decisive factors in the adoption of technology [16]. To disseminate water and soil conservation techniques, not only in the Bam but also in the area, it will be necessary to take into account membership in a group as an instrument of economic policy. Thus, for a good extension, lightening the conditions for joining a group is essential [3] [7] [16]. Early warning, possession of a smartphone is determining factors in the adoption of WSC techniques. Thus, to get households to adopt WSC techniques, these households should be encouraged to have information about the season before starting it. These results confirm that, which states that environmental risks, wealth are factors influencing the choice of producers on technologies, [8] [13] [17] [18] for whom the behavior is downpouring. the risk of producers reduces the probability of adoption of new technologies in the study areas in Ethiopia. And finally, to make them understand the advantages and the constraints related to these techniques. Training sessions should be organized periodically (e.g. monthly) by agricultural and meteorological technicians assisted by those of research to provide households with detailed information on techniques improved by research and development. warning signs of the need for the adoption of WSC techniques. These training programs, even if they already exist, remain insufficient because some households adopt the WSC just by imitating their operating neighbors practicing the WSC after technical supervision received from a project for example. In our work, technical assistance, and access to pesticides are variables that negatively influence the adoption of WSC techniques. These results disprove the one found in Kenya [16]. According to him, the contact with the agricultural agent makes the farmer favorable to the adoption of the technologies. Future actions should take into account the role of producer groups in the adoption of WSCs by cotton producers, with clusters at the interface between farmers and programs promoting and disseminating WSC techniques. Besides, a policy of favoritism may be considered with a view to bringing non-adopters to adoption. Thus, special facilities for access to agricultural equipment and credits may be given to the member of the groups, set up meteorological information cells of the producers.

Conclusions
Our study took place in the North-Central of Burkina Faso more precisely in the province of Bam, characterized by a significant degradation of the natural resources. The objective was to identify the socioeconomic and institutional determinants of the adoption of WSCs as a climate change adaptation technique by cotton farmers in Bam province. To achieve this objective, the use of the statistical and econometric analysis method was necessary. For the determinants of adoption, the probit model was chosen because it reflects both the use of quantitative and qualitative variables and is simple to use. The estimation of the parameters was done by the method of maximum likelihood. The data used in this research were obtained from a sample of three sixty-five (365) households, in the five communes of Bam (Guibare, Kongoussi, Rouko, Sabce, Tikare). These data come from the SARP Project Survey and the choice of households was exhaustive (all cotton producers).
Data analysis identified the variables that influence the adoption of water and soil conservation techniques. The choice to adopt or not the WSC techniques is influenced by socioeconomic and institutional factors.
Many authors have provided very enriching answers. The prices of factors of production and products are decisive factors in the adoption of WSC in Ethiopia. The production of traditional knowledge on anti-erosion measures is a determining factor in their adoption [13]. The ownership of property rights and collective action are real determinants of the adoption of WSC's [8]. The population and therefore the size of a household has a significant influence on the adoption of water and soil conservation technologies [5]. Through the econometric regression, in this study, the variables identified as having a significant impact on the probability of adoption of WSC techniques are Cotton income, Possession of a smartphone, Technical assistance, Access to pesticides, Membership in a group, the existence of an early warning system. Yields are also an instrument that can be used to assess behavior 56 households in the face of the adoption of WSCs in Bam. This adoption of WSC is similarly influenced by the perception of the utility that households derive from WSC.