Determining the Magnitude of the Impact of Agricultural Credit on Productivity
Abstract
The objective of this study was to assess the extent of the impact of credit on agricultural productivity in Congo. Data from the 2011 agricultural sector survey (AS), an endogenous switching regression (ESR), and a multiple linear regression (MLR) were used. The results obtained showed that in the Congolese context, access to credit depended on farmers' working conditions, but above all, the results showed that access to credit among farmers had a negative impact on their productivity. These results have made it possible to propose policy implications, such as the establishment of a financing system adapted to the Congolese agricultural sector, the creation of specialized agricultural banks, and the promotion of an increase in the availability of skilled labor.
Full Text: PDF DOI: 10.15640/jeds.v8n4a6
Abstract
The objective of this study was to assess the extent of the impact of credit on agricultural productivity in Congo. Data from the 2011 agricultural sector survey (AS), an endogenous switching regression (ESR), and a multiple linear regression (MLR) were used. The results obtained showed that in the Congolese context, access to credit depended on farmers' working conditions, but above all, the results showed that access to credit among farmers had a negative impact on their productivity. These results have made it possible to propose policy implications, such as the establishment of a financing system adapted to the Congolese agricultural sector, the creation of specialized agricultural banks, and the promotion of an increase in the availability of skilled labor.
Full Text: PDF DOI: 10.15640/jeds.v8n4a6
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