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GENERAL & APPLIED ECONOMICS

Access to credit and agricultural productivity: Evidence from maize producers in Benin

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Article: 2196856 | Received 03 Mar 2022, Accepted 25 Mar 2023, Published online: 19 Apr 2023

Figures & data

Table 1. Financing of the agricultural sector strategic recovery plan (PSRSA)

Table 2. Descriptive statistics of the main variables

Table 3. Socioeconomic characteristics of producers according to access to credit

Figure 1. Access to credit by region and average regional yield by access to credit.

Note: The proportions are in %. The yield is measured by relating the volume of production (Kg) to the area planted (ha).Source: Authors from PAPA’s data 2016.
Figure 1. Access to credit by region and average regional yield by access to credit.

Table 4. Estimation of the endogenous switching regression model

Figure 2. Kernel density of the logarithm of yield according to access to credit. (Source: Author based on estimating results).

Figure 2. Kernel density of the logarithm of yield according to access to credit. (Source: Author based on estimating results).

Table 5. Productivity difference according to access to credit or not

Table 6. Capital productivity difference according to access to credit or not

Table A1. Definitions and measures of study variables

Table A2. Estimation of the endogenous switching regression model

Figure A1. Maize yield from 2011 to 2020 (Kg/ha).

Source: Authors from FAOSTAT data (2022)

Figure A1. Maize yield from 2011 to 2020 (Kg/ha).Source: Authors from FAOSTAT data (2022)