KAO Papa
PhD student in Agricultural economics of university of Lomé (ESA/UL)
DOI : https://doi.org/10.47191/ijmra/v5-i2-24Google Scholar Download Pdf
ABSTRACT:
In this paper, we develop a theoretical model to simultaneously describe the adoption of improved seed technology and the climate risk perception capacity of farmers facing production risks and incomplete information about the new technology. The adoption condition is derived from the assumptions of upstream climate risk perception and downstream farmer risk aversion, and assuming that uncertainty can arise from two sources: the randomness of climatic conditions and the uncertainty of future returns associated with the use of the new technology. We estimate a reduced form of this model through the Heckman selection probit using a sample of 545 plots distributed in the five regions of Togo. The estimation procedure is developed in two steps. In the first step, we estimate the first four moments of the benefit distribution and in the second step, we incorporate these estimated moments into the model of technology adoption and climate risk perception. We find that risk plays a central role in farmers' decisions, first through the direct effect of its perception and second through sampling moments of the yield distribution in the adoption model.
KEYWORDS:Risk, perception, technological adoption.
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Volume 05 Issue 02 February 2022
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