Climate Change and Agricultural Productivity in Nigeria
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The study investigated climate change and agricultural productivity in Nigeria using secondary data spanning from 1986 ' 2016. The ordinary least square (OLS) estimation technique was used to check the relationship existing between the Agricultural sector output, as the dependent variable and Annual Average Temperature (AVT), Annual Average Rainfall (ARF) and Annual Average Sunshine Level (ASL) as independent variables. The Unit root test revealed that all variables became stationary after first differencing; the Johansen Co-integration test revealed a long run equilibrium relationship among the variables employed; the parsimonious ECM Test was rightly signed and 28 percent disequilibrium is corrected annually. The study showed a relationship between climate change variables and agricultural productivity in Nigeria with the coefficients of AVT and ASL conforming to a priori expectations while ARF did not. The stability test revealed a long run stability of the variables employed and can therefore be used for policy analysis. Based on findings, it is recommended that there is a need to intensify effort on climate change enlightenment campaign, innovative agricultural strategies are required to augment the shortage of rainfall while a national economic plan to take into cognizance futuristic expected climate change impacts and how to deal with it should be implemented.