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Absract: This paper inspects association between carbon dioxide emission and agricultural productivity in Pakistan. The time series data from (1966-2014) has been taken for analysis. Kendrick’s model is used to determine total agricultural productivity (AGP) and optimization is found with the help tool of the Langrage Multiplier. The order of integration is decided by Ng-Perron test. This test points out that both variables are integrated of order one 1(1). The short run impact of CO2 emission on AGP is found by using the technique of the vector autoregressive regressive (VAR). Jhonson Cointegration technique (JCT) was used to detect long- term connection between variables. The results show there is no short- term and long- term co-relationship between the CO2 emission and AGP. The results of the impulse response functions show behavior of influence of the both variables. The results of variance decomposition show the variation in AGP and carbon dioxide emission (CDE). The findings of Granger causality test indicate that there is not a unidirectional causality from CDE to AGP.<

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