Dynamic Evaluation of China's Low-carbon Agriculture Development Level from the Perspective of Fuzzy Incentives and Punishments

Abstract

Based on the panel data of 30 provinces in China from 2014 to 2019. Firstly, this paper using the catastrophe progression method established static evaluation for the provincial low-carbon agriculture development level. Secondly, the dynamic evaluation model of regional low-carbon agriculture development level is established based on the perspective of fuzzy incentives and punishments, and empirically analyzed the effect of fuzzy incentives and punishments on the development of low-carbon agriculture in various provinces .The results go as follows: Areas with high static evaluation values of the regional low-carbon agricultural development level are subject to more incentives. The areas with low static evaluations are subject to more punishments .This paper implements fuzzy incentives and punishments and achieves encouragement and punishment in different regions, which provides the certain incentive effect for development of low-carbon agriculture in various provinces, and also compensates for the limitations of clear boundaries of incentive and punishment in actual regional low-carbon economic development.