Green total factor productivity of hog breeding in China: Application of SE-SBM model and grey relation matrix

Green total factor productivity (GTFP) is an index that demonstrates the concept of sustainable development. It can be used to measure the degree of coordination between industrial development and environmental protection. Considering shortage of studies on agricultural GTFP and the urgency of hog breeding’s long-term development, our paper puts forward the study of GTFP of pig-breeding in China for the first time. Firstly, five main pollutants discharged by hog breeding of 18 provinces from 2007 to 2011 are estimated respectively. They are added into a variables list that is commonly used to estimate total factor productivity. Then, based on those data, the Super-SBM model is employed to estimate GTFP of hog breeding for three kinds of scales in these provinces. The empirical result shows: 1) GTFP of 18 provinces are higher than that at the national level, but the majority of them do not achieve efficient production; 2) hog breeding industry transferred from traditional producing areas to middle areas is not followed up with efficiency improvement. other areas, like northeast, coast, and southwest see GTFP transference that is more efficient due to their resource endowments.Via gray correlation analysis, this paper finds that, in most cases, GTFP is discouraged by increasing pollution control degree. Finally, we proposed some suggestions to promote sustainable development of hog breeding.