Performance Evaluation and Spatio-temporal heterogeneity analysis of green Technology Innovation in The Yangt River Economic Belt

Abstract

Starting from defining the connotation of green technology innovation performance, the evaluation index of green innovation performance was constructed. The panel data of industrial enterprises in the Yangtze River Economic Belt from 2010 to 2018 were selected. Dea-sbm model and entropy weight method were used to evaluate and diagnose the green technology innovation performance in the Yangtze River Economic Belt. The results show that; Under time heterogeneity; (1) The performance level of green technology innovation in the Yangtze River Economic Belt and the three regions is generally low and shows periodic fluctuations; (2) The green technology innovation performance of downstream regions “Jiangsu, Zhejiang and Shanghai” is at the level of “high green efficiency and high innovation efficiency”, while the middle and upstream regions are always at the level of “low green efficiency and low innovation efficiency”; Under spatial heterogeneity :(1) the green technology innovation performance level of the Yangtze river economic belt is significantly different; > in the downstream region, > in the midstream region, and > in the upstream region; (2) Only nearly 30% of the provinces and cities are in the “high green efficiency and high innovation efficiency”, while the rest of the provinces and cities are in the “low green efficiency and low innovation efficiency”.