The measurement and temporal and spatial evolution of the green technology innovation efficiency of secondary industry in Yangtze River Economic Belt

doi:10.14088/j.cnki.issn0439-8114.2022.12.039

Abstract

Abstract: The Max-min-DEA model of SBM and Kernel density estimation function were used to measure the green technology innovation efficiency of secondary industry in 11 provinces and cities along the Yangtze River Economic Belt from 2001 to 2018, and their spatial and temporal differences were analyzed. The results showed that the efficiency of green technology innovation of secondary industry in 11 provinces and cities along the Yangtze River Economic Belt was high, but there was still room for improvement. It was necessary to do a good job in reducing consumption and emission to improve efficiency. During the observation period, the overall efficiency was on the rise, but there were obvious spatial and temporal differences in the evolution law and trend of green technology innovation efficiency of the secondary industry among the sub regions and among the provinces in the Yangtze River Economic Belt.

Key words: secondary industry, green technology innovation efficiency, Max-min-DEA model, Kernel density estimation function, temporal and spatial differences, Yangtze River Economic Belt

CLC Number:

F124.3
X321

CHEN Hong, SHEN Jun-yuan, CHEN Shi-yu. The measurement and temporal and spatial evolution of the green technology innovation efficiency of secondary industry in Yangtze River Economic Belt[J]. HUBEI AGRICULTURAL SCIENCES, 2022, 61(12): 200-205.

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