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Abstract
Whether green credit policy is conducive to improving the green innovation efficiency of heavy polluting industries is of great significance for China’s sustainable economic development and the construction of ecological civilization. This paper uses China’s Green Credit Guidelines to conduct a quasi-natural experiment based on relevant panel data of industries from 2007 to 2018. Specifically, it employs the Super-SBM model including non-expected output to measure the green innovation efficiency of 35 industries in China, and constructs the propensity score matching difference-in-difference model to explore how green credit policy impact on the green innovation efficiency of heavy polluting industries. The results show that the coefficient of difference-in-difference (
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1 Xinjiang University, School of Economics and Management, Urumqi, People’s Republic of China (GRID:grid.413254.5) (ISNI:0000 0000 9544 7024)
2 China University of Geosciences, School of Economics and Management, Wuhan, People’s Republic of China (GRID:grid.503241.1) (ISNI:0000 0004 1760 9015)





