ORIGINAL RESEARCH
Efficiency Evaluation of Green Innovation in Chinese Eight Comprehensive Economic Areas Based on Three-stage Malmquist Index
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School of Management, Shanghai University, Shanghai 200444, No. 99, Shangda Road, China
 
 
Submission date: 2020-07-27
 
 
Final revision date: 2020-10-20
 
 
Acceptance date: 2020-11-03
 
 
Online publication date: 2021-02-24
 
 
Publication date: 2021-04-16
 
 
Corresponding author
Yanfei Zhou   

Shanghai University, China
 
 
Pol. J. Environ. Stud. 2021;30(3):2863-2875
 
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ABSTRACT
Based on the regional panel data of 2011-2018, this investigation firstly employs three-stage Malmquist index to evaluate the green innovation efficiency of Eight Comprehensive Economic Areas in China. Then, according to the different causes of low technology efficiency in different areas, Eight Comprehensive Economic Areas are classified into four categories utilizing pure technology efficiency and scale efficiency matrix. Additionally, the comparison between original and revised Malmquist index is illustrated. The empirical findings are as follows: (1) The green innovation efficiency in the whole country is on the rise. South coast, Northwest and Southwest are ahead of the country. (2) Accelerating the development of technology market and optimizing the industrial structure contribute to the advancement of green innovation efficiency. (3) The green innovation efficiency in the first stage is overestimated due to the overestimated technical efficiency. Furthermore, the fundamental reason for low technical efficiency is low scale efficiency. (4) After excluding the interference of external environment and random factors, the Malmquist index of each region declines. Additionally, the national average value of green innovation efficiency descends from 1.105 to 1.047, and Northwest and Middle Yellow River decreases 5 ranks and increases 3 ranks, respectively.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
 
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eISSN:2083-5906
ISSN:1230-1485
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