期刊
SUSTAINABILITY
卷 14, 期 13, 页码 -出版社
MDPI
DOI: 10.3390/su14138000
关键词
China's manufacturing industry; green innovation performance; three-stage DEA; Malmquist index method; regional heterogeneity; improvement path
资金
- National Natural Science Foundation of China [72004087, 72102061, 72163021, 72064017, 71862024]
- Social Science Fund Project of Jiangxi Province, China [21YJ28]
- Humanities and Social Science Research Youth Fund Project of Ministry of Education of China [20YJC790161]
- Research Fund Project of Humanities and Social Science of Universities in Jiangxi Province, China [JJ20209]
- National Social Science Major Project of China [16ZDA047, 18ZDA047]
- Key Project of Education Science Planning of Jiangxi Province, China [20ZD004]
Green innovation, combining innovation-driven and green development, is a powerful way to overcome resource and environmental constraints in manufacturing industry. The green innovation efficiency in China is relatively low with regional heterogeneity, while the green innovation productivity shows a dynamic evolution with regional differences. The eastern region has high efficiency but low productivity, the central region has low efficiency and productivity, and the western region has high productivity but low efficiency.
Green innovation, which combines innovation-driven and green development, is one of the most powerful ways to overcome resource and environmental constraints and enhance manufacturing industry sustainability. Based on the innovation value chain perspective, the green innovation process of manufacturing industry is decomposed into two stages: green scientific and technological R&D and achievement transformation. Then, using the three-stage DEA and Malmquist index model to measure the green innovation performance of China's manufacturing industry, and compare its regional heterogeneity from the dual perspectives of static efficiency and dynamic productivity. In addition, this paper further discusses the improvement path of green innovation performance of China's manufacturing industry. The findings are as follows: (1) The green innovation efficiency of manufacturing industry in China is at a comparatively low degree and has great potential for improvement. Moreover, it shows apparent regional heterogeneity: The green innovation efficiency in the eastern region is higher than that in the western region, and both are higher than that in the center region, confirming the phenomenon of central collapse. (2) The green innovation productivity of China's manufacturing industry shows a W-type dynamic evolution tendency, with green technological progress as the key driving factor, while the green technical efficiency does not clearly exhibit a catch-up effect. Additionally, it shows significant regional heterogeneity: green innovation productivity in the western region is higher than that in the central and eastern regions, indicating a potential backwardness advantage. (3) The eastern region of China is located in combination IV, which indicates that it has a high rate of green innovation efficiency but a low rate of green innovation productivity; the central region is located in combination III, which indicates that it has a low rate of both green innovation efficiency and productivity; and the western region is located in combination II, which indicates that it has a low rate of green innovation efficiency but a high rate of green innovation productivity. Last but not least, this paper puts forward three kinds of paths for the improvement of the green innovation performance of China's manufacturing industry: unilateral breakthrough, step-by-step and stimulating jumping type.
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