Exploring the impact of energy factor prices and environmental regulation on China’s green innovation efficiency

This study adopts super-DEA model to measure the current level of green innovation efficiency in Chinese provinces. At the same time, Tobit model is used to analyze the impact of energy factor prices and environmental regulation on its efficiency, the results are as follows: (1) Chinese green innova...

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Published inEnvironmental science and pollution research international Vol. 29; no. 52; pp. 78973 - 78988
Main Authors Zhou, Hongji, Wang, Rong
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2022
Springer Nature B.V
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Abstract This study adopts super-DEA model to measure the current level of green innovation efficiency in Chinese provinces. At the same time, Tobit model is used to analyze the impact of energy factor prices and environmental regulation on its efficiency, the results are as follows: (1) Chinese green innovation efficiency average is 0.545, which is at a low level, but shows a steady upward trend. The results have shown that large differences exist in different provinces. Average value of efficiency is highest in the eastern and lowest in the western, and low green innovation efficiency is focus on main provinces of producing coal-based mineral resources. (2) The price change of energy factors inhibits the national green innovation efficiency. The impact on the eastern part of China is positive, but did not pass the significance test, and in central region is negative and also did not pass test, but in the western, it inhibits green innovation efficiency significantly. Environmental regulation has a negative effect on the national green innovation efficiency, the impact coefficient of east is positive, and also positive in the central part, but it fails to pass significance test, while in the west is negative. It can be seen that there are significant regional differences in the impact of the two on the efficiency of green innovation. This paper proposes that we can pay attention to the promotion of environmental regulation, encourages enterprises to actively carry out green innovation activities, continues to deepen the market-oriented reform of energy prices, and increases credit support and introduce financial resources for corporate R&D activities to explore policies to improve the efficiency of regional green innovation.
AbstractList This study adopts super-DEA model to measure the current level of green innovation efficiency in Chinese provinces. At the same time, Tobit model is used to analyze the impact of energy factor prices and environmental regulation on its efficiency, the results are as follows: (1) Chinese green innovation efficiency average is 0.545, which is at a low level, but shows a steady upward trend. The results have shown that large differences exist in different provinces. Average value of efficiency is highest in the eastern and lowest in the western, and low green innovation efficiency is focus on main provinces of producing coal-based mineral resources. (2) The price change of energy factors inhibits the national green innovation efficiency. The impact on the eastern part of China is positive, but did not pass the significance test, and in central region is negative and also did not pass test, but in the western, it inhibits green innovation efficiency significantly. Environmental regulation has a negative effect on the national green innovation efficiency, the impact coefficient of east is positive, and also positive in the central part, but it fails to pass significance test, while in the west is negative. It can be seen that there are significant regional differences in the impact of the two on the efficiency of green innovation. This paper proposes that we can pay attention to the promotion of environmental regulation, encourages enterprises to actively carry out green innovation activities, continues to deepen the market-oriented reform of energy prices, and increases credit support and introduce financial resources for corporate R&D activities to explore policies to improve the efficiency of regional green innovation.
Author Zhou, Hongji
Wang, Rong
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  organization: Business School, Nanjing Xiaozhuang University
BackLink https://www.ncbi.nlm.nih.gov/pubmed/35701700$$D View this record in MEDLINE/PubMed
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Copyright The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022
2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
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Snippet This study adopts super-DEA model to measure the current level of green innovation efficiency in Chinese provinces. At the same time, Tobit model is used to...
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SubjectTerms Aquatic Pollution
Atmospheric Protection/Air Quality Control/Air Pollution
Earth and Environmental Science
Ecotoxicology
Efficiency
Energy
Environment
Environmental Chemistry
Environmental Health
Environmental regulations
Environmental science
Impact analysis
Innovations
Low level
Mineral resources
Prices
Pricing
Research Article
Waste Water Technology
Water Management
Water Pollution Control
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Title Exploring the impact of energy factor prices and environmental regulation on China’s green innovation efficiency
URI https://link.springer.com/article/10.1007/s11356-022-21371-y
https://www.ncbi.nlm.nih.gov/pubmed/35701700
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