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 in | Environmental science and pollution research international Vol. 29; no. 52; pp. 78973 - 78988 |
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Main Authors | , |
Format | Journal Article |
Language | English |
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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. |
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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 |
Author_xml | – sequence: 1 givenname: Hongji surname: Zhou fullname: Zhou, Hongji organization: School of Economics and Management, Nanjing Institute of Technology – sequence: 2 givenname: Rong orcidid: 0000-0003-0098-7514 surname: Wang fullname: Wang, Rong email: wxr920@163.com 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. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022. |
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Keywords | Green innovation efficiency Environmental regulation Sustainable development Energy factor price |
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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... |
SourceID | proquest crossref pubmed springer |
SourceType | Aggregation Database Index Database Publisher |
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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 |
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