The Impact of Ecological Governance on Industrial Structure Upgrading under the Dual Carbon Target
Siqing You,
Han Zhao (),
Hongli Zhou (),
Chaoyu Zhang and
Zican Li
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Siqing You: School of Information, Beijing Wuzi University, Beijing 101100, China
Han Zhao: School of Information, Beijing Wuzi University, Beijing 101100, China
Hongli Zhou: School of Information, Beijing Wuzi University, Beijing 101100, China
Chaoyu Zhang: School of Information, Beijing Wuzi University, Beijing 101100, China
Zican Li: School of Information, Beijing Wuzi University, Beijing 101100, China
Sustainability, 2023, vol. 15, issue 11, 1-17
Abstract:
Under China’s goal of “carbon neutrality”, appropriate ecological governance is crucial for upgrading the industrial structure, and too strict or loose governance will have a negative effect. In order to find the optimal range for ecological governance efforts, the concept of the industrial low-carbon index was defined based on the comparison of industrial carbon emissions and output value. The industrial structure was measured from two dimensions: overall upgrading and internal optimization of the industry. We innovatively use multiple indicators to represent the core explanatory variables and use the coefficient of variation method to calculate them. A threshold regression model for ecological governance and industrial structure based on the above indicator system was built, using indicator data from 288 cities in China over the past 15 years for empirical analysis. The study found that (1) ecological governance has a threshold effect on the overall upgrading and internal optimization of the industrial structure, and overall efforts need to be increased for ecological governance; (2) the governance intensity for different cities needs to be determined according to their economic levels and local conditions; and (3) the industrial structure gap among cities will gradually narrow, and the overall development tends to be balanced.
Keywords: industrial structure; low carbonization; ecological governance; threshold model (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (1)
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