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Title The impact of the pollution permits system on green innovation: Evidence from the county-level data in China
ID_Doc 35277
Authors Ren, K; Kong, YS; Zhang, TJ; Sun, HP; Zhu, NP; Liu, FQ
Title The impact of the pollution permits system on green innovation: Evidence from the county-level data in China
Year 2022
Published
DOI 10.1016/j.jclepro.2022.130896
Abstract China has incorporated green technology innovation into its national development strategy based on its national conditions and development needs. The emission permit system is a typical environmental regulation, and one of the driving forces of green technology innovation. Research into the pollution discharge permits system is a key for improving environmental regulations. This study seeks to investigate the impact of pollution permits system on green innovation in China. Using econometric methods, we constructed and tested the model of green technology innovation incentives based on the emission permits system, and applied it to several Chinese counties and districts. The results revealed shortcomings in implementation of the emission permits system in various counties and districts. From a governmental perspective, this was due to poor standardization of management processes and insufficiently innovative supervisory methods. On the corporate side, problems included poor auditing of law enforcement plans, poor implementation of the ledger system, and a lack of disclosure of pollution data. We propose comprehensive strategies to address these issues. This paper explores the emission reduction potential of the pollution discharge permits system at the county level, in accordance with the Porter hypothesis, and provides reference data for the formulation and optimization of energy conservation and emission reduction policies. This will promote green development of the chemical and other industries, and green technology innovation in China.
Author Keywords Handling Editor; Zhifu Mi; Pollution permits system; Green innovation; Porter hypothesis; Heavy pollution industry
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI)
EID WOS:000784440600007
WoS Category Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences
Research Area Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology
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