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Effect of Environmental Regulation on the Transformation of Industrial Enterprises Based on DID model

Published: 26 March 2024 Publication History

Abstract

This paper adopts the DID method to test the impact of environmental regulation on the transformation of industrial base enterprises based on the energy saving and emission reduction target responsibility system of China's Eleventh Five-Year Plan, with China's old industrial bases as the research object. The results of the benchmark regression show that the policy hinders the transformation and development of industrial enterprises in the industrial base. The results of the event study method show that the DID method is reasonable. This paper uses the DOP decomposition method to examine the impact mechanism, and the results show that policies affect firm transformation mainly by influencing resource allocation in the industrial sector and the entry of high-productivity firms. Our study provides empirical evidence for policy formulation for the transformation and development of industrial cities in developing countries.

References

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EBIMCS '23: Proceedings of the 2023 6th International Conference on E-Business, Information Management and Computer Science
December 2023
265 pages
ISBN:9798400709333
DOI:10.1145/3644479
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Published: 26 March 2024

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Author Tags

  1. DID method
  2. DOP Decomposition
  3. Environmental regulation
  4. Event study method
  5. Transformation of enterprises

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Overall Acceptance Rate 143 of 708 submissions, 20%

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