{"title":"Will carbon emission trading policy improve the synergistic reduction efficiency of pollution and carbon? Evidence from 216 Chinese cities","authors":"Tingting Bai, Yong Qi, Zihao Li, Dong Xu","doi":"10.1002/mde.4014","DOIUrl":null,"url":null,"abstract":"Abstract Based on the panel data of 216 Chinese cities from 2008 to 2018, the synergistic reduction efficiency of pollution and carbon (SREPC) was calculated using the super‐efficiency slack‐based measure model. Differences‐in‐differences (DID), propensity score matching (PSM)–DID, and spatial‐DID were adopted to study the impact of the carbon emission trading (CET) policy on SREPC. The study results show that SREPC was not improved overall, with an unbalanced development characteristic of high efficiency in the east and low efficiency in the west. The Meta‐frontier results show that there were indeed significant differences between pilot and non‐pilot cities before and after the implementation of the CET policy. Mechanism tests reveal that CET promoted SREPC by improving energy efficiency and optimizing industrial structures. Spatial analysis shows that CET had spatial spillover effects and decreased SREPC in neighboring cities. These reduction effects occurred in neighboring non‐pilot cities and showed an inverted U‐shaped relationship with increasing geographical distance, particularly significant within 500–600 km. Inverse data envelopment analysis shows that CET can utilize the synergistic reduction potential of pollution and carbon.","PeriodicalId":18186,"journal":{"name":"Managerial and Decision Economics","volume":"40 1","pages":"0"},"PeriodicalIF":2.5000,"publicationDate":"2023-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Managerial and Decision Economics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/mde.4014","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract Based on the panel data of 216 Chinese cities from 2008 to 2018, the synergistic reduction efficiency of pollution and carbon (SREPC) was calculated using the super‐efficiency slack‐based measure model. Differences‐in‐differences (DID), propensity score matching (PSM)–DID, and spatial‐DID were adopted to study the impact of the carbon emission trading (CET) policy on SREPC. The study results show that SREPC was not improved overall, with an unbalanced development characteristic of high efficiency in the east and low efficiency in the west. The Meta‐frontier results show that there were indeed significant differences between pilot and non‐pilot cities before and after the implementation of the CET policy. Mechanism tests reveal that CET promoted SREPC by improving energy efficiency and optimizing industrial structures. Spatial analysis shows that CET had spatial spillover effects and decreased SREPC in neighboring cities. These reduction effects occurred in neighboring non‐pilot cities and showed an inverted U‐shaped relationship with increasing geographical distance, particularly significant within 500–600 km. Inverse data envelopment analysis shows that CET can utilize the synergistic reduction potential of pollution and carbon.
期刊介绍:
Managerial and Decision Economics will publish articles applying economic reasoning to managerial decision-making and management strategy.Management strategy concerns practical decisions that managers face about how to compete, how to succeed, and how to organize to achieve their goals. Economic thinking and analysis provides a critical foundation for strategic decision-making across a variety of dimensions. For example, economic insights may help in determining which activities to outsource and which to perfom internally. They can help unravel questions regarding what drives performance differences among firms and what allows these differences to persist. They can contribute to an appreciation of how industries, organizations, and capabilities evolve.