An Analysis of the Impact of the Emissions Trading System on the Green Total Factor Productivity Based on the Spatial Difference-in-Differences Approach
The Case of China
Bibliographic Data
| ID | 15470927 |
|---|---|
| Authors | Susheng Wang (0000-0002-3305-8132, Shenzhen Institute of Information Technology), Gang Chen (0000-0002-8385-5965, Shenzhen Institute of Information Technology, corresponding author), Xue Han (0000-0002-1156-4077, Shenzhen Institute of Information Technology) |
| Year | 2021 |
| Volume | 18 |
| Issue | 17 |
| Pages | 9040-9040 |
| Publication date | 2021-08-27 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph18179040 |
| PMID | 34501629 |
| OpenAlex | W3198262671 |
| Language | EN |
| Citations received | 11 |
| References cited | 56 |
How to effectively identify the spatial effect of the emissions trading system(ETS) on urban green total factor productivity(GTFP) generated through the linkage of economic factors between cities is a necessary part of scientifically evaluating the effect of ETS policy in emerging- market countries. This study aims to examine the spatial effect, mechanism, and heterogeneity of the ETS on urban GTFP based on the panel data of 281 cities from 2004 to 2017 in China, applying spatial difference-in-differences(DID) Durbin model (SDID-SDM) with multidimensional fixed effect (FE). The results show that ETS significantly improves the GTFP of the pilot cities, produces a spatial spillover effect and the results are robust to the placebo test, propensity score matching SDID (PSM-SDID) test, and Carbon-ETS interference test. Further analysis shows that the policy effect is mainly driven by improving energy efficiency, promoting green innovation, and optimizing the industrial structure. In addition, we found that ETS performs better in regions with a high degree of marketization, strong environmental law enforcement, and a low proportion of coal consumption. In general, the identification method of this study can be used as a scientific reference for conducting similar research in other emerging countries
China · Difference in differences · Econometrics · Economic growth · Economics · Environmental economics · Geography · Greenhouse gas · Macroeconomics · Marketization · Panel data · Porter hypothesis · Productivity · Spillover effect · Total factor productivity · Climate Change Policy and Economics · Energy, Environment, Economic Growth · Environmental Impact and Sustainability
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Quantifying the Effectiveness of Environmental Regulations on Green Total Factor Productivity
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How Do Chinese National Scenic Areas Affect Tourism Economic Development? The Moderating Effect of Time-Limited Rectification
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Nexus of digital progress and green performance among Chinese regions
Essay
Does command-and-control regulation promote green innovation performance? Evidence from China's industrial enterprises
Law, finance, and economic growth in China
Does central supervision enhance local environmental enforcement? Quasi-experimental evidence from China
Environmental policies and productivity growth
Can carbon emission trading scheme achieve energy conservation and emission reduction? Evidence from the industrial sector in China
Environmental regulation and green productivity growth
The dynamic relationship between environmental pollution, economic development and public health
The Heterogeneous Effects of Different Environmental Policy Instruments on Green Technology Innovation
Environmental regulation, carbon emissions and green total factor productivity
Gains of integrating sector-wise pollution regulation
The evolution of China’s emission trading mechanisms
Does environmental regulation drive away inbound foreign direct investment? Evidence from a quasi-natural experiment in China
The Paradoxes of Environmental Policy and Resource Management in Reform-Era China
| Unique citing works | 11 |
|---|---|
| Citations per year | 2,2 |
| Citation span | 2021 - 2024 (4) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 11 |