• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

中国碳交易市场的长期影响:来自能源密集型产业的证据。

The long term effects of carbon trading markets in China: Evidence from energy intensive industries.

机构信息

State Key Laboratory of Pollution Control & Resource Reuse, School of Environment, Nanjing University, Jiangsu 210023, PR China.

Research Center for Energy Economics & Low-Carbon Development, Minjiang University, Fuzhou 350108; China Institute for Studies in Energy Policy, Xiamen University, Fujian 361005, PR China.

出版信息

Sci Total Environ. 2022 Feb 1;806(Pt 1):150311. doi: 10.1016/j.scitotenv.2021.150311. Epub 2021 Sep 14.

DOI:10.1016/j.scitotenv.2021.150311
PMID:34583066
Abstract

Carbon trading scheme is an instrument adopted in many countries of the world to reduce CO emissions. As an important way of environmental regulation, whether it can reduce the emissions and promote the economic development at the same time needs further investigation. This paper tests whether the Porter Hypothesis is true in China's carbon emissions trading scheme for energy intensive industries. Using provincial-level, industrial-level and firm-level data, we construct a DEA model that can incorporate the emissions trading behavior among different decision making units to show that the carbon emissions trading scheme can only reduce the CO emissions but cannot increase the output significantly. That is, the carbon intensity is decreased. The reason is that the carbon trading scheme is conducive to the improvement of the production efficiency, and firm-level research and development input increases after carbon trading scheme. These findings are robust to several robustness checks. Our paper demonstrates the effectiveness of the carbon emissions trading scheme in reducing emissions. An external technological breakthrough is needed if the win-win situation of reducing CO emissions and promoting economic development simultaneously is wanted to be achieved.

摘要

碳排放交易计划是世界上许多国家采用的减少二氧化碳排放的工具。作为一种重要的环境监管方式,它是否能同时减少排放并促进经济发展需要进一步研究。本文检验了波特假说在中国能源密集型产业碳排放交易计划中的适用性。我们利用省级、产业级和企业级数据,构建了一个可以纳入不同决策单元之间碳排放交易行为的 DEA 模型,结果表明,碳排放交易计划只能显著降低二氧化碳排放,而不能显著提高产出。也就是说,碳强度降低了。原因是碳交易计划有利于提高生产效率,碳交易计划后企业层面的研发投入增加。这些发现经过多次稳健性检验都是稳健的。本文证明了碳排放交易计划在减少排放方面的有效性。如果要实现同时减少二氧化碳排放和促进经济发展的双赢局面,就需要外部技术突破。

相似文献

1
The long term effects of carbon trading markets in China: Evidence from energy intensive industries.中国碳交易市场的长期影响:来自能源密集型产业的证据。
Sci Total Environ. 2022 Feb 1;806(Pt 1):150311. doi: 10.1016/j.scitotenv.2021.150311. Epub 2021 Sep 14.
2
China's pilot emissions trading schemes and competitiveness: An empirical analysis of the provincial industrial sub-sectors.中国的试点排放交易计划与竞争力:省级工业子行业的实证分析。
J Environ Manage. 2020 Mar 15;258:109997. doi: 10.1016/j.jenvman.2019.109997. Epub 2020 Jan 7.
3
Does Emission Trading Boost Carbon Productivity? Evidence from China's Pilot Emission Trading Scheme.排放交易是否能提高碳生产力?来自中国试点排放交易计划的证据。
Int J Environ Res Public Health. 2020 Jul 30;17(15):5522. doi: 10.3390/ijerph17155522.
4
Co-Benefits of China's Carbon Emissions Trading Scheme: Impact Mechanism and Spillover Effect.中国碳排放权交易计划的协同效益:影响机制与溢出效应。
Int J Environ Res Public Health. 2023 Feb 21;20(5):3792. doi: 10.3390/ijerph20053792.
5
Migration of manufacturing industries and transfer of carbon emissions embodied in trade: empirical evidence from China and Thailand.制造业迁移与贸易中隐含的碳排放转移:来自中国和泰国的经验证据。
Environ Sci Pollut Res Int. 2023 Feb;30(10):25037-25049. doi: 10.1007/s11356-021-14674-z. Epub 2021 Jun 5.
6
Is Emissions Trading Scheme (ETS) an Effective Market-Incentivized Environmental Regulation Policy? Evidence from China's Eight ETS Pilots.碳排放交易体系(ETS)是一种有效的市场激励型环境监管政策吗?来自中国八个碳排放交易试点的证据。
Int J Environ Res Public Health. 2022 Mar 8;19(6):3177. doi: 10.3390/ijerph19063177.
7
The effectiveness and heterogeneity of carbon emissions trading scheme in China.中国碳排放交易计划的有效性和异质性。
Environ Sci Pollut Res Int. 2021 Apr;28(14):17306-17318. doi: 10.1007/s11356-020-12182-0. Epub 2021 Jan 4.
8
Evaluation of carbon emission reduction effect and porter effect of China's carbon trading policy.中国碳交易政策的碳排放减少效应与波特效应评估
Environ Sci Pollut Res Int. 2023 Apr;30(16):46527-46546. doi: 10.1007/s11356-023-25593-6. Epub 2023 Jan 31.
9
Is the "pollution haven hypothesis" valid for China's carbon trading system? A re-examination based on inter-provincial carbon emission transfer.“污染避难所假说”在中国碳交易体系中是否成立?基于省际碳排放转移的再检验。
Environ Sci Pollut Res Int. 2022 Jun;29(26):40110-40122. doi: 10.1007/s11356-022-18737-7. Epub 2022 Feb 3.
10
Emission reductions, industrial competitiveness, and spillover effects under China's regional emission trading systems: Evidence from the iron and steel sector.中国区域排放交易体系下的减排、产业竞争力和溢出效应:来自钢铁行业的证据。
J Environ Manage. 2023 Oct 15;344:118481. doi: 10.1016/j.jenvman.2023.118481. Epub 2023 Jun 24.

引用本文的文献

1
Can multi-agent cooperation promote the ecological value realization of blue carbon in marine ranching?多主体合作能否促进海洋牧场中蓝碳的生态价值实现?
Heliyon. 2023 Jul 22;9(8):e18572. doi: 10.1016/j.heliyon.2023.e18572. eCollection 2023 Aug.
2
Carbon emission quota allocation of high energy consumption industries in undeveloped areas - A case study of Inner Mongolia Autonomous Region.欠发达地区高耗能行业碳排放配额分配——以内蒙古自治区为例
Heliyon. 2022 Oct 27;8(11):e11241. doi: 10.1016/j.heliyon.2022.e11241. eCollection 2022 Nov.
3
How Does Environmental Regulation Affect the Green Growth of China's Citrus Industry? The Mediating Role of Technological Innovation.
环境规制对中国柑橘产业绿色增长的影响如何?技术创新的中介作用。
Int J Environ Res Public Health. 2022 Oct 14;19(20):13234. doi: 10.3390/ijerph192013234.
4
Projections in Various Scenarios and the Impact of Economy, Population, and Technology for Regional Emission Peak and Carbon Neutrality in China.中国区域排放峰值和碳中和的各种情景预测及经济、人口和技术影响
Int J Environ Res Public Health. 2022 Sep 25;19(19):12126. doi: 10.3390/ijerph191912126.