“碳排放权交易”的治理效果与减排机制研究

董艳, 王昀, 孙款款, 孙晓华

科研管理 ›› 2024, Vol. 45 ›› Issue (10) : 160-171.

PDF(1219 KB)
PDF(1219 KB)
科研管理 ›› 2024, Vol. 45 ›› Issue (10) : 160-171. DOI: 10.19571/j.cnki.1000-2995.2024.10.016

“碳排放权交易”的治理效果与减排机制研究

作者信息 +

Research on the governance effect and emission reduction mechanism of the carbon emission trading system

Author information +
文章历史 +

摘要

面对“碳达峰、碳中和”的战略目标,强化绿色低碳发展的制度保障,是中国经济高质量发展的客观要求。本文基于因素分解框架,纳入能源结构因素,系统性地提出碳排放权交易驱动二氧化碳减排的理论机制。将碳排放权交易试点政策看作一项准自然实验,以2005—2017年30个省级面板数据为样本,运用双重差分方法实证检验了碳交易试点的治理效果与减排机制。研究发现:碳排放权交易的实施显著降低了试点地区的二氧化碳排放,运用工具变量法克服潜在的内生性问题和一系列稳健性检验之后,结论依然成立;机制分析表明,碳排放权交易的治理效果经由产业结构转型、能源结构优化和技术创新三条路径实现,并对二氧化硫、氮氧化物和烟粉尘等污染物产生了协同减排效应;异质性检验显示,碳排放权交易对环境执法严格、创新能力突出、人力资本水平高的地区,以及老工业基地和资源型地区的治理效果更为明显。本文的研究结论不仅为碳排放权交易制度的治理效果和减排机制提供了新的理论支撑及经验证据,而且为全国统一碳市场建立运行之后的制度体系完善与配套政策优化提供有益思路。

Abstract

In face of the strategic goal of “carbon peak and carbon neutral”, strengthening the institutional guarantee of green and low-carbon development is the objective requirement of China's high-quality economic development. Based on the factor decomposition framework and the energy structure factor, this paper systematically proposed the theoretical mechanism in which carbon emission trading system drives carbon dioxide emission reduction. Moreover, regarding the carbon emission trading pilot policy as a quasi-natural experiment, this paper empirically tested the governance effect and emission reduction mechanisms by using the difference-in-differences method and taking the panel data of 30 provincial-level regions from 2005 to 2017 as samples. The results showed that the implementation of the carbon emission trading system significantly reduces the carbon dioxide emissions in the pilot areas. The conclusion is still valid after using the instrumental variable method to overcome the potential endogenous problems and a series of robustness tests. The mechanism analysis showed that the governance effect is realized through three paths, namely industrial structure transformation, energy structure optimization, and technological innovation. Besides, it also has a synergistic emission reduction effect on sulfur dioxide, nitrogen oxide, and smoke and dust. The heterogeneity test showed that the impacts of the carbon emission trading system on the regions with strict environmental law enforcement, outstanding innovation ability, high human capital level, old industries-based and resource-based areas are more obvious. The conclusions will not only provide new empirical evidence for the governance effect and emission reduction mechanism of the carbon emission trading system, but also provide useful ideas for the improvement of the institutional system and the optimization of supporting policies after the establishment of the national unified carbon market.

关键词

碳排放权交易 / 产业结构 / 能源结构 / 技术创新

Key words

carbon emission trading / industrial structure / energy structure / technological innovation

引用本文

导出引用
董艳, 王昀, 孙款款, . “碳排放权交易”的治理效果与减排机制研究[J]. 科研管理. 2024, 45(10): 160-171 https://doi.org/10.19571/j.cnki.1000-2995.2024.10.016
Dong Yan, Wang Yun, Sun Kuankuan, et al. Research on the governance effect and emission reduction mechanism of the carbon emission trading system[J]. Science Research Management. 2024, 45(10): 160-171 https://doi.org/10.19571/j.cnki.1000-2995.2024.10.016
中图分类号: X196;F124.5   

参考文献

[1]
胡珺, 黄楠, 沈洪涛. 市场激励型环境规制可以推动企业技术创新吗?:基于中国碳排放权交易机制的自然实验[J]. 金融研究, 2020(1):171-189.
HU Jun, HUANG Nan, SHEN Hongtao. Can market-based environmental regulation promote enterprise technological innovation: A natural experiment based on China's carbon emission trading scheme[J]. Journal of Finance Research, 2020(1):171-189.
[2]
唐亮, 姜海锋, 郑军, 等. 生态法治建设如何引领绿色发展转型:新《环保法》实施对企业绿色技术创新的影响[J]. 中国软科学, 2023(8):43-53.
TANG Liang, JIANG Haifeng, ZHENG Jun, et al. How the ecological rule of law leads the green development transformation: Impact of the implementation of new environmental protection law on corporate green technology innovation[J]. China Soft Science, 2023(8):43-53.
[3]
任胜钢, 郑晶晶, 刘东华, 等. 排污权交易机制是否提高了企业全要素生产率:来自中国上市公司的证据[J]. 中国工业经济, 2019 (5):5-23.
REN Shenggang, ZHENG Jingjing, LIU Donghua, et al. Whether emissions trading mechanism improves total factor productivity of enterprises: Evidence from listed companies in China[J]. China Industrial Economics, 2019 (5):5-23.
[4]
史丹, 李少林. 排污权交易制度与能源利用效率:对地级及以上城市的测度与实证[J]. 中国工业经济, 2020 (9):7-25.
SHI Dan, LI Shaolin. Emission trading system and energy use efficiency: An empirical study of cities at prefecture level and above[J]. China Industrial Economics, 2020 (9):7-25.
[5]
宋德勇, 陈梁, 王班班. 环境权益交易如何实现减污降碳协同增效:理论与经验证据[J]. 数量经济技术经济研究, 2024, 41(2):171-192.
SONG Deyong, CHEN Liang, WANG Banban. How environmental rights trading achieves synergistic effect of reducing pollution and carbon: Theoretical and empirical evidence[J]. Journal of Quantitative and Technical Economics, 2024, 41(2):171-192.
[6]
涂正革, 谌仁俊. 排污权交易机制在中国能否实现波特效应?[J]. 经济研究, 2015, 50(7):160-173.
TU Zhengge, CHEN Renjun. Can the emissions trading scheme achieve Porter effect in China?[J]. Economic Research Journal, 2015, 50(7):160-173.
[7]
NAEGELE H, ZAKLAN A. Does the EU ETS cause carbon leakage in European manufacturing?[J]. Journal of Environmental Economics and Management, 2019,93:125-147.
[8]
LI G, NIU M, XIAO J, et al. The rebound effect of decarbonization in China's power sector under the carbon trading scheme[J]. Energy Policy, 2023,177:113543.
[9]
SHEN J, TANG P, ZENG H. Does China's carbon emission trading reduce carbon emissions? Evidence from listed firms[J]. Energy for Sustainable Development, 2020,59:120-129.
[10]
ZHOU B, ZHANG C, SONG H, et al. How does emission trading reduce China's carbon intensity? An exploration using a decomposition and difference-in-differences approach[J]. Science of the Total Environment, 2019,676:514-523.
[11]
LIN B, HUANG C. Analysis of emission reduction effects of carbon trading: Market mechanism or government intervention?[J]. Sustainable Production and Consumption, 2022,33:28-37.
[12]
SHAPIRO J S, WALKER R. Why is pollution from US manufacturing declining? The roles of environmental regulation, productivity, and trade[J]. American Economic Review, 2018, 108 (12):3814-3854.
Between 1990 and 2008, air pollution emissions from US manufacturing fell by 60 percent despite a substantial increase in manufacturing output. We show that these emissions reductions are primarily driven by within-product changes in emissions intensity rather than changes in output or in the composition of products produced. We then develop and estimate a quantitative model linking trade with the environment to better understand the economic forces driving these changes. Our estimates suggest that the implicit pollution tax that manufacturers face doubled between 1990 and 2008. These changes in environmental regulation, rather than changes in productivity and trade, account for most of the emissions reductions. (JEL F18, H23, L60, Q52, Q53, Q56, Q58)
[13]
ALBRIZIO S, KOZLU T, ZIPPERE V. Environmental policies and productivity growth: Evidence across industries and firms[J]. Journal of Environmental Economics and Management, 2017,81:209-226.
[14]
HE L Y, CHEN K X. Does China's regional emission trading scheme lead to carbon leakage? Evidence from conglomerates[J]. Energy Policy, 2023, 175:113481.
[15]
沈坤荣, 周力. 地方政府竞争、垂直型环境规制与污染回流效应[J]. 经济研究, 2020, 55(3):35-49.
SHEN Kunrong, ZHOU Li. Local government competition, vertical environmental regulation and pollution reflux effect[J]. Economic Research Journal, 2020, 55(3):35-49.
[16]
陈登科. 贸易壁垒下降与环境污染改善:来自中国企业污染数据的新证据[J]. 经济研究, 2020, 55(12):98-114.
CHEN Dengke. Reduction of trade barriers and improvement of environmental pollution:New evidence from pollution data of Chinese enterprises[J]. Economic Research Journal, 2020, 55(12):98-114.
[17]
ÖZDEMIR Ö, HOBBS B F, VAN HOUT M, et al. Capacity vs energy subsidies for promoting renewable investment: Benefits and costs for the EU power market[J]. Energy Policy, 2020,137:111166.
[18]
米莉, 陶娅, 樊婷. 环境规制与企业行为动态博弈对经营绩效的影响机理:基于北方稀土的纵向案例研究[J]. 管理案例研究与评论, 2020, 13(5):602-616.
MI Li, TAO Ya, FAN Ting. The influence mechanism of dynamic game between environmental regulation and enterprise behavior on business performance:A longitudinal case study based on rare earths in northern China[J]. Management Case Studies and Reviews, 2020, 13(5):602-616.
[19]
曾萍, 肖静. 长江经济带发展战略能否提升地区绿色创新能力:基于准自然实验的证据[J]. 统计研究, 2023, 40(6):91-104.
ZENG Ping, XIAO Jing. Whether the development strategy of the Yangtze River Economic Belt can improve the regional green innovation ability:Evidence based on quasi-natural experiments[J]. Journal of Statistical Research, 2023, 40(6):91-104.
[20]
SHAN Y, GUAN D, ZHE H, et al. China CO2 emission accounts 1997-2015[J]. Scientific Data, 2018, 5 (1):1-14.
In the original version of the Data Descriptor the surname of author Hesham Elhalawani was misspelled. This has now been corrected in the HTML and PDF versions.
[21]
SHAN Y, HUANG Q, GUAN D, et al. China CO2 emission accounts 2016-2017[J]. Scientific Data, 2020, 7(1):54.
Despite China’s emissions having plateaued in 2013, it is still the world’s leading energy consumer and CO2 emitter, accounting for approximately 30% of global emissions. Detailed CO2 emission inventories by energy and sector have great significance to China’s carbon policies as well as to achieving global climate change mitigation targets. This study constructs the most up-to-date CO2 emission inventories for China and its 30 provinces, as well as their energy inventories for the years 2016 and 2017. The newly compiled inventories provide key updates and supplements to our previous emission dataset for 1997–2015. Emissions are calculated based on IPCC (Intergovernmental Panel on Climate Change) administrative territorial scope that covers all anthropogenic emissions generated within an administrative boundary due to energy consumption (i.e. energy-related emissions from 17 fossil fuel types) and industrial production (i.e. process-related emissions from cement production). The inventories are constructed for 47 economic sectors consistent with the national economic accounting system. The data can be used as inputs to climate and integrated assessment models and for analysis of emission patterns of China and its regions.
[22]
冉戎, 董迪, 胡轩, 等. 抑制或促进:企业社会责任与绿色创新绩效[J]. 科研管理, 2023, 44(6):95-106.
RAN Rong, DONG Di, HU Xuan, et al. Inhibition or promotion: Corporate social responsibility and green innovation performance[J]. Science Research Management, 2023, 44(6):95-106.
[23]
余泳泽, 孙鹏博, 宣烨. 地方政府环境目标约束是否影响了产业转型升级?[J]. 经济研究, 2020, 55(8):57-72.
YU Yongze, SUN Pengbo, XUAN Ye. Do local government environmental target constraints affect industrial transformation and upgrading?[J]. Economic Research Journal, 2020, 55(8):57-72.
[24]
刘梓毓, 杜玉申. 基于PSM-DID模型的高新技术企业认定效果评价[J]. 科研管理, 2023, 44(4):85-92.
LIU Ziyu, DU Yushen. Evaluation of recognition effect of high-tech enterprises based on PSM-DID model[J]. Science Research Management, 2023, 44(4):85-92.
[25]
LI X, XU H. The energy-conservation and emission-reduction paths of industrial sectors:Evidence from China's 35 industrial sectors[J]. Energy Economics, 2020,86:104628.
[26]
QIAN H, XU S, CAO J, et al. Air pollution reduction and climate co-benefits in China's industries[J]. Nature Sustainability, 2021,4:417-425.

基金

国家自然科学基金青年项目:“能源错配下中国工业绿色升级的演化路径、机制设计与政策优化”(72004018)
国家自然科学基金青年项目:“能源错配下中国工业绿色升级的演化路径、机制设计与政策优化”(2021.01—2023.12)
国家自然科学基金面上项目:“面向突破性技术的创新生态结构优化与治理体系设计研究”(72074043)
国家自然科学基金面上项目:“面向突破性技术的创新生态结构优化与治理体系设计研究”(2021.01—2024.12)

PDF(1219 KB)

Accesses

Citation

Detail

段落导航
相关文章

/