碳排放权交易试点政策的减排效应分析——基于碳排放量和碳排放效率的视角

蔡俊, 骆丹娜, 萧莘玥

系统工程理论与实践 ›› 2024, Vol. 44 ›› Issue (9) : 2838-2853.

PDF(1435 KB)
PDF(1435 KB)
系统工程理论与实践 ›› 2024, Vol. 44 ›› Issue (9) : 2838-2853. DOI: 10.12011/SETP2023-0830
论文

碳排放权交易试点政策的减排效应分析——基于碳排放量和碳排放效率的视角

    蔡俊1, 骆丹娜2, 萧莘玥3
作者信息 +

Analysis of the impact of carbon emission trading on carbon emissions in pilot districts: Carbon emission volume and effciency perspectives

    CAI Jun1, LUO Danna2, XIAO Shenyue3
Author information +
文章历史 +

摘要

准确刻画碳排放效率和正确评价碳交易政策对实现“双碳”目标具有重要的理论和实践意义.本文基于改进的随机前沿模型和双重差分模型,收集了2003-2019年30个省(市)的能源消耗及经济投入产出的面板数据,并测算了碳排放权交易政策对试点省份碳排放量和碳排放效率的影响及作用机理.实证研究发现,碳排放权交易政策可以降低试点地区4.4%的碳排放量,提高试点地区10.4%的碳排放效率,有助于推动实现“双碳”目标.机制分析表明,碳交易政策通过降低能源消耗量、调整能源结构和限制重点行业(如水泥)产能来减少碳排放量和提高碳排放效率;然而该政策并没有显著促进企业低碳技术的研发.异质性分析结果显示,在碳排放权试点政策的实施中,交易价格具有调节作用,即价格越高,减碳效果越显著.这些发现为全国范围内推广碳排放权交易政策提供了重要启示,对实现“双碳”目标具有较高的参考价值.

Abstract

Accurately depicting carbon emission efficiency and correctly evaluating the carbon trading policy has important theoretical and practical significance for achieving the "dual carbon" target. Based on an improved stochastic frontier model and a difference-in-difference model, this paper collected panel data on energy consumption and economic input-output for 30 provinces (cities) from 2003 to 2019, and calculated the impact and mechanism of the carbon emission trading policy on carbon emissions and carbon emission efficiency in pilot provinces. Empirical research found that the carbon emission trading policy can reduce carbon emissions by 4.4% in pilot areas, and increase carbon emission efficiency by 10.4%, which helps to promote the goal of achieving "carbon neutrality." Mechanism analysis shows that the carbon trading policy reduces carbon emissions and improves carbon emission efficiency by reducing energy consumption, adjusting energy structure, and limiting production capacity of key industries such as cement; however, the policy does not significantly promote the development of low-carbon technology. Heterogeneity analysis results show that in the implementation of the carbon emission trading policy, the trading price has an adjusting effect, that is, the higher the price, the more significant the carbon reduction effect. These findings provide important insights for promoting the national carbon emission trading policy and have high reference value for achieving the "dual carbon" target.

关键词

碳交易市场试点 / 碳减排效应 / 碳排放效率 / 随机前沿分析 / 双重差分模型

Key words

pilot market of carbon trading / carbon reduction effect / carbon emission efficiency / stochastic frontier analysis / difference-in-differences method

引用本文

导出引用
蔡俊 , 骆丹娜 , 萧莘玥. 碳排放权交易试点政策的减排效应分析——基于碳排放量和碳排放效率的视角. 系统工程理论与实践, 2024, 44(9): 2838-2853 https://doi.org/10.12011/SETP2023-0830
CAI Jun , LUO Danna , XIAO Shenyue. Analysis of the impact of carbon emission trading on carbon emissions in pilot districts: Carbon emission volume and effciency perspectives. Systems Engineering - Theory & Practice, 2024, 44(9): 2838-2853 https://doi.org/10.12011/SETP2023-0830
中图分类号: F205    F272.5    F426   

参考文献

[1] 钱浩祺,吴力波,任飞州.从"鞭打快牛"到效率驱动:中国区域间碳排放权分配机制研究[J].经济研究, 2019, 54(3):86-102. Qian H Q, Wu L B, Ren F Z. From "Whipping the Fast Cow" to effciency drive:Research on the allocation mechanism of carbon emission rights among China's regions[J]. Economic Research Journal, 2019, 54(3):86-102.
[2] 吴茵茵,齐杰,鲜琴,等.中国碳市场的碳减排效应研究——基于市场机制与行政干预的协同作用视角[J].中国工业经济, 2021(8):114-132. Wu Y Y, Qi J, Xian Q, etal. Research on the carbon emission reduction effect of China's carbon market-Based on the synergistic perspective of market mechanism and administrative intervention[J]. China Industrial Economics, 2021(8):114-132.
[3] Aigner D J, Lovell C A K, Schmidt, P. Formulation and estimation of stochastic frontier production functions[J]. Journal of Econometrics, 1977, 6(1):21-37.
[4] Meeusen M, Broeck J. Effciency estimation from Cobb-Douglas production functions with composed error[J]. International Economic Review, 1977, 18:435-444.
[5] 陈诗一.能源消耗、二氧化碳排放与中国工业的可持续发展[J].经济研究, 2009(4):41-55. Chen S Y. Energy consumption, carbon dioxide emissions and the sustainable development of China's industry[J]. Economic Research Journal, 2009(4):41-55.
[6] 谌莹,张捷.碳排放、绿色全要素生产率和经济增长[J].数量经济技术经济研究, 2016, 33(8):47-63. Shen Y, Zhang J. Carbon emissions, green total factor productivity and economic growth[J]. Quantitative Economics and Technical Economics Research, 2016, 33(8):47-63.
[7] 张伟,朱启贵,李汉文.能源使用、碳排放与我国全要素碳减排效率[J].经济研究, 2013, 48(10):138-150. Zhang W, Zhu Q G, Li H W. Energy use, carbon emissions and my country's total factor carbon emission reduction effciency[J]. Economic Research Journal, 2013, 48(10):138-150.
[8] 刘津,李平.智慧城市建设对工业生态效率影响的实证研究——以中国地级市为例[J].生态经济, 2020, 36(10):92-97. Liu J, Li P. An empirical study on the impact of smart city construction on industrial ecological effciency-A case study of China's prefectural-level cities[J]. Ecological Economy, 2020, 36(10):92-97.
[9] 李建豹,黄贤金,揣小伟,等.长三角地区碳排放效率时空特征及影响因素分析[J].长江流域资源与环境, 2020, 29(7):1486-1496. Li J B, Huang X J, Chuai X W, et al. Analysis on spatiotemporal characteristics and influencing factors of carbon emission effciency in the yangtze river delta region[J]. Resources and Environment of the Yangtze River Basin, 2020, 29(7):1486-1496.
[10] 田云,王梦晨.湖北省农业碳排放效率时空差异及影响因素[J].中国农业科学, 2020, 53(24):5063-5072. Tian Y, Wang M C. Spatio-temporal differences and influencing factors of agricultural carbon emission effciency in Hubei province[J]. Chinese Agricultural Sciences, 2020, 53(24):5063-5072.
[11] 于克美,武剑红,李红昌.我国铁路运输业碳排放效率与影响因素分析[J].技术经济, 2020, 39(11):70-86. Yu K M, Wu J H, Li H C. Analysis of carbon emission effciency and influencing factors of my country's railway transportation industry[J]. Technological Economy, 2020, 39(11):70-86.
[12] 孙慧,张志强,周锐.基于随机前沿模型的中国西部地区碳排放效率评价研究[J].工业技术经济, 2013, 43(12):71-77. Sun H, Zhang Z Q, Zhou R. Research on the evaluation of carbon emission effciency in western China based on the stochastic frontier model[J]. Industrial Technology Economics, 2013, 43(12):71-77.
[13] 平智毅,吴学兵,吴雪莲.长江经济带碳排放效率的时空差异及其影响因素分析[J].生态经济, 2020, 36(3):31-37. Ping Z Y, Wu X B, Wu X L. Spatiotemporal differences in carbon emission effciency of the yangtze river economic belt and analysis of its influencing factors[J]. Ecological Economy, 2020, 36(3):31-37.
[14] Hahn W, Stavins R N. The Effect of allowance allocations on cap-and-trade system performance[J]. The Journal of Law&Economics, 2011, 54(4):267-294.
[15] 朱凡,李天琦.中国碳交易市场减排绩效的实证研究[J].税务与经济, 2021(3):54-62. Zhu F, Li T Q. An empirical study on emission reduction performance of China's carbon trading market[J]. Taxation and Economics, 2021(3):54-62.
[16] 张跃军,王霞.中国碳交易政策对可持续经济福利的影响研究[J].系统工程理论与实践, 2023, 43(2):309-320. Zhang Y J, Wang X. The impact of carbon emissions trading scheme on sustainable economic welfare in China[J]. Systems Engineering-Theory&Practice, 2023, 43(2):309-320.
[17] Chen X, Xu J. Carbon trading scheme in the People's republic of China:Evaluating the performance of seven pilot projects[J]. Asian Development Review, 2018, 35(2):131-152.
[18] 姬新龙,杨钊.基于PSM-DID和SCM的碳交易减排效应及地区差异分析[J].统计与决策, 2021, 37(17):154-158. Ji X L, Yang Z. Analysis of carbon trading emission reduction effects and regional differences based on PSM-DID and SCM[J]. Statistics and Decision Making, 2021, 37(17):154-158.
[19] 沈洪涛,黄楠,刘浪.碳排放权交易的微观效果及机制研究[J].厦门大学学报(哲学社会科学版), 2017(1):13-22. Shen H T, Huang N, Liu L. Research on the micro effects and mechanism of carbon emissions trading[J]. Journal of Xiamen University (Philosophy and Social Sciences Edition), 2017(1):13-22.
[20] 沈洪涛,黄楠.碳排放权交易机制能提高企业价值吗[J].财贸经济, 2019, 40(1):144-161. Shen H T, Huang N. Can carbon emissions trading mechanism improve enterprise value?[J]. Finance and Trade Economics, 2019, 40(1):144-161.
[21] 张婕,王凯琪,张云.碳排放权交易机制的减排效果——基于低碳技术创新的中介效应[J].软科学, 2022, 36(5):102-108. Zhang J, Wang K Q, Zhang Y. The emission reduction effect of carbon emissions trading mechanism-Based on the intermediary effect of low-carbon technology innovation[J]. Soft Science, 2022, 36(5):102-108.
[22] 胡珺,方祺,龙文滨.碳排放规制、企业减排激励与全要素生产率——基于中国碳排放权交易机制的自然实验.经济研究[J], 2023, 58(4):77-94. Hu J, Fang Q, Long W B. Carbon emission regulations, corporate emission reduction incentives and total factor productivity-A natural experiment based on China's carbon emission trading mechanism[J]. Economic Research Journal, 2023, 58(4):77-94.
[23] 范丹,付嘉为,王维国.碳排放权交易如何影响企业全要素生产率?[J].系统工程理论与实践, 2022, 42(3):591-603. Fan D, Fu J W, Wang W G. How does carbon emission trading influence firm's total factor productivity?[J]. Systems Engineering-Theory&Practice, 2022, 42(3):591-603.
[24] Greene W. Reconsidering heterogeneity in panel data estimators of the stochastic frontier model[J]. Journal of Econometrics, 2005, 126:269-303.
[25] Belotti F, Ilardi G. Consistent inference in fixed-effects stochastic frontier models[J]. Journal of Econometrics, 2018, 202:161-177.
[26] Jondrow J, Lovell C K, Materov I S, et al. On the estimation of technical ineffciency in the stochastic frontier production function model[J]. Journal of Econometrics, 1982, 19(2-3):233-238.
[27] Battese G E, Coelli T J. Prediction of firm-level technical effciencies with a generalized frontier production function and panel data[J]. Journal of Econometrics, 1998, 38:387-399.
[28] 刘楠峰,范莉莉,李树良,等.碳交易制度对企业碳减排绩效影响研究[J].系统工程, 2022, 40(3):13-23. Liu N F, Fan L L, Li S L, et al. Research on the impact of carbon trading system on enterprise carbon emission reduction performance[J]. System Engineering, 2022, 40(3):13-23.
[29] McGavock T. Here waits the bride?The effect of Ethiopia's child marriage law[J]. Journal of Development Economics, 2021, 149:102580.
[30] 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):5-23. Shi D, Li S L. Emissions trading system and energy utilization effciency-Measurement and demonstration of cities at prefectural level and above[J]. China Industrial Economics, 2020(9):5-23.
[31] Callaway B, Sant'Anna P. Difference-in-differences with multiple time periods[J]. Journal of Econometrics, 2021, 225(2):200-230.
[32] Sant'Anna, Pedro H, C, Zhao J. Doubly robust difference-in-differences estimators[J]. Journal of Econometrics, 2020, 219(1):101-122.
[33] Baker A D, Larcker C Y. How much should we trust staggered difference-in-differences estimates?[J]. Journal of Financial Economics, 2022, 144(2):370-395.
[34] Fernando R, Naqvi A, Sant'Anna P. Drdid:Doubly robust difference-in-differences estimators in Stata[R]. Working Paper, 2021.
[35] 权小锋,刘佳伟,孙雅倩.设立企业博士后工作站促进技术创新吗——基于中国上市公司的经验证据[J].中国工业经济, 2020,(9):175-192. Quan X F, Liu J W, Sun Y Q. Does the establishment of corporate postdoctoral workstations promote technological innovation-Based on empirical evidence from Chinese listed companies[J]. China Industrial Economics, 2020,(9):175-192.
[36] 权小锋,刘佳伟,孙雅倩.设立企业博士后工作站促进技术创新吗——基于中国上市公司的经验证据[J].中国工业经济, 2020,(9):175-192. Quan X F, Liu J W, Sun Y Q. Does the establishment of corporate postdoctoral workstations promote technological innovation-Based on empirical evidence from Chinese listed companies[J]. China Industrial Economics, 2020,(9):175-192.
[37] 斯丽娟,曹昊煜.绿色信贷政策能够改善企业环境社会责任吗-基于外部约束和内部关注的视角[J].中国工业经济, 2022,(4):137-155. Si L J, Cao H Y. Can Green credit policy improve corporate environmental social responsibility——Based on the perspective of external constraints and internal concerns[J]. China Industrial Economics, 2022,(4):137-155.
[38] 张希良,张达,余润心.中国特色全国碳市场设计理论与实践[J].管理世界, 2021, 37(8):80-95. Zhang X L, Zhang D, Yu R X. Design theory and practice of national carbon market with Chinese characteristics[J]. Management World, 2021, 37(8):80-95.

基金

中央高校基本科研业务费(2023WKYXQN041)
PDF(1435 KB)

Accesses

Citation

Detail

段落导航
相关文章

/