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Regional differences in the coupling relationship between Chinese economic growth and carbon emissions based on decoupling index and LMDI

  • ZHOU Yannan ,
  • YANG Yu ,
  • CHENG Bo ,
  • HUANG Jixia
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  • 1. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
    2. Key Laboratory of Regional Sustainable Development Analysis and Simulation of CAS, Beijing 100101, China;
    3. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China;
    4. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China;
    5. Key Laboratory of Silviculture and Conservation of Ministry of Education, Beijing Forestry University, Beijing 100083, China

Received date: 2018-07-25

  Revised date: 2018-11-30

  Online published: 2020-05-15

Abstract

To investigate regional differences in the coupling relationship between Chinese economic growth and carbon emissions, we selected 29 provinces and regions in China as the research units and developed the decoupling index to study the dynamic coupling relationship. Further, we analyzed the changes in carbon emissions in different regions from the economic scale growth, structural transformation, and technological upgrading aspects using the method of LMDI (logarithmic mean Divisia index). The results of the study for the period from 1990 to 2014 are given as follows. 1) With the ever increasing of Chinese economy as well as carbon emissions, the carbon emission intensity reduced, showing a trend of "green transition" as a whole. 2) The 29 provinces in China were mainly in the absolute decoupling, relative decoupling, and expansive negative decoupling states, and the coupling relationship between economic development and carbon emissions evolved with time passing. 3) In the course of Chinese economic development, the growth of economic scale drove the growth of carbon emissions, and the effects of technology progress and industrial structure varied from region to region. In different periods, the dominant effects of carbon emissions in various regions of China were also different. Economic scale effect and technical effect were the dominant effect, while the structure effect had the least impact.

Cite this article

ZHOU Yannan , YANG Yu , CHENG Bo , HUANG Jixia . Regional differences in the coupling relationship between Chinese economic growth and carbon emissions based on decoupling index and LMDI[J]. Journal of University of Chinese Academy of Sciences, 2020 , 37(3) : 295 -307 . DOI: 10.7523/j.issn.2095-6134.2020.03.002

References

[1] Wang S, Fang C, Wang Y, et al. Quantifying the relationship between urban development intensity and carbon dioxide emissions using a panel data analysis[J]. Ecological Indicators, 2015, 49:121-131.
[2] Lin B Q, Jiang Z J. Forecast of China's environmental Kuznets curve for CO2 emission and factors affecting China's CO2 emission[J]. Management World, 2009, 4:27-36.
[3] Liu Y, Yang Z, Wu W. Assessing the impact of population, income and technology on energy consumption and industrial pollutant emissions in China[J]. Applied Energy, 2015, 155(155):904-917.
[4] Liu Z, Guan D, Crawfordbrown D, et al. Energy policy:a low-carbon road map for China[J]. Nature, 2013, 500(7461):143-145.
[5] Li A, Zhang A, Zhou Y, et al. Decomposition analysis of factors affecting carbon dioxide emissions across provinces in China[J]. Journal of Cleaner Production, 2017, 141:1428-1444.
[6] Zhang Y J, Hao J F, Song J. The CO2 emission efficiency, reduction potential and spatial clustering in China's industry:evidence from the regional level[J]. Applied Energy, 2016, 174:213-223.
[7] Zhu B, Wang K, Chevallier J, et al. Can China achieve its carbon intensity target by 2020 while sustaining economic growth?[J]. Ecological Economics, 2015, 119:209-216.
[8] Yang Y, Liu Y. Study on China's energy efficiency and its spatio-temporal variation from 1990 to 2010 based on DEA-ESDA[J]. Journal of Natural Resources, 2014, 29(11):1815-1825.
[9] Cole M A, Neumayer E. Examining the impact of demographic factors on air pollution[J]. Population and Environment, 2004, 26(1):5-21.
[10] York R. Demographic trends and energy consumption in European Union Nations, 1960-2025[J]. Social Science Research, 2007, 36(3):855-872.
[11] Braun M R, Altan H, Beck S B M. Using regression analysis to predict the future energy consumption of a supermarket in the UK[J]. Applied Energy, 2014, 130(5):305-313.
[12] Wang S, Fang C, Guan X, et al. Urbanisation, energy consumption, and carbon dioxide emissions in China:a panel data analysis of China's provinces[J]. Applied Energy, 2014, 136(C):738-749.
[13] Zhang C, Lin Y. Panel estimation for urbanization, energy consumption and CO2 emissions:a regional analysis in China[J]. Energy Policy, 2012, 49:488-498.
[14] Bai X, Shi P, Liu Y. Society:realizing China's urban dream[J]. Nature, 2014, 509(7499):158-160.
[15] Chen H, Jia B, Lau S S Y. Sustainable urban form for Chinese compact cities:challenges of a rapid urbanized economy[J]. Habitat International, 2008, 32(1):28-40.
[16] Liddle B. Demographic dynamics and per capita environmental impact:using panel regressions and household decompositions to examine population and transport[J]. Population and Environment, 2004, 26(1):23-39.
[17] Newman P G, Kenworthy J R. Cities and automobile dependence:an international sourcebook[M]. Aldershot:Gower Technical Press, 1989:352-354.
[18] Zhu Q, Peng X. The impacts of population change on carbon emissions in China during 1978-2008[J]. Environmental Impact Assessment Review, 2012, 36(5):1-8.
[19] Wang Z, Yin F, Zhang Y, et al. An empirical research on the influencing factors of regional CO2 emissions:evidence from Beijing city, China[J]. Applied Energy, 2012, 100:277-284.
[20] Jorgenson A K, Clark B. Assessing the temporal stability of the population/environment relationship in comparative perspective:a cross-national panel study of carbon dioxide emissions, 1960-2005[J]. Population and Environment, 2010, 32(1):27-41.
[21] Zhang C, Lin Y. Panel estimation for urbanization, energy consumption and CO2 emissions:a regional analysis in China[J]. Energy Policy, 2012, 49:488-498.
[22] Poumanyvong P, Kaneko S. Does urbanization lead to less energy use and lower CO2 emissions? A cross-country analysis[J]. Ecological Economics, 2010, 70(2):434-444.
[23] Wang Y, Zhao T. Impacts of energy-related CO2 emissions:evidence from under developed, developing and highly developed regions in China[J]. Ecological Indicators, 2015, 50:186-195.
[24] Zhou Y, Liu Y, Wu W, et al. Effects of rural-urban development transformation on energy consumption and CO2 emissions:a regional analysis in China[J]. Renewable and Sustainable Energy Reviews, 2015, 52:863-875.
[25] Li H, Mu H, Zhang M, et al. Analysis on influence factors of China's CO2 emissions based on Path-STIRPAT model[J]. Energy Policy, 2011, 39(11):6906-6911.
[26] Yang Z, Liu Y. Does population have a larger impact on carbon dioxide emissions than income? Evidence from a cross-regional panel analysis in China[J]. Applied Energy, 2016, 180(180):800-809.
[27] 李国志, 李宗植. 中国二氧化碳排放的区域差异和影响因素研究[J]. 中国人口·资源与环境, 2010, 20(5):22-27.
[28] 仲伟周, 姜锋, 万晓丽. 我国产业结构变动对碳排放强度影响的实证研究[J]. 审计与经济研究, 2015(6):88-96.
[29] 霍金炜, 杨德刚, 汪菲,等. 基于因果和岭回归的新疆人口结构与CO2排放关系分析[J]. 中国科学院大学学报, 2015, 32(3):333-341.
[30] 李绍萍, 郝建芳, 王甲山. 东北地区碳排放与产业结构关系的实证研究:基于1995-2012年数据分析[J]. 中国石油大学学报(社会科学版), 2014(5):19-24.
[31] Wang P, Wu W, Zhu B, et al. Examining the impact factors of energy-related CO2 emissions using the STIRPAT model in Guangdong Province, China[J]. Applied Energy, 2013, 106(11):65-71.
[32] 王少剑,苏泳娴,赵亚博. 中国城市能源消费碳排放的区域差异、空间溢出效应及影响因素[J]. 地理学报,2018, 73(3):414-428.
[33] 何艳秋, 戴小文. 中国碳排放国际转移的行业敏感性分析[J]. 中国科学院大学学报, 2016, 33(2):187-194.
[34] Liu Y, Yang Z, Wu W. Assessing the impact of population, income and technology on energy consumption and industrial pollutant emissions in China[J]. Applied Energy, 2015, 155(155):904-917.
[35] Zhang C, Tan Z. The relationships between population factors and China's carbon emissions:Does population aging matter?[J]. Renewable and Sustainable Energy Reviews, 2016, 65:1018-1025.
[36] Alam M M, Murad M W, Noman A H M, et al. Relationships among carbon emissions, economic growth, energy consumption and population growth:testing environmental Kuznets curve hypothesis for Brazil, China, India and Indonesia[J]. Ecological Indicators, 2016, 70:466-479.
[37] Wang Z, Zhang B, Liu T. Empirical analysis on the factors influencing national and regional carbon intensity in China[J]. Renewable and Sustainable Energy Reviews, 2016, 55:34-42.
[38] Xu B, Lin B. How industrialization and urbanization process impacts on CO2 emissions in China:evidence from nonparametric additive regression models[J]. Energy Economics, 2015, 48:188-202.
[39] Grossman G M, Krueger A B. Economic growth and the environment[J]. The Quarterly Journal of Economics, 1995, 110(2):353-377.
[40] Vehmas J, Luukkanen J, Kalvooja J. Material flows and economic growth[R]. Finland (Turku):Turku School of Economies and Business Administration, 2003:9-11.
[41] Tapio P. Towards a theory of decoupling:degrees of decoupling in the EU and the case of road traffic in Finland between 1970 and 2001[J]. Transport Policy, 2005, 12(2):137-151.
[42] 马丽, 张博, 杨宇. 东北地区产业发展与工业SO2排放的时空耦合效应[J]. 地理科学, 2016, 36(9):1310-1319.
[43] Ang B W. Decomposition analysis for policymaking in energy:which is the preferred method?[J]. Energy Policy, 2004, 32(9):1131-1139.
[44] 国家统计局. 中国统计年鉴1991-2015[M]. 北京:中国统计出版社, 1991-2015.
[45] 国家统计局. 中国能源统计年鉴1991-2015[M]. 北京:中国统计出版社, 1991-2015.
[46] 工业和信息化部产业政策司.我国产业转移现状和特点分析[EB/OL]. (2015-02-28)[2018-11-13]. http://cyzy.miit.gov.cn/node/6281.
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