IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i5p1875-d327305.html
   My bibliography  Save this article

Economic Structure Transformation and Low-Carbon Development in Energy-Rich Cities: The Case of the Contiguous Area of Shanxi and Shaanxi Provinces, and Inner Mongolia Autonomous Region of China

Author

Listed:
  • Hongli Zhang

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Lei Shen

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
    Key Laboratory of Carrying Capacity Assessment for Resource and Environment, Ministry of Natural Resources of the People’s Republic of China, Beijing 101149, China)

  • Shuai Zhong

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
    Key Laboratory of Carrying Capacity Assessment for Resource and Environment, Ministry of Natural Resources of the People’s Republic of China, Beijing 101149, China)

  • Ayman Elshkaki

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
    Key Laboratory of Carrying Capacity Assessment for Resource and Environment, Ministry of Natural Resources of the People’s Republic of China, Beijing 101149, China)

Abstract

Energy-rich cities tend to rely on resource-based industries for economic growth, which leads to a great challenge for its low-carbon and sustainable economic development. The contiguous area of Shanxi and Shaanxi Provinces, and the Inner Mongolia Autonomous Region (SSIM) is one of the most important national energy bases in China. Its development pattern, dominated by the coal industry, has led to increasingly prominent structural problems along with difficult low-carbon transition. Taking energy-rich cities in the contiguous area of SSIM as examples, this study analyzes the main drivers of CO 2 emissions and explores the role of economic structure transformation in carbon emission reduction during 2002–2012 based on structural decomposition analysis (SDA). The results show that CO 2 emissions increase significantly with the coal industry expansion in energy-rich cities. Economic growth and structure are the main drivers of CO 2 emission increments. An energy structure dominated by coal and improper product allocation structure can also cause CO 2 emission increases. Energy consumption intensity is the main factor curbing CO 2 emission growth in energy-rich cities. The decline of agriculture and services contributes to carbon emission reduction, while the expansion of mining and primary energy processing industries has far greater effects on CO 2 emission growth. Finally, we propose that energy-rich cities must make more efforts to transform energy-driven economic growth patterns, cultivate new pillar industries by developing high-end manufacturing, improve energy efficiency through more investment in key technologies and the market-oriented reform of energy pricing and develop natural gas and renewable energy to accelerate low-carbon transition.

Suggested Citation

  • Hongli Zhang & Lei Shen & Shuai Zhong & Ayman Elshkaki, 2020. "Economic Structure Transformation and Low-Carbon Development in Energy-Rich Cities: The Case of the Contiguous Area of Shanxi and Shaanxi Provinces, and Inner Mongolia Autonomous Region of China," Sustainability, MDPI, vol. 12(5), pages 1-14, March.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:5:p:1875-:d:327305
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/5/1875/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/12/5/1875/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hermannsson, Kristinn & McIntyre, Stuart G., 2014. "Local consumption and territorial based accounting for CO2 emissions," Ecological Economics, Elsevier, vol. 104(C), pages 1-11.
    2. Li, Jia Shuo & Zhou, H.W. & Meng, Jing & Yang, Q. & Chen, B. & Zhang, Y.Y., 2018. "Carbon emissions and their drivers for a typical urban economy from multiple perspectives: A case analysis for Beijing city," Applied Energy, Elsevier, vol. 226(C), pages 1076-1086.
    3. Wang, Changjian & Wang, Fei & Zhang, Xinlin & Yang, Yu & Su, Yongxian & Ye, Yuyao & Zhang, Hongou, 2017. "Examining the driving factors of energy related carbon emissions using the extended STIRPAT model based on IPAT identity in Xinjiang," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 51-61.
    4. Jiang, Xuemei & Guan, Dabo, 2017. "The global CO2 emissions growth after international crisis and the role of international trade," Energy Policy, Elsevier, vol. 109(C), pages 734-746.
    5. Chen, Guangwu & Wiedmann, Thomas & Wang, Yafei & Hadjikakou, Michalis, 2016. "Transnational city carbon footprint networks – Exploring carbon links between Australian and Chinese cities," Applied Energy, Elsevier, vol. 184(C), pages 1082-1092.
    6. Anthony T. Flegg & Leonardo J. Mastronardi & Carlos A. Romero, 2016. "Evaluating the FLQ and AFLQ formulae for estimating regional input coefficients: empirical evidence for the province of Córdoba, Argentina," Economic Systems Research, Taylor & Francis Journals, vol. 28(1), pages 21-37, March.
    7. Wang, H. & Ang, B.W., 2018. "Assessing the role of international trade in global CO2 emissions: An index decomposition analysis approach," Applied Energy, Elsevier, vol. 218(C), pages 146-158.
    8. Solaymani, Saeed, 2019. "CO2 emissions patterns in 7 top carbon emitter economies: The case of transport sector," Energy, Elsevier, vol. 168(C), pages 989-1001.
    9. Philip Mccann & John H. LL. Dewhurst, 1998. "Regional Size, Industrial Location and Input-Output Expenditure Coefficients," Regional Studies, Taylor & Francis Journals, vol. 32(5), pages 435-444.
    10. A. T. Flegg & C. D. Webber, 2000. "Regional Size, Regional Specialization and the FLQ Formula," Regional Studies, Taylor & Francis Journals, vol. 34(6), pages 563-569.
    11. Lu, Qinli & Yang, Hong & Huang, Xianjin & Chuai, Xiaowei & Wu, Changyan, 2015. "Multi-sectoral decomposition in decoupling industrial growth from carbon emissions in the developed Jiangsu Province, China," Energy, Elsevier, vol. 82(C), pages 414-425.
    12. Zhao, Min & Tan, Lirong & Zhang, Weiguo & Ji, Minhe & Liu, Yuan & Yu, Lizhong, 2010. "Decomposing the influencing factors of industrial carbon emissions in Shanghai using the LMDI method," Energy, Elsevier, vol. 35(6), pages 2505-2510.
    13. Kim, Yong-Gun & Yoo, Jonghyun & Oh, Wankeun, 2015. "Driving forces of rapid CO2 emissions growth: A case of Korea," Energy Policy, Elsevier, vol. 82(C), pages 144-155.
    14. Lin, Boqiang & Xu, Bin, 2018. "Growth of industrial CO2 emissions in Shanghai city: Evidence from a dynamic vector autoregression analysis," Energy, Elsevier, vol. 151(C), pages 167-177.
    15. de Vries, Gaaitzen J. & Ferrarini, Benno, 2017. "What Accounts for the Growth of Carbon Dioxide Emissions in Advanced and Emerging Economies? The Role of Consumption, Technology and Global Supply Chain Participation," Ecological Economics, Elsevier, vol. 132(C), pages 213-223.
    16. William A. Schaffer & Kong Chu, 1969. "Nonsurvey Techniques For Constructing Regional Interindustry Models," Papers in Regional Science, Wiley Blackwell, vol. 23(1), pages 83-104, January.
    17. Jin-Wei Wang & Hua Liao & Bao-Jun Tang & Ruo-Yu Ke & Yi-Ming Wei, 2017. "Is the CO2 Emissions Reduction from Scale Change, Structural Change or Technology Change? Evidence from Non-metallic Sector of 11 Major Economies in 1995-2009," CEEP-BIT Working Papers 101, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    18. Rodríguez, Miguel & Pena-Boquete, Yolanda, 2017. "Carbon intensity changes in the Asian Dragons. Lessons for climate policy design," Energy Economics, Elsevier, vol. 66(C), pages 17-26.
    19. Zhang, Youguo, 2010. "Supply-side structural effect on carbon emissions in China," Energy Economics, Elsevier, vol. 32(1), pages 186-193, January.
    20. Yuan, Baolong & Ren, Shenggang & Chen, Xiaohong, 2015. "The effects of urbanization, consumption ratio and consumption structure on residential indirect CO2 emissions in China: A regional comparative analysis," Applied Energy, Elsevier, vol. 140(C), pages 94-106.
    21. Ouyang, Xiaoling & Lin, Boqiang, 2015. "An analysis of the driving forces of energy-related carbon dioxide emissions in China’s industrial sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 838-849.
    22. Mousavi, Babak & Lopez, Neil Stephen A. & Biona, Jose Bienvenido Manuel & Chiu, Anthony S.F. & Blesl, Markus, 2017. "Driving forces of Iran's CO2 emissions from energy consumption: An LMDI decomposition approach," Applied Energy, Elsevier, vol. 206(C), pages 804-814.
    23. Stanislaw Czamanski & Emil E. Malizia, 1969. "Applicability And Limitations In The Use Of National Input‐Output Tables For Regional Studies," Papers in Regional Science, Wiley Blackwell, vol. 23(1), pages 65-78, January.
    24. Andreoni, Valeria & Galmarini, Stefano, 2016. "Drivers in CO2 emissions variation: A decomposition analysis for 33 world countries," Energy, Elsevier, vol. 103(C), pages 27-37.
    25. Shao, Shuai & Yang, Lili & Gan, Chunhui & Cao, Jianhua & Geng, Yong & Guan, Dabo, 2016. "Using an extended LMDI model to explore techno-economic drivers of energy-related industrial CO2 emission changes: A case study for Shanghai (China)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 516-536.
    26. Zhou, Xiaoyan & Zhang, Jie & Li, Junpeng, 2013. "Industrial structural transformation and carbon dioxide emissions in China," Energy Policy, Elsevier, vol. 57(C), pages 43-51.
    27. Wang, H. & Ang, B.W. & Su, Bin, 2017. "Assessing drivers of economy-wide energy use and emissions: IDA versus SDA," Energy Policy, Elsevier, vol. 107(C), pages 585-599.
    28. Cansino, José M. & Román, Rocío & Ordóñez, Manuel, 2016. "Main drivers of changes in CO2 emissions in the Spanish economy: A structural decomposition analysis," Energy Policy, Elsevier, vol. 89(C), pages 150-159.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gennadiy Stroykov & Alexey Y. Cherepovitsyn & Elizaveta A. Iamshchikova, 2020. "Powering Multiple Gas Condensate Wells in Russia’s Arctic: Power Supply Systems Based on Renewable Energy Sources," Resources, MDPI, vol. 9(11), pages 1-15, November.
    2. Bolortuya Purev & Weida He, 2021. "Coal industrial supply chain network: Mongolian capabilities across the Asian market," Technium Social Sciences Journal, Technium Science, vol. 19(1), pages 401-411, May.
    3. Lin, Boqiang & Zhou, Yicheng, 2021. "How does vertical fiscal imbalance affect the upgrading of industrial structure? Empirical evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    4. Wanbei Jiang & Weidong Liu, 2020. "Provincial-Level CO 2 Emissions Intensity Inequality in China: Regional Source and Explanatory Factors of Interregional and Intraregional Inequalities," Sustainability, MDPI, vol. 12(6), pages 1-16, March.
    5. Kang Zhao & Rui Zhang & Hong Liu & Geyi Wang & Xialing Sun, 2021. "Resource Endowment, Industrial Structure, and Green Development of the Yellow River Basin," Sustainability, MDPI, vol. 13(8), pages 1-18, April.
    6. Fang Wan & Jizu Li, 2023. "Responsibility Allocation of Provincial Industry Emission Reduction from the Perspective of Industrial Linkages—A Case Study of Shanxi Province," Sustainability, MDPI, vol. 15(12), pages 1-14, June.
    7. Mao, Wenxin & Wang, Wenping & Sun, Huifang & Yao, Peiyi & Wang, Xiaolei & Luo, Dang, 2021. "Urban industrial transformation patterns under natural resource dependence: A rule mining technique," Energy Policy, Elsevier, vol. 156(C).
    8. Henrique Oliveira & Víctor Moutinho, 2021. "Renewable Energy, Economic Growth and Economic Development Nexus: A Bibliometric Analysis," Energies, MDPI, vol. 14(15), pages 1-28, July.
    9. Jing-Xiao Zhang & Jia-Wei Cheng & Simon Patrick Philbin & Pablo Ballesteros-Perez & Martin Skitmore & Ge Wang, 2023. "Influencing factors of urban innovation and development: a grounded theory analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(3), pages 2079-2104, March.
    10. Wei Xu & Jiahui Yi & Jinhua Cheng, 2022. "The Heterogeneity of High-Quality Economic Development in China’s Mining Cities: A Meta Frontier Function," IJERPH, MDPI, vol. 19(11), pages 1-23, May.
    11. repec:thr:techub:10019:y:2021:i:1:p:401-411 is not listed on IDEAS

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Liang, Wei & Gan, Ting & Zhang, Wei, 2019. "Dynamic evolution of characteristics and decomposition of factors influencing industrial carbon dioxide emissions in China: 1991–2015," Structural Change and Economic Dynamics, Elsevier, vol. 49(C), pages 93-106.
    2. Wang, Juan & Hu, Mingming & Rodrigues, João F.D., 2018. "The evolution and driving forces of industrial aggregate energy intensity in China: An extended decomposition analysis," Applied Energy, Elsevier, vol. 228(C), pages 2195-2206.
    3. Yu, Yang & Hubacek, Klaus & Feng, Kuishuang & Guan, Dabo, 2010. "Assessing regional and global water footprints for the UK," Ecological Economics, Elsevier, vol. 69(5), pages 1140-1147, March.
    4. Li, Aijun & Zhou, Dinglin & Chen, Guoshi & Liu, Yuhao & Long, Yan, 2020. "Multi-region comparisons of energy-related CO2 emissions and production water use during energy development in northwestern China," Renewable Energy, Elsevier, vol. 153(C), pages 940-961.
    5. Wang, Miao & Feng, Chao, 2018. "Using an extended logarithmic mean Divisia index approach to assess the roles of economic factors on industrial CO2 emissions of China," Energy Economics, Elsevier, vol. 76(C), pages 101-114.
    6. Zhang, Danyang & Wang, Hui & Löschel, Andreas & Zhou, Peng, 2021. "The changing role of global value chains in CO2 emission intensity in 2000–2014," Energy Economics, Elsevier, vol. 93(C).
    7. Dong Jichang & He Jing & Li Xiuting & Mou Xindi & Dong Zhi, 2020. "The Effect of Industrial Structure Change on Carbon Dioxide Emissions: A Cross-Country Panel Analysis," Journal of Systems Science and Information, De Gruyter, vol. 8(1), pages 1-16, February.
    8. Xiao, Hao & Sun, Ke-Juan & Bi, Hui-Min & Xue, Jin-Jun, 2019. "Changes in carbon intensity globally and in countries: Attribution and decomposition analysis," Applied Energy, Elsevier, vol. 235(C), pages 1492-1504.
    9. Shigetomi, Yosuke & Matsumoto, Ken'ichi & Ogawa, Yuki & Shiraki, Hiroto & Yamamoto, Yuki & Ochi, Yuki & Ehara, Tomoki, 2018. "Driving forces underlying sub-national carbon dioxide emissions within the household sector and implications for the Paris Agreement targets in Japan," Applied Energy, Elsevier, vol. 228(C), pages 2321-2332.
    10. Liang, Xiaoying & Min Fan, & Xiao, Yuting & Yao, Jing, 2022. "Temporal-spatial characteristics of energy-based carbon dioxide emissions and driving factors during 2004–2019, China," Energy, Elsevier, vol. 261(PA).
    11. Jiancheng Qin & Hui Tao & Chinhsien Cheng & Karthikeyan Brindha & Minjin Zhan & Jianli Ding & Guijin Mu, 2020. "Analysis of Factors Influencing Carbon Emissions in the Energy Base, Xinjiang Autonomous Region, China," Sustainability, MDPI, vol. 12(3), pages 1-15, February.
    12. Tian Zhao & Zhixin Liu, 2022. "Drivers of CO 2 Emissions: A Debt Perspective," IJERPH, MDPI, vol. 19(3), pages 1-18, February.
    13. Hua Liao & Celio Andrade & Julio Lumbreras & Jing Tian, 2018. "CO2 Emissions in Beijing: Sectoral Linkages and Demand Drivers," CEEP-BIT Working Papers 113, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    14. Cai, Bofeng & Lu, Jun & Wang, Jinnan & Dong, Huijuan & Liu, Xiaoman & Chen, Yang & Chen, Zhanming & Cong, Jianhui & Cui, Zhipeng & Dai, Chunyan & Fang, Kai & Feng, Tong & Guo, Jie & Li, Fen & Meng, Fa, 2019. "A benchmark city-level carbon dioxide emission inventory for China in 2005," Applied Energy, Elsevier, vol. 233, pages 659-673.
    15. Li, Y.L. & Chen, B. & Chen, G.Q., 2020. "Carbon network embodied in international trade: Global structural evolution and its policy implications," Energy Policy, Elsevier, vol. 139(C).
    16. Yu. Yu. Ponomarev & D. Yu. Evdokimov, 2021. "Construction of Truncated Input–Output Tables for Russian Regions Using Location Quotients," Studies on Russian Economic Development, Springer, vol. 32(6), pages 619-630, November.
    17. Ying Han & Baoling Jin & Xiaoyuan Qi & Huasen Zhou, 2021. "Influential Factors and Spatiotemporal Characteristics of Carbon Intensity on Industrial Sectors in China," IJERPH, MDPI, vol. 18(6), pages 1-18, March.
    18. Yan Yan & Ancheng Pan & Chunyou Wu & Shusen Gui, 2019. "Factors Influencing Indirect Carbon Emission of Residential Consumption in China: A Case of Liaoning Province," Sustainability, MDPI, vol. 11(16), pages 1-22, August.
    19. Linwei Ma & Chinhao Chong & Xi Zhang & Pei Liu & Weiqi Li & Zheng Li & Weidou Ni, 2018. "LMDI Decomposition of Energy-Related CO 2 Emissions Based on Energy and CO 2 Allocation Sankey Diagrams: The Method and an Application to China," Sustainability, MDPI, vol. 10(2), pages 1-37, January.
    20. Wen, Hong-xing & Chen, Zhe & Yang, Qian & Liu, Jin-yi & Nie, Pu-yan, 2022. "Driving forces and mitigating strategies of CO2 emissions in China: A decomposition analysis based on 38 industrial sub-sectors," Energy, Elsevier, vol. 245(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:12:y:2020:i:5:p:1875-:d:327305. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.