IDEAS home Printed from https://ideas.repec.org/p/biw/wpaper/51.html
   My bibliography  Save this paper

Potential impacts of industrial structure on energy consumption and CO2 emission: a case study of Beijing

Author

Listed:
  • Zhi-Fu Mi
  • Su-Yan Pan
  • Hao Yu
  • Yi-Ming Wei

    (Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology)

Abstract

An optimization model is developed based on the Input-Output model to assess the potential impacts of industrial structure on the energy consumption and CO2 emission. The method is applied to a case study of industrial structure adjustment in Beijing, China. Results demonstrate that industrial structure adjustment has great potential of energy conservation and carbon reduction. When the average annual growth rate of GDP is 8.29% from 2010 to 2020, industrial structure adjustment can save energy by 39.42% (50.06 million tons of standard coal equivalent), and reduce CO2 emission by 46.06% (96.31 million tons) in Beijing in 2020. Second, Beijing had better strive to develop several low energy intensive and low carbon intensive sectors, such as information transmission, computer service and software, and finance. Third, energy intensity is possible to decrease without negatively affecting economic growth by reasonable industrial structure adjustment. Four, compared to 'intensity targets', 'total amount targets' are more effective on the energy conservation and carbon reduction, but have much greater negative effects on economic growth. Therefore, it needs to be balanced between 'total amount targets' and 'intensity targets'.

Suggested Citation

  • Zhi-Fu Mi & Su-Yan Pan & Hao Yu & Yi-Ming Wei, 2014. "Potential impacts of industrial structure on energy consumption and CO2 emission: a case study of Beijing," CEEP-BIT Working Papers 51, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    • Handle: RePEc:biw:wpaper:51
    as

    Download full text from publisher

    File URL: http://www.ceep.net.cn/docs/2014-07/20140714181844971978.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bisdorff, R. & Laurent, S., 1995. "Industrial linear optimization problems solved by constraint logic programming," European Journal of Operational Research, Elsevier, vol. 84(1), pages 82-95, July.
    2. Liaskas, K. & Mavrotas, G. & Mandaraka, M. & Diakoulaki, D., 2000. "Decomposition of industrial CO2 emissions:: The case of European Union," Energy Economics, Elsevier, vol. 22(4), pages 383-394, August.
    3. Quadrelli, Roberta & Peterson, Sierra, 2007. "The energy-climate challenge: Recent trends in CO2 emissions from fuel combustion," Energy Policy, Elsevier, vol. 35(11), pages 5938-5952, November.
    4. Pizer, William A., 2002. "Combining price and quantity controls to mitigate global climate change," Journal of Public Economics, Elsevier, vol. 85(3), pages 409-434, September.
    5. Cong, Rong-Gang & Wei, Yi-Ming, 2010. "Potential impact of (CET) carbon emissions trading on China’s power sector: A perspective from different allowance allocation options," Energy, Elsevier, vol. 35(9), pages 3921-3931.
    6. Keyu Jin, 2012. "Industrial Structure and Capital Flows," American Economic Review, American Economic Association, vol. 102(5), pages 2111-2146, August.
    7. Kofi Adom, Philip & Bekoe, William & Amuakwa-Mensah, Franklin & Mensah, Justice Tei & Botchway, Ebo, 2012. "Carbon dioxide emissions, economic growth, industrial structure, and technical efficiency: Empirical evidence from Ghana, Senegal, and Morocco on the causal dynamics," Energy, Elsevier, vol. 47(1), pages 314-325.
    8. Liao, Hua & Fan, Ying & Wei, Yi-Ming, 2007. "What induced China's energy intensity to fluctuate: 1997-2006?," Energy Policy, Elsevier, vol. 35(9), pages 4640-4649, September.
    9. Liou, Hwa Meei, 2010. "Policies and legislation driving Taiwan's development of renewable energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(7), pages 1763-1781, September.
    10. Kim, Yeonbae & Worrell, Ernst, 2002. "International comparison of CO2 emission trends in the iron and steel industry," Energy Policy, Elsevier, vol. 30(10), pages 827-838, August.
    11. Cong, Rong-Gang & Shen, Shaochuan, 2014. "How to Develop Renewable Power in China? A Cost-Effective Perspective," MPRA Paper 112209, University Library of Munich, Germany.
    12. Nanduri, Vishnu & Saavedra-Antolínez, Ivan, 2013. "A competitive Markov decision process model for the energy–water–climate change nexus," Applied Energy, Elsevier, vol. 111(C), pages 186-198.
    13. Cong, Rong-Gang, 2013. "An optimization model for renewable energy generation and its application in China: A perspective of maximum utilization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 17(C), pages 94-103.
    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. Wei, Yi-Ming & Mi, Zhi-Fu & Huang, Zhimin, 2015. "Climate policy modeling: An online SCI-E and SSCI based literature review," Omega, Elsevier, vol. 57(PA), pages 70-84.
    2. Chen, B. & Yang, Q. & Zhou, Sili & Li, J.S. & Chen, G.Q., 2017. "Urban economy's carbon flow through external trade: Spatial-temporal evolution for Macao," Energy Policy, Elsevier, vol. 110(C), pages 69-78.
    3. Tao Yang & Rong Wang, 2023. "Research on the Impact of Green Finance and the Digital Economy on the Energy Consumption Structure in the Context of Carbon Neutrality," Sustainability, MDPI, vol. 15(22), pages 1-19, November.
    4. Zhang, Yue-Jun & Liu, Zhao & Zhou, Si-Ming & Qin, Chang-Xiong & Zhang, Huan, 2018. "The impact of China's Central Rise Policy on carbon emissions at the stage of operation in road sector," Economic Modelling, Elsevier, vol. 71(C), pages 159-173.
    5. Liangliang Liu & Yonghao Guan, 2023. "How do fiscal decentralization and intergovernmental fiscal transfers affect energy consumption in China?," Energy & Environment, , vol. 34(5), pages 1228-1242, August.
    6. Zhi-Fu Mi & Yi-Ming Wei & Chen-Qi He & Hua-Nan Li & Xiao-Chen Yuan & Hua Liao, 2017. "Regional efforts to mitigate climate change in China: a multi-criteria assessment approach," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 22(1), pages 45-66, January.
    7. Miaomiao Liu & Yining Huang & Rosemary Hiscock & Qin Li & Jun Bi & Patrick L. Kinney & Clive E. Sabel, 2016. "Do Climate Change Policies Promote or Conflict with Subjective Wellbeing: A Case Study of Suzhou, China," IJERPH, MDPI, vol. 13(3), pages 1-16, March.
    8. Zhifu Mi & Hua Liao & D’Maris Coffman & Yi-Ming Wei, 2019. "Assessment of equity principles for international climate policy based on an integrated assessment model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 95(1), pages 309-323, January.
    9. Lingyun He & Fang Yin & Zhangqi Zhong & Zhihua Ding, 2017. "The impact of local government investment on the carbon emissions reduction effect: An empirical analysis of panel data from 30 provinces and municipalities in China," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-20, July.
    10. Wesseh, Presley K. & Lin, Boqiang, 2016. "Modeling environmental policy with and without abatement substitution: A tradeoff between economics and environment?," Applied Energy, Elsevier, vol. 167(C), pages 34-43.
    11. Wentao Lu & Zhenghui Fu & Yang Zhang & Yuxuan Qiao & Lei Yu & Yi Liu, 2021. "Integrated Planning for Regional Development Planning with Low Carbon Development Constraint under Uncertainty: A Case Study of Qingpu District, Shanghai," Sustainability, MDPI, vol. 13(19), pages 1-24, September.
    12. Lei Tian & Zhe Ding & Yongxuan Wang & Haiyan Duan & Shuo Wang & Jie Tang & Xian’en Wang, 2016. "Analysis of the Driving Factors and Contributions to Carbon Emissions of Energy Consumption from the Perspective of the Peak Volume and Time Based on LEAP," Sustainability, MDPI, vol. 8(6), pages 1-17, May.

    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. 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.
    2. Bao-jun Tang & Pi-qin Gong & Cheng Shen, 2017. "Factors of carbon price volatility in a comparative analysis of the EUA and sCER," Annals of Operations Research, Springer, vol. 255(1), pages 157-168, August.
    3. Chen, Hao & Tang, Bao-Jun & Liao, Hua & Wei, Yi-Ming, 2016. "A multi-period power generation planning model incorporating the non-carbon external costs: A case study of China," Applied Energy, Elsevier, vol. 183(C), pages 1333-1345.
    4. Gu, Gaoxiang & Wang, Zheng, 2018. "China’s carbon emissions abatement under industrial restructuring by investment restriction," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 133-144.
    5. Yu, Hao & Wei, Yi-Ming & Tang, Bao-Jun & Mi, Zhifu & Pan, Su-Yan, 2016. "Assessment on the research trend of low-carbon energy technology investment: A bibliometric analysis," Applied Energy, Elsevier, vol. 184(C), pages 960-970.
    6. Zhang, Kun & Wang, Qian & Liang, Qiao-Mei & Chen, Hao, 2016. "A bibliometric analysis of research on carbon tax from 1989 to 2014," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 297-310.
    7. Nasreen, Samia & Anwar, Sofia & Ozturk, Ilhan, 2017. "Financial stability, energy consumption and environmental quality: Evidence from South Asian economies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 1105-1122.
    8. Yi-Ming Wei & Jin-Wei Wang & Tianqi Chen & Bi-Ying Yu & Hua Liao, 2018. "Frontiers of Low-Carbon Technologies: Results from Bibliographic Coupling with Sliding Window," CEEP-BIT Working Papers 116, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    9. Zhaohua Wang & Xiaoyang Dong, 2016. "Determinants and policy implications of residents’ new energy vehicle purchases: the evidence from China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 82(1), pages 155-173, May.
    10. Aslan, Alper, 2016. "The causal relationship between biomass energy use and economic growth in the United States," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 362-366.
    11. Wei, Yi-Ming & Mi, Zhi-Fu & Huang, Zhimin, 2015. "Climate policy modeling: An online SCI-E and SSCI based literature review," Omega, Elsevier, vol. 57(PA), pages 70-84.
    12. Cenjie Liu & Chunbo Ma & Rui Xie, 2020. "Structural, Innovation and Efficiency Effects of Environmental Regulation: Evidence from China’s Carbon Emissions Trading Pilot," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 75(4), pages 741-768, April.
    13. Xu, Mei & Xie, Pu & Xie, Bai-Chen, 2020. "Study of China's optimal solar photovoltaic power development path to 2050," Resources Policy, Elsevier, vol. 65(C).
    14. Vazquez, Luis & Luukkanen, Jyrki & Kaisti, Hanna & Käkönen, Mira & Majanne, Yrjö, 2015. "Decomposition analysis of Cuban energy production and use: Analysis of energy transformation for sustainability," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 638-645.
    15. Liu, Li-Jing & Liang, Qiao-Mei & Creutzig, Felix & Ward, Hauke & Zhang, Kun, 2020. "Sweet spots are in the food system: Structural adjustments to co-control regional pollutants and national GHG emissions in China," Ecological Economics, Elsevier, vol. 171(C).
    16. Mahbub, Md Shahriar & Cozzini, Marco & Østergaard, Poul Alberg & Alberti, Fabrizio, 2016. "Combining multi-objective evolutionary algorithms and descriptive analytical modelling in energy scenario design," Applied Energy, Elsevier, vol. 164(C), pages 140-151.
    17. Chang-Jing Ji & Xiao-Yi Li & Yu-Jie Hu & Xiang-Yu Wang & Bao-Jun Tang, 2019. "Research on carbon price in emissions trading scheme: a bibliometric analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1381-1396, December.
    18. Nogueira Vilanova, Mateus Ricardo & Perrella Balestieri, José Antônio, 2015. "Exploring the water-energy nexus in Brazil: The electricity use for water supply," Energy, Elsevier, vol. 85(C), pages 415-432.
    19. Cong, Rong-Gang & Shen, Shaochuan, 2014. "How to Develop Renewable Power in China? A Cost-Effective Perspective," MPRA Paper 112209, University Library of Munich, Germany.
    20. Zuoxi Liu & Huijuan Dong & Yong Geng & Chengpeng Lu & Wanxia Ren, 2014. "Insights into the Regional Greenhouse Gas (GHG) Emission of Industrial Processes: A Case Study of Shenyang, China," Sustainability, MDPI, vol. 6(6), pages 1-17, June.

    More about this item

    Keywords

    Industrial structure; Energy consumption; CO2 emission; Input-output; Optimization model;
    All these keywords.

    JEL classification:

    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:biw:wpaper:51. 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: Zhi-Fu Mi (email available below). General contact details of provider: https://edirc.repec.org/data/cebitcn.html .

    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.