IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v237y2021ics0360544221018983.html
   My bibliography  Save this article

Optimization path of energy-economy system from the perspective of minimum industrial structure adjustment

Author

Listed:
  • Xu, Yue
  • Tian, Shu
  • Wang, Qingsong
  • Yuan, Xueliang
  • Ma, Qiao
  • Liu, Mengyue
  • Xu, Zhaopeng
  • Liu, Jixiang
  • Xu, Xiang
  • Liu, Chengqing

Abstract

As an effective means to alleviate the contradiction between energy and economy, industrial restructuring has gradually received widespread international attention. A two-stage optimization method is constructed from evaluation index system to multi-objective optimization model by taking industrial structure adjustment as the research object. In order that the adjustment of industrial structure is closer to the actual situation, an adjustment-rate-based multi-objective optimization model is also proposed by introducing an objective of minimum adjustment of industrial structure. China is selected as our case study. Results show that the 9.57 % of industrial adjustment, will lead to the increase of economic objective by 6.66 %, and the decrease of energy consumption by 5.36 %, which meets China's current high-quality development requirements. Meanwhile, a grouping proposal is established for each sector based on the range of industrial scale adjustment in comprehensive preference. By comparing the optimization effect of different groups of sectors after energy efficiency improvement, the priority of energy efficiency improvement was identified. In addition, the uncertainty of slack variable is discussed to ensure the accuracy of the model, and conclude that the Chinese government should improve the diversity of energy import. The above conclusions can provide useful references for the development of industrial restructuring plans.

Suggested Citation

  • Xu, Yue & Tian, Shu & Wang, Qingsong & Yuan, Xueliang & Ma, Qiao & Liu, Mengyue & Xu, Zhaopeng & Liu, Jixiang & Xu, Xiang & Liu, Chengqing, 2021. "Optimization path of energy-economy system from the perspective of minimum industrial structure adjustment," Energy, Elsevier, vol. 237(C).
    • Handle: RePEc:eee:energy:v:237:y:2021:i:c:s0360544221018983
    DOI: 10.1016/j.energy.2021.121650
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544221018983
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2021.121650?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Yu, Shiwei & Zheng, Shuhong & Li, Xia & Li, Longxi, 2018. "China can peak its energy-related carbon emissions before 2025: Evidence from industry restructuring," Energy Economics, Elsevier, vol. 73(C), pages 91-107.
    2. Vural, Gulfer, 2020. "How do output, trade, renewable energy and non-renewable energy impact carbon emissions in selected Sub-Saharan African Countries?," Resources Policy, Elsevier, vol. 69(C).
    3. Dixit, Manish K., 2017. "Life cycle embodied energy analysis of residential buildings: A review of literature to investigate embodied energy parameters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 390-413.
    4. Shepard, Jun U. & Pratson, Lincoln F., 2020. "Hybrid input-output analysis of embodied energy security," Applied Energy, Elsevier, vol. 279(C).
    5. Liu, Zhao & Zhang, Huan & Zhang, Yue-Jun & Zhu, Tian-Tian, 2020. "How does industrial policy affect the eco-efficiency of industrial sector? Evidence from China," Applied Energy, Elsevier, vol. 272(C).
    6. He, Kun & Wang, Li, 2017. "A review of energy use and energy-efficient technologies for the iron and steel industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1022-1039.
    7. 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.
    8. Zhu, Bangzhu & Su, Bin & Li, Yingzhu & Ng, Tsan Sheng, 2020. "Embodied energy and intensity in China’s (normal and processing) exports and their driving forces, 2005-2015," Energy Economics, Elsevier, vol. 91(C).
    9. Wang, H. & Pan, Chen & Wang, Qunwei & Zhou, P., 2020. "Assessing sustainability performance of global supply chains: An input-output modeling approach," European Journal of Operational Research, Elsevier, vol. 285(1), pages 393-404.
    10. Tiba, Sofien & Omri, Anis, 2017. "Literature survey on the relationships between energy, environment and economic growth," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 1129-1146.
    11. Wu, Yi-Hua & Liu, Chia-Hao & Hung, Ming-Lung & Liu, Tzu-Yar & Masui, Toshihiko, 2019. "Sectoral energy efficiency improvements in Taiwan: Evaluations using a hybrid of top-down and bottom-up models," Energy Policy, Elsevier, vol. 132(C), pages 1241-1255.
    12. Nong, Duy & Wang, Can & Al-Amin, Abul Quasem, 2020. "A critical review of energy resources, policies and scientific studies towards a cleaner and more sustainable economy in Vietnam," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    13. Yu, Shiwei & Zheng, Shuhong & Zhang, Xuejiao & Gong, Chengzhu & Cheng, Jinhua, 2018. "Realizing China's goals on energy saving and pollution reduction: Industrial structure multi-objective optimization approach," Energy Policy, Elsevier, vol. 122(C), pages 300-312.
    14. Griffin, Paul W. & Hammond, Geoffrey P., 2019. "Industrial energy use and carbon emissions reduction in the iron and steel sector: A UK perspective," Applied Energy, Elsevier, vol. 249(C), pages 109-125.
    15. Han, Yongming & Wu, Hao & Geng, Zhiqiang & Zhu, Qunxiong & Gu, Xiangbai & Yu, Bin, 2020. "Review: Energy efficiency evaluation of complex petrochemical industries," Energy, Elsevier, vol. 203(C).
    16. Bölük, Gülden & Mert, Mehmet, 2014. "Fossil & renewable energy consumption, GHGs (greenhouse gases) and economic growth: Evidence from a panel of EU (European Union) countries," Energy, Elsevier, vol. 74(C), pages 439-446.
    17. Liu, Yazhou & Bian, Jiacong & Li, Xiangmei & Liu, Shuyi & Lageson, David & Yin, Yingkai, 2020. "The optimization of regional industrial structure under the water-energy constraint: A case study on Hebei Province in China," Energy Policy, Elsevier, vol. 143(C).
    18. Ma, Xuejiao & Wang, Yong & Wang, Chen, 2017. "Low-carbon development of China's thermal power industry based on an international comparison: Review, analysis and forecast," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 942-970.
    19. Sun, Xiaoqi & An, Haizhong & Gao, Xiangyun & Jia, Xiaoliang & Liu, Xiaojia, 2016. "Indirect energy flow between industrial sectors in China: A complex network approach," Energy, Elsevier, vol. 94(C), pages 195-205.
    20. Philip R. Israilevich & Geoffrey J.D. Hewings & Graham R. Schindler & Ramamohan Mahidhara, 1996. "The Choice Of An Input‐Output Table Embedded In Regional Econometric Input‐Output Models," Papers in Regional Science, Wiley Blackwell, vol. 75(2), pages 103-119, April.
    21. Jiang, Meihui & An, Haizhong & Gao, Xiangyun & Liu, Donghui & Jia, Nanfei & Xi, Xian, 2020. "Consumption-based multi-objective optimization model for minimizing energy consumption: A case study of China," Energy, Elsevier, vol. 208(C).
    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. Lili Yang & Ning Ma, 2022. "Empirical Study on the Influence of Urban Environmental Industrial Structure Optimization on Ecological Landscape Greening Construction," IJERPH, MDPI, vol. 19(24), pages 1-16, December.
    2. Lv, J. & Li, Y.P. & Huang, G.H. & Ding, Y.K. & Li, X. & Li, Y., 2022. "Planning energy economy and eco-environment nexus system under uncertainty: A copula-based stochastic multi-level programming method," Applied Energy, Elsevier, vol. 312(C).
    3. Maria Markaki & Stelios Papadakis & Anna Putnová, 2021. "A Modern Industrial Policy for the Czech Republic: Optimizing the Structure of Production," Mathematics, MDPI, vol. 9(23), pages 1-20, November.
    4. Pan Jiang & Hanwen Zhang & Mengyue Li & Yuhan Zhang & Xiujuan Gong & Dong He & Liang Liu, 2023. "Research on the Structural Optimization of the Clean Energy Industry in the Context of Dual Carbon Strategy—A Case Study of Sichuan Province, China," Sustainability, MDPI, vol. 15(4), pages 1-21, February.
    5. Zhang, Shuo & Yu, Yadong & Kharrazi, Ali & Ren, Hongtao & Ma, Tieju, 2022. "How can structural change contribute to concurrent sustainability policy targets on GDP, emissions, energy, and employment in China?," Energy, Elsevier, vol. 256(C).

    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. Zhang, Shuo & Yu, Yadong & Kharrazi, Ali & Ren, Hongtao & Ma, Tieju, 2022. "How can structural change contribute to concurrent sustainability policy targets on GDP, emissions, energy, and employment in China?," Energy, Elsevier, vol. 256(C).
    2. Yang Yang & Fan He & Junping Ji & Xin Liu, 2022. "Peaking Carbon Emissions in a Megacity through Economic Restructuring: A Case Study of Shenzhen, China," Energies, MDPI, vol. 15(19), pages 1-24, September.
    3. Arminen, Heli & Menegaki, Angeliki N., 2019. "Corruption, climate and the energy-environment-growth nexus," Energy Economics, Elsevier, vol. 80(C), pages 621-634.
    4. Eyup Dogan & Nigar Taspinar & Korhan K Gokmenoglu, 2019. "Determinants of ecological footprint in MINT countries," Energy & Environment, , vol. 30(6), pages 1065-1086, September.
    5. Jiang, Meihui & An, Haizhong & Gao, Xiangyun & Liu, Donghui & Jia, Nanfei & Xi, Xian, 2020. "Consumption-based multi-objective optimization model for minimizing energy consumption: A case study of China," Energy, Elsevier, vol. 208(C).
    6. Popkova, Elena G. & Sergi, Bruno S., 2021. "Energy efficiency in leading emerging and developed countries," Energy, Elsevier, vol. 221(C).
    7. Zhang, Hanxin & Sun, Wenqiang & Li, Weidong & Ma, Guangyu, 2022. "A carbon flow tracing and carbon accounting method for exploring CO2 emissions of the iron and steel industry: An integrated material–energy–carbon hub," Applied Energy, Elsevier, vol. 309(C).
    8. Wang, Yihan & Wen, Zongguo & Yao, Jianguo & Doh Dinga, Christian, 2020. "Multi-objective optimization of synergic energy conservation and CO2 emission reduction in China's iron and steel industry under uncertainty," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    9. Song, Xiaoxin & Li, Rongrong, 2023. "Tracing and excavating critical paths and sectors for embodied energy consumption in global supply chains: A case study of China," Energy, Elsevier, vol. 284(C).
    10. Shuangping Wu & Anjun Xu, 2021. "Calculation Method of Energy Saving in Process Engineering: A Case Study of Iron and Steel Production Process," Energies, MDPI, vol. 14(18), pages 1-15, September.
    11. Elheddad, Mohamed & Benjasak, Chonlakan & Deljavan, Rana & Alharthi, Majed & Almabrok, Jaballa M., 2021. "The effect of the Fourth Industrial Revolution on the environment: The relationship between electronic finance and pollution in OECD countries," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    12. Frodyma, Katarzyna & Papież, Monika & Śmiech, Sławomir, 2022. "Revisiting the Environmental Kuznets Curve in the European Union countries," Energy, Elsevier, vol. 241(C).
    13. Wang, Qiang & Jiang, Feng & Li, Rongrong, 2022. "Assessing supply chain greenness from the perspective of embodied renewable energy – A data envelopment analysis using multi-regional input-output analysis," Renewable Energy, Elsevier, vol. 189(C), pages 1292-1305.
    14. Li, Yibo & Li, Juan & Sun, Mei & Guo, Yanzi & Cheng, Faxin & Gao, Cuixia, 2024. "Analysis of carbon neutrality technology path selection in the steel industry under policy incentives," Energy, Elsevier, vol. 292(C).
    15. Konstantinos Koasidis & Alexandros Nikas & Hera Neofytou & Anastasios Karamaneas & Ajay Gambhir & Jakob Wachsmuth & Haris Doukas, 2020. "The UK and German Low-Carbon Industry Transitions from a Sectoral Innovation and System Failures Perspective," Energies, MDPI, vol. 13(19), pages 1-34, September.
    16. Sun, Wenqiang & Wang, Qiang & Zhou, Yue & Wu, Jianzhong, 2020. "Material and energy flows of the iron and steel industry: Status quo, challenges and perspectives," Applied Energy, Elsevier, vol. 268(C).
    17. Ke Zhang & Xingwei Wang, 2021. "Pollution Haven Hypothesis of Global CO 2 , SO 2 , NO x —Evidence from 43 Economies and 56 Sectors," IJERPH, MDPI, vol. 18(12), pages 1-27, June.
    18. Shi, Changfeng & Zhi, Jiaqi & Yao, Xiao & Zhang, Hong & Yu, Yue & Zeng, Qingshun & Li, Luji & Zhang, Yuxi, 2023. "How can China achieve the 2030 carbon peak goal—a crossover analysis based on low-carbon economics and deep learning," Energy, Elsevier, vol. 269(C).
    19. Giedrė Lapinskienė & Kęstutis Peleckis & Neringa Slavinskaitė, 2017. "Energy consumption, economic growth and greenhouse gas emissions in the European Union countries," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 18(6), pages 1082-1097, November.
    20. Hu, Xueyue & Wang, Chunying & Elshkaki, Ayman, 2024. "Material-energy Nexus: A systematic literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(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:eee:energy:v:237:y:2021:i:c:s0360544221018983. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    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.