IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v143y2020ics0301421520303001.html
   My bibliography  Save this article

The optimization of regional industrial structure under the water-energy constraint: A case study on Hebei Province in China

Author

Listed:
  • Liu, Yazhou
  • Bian, Jiacong
  • Li, Xiangmei
  • Liu, Shuyi
  • Lageson, David
  • Yin, Yingkai

Abstract

Because of the rapid development of the economy, the shortages of water and energy in northern China have reached crisis levels. Solving the contradiction between economic development and resource constraint is a significant problem in China. Based on the 2000–2017 panel data of Hebei Province, a significant arid and semi-arid region in the north of China, this paper tries to create a valid path to resolve water-energy problems by calculating the growth driving factors of the industrial water-energy with LMDI Model, then plans the internal structure of the industrial sector through the linear programming model. The results show: (1) The seeking of the growth of gross domestic product (GDP) is the essential factor that promotes the increasing of water-energy crises; while, industrial sectors' structural adjustments will boost efficiency and performance of water and energy. (2) The primary industry in Hebei province plays the main key to energy conservation; meanwhile, reducing the proportion of crops with high water consumption is an excellent way to alleviate the shortage of water resources. (3) Manufacturing sectors’ structural adjustments, especially reducing the proportion of heavy industry sectors, will provide an essential means to foster water-energy efficiency; at the same time, increasing the proportion of tertiary industry can well balance the relationship between economic growth and water energy utilization. Finally, this paper provides a possible path for the optimization and adjustment of industrial-economic restructuring through emphasizing sustainable solutions of industrial-economic interactions under the situation of water-energy constraint in Hebei province.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:enepol:v:143:y:2020:i:c:s0301421520303001
    DOI: 10.1016/j.enpol.2020.111558
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421520303001
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.enpol.2020.111558?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. Tom Gleeson & Yoshihide Wada & Marc F. P. Bierkens & Ludovicus P. H. van Beek, 2012. "Water balance of global aquifers revealed by groundwater footprint," Nature, Nature, vol. 488(7410), pages 197-200, August.
    2. Ang, B. W., 2004. "Decomposition analysis for policymaking in energy:: which is the preferred method?," Energy Policy, Elsevier, vol. 32(9), pages 1131-1139, June.
    3. Ang, B.W., 2015. "LMDI decomposition approach: A guide for implementation," Energy Policy, Elsevier, vol. 86(C), pages 233-238.
    4. Cogoljević, Dušan & Alizamir, Meysam & Piljan, Ivan & Piljan, Tatjana & Prljić, Katarina & Zimonjić, Stefan, 2018. "A machine learning approach for predicting the relationship between energy resources and economic development," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 495(C), pages 211-214.
    5. Ang, B.W. & Liu, F.L., 2001. "A new energy decomposition method: perfect in decomposition and consistent in aggregation," Energy, Elsevier, vol. 26(6), pages 537-548.
    6. B. W. Ang & Ki-Hong Choi, 1997. "Decomposition of Aggregate Energy and Gas Emission Intensities for Industry: A Refined Divisia Index Method," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 59-73.
    7. Ang, B. W., 2005. "The LMDI approach to decomposition analysis: a practical guide," Energy Policy, Elsevier, vol. 33(7), pages 867-871, May.
    8. Jenne, C. A. & Cattell, R. K., 1983. "Structural change and energy efficiency in industry," Energy Economics, Elsevier, vol. 5(2), pages 114-123, April.
    9. Serrano, Susana & Ürge-Vorsatz, Diana & Barreneche, Camila & Palacios, Anabel & Cabeza, Luisa F., 2017. "Heating and cooling energy trends and drivers in Europe," Energy, Elsevier, vol. 119(C), pages 425-434.
    10. Nathaniel D. Mueller & James S. Gerber & Matt Johnston & Deepak K. Ray & Navin Ramankutty & Jonathan A. Foley, 2012. "Closing yield gaps through nutrient and water management," Nature, Nature, vol. 490(7419), pages 254-257, October.
    11. Li, Xian & Yang, Lili & Zheng, Heran & Shan, Yuli & Zhang, Zongyong & Song, Malin & Cai, Bofeng & Guan, Dabo, 2019. "City-level water-energy nexus in Beijing-Tianjin-Hebei region," Applied Energy, Elsevier, vol. 235(C), pages 827-834.
    12. Jiang, Lu & Yu, Lu & Xue, Bing & Chen, Xingpeng & Mi, Zhifu, 2020. "Who is energy poor? Evidence from the least developed regions in China," Energy Policy, Elsevier, vol. 137(C).
    13. Li, Ke & Lin, Boqiang, 2014. "The nonlinear impacts of industrial structure on China's energy intensity," Energy, Elsevier, vol. 69(C), pages 258-265.
    14. Zheng, Heran & Shan, Yuli & Mi, Zhifu & Meng, Jing & Ou, Jiamin & Schroeder, Heike & Guan, Dabo, 2018. "How modifications of China's energy data affect carbon mitigation targets," Energy Policy, Elsevier, vol. 116(C), pages 337-343.
    15. Howarth, Richard B. & Schipper, Lee & Duerr, Peter A. & Strøm, Steinar, 1991. "Manufacturing energy use in eight OECD countries : Decomposing the impacts of changes in output, industry structure and energy intensity," Energy Economics, Elsevier, vol. 13(2), pages 135-142, April.
    16. P. Greve & T. Kahil & J. Mochizuki & T. Schinko & Y. Satoh & P. Burek & G. Fischer & S. Tramberend & R. Burtscher & S. Langan & Y. Wada, 2018. "Global assessment of water challenges under uncertainty in water scarcity projections," Nature Sustainability, Nature, vol. 1(9), pages 486-494, September.
    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. 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).
    3. Hanxiao Wei & Huiqin Yao, 2022. "Environmental Regulation, Roundabout Production, and Industrial Structure Transformation and Upgrading: Evidence from China," Sustainability, MDPI, vol. 14(7), pages 1-17, March.
    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. Wang, Hongli & Guo, Jinguang, 2024. "New way out of efficiency-equity dilemma: Digital technology empowerment for local government environmental governance," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    6. Zhang, Kai & Zhang, Yiyi & Xi, Shan & Liu, Jiefeng & Li, Jiashuo & Hou, Shengren & Chen, Bin, 2022. "Multi-objective optimization of energy-water nexus from spatial resource reallocation perspective in China," Applied Energy, Elsevier, vol. 314(C).
    7. Yang Wei & Boyang Sun, 2021. "Optimizing Water Use Structures in Resource-Based Water-Deficient Regions Using Water Resources Input–Output Analysis: A Case Study in Hebei Province, China," Sustainability, MDPI, vol. 13(7), pages 1-15, April.
    8. Popkova, Elena G. & Sergi, Bruno S., 2021. "Energy efficiency in leading emerging and developed countries," Energy, Elsevier, vol. 221(C).
    9. Wang, Yang & Liu, Yongzhang & Huang, Liqiao & Zhang, Qingyu & Gao, Wei & Sun, Qian & Li, Xi, 2022. "Decomposition the driving force of regional electricity consumption in Japan from 2001 to 2015," Applied Energy, Elsevier, vol. 308(C).
    10. 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.

    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. Román-Collado, Rocío & Colinet, María José, 2018. "Are labour productivity and residential living standards drivers of the energy consumption changes?," Energy Economics, Elsevier, vol. 74(C), pages 746-756.
    2. Jeong, Kyonghwa & Kim, Suyi, 2013. "LMDI decomposition analysis of greenhouse gas emissions in the Korean manufacturing sector," Energy Policy, Elsevier, vol. 62(C), pages 1245-1253.
    3. Román-Collado, Rocío & Morales-Carrión, Any Viviana, 2018. "Towards a sustainable growth in Latin America: A multiregional spatial decomposition analysis of the driving forces behind CO2 emissions changes," Energy Policy, Elsevier, vol. 115(C), pages 273-280.
    4. Mariana Conte Grand, 2018. "Desacople y Descomposición del Consumo Final de Energía en Argentina," CEMA Working Papers: Serie Documentos de Trabajo. 678, Universidad del CEMA.
    5. Román-Collado, Rocío & Cansino, José M. & Botia, Camilo, 2018. "How far is Colombia from decoupling? Two-level decomposition analysis of energy consumption changes," Energy, Elsevier, vol. 148(C), pages 687-700.
    6. Lin, Yuancheng & Ma, Linwei & Li, Zheng & Ni, Weidou, 2023. "The carbon reduction potential by improving technical efficiency from energy sources to final services in China: An extended Kaya identity analysis," Energy, Elsevier, vol. 263(PE).
    7. Yuancheng Lin & Chinhao Chong & Linwei Ma & Zheng Li & Weidou Ni, 2021. "Analysis of Changes in the Aggregate Exergy Efficiency of China’s Energy System from 2005 to 2015," Energies, MDPI, vol. 14(8), pages 1-27, April.
    8. Maamar Traich & Amal Rahmane, 2022. "LMDI decomposition analysis of CO2 emissions in Algeria during 2000-2019 and the role of energy policy in reducing emission," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2022(2), pages 83-106.
    9. Lin, Boqiang & Kuang, Yunming, 2020. "Natural gas subsidies in the industrial sector in China: National and regional perspectives," Applied Energy, Elsevier, vol. 260(C).
    10. Lu, I.J. & Lin, Sue J. & Lewis, Charles, 2007. "Decomposition and decoupling effects of carbon dioxide emission from highway transportation in Taiwan, Germany, Japan and South Korea," Energy Policy, Elsevier, vol. 35(6), pages 3226-3235, June.
    11. de Freitas, Luciano Charlita & Kaneko, Shinji, 2011. "Decomposition of CO2 emissions change from energy consumption in Brazil: Challenges and policy implications," Energy Policy, Elsevier, vol. 39(3), pages 1495-1504, March.
    12. Wang, Miao & Feng, Chao, 2017. "Analysis of energy-related CO2 emissions in China’s mining industry: Evidence and policy implications," Resources Policy, Elsevier, vol. 53(C), pages 77-87.
    13. Fernández-Amador, Octavio & Francois, Joseph F. & Oberdabernig, Doris A. & Tomberger, Patrick, 2023. "Energy footprints and the international trade network: A new dataset. Is the European Union doing it better?," Ecological Economics, Elsevier, vol. 204(PA).
    14. 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.
    15. Zhang, Chenjun & Wu, Yusi & Yu, Yu, 2020. "Spatial decomposition analysis of water intensity in China," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    16. Zbigniew Golas, 2020. "The Driving Forces of Change in Energy-related CO2 Emissions in the Polish Iron and Steel Industry in 1990-2017," International Journal of Energy Economics and Policy, Econjournals, vol. 10(5), pages 94-102.
    17. Cansino, José M. & Román-Collado, Rocío & Merchán, José, 2019. "Do Spanish energy efficiency actions trigger JEVON’S paradox?," Energy, Elsevier, vol. 181(C), pages 760-770.
    18. Md. Afzal Hossain & Jean Engo & Songsheng Chen, 2021. "The main factors behind Cameroon’s CO2 emissions before, during and after the economic crisis of the 1980s," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(3), pages 4500-4520, March.
    19. Lin, Boqiang & Ouyang, Xiaoling, 2014. "Analysis of energy-related CO2 (carbon dioxide) emissions and reduction potential in the Chinese non-metallic mineral products industry," Energy, Elsevier, vol. 68(C), pages 688-697.
    20. Fernández González, P. & Landajo, M. & Presno, M.J., 2014. "Tracking European Union CO2 emissions through LMDI (logarithmic-mean Divisia index) decomposition. The activity revaluation approach," Energy, Elsevier, vol. 73(C), pages 741-750.

    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:enepol:v:143:y:2020:i:c:s0301421520303001. 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.elsevier.com/locate/enpol .

    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.