IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v238y2022ipas0360544221018831.html
   My bibliography  Save this article

Research on the driving effect of production electricity consumption changes in the Yangtze River Economic Zone - Based on regional and industrial perspectives

Author

Listed:
  • Shi, Changfeng
  • Zhao, Yi
  • Zhang, Chenjun
  • Pang, Qinghua
  • Chen, Qiyong
  • Li, Ang

Abstract

In this study, the LMDI method is used to decompose the production power consumption changes of the Yangtze River Economic Zone into an advanced technology effect, structural effect, income effect, and population effect. The regional and industry differences in the driving effect of electricity consumption change are also investigated. From the perspective of time differences, the progress of power-saving technology is the main factor restraining the growth of electricity consumption; whereas, economic growth, industry structure adjustment, and population size adjustment promote the growth of electricity consumption; and the other three influencing factors, in turn, decrease. From the perspective of regional differences, regional electricity consumption varies significantly, and various regions have great room for improvement in industry structure. Regional population affects electricity consumption from two aspects: absolute population quantity change and population mobility. From the perspective of industry differences, electricity consumption varies significantly among industries and is mainly reflected in the effect of technological progress and structural effects. As a result, control measures on electricity consumption in the Yangtze River Economic Zone should focus on the promotion of power-saving technology and industry structure adjustment.

Suggested Citation

  • Shi, Changfeng & Zhao, Yi & Zhang, Chenjun & Pang, Qinghua & Chen, Qiyong & Li, Ang, 2022. "Research on the driving effect of production electricity consumption changes in the Yangtze River Economic Zone - Based on regional and industrial perspectives," Energy, Elsevier, vol. 238(PA).
  • Handle: RePEc:eee:energy:v:238:y:2022:i:pa:s0360544221018831
    DOI: 10.1016/j.energy.2021.121635
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544221018831
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2021.121635?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. 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.
    2. Hamisu S. Ali & Solomon P. Nathaniel & Gizem Uzuner & Festus V. Bekun & Samuel A. Sarkodie, 2020. "Trivariate Modelling of the Nexus between Electricity Consumption, Urbanization and Economic Growth in Nigeria: Fresh Insights from Maki Cointegration and Causality Tests," Research Africa Network Working Papers 20/010, Research Africa Network (RAN).
    3. Muhammad Shahbaz & Rashid Sbia & Helmi Hamdi & Ilhan Ozturk, 2014. "Economic growth, electricity consumption, urbanization and environmental degradation relationship in United Arab Emirates," Post-Print halshs-01902764, HAL.
    4. Lin, Boqiang & Liu, Chang, 2016. "Why is electricity consumption inconsistent with economic growth in China?," Energy Policy, Elsevier, vol. 88(C), pages 310-316.
    5. Nepal, Rabindra & Paija, Nirash, 2019. "Energy security, electricity, population and economic growth: The case of a developing South Asian resource-rich economy," Energy Policy, Elsevier, vol. 132(C), pages 771-781.
    6. Du, Kerui & Lin, Boqiang, 2015. "Understanding the rapid growth of China's energy consumption: A comprehensive decomposition framework," Energy, Elsevier, vol. 90(P1), pages 570-577.
    7. Achour, Houda & Belloumi, Mounir, 2016. "Decomposing the influencing factors of energy consumption in Tunisian transportation sector using the LMDI method," Transport Policy, Elsevier, vol. 52(C), pages 64-71.
    8. Niu, Shuwen & Jia, Yanqin & Ye, Liqiong & Dai, Runqi & Li, Na, 2016. "Does electricity consumption improve residential living status in less developed regions? An empirical analysis using the quantile regression approach," Energy, Elsevier, vol. 95(C), pages 550-560.
    9. Ang, B.W., 2015. "LMDI decomposition approach: A guide for implementation," Energy Policy, Elsevier, vol. 86(C), pages 233-238.
    10. Fang, Debin & Hao, Peng & Yu, Qian & Wang, Jiancheng, 2020. "The impacts of electricity consumption in China's key economic regions," Applied Energy, Elsevier, vol. 267(C).
    11. Wu, Cheng-Feng & Wang, Chien-Ming & Chang, Tsangyao & Yuan, Chien-Chung, 2019. "The nexus of electricity and economic growth in major economies: The United States-India-China triangle," Energy, Elsevier, vol. 188(C).
    12. Ma, Chunbo, 2014. "A multi-fuel, multi-sector and multi-region approach to index decomposition: An application to China's energy consumption 1995–2010," Energy Economics, Elsevier, vol. 42(C), pages 9-16.
    13. Abbas, Faisal & Choudhury, Nirmalya, 2013. "Electricity consumption-economic growth Nexus: An aggregated and disaggregated causality analysis in India and Pakistan," Journal of Policy Modeling, Elsevier, vol. 35(4), pages 538-553.
    14. Chuan Sun & Hao Jiao & Yun Ren, 2014. "Regional Informatization and Economic Growth in Japan: An Empirical Study Based on Spatial Econometric Analysis," Sustainability, MDPI, vol. 6(10), pages 1-21, October.
    15. Lin, Jiang & Xu Liu, & Gang He,, 2020. "Regional electricity demand and economic transition in China," Utilities Policy, Elsevier, vol. 64(C).
    16. Keita Honjo & Hiroto Shiraki & Shuichi Ashina, 2018. "Dynamic linear modeling of monthly electricity demand in Japan: Time variation of electricity conservation effect," PLOS ONE, Public Library of Science, vol. 13(4), pages 1-23, April.
    17. Ang, B. W., 2005. "The LMDI approach to decomposition analysis: a practical guide," Energy Policy, Elsevier, vol. 33(7), pages 867-871, May.
    18. Ghosh, Sajal, 2009. "Electricity supply, employment and real GDP in India: evidence from cointegration and Granger-causality tests," Energy Policy, Elsevier, vol. 37(8), pages 2926-2929, August.
    19. De Oliveira-De Jesus, Paulo M., 2019. "Effect of generation capacity factors on carbon emission intensity of electricity of Latin America & the Caribbean, a temporal IDA-LMDI analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 101(C), pages 516-526.
    20. Berger, Thomas, 2001. "Agent-based spatial models applied to agriculture: a simulation tool for technology diffusion, resource use changes and policy analysis," Agricultural Economics, Blackwell, vol. 25(2-3), pages 245-260, September.
    21. An, Hui & Xu, Jianjun & Ma, Xuejiao, 2020. "Does technological progress and industrial structure reduce electricity consumption? Evidence from spatial and heterogeneity analysis," Structural Change and Economic Dynamics, Elsevier, vol. 52(C), pages 206-220.
    22. Fernández González, P. & Landajo, M. & Presno, M.J., 2014. "Multilevel LMDI decomposition of changes in aggregate energy consumption. A cross country analysis in the EU-27," Energy Policy, Elsevier, vol. 68(C), pages 576-584.
    23. Lin, Boqiang & Zhu, Junpeng, 2020. "Chinese electricity demand and electricity consumption efficiency: Do the structural changes matter?," Applied Energy, Elsevier, vol. 262(C).
    24. Ozturk, Ilhan & Acaravci, Ali, 2011. "Electricity consumption and real GDP causality nexus: Evidence from ARDL bounds testing approach for 11 MENA countries," Applied Energy, Elsevier, vol. 88(8), pages 2885-2892, August.
    25. Lei Liu & Tong Wu & Zhihang Xu & Xiaofeng Pan, 2018. "The Water-Economy Nexus and Sustainable Transition of the Pearl River Delta, China (1999–2015)," Sustainability, MDPI, vol. 10(8), pages 1-15, July.
    26. Payne, James E., 2010. "A survey of the electricity consumption-growth literature," Applied Energy, Elsevier, vol. 87(3), pages 723-731, March.
    27. Al-Bajjali, Saif Kayed & Shamayleh, Adel Yacoub, 2018. "Estimating the determinants of electricity consumption in Jordan," Energy, Elsevier, vol. 147(C), pages 1311-1320.
    28. Chong, ChinHao & Liu, Pei & Ma, Linwei & Li, Zheng & Ni, Weidou & Li, Xu & Song, Shizhong, 2017. "LMDI decomposition of energy consumption in Guangdong Province, China, based on an energy allocation diagram," Energy, Elsevier, vol. 133(C), pages 525-544.
    29. Fang, Debin & Hao, Peng & Hao, Jian, 2019. "Study of the influence mechanism of China's electricity consumption based on multi-period ST-LMDI model," Energy, Elsevier, vol. 170(C), pages 730-743.
    30. Soytas, Ugur & Sari, Ramazan, 2003. "Energy consumption and GDP: causality relationship in G-7 countries and emerging markets," Energy Economics, Elsevier, vol. 25(1), pages 33-37, January.
    31. Nadimi, Reza & Tokimatsu, Koji, 2018. "Modeling of quality of life in terms of energy and electricity consumption," Applied Energy, Elsevier, vol. 212(C), pages 1282-1294.
    32. Zhang, Chi & Zhou, Kaile & Yang, Shanlin & Shao, Zhen, 2017. "On electricity consumption and economic growth in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 353-368.
    33. Wai-Ming To & Peter Ka Chun Lee & Tsz-Ming Lai, 2017. "Modeling of Monthly Residential and Commercial Electricity Consumption Using Nonlinear Seasonal Models—The Case of Hong Kong," Energies, MDPI, vol. 10(7), pages 1-16, June.
    34. Acaravci, Ali & Ozturk, Ilhan, 2010. "Electricity consumption-growth nexus: Evidence from panel data for transition countries," Energy Economics, Elsevier, vol. 32(3), pages 604-608, May.
    35. Qiu, Yueming & Anadon, Laura D., 2012. "The price of wind power in China during its expansion: Technology adoption, learning-by-doing, economies of scale, and manufacturing localization," Energy Economics, Elsevier, vol. 34(3), pages 772-785.
    36. Wang, W.W. & Zhang, M. & Zhou, M., 2011. "Using LMDI method to analyze transport sector CO2 emissions in China," Energy, Elsevier, vol. 36(10), pages 5909-5915.
    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. Jia, Zhijie & Wen, Shiyan & Wang, Yao, 2023. "Power coming from the sky: Economic benefits of inter-regional power transmission in China," Energy Economics, Elsevier, vol. 119(C).
    2. Xu, Zhongwen & Tan, Shiqi & Yao, Liming & Lv, Chengwei, 2024. "Exploring water-saving potentials of US electric power transition while thirsting for carbon neutrality," Energy, Elsevier, vol. 292(C).
    3. Ma, Guangcheng & Qin, Jiahong & Zhang, Yumeng, 2023. "Does the carbon emissions trading system reduce carbon emissions by promoting two-way FDI in developing countries? Evidence from Chinese listed companies and cities," Energy Economics, Elsevier, vol. 120(C).
    4. Lin, Boqiang & Huang, Chenchen, 2023. "How will promoting the digital economy affect electricity intensity?," Energy Policy, Elsevier, vol. 173(C).
    5. Cui, Yin, 2023. "The influencing factors of carrying capacity of urban electricity infrastructure: Case study of six Chinese mega-cities," Energy, Elsevier, vol. 282(C).
    6. Pang, Qinghua & Dong, Xianwei & Zhang, Lina & Chiu, Yung-ho, 2023. "Drivers and key pathways of the household energy consumption in the Yangtze river economic belt," Energy, Elsevier, vol. 262(PA).
    7. Haobo Chen & Shangyu Liu & Yaoqiu Kuang & Jie Shu & Zetao Ma, 2023. "Decomposition Analysis of Regional Electricity Consumption Drivers Considering Carbon Emission Constraints: A Comparison of Guangdong and Yunnan Provinces in China," Energies, MDPI, vol. 16(24), pages 1-25, December.
    8. Tao Lv & Duyang Pi & Xu Deng & Xiaoran Hou & Jie Xu & Liya Wang, 2022. "Spatiotemporal Evolution and Influencing Factors of Electricity Consumption in the Yangtze River Delta Region," Energies, MDPI, vol. 15(5), pages 1-12, February.

    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. Jiang, Shan & Zhu, Yongnan & He, Guohua & Wang, Qingming & Lu, Yajing, 2020. "Factors influencing China’s non-residential power consumption: Estimation using the Kaya–LMDI methods," Energy, Elsevier, vol. 201(C).
    2. Zhang, Chi & Zhou, Kaile & Yang, Shanlin & Shao, Zhen, 2017. "On electricity consumption and economic growth in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 353-368.
    3. Boqiang Lin, & Wang, Miao, 2019. "Possibilities of decoupling for China’s energy consumption from economic growth: A temporal-spatial analysis," Energy, Elsevier, vol. 185(C), pages 951-960.
    4. Khraief, Naceur & Shahbaz, Muhammad & Mallick, Hrushikesh & Loganathan, Nanthakumar, 2016. "Estimation of Electricity Demand Function for Algeria: Revisit of Time Series Analysis," MPRA Paper 74870, University Library of Munich, Germany, revised 01 Nov 2016.
    5. Fang, Debin & Hao, Peng & Hao, Jian, 2019. "Study of the influence mechanism of China's electricity consumption based on multi-period ST-LMDI model," Energy, Elsevier, vol. 170(C), pages 730-743.
    6. Trotta, Gianluca, 2020. "Assessing energy efficiency improvements and related energy security and climate benefits in Finland: An ex post multi-sectoral decomposition analysis," Energy Economics, Elsevier, vol. 86(C).
    7. Jamal BOUOIYOUR & Refk SELMI & Ilhan OZTURK, 2014. "The Nexus between Electricity Consumption and Economic Growth: New Insights from Meta-Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 4(4), pages 621-635.
    8. Wang, Miao & Feng, Chao, 2018. "Decomposing the change in energy consumption in China's nonferrous metal industry: An empirical analysis based on the LMDI method," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2652-2663.
    9. Wang, Miao & Feng, Chao, 2021. "The consequences of industrial restructuring, regional balanced development, and market-oriented reform for China's carbon dioxide emissions: A multi-tier meta-frontier DEA-based decomposition analysi," Technological Forecasting and Social Change, Elsevier, vol. 164(C).
    10. Gurgul, Henryk & Lach, Łukasz, 2012. "The electricity consumption versus economic growth of the Polish economy," Energy Economics, Elsevier, vol. 34(2), pages 500-510.
    11. Yunlong Zhao & Geng Kong & Chin Hao Chong & Linwei Ma & Zheng Li & Weidou Ni, 2021. "How to Effectively Control Energy Consumption Growth in China’s 29 Provinces: A Paradigm of Multi-Regional Analysis Based on EAALMDI Method," Sustainability, MDPI, vol. 13(3), pages 1-26, January.
    12. Tao Lv & Duyang Pi & Xu Deng & Xiaoran Hou & Jie Xu & Liya Wang, 2022. "Spatiotemporal Evolution and Influencing Factors of Electricity Consumption in the Yangtze River Delta Region," Energies, MDPI, vol. 15(5), pages 1-12, February.
    13. Luo, Yulong & Zeng, Weiliang & Wang, Yueqiang & Li, Danzhou & Hu, Xianbiao & Zhang, Hua, 2021. "A hybrid approach for examining the drivers of energy consumption in Shanghai," Renewable and Sustainable Energy Reviews, Elsevier, vol. 151(C).
    14. Isik, Mine & Sarica, Kemal & Ari, Izzet, 2020. "Driving forces of Turkey's transportation sector CO2 emissions: An LMDI approach," Transport Policy, Elsevier, vol. 97(C), pages 210-219.
    15. 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.
    16. Liu, Ningyin & Zhang, Yan & Fath, Brian D., 2021. "The material metabolism characteristics and growth patterns of the central cities of China's Beijing-Tianjin-Hebei region," Ecological Modelling, Elsevier, vol. 448(C).
    17. Xue-Ting Jiang & Min Su & Rongrong Li, 2018. "Decomposition Analysis in Electricity Sector Output from Carbon Emissions in China," Sustainability, MDPI, vol. 10(9), pages 1-18, September.
    18. Abbasi, Kashif Raza & Abbas, Jaffar & Tufail, Muhammad, 2021. "Revisiting electricity consumption, price, and real GDP: A modified sectoral level analysis from Pakistan," Energy Policy, Elsevier, vol. 149(C).
    19. Wang, Qiang & Jiang, Xue-ting & Li, Rongrong, 2017. "Comparative decoupling analysis of energy-related carbon emission from electric output of electricity sector in Shandong Province, China," Energy, Elsevier, vol. 127(C), pages 78-88.
    20. Koščak Kolin, Sonja & Karasalihović Sedlar, Daria & Kurevija, Tomislav, 2021. "Relationship between electricity and economic growth for long-term periods: New possibilities for energy prediction," Energy, Elsevier, vol. 228(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:238:y:2022:i:pa:s0360544221018831. 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.