IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v262y2023ipas0360544222022861.html
   My bibliography  Save this article

Drivers and key pathways of the household energy consumption in the Yangtze river economic belt

Author

Listed:
  • Pang, Qinghua
  • Dong, Xianwei
  • Zhang, Lina
  • Chiu, Yung-ho

Abstract

The Yangtze River Economic Belt (YREB) is one of the most energy-consuming regions in China, accounting for 36% of the nation's total energy consumption in 2019. The fundamental purpose of productive activities in production sectors is to meet the increasing consumption demand of the household sector. The household sector plays an important role in promoting energy consumption. Taking the household energy consumption in the YREB as the research object, we establish a hybrid multi-regional input-output model and analyze the drivers of the household energy consumption by using the structural decomposition analysis method. The results show that the energy intensity is the main factor inhibiting energy consumption while the energy structure and the urban-rural consumption per capita are the main factors promoting the energy consumption. Furthermore, we use the structural path betweenness method to identify the critical transmission sectors and the key pathways. It can be found that energy sectors, manufacturing sectors and transportation sectors play important roles in energy transfer. Among them, energy from sector S1 mainly flows to sector S4, energy from sector S2 mainly flows to sector S3, while energy from sector S3 and sector S4 mainly flows to manufacturing sectors. The above results are expected to provide strong evidence for energy consumption reform in the YREB.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:energy:v:262:y:2023:i:pa:s0360544222022861
    DOI: 10.1016/j.energy.2022.125404
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544222022861
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2022.125404?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. Kehan He & Zhifu Mi & Long Chen & D'Maris Coffman & Sai Liang, 2021. "Critical transmission sectors in embodied atmospheric mercury emission network in China," Journal of Industrial Ecology, Yale University, vol. 25(6), pages 1644-1656, December.
    2. Peter Kapalo & Silvia Vilčeková & Ľudmila Mečiarová & Florin Domnita & Mariusz Adamski, 2020. "Influence of Indoor Climate on Employees in Office Buildings—A Case Study," Sustainability, MDPI, vol. 12(14), pages 1-11, July.
    3. Lin, Boqiang & Kuang, Yunming, 2020. "Household heterogeneity impact of removing energy subsidies in China: Direct and indirect effect," Energy Policy, Elsevier, vol. 147(C).
    4. Li Huang & Scott Kelly & Xuan Lu & Kangjuan Lv & Xunpeng Shi & Damien Giurco, 2019. "Carbon Communities and Hotspots for Carbon Emissions Reduction in China," Sustainability, MDPI, vol. 11(19), pages 1-29, October.
    5. Wang, Shubin & Sun, Shaolong & Zhao, Erlong & Wang, Shouyang, 2021. "Urban and rural differences with regional assessment of household energy consumption in China," Energy, Elsevier, vol. 232(C).
    6. Shepard, Jun U. & Pratson, Lincoln F., 2020. "Hybrid input-output analysis of embodied energy security," Applied Energy, Elsevier, vol. 279(C).
    7. Niu, Shuwen & Li, Zhen & Qiu, Xin & Dai, Runqi & Wang, Xiang & Qiang, Wenli & Hong, Zhenguo, 2019. "Measurement of effective energy consumption in China's rural household sector and policy implication," Energy Policy, Elsevier, vol. 128(C), pages 553-564.
    8. Lv, Yulan & Chen, Wei & Cheng, Jianquan, 2019. "Modelling dynamic impacts of urbanization on disaggregated energy consumption in China: A spatial Durbin modelling and decomposition approach," Energy Policy, Elsevier, vol. 133(C).
    9. Zhang, Hui-min & Feng, Tian-tian & Yang, Yi-sheng, 2022. "Influencing factors and critical path of inter-sector embodied heavy rare earth consumption in China," Resources Policy, Elsevier, vol. 75(C).
    10. Hanaka, Tesshu & Kagawa, Shigemi & Ono, Hirotaka & Kanemoto, Keiichiro, 2017. "Finding environmentally critical transmission sectors, transactions, and paths in global supply chain networks," Energy Economics, Elsevier, vol. 68(C), pages 44-52.
    11. Li, Zheng & Pan, Lingying & Fu, Feng & Liu, Pei & Ma, Linwei & Amorelli, Angelo, 2014. "China's regional disparities in energy consumption: An input–output analysis," Energy, Elsevier, vol. 78(C), pages 426-438.
    12. Ayman Alhejji & Alban Kuriqi & Jakub Jurasz & Farag K. Abo-Elyousr, 2021. "Energy Harvesting and Water Saving in Arid Regions via Solar PV Accommodation in Irrigation Canals," Energies, MDPI, vol. 14(9), pages 1-24, May.
    13. Tian, Peng & Lin, Boqiang, 2017. "Promoting green productivity growth for China's industrial exports: Evidence from a hybrid input-output model," Energy Policy, Elsevier, vol. 111(C), pages 394-402.
    14. Zi, Cao & Qian, Meng & Baozhong, Gao, 2021. "The consumption patterns and determining factors of rural household energy: A case study of Henan Province in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    15. Zeng, Sheng & Su, Bin & Zhang, Minglong & Gao, Yuan & Liu, Jun & Luo, Song & Tao, Qingmei, 2021. "Analysis and forecast of China's energy consumption structure," Energy Policy, Elsevier, vol. 159(C).
    16. Li, Lanlan & Ming, Huayang & Fu, Weizhong & Shi, Quan & Yu, Shiwei, 2021. "Exploring household natural gas consumption patterns and their influencing factors: An integrated clustering and econometric method," Energy, Elsevier, vol. 224(C).
    17. Tang, Liwei & He, Gang, 2021. "How to improve total factor energy efficiency? An empirical analysis of the Yangtze River economic belt of China," Energy, Elsevier, vol. 235(C).
    18. Román-Collado, Rocío & Colinet, Maria José, 2018. "Is energy efficiency a driver or an inhibitor of energy consumption changes in Spain? Two decomposition approaches," Energy Policy, Elsevier, vol. 115(C), pages 409-417.
    19. Huang, Junbing & Wang, Yajun & Guo, Lili, 2022. "Energy intensity and energy-specific technological progress: A case study in Guangdong province of China," Renewable Energy, Elsevier, vol. 184(C), pages 990-1001.
    20. 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).
    21. Wang, Xibo & Wei, Wendong & Ge, Jianping & Wu, Bin & Bu, Wei & Li, Jiashuo & Yao, Mingtao & Guan, Qing, 2017. "Embodied rare earths flow between industrial sectors in China: A complex network approach," Resources, Conservation & Recycling, Elsevier, vol. 125(C), pages 363-374.
    22. Shi, Jianglan & Li, Chao & Li, Huajiao, 2022. "Energy consumption in China's ICT sectors: From the embodied energy perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
    23. Zhang, Hongxia & Hewings, Geoffrey J.D. & Zheng, Xinye, 2019. "The effects of carbon taxation in China: An analysis based on energy input-output model in hybrid units," Energy Policy, Elsevier, vol. 128(C), pages 223-234.
    24. Tu, Chuang & Mu, Xianzhong & Chen, Jian & Kong, Li & Zhang, Zheng & Lu, Yutong & Hu, Guangwen, 2021. "Study on the interactive relationship between urban residents’ expenditure and energy consumption of production sectors," Energy Policy, Elsevier, vol. 157(C).
    25. Yu, Yantuan & Zhang, Ning & Kim, Jong Dae, 2020. "Impact of urbanization on energy demand: An empirical study of the Yangtze River Economic Belt in China," Energy Policy, Elsevier, vol. 139(C).
    26. Ouyang, Xiaoling & Gao, Beiying & Du, Kerui & Du, Gang, 2018. "Industrial sectors' energy rebound effect: An empirical study of Yangtze River Delta urban agglomeration," Energy, Elsevier, vol. 145(C), pages 408-416.
    27. Bin Su & B. W. Ang, 2012. "Structural Decomposition Analysis Applied To Energy And Emissions: Aggregation Issues," Economic Systems Research, Taylor & Francis Journals, vol. 24(3), pages 299-317, March.
    28. Li, Kong & Xianzhong, Mu & Guangwen, Hu, 2021. "A decomposing analysis of productive and residential energy consumption in Beijing," Energy, Elsevier, vol. 226(C).
    29. Meng, Guanfei & Liu, Hongxun & Li, Jianglong & Sun, Chuanwang, 2022. "Determination of driving forces for China's energy consumption and regional disparities using a hybrid structural decomposition analysis," Energy, Elsevier, vol. 239(PC).
    30. Almorox, Javier & Voyant, Cyril & Bailek, Nadjem & Kuriqi, Alban & Arnaldo, J.A., 2021. "Total solar irradiance's effect on the performance of empirical models for estimating global solar radiation: An empirical-based review," Energy, Elsevier, vol. 236(C).
    31. Lin, Boqiang & Kuang, Yunming, 2020. "Natural gas subsidies in the industrial sector in China: National and regional perspectives," Applied Energy, Elsevier, vol. 260(C).
    32. Su, Bin & Ang, B.W., 2012. "Structural decomposition analysis applied to energy and emissions: Some methodological developments," Energy Economics, Elsevier, vol. 34(1), pages 177-188.
    33. Jiang, Ping & Yang, Hufang & Li, Hongmin & Wang, Ying, 2021. "A developed hybrid forecasting system for energy consumption structure forecasting based on fuzzy time series and information granularity," Energy, Elsevier, vol. 219(C).
    34. Kuriqi, Alban & Pinheiro, António N. & Sordo-Ward, Alvaro & Bejarano, María D. & Garrote, Luis, 2021. "Ecological impacts of run-of-river hydropower plants—Current status and future prospects on the brink of energy transition," Renewable and Sustainable Energy Reviews, Elsevier, vol. 142(C).
    35. Jiang, Lu & Xue, Bing & Xing, Ran & Chen, Xingpeng & Song, Lan & Wang, Yutao & Coffman, D’Maris & Mi, Zhifu, 2020. "Rural household energy consumption of farmers and herders in the Qinghai-Tibet Plateau," Energy, Elsevier, vol. 192(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. Xiaowei Fan & Yongtao Chen & Ruimiao Wang & Jiaxin Luo & Jingang Wang & Decheng Cao, 2023. "Integrated Energy Microgrid Economic Dispatch Optimization Model Based on Information-Gap Decision Theory," Energies, MDPI, vol. 16(8), pages 1-24, April.
    2. Sun, Shuyu & Tong, Kangkang, 2024. "Rural-urban inequality in energy use sufficiency and efficiency during a rapid urbanization period," Applied Energy, Elsevier, vol. 364(C).
    3. Pang, Qinghua & Liu, Xuan & Zhang, Lina & Chiu, Yung-ho, 2024. "Temporal-spatial evolution of environmental inequality of embodied energy transfer within inter-provincial trade of China," Energy, Elsevier, vol. 299(C).
    4. Zhu, Qingyuan & Xu, Chengzhen & Pan, Yinghao & Wu, Jie, 2024. "Identifying critical transmission sectors, paths, and carbon communities for CO2 mitigation in global supply chains," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    5. Guo, Ji & Xu, Yuanjing & Qu, Yao & Wang, Yiting & Wu, Xianhua, 2023. "Exploring factors affecting household energy consumption in the internet era: Empirical evidence from Chinese households," Energy Policy, Elsevier, vol. 183(C).
    6. Mao, Hui & Shi, Chaoqian & Tang, Heyan & Lu, Yufeng, 2024. "Time preferences and energy consumption of rural household in China," Energy Economics, Elsevier, vol. 132(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. Meng, Guanfei & Liu, Hongxun & Li, Jianglong & Sun, Chuanwang, 2022. "Determination of driving forces for China's energy consumption and regional disparities using a hybrid structural decomposition analysis," Energy, Elsevier, vol. 239(PC).
    2. Guo, Ji & Xu, Yuanjing & Qu, Yao & Wang, Yiting & Wu, Xianhua, 2023. "Exploring factors affecting household energy consumption in the internet era: Empirical evidence from Chinese households," Energy Policy, Elsevier, vol. 183(C).
    3. Yan, Junna & Su, Bin, 2020. "Spatial differences in energy performance among four municipalities of China: From both the aggregate and final demand perspectives," Energy, Elsevier, vol. 204(C).
    4. Lach, Łukasz, 2022. "Optimization based structural decomposition analysis as a tool for supporting environmental policymaking," Energy Economics, Elsevier, vol. 115(C).
    5. Yan, Junna & Li, Yingzhu & Su, Bin & Ng, Tsan Sheng, 2022. "Contributors and drivers of Chinese energy use and intensity from regional and demand perspectives, 2012-2015-2017," Energy Economics, Elsevier, vol. 115(C).
    6. 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.
    7. Qiumeng Zhong & Hui Li & Sai Liang & Jetashree & Xiaohui Wu & Jianchuan Qi & Shuxiao Wang, 2022. "Changes of production and consumption structures in coastal regions lead to mercury emission control in China," Journal of Industrial Ecology, Yale University, vol. 26(5), pages 1760-1770, October.
    8. Qian, Long & Xu, Xiaolin & Sun, Ying & Zhou, Yunjie, 2022. "Carbon emission reduction effects of eco-industrial park policy in China," Energy, Elsevier, vol. 261(PB).
    9. Zheng, Jiali & Feng, Gengzhong & Ren, Zhuanzhuan & Qi, Nengxi & Coffman, D'Maris & Zhou, Yunlai & Wang, Shouyang, 2022. "China's energy consumption and economic activity at the regional level," Energy, Elsevier, vol. 259(C).
    10. Zhang, Chuanguo & Yu, Xiaoxue & Zhou, Juncen, 2024. "China's embodied oil outflow in GVC participation: Patterns and drivers," Resources Policy, Elsevier, vol. 91(C).
    11. Su, Bin & Goh, Tian & Ang, B.W. & Ng, Tsan Sheng, 2022. "Energy consumption and energy efficiency trends in Singapore: The case of a meticulously planned city," Energy Policy, Elsevier, vol. 161(C).
    12. Darío Serrano-Puente, 2021. "Are we moving toward an energy-efficient low-carbon economy? An input–output LMDI decomposition of CO $$_{2}$$ 2 emissions for Spain and the EU28," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 12(2), pages 151-229, June.
    13. Tian, Xiaoge & Chen, Weiming & Hu, Jinglu, 2023. "Game-theoretic modeling of power supply chain coordination under demand variation in China: A case study of Guangdong Province," Energy, Elsevier, vol. 262(PA).
    14. Yu, Miao & Meng, Bo & Li, Rong, 2022. "Analysis of China's urban household indirect carbon emissions drivers under the background of population aging," Structural Change and Economic Dynamics, Elsevier, vol. 60(C), pages 114-125.
    15. Yan, Junna & Su, Bin, 2020. "What drive the changes in China's energy consumption and intensity during 12th Five-Year Plan period?," Energy Policy, Elsevier, vol. 140(C).
    16. Kerong Zhang & Liangyu Jiang & Wuyi Liu, 2024. "Toward the Construction of a Sustainable Society: Assessing the Temporal Variations and Two-Dimensional Decoupling of Carbon Dioxide Emissions in Anhui Province, China," Sustainability, MDPI, vol. 16(22), pages 1-25, November.
    17. Wei, Wei & Mushtaq, Zulqarnain & Sharif, Maimoona & Zeng, Xiaowu & Wan-Li, Zhang & Qaisrani, Mumtaz A., 2020. "Evaluating the coal rebound effect in energy intensive industries of China," Energy, Elsevier, vol. 207(C).
    18. Sun, Ya-Fang & Yu, Shiwei & Zhang, Yue-Jun & Su, Bin, 2023. "How do imports change the energy consumption of China? An analysis of its role in intermediate inputs and final demands," Energy, Elsevier, vol. 270(C).
    19. Román-Collado, Rocío & Ordoñez, Manuel & Mundaca, Luis, 2018. "Has electricity turned green or black in Chile? A structural decomposition analysis of energy consumption," Energy, Elsevier, vol. 162(C), pages 282-298.
    20. Ma, Shaoyue & Man, Hecheng & Li, Xiao & Xu, Xiangbo & Sun, Mingxing & Xie, Minghui & Zhang, Linxiu, 2023. "How nonfarm employment drives the households’ energy transition: Evidence from rural China," Energy, Elsevier, vol. 267(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:262:y:2023:i:pa:s0360544222022861. 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.