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

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  • 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.

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  • 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
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    as
    1. 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).
    2. 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).
    3. 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).
    4. 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).
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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).
    11. Lin, Boqiang & Kuang, Yunming, 2020. "Natural gas subsidies in the industrial sector in China: National and regional perspectives," Applied Energy, Elsevier, vol. 260(C).
    12. 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).
    13. 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).
    14. 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.
    15. 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.
    16. 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.
    17. 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).
    18. 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).
    19. Lin, Boqiang & Kuang, Yunming, 2020. "Household heterogeneity impact of removing energy subsidies in China: Direct and indirect effect," Energy Policy, Elsevier, vol. 147(C).
    20. 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.
    21. 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).
    22. 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).
    23. 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.
    24. 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).
    25. 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.
    26. 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.
    27. 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).
    28. Shepard, Jun U. & Pratson, Lincoln F., 2020. "Hybrid input-output analysis of embodied energy security," Applied Energy, Elsevier, vol. 279(C).
    29. 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.
    30. Li, Kong & Xianzhong, Mu & Guangwen, Hu, 2021. "A decomposing analysis of productive and residential energy consumption in Beijing," Energy, Elsevier, vol. 226(C).
    31. 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).
    32. 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.
    33. 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).
    34. 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.
    35. 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).
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