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A study on energy-water-food-carbon nexus in typical Chinese northern rural households

Author

Listed:
  • Liu, Gengyuan
  • Du, Shupan
  • Gao, Yuan
  • Xiong, Xiaoping
  • Lombardi, Ginevra Virginia
  • Meng, Fanxin
  • Chen, Yu
  • Chen, Caocao

Abstract

The energy-water-food-carbon nexus of rural households requires different strategies from those of urban households. This study proposes a nexus framework and a quantitative method to analyze the energy, water, food, and carbon of typical northern rural households in China. A system dynamic model of the rural household energy-water-food-carbon nexus was developed. Three scenarios were designed, namely appliance, behavior, and price, with 42 sub scenarios in total to explore the medium to long-term dynamic changes in energy-water-food-carbon in rural households under different scenarios. The results of the appliance scenario show that there is a strong water-gas and food-gas nexus effect in northern rural households. Compared with the BAU scenario, reducing the consumption of meat and dairy by 5% can save 11.89% of gas and reduce 5.64% of carbon. Moreover, the policy simulation results indicate that a policy will affect not only its target subsystem, but also other subsystems, creating a policy nexus. The behavior adjustment scenarios have a strong nexus effect on water and energy, and resource price adjustment scenarios have a good effect on water and food consumption. Therefore, when making policies at the household level, policy makers need to look at each subsystem comprehensively, use the synergistic effect of policies skillfully and avoid the antagonistic effect of policies, in order to optimize the positive effect of policies.

Suggested Citation

  • Liu, Gengyuan & Du, Shupan & Gao, Yuan & Xiong, Xiaoping & Lombardi, Ginevra Virginia & Meng, Fanxin & Chen, Yu & Chen, Caocao, 2024. "A study on energy-water-food-carbon nexus in typical Chinese northern rural households," Energy Policy, Elsevier, vol. 188(C).
  • Handle: RePEc:eee:enepol:v:188:y:2024:i:c:s0301421524001204
    DOI: 10.1016/j.enpol.2024.114100
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    as
    1. Heard, B.P. & Brook, B.W. & Wigley, T.M.L. & Bradshaw, C.J.A., 2017. "Burden of proof: A comprehensive review of the feasibility of 100% renewable-electricity systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 1122-1133.
    2. Wakiyama, Takako & Kuramochi, Takeshi, 2017. "Scenario analysis of energy saving and CO2 emissions reduction potentials to ratchet up Japanese mitigation target in 2030 in the residential sector," Energy Policy, Elsevier, vol. 103(C), pages 1-15.
    3. Hualin Xie & Yuyang Wen & Yongrok Choi & Xinmin Zhang, 2021. "Global Trends on Food Security Research: A Bibliometric Analysis," Land, MDPI, vol. 10(2), pages 1-21, January.
    4. Liu, Gengyuan & Hu, Junmei & Chen, Caocao & Xu, Linyu & Wang, Ning & Meng, Fanxin & Giannetti, Biagio F. & Agostinho, Feni & Almeida, Cecília M.V. B. & Casazza, Marco, 2021. "LEAP-WEAP analysis of urban energy-water dynamic nexus in Beijing (China)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 136(C).
    5. He, Guohua & Geng, Chenfan & Zhai, Jiaqi & Zhao, Yong & Wang, Qingming & Jiang, Shan & Zhu, Yongnan & Wang, Lizhen, 2021. "Impact of food consumption patterns change on agricultural water requirements: An urban-rural comparison in China," Agricultural Water Management, Elsevier, vol. 243(C).
    6. Frederiks, Elisha R. & Stenner, Karen & Hobman, Elizabeth V., 2015. "Household energy use: Applying behavioural economics to understand consumer decision-making and behaviour," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 1385-1394.
    7. Yang, Meng & Zhang, Xiaolin & Zhang, Yan & Fath, Brian D., 2022. "Consistence of structural changes in food nitrogen consumption between rural and urban residents in the context of rapid urbanization," Ecological Modelling, Elsevier, vol. 471(C).
    8. Stefano Moroni & Valentina Antoniucci & Adriano Bisello, 2019. "Local Energy Communities and Distributed Generation: Contrasting Perspectives, and Inevitable Policy Trade-Offs, beyond the Apparent Global Consensus," Sustainability, MDPI, vol. 11(12), pages 1-16, June.
    9. Linder, Stephen H. & Peters, B. Guy, 1990. "Policy formulation and the challenge of conscious design," Evaluation and Program Planning, Elsevier, vol. 13(3), pages 303-311, January.
    10. Andrius Kažukauskas & Thomas Broberg & Jūratė Jaraitė, 2021. "Social Comparisons in Real Time: A Field Experiment of Residential Electricity and Water Use," Scandinavian Journal of Economics, Wiley Blackwell, vol. 123(2), pages 558-592, April.
    11. Banfi, Silvia & Farsi, Mehdi & Filippini, Massimo & Jakob, Martin, 2008. "Willingness to pay for energy-saving measures in residential buildings," Energy Economics, Elsevier, vol. 30(2), pages 503-516, March.
    12. Haiyan Zhang & Michael L. Lahr, 2018. "Households’ Energy Consumption Change in China: A Multi-Regional Perspective," Sustainability, MDPI, vol. 10(7), pages 1-17, July.
    13. Milan Ščasný & Šarlota Smutná, 2021. "Estimation of price and income elasticity of residential water demand in the Czech Republic over three decades," Journal of Consumer Affairs, Wiley Blackwell, vol. 55(2), pages 580-608, June.
    14. MacCarty, Nordica A. & Bryden, Kenneth Mark, 2017. "Costs and impacts of potential energy strategies for rural households in developing communities," Energy, Elsevier, vol. 138(C), pages 1157-1174.
    15. Xiaoman Yu & Yong Geng & Peter Heck & Bing Xue, 2015. "A Review of China’s Rural Water Management," Sustainability, MDPI, vol. 7(5), pages 1-20, May.
    16. Jialu Liu Streeter, 2017. "Socioeconomic Factors Affecting Food Consumption and Nutrition in China: Empirical Evidence During the 1989–2009 Period," Chinese Economy, Taylor & Francis Journals, vol. 50(3), pages 168-192, May.
    17. Pérez-Urdiales, María & García-Valiñas, María Ángeles, 2016. "Efficient water-using technologies and habits: A disaggregated analysis in the water sector," Ecological Economics, Elsevier, vol. 128(C), pages 117-129.
    18. Rosas-Flores, Jorge Alberto & Rosas-Flores, Dionicio & Fernández Zayas, José Luis, 2016. "Potential energy saving in urban and rural households of Mexico by use of solar water heaters, using geographical information system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 243-252.
    19. Kaufman, Phillip R. & MacDonald, James M. & Lutz, Steve M. & Smallwood, David M., 1997. "Do the Poor Pay More for Food? Item Selection and Price Differences Affect Low-Income Household Food Costs," Agricultural Economic Reports 34065, United States Department of Agriculture, Economic Research Service.
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