IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v192y2020ics0360544219323448.html
   My bibliography  Save this article

Rural household energy consumption of farmers and herders in the Qinghai-Tibet Plateau

Author

Listed:
  • Jiang, Lu
  • Xue, Bing
  • Xing, Ran
  • Chen, Xingpeng
  • Song, Lan
  • Wang, Yutao
  • Coffman, D’Maris
  • Mi, Zhifu

Abstract

Rural energy consumption not only significantly affects the national economy but also informs us about the living conditions of rural residents. A comprehensive survey of households in the agropastoral area of Qinghai Province was conducted from 2017 to 2018 to identify its energy consumption characteristics. In this paper, a typical household energy flow model was established. The results show that 1) the proportion of noncommercial energy in the agropastoral area of Qinghai Province is 52.89%, and it is affected by the ‘returning farmland to forest’ (RFF) policy and the ‘returning grazing land to grassland project’ (RGLGP). Furthermore, the household energy consumption structure has shifted from traditional biomass to coal and a combination of other energy sources. 2) Households of different cultural backgrounds have different energy consumption patterns. 3) High-income households consume more energy and have more frequent energy flows compared with low-income households. The results of this survey will help policymakers and scholars to formulate strategies for energy conservation and more effectively assess energy policies.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:energy:v:192:y:2020:i:c:s0360544219323448
    DOI: 10.1016/j.energy.2019.116649
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544219323448
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2019.116649?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. Chen, Le & Heerink, Nico & van den Berg, Marrit, 2006. "Energy consumption in rural China: A household model for three villages in Jiangxi Province," Ecological Economics, Elsevier, vol. 58(2), pages 407-420, June.
    2. Zheng, Xinye & Wei, Chu & Qin, Ping & Guo, Jin & Yu, Yihua & Song, Feng & Chen, Zhanming, 2014. "Characteristics of residential energy consumption in China: Findings from a household survey," Energy Policy, Elsevier, vol. 75(C), pages 126-135.
    3. Damette, Olivier & Delacote, Philippe & Lo, Gaye Del, 2018. "Households energy consumption and transition toward cleaner energy sources," Energy Policy, Elsevier, vol. 113(C), pages 751-764.
    4. Lu Jiang & Xingpeng Chen & Bing Xue, 2019. "Features, Driving Forces and Transition of the Household Energy Consumption in China: A Review," Sustainability, MDPI, vol. 11(4), pages 1-20, February.
    5. Zhang, Rui & Wei, Taoyuan & Glomsrød, Solveig & Shi, Qinghua, 2014. "Bioenergy consumption in rural China: Evidence from a survey in three provinces," Energy Policy, Elsevier, vol. 75(C), pages 136-145.
    6. Li, Jia & Just, Richard E., 2018. "Modeling household energy consumption and adoption of energy efficient technology," Energy Economics, Elsevier, vol. 72(C), pages 404-415.
    7. Zhang, MunkhDalai A. & Borjigin, Elles & Zhang, Huiping, 2007. "Mongolian nomadic culture and ecological culture: On the ecological reconstruction in the agro-pastoral mosaic zone in Northern China," Ecological Economics, Elsevier, vol. 62(1), pages 19-26, April.
    8. Niu, Hewen & He, Yuanqing & Desideri, Umberto & Zhang, Peidong & Qin, Hongyi & Wang, Shijin, 2014. "Rural household energy consumption and its implications for eco-environments in NW China: A case study," Renewable Energy, Elsevier, vol. 65(C), pages 137-145.
    9. Henri C. Moll & Klaas Jan Noorman & Rixt Kok & Rebecka Engström & Harald Throne‐Holst & Charlotte Clark, 2005. "Pursuing More Sustainable Consumption by Analyzing Household Metabolism in European Countries and Cities," Journal of Industrial Ecology, Yale University, vol. 9(1‐2), pages 259-275, January.
    10. Giovanni Baiocchi & Jan Minx & Klaus Hubacek, 2010. "The Impact of Social Factors and Consumer Behavior on Carbon Dioxide Emissions in the United Kingdom," Journal of Industrial Ecology, Yale University, vol. 14(1), pages 50-72, January.
    11. Giannini Pereira, Marcio & Vasconcelos Freitas, Marcos Aurélio & da Silva, Neilton Fidelis, 2011. "The challenge of energy poverty: Brazilian case study," Energy Policy, Elsevier, vol. 39(1), pages 167-175, January.
    12. Du, Gang & Lin, Wei & Sun, Chuanwang & Zhang, Dingzhong, 2015. "Residential electricity consumption after the reform of tiered pricing for household electricity in China," Applied Energy, Elsevier, vol. 157(C), pages 276-283.
    13. Dianshu, Feng & Sovacool, Benjamin K. & Minh Vu, Khuong, 2010. "The barriers to energy efficiency in China: Assessing household electricity savings and consumer behavior in Liaoning Province," Energy Policy, Elsevier, vol. 38(2), pages 1202-1209, February.
    14. Ping, Xiaoge & Jiang, Zhigang & Li, Chunwang, 2011. "Status and future perspectives of energy consumption and its ecological impacts in the Qinghai-Tibet region," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 514-523, January.
    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. Lei, Mingyu & Cai, Wenjia & Liu, Wenling & Wang, Can, 2022. "The heterogeneity in energy consumption patterns and home appliance purchasing preferences across urban households in China," Energy, Elsevier, vol. 253(C).
    2. Jiang, Lu & Xue, Bing & Ma, Zhixiao & Yu, Lu & Huang, Beijia & Chen, Xingpeng, 2020. "A life-cycle based co-benefits analysis of biomass pellet production in China," Renewable Energy, Elsevier, vol. 154(C), pages 445-452.
    3. 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).
    4. Li, Xingguang, 2023. "Farmland rental market participation and residential energy consumption: Evidence from rural areas in China," Energy, Elsevier, vol. 268(C).
    5. Zhuang, Minghao & Lu, Xi & Peng, Wei & Wang, Yanfen & Wang, Jianxiao & Nielsen, Chris P. & McElroy, Michael B., 2021. "Opportunities for household energy on the Qinghai-Tibet Plateau in line with United Nations’ Sustainable Development Goals," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    6. 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).
    7. 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).
    8. Gui, Xuechen & Gou, Zhonghua, 2022. "Household energy technologies in New South Wales, Australia: Regional differences and renewables adoption rates," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
    9. Wang, Menghan & Liu, Zhong & Xu, Aiyan & Yang, Dan, 2022. "Fuel choice for rural Tibetan households: Impacts of access to credit," Energy Economics, Elsevier, vol. 115(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. Lu Jiang & Xingpeng Chen & Bing Xue, 2019. "Features, Driving Forces and Transition of the Household Energy Consumption in China: A Review," Sustainability, MDPI, vol. 11(4), pages 1-20, February.
    2. Shi, Xinjie, 2019. "Inequality of opportunity in energy consumption in China," Energy Policy, Elsevier, vol. 124(C), pages 371-382.
    3. Sun, Chuanwang & Ouyang, Xiaoling, 2016. "Price and expenditure elasticities of residential energy demand during urbanization: An empirical analysis based on the household-level survey data in China," Energy Policy, Elsevier, vol. 88(C), pages 56-63.
    4. 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).
    5. Khanna, Nina Zheng & Guo, Jin & Zheng, Xinye, 2016. "Effects of demand side management on Chinese household electricity consumption: Empirical findings from Chinese household survey," Energy Policy, Elsevier, vol. 95(C), pages 113-125.
    6. Teng, Meixuan & Burke, Paul J. & Liao, Hua, 2019. "The demand for coal among China's rural households: Estimates of price and income elasticities," Energy Economics, Elsevier, vol. 80(C), pages 928-936.
    7. Wang, Chengchao & Yang, Yusheng & Zhang, Yaoqi, 2012. "Rural household livelihood change, fuelwood substitution, and hilly ecosystem restoration: Evidence from China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 2475-2482.
    8. Guta, Dawit Diriba, 2014. "Effect of fuelwood scarcity and socio-economic factors on household bio-based energy use and energy substitution in rural Ethiopia," Energy Policy, Elsevier, vol. 75(C), pages 217-227.
    9. Xie, Lunyu & Yan, Haosheng & Zhang, Shuhan & Wei, Chu, 2020. "Does urbanization increase residential energy use? Evidence from the Chinese residential energy consumption survey 2012," China Economic Review, Elsevier, vol. 59(C).
    10. Yueyue Rong & Junsong Jia & Min Ju & Chundi Chen & Yangming Zhou & Yexi Zhong, 2021. "Multi-Perspective Analysis of Household Carbon Dioxide Emissions from Direct Energy Consumption by the Methods of Logarithmic Mean Divisia Index and σ Convergence in Central China," Sustainability, MDPI, vol. 13(16), pages 1-28, August.
    11. 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).
    12. Christophe Muller & Huijie Yan, 2018. "Household Fuel Use in Rural China," AMSE Working Papers 1808, Aix-Marseille School of Economics, France.
    13. Yabin Da & Bin Zeng & Jing-Li Fan & Jiawei Hu & Lanlan Li, 2023. "Heterogeneous responses to climate: evidence from residential electricity consumption," Climatic Change, Springer, vol. 176(8), pages 1-19, August.
    14. Muller, Christophe & Yan, Huijie, 2018. "Household fuel use in developing countries: Review of theory and evidence," Energy Economics, Elsevier, vol. 70(C), pages 429-439.
    15. 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.
    16. Jingwen Wu & Bingdong Hou & Ruoyu Ke & Yun-Fei Du & Ce Wang & Xiangzheng Li & Jiawei Cai & Tianqi Chen & Meixuan Teng & Jin Liu & Jin-Wei Wang & Hua Liao, 2018. "Residential fuel choice in the rural: A field research on two counties of North China," CEEP-BIT Working Papers 109, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    17. Sovacool, Benjamin K., 2011. "Conceptualizing urban household energy use: Climbing the "Energy Services Ladder"," Energy Policy, Elsevier, vol. 39(3), pages 1659-1668, March.
    18. Ali, Ghaffar & Yan, Ningyu & Hussain, Jafar & Xu, Lilai & Huang, Yunfeng & Xu, Su & Cui, Shenghui, 2019. "Quantitative assessment of energy conservation and renewable energy awareness among variant urban communities of Xiamen, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 230-238.
    19. Li, Jianglong & Chen, Chang & Liu, Hongxun, 2019. "Transition from non-commercial to commercial energy in rural China: Insights from the accessibility and affordability," Energy Policy, Elsevier, vol. 127(C), pages 392-403.
    20. Qu, Mei & Lin, Ying & Liu, Can & Yao, Shunbo & Cao, Yang, 2016. "Farmers׳ perceptions of developing forest based bioenergy in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 581-589.

    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:192:y:2020:i:c:s0360544219323448. 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.