IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v14y2024i6p795-d1399365.html
   My bibliography  Save this article

Does Addressing Rural Energy Poverty Contribute to Achieving Sustainable Agricultural Development?

Author

Listed:
  • Jingyi Wang

    (Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China
    These authors contributed equally to this work.)

  • Xiaolong Sun

    (Institute of Agricultural Economics and Development, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China
    These authors contributed equally to this work.)

  • Shuai Zhang

    (Division of Graduate Studies Administration, China Foreign Affairs University, Beijing 100091, China)

  • Xuebiao Zhang

    (Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China)

Abstract

Promoting sustainable agricultural development is pivotal to realizing sustainable development goals. This study initially constructs a comprehensive indicator to delineate the landscape of agricultural sustainable development (ASD) across China. While ASD in China demonstrates an upward trajectory, it remains relatively low and exhibits disparities across regions. Ensuring food security with minimal energy consumption in agriculture is particularly critical for China, and fostering access to affordable and clean energy services in rural areas is essential for expediting the transition to sustainable agriculture. This study investigates the impact of rural energy poverty (REP) on ASD across 30 Chinese provinces from 2000 to 2017, revealing that the eradication of REP yields tangible benefits for ASD. Furthermore, considering regional disparities, the elimination of REP significantly enhances ASD, particularly in non-major grain-producing areas compared to major grain-producing regions. These findings underscore the imperative of integrating efforts to alleviate energy poverty with initiatives aimed at advancing ASD. Such integration is indispensable for driving the overarching transition toward sustainable agriculture.

Suggested Citation

  • Jingyi Wang & Xiaolong Sun & Shuai Zhang & Xuebiao Zhang, 2024. "Does Addressing Rural Energy Poverty Contribute to Achieving Sustainable Agricultural Development?," Agriculture, MDPI, vol. 14(6), pages 1-19, May.
  • Handle: RePEc:gam:jagris:v:14:y:2024:i:6:p:795-:d:1399365
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/14/6/795/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2077-0472/14/6/795/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Li, Menghan & Zhang, Kaiyue & Alamri, Ahmad Mohammed & Ageli, Mohammed Moosa & Khan, Numan, 2023. "Resource curse hypothesis and sustainable development: Evaluating the role of renewable energy and R&D," Resources Policy, Elsevier, vol. 81(C).
    2. Nie, Peng & Li, Qiaoge & Sousa-Poza, Alfonso, 2021. "Energy poverty and subjective well-being in China: New evidence from the China Family Panel Studies," Energy Economics, Elsevier, vol. 103(C).
    3. Cheng, Zhiming & Tani, Massimiliano & Wang, Haining, 2021. "Energy poverty and entrepreneurship," Energy Economics, Elsevier, vol. 102(C).
    4. Deng, Haiyan & Jin, Yanhong & Pray, Carl & Hu, Ruifa & Xia, Enjun & Meng, Hong, 2021. "Impact of public research and development and extension on agricultural productivity in China from 1990 to 2013," China Economic Review, Elsevier, vol. 70(C).
    5. Li, Jinkai & Gao, Ming & Luo, Erga & Wang, Jingyi & Zhang, Xuebiao, 2023. "Does rural energy poverty alleviation really reduce agricultural carbon emissions? The case of China," Energy Economics, Elsevier, vol. 119(C).
    6. Shen, Zhiyang & Baležentis, Tomas & Chen, Xueli & Valdmanis, Vivian, 2018. "Green growth and structural change in Chinese agricultural sector during 1997–2014," China Economic Review, Elsevier, vol. 51(C), pages 83-96.
    7. Pesaran M.H. & Schuermann T. & Weiner S.M., 2004. "Modeling Regional Interdependencies Using a Global Error-Correcting Macroeconometric Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 129-162, April.
    8. Cai, Jinyang & Zheng, Huanyu & Vardanyan, Michael & Shen, Zhiyang, 2023. "Achieving carbon neutrality through green technological progress: evidence from China," Energy Policy, Elsevier, vol. 173(C).
    9. Hu, Yue & Liu, Chang & Peng, Jiangang, 2021. "Financial inclusion and agricultural total factor productivity growth in China," Economic Modelling, Elsevier, vol. 96(C), pages 68-82.
    10. Wang, Bo & Zhao, Jun & Dong, Kangyin & Jiang, Qingzhe, 2022. "High-quality energy development in China: Comprehensive assessment and its impact on CO2 emissions," Energy Economics, Elsevier, vol. 110(C).
    11. Chulin Pan & Yufeng Jiang & Mingliang Wang & Shuang Xu & Ming Xu & Yixin Dong, 2021. "How Can Agricultural Corporate Build Sustainable Competitive Advantage through Green Intellectual Capital? A New Environmental Management Approach to Green Agriculture," IJERPH, MDPI, vol. 18(15), pages 1-26, July.
    12. Dong, Kangyin & Dong, Xiucheng & Jiang, Qingzhe & Zhao, Jun, 2021. "Assessing energy resilience and its greenhouse effect: A global perspective," Energy Economics, Elsevier, vol. 104(C).
    13. Shi, Hongxu & Xu, Hao & Gao, Wei & Zhang, Jinhao & Chang, Ming, 2022. "The impact of energy poverty on agricultural productivity: The case of China," Energy Policy, Elsevier, vol. 167(C).
    14. Zhao, Jun & Jiang, Qingzhe & Dong, Xiucheng & Dong, Kangyin, 2021. "Assessing energy poverty and its effect on CO2 emissions: The case of China," Energy Economics, Elsevier, vol. 97(C).
    15. Lin, Boqiang & Wang, Yao, 2020. "Does energy poverty really exist in China? From the perspective of residential electricity consumption," Energy Policy, Elsevier, vol. 143(C).
    16. Pan He & Giovanni Baiocchi & Klaus Hubacek & Kuishuang Feng & Yang Yu, 2018. "The environmental impacts of rapidly changing diets and their nutritional quality in China," Nature Sustainability, Nature, vol. 1(3), pages 122-127, March.
    Full references (including those not matched with items on IDEAS)

    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. Li, Jinkai & Gao, Ming & Luo, Erga & Wang, Jingyi & Zhang, Xuebiao, 2023. "Does rural energy poverty alleviation really reduce agricultural carbon emissions? The case of China," Energy Economics, Elsevier, vol. 119(C).
    2. Shi, Hongxu & Xu, Hao & Gao, Wei & Zhang, Jinhao & Chang, Ming, 2022. "The impact of energy poverty on agricultural productivity: The case of China," Energy Policy, Elsevier, vol. 167(C).
    3. Liu, Zhong & Zhou, Zuanjiu & Liu, Chang, 2023. "Estimating the impact of rural centralized residence policy interventions on energy poverty in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 187(C).
    4. Fu Wang & Hong Geng & Donglan Zha & Chaoqun Zhang, 2023. "Multidimensional Energy Poverty in China: Measurement and Spatio-Temporal Disparities Characteristics," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 168(1), pages 45-78, August.
    5. Lan, Jing & Khan, Sufyan Ullah & Sadiq, Muhammad & Chien, Fengsheng & Baloch, Zulfiqar Ali, 2022. "Evaluating energy poverty and its effects using multi-dimensional based DEA-like mathematical composite indicator approach: Findings from Asia," Energy Policy, Elsevier, vol. 165(C).
    6. Jin, Shunlin & Ma, Teng & Tan, Xinyu, 2024. "Digital financial inclusion and household energy poverty: Evidence from China," Economic Analysis and Policy, Elsevier, vol. 83(C), pages 436-456.
    7. Junhong Qu & Xiaoli Hao, 2022. "Digital Economy, Financial Development, and Energy Poverty Based on Mediating Effects and a Spatial Autocorrelation Model," Sustainability, MDPI, vol. 14(15), pages 1-24, July.
    8. Cheng, Zhiming & Guo, Liwen & Smyth, Russell & Tani, Massimiliano, 2022. "Childhood adversity and energy poverty," Energy Economics, Elsevier, vol. 111(C).
    9. Wang, Xiong & Yang, Wanping & Ren, Xiaohang & Lu, Zudi, 2023. "Can financial inclusion affect energy poverty in China? Evidence from a spatial econometric analysis," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 255-269.
    10. Liu, Yang & Dong, Kangyin & Taghizadeh-Hesary, Farhad, 2023. "How does energy aid mitigate the recipient countries’ carbon emissions?," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 359-375.
    11. Gu, Jiafeng, 2023. "Energy poverty and government subsidies in China," Energy Policy, Elsevier, vol. 180(C).
    12. Feng, Yanchao & Yan, Tong & Zhang, Ci & Zhang, Zhenhua & Pan, Yuxi, 2025. "Assessing the internal nexus of energy transition at the global level: Insights from triple aspects of scale, structure, and efficiency," Energy, Elsevier, vol. 320(C).
    13. Liu, Yang & Dong, Kangyin & Jiang, Qingzhe, 2023. "Assessing energy vulnerability and its impact on carbon emissions: A global case," Energy Economics, Elsevier, vol. 119(C).
    14. Huang, Yatao & Jiao, Wenxian & Wang, Kang & Li, Erling & Yan, Yutong & Chen, Jingyang & Guo, Xuanxuan, 2022. "Examining the multidimensional energy poverty trap and its determinants: An empirical analysis at household and community levels in six provinces of China," Energy Policy, Elsevier, vol. 169(C).
    15. Shi, Xinjie & Cui, Liu & Huang, Zuhui & Zeng, Pei & Qiu, Tongwei & Fu, Linlin & Jiang, Qiang, 2023. "Impact of internal migration on household energy poverty: Empirical evidence from rural China," Applied Energy, Elsevier, vol. 350(C).
    16. Jun Zhang & Yuang He & Jing Zhang, 2022. "Energy Poverty and Depression in Rural China: Evidence from the Quantile Regression Approach," IJERPH, MDPI, vol. 19(2), pages 1-21, January.
    17. Shahzad, Umer & Gupta, Mansi & Sharma, Gagan Deep & Rao, Amar & Chopra, Ritika, 2022. "Resolving energy poverty for social change: Research directions and agenda," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    18. Qiu, Hua & Sha, Yezhou & Zhang, Yixing, 2024. "Energy affordability and subjective well-being in China: Causal inference, heterogeneity, and the mediating role of disaster risk," Energy Economics, Elsevier, vol. 129(C).
    19. Xuefeng Li & Han Yang & Jin Jia, 2022. "Impact of energy poverty on cognitive and mental health among middle-aged and older adults in China," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-13, December.
    20. Li, Xue & Smyth, Russell & Xin, Guangyi & Yao, Yao, 2023. "Warmer temperatures and energy poverty: Evidence from Chinese households," Energy Economics, Elsevier, vol. 120(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:gam:jagris:v:14:y:2024:i:6:p:795-:d:1399365. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.