IDEAS home Printed from https://ideas.repec.org/a/eee/ecolec/v197y2022ics0921800922001185.html
   My bibliography  Save this article

Using energy vulnerability to measure distributive injustice in rural heating energy reform: A case study of natural gas replacing bulk coal for heating in Gaocheng District, Hebei Province, China

Author

Listed:
  • Fan, Shengyue
  • Zha, Shuai
  • Zhao, Chenxi
  • Sizheng, Fangyuan
  • Li, Meihui

Abstract

Proponents of distributive justice with regard to energy hold that every household has the right to affordable access to energy. However, when passively participating in clean energy reform policies, households, and especially low-income households, are often forced to use energy beyond the scope of affordability, resulting in distributive injustice. However, research on the quantitative estimation of injustice in energy distribution is still rare. In this paper, an evaluation model of energy vulnerability and distributive justice is established through the “reverse deduction method,” and the change value of energy vulnerability before and after energy reform is used to calculate the loss value of distributive justice, which is used as the basis for energy policy evaluation. Taking the policy of replacing coal with natural gas for rural heating in Gaocheng District, Hebei Province, China as a case study, the value of lost distributive justice is calculated. The results show that 34.51% of households experienced distributive injustice after the energy reform, while 19.34% of households improved their energy vulnerability and achieved energy justice through energy subsidy policies. However, 46.15% of households were able to adapt to the energy reform independently without subsidies, which indicates a waste of resources in the energy subsidy policy. The policy implication of these results is that differentiated energy subsidy policies should be implemented according to household energy vulnerability, so as to maximize the policy benefits on the premise of ensuring justice in household energy distribution and minimizing injustice. The empirical study proves that the method of assessing injustice in energy distribution based on the “reverse deduction method” of energy vulnerability is feasible and a new attempt.

Suggested Citation

  • Fan, Shengyue & Zha, Shuai & Zhao, Chenxi & Sizheng, Fangyuan & Li, Meihui, 2022. "Using energy vulnerability to measure distributive injustice in rural heating energy reform: A case study of natural gas replacing bulk coal for heating in Gaocheng District, Hebei Province, China," Ecological Economics, Elsevier, vol. 197(C).
  • Handle: RePEc:eee:ecolec:v:197:y:2022:i:c:s0921800922001185
    DOI: 10.1016/j.ecolecon.2022.107456
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0921800922001185
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolecon.2022.107456?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. Waddams Price, Catherine & Brazier, Karl & Wang, Wenjia, 2012. "Objective and subjective measures of fuel poverty," Energy Policy, Elsevier, vol. 49(C), pages 33-39.
    2. Chen, Han & Chen, Wenying, 2019. "Potential impacts of coal substitution policy on regional air pollutants and carbon emission reductions for China's building sector during the 13th Five-Year Plan period," Energy Policy, Elsevier, vol. 131(C), pages 281-294.
    3. Keady, Walter & Panikkar, Bindu & Nelson, Ingrid L. & Zia, Asim, 2021. "Energy justice gaps in renewable energy transition policy initiatives in Vermont," Energy Policy, Elsevier, vol. 159(C).
    4. Yan, Yutong & Jiao, Wenxian & Wang, Kang & Huang, Yatao & Chen, Jingyang & Han, Qingfeng, 2020. "Coal-to-gas heating compensation standard and willingness to make clean energy choices in typical rural areas of northern China," Energy Policy, Elsevier, vol. 145(C).
    5. Sovacool, Benjamin K., 2011. "Conceptualizing urban household energy use: Climbing the "Energy Services Ladder"," Energy Policy, Elsevier, vol. 39(3), pages 1659-1668, March.
    6. Alberini, Anna & Gans, Will & Velez-Lopez, Daniel, 2011. "Residential consumption of gas and electricity in the U.S.: The role of prices and income," Energy Economics, Elsevier, vol. 33(5), pages 870-881, September.
    7. Chevallier, Julien & Khuong Nguyen, Duc & Carlos Reboredo, Juan, 2019. "A conditional dependence approach to CO2-energy price relationships," Energy Economics, Elsevier, vol. 81(C), pages 812-821.
    8. Niu, Shuwen & Zhang, Xin & Zhao, Chunsheng & Niu, Yunzhu, 2012. "Variations in energy consumption and survival status between rural and urban households: A case study of the Western Loess Plateau, China," Energy Policy, Elsevier, vol. 49(C), pages 515-527.
    9. Lutz Kilian, 2008. "The Economic Effects of Energy Price Shocks," Journal of Economic Literature, American Economic Association, vol. 46(4), pages 871-909, December.
    10. Poyer, David A. & Henderson, Lenneal & Teotia, Arvind P. S., 1997. "Residential energy consumption across different population groups: comparative analysis for Latino and non-Latino households in USA," Energy Economics, Elsevier, vol. 19(4), pages 445-463, October.
    11. Sanya Carley & Tom P. Evans & Michelle Graff & David M. Konisky, 2018. "A framework for evaluating geographic disparities in energy transition vulnerability," Nature Energy, Nature, vol. 3(8), pages 621-627, August.
    12. I. A. Grant Wilson & Iain Staffell, 2018. "Rapid fuel switching from coal to natural gas through effective carbon pricing," Nature Energy, Nature, vol. 3(5), pages 365-372, May.
    13. Acharya, Rajesh H. & Sadath, Anver C., 2017. "Implications of energy subsidy reform in India," Energy Policy, Elsevier, vol. 102(C), pages 453-462.
    14. Hosier, R. H. & Kipondya, W., 1993. "Urban household energy use in Tanzania : Prices, substitutes and poverty," Energy Policy, Elsevier, vol. 21(5), pages 454-473, May.
    15. Khandker, Shahidur R. & Barnes, Douglas F. & Samad, Hussain A., 2012. "Are the energy poor also income poor? Evidence from India," Energy Policy, Elsevier, vol. 47(C), pages 1-12.
    16. Michelsen, Carl Christian & Madlener, Reinhard, 2016. "Switching from fossil fuel to renewables in residential heating systems: An empirical study of homeowners' decisions in Germany," Energy Policy, Elsevier, vol. 89(C), pages 95-105.
    17. Broadstock, David C. & Li, Jiajia & Zhang, Dayong, 2016. "Efficiency snakes and energy ladders: A (meta-)frontier demand analysis of electricity consumption efficiency in Chinese households," Energy Policy, Elsevier, vol. 91(C), pages 383-396.
    18. Mundaca, Luis & Busch, Henner & Schwer, Sophie, 2018. "‘Successful’ low-carbon energy transitions at the community level? An energy justice perspective," Applied Energy, Elsevier, vol. 218(C), pages 292-303.
    19. Alberini, Anna & Gans, Will & Velez-Lopez, Daniel, 2011. "Residential Consumption of Gas and Electricity in the U.S.: The Role of Prices and Income," Sustainable Development Papers 99637, Fondazione Eni Enrico Mattei (FEEM).
    20. Poyer, David A. & Williams, Martin, 1993. "Residential energy demand: additional empirical evidence by minority household type," Energy Economics, Elsevier, vol. 15(2), pages 93-100, April.
    21. Willand, Nicola & Horne, Ralph, 2018. "“They are grinding us into the ground” – The lived experience of (in)energy justice amongst low-income older households," Applied Energy, Elsevier, vol. 226(C), pages 61-70.
    22. Masera, Omar R. & Saatkamp, Barbara D. & Kammen, Daniel M., 2000. "From Linear Fuel Switching to Multiple Cooking Strategies: A Critique and Alternative to the Energy Ladder Model," World Development, Elsevier, vol. 28(12), pages 2083-2103, December.
    23. Papada, Lefkothea & Kaliampakos, Dimitris, 2016. "Measuring energy poverty in Greece," Energy Policy, Elsevier, vol. 94(C), pages 157-165.
    24. Christopher Barrington-Leigh & Jill Baumgartner & Ellison Carter & Brian E. Robinson & Shu Tao & Yuanxun Zhang, 2019. "An evaluation of air quality, home heating and well-being under Beijing’s programme to eliminate household coal use," Nature Energy, Nature, vol. 4(5), pages 416-423, May.
    25. García, Jorge H. & Cherry, Todd L. & Kallbekken, Steffen & Torvanger, Asbjørn, 2016. "Willingness to accept local wind energy development: Does the compensation mechanism matter?," Energy Policy, Elsevier, vol. 99(C), pages 165-173.
    26. Langer, Katharina & Decker, Thomas & Menrad, Klaus, 2017. "Public participation in wind energy projects located in Germany: Which form of participation is the key to acceptance?," Renewable Energy, Elsevier, vol. 112(C), pages 63-73.
    27. Xu, Shuo & Ge, Jianping, 2020. "Sustainable shifting from coal to gas in North China: An analysis of resident satisfaction," Energy Policy, Elsevier, vol. 138(C).
    28. Leach, Gerald, 1992. "The energy transition," Energy Policy, Elsevier, vol. 20(2), pages 116-123, February.
    29. Heffron, Raphael J. & McCauley, Darren, 2014. "Achieving sustainable supply chains through energy justice," Applied Energy, Elsevier, vol. 123(C), pages 435-437.
    30. Pachauri, S. & Mueller, A. & Kemmler, A. & Spreng, D., 2004. "On Measuring Energy Poverty in Indian Households," World Development, Elsevier, vol. 32(12), pages 2083-2104, December.
    31. Reames, Tony Gerard, 2016. "Targeting energy justice: Exploring spatial, racial/ethnic and socioeconomic disparities in urban residential heating energy efficiency," Energy Policy, Elsevier, vol. 97(C), pages 549-558.
    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. Dong, Kangyin & Jiang, Qingzhe & Liu, Yang & Shen, Zhiyang & Vardanyan, Michael, 2024. "Is energy aid allocated fairly? A global energy vulnerability perspective," World Development, Elsevier, vol. 173(C).
    2. Liu, Li & Sheng, Jichuan, 2024. "Energy quota trading and energy vulnerability: China's energy quota trading pilot," Energy Policy, Elsevier, vol. 184(C).
    3. Shengyue Fan & Shuai Zha & Chenxi Zhao, 2022. "Study on Strategic Interaction between Government and Farmers in Rural Passive Energy Transformation," IJERPH, MDPI, vol. 19(22), pages 1-16, November.
    4. Chunhong Liu & Shisong Jiang & Hanfei Zhang & Ziyi Lu & Umberto Desideri, 2024. "China and Italy’s Energy Development Trajectories: Current Landscapes and Future Cooperation Potential," Energies, MDPI, vol. 17(4), pages 1-18, February.
    5. Yuan, Meng & Vad Mathiesen, Brian & Schneider, Noémi & Xia, Jianjun & Zheng, Wen & Sorknæs, Peter & Lund, Henrik & Zhang, Lipeng, 2024. "Renewable energy and waste heat recovery in district heating systems in China: A systematic review," Energy, Elsevier, vol. 294(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. Graff, Michelle & Pirog, Maureen, 2019. "Red tape is not so hot: Asset tests impact participation in the Low-Income Home Energy Assistance Program," Energy Policy, Elsevier, vol. 129(C), pages 749-764.
    2. Rahut, Dil Bahadur & Das, Sukanya & De Groote, Hugo & Behera, Bhagirath, 2014. "Determinants of household energy use in Bhutan," Energy, Elsevier, vol. 69(C), pages 661-672.
    3. Omar, Md Abdullah & Hasanujzaman, Muhammad, 2021. "Multidimensional energy poverty in Bangladesh and its effect on health and education: A multilevel analysis based on household survey data," Energy Policy, Elsevier, vol. 158(C).
    4. van der Kroon, Bianca & Brouwer, Roy & van Beukering, Pieter J.H., 2013. "The energy ladder: Theoretical myth or empirical truth? Results from a meta-analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 504-513.
    5. Rahut, Dil Bahadur & Behera, Bhagirath & Ali, Akhter, 2016. "Patterns and determinants of household use of fuels for cooking: Empirical evidence from sub-Saharan Africa," Energy, Elsevier, vol. 117(P1), pages 93-104.
    6. 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.
    7. Rahut, Dil Bahadur & Behera, Bhagirath & Ali, Akhter & Marenya, Paswel, 2017. "A ladder within a ladder: Understanding the factors influencing a household's domestic use of electricity in four African countries," Energy Economics, Elsevier, vol. 66(C), pages 167-181.
    8. Sehjpal, Ritika & Ramji, Aditya & Soni, Anmol & Kumar, Atul, 2014. "Going beyond incomes: Dimensions of cooking energy transitions in rural India," Energy, Elsevier, vol. 68(C), pages 470-477.
    9. Han, Hongyun & Wu, Shu, 2018. "Rural residential energy transition and energy consumption intensity in China," Energy Economics, Elsevier, vol. 74(C), pages 523-534.
    10. Recep Ulucak & Ramazan Sari & Seyfettin Erdogan & Rui Alexandre Castanho, 2021. "Bibliometric Literature Analysis of a Multi-Dimensional Sustainable Development Issue: Energy Poverty," Sustainability, MDPI, vol. 13(17), pages 1-21, August.
    11. Burke, Paul J. & Dundas, Guy, 2015. "Female Labor Force Participation and Household Dependence on Biomass Energy: Evidence from National Longitudinal Data," World Development, Elsevier, vol. 67(C), pages 424-437.
    12. Li, Meng & Jin, Tianyu & Liu, Shenglong & Zhou, Shaojie, 2021. "The cost of clean energy transition in rural China: Evidence based on marginal treatment effects," Energy Economics, Elsevier, vol. 97(C).
    13. Andadari, Roos Kities & Mulder, Peter & Rietveld, Piet, 2014. "Energy poverty reduction by fuel switching. Impact evaluation of the LPG conversion program in Indonesia," Energy Policy, Elsevier, vol. 66(C), pages 436-449.
    14. Uche M. Ozughalu & Fidelis O. Ogwumike, 2019. "Extreme Energy Poverty Incidence and Determinants in Nigeria: A Multidimensional Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 142(3), pages 997-1014, April.
    15. Helen Hoka Osiolo & Peter Kimuyu, 2017. "Demand for Indoor Air Pollution Abatement Interventions," Biophysical Economics and Resource Quality, Springer, vol. 2(3), pages 1-19, September.
    16. Jing Li & Lingling Song & Yanchun Zhu, 2020. "Subsidies, Clean Heating Choices, and Policy Costs: Evidence from Rural Households in Northern China," Sustainability, MDPI, vol. 13(1), pages 1-18, December.
    17. Pachauri, Shonali & Jiang, Leiwen, 2008. "The household energy transition in India and China," Energy Policy, Elsevier, vol. 36(11), pages 4022-4035, November.
    18. Chen, Feifei & Qiu, Huanguang & Zhang, Jun, 2022. "Energy consumption and income of the poor in rural China: Inference for poverty measures," Energy Policy, Elsevier, vol. 163(C).
    19. Rahut, Dil Bahadur & Behera, Bhagirath & Ali, Akhter, 2016. "Household energy choice and consumption intensity: Empirical evidence from Bhutan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 993-1009.
    20. Bezerra, Paula & Cruz, Talita & Mazzone, Antonella & Lucena, André F.P. & De Cian, Enrica & Schaeffer, Roberto, 2022. "The multidimensionality of energy poverty in Brazil: A historical analysis," Energy Policy, Elsevier, vol. 171(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:ecolec:v:197:y:2022:i:c:s0921800922001185. 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.elsevier.com/locate/ecolecon .

    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.