IDEAS home Printed from https://ideas.repec.org/a/ags/ajaees/357755.html

Analysis of Green and Non-green Energy Poverty among Rural and Urban Households in Oyo State, Nigeria

Author

Listed:
  • Ajetunmobi, O. A.
  • Oladeebo, J. O.

Abstract

In rural and urban areas of Nigeria where alternative fuels were available, shift away from domestic wood fuel use were not taking place on a very large scale. The urban dwellers that normally use kerosene and gas were now systematically shifting to using charcoals. If energy situation should continue this way, economic growth and human development will be hampered in Oyo State. This study therefore, analysed the green and non-green energy poverty among rural and urban households in Oyo State of Nigeria. Multistage random sampling technique was used to select samples of two hundred and forty (240) respondents with the aid of structured questionnaire. The result showed that the mean age of all the respondents was 49.3 years while 66% of them were women. The average household size was 5 and 39% of the respondents attended tertiary institutions. Their primary occupation was farming (57%). The major energy sources available to the respondents were kerosene and charcoal (54%). The energy expenditure approach result showed that, 55% of the rural respondents were energy non-poor, 58% of the respondents in the urban areas were energy poor. The relative measure of energy poverty result revealed that 70.8% of all the respondents were energy poor. The logistic regression results showed that household size (p≤0.01), education (p≤0.01), expenditure on food (p≤0.01) were variables which positively determined energy poverty of the rural households; age (p≤0.01), household size (p≤0.01), education (p≤0.01) and expenditure on food (p≤0.01) were positive significant variables which determined energy poverty of the urban households and household size (p≤0.01), expenditure on food (p≤0.01) were positive significant variables that determined energy poverty of the pooled data. In conclusion, there should be an awareness, affordable prices of various energy types, advancement in technology, maintenance practices and revitalization of energy projects in the study area.

Suggested Citation

  • Ajetunmobi, O. A. & Oladeebo, J. O., 2020. "Analysis of Green and Non-green Energy Poverty among Rural and Urban Households in Oyo State, Nigeria," Asian Journal of Agricultural Extension, Economics & Sociology, Asian Journal of Agricultural Extension, Economics & Sociology, vol. 38(1).
    • Handle: RePEc:ags:ajaees:357755
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/357755/files/Ajetunmobi3812020AJAEES54550.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Krey, Volker & O'Neill, Brian C. & van Ruijven, Bas & Chaturvedi, Vaibhav & Daioglou, Vassilis & Eom, Jiyong & Jiang, Leiwen & Nagai, Yu & Pachauri, Shonali & Ren, Xiaolin, 2012. "Urban and rural energy use and carbon dioxide emissions in Asia," Energy Economics, Elsevier, vol. 34(S3), pages 272-283.
    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. Dong, Kangyin & Zhao, Congyu & Nepal, Rabindra & Zander, Kerstin K., 2025. "Are natural disasters stumbling blocks to carbon inequality mitigation? A global perspective," Ecological Economics, Elsevier, vol. 227(C).
    2. Balsalobre-Lorente, Daniel & Driha, Oana M. & Sinha, Avik, 2020. "The dynamic effects of globalization process in analysing N-shaped tourism led growth hypothesis," MPRA Paper 100078, University Library of Munich, Germany.
    3. Eom, Jiyong & Clarke, Leon & Kim, Son H. & Kyle, Page & Patel, Pralit, 2012. "China's building energy demand: Long-term implications from a detailed assessment," Energy, Elsevier, vol. 46(1), pages 405-419.
    4. Ma, Chenshuo & Zhang, Yifei & Ma, Keni & Li, Chanyun, 2023. "Study on the relationship between service scale and investment cost of energy service stations," Energy, Elsevier, vol. 269(C).
    5. O'Neill, Brian C. & Ren, Xiaolin & Jiang, Leiwen & Dalton, Michael, 2012. "The effect of urbanization on energy use in India and China in the iPETS model," Energy Economics, Elsevier, vol. 34(S3), pages 339-345.
    6. Li, J.S. & Chen, G.Q., 2013. "Energy and greenhouse gas emissions review for Macao," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 23-32.
    7. Clarke, Leon & Eom, Jiyong & Marten, Elke Hodson & Horowitz, Russell & Kyle, Page & Link, Robert & Mignone, Bryan K. & Mundra, Anupriya & Zhou, Yuyu, 2018. "Effects of long-term climate change on global building energy expenditures," Energy Economics, Elsevier, vol. 72(C), pages 667-677.
    8. Mingyue Wang & Yu Liu & Yawen Liu & Shunxiang Yang & Lingyu Yang, 2018. "Assessing Multiple Pathways for Achieving China’s National Emissions Reduction Target," Sustainability, MDPI, vol. 10(7), pages 1-16, June.
    9. Sarah Harper, 2013. "Population–Environment Interactions: European Migration, Population Composition and Climate Change," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 55(4), pages 525-541, August.
    10. Yu, Sha & Eom, Jiyong & Evans, Meredydd & Clarke, Leon, 2014. "A long-term, integrated impact assessment of alternative building energy code scenarios in China," Energy Policy, Elsevier, vol. 67(C), pages 626-639.
    11. Chen, Guangwu & Zhu, Yuhan & Wiedmann, Thomas & Yao, Lina & Xu, Lixiao & Wang, Yafei, 2019. "Urban-rural disparities of household energy requirements and influence factors in China: Classification tree models," Applied Energy, Elsevier, vol. 250(C), pages 1321-1335.
    12. Miomir Jovanović & Ljiljana Kašćelan & Aleksandra Despotović & Vladimir Kašćelan, 2015. "The Impact of Agro-Economic Factors on GHG Emissions: Evidence from European Developing and Advanced Economies," Sustainability, MDPI, vol. 7(12), pages 1-21, December.
    13. Wang, Rendong & Li, Lei & Wang, Chengjun, 2025. "The heterogeneous impact of rural residents' income growth on consumption carbon emissions: Based on the QUAIDS and EASI models," Economic Analysis and Policy, Elsevier, vol. 86(C), pages 245-257.
    14. Ottmar Edenhofer & Susanne Kadner & Christoph von Stechow & Gregor Schwerhoff & Gunnar Luderer, 2014. "Linking climate change mitigation research to sustainable development," Chapters, in: Giles Atkinson & Simon Dietz & Eric Neumayer & Matthew Agarwala (ed.), Handbook of Sustainable Development, chapter 30, pages 476-499, Edward Elgar Publishing.
    15. Ahmad, Sohail & Puppim de Oliveira, Jose A., 2016. "Determinants of urban mobility in India: Lessons for promoting sustainable and inclusive urban transportation in developing countries," Transport Policy, Elsevier, vol. 50(C), pages 106-114.
    16. Edward Mateosian, 2023. "An empirical analysis of the economic impact of air pollution," EERI Research Paper Series EERI RP 2023/03, Economics and Econometrics Research Institute (EERI), Brussels.
    17. van Ruijven, Bas J. & O’Neill, Brian C. & Chateau, Jean, 2015. "Methods for including income distribution in global CGE models for long-term climate change research," Energy Economics, Elsevier, vol. 51(C), pages 530-543.
    18. Rui Xing & Tatsuya Hanaoka & Yuko Kanamori & Hancheng Dai & Toshihiko Masui, 2015. "Energy Service Demand Projections and CO 2 Reduction Potentials in Rural Households in 31 Chinese Provinces," Sustainability, MDPI, vol. 7(12), pages 1-14, November.
    19. Ran Zhang & Guoquan Kong & Huaping Sun, 2023. "Can New-Type Urbanization Promote Enterprise Green Technology Innovation?—A Study Based on Difference-in-Differences Model," Sustainability, MDPI, vol. 15(7), pages 1-20, April.
    20. Vo, Long Hai & Le, Thai-Ha, 2021. "Eatery, energy, environment and economic system, 1970–2017: Understanding volatility spillover patterns in a global sample," Energy Economics, Elsevier, vol. 100(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:ags:ajaees:357755. 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: AgEcon Search (email available below). General contact details of provider: https://journalajaees.com/index.php/AJAEES/index .

    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.