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Tenancy and energy choice for lighting and cooking: Evidence from Ghana

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  • Martey, Edward

Abstract

This study uses a national household living standard survey and bivariate probit to assess how variations in tenure mode influence the choice of energy sources for lighting and cooking. Results indicate that tenure mode has heterogeneous effect on the lighting and cooking energy choice. Relative to owner-occupied unit, renters use other fuel (firewood, candle, and crop residue) for lighting and use modern (LPG), transition (charcoal), and other fuel (electricity, crop residue, kerosene, sawdust, and, animal waste) for cooking. By dividing the sample into income quartiles, the results showed that renters in the fourth quartiles use electricity and LPG (modern fuel) but less likely to use dirty fuel (fuelwood) for cooking. Tenancy agreement, ownership right and preferences, and the structure of a building are the plausible mechanism that may be accounting for the heterogeneity in the adoption of lighting and cooking energy sources. The empirical implications of the results are discussed.

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  • Martey, Edward, 2019. "Tenancy and energy choice for lighting and cooking: Evidence from Ghana," Energy Economics, Elsevier, vol. 80(C), pages 570-581.
    • Handle: RePEc:eee:eneeco:v:80:y:2019:i:c:p:570-581
    DOI: 10.1016/j.eneco.2019.02.008
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    1. Karimu, Amin & Mensah, Justice Tei & Adu, George, 2016. "Who Adopts LPG as the Main Cooking Fuel and Why? Empirical Evidence on Ghana Based on National Survey," World Development, Elsevier, vol. 85(C), pages 43-57.
    2. Ouedraogo, Boukary, 2006. "Household energy preferences for cooking in urban Ouagadougou, Burkina Faso," Energy Policy, Elsevier, vol. 34(18), pages 3787-3795, December.
    3. Kholodilin, Konstantin A & Mense, Andreas & Michelsen, Claus, 2017. "The market value of energy efficiency in buildings and the mode of tenure," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 54(14), pages 3218-3238.
    4. Alem, Yonas & Beyene, Abebe D. & Köhlin, Gunnar & Mekonnen, Alemu, 2016. "Modeling household cooking fuel choice: A panel multinomial logit approach," Energy Economics, Elsevier, vol. 59(C), pages 129-137.
    5. Pablo Acosta, 2011. "School Attendance, Child Labour, and Remittances from International Migration in El Salvador," Journal of Development Studies, Taylor & Francis Journals, vol. 47(6), pages 913-936.
    6. Lay, Jann & Ondraczek, Janosch & Stoever, Jana, 2013. "Renewables in the energy transition: Evidence on solar home systems and lighting fuel choice in Kenya," Energy Economics, Elsevier, vol. 40(C), pages 350-359.
    7. William N. Evans & Robert M. Schwab, 1995. "Finishing High School and Starting College: Do Catholic Schools Make a Difference?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(4), pages 941-974.
    8. Reddy, Amulya K.N. & Reddy, B.Sudhakara, 1994. "Substitution of energy carriers for cooking in Bangalore," Energy, Elsevier, vol. 19(5), pages 561-571.
    9. 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.
    10. Souza, M.N.M., 2018. "Why are rented dwellings less energy-efficient? Evidence from a representative sample of the U.S. housing stock," Energy Policy, Elsevier, vol. 118(C), pages 149-159.
    11. Heltberg, Rasmus, 2004. "Fuel switching: evidence from eight developing countries," Energy Economics, Elsevier, vol. 26(5), pages 869-887, September.
    12. Heckman, James J, 1978. "Dummy Endogenous Variables in a Simultaneous Equation System," Econometrica, Econometric Society, vol. 46(4), pages 931-959, July.
    13. Rahut, Dil Bahadur & Behera, Bhagirath & Ali, Akhter, 2017. "Factors determining household use of clean and renewable energy sources for lighting in Sub-Saharan Africa," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 661-672.
    14. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
    15. Smith, Kirk R. & Apte, Michael G. & Yuqing, Ma & Wongsekiarttirat, Wathana & Kulkarni, Ashwini, 1994. "Air pollution and the energy ladder in asian cities," Energy, Elsevier, vol. 19(5), pages 587-600.
    16. Sakah, Marriette & Diawuo, Felix Amankwah & Katzenbach, Rolf & Gyamfi, Samuel, 2017. "Towards a sustainable electrification in Ghana: A review of renewable energy deployment policies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 544-557.
    17. Maruejols, Lucie & Young, Denise, 2011. "Split incentives and energy efficiency in Canadian multi-family dwellings," Energy Policy, Elsevier, vol. 39(6), pages 3655-3668, June.
    18. Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2005. "An Evaluation of Instrumental Variable Strategies for Estimating the Effects of Catholic Schooling," Journal of Human Resources, University of Wisconsin Press, vol. 40(4), pages 791-821.
    19. Kenneth Gillingham, Matthew Harding, and David Rapson, 2012. "Split Incentives in Residential Energy Consumption," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    20. Han, Sukjin & Vytlacil, Edward J., 2017. "Identification in a generalization of bivariate probit models with dummy endogenous regressors," Journal of Econometrics, Elsevier, vol. 199(1), pages 63-73.
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    Cited by:

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    3. Martey, Edward, 2022. "Empirical analysis of crop diversification and energy poverty in Ghana," Energy Policy, Elsevier, vol. 165(C).
    4. Martey, Edward & Etwire, Prince Maxwell & Adusah-Poku, Frank & Akoto, Isaac, 2022. "Off-farm work, cooking energy choice and time poverty in Ghana: An empirical analysis," Energy Policy, Elsevier, vol. 163(C).
    5. 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).
    6. Kapsalyamova, Zhanna & Mishra, Ranjeeta & Kerimray, Aiymgul & Karymshakov, Kamalbek & Azhgaliyeva, Dina, 2021. "Why Is Energy Access Not Enough for Choosing Clean Cooking Fuels? Sustainable Development Goals and Beyond," ADBI Working Papers 1234, Asian Development Bank Institute.
    7. Pérez Gelves, Jhon Jairo & Østergaard, Poul Alberg & Díaz Flórez, Guillermo Andrés, 2023. "Energy poverty assessment and the impact of Covid-19: An empirical analysis of Colombia," Energy Policy, Elsevier, vol. 181(C).
    8. Liu, Zhong & Wang, Menghan & Xiong, Qinqin & Liu, Chang, 2020. "Does centralized residence promote the use of cleaner cooking fuels? Evidence from rural China," Energy Economics, Elsevier, vol. 91(C).
    9. Martey, Edward & Etwire, Prince M. & Atinga, David & Yevu, Mawuli, 2021. "Household energy choice for cooking among the time and consumption poor in Ghana," Energy, Elsevier, vol. 226(C).
    10. Anil Shrestha & Makoto Kakinaka, 2022. "Remittance Inflows and Energy Transition of the Residential Sector in Developing Countries," Sustainability, MDPI, vol. 14(17), pages 1-19, August.
    11. Liu, Pihui & Han, Chuanfeng & Teng, Minmin, 2022. "Does clean cooking energy improve mental health? Evidence from China," Energy Policy, Elsevier, vol. 166(C).
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    More about this item

    Keywords

    Lighting fuel; Cooking fuel; Rental mode; Dwelling status; Bivariate probit model;
    All these keywords.

    JEL classification:

    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products

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