Predictors of Households’ Adoption of Gas Cooking Stove in Some Rural Communities of Abia and Ebonyi States, Southeast Nigeria

Authors

  • Okechi Dominic Azuwike Department of Geography & Environmental Management, Imo State University image/svg+xml
  • Patricia Nnenna Duru Department of Geography & Environmental Management, Imo State University image/svg+xml
  • Adeline O Nkwam-Uwaoma Department of Mass Communication, Imo State University image/svg+xml
  • Chigh R Nguhemen Department of Geography & Environmental Management, Imo State University image/svg+xml
  • Emmanuel Eboh Department of Sociology, Imo State University image/svg+xml
  • Faisal C Emetumah Department of Geography & Environmental Management, Imo State University image/svg+xml https://orcid.org/0000-0001-9355-8844

DOI:

https://doi.org/10.21467/ajss.12.1.16-29

Abstract

This paper aims at the factors that predict household’s adoption of gas cooking stoves in selected rural communities of Southeast Nigeria. Leaning on theories of Knowledge gap, Groupthink, Technological determinism and Innovation Diffusion, it explores the theme of adoption as a selective process while interrogating the idea of an energy ladder. The paper probes the factors that accentuate poor energy choices in the face of availability of the better domestic energy source, gas. Based on data from 600 respondents, 300 from each of the southeastern Nigeria states of Abia and Ebonyi, an ordinal regression in the form of a Generalized Linear Model was used to predict the proportional odds of the dependent ordinal variables. Parameter estimates of the regression model predicting ordinal likelihood (odds) of using cooking gas indicate that none of the categories underage bracket were significant. The odds of households with male heads having very high usage of cooking gas stove were 1.563 (95% CI, .882 to 1.830) times more than that of households with female heads. The odds are against larger households; households with heads that are of lower education levels; households that regularly cook with fuelwood and those with lower income. The study recommends advocacy to bridge the knowledge gap and a subsidization regime that can overcome the income challenge.

Keywords:

Gas stoves, Adoption, Southeast Nigeria, Energy

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References

Akinbami, J. F. K., Ilori, M. O., Oyebisi, T. O., Akinwumi, I. O., & Adeoti, O. (2001). Biogas energy use in Nigeria: current status, future prospects and policy implications. Renewable and Sustainable Energy Reviews, 5(1), 97–112. https://doi.org/10.1016/S1364-0321(00)00005-8

Arowolo, A. O., Bolatito, S., De Muyinatu, I., Sanusi, M., Fadilat, A., Ayinde, O., Kehinde, D., & Sheleru, M. (2018). Households’ cooking energy preferences and determinants of transition to non-biomass fuels in rural Nigeria. Journal of Sustainable Development in Africa, 20(1), 127–145.

Ashagidigbi, W. M., Ishola, T. M., & Omotayo, A. O. (2022). Gender and occupation of household head as major determinants of malnutrition among children in Nigeria. Scientific African, 16, e01159. https://doi.org/10.1016/J.SCIAF.2022.E01159

Bilenkisi, F., Gungor, M. S., & Tapsin, G. (2015). The Impact of Household Heads’ Education Levels on the Poverty Risk: The Evidence from Turkey. Educational Sciences: Theory & Practice, 15(2), 337–348. https://doi.org/10.12738/ESTP.2015.2.2354

Blumer, H. (1969). Symbolic Interactionism: Perspective and Method. Prentice Hall.

Clark, S., Carter, E., Shan, M., Ni, K., Niu, H., Tseng, J. T. W., Pattanayak, S. K., Jeuland, M., Schauer, J. J., Ezzati, M., Wiedinmyer, C., Yang, X., & Baumgartner, J. (2017). Adoption and use of a semi-gasifier cooking and water heating stove and fuel intervention in the Tibetan Plateau, China. Environmental Research Letters, 12(7), 075004. https://doi.org/10.1088/1748-9326/AA751E

Danlami, A. H., Islam, R., & Applanaidu, S. D. (2015). An Analysis of the Determinants of Households’ Energy Choice: A Search for Conceptual Framework. International Journal of Energy Economics and Policy, 5(1), 197–205.

Donohue, G. A., Tichenor, P. J., & Olien, C. N. (1975). Mass Media and the Knowledge Gap. Communication Research, 2(1), 3–23. https://doi.org/10.1177/009365027500200101

Edomah, N. (2019). Governing sustainable industrial energy use: Energy transitions in Nigeria’s manufacturing sector. Journal of Cleaner Production, 210, 620–629. https://doi.org/10.1016/J.JCLEPRO.2018.11.052

Egunjobi, T. A. (2020). Determinants of Household Cooking Energy Choice in Oyo State, Nigeria. Journal of Economics and Policy Analysis, 5(2), 15–37.

Ezedike, C., Ohazurike, E., Emetumah, F. C., & Ajaegbu, O. O. (2020). Health-seeking behavior and waste management practices among women in major urban markets in Owerri, Nigeria. AIMS Public Health , 7(1), 169–187. https://doi.org/10.3934/PUBLICHEALTH.2020015

Gill-Wiehl, A., Ray, I., & Kammen, D. (2021). Is clean cooking affordable? A review. Renewable and Sustainable Energy Reviews, 151, 111537. https://doi.org/10.1016/J.RSER.2021.111537

Gyory, J. T., Cagan, J., & Kotovsky, K. (2018). Should Teams Collaborate During Conceptual Engineering Design? An Experimental Study. Proceedings of the ASME Design Engineering Technical Conference, 7. https://doi.org/10.1115/DETC2018-85602

Harrell Jr, F. E. (2015). Regression Modeling Strategies With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis. Springer Cham. https://doi.org/10.1007/978-3-319-19425-7

Household Structure, Living Standards Incomes and Savings. (n.d.). Retrieved April 12, 2023, from https://www.fao.org/3/ac685e/ac685e05.htm

Janis, I. L. (1972). Victims of Groupthink A psychological study of foreign-policy decisions and fiascoe. Houghton Milllin Company. https://archive.org/details/janis_groupthink

Jekayinfa, S. O., Orisaleye, J. I., & Pecenka, R. (2020). An Assessment of Potential Resources for Biomass Energy in Nigeria. Resources , 9(8), 92. https://doi.org/10.3390/RESOURCES9080092

Klu, D., Agordoh, P., Azagba, C., Acquah, E., Doegah, P., Ofosu, A., Ansah, E. K., & Gyapong, M. (2022). Determinants of communication on sexual issues between adolescents and their parents in the Adaklu district of the Volta region, Ghana: a multinomial logistic regression analysis. Reproductive Health, 19(1), 1–9. https://doi.org/10.1186/S12978-022-01402-0

Muszynska, J., & Wedrowska, E. (2021, May 31). Does Age Matter? The Effect Of The Age Of The Household Head On Household Income Inequality | International Business Information Management Association (IBIMA). 37th IBIMA Conference. https://ibima.org/accepted-paper/does-age-matter-the-effect-of-the-age-of-the-household-head-on-household-income-inequality/

Nigeria Multidimensional Poverty Index. (2022). National Bureau of Statistics. https://nigerianstat.gov.ng/elibrary/read/1241254

Okereke, C., Onyeneke, R. U., Ijeoma, S., Fadero, T., Ahanotu, K., & Anieze, E. E. (2022). Attitude, knowledge and perception of choice of cooking fuels: Evidence from two large communities in South-east Nigeria. Environmental Progress & Sustainable Energy, 42(1), e13983. https://doi.org/10.1002/EP.13983

Olujobi, O. J. (2020). The legal sustainability of energy substitution in Nigeria’s electric power sector: renewable energy as alternative. Protection and Control of Modern Power Systems, 5(1), 1–12. https://doi.org/10.1186/S41601-020-00179-3

Onyekuru, N. A., Ifejirika, C. A., Onuigbo, D. M., Mebo, R. A., & Eboh, E. C. (2020). Factors affecting households’ choice of cooking energy in Enugu State, Nigeria. Agro-Science, 19(4), 6–13. https://doi.org/10.4314/as.v19i4.2

Rogers, E. M. (1962). DIFFUSION OF INNOVATIONS Third Edition (3rd ed.). The Free Press.

Siyaya, M. C., Omotosho, A. O., Uleanya, C., & Gamede, B. T. (2022). Information Literacy and Metacognitive Abilities of Teachers: Case of a South African Rural School. International Journal of Education and Literacy Studies, 10(1), 173–178. https://doi.org/10.7575/AIAC.IJELS.V.10N.1P.173

Soltani, M., Rahmani, O., Ghasimi, D. S. M., Ghaderpour, Y., Pour, A. B., Misnan, S. H., & Ngah, I. (2020). Impact of household demographic characteristics on energy conservation and carbon dioxide emission: Case from Mahabad city, Iran. Energy, 194, 116916. https://doi.org/10.1016/J.ENERGY.2020.116916

Statistics Bureau of Japan. (2020). Income and Expenditure by Age Group of Household heads. https://www.stat.go.jp/english/data/sousetai/es20.html

Thompson, L. M., Hengstermann, M., Weinstein, J. R., & Diaz-Artiga, A. (2018). Adoption of Liquefied Petroleum Gas Stoves in Guatemala: A Mixed-Methods Study. EcoHealth, 15(4), 745–756. https://doi.org/10.1007/S10393-018-1368-8

UNDP. (2021). Human Development Index. Human Development Reports. https://hdr.undp.org/data-center/human-development-index#/indicies/HDI

Viswanath, K., & JR., J. R. F. (1996). The Knowledge Gap Hypothesis: Twenty-Five Years Later. Annals of the International Communication Association, 19(1), 187–228. https://doi.org/10.1080/23808985.1996.11678931

Wassie, Y. T., Rannestad, M. M., & Adaramola, M. S. (2021). Determinants of household energy choices in rural sub-Saharan Africa: An example from southern Ethiopia. Energy, 221, 119785. https://doi.org/10.1016/J.ENERGY.2021.119785

Williams, K. N., Kephart, J. L., Fandiño-Del-Rio, M., Condori, L., Koehler, K., Moulton, L. H., Checkley, W., & Harvey, S. A. (2020). Beyond cost: Exploring fuel choices and the socio-cultural dynamics of liquefied petroleum gas stove adoption in Peru. Energy Research & Social Science, 66, 101591. https://doi.org/10.1016/J.ERSS.2020.101591

World Health Organisation. (2006). Fuel for life Household Energy and Health. WHO Library Cataloguing-in-Publication Data. https://apps.who.int/iris/bitstream/handle/10665/43421/9241563168_eng.pdf

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Published

2023-05-17

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Section

Survey Article

How to Cite

Azuwike, O. D., Duru, P. N., Nkwam-Uwaoma, A. O., Nguhemen, C. R., Eboh, E., & Emetumah, F. C. (2023). Predictors of Households’ Adoption of Gas Cooking Stove in Some Rural Communities of Abia and Ebonyi States, Southeast Nigeria. Advanced Journal of Social Science, 12(1), 16–29. https://doi.org/10.21467/ajss.12.1.16-29

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