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Determinants for adoption decision of small scale biogas technology by rural households in Tigray, Ethiopia

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  • Kelebe, Haftu Etsay
  • Ayimut, Kiros Meles
  • Berhe, Gebresilasse Hailu
  • Hintsa, Kidane

Abstract

The deployment of biogas energy as alternative energy source can have the potential to fill the gap in the energy needs of the rural community if it is effectively managed and appropriately utilized. Using a logistic regression analysis of cross sectional data, the driving forces for adoption decision of biogas technology by rural households in the Tigray region, Ethiopia, were examined. The study found that the factors that significantly affect biogas adoption decision of rural households were for the most part socio-demographic factors and access to basic infrastructures. Besides, some environmental, institutional and economic attributes were significantly associated with diffusion of biogas technology. From among the variables included in the model, age of household head, family size, level of education, cattle size owned, distance to firewood collection site, access to electricity, access to credit and access to all weather roads were found to positively affect biogas adoption decision of households. On the other hand, distance to the nearest market negatively affected the adoption decision of the households. Female headed households tend more to adopt the biogas technology as compared to their male counterparts. As socio-economic attributes of households and environmental factors are mostly varied contextually and spatially, the policy of biogas technology promotion should be tailored based on the principle of fit for the purpose instead of the existing unimodal approach for all settings.

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  • Kelebe, Haftu Etsay & Ayimut, Kiros Meles & Berhe, Gebresilasse Hailu & Hintsa, Kidane, 2017. "Determinants for adoption decision of small scale biogas technology by rural households in Tigray, Ethiopia," Energy Economics, Elsevier, vol. 66(C), pages 272-278.
    • Handle: RePEc:eee:eneeco:v:66:y:2017:i:c:p:272-278
    DOI: 10.1016/j.eneco.2017.06.022
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    6. Nazia Yasmin & Philipp Grundmann, 2019. "Pre- and Post-Adoption Beliefs about the Diffusion and Continuation of Biogas-Based Cooking Fuel Technology in Pakistan," Energies, MDPI, vol. 12(16), pages 1-16, August.
    7. Mukeshimana, Marie Claire & Zhao, Zhen-Yu & Ahmad, Munir & Irfan, Muhammad, 2021. "Analysis on barriers to biogas dissemination in Rwanda: AHP approach," Renewable Energy, Elsevier, vol. 163(C), pages 1127-1137.
    8. Syed M Amir & Yonggong Liu & Ashfaq A Shah & Umer Khayyam & Zafar Mahmood, 2020. "Empirical study on influencing factors of biogas technology adoption in Khyber Pakhtunkhwa, Pakistan," Energy & Environment, , vol. 31(2), pages 308-329, March.
    9. Dagnachew, Anteneh G. & Hof, Andries F. & Lucas, Paul L. & van Vuuren, Detlef P., 2020. "Scenario analysis for promoting clean cooking in Sub-Saharan Africa: Costs and benefits," Energy, Elsevier, vol. 192(C).
    10. Huang, Xianlei & Wang, Shu & Shi, Zuliang & Fang, Linna & Yin, Changbin, 2022. "Challenges and strategies for biogas production in the circular agricultural waste utilization model: A case study in rural China," Energy, Elsevier, vol. 241(C).
    11. Atsushi Shimahata & Mohamed Farghali & Masahiko Fujii, 2020. "Factors Influencing the Willingness of Dairy Farmers to Adopt Biogas Plants: A Case Study in Hokkaido, Japan," Sustainability, MDPI, vol. 12(18), pages 1-15, September.
    12. Muhammad Ahmar & Fahad Ali & Yuexiang Jiang & Mamdooh Alwetaishi & Sherif S. M. Ghoneim, 2022. "Households’ Energy Choices in Rural Pakistan," Energies, MDPI, vol. 15(9), pages 1-23, April.
    13. He, Pan & Lovo, Stefania & Veronesi, Marcella, 2022. "Social networks and renewable energy technology adoption: Empirical evidence from biogas adoption in China," Energy Economics, Elsevier, vol. 106(C).
    14. He, Ke & Ye, Lihong & Li, Fanlue & Chang, Huayi & Wang, Anbang & Luo, Sixuan & Zhang, Junbiao, 2022. "Using cognition and risk to explain the intention-behavior gap on bioenergy production: Based on machine learning logistic regression method," Energy Economics, Elsevier, vol. 108(C).
    15. Yasmin, Nazia & Grundmann, Philipp, 2019. "Adoption and diffusion of renewable energy – The case of biogas as alternative fuel for cooking in Pakistan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 101(C), pages 255-264.
    16. Xu, Bin & Lin, Boqiang, 2018. "Assessing the development of China's new energy industry," Energy Economics, Elsevier, vol. 70(C), pages 116-131.
    17. Novice Patrick Bakehe, 2021. "What drives biogas adoption in rural Lesotho?," African Development Review, African Development Bank, vol. 33(2), pages 357-367, June.
    18. Ahmad, Munir & Wu, Yiyun, 2022. "Household-based factors affecting uptake of biogas plants in Bangladesh: Implications for sustainable development," Renewable Energy, Elsevier, vol. 194(C), pages 858-867.
    19. Jabeen, Gul & Yan, Qingyou & Ahmad, Munir & Fatima, Nousheen & Jabeen, Maria & Li, Heng & Qamar, Shoaib, 2020. "Household-based critical influence factors of biogas generation technology utilization: A case of Punjab province of Pakistan," Renewable Energy, Elsevier, vol. 154(C), pages 650-660.

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    Keywords

    Biogas technology; Determinants; Adoption; Tigray region;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • D11 - Microeconomics - - Household Behavior - - - Consumer Economics: Theory
    • Q01 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Sustainable Development
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources

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