Abstract
The transition toward cleaner fuels is considered an essential component to achieve sustainable economic development due to its environmental and health-related implications. However, the disarray among academicians on the explanatory power of existing models of energy transition has restrained its practical implementation. This study develops an alternative to explain energy transition at the household level by proposing “6Es” framework to rank various fuels and formulate a household energy transition index. This index includes the virtues of both the energy ladder and the energy stacking models. Multinomial logit model has been employed to test the traditional energy ladder hypothesis, and OLS has been used to estimate household energy transition index at the aggregated level as well as at the disaggregated provincial level in Pakistan. Contrary to the previously developed indices, the estimated results of the energy transition index significantly explain the changes in fuel consumption. The results indicate that income is not the only factor that affects energy transition. Household-specific factors such as prices, size, education, profession, and area also play an imperative role. Our estimates suggest that rural households are 22 percent more likely to consume primitive fuels. The findings suggest that prices of primitive fuels affect energy transition index in rural areas. Variable such as education and female bargaining power are positively linked with energy transition.
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Notes
Household energy profile refers to the combination of energy services, energy devices and energy carriers used by the households to power up their daily routine (Kowsari and Zerriffi 2011).
According to HIES (2011–2012), at aggregated national level, 22 percent of household fuel budget comprised of primitive fuels. Alarmingly, this share increased to 29 percent in 2016. In rural areas, this share increased to about 50 percent in 2016 from 38 percent in 2012 (HIES, 2015–2016).
Stacking up the ladder measure formulated by (Choumert-Nkolo et al., 2019) articulated that for cooking fuels, prices do not matter. However, studies for example (Kapsalyamova et al., 2021; Waleed and Mirza 2020) have showed that households respond to prices, particularly, for primitive fuels in rural areas.
Calorific power is the amount of energy contained in a fuel; it is computed by measuring the amount of heat produced in the process of combustion.
Stacking up the ladder index developed by (Choumert-Nkolo et al., 2019) and Household Energy Transition Index developed by this study.
References
Burke, P. J., & Dundas, G. (2015). Female labor force participation and household dependence on biomass energy: Evidence from national longitudinal data. World Development, 67, 424–437.
Choumert-Nkolo, J., Motel, P. C., & Le Roux, L. (2019). Stacking up the ladder: A panel data analysis of Tanzanian household energy choices. World Development, 115, 222–235.
Bonan, J., Pareglio, S., & Tavoni, M. (2017). Access to modern energy: A review of barriers, drivers and impacts. Environment and Development Economics, 22(5), 491–516.
Van der Kroon, B., Brouwer, R., & Van Beukering, P. J. (2013). The energy ladder: Theoretical myth or empirical truth? Results from a meta-analysis. Renewable and Sustainable Energy Reviews, 20, 504–513.
Duflo, E., Greenstone, M., & Hanna, R. (2008). Indoor air pollution, health and economic well-being. SAPI EN. S. Surveys and Perspectives Integrating Environment and Society, 1(1), 178.
Tang, X., & Liao, H. (2014). Energy poverty and solid fuels use in rural China: Analysis based on national population census. Energy for Sustainable Development, 23, 122–129.
Masera, O. R., Saatkamp, B. D., & Kammen, D. M. (2000). From linear fuel switching to multiple cooking strategies: A critique and alternative to the energy ladder model. World Development, 28(12), 2083–2103.
Kowsari, R., & Zerriffi, H. (2011). Three-dimensional energy profile: A conceptual framework for assessing household energy use. Energy Policy, 39(12), 7505–7517.
Cooke, P., Köhlin, G., & Hyde, W. F. (2008). Fuelwood, forests and community management–evidence from household studies. Environment and Development Economics, 13(1), 103–135.
Ravindra, K., Kaur-Sidhu, M., Mor, S., & John, S. (2019). Trend in household energy consumption pattern in India: A case study on the influence of socio-cultural factors for the choice of clean fuel use. Journal of Cleaner Production, 213, 1024–1034.
Malik, A. (2008). Power crisis in Pakistan: a crisis in governance? Pakistan Institute of Development Economics.
Hosier, R. H., & Dowd, J. (1987). Household fuel choice in Zimbabwe: An empirical test of the energy ladder hypothesis. Resources and Energy, 9(4), 347–361.
Reddy, B. S. (1995). A multilogit model for fuel shifts in the domestic sector. Energy, 20(9), 929–936.
Nazer, M. (2016). Household Energy Consumption Analysis in Indonesia 2008–2011. In Proceedings of SOCIONT.
Alam, M. S., Bala, B. K., & Huq, A. M. Z. (1997). Simulation of integrated rural energy system for farming in Bangladesh. Energy, 22(6), 591–599.
Campbell, B. M., Vermeulen, S. J., Mangono, J. J., & Mabugu, R. (2003). The energy transition in action: Urban domestic fuel choices in a changing Zimbabwe. Energy Policy, 31(6), 553–562.
Davis, M. (1998). Rural household energy consumption: The effects of access to electricity—evidence from South Africa. Energy Policy, 26(3), 207–217.
Heltberg, R., Arndt, T. C., & Sekhar, N. U. (2000). Fuelwood consumption and forest degradation: A household model for domestic energy substitution in rural India. Land Economics, 2, 213–232.
Ouedraogo, B. (2006). Household energy preferences for cooking in urban Ouagadougou. Burkina Faso. Energy Policy, 34(18), 3787–3795.
Madubansi, M., & Shackleton, C. M. (2006). Changing energy profiles and consumption patterns following electrification in five rural villages, South Africa. Energy Policy, 34(18), 4081–4092.
Ruiz-Mercado, I., & Masera, O. (2015). Patterns of stove use in the context of fuel–device stacking: Rationale and implications. EcoHealth, 12(1), 42–56.
Heltberg, R. (2004). Fuel switching: Evidence from eight develo** countries. Energy Economics, 76(2), 213–232.
Burney, N. A., & Akhtar, N. (1990). Fuel demand elasticities in Pakistan: An analysis of households’ expenditure on fuels using micro data. The Pakistan Development Review, 2, 155–174.
Rahut, D. B., Ali, A., Mottaleb, K. A., & Aryal, J. P. (2019). Wealth, education and cooking-fuel choices among rural households in Pakistan. Energy Strategy Reviews, 24, 236–243.
Irfan, M., Cameron, M. P., & Hassan, G. (2017). Households’ Energy Mix Selection in Pakistan (No. 17/28).
Hosier, R. H. (2004). Energy ladder in develo** nations.
Toole, R. (2015). The Energy Ladder: A Valid Model for Household Fuel Transitions in Sub-Saharan Africa. Unpublished MS.thesis, Tufts University.
Gundimeda, H., & Köhlin, G. (2008). Fuel demand elasticities for energy and environmental policies: Indian sample survey evidence. Energy Economics, 30(2), 517–546.
Goldemberg, J. (Ed.). (2000). World energy assessment: Energy and the challenge of sustainability (pp. 1–29). New York
Bhattacharyya, S. C. (2011). Energy economics: Concepts, issues, markets and governance. Springer.
Masera, O. R., & Navia, J. (1997). Fuel switching or multiple cooking fuels? Understanding inter-fuel substitution patterns in rural Mexican households. Biomass and Bioenergy, 12(5), 347–361.
Ramani, K. V., & Heijndermans, E. (2003). Energy, poverty, and gender-a synthesis.
Bhattacharya, S. C., & Abdul Salam, P. (2002). Low greenhouse gas biomass options for cooking in the develo** countries. Biomass and Bioenergy, 22(4), 305–317. https://doi.org/10.1016/S0961-9534(02)00008-9
Rao, M. N., & Reddy, B. S. (2007). Variations in energy use by Indian households: An analysis of micro level data. Energy, 32(2), 143–153.
Smith, K. R., McCracken, J. P., Weber, M. W., Hubbard, A., Jenny, A., Thompson, L. M., & Bruce, N. (2000). Effect of reduction in household air pollution on childhood pneumonia in Guatemala (RESPIRE): A randomised controlled trial. The Lancet, 378(9804), 1717–1726.
Zhang, J., Smith, K., Ma, Y., Ye, S., Jiang, F., Qi, W., & Thorneloe, S. (2000). Greenhouse gases and other airborne pollutants from household stoves in China: A database for emission factors. Atmospheric Environment, 34(26), 4537–4549. https://doi.org/10.1016/S1352-2310(99)00450-1
Lay, J., Ondraczek, J., & Stoever, J. (2013). Renewables in the energy transition: Evidence on solar home systems and lighting fuel choice in Kenya. Energy Economics, 40, 350–359. https://doi.org/10.1016/j.eneco.2013.07.024
Andadari, R. K., Mulder, P., & Rietveld, P. (2014). Energy poverty reduction by fuel switching. Impact evaluation of the LPG conversion program in Indonesia. Energy Policy, 66, 436–449.
Alem, Y., Beyene, A. D., Köhlin, G., & Mekonnen, A. (2016). Modeling household cooking fuel choice: A panel multinomial logit approach. Energy Economics, 59, 129–137.
Paudel, K. P., Pandit, M., & Dunn, M. A. (2013). Using spectral analysis and multinomial logit regression to explain households’ choice patterns. Empirical Economics, 44(2), 739–760.
Gujarati, D. N. (2009).Basic econometrics. Tata McGraw-Hill Education.
Muller, C., & Yan, H. (2018). Household fuel use in develo** countries: Review of theory and evidence. Energy Economics, 70, 429–439.
Blimpo, M., McRae, S., & Steinbuks, J. (2018). Why are connection charges so high?: An analysis of the electricity sector in Sub-saharan Africa. Policy Research Working Paper; No. 8407. World Bank, Washington, DC. World Bank. https://openknowledge.worldbank.org/handle/10986/29709 License: CC BY 3.0 IGO
Pachauri, S., & Rao, N. D. (2013). Gender impacts and determinants of energy poverty: Are we asking the right questions? Current Opinion in Environmental Sustainability, 5, 205–215. https://doi.org/10.1016/j.cosust.2013.04.006
Kapsalyamova, Z., Mishra, R., Kerimray, A., Karymshakov, K., & Azhgaliyeva, D. (2021). Why energy access is not enough for choosing clean cooking fuels? Evidence from the multinomial logit model. Journal of Environmental Management, 290, 112539.
Waleed, K., & Mirza, F. M. (2020). Examining behavioral patterns in household fuel consumption using two-stage-budgeting framework for energy and environmental policies: Evidence based on micro data from Pakistan. Energy Policy, 147, 111835.
Geller, H. S. (1982). Fuel efficiency and performance of traditional and innovative cookstoves. Proceedings of the Indian Academy of Sciences Section c: Engineering Sciences, 5(4), 373–393.
Lokonon, B. O. K. (2020). Household cooking fuel choice: Evidence from the Republic of Benin. African Development Review, 32(4), 686–698.
Ai, X. N., Du, Y. F., Li, W. M., Li, H., & Liao, H. (2021). The pattern of household energy transition. Energy, 234, 121277.
Holt, E. (2016). Potential RPS Markets for Renewable Energy Generators. Holt & Associates, Inc. http://www.cesa.org/assets/2016-Files/Potential-RPS-Markets-Report-Holt.pdf.
Li, Y., Zhang, F., & Yuan, J. (2019). Research on China’s renewable portfolio standards from the perspective of policy networks. Journal of Cleaner Production, 222, 986–997.
Mirza, F. M., & Waleed, K. (2016). Daylight saving time and potential of electricity conservation: A case study of geographical and seasonal factors of Pakistan. The Pakistan Journal of Social Issues, 7, 19–40.
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Appendix A
See Tables 11, 12, 13, 14, 15, 16, 17, 18.
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Waleed, K., Mirza, F.M. Examining fuel choice patterns through household energy transition index: an alternative to traditional energy ladder and stacking models. Environ Dev Sustain 25, 6449–6501 (2023). https://doi.org/10.1007/s10668-022-02312-8
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DOI: https://doi.org/10.1007/s10668-022-02312-8