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Household energy demand in Kenya: An application of the linear approximate almost ideal demand system (LA-AIDS)

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  • Ngui, Dianah
  • Mutua, John
  • Osiolo, Hellen
  • Aligula, Eric

Abstract

This paper estimates price and fuel expenditure elasticities of demand by applying the linear Approximate Almost Ideal Demand system (LA-AIDS) to 3665 households sampled across Kenya in 2009. The results indicate that motor spirit premium (MSP), automotive gas oil (AGO) and lubricants are price elastic while fuel wood, kerosene, charcoal, liquefied petroleum gas (LPG) and electricity are price inelastic. Kerosene is income elastic while fuel wood, charcoal, LPG, electricity, MSP and AGO are income inelastic. The results also reveal fuel stack behaviour, that is, multiple fuel use among the households. Main policy implications of the results include increasing the penetration of alternative fuels as well as provision of more fiscal incentives to increase usage of cleaner fuels. This not withstanding however, the household income should be increased beyond a certain point for the household to completely shift and use a new fuel.

Suggested Citation

  • Ngui, Dianah & Mutua, John & Osiolo, Hellen & Aligula, Eric, 2011. "Household energy demand in Kenya: An application of the linear approximate almost ideal demand system (LA-AIDS)," Energy Policy, Elsevier, vol. 39(11), pages 7084-7094.
  • Handle: RePEc:eee:enepol:v:39:y:2011:i:11:p:7084-7094
    DOI: 10.1016/j.enpol.2011.08.015
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    as
    1. Sterner, Thomas, 2007. "Fuel taxes: An important instrument for climate policy," Energy Policy, Elsevier, vol. 35(6), pages 3194-3202, June.
    2. Jonathan E. Hughes & Christopher R. Knittel & Daniel Sperling, 2008. "Evidence of a Shift in the Short-Run Price Elasticity of Gasoline Demand," The Energy Journal, International Association for Energy Economics, vol. 29(1), pages 113-134.
    3. Rasmus Heltberg & Thomas Channing Arndt & Nagothu Udaya Sekhar, 2000. "Fuelwood Consumption and Forest Degradation: A Household Model for Domestic Energy Substitution in Rural India," Land Economics, University of Wisconsin Press, vol. 76(2), pages 213-232.
    4. Heien, Dale & Wessells, Cathy Roheim, 1990. "Demand Systems Estimation with Microdata: A Censored Regression Approach," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(3), pages 365-371, July.
    5. Kidane, Asmerom, 1991. "Demand for energy in rural and urban centres of Ethiopia : An econometric analysis," Energy Economics, Elsevier, vol. 13(2), pages 130-134, April.
    6. Gebreegziabher, Zenebe & Oskam, Arie J. & Bayou, Demeke, 2010. "Urban Fuel Demand in Ethiopia: An Almost-Ideal Demand System Approach," Discussion Papers dp-10-20-efd, Resources For the Future.
    7. Lester C Hunt & Claudio Salgado & Andy Thorpe, 1998. "The Policy of Power and the Power of Policy: Energy Policy in Honduras," Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) 96, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
    8. Hosier, Richard H. & Dowd, Jeffrey, 1987. "Household fuel choice in Zimbabwe : An empirical test of the energy ladder hypothesis," Resources and Energy, Elsevier, vol. 9(4), pages 347-361, December.
    9. Susan Olivia & John Gibson, 2008. "Household Energy Demand and the Equity and Efficiency Aspects of Subsidy Reform in Indonesia," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 21-40.
    10. Athukorala, P.P.A Wasantha & Wilson, Clevo, 2010. "Estimating short and long-term residential demand for electricity: New evidence from Sri Lanka," Energy Economics, Elsevier, vol. 32(Supplemen), pages 34-40, September.
    11. Masera, Omar R. & Saatkamp, Barbara D. & Kammen, Daniel M., 2000. "From Linear Fuel Switching to Multiple Cooking Strategies: A Critique and Alternative to the Energy Ladder Model," World Development, Elsevier, vol. 28(12), pages 2083-2103, December.
    12. Paul Brenton, 1997. "Estimates of the demand for energy using cross-country consumption data," Applied Economics, Taylor & Francis Journals, vol. 29(7), pages 851-859.
    13. de Freitas, Luciano Charlita & Kaneko, Shinji, 2011. "Ethanol demand in Brazil: Regional approach," Energy Policy, Elsevier, vol. 39(5), pages 2289-2298, May.
    14. Blundell, Richard, 1988. "Consumer Behaviour: Theory and Empirical Evidence--a Survey," Economic Journal, Royal Economic Society, vol. 98(389), pages 16-65, March.
    15. Rajmohan, K. & Weerahewa, J., 2007. "Household Energy Consumption Patterns in Sri Lanka," Sri Lankan Journal of Agricultural Economics, Sri Lanka Agricultural Economics Association (SAEA), vol. 9.
    16. Angulo, Ana Maria & Gil, Jose Maria & Gracia, Azucena, 2001. "The demand for alcoholic beverages in Spain," Agricultural Economics, Blackwell, vol. 26(1), pages 71-83, October.
    17. Baker, Paul & Blundell, Richard & Micklewright, John, 1989. "Modelling Household Energy Expenditures Using Micro-data," Economic Journal, Royal Economic Society, vol. 99(397), pages 720-738, September.
    18. Ibrahim, Ibrahim B. & Hurst, Christopher, 1990. "Estimating energy and oil demand functions : A study of thirteen developing countries," Energy Economics, Elsevier, vol. 12(2), pages 93-102, April.
    19. Iootty, Mariana & Pinto Jr., Helder & Ebeling, Francisco, 2009. "Automotive fuel consumption in Brazil: Applying static and dynamic systems of demand equations," Energy Policy, Elsevier, vol. 37(12), pages 5326-5333, December.
    20. Angulo, Ana Maria & Gil, Jose Maria & Gracia, Azucena, 2001. "The demand for alcoholic beverages in Spain," Agricultural Economics of Agricultural Economists, International Association of Agricultural Economists, vol. 26(1), October.
    21. Muellbauer, John, 1976. "Community Preferences and the Representative Consumer," Econometrica, Econometric Society, vol. 44(5), pages 979-999, September.
    22. Arnold, J.E. Michael & Kohlin, Gunnar & Persson, Reidar, 2006. "Woodfuels, livelihoods, and policy interventions: Changing Perspectives," World Development, Elsevier, vol. 34(3), pages 596-611, March.
    23. Haripriya Gundimeda & Gunnar Köhlin, 2006. "Fuel Demand Elasticities for Energy and Environmental Policies Indian Sample Survey Evidence," Energy Working Papers 22501, East Asian Bureau of Economic Research.
    24. Zenebe, Gebreegziabher & Oskam, Arie J. & Bayou, Demeke, 2010. "Urban Fuel Demand in Ethiopia: an Almost-Ideal Demand System Approach," Ethiopian Journal of Economics, Ethiopian Economics Association, vol. 19(1).
    25. Israel, Debra, 2002. "Fuel Choice in Developing Countries: Evidence from Bolivia," Economic Development and Cultural Change, University of Chicago Press, vol. 50(4), pages 865-890, July.
    26. John Muellbauer, 1975. "Aggregation, Income Distribution and Consumer Demand," Review of Economic Studies, Oxford University Press, vol. 42(4), pages 525-543.
    27. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    28. Hughes-Cromwick, Ellen L., 1985. "Nairobi households and their energy use : An economic analysis of consumption patterns," Energy Economics, Elsevier, vol. 7(4), pages 265-278, October.
    29. Ramanathan, R., 1999. "Short- and long-run elasticities of gasoline demand in India: An empirical analysis using cointegration techniques," Energy Economics, Elsevier, vol. 21(4), pages 321-330, August.
    30. Naeem Ur Rehman, Khattak & Tariq, Muhammad & Khan, Jangraiz, 2010. "Determinants of Household’s Demand for Electricity in District Peshawar," MPRA Paper 56007, University Library of Munich, Germany, revised 2010.
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    Keywords

    Energy; Demand; LA-AIDS model;

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