Demand for Electricity Connection in Rural Areas:The Case of Kenya
A modern form of energy, in particular electricity for household use, is an important vehicle in alleviating poverty in developing countries. However, access and costs of connecting to this service for most poor in these countries is inconceivable. Policies promoting electricity connection in rural areas are known to be beneficial in improving the socio-economic and health well-being for households. This paper examines willingness to pay (WTP) for rural electrification connection in Kisumu district, Kenya, using the contingent valuation method (CVM). A nonparametric and a parametric model are employed to estimate WTP values for two electricity products: grid electricity (GE) and photovoltaic (PV) electricity. The results indicate that respondents are willing to pay more for GE services than PV and households favoured monthly connection payments over a lump sum amount. Some of the policies suggested in this paper include: subsidizing the connection costs for both sources of electricity, adjusting the payment periods, and restructuring the market ownership of providing rural electricity services.
|Date of creation:||Nov 2009|
|Date of revision:|
|Contact details of provider:|| Postal: Claverton Down, Bath BA2 7AY|
Phone: +44 (0)1225 383799
Fax: +44 (0)1225 323423
Web page: http://www.bath.ac.uk
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Bengt Kristrom, 1990. "A Non-Parametric Approach to the Estimation of Welfare Measures in Discrete Response Valuation Studies," Land Economics, University of Wisconsin Press, vol. 66(2), pages 135-139.
- Arkesteijn, Karlijn & Oerlemans, Leon, 2005. "The early adoption of green power by Dutch households: An empirical exploration of factors influencing the early adoption of green electricity for domestic purposes," Energy Policy, Elsevier, vol. 33(2), pages 183-196, January.
- Roe, Brian & Teisl, Mario F. & Levy, Alan & Russell, Matthew, 2001. "US consumers' willingness to pay for green electricity," Energy Policy, Elsevier, vol. 29(11), pages 917-925, September.
- Alberini Anna, 1995. "Efficiency vs Bias of Willingness-to-Pay Estimates: Bivariate and Interval-Data Models," Journal of Environmental Economics and Management, Elsevier, vol. 29(2), pages 169-180, September.
- Rabah, Kefa V.O., 2005. "Integrated solar energy systems for rural electrification in Kenya," Renewable Energy, Elsevier, vol. 30(1), pages 23-42.
- Longo, Alberto & Markandya, Anil & Petrucci, Marta, 2008.
"The internalization of externalities in the production of electricity: Willingness to pay for the attributes of a policy for renewable energy,"
Elsevier, vol. 67(1), pages 140-152, August.
- Alberto Longo & Anil Markandya & Marta Petrucci, 2006. "The Internalization of Externalities in The Production of Electricity: Willingness to Pay for the Attributes of a Policy for Renewable Energy," Working Papers 2006.132, Fondazione Eni Enrico Mattei.
- An, Li & Lupi, Frank & Liu, Jianguo & Linderman, Marc A. & Huang, Jinyan, 2002. "Modeling the choice to switch from fuelwood to electricity: Implications for giant panda habitat conservation," Ecological Economics, Elsevier, vol. 42(3), pages 445-457, September.
- Richard Carson & Robert Mitchell & Michael Hanemann & Raymond Kopp & Stanley Presser & Paul Ruud, 2003. "Contingent Valuation and Lost Passive Use: Damages from the Exxon Valdez Oil Spill," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 25(3), pages 257-286, July.
- Cameron Trudy Ann & Quiggin John, 1994.
"Estimation Using Contingent Valuation Data from a Dichotomous Choice with Follow-Up Questionnaire,"
Journal of Environmental Economics and Management,
Elsevier, vol. 27(3), pages 218-234, November.
- Trudy Ann Cameron & John Quiggin, 1992. "Estimation Using Contingent Valuation Data From a "Dichotomous Choice with Follow-Up" Questionnaire," UCLA Economics Working Papers 653, UCLA Department of Economics.
- Loureiro, Maria L. & Loomis, John B. & Nahuelhual, Laura, 2004. "A comparison of a parametric and a non-parametric method to value a non-rejectable public good," Journal of Forest Economics, Elsevier, vol. 10(2), pages 61-74, September.
- Timothy C. Haab & Kenneth E. McConnell, .
"Referendum Models and Negative Willingness to Pay: Alternative Solutions,"
9610, East Carolina University, Department of Economics.
- Haab, Timothy C. & McConnell, Kenneth E., 1997. "Referendum Models and Negative Willingness to Pay: Alternative Solutions," Journal of Environmental Economics and Management, Elsevier, vol. 32(2), pages 251-270, February.
- Alvarez-Farizo, Begona & Hanley, Nick, 2002. "Using conjoint analysis to quantify public preferences over the environmental impacts of wind farms. An example from Spain," Energy Policy, Elsevier, vol. 30(2), pages 107-116, January.
- Beenstock, Michael & Goldin, Ephraim & Haitovsky, Yoel, 1998. "Response bias in a conjoint analysis of power outages," Energy Economics, Elsevier, vol. 20(2), pages 135-156, April.
- Bergmann, Ariel & Hanley, Nick & Wright, Robert, 2006. "Valuing the attributes of renewable energy investments," Energy Policy, Elsevier, vol. 34(9), pages 1004-1014, June.
- van der Plas, Robert J & Hankins, Mark, 1998. "Solar electricity in Africa: a reality," Energy Policy, Elsevier, vol. 26(4), pages 295-305, March.
When requesting a correction, please mention this item's handle: RePEc:eid:wpaper:17070. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Research Publications Librarian)
If references are entirely missing, you can add them using this form.