Avoiding unanticipated power outages: households’ willingness to pay in India

Bigerna, Simona and Choudhary, Piyush and Kumar Jain, Nikunj and Micheli, Silvia and Polinori, Paolo (2022): Avoiding unanticipated power outages: households’ willingness to pay in India.

Abstract

Reliable electricity is a key factor in improving the living conditions of households and sustainable development of the country. Power outages restrict economic and social welfare of developing countries. This study used contingent valuation survey to elicit the factors affecting Indian household’s willingness to pay to avoid unanticipated power outages. The survey was outlined to ensure that a household gives preferences considering multiple aspects of the outages. The households were asked to state their willingness to pay for five different types of outages. Empirical data from 1043 Indian households were analyzed using double hurdle approach. The econometric results indicate that the households’ willingness to pay to avoid power outage strictly depend on the length of outages ranging, on average, from 30.2 INR (2 hours) to INR. 245.6 (12 hours). Further income and environmental attitude of respondents positively influence higher WTP to avoid power outages. Our findings provide useful insights for policy makers and utility companies to design more reliable and customer centric energy generation and distribution models.

• Item Type: MPRA Paper
• Commentary on: Bigerna, Simona and Choudhary, Piyush and Kumar Jain, Nikunj and Micheli, Silvia and Polinori, Paolo (2022): Avoiding unanticipated power outages: households’ willingness to pay in India.
• Language: English
• Keywords: Power outages; contingent valuation; willingness to pay; residential electricity
• Subjects: C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C24 - Truncated and Censored Models ; Switching Regression Models ; Threshold Regression Models; C - Mathematical and Quantitative Methods > C9 - Design of Experiments > C93 - Field Experiments; D - Microeconomics > D1 - Household Behavior and Family Economics > D12 - Consumer Economics: Empirical Analysis; Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q4 - Energy > Q41 - Demand and Supply ; Prices

References

Abdullah, S., Mariel, P., 2010. Choice experiment study on the willingness to pay to improve electricity services. Energy policy, 38(8), 4570-4581.

Agrawal, S., Bali, N., Urpelainen, J., 2019. Rural electrification in India: Customer behaviour and demand. Report, Smart Power India & Initiative for Sustainable Energy Policy.

Agrawal, S., Mani, S., Jain, A., Ganesan, K., 2020. State of electricity access in India: Insights from the India residential energy survey (IRES) 2020. New Delhi: Council on Energy, Environment and Water.

Alberini, A., Steinbuks, J., Timilsina, G., 2022. How valuable is the reliability of residential electricity supply in low-income countries? Evidence from Nepal. The Energy Journal, 43(4).

Amoah, A., Ferrini, S., Schaafsma, M., 2019. Electricity outages in Ghana: Are contingent valuation estimates valid?. Energy Policy, 135, 110996.

Bakkensen, L., Schuler, P., 2020. A preference for power: Willingness to pay for energy reliability versus fuel type in Vietnam. Energy Policy, 144, 111696.

Barr, S., Gilg, AW., 2007. A conceptual framework for understanding and analyzing attitudes towards environmental behaviour. Geografiska Annaler: Series B, Human Geography, 89(4), 361-379.

Blankenship, B., Wong, JCY., Urpelainen, J., 2019. Explaining willingness to pay for pricing reforms that improve electricity service in India. Energy Policy, 128, 459-469.

Blomquist, GC., Whitehead, JC., 1998. Resource quality information and validity of willingness to pay in contingent valuation. Resource and Energy Economics, 20(2), 179-196.

Boyle, KJ., 2003. Contingent valuation in practice. In: Champ PA, Boyle KJ,

Brown TC (eds) A primer on nonmarket valuation. Dordrecht: Kluwer, 83-131.

Cameron, TA., Huppert, DD., 1989. OLS versus ML estimation of non-market resource values with payment card interval data. Journal of Environmental Economics and Management, 17(3), 230-246.

Carlsson, F., Martinsson, P., 2007. Willingness to pay among Swedish households to avoid power outages: a random parameter Tobit model approach. The Energy Journal, 28(1), 75-89.

Carlsson, F., Martinsson, P., 2008. Does it matter when a power outage occurs? A choice experiment study on the willingness to pay to avoid power outages. Energy Economics, 30(3), 1232-1245.

Carlsson, F., Kataria, M., Lampi, E., Martinsson, P., 2021. Past and present outage costs–A follow-up study of households’ willingness to pay to avoid power outages. Resource and Energy Economics, 64, 101216.

Carson, RT., Flores, NE., Meade, NF., 2001. Contingent valuation: Controversies and evidence. Environmental and resource economics, 19(2), 173-210. Census, 2018. Available at: https://www.census2011.co.in/census/city/49-delhi.html

Champ, PA., Flores, NE., Brown, TC., Chivers, J., 2002. Contingent valuation and incentives. Land Economics, 78(4), 591-604.

Chilton, SM., Hutchinson, WG., 2003. A qualitative examination of how respondents in a contingent valuation study rationalise their WTP responses to an increase in the quantity of the environmental good. Journal of Economic Psychology, 24(1), 65-75.

Chindarkar, N., Jain, A., Mani, S., 2021. Examining the willingness-to-pay for exclusive use of LPG for cooking among rural households in India. Energy Policy, 150, 112107.

Cohen, J., Moeltner, K., Reichl, J., Schmidthaler, M., 2018. Valuing electricity-dependent infrastructure: An essential-input approach. Energy Economics, 73, 258-273.

Cragg, JG., 1971. Some statistical models for limited dependent variables with application to the demand for durable goods. Econometrica, 39(5), 829-844.

Cummings, RG., Taylor, LO., 1999. Unbiased value estimates for environmental goods: a cheap talk design for the contingent valuation method. American Economic Reviev, 89, 649–65.

Deutschmann, JW., Postepska, A., Sarr, L., 2021. Measuring willingness to pay for reliable electricity: Evidence from Senegal. World Development, 138, 105209.

Diaz-Rainey, I., Ashton, JK., 2008. Stuck between a ROC and a hard place? Barriers to the take up of green energy in the UK. Energy Policy, 36, 3053–3061.

Graber, S., Narayanan, T., Alfaro, J., Palit, D., 2018. Solar microgrids in rural India: Consumers' willingness to pay for attributes of electricity. Energy for Sustainable Development, 42, 32-43.

Gunatilake, HM., Patil, S., Yang, JC., 2012. Valuing electricity service attributes: A choice experiment study in Madhya Pradesh, India. Asian Development Bank Economics Working Paper Series, (316).

Guo, X., Liu, H., Mao, X., Jin, J., Chen, D., Cheng, S., 2014. Willingness to pay for renewable electricity: A contingent valuation study in Beijing, China. Energy Policy, 68, 340-347.

Heckman, JJ., 1979. Sample selection bias as a specification error. Econometrica: Journal of the econometric society, 153-161.

Hensher, DA., Shore, N., Train, K., 2014. Willingness to pay for residential electricity supply quality and reliability. Applied energy, 115, 280-292.

Hu, W., 2006. Use of spike models in measuring consumers' willingness to pay for non-GM oil. Journal of Agricultural and Applied Economics, 38(3), 525-538.

International Energy Agency, 2021. India Energy Outlook 2021, World Energy Outlook Special Report

Kateregga, E., 2009. The welfare costs of electricity outages: A contingent valuation analysis of households in the suburbs of Kampala, Jinja and Entebbe. Journal of Development and Agricultural Economics, 1(1), 001-011.

Kennedy, R., Mahajan, A., Urpelainen, J., 2019. Quality of service predicts willingness to pay for household electricity connections in rural India. Energy policy, 129, 319-326.

Khandker, SR., Barnes, DF., Samad, HA., 2012. The welfare impacts of rural electrification in Bangladesh. The Energy Journal, 33(1).

Khandker, SR., Samad, HA., Ali, R., Barnes, DF., 2014. Who benefits most from rural electrification? Evidence in India. The Energy Journal, 35(2).

Jakobsson, KM., Dragun, AK., 2001. The worth of a possum: valuing species with the contingent valuation method. Environmental and Resource Economics, 19(3), 211-227.

Lindsey, G., 1994. Market models, protest bids, and outliers in contingent valuation. Journal of Water Resources Planning and Management, 120(1), 121-129.

Ma, C., Rogers, A.A., Kragt, ME., Zhang, F., Polyakov, M., Gibson, F., Chalak, M., Pantida, R., Tapsuwan, S., 2015. Consumers’ willingness to pay for renewable energy: A meta-regression analysis. Resource and Energy Economics, 42, 93-109.

MacMillan, D., Hanley, N., Lienhoop, N., 2006. Contingent valuation: environmental polling or preference engine?. Ecological economics, 60(1), 299-307.

Meles, T.H., 2020. Impact of power outages on households in developing countries: Evidence from Ethiopia. Energy Economics, 91, 104.

Meyerhoff, J., Liebe, U., 2006. Protest beliefs in contingent valuation: explaining their motivation. Ecological Economics, 57(4), 583-594.

Mitchell, RC., Carson, RT., 1984. Willingness to pay for national freshwater quality improvements. Draft Final Report to the U.S. EPA, CR 810224–01–4.

Mitchell, RC., Carson, RT., 1986. Property rights, protest, and the siting of hazardous waste facilities. American Economic Review, 76(2), 285-290.

Morrison, MD., Blamey, RK., Bennett, JW., 2000. Minimising payment vehicle bias in contingent valuation studies. Environmental and Resource Economics, 16, 407-422

Morrissey, K., Plater, A., Dean, M., 2018. The cost of electric power outages in the residential sector: A willingness to pay approach. Applied energy, 212, 141-150. 882.

Oerlemans, LA., Chan, KY., Volschenk, J., 2016. Willingness to pay for green electricity: A review of the contingent valuation literature and its sources of error. Renewable and Sustainable Energy Reviews, 66, 875-885.

Oseni, MO., 2017. Self-generation and households' willingness to pay for reliable electricity service in Nigeria. The Energy Journal, 38(4).

Ozbafli, A., Jenkins, GP., 2015. The willingness to pay by households for improved reliability of electricity service in North Cyprus. Energy Policy, 87, 359-369.

Polinori, P., Marcucci, E., Bollino, CA., Bigerna, S., Gatta, V., 2018. Eco-labeling and sustainable urban freight transport: how much are people willing to pay for green logistics? International Journal of Transport Economics, XLV(4), 631-658.

Ready, RC., Navrud, S., Dubourg, WR., 2001. How do respondents with uncertain willingness to pay answer contingent valuation questions? Land economics, 77(3), 315-326.

Roodman, D., 2011. Fitting fully observed recursive mixed-process models with cmp. Stata Journal 11, 159-206.

Sedai, AK., Nepal, R., Jamasb, T., 2022. Electrification and socio-economic empowerment of women in India. The Energy Journal, 43(2).

Smith, M.G., Urpelainen, J., 2016. Rural electrification and groundwater pumps in India: Evidence from the 1982–1999 period. Resource and Energy Economics, 45, 31-45.

Soderqvist, T., Soutukorva, A., 2006 An instrument for assessing the quality of environmental valuation studies. Stockholm: Swedish Environmental Protection Agency.

Strazzera, E., Genius, M., Scarpa, R., Hutchinson, G., 2003. The effect of protest votes on the estimates of WTP for use values of recreational sites. Environmental and resource economics, 25(4), 461-476.

Sundt, S., Rehdanz, K., 2015. Consumers' willingness to pay for green electricity: A meta-analysis of the literature. Energy Economics, 51, 1-8.

Taale, F., Kyeremeh, C., 2016. Households׳ willingness to pay for reliable electricity services in Ghana. Renewable and Sustainable Energy Reviews, 62, 280-288.

Twerefou, DK., 2014. Willingness to pay for improved electricity supply in Ghana. Modern Economy, 2014.

Venkatachalam, L., 2004. The contingent valuation method: a review. Environmental impact assessment review, 24(1), 89-124.

Wethal, U., 2020. Practices, provision and protest: Power outages in rural Norwegian households. Energy Research & Social Science, 62, 101388.

Yu, X., Abler, D., 2010. Incorporating zero and missing responses into CVM with open-ended bidding: willingness to pay for blue skies in Beijing. Environment and Development Economics, 15(5), 535-556.