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Distributional impact analysis of the energy price reform in Turkey

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  • Zhang, Fan

Abstract

A pricing reform in Turkey increased the residential electricity tariff by more than 50 percent in 2008. The reform, aimed at encouraging energy efficiency and private investment, sparked considerable policy debate about its potential impact on household welfare. This paper estimates a short-run residential electricity demand function for evaluating the distributional consequences of the tariff reform. The model allows heterogeneity in household price sensitivities and is estimated using a national sample of 18,671 Turkish households. The model also addresses the common problem of missing data in survey research. The study reveals a highly skewed distribution of price elasticities in the population, with rich households three times more responsive in adjusting consumption to price changes than the poor. This is most likely because the poor are close to their minimum electricity consumption levels and have fewer coping options. In addition, the welfare loss of the poorest quintile -- measured by the consumer surplus change as a percentage of income -- is 2.9 times of that of the wealthiest.

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  • Zhang, Fan, 2011. "Distributional impact analysis of the energy price reform in Turkey," Policy Research Working Paper Series 5831, The World Bank.
    • Handle: RePEc:wbk:wbrwps:5831
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    1. Jean-Thomas Bernard & Denis Bolduc & Donald Belanger, 1996. "Quebec Residential Electricity Demand: A Microeconometric Approach," Canadian Journal of Economics, Canadian Economics Association, vol. 29(1), pages 92-113, February.
    2. Takashi Yamagata & Chris Orme, 2005. "On Testing Sample Selection Bias Under the Multicollinearity Problem," Econometric Reviews, Taylor & Francis Journals, vol. 24(4), pages 467-481.
    3. Lutz Kilian, 2008. "The Economic Effects of Energy Price Shocks," Journal of Economic Literature, American Economic Association, vol. 46(4), pages 871-909, December.
    4. Bauwens, Luc & Fiebig, Denzil G & Steel, Mark F J, 1994. "Estimating End-Use Demand: A Bayesian Approach," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(2), pages 221-231, April.
    5. Vartia, Yrjo O, 1983. "Efficient Methods of Measuring Welfare Change and Compensated Income in Terms of Ordinary Demand Functions," Econometrica, Econometric Society, vol. 51(1), pages 79-98, January.
    6. Michael Parti & Cynthia Parti, 1980. "The Total and Appliance-Specific Conditional Demand for Electricity in the Household Sector," Bell Journal of Economics, The RAND Corporation, vol. 11(1), pages 309-321, Spring.
    7. Petersen, H. Craig, 1982. "Electricity Consumption In Rural Vs. Urban Areas," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 7(1), pages 1-6, July.
    8. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    9. World Bank, 2009. "Adapting to Climate Change in Europe and Central Asia," World Bank Publications - Reports 3052, The World Bank Group.
    10. Reiss, Peter C. & White, Matthew W., 2003. "Demand and Pricing in Electricity Markets: Evidence from San Diego During California's Energy Crisis," Research Papers 1829, Stanford University, Graduate School of Business.
    11. Peter C. Reiss & Matthew W. White, 2003. "Demand and Pricing in Electricity Markets: Evidence from San Diego During California's Energy Crisis," NBER Working Papers 9986, National Bureau of Economic Research, Inc.
    12. Swan, Lukas G. & Ugursal, V. Ismet, 2009. "Modeling of end-use energy consumption in the residential sector: A review of modeling techniques," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 1819-1835, October.
    13. Raymond S. Hartman & Alix Werth, 1981. "Short-Run Residential Demand for Fuels: A Disaggregated Approach," Land Economics, University of Wisconsin Press, vol. 57(2), pages 197-212.
    14. Nesbakken, Runa, 1999. "Price sensitivity of residential energy consumption in Norway," Energy Economics, Elsevier, vol. 21(6), pages 493-515, December.
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    Cited by:

    1. Ms. Pritha Mitra & Mr. Ruben V Atoyan, 2012. "Ukraine Gas Pricing Policy: Distributional Consequences of Tariff Increases," IMF Working Papers 2012/247, International Monetary Fund.
    2. Giuliano, Fernando & Lugo, Maria Ana & Masut, Ariel & Puig, Jorge, 2020. "Distributional effects of reducing energy subsidies: Evidence from recent policy reform in Argentina," Energy Economics, Elsevier, vol. 92(C).
    3. Moshiri, Saeed, 2015. "The effects of the energy price reform on households consumption in Iran," Energy Policy, Elsevier, vol. 79(C), pages 177-188.
    4. Jun Rentschler & Morgan Bazilian, 2017. "Policy Monitor—Principles for Designing Effective Fossil Fuel Subsidy Reforms," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 11(1), pages 138-155.
    5. Jiang, Zhujun & Ouyang, Xiaoling & Huang, Guangxiao, 2015. "The distributional impacts of removing energy subsidies in China," China Economic Review, Elsevier, vol. 33(C), pages 111-122.
    6. World Bank, 2012. "Europe and Central Asia Balancing Act : Cutting Subsidies, Protecting Affordability, and Investing in the Energy Sector in Eastern Europe and Central Asia Region," World Bank Publications - Reports 11910, The World Bank Group.
    7. Krauss, Alexander, 2016. "How natural gas tariff increases can influence poverty: Results, measurement constraints and bias," Energy Economics, Elsevier, vol. 60(C), pages 244-254.
    8. Jun E Rentschler & Nobuhiro Hosoe, 2017. "Illicit dealings: Fossil fuel subsidy reforms and the role of tax evasion and smuggling," GRIPS Discussion Papers 17-05, National Graduate Institute for Policy Studies.
    9. Ilyas, Rubina & Hussain, Khadim & Ullah, Mehreen Zaid & Xue, Jianhong, 2022. "Distributional impact of phasing out residential electricity subsidies on household welfare," Energy Policy, Elsevier, vol. 163(C).
    10. Bah, Muhammad Maladoh & Saari, M. Yusof, 2020. "Quantifying the impacts of energy price reform on living expenses in Saudi Arabia," Energy Policy, Elsevier, vol. 139(C).
    11. Lin, Boqiang & Kuang, Yunming, 2020. "Household heterogeneity impact of removing energy subsidies in China: Direct and indirect effect," Energy Policy, Elsevier, vol. 147(C).
    12. Gassmann, Franziska, 2014. "Switching the lights off: The impact of energy tariff increases on households in the Kyrgyz Republic," Journal of Comparative Economics, Elsevier, vol. 42(3), pages 755-769.

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    Keywords

    Energy Production and Transportation; Climate Change Economics; Markets and Market Access; Economic Theory&Research; Environment and Energy Efficiency;
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