IDEAS home Printed from https://ideas.repec.org/a/sae/enejou/v38y2017i1_supplp115-136.html
   My bibliography  Save this article

Analyzing the effects of renewable energy and climate conditions on consumer welfare

Author

Listed:
  • Tarek Atalla
  • Simona Bigerna
  • Carlo Andrea Bollino
  • Rolando Fuentes

Abstract

ABSTRACT This paper aims to measure the impact of the gradual adoption of Renewable Energy Sources (RES) on the welfare of consumers. To this end, we construct a theoretically founded measure of the true cost of living (TCL) and the equivalence scale (ES) for the household sector, based on a weather database of heating and cooling degree days. We estimate those values for 64 countries, which represent over two-thirds of the world population, according to World Bank statistics. We assume that the identified household in each country minimizes its expenditure on energy and other goods. We simulate alternate scenarios of renewables implementation in 2035, taking account of different RES prices, and assess the related societal implications of a gradual transition from fossil fuels to RES. The empirical results offer policymakers a basis for designing appropriate scenarios for the deployment of renewables, with the aim of fostering consumer welfare even in the context of international negotiations.

Suggested Citation

  • Tarek Atalla & Simona Bigerna & Carlo Andrea Bollino & Rolando Fuentes, 2017. "Analyzing the effects of renewable energy and climate conditions on consumer welfare," The Energy Journal, , vol. 38(1_suppl), pages 115-136, June.
  • Handle: RePEc:sae:enejou:v:38:y:2017:i:1_suppl:p:115-136
    DOI: 10.5547/01956574.38.SI1.tata
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.5547/01956574.38.SI1.tata
    Download Restriction: no

    File URL: https://libkey.io/10.5547/01956574.38.SI1.tata?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Bašta, Milan & Helman, Karel, 2013. "Scale-specific importance of weather variables for explanation of variations of electricity consumption: The case of Prague, Czech Republic," Energy Economics, Elsevier, vol. 40(C), pages 503-514.
    2. Helena Meier, Tooraj Jamasb, and Luis Orea, 2013. "Necessity or Luxury Good? Household Energy Spending and Income in Britain 1991-2007," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    3. Pollak, Robert A & Wales, Terence J, 1981. "Demographic Variables in Demand Analysis," Econometrica, Econometric Society, vol. 49(6), pages 1533-1551, November.
    4. Auffhammer, Maximilian & Mansur, Erin T., 2014. "Measuring climatic impacts on energy consumption: A review of the empirical literature," Energy Economics, Elsevier, vol. 46(C), pages 522-530.
    5. Arthur Lewbel & Krishna Pendakur, 2009. "Tricks with Hicks: The EASI Demand System," American Economic Review, American Economic Association, vol. 99(3), pages 827-863, June.
    6. Deaton, Angus S & Muellbauer, John, 1986. "On Measuring Child Costs: With Applications to Poor Countries," Journal of Political Economy, University of Chicago Press, vol. 94(4), pages 720-744, August.
    7. Flaig, Gebhard, 1990. "Household production and the short- and long-run demand for electricity," Energy Economics, Elsevier, vol. 12(2), pages 116-121, April.
    8. Bollino, Carlo Andrea, 1987. "Gaids: a generalised version of the almost ideal demand system," Economics Letters, Elsevier, vol. 23(2), pages 199-202.
    9. Steinbuks, Jevgenijs & Neuhoff, Karsten, 2014. "Assessing energy price induced improvements in efficiency of capital in OECD manufacturing industries," Journal of Environmental Economics and Management, Elsevier, vol. 68(2), pages 340-356.
    10. Beaver, Ronald D. & Huntington, Hillard G., 1992. "A comparison of aggregate energy demand models for global warming policy analyses," Energy Policy, Elsevier, vol. 20(6), pages 568-574, June.
    11. James Banks & Richard Blundell & Arthur Lewbel, 1997. "Quadratic Engel Curves And Consumer Demand," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 527-539, November.
    12. Triplett, Jack E, 2001. "Should the Cost-of-Living Index Provide the Conceptual Framework for a Consumer Price Index?," Economic Journal, Royal Economic Society, vol. 111(472), pages 311-334, June.
    13. C. Andrea Bollino & Federico Perali & Nicola Rossi, 2000. "Linear household technologies," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(3), pages 275-287.
    14. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    15. Atalla, Tarek N. & Hunt, Lester C., 2016. "Modelling residential electricity demand in the GCC countries," Energy Economics, Elsevier, vol. 59(C), pages 149-158.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tarek Atalla, Simona Bigerna, Carlo Andrea Bollino, and Rolando Fuentes, 2017. "Analyzing the Effects of Renewable Energy and Climate Conditions on Consumer Welfare," The Energy Journal, International Association for Energy Economics, vol. 0(KAPSARC S).
    2. Tarek Atalla & Simona Bigerna & Carlo Andrea Bollino, 2018. "Energy demand elasticities and weather worldwide," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 35(1), pages 207-237, April.
    3. Schulte, Isabella & Heindl, Peter, 2017. "Price and income elasticities of residential energy demand in Germany," Energy Policy, Elsevier, vol. 102(C), pages 512-528.
    4. Hovhannisyan, Vardges & Shanoyan, Aleksan, 2017. "Quantifying the Structure of Food Demand in Russia Using Provincial-Level Panel Data on Food Consumption," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 259124, Agricultural and Applied Economics Association.
    5. Hovhannisyan, Vardges & Shanoyan, Aleksan, 2018. "An Empirical Analysis of Pre-Determined Food Demand in Russia," 2018 Annual Meeting, February 2-6, 2018, Jacksonville, Florida 266579, Southern Agricultural Economics Association.
    6. Korir, Lilian & Rizov, Marian & Ruto, Eric, 2020. "Food security in Kenya: Insights from a household food demand model," Economic Modelling, Elsevier, vol. 92(C), pages 99-108.
    7. Hovhannisyan, Vardges & Shanoyan, Aleksan, 2018. "An Empirical Analysis Of Welfare Consequences Of Rising Food Prices In Urban China: The Easi Approach," 2018 Annual Meeting, August 5-7, Washington, D.C. 273987, Agricultural and Applied Economics Association.
    8. Arthur Lewbel & Samuel Norris & Krishna Pendakur & Xi Qu, 2022. "Consumption peer effects and utility needs in India," Quantitative Economics, Econometric Society, vol. 13(3), pages 1257-1295, July.
    9. Vardges Hovhannisyan & Hayk Khachatryan, 2017. "Ornamental Plants in the United States: An Econometric Analysis of a Household‐Level Demand System," Agribusiness, John Wiley & Sons, Ltd., vol. 33(2), pages 226-241, April.
    10. Vardges Hovhannisyan & Sachintha Mendis & Chris Bastian, 2019. "An econometric analysis of demand for food quantity and quality in urban China," Agricultural Economics, International Association of Agricultural Economists, vol. 50(1), pages 3-13, January.
    11. Ghazaryan, Armen & Bonanno, Alessandro & Carlson, Andrea, 2023. "I Say Milk, You Say Mylk. Demand Separability in a Broadened Milk Category," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 48(2), May.
    12. Lucia Mangiavacchi & Luca Piccoli, 2009. "Child welfare and intra-household inequality in Albania," Working Papers 149, ECINEQ, Society for the Study of Economic Inequality.
    13. Vardges Hovhannisyan & Brian W. Gould, 2014. "Structural change in urban Chinese food preferences," Agricultural Economics, International Association of Agricultural Economists, vol. 45(2), pages 159-166, March.
    14. van der Ploeg, Frederick & Rezai, Armon & Tovar Reanos, Miguel, 2022. "Gathering support for green tax reform: Evidence from German household surveys," European Economic Review, Elsevier, vol. 141(C).
    15. Garcia-Diaz Rocio, 2012. "Demand-Based Cost-of-Children Estimates and Child Poverty," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 12(1), pages 1-32, January.
    16. Simona Bigerna & Carlo Andrea Bollino & Maria Chiara D’Errico, 2020. "A general expenditure system for estimation of consumer demand functions," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 37(3), pages 1071-1088, October.
    17. Hovhannisyan, Vardges & Gould, Brian W., 2010. "Quantifying the Structure of Food Demand in China Using a Generalized Quadratic AIDS Specification," 2010 Annual Meeting, February 6-9, 2010, Orlando, Florida 56422, Southern Agricultural Economics Association.
    18. Liu, Kang Ernest & Chern, Wen S., 2003. "Food Demand In Urban China: An Application Of A Multi-Stage Censored Demand System," 2003 Annual meeting, July 27-30, Montreal, Canada 21919, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    19. Hovhannisyan, Vardges & Urutyan, Vardan, 2017. "A Structural Model of Pre-committed Demand: The Case of Food Demand in China," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258200, Agricultural and Applied Economics Association.
    20. Prize Committee, Nobel, 2015. "Consumption, Poverty, and Welfare," Nobel Prize in Economics documents 2015-2, Nobel Prize Committee.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:enejou:v:38:y:2017:i:1_suppl:p:115-136. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.