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Heterogeneity in the adoption of photovoltaic systems in Flanders

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  • De Groote, Olivier
  • Pepermans, Guido
  • Verboven, Frank

Abstract

We study the determinants of PV adoption in the region of Flanders (Belgium), where PV adoption reached high levels during 2006–2012, because of active government intervention. Based on a unique dataset at a very detailed spatial level, we estimate a Poisson model to explain the heterogeneity in adoption rates. We obtain the following findings. First, local policies have a robust and significant impact on PV adoption. Second, there is a strong unconditional income effect, implying a Matthew effect in the subsidization of PVs. Our third finding is however that this income effect is largely driven by the fact that wealthier households are more likely to adopt because they tend to be higher users, are more frequent house owners, or own houses that are better suited for PV. In several extensions, we consider the determinants of the average size of installed PVs, and the differential impact of certain variables over time.

Suggested Citation

  • De Groote, Olivier & Pepermans, Guido & Verboven, Frank, 2016. "Heterogeneity in the adoption of photovoltaic systems in Flanders," Energy Economics, Elsevier, vol. 59(C), pages 45-57.
  • Handle: RePEc:eee:eneeco:v:59:y:2016:i:c:p:45-57
    DOI: 10.1016/j.eneco.2016.07.008
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    as
    1. Jager, Wander, 2006. "Stimulating the diffusion of photovoltaic systems: A behavioural perspective," Energy Policy, Elsevier, vol. 34(14), pages 1935-1943, September.
    2. Cameron,A. Colin & Trivedi,Pravin K., 2013. "Regression Analysis of Count Data," Cambridge Books, Cambridge University Press, number 9781107667273, September.
    3. Kontogianni, Areti & Tourkolias, Christos & Skourtos, Michalis, 2013. "Renewables portfolio, individual preferences and social values towards RES technologies," Energy Policy, Elsevier, vol. 55(C), pages 467-476.
    4. Crago, Christine & Chernyakhovskiy, Ilya, 2014. "Solar PV Technology Adoption in the United States: An Empirical Investigation of State Policy Effectiveness," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169939, Agricultural and Applied Economics Association.
    5. Santos Silva, J.M.C. & Tenreyro, Silvana, 2011. "Further simulation evidence on the performance of the Poisson pseudo-maximum likelihood estimator," Economics Letters, Elsevier, vol. 112(2), pages 220-222, August.
    6. Laura-Lucia Richter, 2013. "Social Effects in the Diffusion of Solar Photovoltaic Technology in the UK," Working Papers EPRG 1332, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    7. Sutherland, Ronald J, 1996. "The economics of energy conservation policy," Energy Policy, Elsevier, vol. 24(4), pages 361-370, April.
    8. Mills, Bradford F. & Schleich, Joachim, 2010. "Why don't households see the light?: Explaining the diffusion of compact fluorescent lamps," Resource and Energy Economics, Elsevier, vol. 32(3), pages 363-378, August.
    9. Newey, Whitney K., 1984. "A method of moments interpretation of sequential estimators," Economics Letters, Elsevier, vol. 14(2-3), pages 201-206.
    10. Johannes Rode & Alexander Weber, 2011. "Knowledge Does Not Fall Far from the Tree - A Case Study on the Diffusion of Solar Cells in Germany," ERSA conference papers ersa11p497, European Regional Science Association.
    11. Venkatesh, Viswanath & Morris, Michael G. & Ackerman, Phillip L., 2000. "A Longitudinal Field Investigation of Gender Differences in Individual Technology Adoption Decision-Making Processes," Organizational Behavior and Human Decision Processes, Elsevier, vol. 83(1), pages 33-60, September.
    12. Severin Borenstein & James Bushnell, 2015. "The US Electricity Industry After 20 Years of Restructuring," Annual Review of Economics, Annual Reviews, vol. 7(1), pages 437-463, August.
    13. Glenn W. Harrison & Morten I. Lau & Melonie B. Williams, 2002. "Estimating Individual Discount Rates in Denmark: A Field Experiment," American Economic Review, American Economic Association, vol. 92(5), pages 1606-1617, December.
    14. Walsh, Michael J., 1989. "Energy tax credits and housing improvement," Energy Economics, Elsevier, vol. 11(4), pages 275-284, October.
    15. Drury, Easan & Miller, Mackay & Macal, Charles M. & Graziano, Diane J. & Heimiller, Donna & Ozik, Jonathan & Perry IV, Thomas D., 2012. "The transformation of southern California's residential photovoltaics market through third-party ownership," Energy Policy, Elsevier, vol. 42(C), pages 681-690.
    16. J. M. C. Santos Silva & Silvana Tenreyro, 2006. "The Log of Gravity," The Review of Economics and Statistics, MIT Press, vol. 88(4), pages 641-658, November.
    17. Benno Torgler & María A.García-Valiñas & Alison Macintyre, 2007. "Differences in Preferences Towards the Environment: The Impact of a Gender, Age and Parental Effect," CREMA Working Paper Series 2008-01, Center for Research in Economics, Management and the Arts (CREMA).
    18. Vasseur, Véronique & Kemp, René, 2015. "The adoption of PV in the Netherlands: A statistical analysis of adoption factors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 483-494.
    19. Faiers, Adam & Neame, Charles, 2006. "Consumer attitudes towards domestic solar power systems," Energy Policy, Elsevier, vol. 34(14), pages 1797-1806, September.
    20. Darghouth, Naïm R. & Barbose, Galen & Wiser, Ryan, 2011. "The impact of rate design and net metering on the bill savings from distributed PV for residential customers in California," Energy Policy, Elsevier, vol. 39(9), pages 5243-5253, September.
    21. Laura-Lucia Richter, 2013. "Social Effects in the Diffusion of solar Photovoltaic Technology in the UK," Cambridge Working Papers in Economics 1357, Faculty of Economics, University of Cambridge.
    22. Kwan, Calvin Lee, 2012. "Influence of local environmental, social, economic and political variables on the spatial distribution of residential solar PV arrays across the United States," Energy Policy, Elsevier, vol. 47(C), pages 332-344.
    23. Bryan Bollinger & Kenneth Gillingham, 2012. "Peer Effects in the Diffusion of Solar Photovoltaic Panels," Marketing Science, INFORMS, vol. 31(6), pages 900-912, November.
    24. Kevin E. Staub & Rainer Winkelmann, 2013. "Consistent Estimation Of Zero‐Inflated Count Models," Health Economics, John Wiley & Sons, Ltd., vol. 22(6), pages 673-686, June.
    25. Read, Daniel & Read, N. L., 2004. "Time discounting over the lifespan," Organizational Behavior and Human Decision Processes, Elsevier, vol. 94(1), pages 22-32, May.
    26. Adam B. Jaffe & Robert N. Stavins, 1994. "Energy-Efficiency Investments and Public Policy," The Energy Journal, , vol. 15(2), pages 43-65, April.
    27. Mills, Bradford F. & Schleich, Joachim, 2009. "Profits or preferences? Assessing the adoption of residential solar thermal technologies," Energy Policy, Elsevier, vol. 37(10), pages 4145-4154, October.
    28. Willis, Ken & Scarpa, Riccardo & Gilroy, Rose & Hamza, Neveen, 2011. "Renewable energy adoption in an ageing population: Heterogeneity in preferences for micro-generation technology adoption," Energy Policy, Elsevier, vol. 39(10), pages 6021-6029, October.
    29. Kahn Matthew E & Vaughn Ryan K., 2009. "Green Market Geography: The Spatial Clustering of Hybrid Vehicles and LEED Registered Buildings," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 9(2), pages 1-24, March.
    30. Cai, Desmond W.H. & Adlakha, Sachin & Low, Steven H. & De Martini, Paul & Mani Chandy, K., 2013. "Impact of residential PV adoption on Retail Electricity Rates," Energy Policy, Elsevier, vol. 62(C), pages 830-843.
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    More about this item

    Keywords

    Adoption of photovoltaic systems; Renewable energy sources; Poisson regression;
    All these keywords.

    JEL classification:

    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation

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