IDEAS home Printed from https://ideas.repec.org/p/zbw/vfsc21/242356.html
   My bibliography  Save this paper

Photovoltaics and the Solar Rebound: Evidence for Germany

Author

Listed:
  • Frondel, Manuel
  • Kaestner, Kathrin
  • Sommer, Stephan
  • Vance, Colin

Abstract

Recent research suggests that households would increase their electricity consumption in the aftermath of installing photovoltaics (PV) panels, a behavioral change commonly referred to as the solar rebound. Drawing on panel data originating from the German Residential Energy Consumption Survey (GRECS), we employ panel estimation methods and the dynamic system estimator developed by Blundell and Bond (1998) to investigate the solar rebound effect, thereby accounting for simultaneity and endogeneity issues relating to PV installation and the electricity price. Our empirical results suggest that PV panel adoption of households hardly reduces the amount of electricity taken from the grid. As we derive theoretically, this outcome implies that the rebound reaches a maximum that is bounded by about 30% for German households. Yet, we are skeptical of whether there is such a large solar rebound effect given the strong economic incentives to feed solar electricity into the public grid in the past

Suggested Citation

  • Frondel, Manuel & Kaestner, Kathrin & Sommer, Stephan & Vance, Colin, 2021. "Photovoltaics and the Solar Rebound: Evidence for Germany," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242356, Verein für Socialpolitik / German Economic Association.
  • Handle: RePEc:zbw:vfsc21:242356
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/242356/1/vfs-2021-pid-49024.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Oberst, Christian A. & Schmitz, Hendrik & Madlener, Reinhard, 2019. "Are Prosumer Households That Much Different? Evidence From Stated Residential Energy Consumption in Germany," Ecological Economics, Elsevier, vol. 158(C), pages 101-115.
    2. McKenna, Eoghan & Pless, Jacquelyn & Darby, Sarah J., 2018. "Solar photovoltaic self-consumption in the UK residential sector: New estimates from a smart grid demonstration project," Energy Policy, Elsevier, vol. 118(C), pages 482-491.
    3. Kleibergen, Frank & Paap, Richard, 2006. "Generalized reduced rank tests using the singular value decomposition," Journal of Econometrics, Elsevier, vol. 133(1), pages 97-126, July.
    4. Manuel Frondel and Colin Vance, 2013. "Re-Identifying the Rebound: What About Asymmetry?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    5. Grischa Perino, 2018. "New EU ETS Phase 4 rules temporarily puncture waterbed," Nature Climate Change, Nature, vol. 8(4), pages 262-264, April.
    6. Grischa Perino & Robert A. Ritz & Arthur van Benthem, 2019. "Overlapping Climate Policies," NBER Working Papers 25643, National Bureau of Economic Research, Inc.
    7. Dütschke, Elisabeth & Frondel, Manuel & Schleich, Joachim & Vance, Colin, 2018. "Moral licensing: Another source of rebound?," Ruhr Economic Papers 747, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    8. David Roodman, 2009. "A Note on the Theme of Too Many Instruments," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(1), pages 135-158, February.
    9. Matthew Blackwell & Stefano Iacus & Gary King & Giuseppe Porro, 2009. "cem: Coarsened exact matching in Stata," Stata Journal, StataCorp LP, vol. 9(4), pages 524-546, December.
    10. Frondel, Manuel & Ritter, Nolan & Vance, Colin, 2012. "Heterogeneity in the rebound effect: Further evidence for Germany," Energy Economics, Elsevier, vol. 34(2), pages 461-467.
    11. Qiu, Yueming & Kahn, Matthew E. & Xing, Bo, 2019. "Quantifying the rebound effects of residential solar panel adoption," Journal of Environmental Economics and Management, Elsevier, vol. 96(C), pages 310-341.
    12. Manuel Frondel and Gerhard Kussel, 2019. "Switching on Electricity Demand Response: Evidence for German Households," The Energy Journal, International Association for Energy Economics, vol. 0(Number 5).
    13. David Roodman, 2009. "How to do xtabond2: An introduction to difference and system GMM in Stata," Stata Journal, StataCorp LP, vol. 9(1), pages 86-136, March.
    14. Jacksohn, Anke & Grösche, Peter & Rehdanz, Katrin & Schröder, Carsten, 2019. "Drivers of renewable technology adoption in the household sector," Energy Economics, Elsevier, vol. 81(C), pages 216-226.
    15. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    16. Havas, Lisa & Ballweg, Julie & Penna, Chris & Race, Digby, 2015. "Power to change: Analysis of household participation in a renewable energy and energy efficiency programme in Central Australia," Energy Policy, Elsevier, vol. 87(C), pages 325-333.
    17. Manuel Frondel & Jorg Peters & Colin Vance, 2008. "Identifying the Rebound: Evidence from a German Household Panel," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 145-164.
    18. Hondo, Hiroki & Baba, Kenshi, 2010. "Socio-psychological impacts of the introduction of energy technologies: Change in environmental behavior of households with photovoltaic systems," Applied Energy, Elsevier, vol. 87(1), pages 229-235, January.
    19. Nathan W. Chan & Kenneth Gillingham, 2015. "The Microeconomic Theory of the Rebound Effect and Its Welfare Implications," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 2(1), pages 133-159.
    20. Manuel Frondel & Andreas Gerster & Colin Vance, 2020. "The Power of Mandatory Quality Disclosure: Evidence from the German Housing Market," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 7(1), pages 181-208.
    21. Frondel, Manuel & Kussel, Gerhard & Sommer, Stephan, 2019. "Heterogeneity in the price response of residential electricity demand: A dynamic approach for Germany," Resource and Energy Economics, Elsevier, vol. 57(C), pages 119-134.
    22. Nikodinoska, Dragana & Schröder, Carsten, 2016. "On the emissions–inequality and emissions–welfare trade-offs in energy taxation: Evidence on the German car fuels tax," Resource and Energy Economics, Elsevier, vol. 44(C), pages 206-233.
    23. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    24. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    25. Anderson, T. W. & Hsiao, Cheng, 1982. "Formulation and estimation of dynamic models using panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 47-82, January.
    26. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    27. Deng, Gary & Newton, Peter, 2017. "Assessing the impact of solar PV on domestic electricity consumption: Exploring the prospect of rebound effects," Energy Policy, Elsevier, vol. 110(C), pages 313-324.
    28. Andrews,Donald W. K. & Stock,James H. (ed.), 2005. "Identification and Inference for Econometric Models," Cambridge Books, Cambridge University Press, number 9780521844413.
    29. Iacus, Stefano & King, Gary & Porro, Giuseppe, 2009. "cem: Software for Coarsened Exact Matching," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 30(i09).
    30. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    31. Andor, Mark & Frondel, Manuel & Vance, Colin, 2015. "Installing Photovoltaics in Germany: A license to print money?," Economic Analysis and Policy, Elsevier, vol. 48(C), pages 106-116.
    32. Binswanger, Mathias, 2001. "Technological progress and sustainable development: what about the rebound effect?," Ecological Economics, Elsevier, vol. 36(1), pages 119-132, January.
    33. Tim Nelson & Paul Simshauser & Simon Kelley, 2011. "Australian Residential Solar Feed-in Tariffs: Industry Stimulus or Regressive Form of Taxation?," Economic Analysis and Policy, Elsevier, vol. 41(2), pages 113-129, September.
    34. Matthew E. Oliver & Juan Moreno-Cruz & Ross C. Beppler, 2019. "Microeconomics of the rebound effect for residential solar photovoltaic systems," CESifo Working Paper Series 7635, CESifo.
    35. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    36. Bryan Bollinger & Kenneth Gillingham, 2012. "Peer Effects in the Diffusion of Solar Photovoltaic Panels," Marketing Science, INFORMS, vol. 31(6), pages 900-912, November.
    37. Paul J. Ferraro & Juan José Miranda, 2017. "Panel Data Designs and Estimators as Substitutes for Randomized Controlled Trials in the Evaluation of Public Programs," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 4(1), pages 281-317.
    38. Andrea La Nauze, 2019. "Power from the People: Rooftop Solar and a Downward-Sloping Supply of Electricity," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 6(6), pages 1135-1168.
    39. Sekitou, Mai & Tanaka, Kenta & Managi, Shunsuke, 2018. "Household electricity demand after the introduction of solar photovoltaic systems," Economic Analysis and Policy, Elsevier, vol. 57(C), pages 102-110.
    40. Iacus, Stefano M. & King, Gary & Porro, Giuseppe, 2012. "Causal Inference without Balance Checking: Coarsened Exact Matching," Political Analysis, Cambridge University Press, vol. 20(1), pages 1-24, January.
    41. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    42. Spiller, Elisheba & Sopher, Peter & Martin, Nicholas & Mirzatuny, Marita & Zhang, Xinxing, 2017. "The environmental impacts of green technologies in TX," Energy Economics, Elsevier, vol. 68(C), pages 199-214.
    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. Frondel, Manuel & Kaestner, Kathrin & Sommer, Stephan & Vance, Colin, 2022. "Photovoltaics and the solar rebound: Evidence for Germany," Ruhr Economic Papers 954, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    2. Ross C. Beppler & Daniel C. Matisoff & Matthew E. Oliver, 2023. "Electricity consumption changes following solar adoption: Testing for a solar rebound," Economic Inquiry, Western Economic Association International, vol. 61(1), pages 58-81, January.
    3. Frondel, Manuel & Kussel, Gerhard & Sommer, Stephan, 2019. "Heterogeneity in the price response of residential electricity demand: A dynamic approach for Germany," Resource and Energy Economics, Elsevier, vol. 57(C), pages 119-134.
    4. Trotta, Gianluca & Hansen, Anders Rhiger & Sommer, Stephan, 2022. "The price elasticity of residential district heating demand: New evidence from a dynamic panel approach," Energy Economics, Elsevier, vol. 112(C).
    5. Canarella, Giorgio & Miller, Stephen M., 2018. "The determinants of growth in the U.S. information and communication technology (ICT) industry: A firm-level analysis," Economic Modelling, Elsevier, vol. 70(C), pages 259-271.
    6. Philipp Grunau, 2016. "The impact of overeducated and undereducated workers on establishment-level productivity," International Journal of Manpower, Emerald Group Publishing Limited, vol. 37(2), pages 372-392, May.
    7. Eppinger, Peter S., 2019. "Service offshoring and firm employment," Journal of International Economics, Elsevier, vol. 117(C), pages 209-228.
    8. Arvind K. Tripathi & Young-Jin Lee & Amit Basu, 2022. "Analyzing the Impact of Public Buyer–Seller Engagement During Online Auctions," Information Systems Research, INFORMS, vol. 33(4), pages 1264-1286, December.
    9. Fendel Tanja, 2016. "Migration and Regional Wage Disparities in Germany," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 236(1), pages 3-35, February.
    10. Juergen Bitzer & Erkan Goeren, 2018. "Foreign Aid and Subnational Development: A Grid Cell Analysis," Working Papers V-407-18, University of Oldenburg, Department of Economics, revised Mar 2018.
    11. Sarma, Sisira & Zaric, Gregory S. & Campbell, M. Karen & Gilliland, Jason, 2014. "The effect of physical activity on adult obesity: Evidence from the Canadian NPHS panel," Economics & Human Biology, Elsevier, vol. 14(C), pages 1-21.
    12. Scott, K. Rebecca, 2015. "Demand and price uncertainty: Rational habits in international gasoline demand," Energy, Elsevier, vol. 79(C), pages 40-49.
    13. de Souza, Joao Paulo A., 2015. "Evidence of growth complementarity between agriculture and industry in developing countries," Structural Change and Economic Dynamics, Elsevier, vol. 34(C), pages 1-18.
    14. Joseph L. Dieleman & Michael Hanlon, 2014. "Measuring The Displacement And Replacement Of Government Health Expenditure," Health Economics, John Wiley & Sons, Ltd., vol. 23(2), pages 129-140, February.
    15. Qiu, Yueming & Kahn, Matthew E. & Xing, Bo, 2019. "Quantifying the rebound effects of residential solar panel adoption," Journal of Environmental Economics and Management, Elsevier, vol. 96(C), pages 310-341.
    16. Peñasco, Cristina & del Río, Pablo & Romero-Jordán, Desiderio, 2017. "Gas and electricity demand in Spanish manufacturing industries: An analysis using homogeneous and heterogeneous estimators," Utilities Policy, Elsevier, vol. 45(C), pages 45-60.
    17. Armey, Laura E. & McNab, Robert M., 2018. "Expenditure decentralization and natural resources," The Quarterly Review of Economics and Finance, Elsevier, vol. 70(C), pages 52-61.
    18. Osvaldo Lagares, 2016. "Capital, Economic Growth and Relative Income Differences in Latin America," Discussion Papers 16/03, Department of Economics, University of York.
    19. Scott, K. Rebecca, 2011. "Demand and Price Volatility: Rational Habits in International Gasoline Demand," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt2q87432b, Department of Agricultural & Resource Economics, UC Berkeley.
    20. Jiatao Li & Haoyuan Ding & Yichuan Hu & Guoguang Wan, 2021. "Dealing with dynamic endogeneity in international business research," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 52(3), pages 339-362, April.

    More about this item

    Keywords

    Feed-in tariffs; GMM system estimator; German Residential Energy Consumption Survey (GRECS);
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • H10 - Public Economics - - Structure and Scope of Government - - - General
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:zbw:vfsc21:242356. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/vfsocea.html .

    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.