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From Green Users to Green Voters

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  • Comin, Diego
  • Rode, Johannes

Abstract

We estimate the effect of the diffusion of photovoltaic (PV) systems on the fraction of votes obtained by the German Green Party. The logistic diffusion of PV systems offers a new identification strategy. We take first differences and instrument adoption rates (i.e. the first difference in the diffusion level) by lagged diffusion levels. The existing rationales for non-linearities in diffusion, and ubiquity of logistic curves ensure that our instrument is orthogonal to variables that directly affect voting patterns. We find that the diffusion of domestic PV systems caused 25 percent of the increment in green votes between 1998 and 2009.

Suggested Citation

  • Comin, Diego & Rode, Johannes, 2013. "From Green Users to Green Voters," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 63678, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
  • Handle: RePEc:dar:wpaper:63678
    Note: for complete metadata visit http://tubiblio.ulb.tu-darmstadt.de/63678/
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    1. Yu, Jihai & de Jong, Robert & Lee, Lung-fei, 2008. "Quasi-maximum likelihood estimators for spatial dynamic panel data with fixed effects when both n and T are large," Journal of Econometrics, Elsevier, vol. 146(1), pages 118-134, September.
    2. Lori D. Snyder & Nolan H. Miller & Robert N. Stavins, 2003. "The Effects of Environmental Regulation on Technology Diffusion: The Case of Chlorine Manufacturing," American Economic Review, American Economic Association, vol. 93(2), pages 431-435, May.
    3. Stephen Ansolabehere & John M. de Figueiredo & James M. Snyder Jr, 2003. "Why is There so Little Money in U.S. Politics?," Journal of Economic Perspectives, American Economic Association, vol. 17(1), pages 105-130, Winter.
    4. Arthur, W Brian, 1989. "Competing Technologies, Increasing Returns, and Lock-In by Historical Events," Economic Journal, Royal Economic Society, vol. 99(394), pages 116-131, March.
    5. Tjernström, E. & Tietenberg, T., 2008. "Do differences in attitudes explain differences in national climate change policies?," Ecological Economics, Elsevier, vol. 65(2), pages 315-324, April.
    6. Jacobsson, Staffan & Lauber, Volkmar, 2006. "The politics and policy of energy system transformation--explaining the German diffusion of renewable energy technology," Energy Policy, Elsevier, vol. 34(3), pages 256-276, February.
    7. Kahn, Matthew E., 2007. "Do greens drive Hummers or hybrids? Environmental ideology as a determinant of consumer choice," Journal of Environmental Economics and Management, Elsevier, vol. 54(2), pages 129-145, September.
    8. Diego Comin & William Easterly & Erick Gong, 2010. "Was the Wealth of Nations Determined in 1000 BC?," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(3), pages 65-97, July.
    9. Welsch, Heinz & Kühling, Jan, 2009. "Determinants of pro-environmental consumption: The role of reference groups and routine behavior," Ecological Economics, Elsevier, vol. 69(1), pages 166-176, November.
    10. Torgler, Benno & Garcia-Valinas, Maria A., 2007. "The determinants of individuals' attitudes towards preventing environmental damage," Ecological Economics, Elsevier, vol. 63(2-3), pages 536-552, August.
    11. Schumacher, Ingmar, 2014. "An Empirical Study of the Determinants of Green Party Voting," Ecological Economics, Elsevier, vol. 105(C), pages 306-318.
    12. Soss, Joe & Schram, Sanford F., 2007. "A Public Transformed? Welfare Reform as Policy Feedback," American Political Science Review, Cambridge University Press, vol. 101(1), pages 111-127, February.
    13. Oliver Falck & Robert Gold & Stephan Heblich, 2014. "E-lections: Voting Behavior and the Internet," American Economic Review, American Economic Association, vol. 104(7), pages 2238-2265, July.
    14. Sven Müller & Johannes Rode, 2013. "The adoption of photovoltaic systems in Wiesbaden, Germany," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 22(5), pages 519-535, July.
    15. Comin, D. & Hobijn, B., 2004. "Cross-country technology adoption: making the theories face the facts," Journal of Monetary Economics, Elsevier, vol. 51(1), pages 39-83, January.
    16. Geroski, P. A., 2000. "Models of technology diffusion," Research Policy, Elsevier, vol. 29(4-5), pages 603-625, April.
    17. Diego Comin & Martí Mestieri, 2018. "If Technology Has Arrived Everywhere, Why Has Income Diverged?," American Economic Journal: Macroeconomics, American Economic Association, vol. 10(3), pages 137-178, July.
    18. Deacon, Robert T & Shapiro, Perry, 1975. "Private Preference for Collective Goods Revealed Through Voting on Referenda," American Economic Review, American Economic Association, vol. 65(5), pages 943-955, December.
    19. Ebonya Washington & Sendhil Mullainathan, 2009. "Sticking with Your Vote: Cognitive Dissonance and Political Attitudes," American Economic Journal: Applied Economics, American Economic Association, vol. 1(1), pages 86-111, January.
    20. Jonathan Skinner & Douglas Staiger, 2007. "Technology Adoption from Hybrid Corn to Beta-Blockers," NBER Chapters, in: Hard-to-Measure Goods and Services: Essays in Honor of Zvi Griliches, pages 545-570, National Bureau of Economic Research, Inc.
    21. Rode, Johannes & Weber, Alexander, 2016. "Does localized imitation drive technology adoption? A case study on rooftop photovoltaic systems in Germany," Journal of Environmental Economics and Management, Elsevier, vol. 78(C), pages 38-48.
    22. Rode, Johannes, 2014. "Renewable Energy Adoption in Germany - Drivers, Barriers and Implications," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 65829, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    23. Akerlof, George A & Dickens, William T, 1982. "The Economic Consequences of Cognitive Dissonance," American Economic Review, American Economic Association, vol. 72(3), pages 307-319, June.
    24. Diego Comin & Bart Hobijn & Emilie Rovito, 2006. "Five Facts You Need to Know About Technology Diffusion," NBER Working Papers 11928, National Bureau of Economic Research, Inc.
    25. Jeremiah E. Dittmar, 2011. "Information Technology and Economic Change: The Impact of The Printing Press," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(3), pages 1133-1172.
    26. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    27. Agnolucci, Paolo, 2006. "Use of economic instruments in the German renewable electricity policy," Energy Policy, Elsevier, vol. 34(18), pages 3538-3548, December.
    28. Abhijit V. Banerjee, 1992. "A Simple Model of Herd Behavior," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(3), pages 797-817.
    29. Bryan Bollinger & Kenneth Gillingham, 2012. "Peer Effects in the Diffusion of Solar Photovoltaic Panels," Marketing Science, INFORMS, vol. 31(6), pages 900-912, November.
    30. Staffan Jacobsson & Anna Bergek, 2004. "Transforming the energy sector: the evolution of technological systems in renewable energy technology," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 13(5), pages 815-849, October.
    31. Chari, V V & Hopenhayn, Hugo, 1991. "Vintage Human Capital, Growth, and the Diffusion of New Technology," Journal of Political Economy, University of Chicago Press, vol. 99(6), pages 1142-1165, December.
    32. Fischel, William A., 1979. "Determinants of voting on environmental quality: A study of a New Hampshire pulp mill referendum," Journal of Environmental Economics and Management, Elsevier, vol. 6(2), pages 107-118, June.
    33. Ulrich Dewald & Bernhard Truffer, 2011. "Market Formation in Technological Innovation Systems—Diffusion of Photovoltaic Applications in Germany," Industry and Innovation, Taylor & Francis Journals, vol. 18(3), pages 285-300.
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    Cited by:

    1. Francesco Vona, 2019. "Job losses and political acceptability of climate policies: why the ‘job-killing’ argument is so persistent and how to overturn it," Climate Policy, Taylor & Francis Journals, vol. 19(4), pages 524-532, April.
    2. Lorenzo Cerda Planas, 2018. "Moving Toward Greener Societies: Moral Motivation and Green Behaviour," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 70(4), pages 835-860, August.
    3. Jing Liang & Pengfei Liu & Yueming Qiu & Yi David Wang & Bo Xing, 2020. "Time-of-Use Electricity Pricing and Residential Low-carbon Energy Technology Adoption," The Energy Journal, , vol. 41(3), pages 1-38, May.
    4. Buchheim, Lukas & Watzinger, Martin & Wilhelm, Matthias, 2020. "Job creation in tight and slack labor markets," Journal of Monetary Economics, Elsevier, vol. 114(C), pages 126-143.
    5. Stefan Lamp, 2023. "Sunspots That Matter: The Effect of Weather on Solar Technology Adoption," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 84(4), pages 1179-1219, April.
    6. repec:hal:spmain:info:hdl:2441/7upb3pbvdn8fbq3fscr7otbg9t is not listed on IDEAS
    7. Schumacher, Ingmar, 2014. "An Empirical Study of the Determinants of Green Party Voting," Ecological Economics, Elsevier, vol. 105(C), pages 306-318.
    8. Rode, Johannes & Müller, Sven, 2016. "Spatio-Temporal Variation in Peer Effects - The Case of Rooftop Photovoltaic Systems in Germany," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 84765, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    9. Francesco Vona, 2018. "Job losses and the political acceptability of climate policies : an amplified collective action problem," Post-Print hal-03458275, HAL.
    10. Germeshausen, Robert & Heim, Sven & Wagner, Ulrich J., 2021. "Support for renewable energy: The case of wind power," ZEW Discussion Papers 21-074, ZEW - Leibniz Centre for European Economic Research.
    11. De Groote, Olivier & Gautier, Axel & Verboven, Frank, 2024. "The political economy of financing climate policy — Evidence from the solar PV subsidy programs," Resource and Energy Economics, Elsevier, vol. 77(C).
    12. repec:spo:wpmain:info:hdl:2441/6d7es28iae9pjoil7092hs41h3 is not listed on IDEAS
    13. Lorenzo Cerda Planas, 2014. "Moving to Greener Societies: Moral Motivation and Green Behaviour," Documents de travail du Centre d'Economie de la Sorbonne 14035, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    14. Andrea La Nauze, 2023. "Motivation Crowding in Peer Effects: The Effect of Solar Subsidies on Green Power Purchases," The Review of Economics and Statistics, MIT Press, vol. 105(6), pages 1465-1480, November.
    15. repec:spo:wpmain:info:hdl:2441/7upb3pbvdn8fbq3fscr7otbg9t is not listed on IDEAS
    16. Rode, Johannes & Müller, Sven, 2020. "I Spot, I Adopt! Peer Effects and Visibility in Solar Photovoltaic System Adoption of Households," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 119280, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    17. Lorenzo Cerda Planas, 2014. "Moving to Greener Societies: Moral Motivation and Green Behaviour," Post-Print halshs-01018651, HAL.
    18. Wilhelm, Matthias & Buchheim, Lukas & Watzinger, Martin, 2016. "Investment in Photovoltaics and Job Creation: Evidence from a Billion Dollar Program," VfS Annual Conference 2016 (Augsburg): Demographic Change 145551, Verein für Socialpolitik / German Economic Association.
    19. Lorenzo Cerda Planas, 2014. "Moving to Greener Societies: Moral Motivation and Green Behaviour," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01018651, HAL.
    20. Graham Beattie & Yi Han & Andrea La Nauze, 2019. "Conservation Spillovers: The Effect of Rooftop Solar on Climate Change Beliefs," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(3), pages 1425-1451, November.
    21. repec:hal:spmain:info:hdl:2441/6d7es28iae9pjoil7092hs41h3 is not listed on IDEAS
    22. Francesco Vona, 2018. "Job losses and the political acceptability of climate policies : an amplified collective action problem," SciencePo Working papers Main hal-03458275, HAL.

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    More about this item

    JEL classification:

    • E13 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Neoclassical
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models

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