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Where Does Energy R&D Come From? Examining Crowding Out from Environmentally-Friendly R&D

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Author Info
David Popp
Richard G. Newell
Abstract

Recent efforts to endogenize technological change in climate policy models demonstrate the importance of accounting for the opportunity cost of climate R&D investments. Because the social returns to R&D investments are typically higher than the social returns to other types of investment, any new climate mitigation R&D that comes at the expense of other R&D investment may dampen the overall gains from induced technological change. Unfortunately, there has been little empirical work to guide modelers as to the potential magnitude of such crowding out effects. This paper considers both the private and social opportunity costs of climate R&D. Addressing private costs, we ask whether an increase in climate R&D represents new R&D spending, or whether some (or all) of the additional climate R&D comes at the expense of other R&D. Addressing social costs, we use patent citations to compare the social value of alternative energy research to other types of R&D that may be crowded out. Beginning at the industry level, we find some evidence of crowding out in sectors active in energy R&D, but not in sectors that do not perform energy R&D. This suggests that funds for energy R&D do not come from other sectors, but may come from a redistribution of research funds in sectors that are likely to perform energy R&D. Given this, we proceed with a detailed look at climate R&D in two sectors – alternative energy and automotive manufacturing. Linking patent data and financial data by firm, we ask whether an increase in alternative energy patents leads to a decrease in other types of patenting activity. We find crowding out for alternative energy firms, but no evidence of crowding out for automotive firms. Finally, we use patent citation data to compare the social value of alternative energy patents to other patents by these firms. Alternative energy patents are cited more frequently, and by a wider range of other technologies, than other patents by these firms, suggesting that their social value is higher.

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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 15423.

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Date of creation: Oct 2009
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Handle: RePEc:nbr:nberwo:15423

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Find related papers by JEL classification:
O33 - Economic Development, Technological Change, and Growth - - Technological Change - - - Technological Change: Choices and Consequences; Diffusion Processes
Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
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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  3. Griliches, Zvi, 1990. "Patent Statistics as Economic Indicators: A Survey," Journal of Economic Literature, American Economic Association, vol. 28(4), pages 1661-1707, December. [Downloadable!] (restricted)
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  4. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
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  5. repec:fth:harver:1473 is not listed on IDEAS
  6. Gerlagh, Reyer, 2008. "A climate-change policy induced shift from innovations in carbon-energy production to carbon-energy savings," Energy Economics, Elsevier, vol. 30(2), pages 425-448, March. [Downloadable!] (restricted)
  7. Thomas Roediger-Schluga, 2003. "Some Micro-Evidence on the "Porter Hypothesis" from Austrian VOC Emission Standards," Growth and Change, Gatton College of Business and Economics, University of Kentucky, vol. 34(3), pages 359-379. [Downloadable!] (restricted)
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  8. Popp, David, 2005. "Lessons from patents: Using patents to measure technological change in environmental models," Ecological Economics, Elsevier, vol. 54(2-3), pages 209-226, August. [Downloadable!] (restricted)
  9. Jean O. Lanjouw & Mark Schankerman, 2004. "Patent Quality and Research Productivity: Measuring Innovation with Multiple Indicators," Economic Journal, Royal Economic Society, vol. 114(495), pages 441-465, 04. [Downloadable!] (restricted)
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