Based on patent data and industry specific energy prices for 18 OECD countries over 30 years we investigate on an industry level the impact of energy prices on green innovation activities. Our econometric models show that energy prices and green innovation activities are positively related and that energy prices have a significantly positive impact on the ratio of green innovations to non-green innovations. More concretely, our main model shows that a 10% increase of the average energy prices over the previous five years results in a 3.4% and 4.8% increase of the number of green innovations and the ratio of green innovations to non-green innovations, respectively. We also find that the impact of energy prices increases with an increasing lag between energy prices and innovation activities. Robustness tests confirm the main results.
AghionP.DechezleprêtreA.HemousD.MartinR.Van ReenenJ. (2012). “Carbon taxes, path dependency and directed technical change: Evidence from the auto industry.” NBER Working Paper, No. 18596.
ArrowK.A. (1962). “Economic welfare and the allocation of resources to invention.” pp. 165-180, in MirowskiP.SentE.-M. (eds.), Science bought and sold, Chicago, The University of Chicago Press 2002.
4.
BeiseM.RenningsK. (2005). “Lead markets and regulation: a framework for analyzing the international diffusion of environmental innovations.” Ecological Economics52(1): 5-17. http://dx.doi.org/10.1016/j.ecolecon.2004.06.007.
5.
BinswangerH.P.RuttanV.W. (1978). Induced Innovation. The Johns Hopkins University Press, Baltimore.
6.
BlundellR.GriffithR.Van ReenenJ. (1995). “Dynamic Count Data Models of Technological Innovation.” The Economic Journal105(March): 333-344. http://dx.doi.org/10.2307/2235494.
7.
BrunnermeierS.B.CohenM.A. (2003). “Determinants of Environmental Innovation in US Manufacturing Industries.” Journal of Environmental Economics and Management45(2): 278-293. http://dx.doi.org/10.1016/S0095-0696(02)00058-X.
8.
CarraroC.SiniscalcoD. (1994). “Environmental policy reconsidered: The role of technological innovation.” European Economic Review38(1): 545-554. http://dx.doi.org/10.1016/0014-2921(94)90090-6.
9.
CockburnI.GrilichesZ. (1988). “Industry Effects and Appropriability Measures in the Stock Market’s Valuation of R&D and Patents.” American Economic Review78(2): 419-423.
10.
CrabbJ. M.JohnsonD.K.N. (2010). “Fueling Innovation: The impact of oil prices and CAFE standards on energy-efficient automotive technology.” The Energy Journal31(1): 199-216. http://dx.doi.org/10.5547/ISSN0195-6574-EJ-Vol31-No1-9.
11.
FaberA.FrenkenK. (2009). “Models in evolutionary economics and environmental policy: Towards an evolutionary environmental economics.” Technological Forecasting and Social Change76(4): 462-470. http://dx.doi.org/10.1016/j.techfore.2008.04.009.
12.
GrilichesZ. (1979). “Issues in Assessing the Contribution of Research and Development to Productivity Growth.” Bell Journal of Economics10(1): 92-116. http://dx.doi.org/10.2307/3003321.
13.
GrilichesZ. (1990). “Patent Statistics as Economic Indicators: A Survey.” Journal of Economic Literature28(4): 16611707.
14.
HallB.H.HelmersC. (2011). “Innovation and Diffusion of Clean/Green Technology: Can Patent Commons Help?” National Bureau of Economic Research Working Paper No. 16920.
15.
HallB.H.JaffeA.TrajtenbergM. (2005). “Market value and patent citations.” Rand Journal of Economics36(1): 1638.
16.
HelmD. (2012). The Carbon Crunch. Yale University Press, New Haven and London. http://dx.doi.org/10.12987/yale/9780300186598.001.0001.
17.
HorbachJ.RammerC.RenningsK. (2012). “Determinants of eco-innovations by type of environmental impact - The role of regulatory push/pull, technology push and market pull.” Ecological Economics78: 112-122. http://dx.doi.org/10.1016/j.ecolecon.2012.04.005.
18.
IEA (2012a). “IEA Energy Prices and Taxes Statistics.” available at: www.oecd-ilibrary.org/energy/data/iea-energy-prices-and-taxes-statistics_eneprice-data-en (accessed December2012).
19.
IEA (2012b). “IEA World Energy Statistics and Balances, Extended world energy balances.” available at: www.oecd-ilibrary.org/energy/data/iea-world-energy-statistics-and-balances_enestats-data-en (accessed December2012).
20.
ImK.S.PesaranM.H.ShinY. (2003). “Testing for unit roots in heterogeneous panels.” Journal of Econometrics115: 53-74. http://dx.doi.org/10.1016/S0304-4076(03)00092-7.
21.
JaffeA.B. (1986). “Technological Opportunity and Spillovers of R&D: Evidence from Firms’ Patens, Profits, and Market Value.” American Economic Review76(5): 984-1001.
22.
JaffeA.B. (1989). “Real Effects of Academic Research.” American Economic Review79(5): 957-970.
23.
JaffeA.B.PalmerK. (1997). “Environmental regulation and innovation: A panel data study.” Review of Economics and Statistics79(4): 610-519. http://dx.doi.org/10.1162/003465397557196.
24.
JohnstoneN.HaščičI.PoppD. (2010). “Renewable energy policies and technological innovation: Evidence based on patent counts.” Environmental and Resource Economics45(1): 133-55. http://dx.doi.org/10.1007/s10640-009-9309-1.
25.
JohnstoneN.HaščičI.PoirierJ.HemarM.MichelC. (2012). “Environmental policy stringency and technological innovation: evidence from survey data and patent counts.” Applied Economics44(17): 2157-2170. http://dx.doi.org/10.1080/00036846.2011.560110.
26.
KellerW. (2002). “Geographic Localization of International Technology Diffusion.” American Economic Review92(1): 120-142. http://dx.doi.org/10.1257/000282802760015630.
27.
LanziE.Sue WingI. (2011). “Directed Technical Change in the Energy Sector: An Empirical Test of Induced Directed Innovation.” Paper presented at the WCERE 2010 Conference, mimeo.
28.
LanjouwJ.O.ModyA. (1996). “Innovation and the international diffusion of environmentally responsive technology.” Research Policy25(4): 549-571. http://dx.doi.org/10.1016/0048-7333(95)00853-5.
29.
LevinA.LinC.F.ChuC.S.J. (2002). “Unit root tests in panel data: Asymptotic and finite-sample properties.” Journal of Econometrics108: 1-24. http://dx.doi.org/10.1016/S0304-4076(01)00098-7.
30.
LybbertT.ZolasN.J. (2012). “Getting Patents and Economic Data to Speak to Each Other: An ‘Algorithmic Links with Probabilities’ Platform for Joint Analyses of Patenting Trade and Industrial Activity.” Working Paper, University of California, Davis.
31.
MarinG. (2014). “Do Eco-Innovations harm productivity growth through crowding out? Results of an extended CDM model for Italy.” Research Policy43(2): 301-317. http://dx.doi.org/10.1016/j.respol.2013.10.015.
32.
MohrR.D. (2002). “Technical Change, External Economies, and the Porter Hypothesis.” Journal of Environmental Economics and Management43: 158-168. http://dx.doi.org/10.1006/jeem.2000.1166.
33.
MohrR.D.SahaS. (2008). “Distribution of Environmental Costs and Benefits, Additional Distortions, and the Porter Hypothesis.” Land Economics84(4): 689-700.
34.
NewellR.G.JaffeA.B.StavinsR.N. (1999). “The Induced Innovation Hypothesis and Energy-Saving Technological Change.” The Quarterly Journal of Economics114(3): 941-975. http://dx.doi.org/10.1162/003355399556188.
35.
OECD (2011). “OECD STAN Database for Structural Analysis (ISIC Rev. 3).” available at: www.oecd.org/sti/stan (accessed December2012).
36.
OECD (2012). “Indicators of Environmental Technologies (ENV-Tech Indicators).” OECD, Paris, available at: http://www.oecd.org/dataoecd/4/14/47917636.pdf (accessed February2012).
37.
OECD (2013). “OECD Patents statistics, Main Science and Technology Indicators full database.” available at: http://www.oecd.org/sti/msti.htm (accessed April2014).
38.
PesaranH. (2003). “A Simple Panel Unit Root Test in the Presence of Cross Section Dependence.” Cambridge Working Papers in Economics 0346, Faculty of Economics (DAE), University of Cambridge.
39.
PoppD. (2002). “Induced Innovation and Energy Prices.” The American Economic Review92(1): 160-180. http://dx.doi.org/10.1257/000282802760015658.
40.
PoppD. (2011). “International Technology Transfer, Climate Change, and the Clean Development Mechanism.” Review of Environmental Economics and Policy5(1): 131-152. http://dx.doi.org/10.1093/reep/req018.
41.
PorterM.E.van der LindeC. (1995). “Green and Competitive: Breaking the Stalemate.” Harvard Business Review73(5): 120-133.
42.
SchmochU.LavilleF.PatelP.FritschR. (2003). “Linking technology areas to industrial sectors.” Final Report to the European Commission, DG Research. Karlsruhe, Paris, Brighton.
43.
SchmutzlerA. (2001). “Environmental Regulations and Managerial Myopia.” Environmental and Resource Economics18: 87-100. http://dx.doi.org/10.1023/A:1011113106055.
44.
SoltmannC.StuckiT.WoerterM. (2014). “The Impact of Environmentally Friendly Innovations on Value Added.” Environmental and Resource Economics, forthcoming. http://dx.doi.org/10.1007/s10640-014-9824-6.
45.
StuckiT.WoerterM. (2012). “Determinants of Green Innovation: The Impact of Internal and External Knowledge.” KOF Working Paper, No. 314.
46.
Van LeeuwenG.MohnenP. (2013). “Revisiting the Porter hypothesis: an empirical analysis of green innovation for the Netherlands.” CIRANO Working Paper, No. 2013s-02. Montreal.
47.
VerdoliniE.GaleottiM. (2011). “At home and abroad: An empirical analysis of innovation and diffusion in energy technologies.” Journal of Environmental Economics and Management61(1): 119-134. http://dx.doi.org/10.1016/j.jeem.2010.08.004.
48.
WooldridgeJ.M. (2002). “Introductory Econometrics—A modern approach.” South-Western College Pub, 2 ed.
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