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Technological change in economic models of environmental policy: a survey

  • Löschel, Andreas

This paper provides an overview of the treatment of technological change in economic models of environmental policy. Numerous economic modeling studies have confirmed the sensitivity of mid- and long-run climate change mitigation cost and benefit projections to assumptions about technology costs. In general, technical progress is considered to be a noneconomic, exogenous variable in global climate change modeling. However, there is overwhelming evidence that technological change is not an exogenous variable but to an important degree endogenous, induced by needs and pressures. Hence, some environmenteconomy models treat technological change as endogenous, responding to socio-economic variables. Three main elements in models of technological innovation are: (i) corporate investment in research and development, (ii) spillovers from R&D, and (iii) technology learning, especially learning-by-doing. The incorporation of induced technological change in different types of environmental-economic models tends to reduce the costs of environmental policy, accelerates abatement and may lead to positive spillover and negative leakage.

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Paper provided by ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research in its series ZEW Discussion Papers with number 01-62.

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Date of creation: 2001
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Handle: RePEc:zbw:zewdip:5418
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  1. Jones, Clifton T, 1994. "Accounting for technical progress in aggregate energy demand," Energy Economics, Elsevier, vol. 16(4), pages 245-252, October.
  2. Ad Seebregts & Tom Kram & Gerrit Jan Schaeffer & Alexandra Bos, 2000. "Endogenous learning and technology clustering: analysis with MARKAL model of the Western European energy system," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 14(1/2/3/4), pages 289-319.
  3. Minh Ha-Duong & Michael Grubb & Jean Charles Hourcade, 1997. "Influence of socioeconomic inertia and uncertainty on optimal CO2-emission abatement," Post-Print halshs-00002452, HAL.
  4. Michael E. Porter & Claas van der Linde, 1995. "Toward a New Conception of the Environment-Competitiveness Relationship," Journal of Economic Perspectives, American Economic Association, vol. 9(4), pages 97-118, Fall.
  5. Adam B. Jaffe & Richard G. Newell & Robert N. Stavins, 2000. "Technological Change and the Environment," NBER Working Papers 7970, National Bureau of Economic Research, Inc.
  6. Hourcade, Jean-Charles & Robinson, John, 1996. "Mitigating factors : Assessing the costs of reducing GHG emissions," Energy Policy, Elsevier, vol. 24(10-11), pages 863-873.
  7. Michael Grubb, 2000. "Economic dimensions of technological and global responses to the Kyoto protocol," Journal of Economic Studies, Emerald Group Publishing, vol. 27(1/2), pages 111-125, January.
  8. Lucas, Robert Jr., 1988. "On the mechanics of economic development," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 3-42, July.
  9. Grossman, G.M. & Helpman, E., 1993. "Endogenous, Innovation in the Theory of Growth," Papers 165, Princeton, Woodrow Wilson School - Public and International Affairs.
  10. Beghin, John C. & Roland-Holst, David & Van der Mensbrugghe, Dominique, 2005. "Trade Liberalization and the Environment in the Pacific Basin: Coordinated Approaches to Mexican Trade and Environment Policy," Staff General Research Papers 12742, Iowa State University, Department of Economics.
  11. Zvi Griliches, 1998. "Issues in Assessing the Contribution of Research and Development to Productivity Growth," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 17-45 National Bureau of Economic Research, Inc.
  12. Kverndokk,S. & Rosendahl,K.E. & Rutherford,T.F., 2001. "Climate policies and induced technological change : which to choose the carrot or the stick?," Memorandum 26/2001, Oslo University, Department of Economics.
  13. C Carraro & Jc Hourcade, 1998. "Climate modelling and policy strategies. The role of technical change and uncertainty," Post-Print hal-00716515, HAL.
  14. Michael Grubb & Chapuis Thierry & Minh Ha-Duong, 1995. "The economics of changing course: implications of adaptability and inertia for optimal climate policy," Post-Print halshs-00002455, HAL.
  15. Binswanger, Mathias, 2001. "Technological progress and sustainable development: what about the rebound effect?," Ecological Economics, Elsevier, vol. 36(1), pages 119-132, January.
  16. Terry Barker & Jonathan Köhler, 1998. "Equity and ecotax reform in the EU: achieving a 10 per cent reduction in CO2 emissions using excise duties," Fiscal Studies, Institute for Fiscal Studies, vol. 19(4), pages 375-402, November.
  17. David, Paul A, 1985. "Clio and the Economics of QWERTY," American Economic Review, American Economic Association, vol. 75(2), pages 332-37, May.
  18. Grubb, M. & Kohler, J., 2000. "Induced Technical Change: Evidence and Implications for Energy-Environmental Modelling and Policy," Cambridge Working Papers in Economics 0031, Faculty of Economics, University of Cambridge.
  19. Richard Tol, 1999. "Spatial and Temporal Efficiency in Climate Policy: Applications of FUND," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 14(1), pages 33-49, July.
  20. Demetrios Papathanasiou and Dennis Anderson, 2001. "Uncertainties in Responding to Climate Change: On the Economic Value of Technology Policies for Reducing Costs and Creating Options," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 79-114.
  21. Neij, Lena, 1997. "Use of experience curves to analyse the prospects for diffusion and adoption of renewable energy technology," Energy Policy, Elsevier, vol. 25(13), pages 1099-1107, November.
  22. Sabine Messner, 1997. "Endogenized technological learning in an energy systems model," Journal of Evolutionary Economics, Springer, vol. 7(3), pages 291-313.
  23. Gritsevskyi, Andrii & Nakicenovi, Nebojsa, 2000. "Modeling uncertainty of induced technological change," Energy Policy, Elsevier, vol. 28(13), pages 907-921, November.
  24. Nikolaos Kouvaritakis & Antonio Soria & Stephane Isoard, 2000. "Modelling energy technology dynamics: methodology for adaptive expectations models with learning by doing and learning by searching," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 14(1/2/3/4), pages 104-115.
  25. Goulder, Lawrence H. & Mathai, Koshy, 2000. "Optimal CO2 Abatement in the Presence of Induced Technological Change," Journal of Environmental Economics and Management, Elsevier, vol. 39(1), pages 1-38, January.
  26. Stephen C. Peck & Thomas J. Teisberg, 1999. "CO2 Emissions Control Agreements: Incentives for Regional Participation," The Energy Journal, International Association for Energy Economics, vol. 0(Special I), pages 367-390.
  27. Bovenberg, A.L. & Smulders, J.A., 1995. "Environmental quality and pollution-augmenting technological change in a two-sector endogenous growth model," Other publications TiSEM 6784bb12-71fb-45a5-bf7e-8, Tilburg University, School of Economics and Management.
  28. Mackay, R.M & Probert, S.D, 1998. "Likely market-penetrations of renewable-energy technologies," Applied Energy, Elsevier, vol. 59(1), pages 1-38, January.
  29. Jorgenson, Dale W. & Wilcoxen, Peter J., 1990. "Intertemporal general equilibrium modeling of U.S. environmental regulation," Journal of Policy Modeling, Elsevier, vol. 12(4), pages 715-744.
  30. Alan S. Manne & Richard G. Richels, 1999. "The Kyoto Protocol: A Cost-Effective Strategy for Meeting Environmental Objectives?," The Energy Journal, International Association for Energy Economics, vol. 0(Special I), pages 1-23.
  31. Dowlatabadi, Hadi, 1998. "Sensitivity of climate change mitigation estimates to assumptions about technical change," Energy Economics, Elsevier, vol. 20(5-6), pages 473-493, December.
  32. Carraro, Carlo & Galeotti, Marzio, 1997. "Economic growth, international competitiveness and environmental protection: R & D and innovation strategies with the WARM model," Energy Economics, Elsevier, vol. 19(1), pages 2-28, March.
  33. Bergman, Lars, 1990. "Energy and environmental constraints on growth: A CGE modeling approach," Journal of Policy Modeling, Elsevier, vol. 12(4), pages 671-691.
  34. Buonanno, Paolo & Carraro, Carlo & Galeotti, Marzio, 2003. "Endogenous induced technical change and the costs of Kyoto," Resource and Energy Economics, Elsevier, vol. 25(1), pages 11-34, February.
  35. Kemfert, Claudia & Welsch, Heinz, 2000. "Energy-Capital-Labor Substitution and the Economic Effects of CO2 Abatement: Evidence for Germany," Journal of Policy Modeling, Elsevier, vol. 22(6), pages 641-660, November.
  36. McDonald, Alan & Schrattenholzer, Leo, 2001. "Learning rates for energy technologies," Energy Policy, Elsevier, vol. 29(4), pages 255-261, March.
  37. Grubb, Michael, 1997. "Technologies, energy systems and the timing of CO2 emissions abatement : An overview of economic issues," Energy Policy, Elsevier, vol. 25(2), pages 159-172, February.
  38. Stephen C Peck & Thomas J. Teisberg, 1992. "CETA: A Model for Carbon Emissions Trajectory Assessment," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 55-78.
  39. Grubler, Arnulf & Messner, Sabine, 1998. "Technological change and the timing of mitigation measures," Energy Economics, Elsevier, vol. 20(5-6), pages 495-512, December.
  40. Jacobsen, Henrik Klinge, 2001. "Technological progress and long-term energy demand -- a survey of recent approaches and a Danish case," Energy Policy, Elsevier, vol. 29(2), pages 147-157, January.
  41. Manne, Alan S. & Barreto, Leonardo, 2004. "Learn-by-doing and carbon dioxide abatement," Energy Economics, Elsevier, vol. 26(4), pages 621-633, July.
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