This paper evaluates three energy-sector market transformation programs: the U.S. Environmental Protection Agency's Green Lights program to promote on-grid efficient lighting; the World Bank Group's new Photovoltaic Market Transformation Initiative; and the federal grain ethanol subsidy. We develop a benefit-cost model that uses experience curves to estimate unit cost reductions as a function of cumulative production. Accounting for dynamic feedback between the demand response and price reductions from production experience raises the benefit-cost ratio (BCR) of the first two programs substantially. The BCR of the ethanol program, however, is approximately zero, illustrating a technology for which subsidization was not justified. Our results support a broader role for market transformation programs to commercialize new environmentally attractive technologies, but the ethanol experience suggests moderately funding a broad portfolio composed of technologies that meet strict selection criteria.
AckerR. KammenD.M. (1996). “The quiet (Energy) revolution: the diffusion of photovoltaic power systems in Kenya,” Energy Policy24(1): 81-111.
3.
ArgoteL.EppleD. (1990). “Learning curves in manufacturing,” Science247: 920-924.
4.
ArrowK.J. (1962). “The economic implications of learning by doing,” Review of Economic Studies29: 166-170.
5.
BadiruA.B. (1992). “Computational survey of univariate and multivariate learning curve models,” IEEE Transactions on Engineering and Management39(2): 176-188.
6.
BassF.M. (1980). “The relationship between diffusion rates, experience curves, and demand elasticities for consumer durable technological innovations,” Journal of Business53(3): S50-S67.
7.
BeierleinJ.G.DunnJ.W.McConnonJ.C.Jr. (1981). “The demand for electricity and natural gas in the northeastern United States,” The Review of Economics and Statistics63(3): 403-408.
8.
Boston Consulting Group, Inc. (1972). Perspectives on Experience. Boston: The Boston Consulting Group, Inc.
9.
BovardJ. (1995). “Archer Daniels Midland: A case study in corporate welfare,” Cato Institute Policy Analysis No. 241.
10.
BruceJ.P.LeeH.HaitesE.F. (1995). Climate Change 1995: Economic and Social Dimensions of Climate Change: Contribution of Working Group III to the Second Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press.
11.
BushV. (1945, reprinted 1990). Science—The Endless Frontier: A Report to the President on a Program for Postwar Scientific Research. Washington: National Science Foundation.
12.
CabraalA.Cosgrove-DaviesM.SchaefferL. (1996). “Best practices for photovoltaic household electrification programs: lessons from experiences in selected countries,” World Bank, Technical Paper No. 324.
13.
CaldwellJ.H.Jr. (1994). “Photovoltaic technology and markets,” Contemporary Economic Policy12: 97-111.
14.
CodyG.D.TiedjeT. (1997). “A learning curve approach to projecting cost and performance for photovoltaic technologies,” paper presented to Future Generation of Photovoltaic Technologies NREL Conference held in Denver, Colorado, March 24-26, 1997.
15.
CohenL.R.NollR.G. (1991). The Technology Pork Barrel. Washington: The Brookings Institution.
16.
ColombierM.MenanteauP. (1997). “From energy labelling to performance standards: some methods of stimulating technical change to obtain greater energy efficiency,” Energy Policy25(4): 425-434.
17.
CrooksAnthony C. (1997) “Cooperatives and New Uses for Agricultural Products: An Assessment of the Fuel Ethanol Industry,” USDA Rural Business-Cooperative Service, RBS Research Report 148.
18.
DasguptaP.StiglitzJ. (1988). “Learning-by-doing, market-structure and industrial and trade policies,” Oxford Economic Papers40: 256-268.
19.
DuttonJ. M.ThomasA. (1984). “Treating progress functions as a managerial opportunity,” Academy of Management Review9(2): 235-247.
20.
EtoJ.KitoS.ShownL.SonnenblickR. (1995). “Where did the money go? The cost and performance of the largest commercial sector DSM programs,” Lawrence Berkeley Laboratory, LBL-38201.
21.
FHWA (1995). “Highway Statistics Summary to 1995,” Office of Highway Information Management, Estimated use of gasohol (Table MF-233E) and Gasohol sales by State, 1980-1992 (Table MF-233GLA), www.thwa.dot.gov/ohim/summary95/sectionl.html.
22.
FHWA (1996). “Highway Statistics 1996,” Office of Highway Information Management, Estimated use of gasohol (Table MF-33E), www.fliwa.dot.gov/ohim/ohimstat.htm.
23.
FHWA (1997). “Highway Statistics 1997,” Office of Highway Information Management, Estimated use of gasohol (Table MF-33E), www.fliwa.dot.gov/ohim/ohimstat.htm.
24.
FolsterS. (1991). The Art of Encouraging Invention: A New Approach to Government Innovation Policy. Stockholm: Almqvist & Wiksell.
25.
FreemanS. (1981). “Growth of a technologically progressive industry: a dynamic model and application to solar energy,” unpublished manuscript.
26.
GellerH.McGaraghanS. (1998). “Successful government-industry partnership: the US Department of Energy’s role in advancing energy-efficient technologies,” Energy Policy26(3): 167-177.
27.
GhemawatP.SpenceM.A. (1985). “Learning curve spillovers and market performance,” Quarterly Journal of Economics100, Supplement: 839-852.
28.
GoldembergJ. (1996). “Communication: The evolution of ethanol costs in Brazil,” Energy Policy24(12): 1127-1128.
29.
GrayD. (1995). “Reforming the energy sector in transition economies: selected experiences and lessons,” World Bank Discussion Papers, No. 296.
30.
GrubbM. (1997). “Technologies, energy systems, and the timing of CO, emissions abatement,” Energy Policy25(2): 159-172.
31.
GruberH. (1994). Strategic Product Innovation: Theory and Evidence for the Semiconductor Industry. Amsterdam: Elsevier Science.
32.
HallG.HowellS. (1985). “The Experience Curve from the Economist’s Perspective,” Strategic Management Journal6:197-212.
33.
HirschmanW.B. (1964). “Profit from the learning curve,” Harvard Business Review, January-February: 125-139.
34.
IrwinD.A.KlenowP.J. (1994). “Learning-by-doing spillovers in the semiconductor industry,” Journal of Political Economy102(6): 1200-1227.
35.
JaffeA.B.StavinsR.N. (1994). “The energy paradox and the diffusion of conservation technologies,” Resource and Energy Economics16: 91-122.
36.
JensenT. (1996). “Scenarios for global capacity building,” presented at the 25th IEEE Convention, Arlington, VA, May12.
37.
KahnAlfred E. (1988). The Economics of Regulation: Principles and Institutions. Cambridge, Massachusetts: The MIT Press.
38.
KennedyT. (1998). Environmental Projects Unit of the International Finance Corporation, personal communications with author, July.
39.
KrauseF. (1996). “The costs of mitigating carbon emissions: A review of methods and findings from European studies,” Energy Policy24(10/11): 899-915.
40.
LevineM.D.SonnenblickR. (1994). “On the assessment of utility demand-side management programs,” Energy Policy22(10): 848-856.
41.
LewisK. (1998). Director of Communications, USEPA Energy Star Buildings and Green Lights, personal communications with author, June.
42.
LiebermanM.B. (1984). “The learning curve pricing in the chemical industries,” Rand Journal of Economics15: 213-228.
43.
LiebermanM.B. (1987). “The learning curve, diffusion, and competitive strategy,” Strategic Management Journal8: 441-452.
44.
LongE.CreasonJ. (1997). “Ethanol Program,” A Program Evaluation Report, Report #97-04, Office of the Legislative Auditor, State of Minnesota.
45.
MajdSPindyckS. (1989). “The learning curve and optimal production under uncertainty,” RAND Journal of Economics20(3): 331-343.
46.
MarnayC.RicheyR.C.MahlerS.A.MarkelR.J. (1997). “Estimating the environmental and economic effects of wide spread residential PV adoption using GIS and NEMS,” Lawrence Berkeley National Laboratory, LBNL-41030.
47.
MaycockP. (1996). “Photovoltaic technology, performance, costand market forecast: 1975-2010,” PV Energy Systems, Inc.
48.
MorrisD. (1993). “Ethanol: A 150 year struggle toward a renewable future,” Speech delivered at Governor's Ethanol Coalition meeting in Peoria, IL, Institute for Local Self-Reliance.
49.
NeijL. (1997). “Use of experience curves to analyze the prospects for diffusion and adoption of renewable energy technology,” Energy Policy25(13): 1099-1107.
50.
NicholsonW. (1995). Microeconomic Theory: Basic Principles and Extensions. Fort Worth: The Dryden Press.
51.
NLPIP (1994). “Electronic Ballasts,” National Lighting Product Information Program Specifier Reports, 2(3).
52.
PetersonT. (1997). “Making photovoltaics economical for electric utilities,” Electric Power Research Institute Strategic R&D Report, Fall.
53.
PetrakisE.RasmusenE.RoyS. (1997). “The learning curve in a competitive industry,” RAND Journal of Economics28(2):248-268.
54.
RosenbergN. (1994). Exploring the Black Box: technology, economics, and history. New York: Cambridge University Press.
55.
RossD.R. (1986). “Learning to Dominate,” The Journal of Industrial Economics34: 337-353.
SavT.G. (1984). “Micro engineering foundations of energy-capital complementarity: solardomestic water heaters,” The Review of Economics and Statistics66(2): 334-338
58.
SmileyR.H.RavidS.A. (1983). “The importance of being first: learning price and strategy,” The Quarterly Journal of Economics98: 353-362.
59.
Solow (1994). “Perspectives on growth theory,” The Journal of Economic Perspectives8(1): 45-54.
60.
SpenceM. (1981). “The learning curve and competition,” Bell Journal of Economics12: 49-70.
61.
STAP/GEF Report (1996). “The outlook for renewable energy technologies, strategic considerations relating to the GEF portfolio, and priorities for targeted research,” The Scientific and Technical Advisory Panel of the Global Environment Facility.
62.
StokesD. E. (1997). Pasteur's Quadrant: Basic Science and Technological Innovation. Washington: Brookings Institution.
63.
StokeyN.L. (1986). “The Dynamics of Industrywide Learning” in Equilibrium Analysis: Essays in honor of Kenneth J. Arrow, Volume II, Eds. Heller, Walter P, Ross M. Starr and David A. Starrett. Cambridge: Cambridge University Press.
64.
SweeneyJ.L. (1984). “The Response of Energy Demand to Higher Prices: What have we learned?” The American Economic Review74(2): 31-37.
65.
UPVG (1994). “PV Vision,” The Utility Photovoltaics Group, 2(2).
66.
USDOC (1997). Current Industrial Reports: Fluorescent Lamps (MQ36C), United States Department of Commerce, Bureau of the Census, various years.
67.
USDOE (1997). Renewable Energy Annual1997, Volume I, United States Department of Energy.
68.
USEPA Green Lights Program (1995). Lighting Upgrade Manual, 7th Edition. United States Environmental Protection Agency 430-R-93-001.
69.
USEPA (1997). “Feasibility of Establishing Fees to Recover Program Costs for EPA’s Voluntary Efficiency and Energy Supply Programs,” prepared for Congress, March.
70.
USGAO (1997a). “Global Warming: Information on the Results of Four of the EPA’s Voluntary Climate Change Programs,” United States General Accounting Office Report to Congressional Committees. GAO/RCED-97-163.
71.
USGAO (1997b). “Tax Policy: Effects of the Alcohol Fuels Tax Incentives,” United States General Accounting Office Report to the Chairmen, Committee on Ways and Means, House of Representatives, GAO/RCED-97-41.
72.
VettasN. (1998). “Demand and supply in new markets: diffusion with bilateral learning,” Rand Journal of Economics29: 215-233.
73.
von HippelE. (1988). The Sources of Innovation. New York: Oxford University Press.
74.
WilliamsR.TerzianG. (1993). “A benefit/cost analysis of accelerated development of photovoltaic technology,” Princeton University Center for Energy and Environmental Studies, Report No. 281.
75.
WilliamsR. (1998). “Proposed Grand Bargain for Commercializing Renewable Electric Technologies in China,” Princeton University Center for Energy and Environmental Studies, unpublished manuscript.
76.
World Bank Group (1996). “Photovoltaic Market Transformation Initiative project documents,” International Finance Corporation Staff.
