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Network Effects in Alternative Fuel Adoption: Empirical Analysis of the Market for Ethanol

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Abstract

This paper investigates the importance of network effects in the demand for ethanol-compatible vehicles and the supply of ethanol fuel retailers. An indirect network effect, or positive feedback loop, arises in this context due to spatially-dependent complementarities in the availability of ethanol fuel and the installed base of ethanol-compatible vehicles. Marketers and social planners are interested in whether these effects exist, and if so, how policy might accelerate adoption of the ethanol fuel standard within a targeted population. To measure these feedback effects, I develop an econometric framework that considers the simultaneous determination of ethanol-compatible vehicle demand and ethanol fuel supply in local markets. The demand-side of the model considers the automobile purchase decisions of consumers and fleet operators, and the supply-side model considers the ethanol market entry decisions of competing fuel retailers. I propose new estimators that address the endogeneity induced by the co-determination of alternative fuel vehicle demand and alternative fuel supply. I estimate the model using zip code level panel data from six states over a six year period. I find the network effect to be highly significant, both statistically and economically. Under typical market conditions, entry of an additional ethanol fuel retailer leads to a 12% increase in consumer demand for ethanol-compatible vehicles. The entry model estimates imply that a monopolist requires a local installed base of at least 204 ethanol-compatible vehicles to be profitable. As an application, I demonstrate how the model estimates can inform the promotional strategy of a vehicle manufacturer. Counterfactual simulations indicate that subsidizing fuel retailers to offer ethanol can be an effective policy to indirectly increase ethanol-compatible vehicle sales.

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  • Scott K. Shriver, 2010. "Network Effects in Alternative Fuel Adoption: Empirical Analysis of the Market for Ethanol," Working Papers 10-20, NET Institute.
  • Handle: RePEc:net:wpaper:1020
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    1. Farrell, Joseph & Saloner, Garth, 1986. "Installed Base and Compatibility: Innovation, Product Preannouncements, and Predation," American Economic Review, American Economic Association, vol. 76(5), pages 940-955, December.
    2. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    3. Reiss, Peter C & Spiller, Pablo T, 1989. "Competition and Entry in Small Airline Markets," Journal of Law and Economics, University of Chicago Press, vol. 32(2), pages 179-202, October.
    4. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    5. Corts, Kenneth S., 2010. "Building out alternative fuel retail infrastructure: Government fleet spillovers in E85," Journal of Environmental Economics and Management, Elsevier, vol. 59(3), pages 219-234, May.
    6. Mark J. Eppli & John D. Benjamin, 1994. "The Evolution of Shopping Center Research: A Review and Analysis," Journal of Real Estate Research, American Real Estate Society, vol. 9(1), pages 5-32.
    7. Sangin Park, 2004. "Quantitative Analysis of Network Externalities in Competing Technologies: The VCR Case," The Review of Economics and Statistics, MIT Press, vol. 86(4), pages 937-945, November.
    8. Matthew T. Clements & Hiroshi Ohashi, 2005. "Indirect Network Effects And The Product Cycle: Video Games In The U.S., 1994–2002," Journal of Industrial Economics, Wiley Blackwell, vol. 53(4), pages 515-542, December.
    9. Neil Gandal & Michael Kende & Rafael Rob, 2000. "The Dynamics of Technological Adoption in Hardware/Software Systems: The Case of Compact Disc Players," RAND Journal of Economics, The RAND Corporation, vol. 31(1), pages 43-61, Spring.
    10. Steven T. Berry & Joel Waldfogel, 1999. "Free Entry and Social Inefficiency in Radio Broadcasting," RAND Journal of Economics, The RAND Corporation, vol. 30(3), pages 397-420, Autumn.
    11. Berry, Steven & Levinsohn, James & Pakes, Ariel, 1995. "Automobile Prices in Market Equilibrium," Econometrica, Econometric Society, vol. 63(4), pages 841-890, July.
    12. Caillaud, Bernard & Jullien, Bruno, 2003. "Chicken & Egg: Competition among Intermediation Service Providers," RAND Journal of Economics, The RAND Corporation, vol. 34(2), pages 309-328, Summer.
    13. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    14. Bresnahan, Timothy F & Reiss, Peter C, 1991. "Entry and Competition in Concentrated Markets," Journal of Political Economy, University of Chicago Press, vol. 99(5), pages 977-1009, October.
    15. Harikesh Nair & Pradeep Chintagunta & Jean-Pierre Dubé, 2004. "Empirical Analysis of Indirect Network Effects in the Market for Personal Digital Assistants," Quantitative Marketing and Economics (QME), Springer, vol. 2(1), pages 23-58, March.
    16. Katz, Michael L & Shapiro, Carl, 1985. "Network Externalities, Competition, and Compatibility," American Economic Review, American Economic Association, vol. 75(3), pages 424-440, June.
    17. Hiroshi Ohashi, 2003. "The Role of Network Effects in the US VCR Market, 1978–1986," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 12(4), pages 447-494, December.
    18. Berry, Steven T, 1992. "Estimation of a Model of Entry in the Airline Industry," Econometrica, Econometric Society, vol. 60(4), pages 889-917, July.
    19. James H. Stock & Motohiro Yogo, 2002. "Testing for Weak Instruments in Linear IV Regression," NBER Technical Working Papers 0284, National Bureau of Economic Research, Inc.
    20. Marc Rysman, 2004. "Competition Between Networks: A Study of the Market for Yellow Pages," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 71(2), pages 483-512.
    21. Berry, Steven & Reiss, Peter, 2007. "Empirical Models of Entry and Market Structure," Handbook of Industrial Organization, in: Mark Armstrong & Robert Porter (ed.), Handbook of Industrial Organization, edition 1, volume 3, chapter 29, pages 1845-1886, Elsevier.
    22. Venkatesh Shankar & Barry L. Bayus, 2003. "Network effects and competition: an empirical analysis of the home video game industry," Strategic Management Journal, Wiley Blackwell, vol. 24(4), pages 375-384, April.
    23. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    24. Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
    25. Sachin Gupta & Dipak C. Jain & Mohanbir S. Sawhney, 1999. "Modeling the Evolution of Markets with Indirect Network Externalities: An Application to Digital Television," Marketing Science, INFORMS, vol. 18(3), pages 396-416.
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    Cited by:

    1. Sridhar Narayanan & Harikesh S. Nair, 2011. "Estimating Causal Installed-Base Effects: A Bias-Correction Approach," Working Papers 11-22, NET Institute.
    2. Paul B. Ellickson & Sanjog Misra, 2011. "Structural Workshop Paper --Estimating Discrete Games," Marketing Science, INFORMS, vol. 30(6), pages 997-1010, November.
    3. Juliano Assuncao & Joao Paulo Pessoa & Leonardo Rezende, 2013. "Flex Cars and Competition in Ethanol and Gasoline Retail Markets," CEP Discussion Papers dp1251, Centre for Economic Performance, LSE.

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    More about this item

    Keywords

    ethanol; flex-fuel vehicles; indirect network e¤ects; market entry;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation
    • L91 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Transportation: General
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • Q21 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Demand and Supply; Prices
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources

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