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The Location Decisions of Biodiesel Refineries

Author

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  • T. Randall Fortenbery
  • Steven C. Deller
  • Lindsay Amiel

Abstract

We examine the community characteristics that lead to locating a biodiesel plant. Utilizing data that includes all biodiesel plants in the United States, we employ spatial econometrics to evaluate those characteristics that lead to a plant siting. While public policies associated with biofuels may be endogenous to location decisions, we find them unimportant except in the case of consumption mandates. Despite evidence of plant clusters, it does not appear that operating plants are critical to the siting of a new plant. Results provide insights for community leaders relative to actions that can increase the probability a plant will be built.

Suggested Citation

  • T. Randall Fortenbery & Steven C. Deller & Lindsay Amiel, 2013. "The Location Decisions of Biodiesel Refineries," Land Economics, University of Wisconsin Press, vol. 89(1), pages 118-136.
  • Handle: RePEc:uwp:landec:v:89:y:2013:i:1:p:118-136
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    References listed on IDEAS

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    1. Fortenbery, T. Randall & Deller, Steven, 2006. "Understanding Community Impacts: A Tool for Evaluating Externalities from Local Bio-Fuels Production," Staff Paper Series 505, University of Wisconsin, Agricultural and Applied Economics.
    2. Kurt J. Beron & James C. Murdoch & Wim P. M. Vijverberg, 2003. "Why Cooperate? Public Goods, Economic Power, and the Montreal Protocol," The Review of Economics and Statistics, MIT Press, vol. 85(2), pages 286-297, May.
    3. Kelejian, Harry H & Prucha, Ingmar R, 1998. "A Generalized Spatial Two-Stage Least Squares Procedure for Estimating a Spatial Autoregressive Model with Autoregressive Disturbances," The Journal of Real Estate Finance and Economics, Springer, vol. 17(1), pages 99-121, July.
    4. Lambert, Dayton M. & Wilcox, Michael D. & English, Alicia & Stewart, Lance A., 2008. "Ethanol Plant Location Determinants and County Comparative Advantage," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 40(1), pages 1-19, April.
    5. Kurt E. Schnier & Ronald G. Felthoven, 2011. "Accounting for Spatial Heterogeneity and Autocorrelation in Spatial Discrete Choice Models: Implications for Behavioral Predictions," Land Economics, University of Wisconsin Press, vol. 87(3), pages 382-402.
    6. Paulo Guimarães & Octávio Figueiredo & Douglas Woodward, 2004. "Industrial Location Modeling: Extending the Random Utility Framework," Journal of Regional Science, Wiley Blackwell, vol. 44(1), pages 1-20, February.
    7. Kevin McNew & Duane Griffith, 2005. "Measuring the Impact of Ethanol Plants on Local Grain Prices," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 27(2), pages 164-180.
    8. Richard D. Robertson & Gerald C. Nelson & Alessandro De Pinto, 2009. "Investigating the predictive capabilities of discrete choice models in the presence of spatial effects," Papers in Regional Science, Wiley Blackwell, vol. 88(2), pages 367-388, June.
    9. Turnquist, Alan & Fortenbery, T. Randall & Foltz, Jeremy D., 2008. "Progress or Devastation? The Effects of Ethanol Plant Location on Local Land Use," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6125, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    10. Elena G. Irwin, 2002. "Interacting agents, spatial externalities and the evolution of residential land use patterns," Journal of Economic Geography, Oxford University Press, vol. 2(1), pages 31-54, January.
    11. Fortenbery, T. Randall, 2005. "Biodiesel Feasibility Study: An Evaluation of Biodiesel Feasibility in Wisconsin," Staff Papers 12629, University of Wisconsin-Madison, Department of Agricultural and Applied Economics.
    12. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387.
    13. Kurt J. Beron & Wim P. M. Vijverberg, 2004. "Probit in a Spatial Context: A Monte Carlo Analysis," Advances in Spatial Science, in: Luc Anselin & Raymond J. G. M. Florax & Sergio J. Rey (ed.), Advances in Spatial Econometrics, chapter 8, pages 169-195, Springer.
    14. Nancy E. Bockstael, 1996. "Modeling Economics and Ecology: The Importance of a Spatial Perspective," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(5), pages 1168-1180.
    15. Daniel P. McMillen, 1989. "An Empirical Model of Urban Fringe Land Use," Land Economics, University of Wisconsin Press, vol. 65(2), pages 138-145.
    16. Pinkse, Joris & Slade, Margaret E., 1998. "Contracting in space: An application of spatial statistics to discrete-choice models," Journal of Econometrics, Elsevier, vol. 85(1), pages 125-154, July.
    17. Thomas H. Klier & Daniel P. McMillen, 2005. "Clustering of auto supplier plants in the U.S.: GMM spatial logit for large samples," Working Paper Series WP-05-18, Federal Reserve Bank of Chicago.
    18. Hicks, Robert L. & Schnier, Kurt E., 2010. "Spatial regulations and endogenous consideration sets in fisheries," Resource and Energy Economics, Elsevier, vol. 32(2), pages 117-134, April.
    19. Holloway, Garth & Shankar, Bhavani & Rahman, Sanzidur, 2002. "Bayesian spatial probit estimation: a primer and an application to HYV rice adoption," Agricultural Economics, Blackwell, vol. 27(3), pages 383-402, November.
    20. Philip McCann (ed.), 2002. "Industrial Location Economics," Books, Edward Elgar Publishing, number 2389.
    21. Xiaokun Wang & Kara M. Kockelman, 2009. "Application of the dynamic spatial ordered probit model: Patterns of land development change in Austin, Texas," Papers in Regional Science, Wiley Blackwell, vol. 88(2), pages 345-365, June.
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    Cited by:

    1. Yuichi Ishimura & Kenji Takeuchi, 2017. "Does conflict matter? Spatial distribution of disposal sites in Japan," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 19(1), pages 99-120, January.
    2. Tessa Conroy & Steven Deller & Alexandra Tsvetkova, 2017. "Interstate Relocation Of Manufacturers And Business Climate," Review of Urban & Regional Development Studies, Wiley Blackwell, vol. 29(1), pages 18-45, March.
    3. Najafi, Fatemeh & Sedaghat, Ahmad & Mostafaeipour, Ali & Issakhov, Alibek, 2021. "Location assessment for producing biodiesel fuel from Jatropha Curcas in Iran," Energy, Elsevier, vol. 236(C).
    4. Conroy, Tessa & Deller, Steven & Tsvetkova, Alexandra, 2016. "Regional business climate and interstate manufacturing relocation decisions," Regional Science and Urban Economics, Elsevier, vol. 60(C), pages 155-168.
    5. Ishimura, Yuichi & Takeuchi, Kenji, 2019. "The spatial concentration of waste landfill sites in Japan," Resource and Energy Economics, Elsevier, vol. 58(C).
    6. Lee, Gi-Eu & Loveridge, Scott & Joshi, Satish, 2017. "Local acceptance and heterogeneous externalities of biorefineries," Energy Economics, Elsevier, vol. 67(C), pages 328-336.
    7. Yuichi Ishimura & Kenji Takeuchi, 2015. "Spatial Distribution of Disposal Sites¦ Empirical Evidence from Japan," Discussion Papers 1523, Graduate School of Economics, Kobe University.
    8. Yuichi Ishimura & Kenji Takeuchi, 2018. "Where Did Our NIMBY Go? The Spatial Concentration of Waste Landfill Sites in Japan," Discussion Papers 1818, Graduate School of Economics, Kobe University.

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    JEL classification:

    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources

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