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Role of Ethanol Plants in Dakotas’ Land Use Change: Analysis Using Remotely Sensed Data

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  • Arora, Gaurav
  • Wolter, Peter T.
  • Feng, Hongli
  • Hennessy, David A.

Abstract

North and South Dakota have experienced rapid land-use changes in the past decade. Recent studies have shown that these land-use changes are mainly characterized by conversions of grasslands to crop production, especially corn and soybeans. Approximately 271,000 hectares of grasslands were lost to corn and soy production in 2006-2011 period, almost seven times the losses in 1989-2003. The implications of these changing land-uses range from reduced biodiversity and loss of habitat for waterfowl species to low agricultural productivity on drought-sensitive marginal lands. While progress has been made in characterizing regional land-use changes, formal analyses establishing causal relationships at the local level are lacking. We construct a spatially delineated dataset for the Dakotas and utilize a Difference-in-Difference (DID) model in conjugation with Propensity Score Matching to estimate the impact of an ethanol plant on nearby corn-acres. We hold the advent of an ethanol plant to be a treatment that influences land-use on surrounding agricultural plots. In our preliminary work, based on the Parallel Paths assumption of the DID, we find that the effect of ethanol plants on corn production varies by plants and a single point estimate for all ethanol plants in a region, as usually provided in the literature, can be highly misleading. Surprisingly, we find both positive as well as negative effects of ethanol plants on corn-acres that may be statistically insignificant. Negative estimates are irreconcilable to the economic incentives due to these corn-based ethanol plants. We find intensified corn production and reduced soybeans due to the ethanol plants. Our analysis also reflects a difference in opportunity of converting from wheat to corn and from grass to corn. We use placebo tests and pre-treatment trends in corn acres to examine the Parallel Paths assumption that identifies the DID estimates. We find that this assumption fails and propose to carry out this analysis by incorporating differentiated trends into the DID framework through more flexible assumptions in future. An important contribution of this paper is that it presents a unique research design that uses quasi-experimental techniques to evaluate the impact of a change/policy upon availability of spatially delineated datasets. To this extent, our results are to be viewed as preliminary.

Suggested Citation

  • Arora, Gaurav & Wolter, Peter T. & Feng, Hongli & Hennessy, David A., 2015. "Role of Ethanol Plants in Dakotas’ Land Use Change: Analysis Using Remotely Sensed Data," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 206565, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea15:206565
    DOI: 10.22004/ag.econ.206565
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    1. 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.
    2. Motamed, Mesbah J. & McPhail, Lihong Lu, 2011. "Spatial Dimensions of US Crop Selection: Recent Responses to Markets and Policy," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103270, Agricultural and Applied Economics Association.
    3. Miao, Ruiqing, 2013. "Impact of Ethanol Plants on Local Land Use Change," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 42(2), pages 1-19, August.
    4. John A. List & Daniel L. Millimet & Per G. Fredriksson & W. Warren McHone, 2003. "Effects of Environmental Regulations on Manufacturing Plant Births: Evidence from a Propensity Score Matching Estimator," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 944-952, November.
    5. Alberto Abadie, 2005. "Semiparametric Difference-in-Differences Estimators," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(1), pages 1-19.
    6. Zhang, Wendong & Irwin, Elena G. & Nickerson, Cynthia J., 2012. "The Expanding Ethanol Market and Farmland Values: Identifying the Changing Influence of Proximity to Agricultural Delivery Points," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124690, Agricultural and Applied Economics Association.
    7. Wendong Zhang & Cynthia J. Nickerson, 2015. "Housing Market Bust and Farmland Values: Identifying the Changing Influence of Proximity to Urban Centers," Land Economics, University of Wisconsin Press, vol. 91(4), pages 605-626.
    8. Xiaodong Du & David A. Hennessy & William M. Edwards, 2007. "Determinants of Iowa Cropland Cash Rental Rates: Testing Ricardian Rent Theory," Center for Agricultural and Rural Development (CARD) Publications 07-wp454, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    9. 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.
    10. Mora, Ricardo & Reggio, Iliana, 2012. "Treatment effect identification using alternative parallel assumptions," UC3M Working papers. Economics we1233, Universidad Carlos III de Madrid. Departamento de Economía.
    11. 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).
    12. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    13. Jason Henderson & Brent A. Gloy, 2009. "The impact of ethanol plants on cropland values in the great plains," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 69(1), pages 36-48, May.
    14. Meyer, Bruce D, 1995. "Natural and Quasi-experiments in Economics," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(2), pages 151-161, April.
    15. Sarah J. Reber, 2005. "Court Ordered Desegregation: Successes and Failures Integrating American Schools since Brown versus Board of Education," Journal of Human Resources, University of Wisconsin Press, vol. 40(3).
    16. Katchova, Ani L., 2009. "The Spatial Effect of Ethanol Biorefinery Locations on Local Corn Prices," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49309, Agricultural and Applied Economics Association.
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    Cited by:

    1. Feng, Hongli & Wang, Tong & Hennessy, David A., 2017. "Perception Biases and Land Use Decisions," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258571, Agricultural and Applied Economics Association.

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