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To Invest or Sell? The Impacts of Ontario’s Greenbelt on Farm Exit and Investment Decisions

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  • Na Li
  • Richard J. Vyn
  • Ken McEwan

Abstract

This article examines the impact that Ontario’s Greenbelt legislation, a farmland preservation policy implemented in 2005 that permanently protects over 1.8 million acres of land from non-agricultural development, has on farmers’ exit and investment decisions. There are conflicting hypotheses regarding the impacts that farmland preservation could have on farmers’ management decisions with respect to investment or disinvestment, and there is a lack of evidence in the literature regarding the nature of such impacts. To address this issue, this article uses a farm-level panel data set to estimate the impacts of the Greenbelt policy on farm exit and on farm investment. The Greenbelt policy is found to have influenced both farm exit and farm investment decisions, with the impact varying depending on location within the Greenbelt. In particular, the results indicate evidence of a negative impact on farm investment, which is contrary to one of the objectives of the Greenbelt policy.

Suggested Citation

  • Na Li & Richard J. Vyn & Ken McEwan, 2016. "To Invest or Sell? The Impacts of Ontario’s Greenbelt on Farm Exit and Investment Decisions," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 38(3), pages 389-412.
    • Handle: RePEc:oup:apecpp:v:38:y:2016:i:3:p:389-412.
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    File URL: http://hdl.handle.net/10.1093/aepp/ppw017
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    1. Rabe-Hesketh, Sophia & Skrondal, Anders, 2013. "Avoiding biased versions of Wooldridge’s simple solution to the initial conditions problem," Economics Letters, Elsevier, vol. 120(2), pages 346-349.
    2. B. James Deaton & Richard J. Vyn, 2010. "The Effect of Strict Agricultural Zoning on Agricultural Land Values: The Case of Ontario's Greenbelt," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(4), pages 941-955.
    3. Jeffrey M. Wooldridge, 2005. "Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 39-54, January.
    4. Mary Clare Ahearn & Jet Yee & Penni Korb, 2005. "Effects of Differing Farm Policies on Farm Structure and Dynamics," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(5), pages 1182-1189.
    5. Catherine Benjamin & Euan Phimister, 2002. "Does Capital Market Structure Affect Farm Investment? A Comparison using French and British Farm-Level Panel Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(4), pages 1115-1129.
    6. Fengxia Dong & David A. Hennessy & Helen H. Jensen, 2010. "Contract and Exit Decisions in Finisher Hog Production," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(3), pages 667-684.
    7. Puhani, Patrick A., 2012. "The treatment effect, the cross difference, and the interaction term in nonlinear “difference-in-differences” models," Economics Letters, Elsevier, vol. 115(1), pages 85-87.
    8. Susan Athey & Guido W. Imbens, 2006. "Identification and Inference in Nonlinear Difference-in-Differences Models," Econometrica, Econometric Society, vol. 74(2), pages 431-497, March.
    9. Sakellaris, Plutarchos, 2004. "Patterns of plant adjustment," Journal of Monetary Economics, Elsevier, vol. 51(2), pages 425-450, March.
    10. Stephan J. Goetz & David L. Debertin, 2001. "Why Farmers Quit: A County-Level Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(4), pages 1010-1023.
    11. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.
    12. Lori Lynch & Wayne Gray & Jacqueline Geoghegan, 2007. "Are Farmland Preservation Program Easement Restrictions Capitalized into Farmland Prices? What Can a Propensity Score Matching Analysis Tell Us?," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 29(3), pages 502-509.
    13. Ruth Vargas Hill, 2010. "Investment and Abandonment Behavior of Rural Households: An Empirical Investigation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(4), pages 1065-1086.
    14. Herron, Michael C., 1999. "Postestimation Uncertainty in Limited Dependent Variable Models," Political Analysis, Cambridge University Press, vol. 8(1), pages 83-98, January.
    15. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
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    Cited by:

    1. Frimpong, Eugene & Petrolia, Daniel & Harri, Ardian, 2018. "Does the Community Rating System Work? Evidence from Two Gulf Coast States," Working Papers 273014, Mississippi State University, Department of Agricultural Economics.

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