Potential Cost-Effectiveness of Incentive Payment Programs for the Protection of Non-Industrial Private Forests
This study assesses the potential cost-effectiveness of incentive payment programs relative to traditional, top-down regulatory programs for biological conservation. We develop site-level estimates of the opportunity cost and non-monetized biological benefits of protecting biodiversity hotspots in Finnish non-industrial private forests. We then use these estimates to contrast and compare the cost-effectiveness of alternative conservation programs. Our results suggest that incentive payment programs, which tacitly capitalize on landowners’ private knowledge about the opportunity costs of conservation, may be considerably more cost-effective than traditional, top-down regulatory programs.
References listed on IDEAS
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- Lori Lynch & Sabrina J. Lovell, 2003. "Combining Spatial and Survey Data to Explain Participation in Agricultural Land reservation Programs," Land Economics, University of Wisconsin Press, vol. 79(2), pages 259-276.
- Siikamaki, Juha & Layton, David F., 2007. "Discrete choice survey experiments: A comparison using flexible methods," Journal of Environmental Economics and Management, Elsevier, vol. 53(1), pages 122-139, January.
- Feenberg, Daniel & Skinner, Jonathan, 1994.
"The Risk and Duration of Catastrophic Health Care Expenditures,"
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- Daniel Feenberg & Jonathan Skinner, 1992. "The Risk and Duration of Catastrophic Health Care Expenditures," NBER Working Papers 4147, National Bureau of Economic Research, Inc.
- Joseph C. Cooper, 2003. "A Joint Framework for Analysis of Agri-Environmental Payment Programs," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(4), pages 976-987.
- Cooper, Joseph C., 2001. "A Joint Framework for Analysis of Agri-Environmental Payment Programs," 2001 Annual meeting, August 5-8, Chicago, IL 20493, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
- Klaus Moeltner & David F. Layton, 2002. "A Censored Random Coefficients Model For Pooled Survey Data With Application To The Estimation Of Power Outage Costs," The Review of Economics and Statistics, MIT Press, vol. 84(3), pages 552-561, August.
- David F. Layton & Klaus Moeltner, 2000. "A Censored Random Coefficients Model for Pooled Survey Data with Application to the Estimation of Power Outage Costs," Econometric Society World Congress 2000 Contributed Papers 0912, Econometric Society.
- McCulloch, Robert & Rossi, Peter E., 1994. "An exact likelihood analysis of the multinomial probit model," Journal of Econometrics, Elsevier, vol. 64(1-2), pages 207-240. Full references (including those not matched with items on IDEAS)
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