Panel estimators that combine travel cost and contingent behavior data sets for evaluating protected areas

Authors

  • Antonio Kido
  • Andrew Seidl
  • John Loomis

Abstract

Although conservation policies and practices have always been
influenced by political and economic factors, economic analysis
has played a limited role in conservation decision-making until
recent years. Many people are realizing that the fundamental
forces driving the loss of biological diversity (e.g. land conversion
and over-exploitation of natural parks) have economic roots. This
paper extends a fairly conceptual innovation used by Cameron
(1992) for measuring impure public goods. A model was developed
using the information of a travel cost set and a contingent behavior
set by imposing restrictions in the cross-equation parameters
without losing consistency in the utility function specified. The
present value of tourism visits to the monarch butterfly sanctuary
using the probit model was calculated from a range of discount
rate options. This present value ranges from 35 to 80 million
dollars. The own-price elasticity for the model using admission
fees was also estimated for calculating the revenue-maximizing
admission fee. The optimal entrance fee from the landowners’
perspective was calculated at 15 dollars.

Published

2005-06-06

How to Cite

Kido, A., Seidl, A., & Loomis, J. (2005). Panel estimators that combine travel cost and contingent behavior data sets for evaluating protected areas. Agricultura, Sociedad Y Desarrollo, 2(2), 75–82. Retrieved from https://www.revista-asyd.org/index.php/asyd/article/view/1043