Measuring the welfare effects of forests: an application of the travel cost model

2019 ◽  
Vol 25 (3) ◽  
pp. 244-266
Author(s):  
Martha Rogers

AbstractIn this paper, a travel cost model was applied to the case of firewood collection to assess how the inclusion of household fixed effects and how assumptions regarding conditions in the local labor market impacted resulting welfare estimates. To assess these impacts, a unique household panel data set from Kagera, Tanzania was used. It was estimated that, under the assumption of constrained labor markets, households in the Kagera region of Tanzania are willing-to-pay, on average, $120 per year (2016 USD) for access to local forests. These estimated figures were nearly 50 per cent higher when household fixed effects were excluded and nearly 10 per cent higher under the assumption of perfect labor markets. In addition, these results support previous research showing that, in many developing countries, households' demand for firewood is inelastic and that households would be willing to spend a significant amount of their resources on forest access.

Author(s):  
Kavita Sardana ◽  
John C. Bergstrom ◽  
J. M. Bowker

Abstract We estimate a travel cost model for the George Washington & Jefferson National Forests using an On-Site Latent Class Poisson Model. We show that the constraints of ad-hoc truncation and homogenous preferences significantly impact consumer surplus estimates derived from the on-site travel cost model. By relaxing the constraints, we show that more than one class of visitors with unique preferences exists in the population. The resulting demand functions, price responsive behaviors, and consumer surplus estimates reflect differences across these classes of visitors. With heterogeneous preferences, a group of ‘local residents’ exists with a probability of 8% and, on average take 113 visits.


2020 ◽  
Vol 20 (2) ◽  
pp. 7
Author(s):  
Waldemar Mercado ◽  
Felipe Vásquez Lavín ◽  
Karina Ubillus ◽  
Carlos Enrique Orihuela

<div data-canvas-width="450.13143999999994">The aim was to determine the importance of the biodiversity on the decision to visit six Natural Parks of Peru. For this, a sample of tourists and the discrete travel cost model are used to estimate the demand of multiple places with different attributes. The results confirm that the probability of choice depends on the access routes, the biodiversity, the distance, and the cost of the trip. The effect of the biodiversity is less important than that of access routes. A conservation policy that considers these attributes will be key for the management of the biodiversity.</div>


1996 ◽  
Vol 78 (3) ◽  
pp. 640-646 ◽  
Author(s):  
John R. McKean ◽  
Richard G. Walsh ◽  
Donn M. Johnson

1987 ◽  
Vol 63 (2) ◽  
pp. 179 ◽  
Author(s):  
V. Kerry Smith ◽  
Yoshiaki Kaoru

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