Econometric estimation of the surplus of the consumer of recreational environmental services

Authors

  • Isaí Mendoza-Martínez Consultor/Investigador independiente. Camino a Bosque la Siberia S/N, Colonia San Luis Huexotla, Texcoco, Estado de México. CP. 56220. Tel. 595 1092064
  • Blanca Estela Ponce-Gutiérrez Departamento de Contaduría y Finanzas-Instituto Tecnológico de Sonora. Avenida 5 de febrero 818 Sur, Col. Centro, Ciudad Obregón, Sonora, México. CP. 85000. Tel. 644 4100900, ext. 1727
  • Ramón Valdivia-Alcala Universidad Autónoma Chapingo. Carretera México-Texcoco km 38.5. Texcoco, Estado de México. CP. 56230. Tel. 595 9521500, ext. 1668
  • Fermín Sandoval-Romero División de Ciencias-Administrativas-Universidad Autónoma Chapingo. Carretera México-Texcoco km 38.5, Texcoco, Estado de México. CP. 56230. Tel. 595 9521500, ext. 1668

DOI:

https://doi.org/10.29312/remexca.v16i5.3706

Keywords:

public goods, Poisson regression, truncated dependent variable

Abstract

Public goods, such as forests, rivers, lakes, or dams, provide recreational services that lack market prices. This research aimed to estimate the consumer surplus proposed by the microeconomic theory to make a valuation of recreational environmental services using the individual travel cost methodology. The sample used consisted of 213 observations and was collected in four recreational sites located in the area of the La Boquilla Dam, municipality of Camargo, Chihuahua within the Conchos River basin in 2019. The method used for econometric estimation was the Poisson regression model since the number of visits to the site is a count variable. The average surplus benefit per visitor was MX$33.12 (US$1.72). The research assumed an influx of 300 000 visitors, so the value of the recreational environmental service generated by the La Boquilla Dam in the year the research was carried out (2019) would have been MX$9 936 000 (US$515 888). It is concluded that the Poisson model is the one that best fits the count data obtained through the travel cost method and that the results could be useful to guide the design of environmental policies.

Downloads

Download data is not yet available.

References

Bibliografía

Blaine, T. W.; Lichtkoppler, F. R.; Bader, T. J.; Hartman, T. J. and Lucente, J. E. 2015. An examination of sources of sensitivity of consumer surplus estimates in travel cost models. Journal of Environmental Management. 151(3):427-436. Doi:10.1016/j.jenvman.2014.12.033.

Boyle, K. J. 2003. Introduction to revealed methods. In: Champ, P. A.; Boyle, J. K. and Brown, C. T Ed. Springer.

Cameron, A. C. and Trivedi, P. K. 2013. Regression analysis of count data. Cambridge University Press. 598 p.

Coxe, S.; West, S. G. and Aiken, L. S. 2019. Applied count data analysis. Guilford Press.

Dixon, J. y Pagiola, S. 1998. Análisis económico y evaluación ambiental. Environmental Assessment Source Book. The World Bank. https://documents1.worldbank.org/curated/en/505811468149073439/pdf/WTP1400SPANISH10Box338902B01PUBLIC1.pdf.

Edwards, P. E. T.; Parsons, G. R. and Myers, K. H. 2011. The economic value of viewing migratory shorebirds on Delaware Bay: an application of the single site travel cost model using on-site data. Human Dimensions of Wildlife. 16(6):435-444. Doi:10.1080/10871209.2011.608180.

Freeman, M.; Herriges, J. A. and Kling, C. L. 2014. The measurement of environmental and resource values. Third Ed. RFF Press.

Greene, W. H. 2018. Econometric analysis 8th Ed. Pearson. 1176 p.

Grilli, G.; Landgraf, G.; Curtis, J. and Hynes, S. 2019. A travel cost evaluation of the benefits of two destination salmon rivers in Ireland. Journal of Outdoor Recreation and Tourism. 25(1):1-7. https://doi.org/10.1016/j.jort.2018.10.003.

Hernández, T. V.; Avilés, P. G.; Ponce, D. G. y Lluch, B. D. 2017. Estimación de cuotas diferenciadas para permisos de pesca deportiva en Los Cabos, México. Un enfoque de costo de viaje. Economía. Teoría y Práctica. Nueva Época. 46:17-36. http://dx.doi.org/10.24275/etypuam/ne/542021/solis.

Hilbe, J. M. 2014. Modeling count data. Cambridge University Press, New York, USA. 300 p.

Kipperberg, G.; Onozaka, Y.; Bui, L. T.; Lohaugen, M.; Refsdal, G. and Sæland, S. 2019. The impact of wind turbines on local recreation: evidence from two travel cost method-contingent behavior studies. Journal of Outdoor Recreation and Tourism. 25(1):66-75. Doi:https://doi.org/10.1016/j.jort.2018.11.004.

Limaei, S. M.; Ghesmati, H.; Rashidi, R. and Yamini, N. 2014. Economic evaluation of natural forest park using the travel cost method (case study; Masouleh forest park, north of Iran. Journal of Forest Science. 60(6):254-261. Doi:10.17221/84/2013-JFS.

Morales, Z. M. V.; Almendarez, H. M. A.; Sánchez, B. I. y Salinas, Z. C. A. 2019. Valoración económica del servicio ecosistémico recreativo de playa en Los Cabos, Baja California Sur (BCS), México: una aplicación del método de costo de viaje. El Periplo Sustentable. 36:447-469. https://www.scielo.org.mx/pdf/eps/n36/1870-9036-eps-36-447.pdf.

Parsons, G. R. and Myers, K. 2022. Individual travel cost method with endogenous stratification: a semiparametric approach. Land Economics. 98(1):65-85. Doi:https://doi.org/10.3368/le.98.1.65.

Rubio, A. H. O.; Ortiz, D. R. C.; Quintana, M. R. M.; Saucedo, T. R. A.; Ochoa, R. J. M. y Rey, B. N. I. 2014. Índice de calidad de agua (ICA) en la presa La Boquilla en Chihuahua, México. Ecosistemas y Recurso Agropecuarios. 1(2):139-150. https://www.scielo.org.mx/pdf/era/v1n2/v1n2a5.pdf.

Voltaire, L.; Lévi, L.; Alban, F. and Boncoeur, J. 2020. Valuing cultural world heritage sites: An application of the travel cost method to Mont-Saint-Michel. Applied Economics. 52(16):1758-1774. Doi: https://doi.org/10.1080/00036846.2019.1677839.

Wilman, E. A. and Pauls, R. J. 1987. Sensitivity of consumers’ surplus estimates to variation in the parameters of the travel cost model. Canadian Journal of Agricultural Economics. 35:197-2012.

Winkelmann, R. 2021. Econometric analysis of count data 6th Ed. Springer. 282 p.

Zeileis, A.; Kleiber, C. and Jackman, S. 2020. Regression models for count data in R. Journal of Statistical Software. 27(8):1-25. Doi:https://doi.org/OI:10.18637/jss.v027.i08.

Published

2025-07-31

How to Cite

Mendoza-Martínez, Isaí, Blanca Estela Ponce-Gutiérrez, Ramón Valdivia-Alcala, and Fermín Sandoval-Romero. 2025. “Econometric Estimation of the Surplus of the Consumer of Recreational Environmental Services”. Revista Mexicana De Ciencias Agrícolas 16 (5). México, ME:e3706. https://doi.org/10.29312/remexca.v16i5.3706.

Issue

Section

Articles

Most read articles by the same author(s)