Abstract
Contingent valuation method (CVM) is widely applied to value environmental goods and services. Initially developed in developed countries, CVM now is also widely applied in developing countries. However, in many cases, value estimates from CVM studies carried out in developing countries are smaller than expectations. One possible explanation for this phenomenon is that people in developing countries may have different preferences toward environmental goods and services. Another explanation argues that it is effect of poverty on the valuation, i.e., effect of limited income instead of deficiencies in preferences. A suggestion to resolve the problem according to the latter argument is by using nonmonetary contribution as payment vehicle. Following this argument, this paper reports result of CVM surveys using working time without pay (or called willingness to work, WTW) in addition to standard monetary contribution (or called willingness to pay, WTP) implemented for a contingent scenario to avoid deforestation and forest degradation in Segah watershed in Berau District, East Kalimantan, Indonesia. Both WTP and WTW are elicited in open-ended format, i.e., directly asking respondents about their maximum contributions for the proposed program. Results show that in terms of WTP, respondents’ average benefit from the proposed project is Rp124,088 for onetime payment, whereas average WTW is 20.25 days per year. When WTW is converted to WTP using casual daily wage, it turns out that WTW is 8.15 times higher than WTP. The results confirm findings of previous studies that value estimated in terms of WTW is substantially higher than WTP. In addition, among similar sets of socioeconomic and forest use variables, variables of income, gender, family having baby, living in mixed tribe villages, and extent of using river services are significant determinants for WTP, whereas migration, living in mixed tribe villages, extent of using forests, practicing ritual related to forests, having gardens located in forests, and belief in the scenario applicability are significant determinants for WTW. Although determinants of the WTP and WTW are found to be different, in general the variables exhibit expected signs, which shows validity of the model. Therefore, the finding supports for using nonmonetary contribution for CVM study implemented in developing countries, especially in community with limited cash income.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Abramson, A., Becker, N., Garb, Y., & Lazarovitch, N. (2011). Willingness to pay, borrow, and work for rural water service improvements in developing countries. Water Resources Research, 47, W11512.
Alam, K. (2013). Factors affecting public participation in river ecosystem restoration: Using the contingent valuation method. The Journal of Developing Areas, 47(1), 223–240.
Arbiol, J., Borja, M., Yabe, M., Nomura, H., Gloriani, N., & Yoshida, S. (2013). Valuing human leptospirosis prevention using the opportunity cost of labor. International Journal of Environmental Research and Public Health, 10, 1845–1860.
Arifin, B., Swallow, B., Sutanto, & Coe, R. (2008). A conjoint analysis of farmer preferences for community forestry contracts in the Sumber Jaya Watershed, Indonesia. ICRAF Working Paper 63. Nairobi, Kenya: World Agroforestry Centre.
Casey, J. F. (2003). Partners in forest conservation: “Willingness to work” to protect local forest resources in Calakmul, Campeche, Mexico. Problemas del Desarrollo, 34(135), 125–142.
Girma, W. & Beyene, F. (2012). Willingness to contribute to collective forest management: Evidence from Godere in the Gambela Region of Ethiopia. The Journal of Socio-Economics, 41, 79–86.
Gorkhali, S. P. (2009). Economic Analysis of Infrastructure Investments: National Benefits and Local Costs- Case Study of a Hydropower Project in Nepal. Göttingen, Germany: Cuvillier Verlag.
Hardner, J. J. (1996). Measuring the value of potable water in partially monetized rural economies. Water Resources Bulletin, 32(6), 1361–1366.
Hung, L. T., Loomis, J. B., & Thinh, V. T. (2007). Comparing money and labour payment in contingent valuation: The case of forest fire prevention in Vietnamese context. Journal of International Development, 19, 173–185.
Kiefer, S. (2014). Are Riding Club Members Willing to Pay or Work for an Overall Quality Improvement. Discussion Paper DP-IO 1/2014, Institute for Organizational Economics, Muenster University, Germany.
Ninan, K. N. & Sathyapalan, J. (2005). The economics of biodiversity conservation: A study of coffee growing region in the Western Ghats of India. Ecological Economics, 55, 61–72.
Notaro, S. & Paletto, A. (2011). Links between mountain communities and environmental services in the Italian Alps. Sociologia Ruralis, 51(2), 137–157.
Pokou, K., Kamuanga, M. J-B., & N’Gbo, A. G. M. (2010). Farmers’ willingness to contribute to tsetse and trypanosomosis control in West Africa: The case of northern Cote d’Ivoire. Biotechnology, Agronomy, Society, and Environment, 14(3), 441–450.
Saxena, A. K., Bisht, N. S., & Singh, C. J. (2008). The value of the Indian gazelle (Gazella gazelle): A case study in Haryana, India. The Indian Forester, 134(10), 1289–1295.
Schiappacasse, I., Vasquez, F., Nahuelhual, L., & Echeverria, C. (2013). Labor as a welfare measure in contingent valuation: The value of a forest restoration project. Cience e Investigacion Agraria, 40(1), 69–84.
Tilahun, M., Vranken, L., Muys, B., Deckers, J., Gebregziabher, K., Gebrehiwot, K., Bauer, H., & Mathijs, E. (2012). Rural Households’ Demand for Frankincense Forest Conservation in Tigray: A Contingent Valuation Analysis. Bioeconomics Working Paper 2012/2. Leuven, Belgium: Department of Earth and Environmental Sciences, University of Leuven.
Vondolia, G. K., Eggert, H., Navrud, S., & Stage, J. (2011). What Do Respondents Bring to Contingent Valuation? A Comparison of Monetary and Labor Payment Vehicles. Environment for Development Discussion Paper Series No. DP 11–13. Gothenburg, Sweden: University of Gothenburg & Washington, USA: Resource for the Future.
Shyamsundar, P. & Kramer, R. A. (1996). Tropical forest protection: An empirical analysis of the costs borne by local people. Journal of Environmental Economics and Management, 31, 129–144.
Brekke, K. A. (1997). The numėraire matters in cost-benefit analysis. Journal of Public Economics, 64, 117–123.
Ahlheim, M., Frör, O., Heinke, A., Duc, N. M., & Dinh, P. V. (2010). Labour as a utility measure in contingent valuation studies: How good is it really? FZID Discussion Paper No. 13–2010. Stuttgart, Germany: Center for Research on Innovation and Services, University of Hohenheim.
Johansson, P.-O. (1998). Does the choice of numeraire matter in cost-benefit analysis? Journal of Public Economics, 70, 489–493.
Haab, T. C. & McConnell, K. E. (2002). Valuing Environmental and Natural Resources: The Econometrics of Non-Market Valuation. Cheltenham, UK & Northampton, MA, USA: Edward Elgar.
Solikin, A. (2014). Willingness to pay to avoid deforestation and forest degradation: Evidence from Berau District, Indonesia. Proceeding the 5th International Conference on Global Resource Conservation (ICGRC) 2014, pp. 53–56. Batu, East Java, Indonesia: Faculty of Mathematics and Natural Science, University of Brawijaya.
Ahmed, S. U. & Gotoh, K. (2007). The choice of elicitation methods in CVM and their impact on willingness to pay in environmental assessment. Reports of the Faculty of Engineering Nagasaki University, 37(68), 47–52.
Bennett, R. & Tranter, R. (1998). The dilemma concerning choice of contingent valuation willingness-to-pay elicitation format. Journal of Environmental Planning and Management, 41(2), 253–257.
Brouwer, R., Brander, L., & van Beukering, P. (2008). “A convenient truth”: Air travel passengers’ willingness to pay to offset their CO2 emissions. Climatic Change, 90, 299–313.
Field, A. (2009). Discovering Statistics Using SPSS (3rd ed.). London, UK: Sage.
Bandara, R. & Tisdell, C. (2003). The Net benefits of Saving the Asian Elephant: A Policy and Contingent Valuation Study. Economics, Ecology and the Environment Working Paper No. 87. School of Economics, The University of Queensland, Australia.
Bateman, I. J., Carson, R. T., Day, B., Hanemann, M., Hanley, N., Hett, T., … Swanson, J. (2002). Economic Valuation with Stated Preference Techniques: A Manual. Cheltenham, UK/Northampton, MA, USA: Edward Elgar.
Whittington, D. (2010). What have we learned from 20 years of stated preference research in less-developed countries? Annual Review of Resource Economics, 2, 209–236.
Das, D. & Mahanta, R. (2013). Willingness to spend labour hour for biodiversity conservation: A case study with special reference to village forest dwellers and encroachers in Assam. Journal of Biodiversity, 4(1), 45–51.
Acknowledgements
The author would like to express special thanks to Government Financial Management and Revenue Administration Project (GFMRAP) for providing financial supports to undertake this research. Financial and administrative assistances from Fiscal Policy Agency Secretariat which enable the author to present this research in the 2nd ICOSI conference are also appreciated.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer Science+Business Media Singapore
About this paper
Cite this paper
Solikin, A. (2017). Willingness to Pay and Willingness to Work to Avoid Deforestation and Forest Degradation. In: Taufik, T., et al. ICoSI 2014. Springer, Singapore. https://doi.org/10.1007/978-981-287-661-4_14
Download citation
DOI: https://doi.org/10.1007/978-981-287-661-4_14
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-287-660-7
Online ISBN: 978-981-287-661-4
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)