Skip to main content

Advertisement

Log in

Estimating willingness to pay with the stochastic payment card design: further evidence from rural Cameroon

  • Published:
Environment, Development and Sustainability Aims and scope Submit manuscript

Abstract

This study reports new empirical findings of the field test of the stochastic payment card (SPC) design recently proposed by Wang (Contingent valuation of environmental resources: A stochastic perspective, 1997a; Journal of Environmental Economics & Management 32:219–232, 1997b). The purpose is to see how well this new contingent valuation method (CVM) elicitation format works in different cultural contexts, and what lessons can be drawn in general regarding its usefulness in environmental valuation. The survey is designed to estimate willingness to pay (WTP) values for an intended community-based environmental project in rural Cameroon (i.e., the control of malaria using larvivorous eating fish species). In order to estimate the bid function, Heckman’s 2-step method is used to detect, and if possible, correct for sample selection bias, an issue overlooked by the 2-step modeling approach proposed by Wang (1997a). The results suggest generally that in the presence of sample selection bias, Heckman’s 2-step estimates are more efficient and reliable for the public project in question than Wang’s proposed 2-stage modeling approach.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Notes

  1. The main function of the dam is to increase the volume of water into the River Sanaga that supplies Cameroon with hydroelectricity. The dam is located in the Bamendjim community of the Western Province of Cameroon; however, the artificial lake is found in the Ndop area of the Ngoketunjia Division, North West Province, Cameroon.

  2. True zeros correspond to where respondents find the amenity valueless, whereas “protest” zeros, according to Freeman (1993, p. 187), occur when respondents reject some aspects of the constructed market scenario by reporting a zero value even though they place a positive value on the amenity or resource being valued.

  3. The study area, which is one of the 13 communities that make up the entire Ndop clan located in the Ngoketunjia Division of the North West Province, Cameroon. By 2004, Bambalang comprised fifteen quarters with a population estimate of approximately 16,000 inhabitants living some few kilometers away from the lake.

  4. More than 260 species of larvae eating fishes have been used in more than 40 countries in the world to combat 35 different species of mosquitoes (World Environmental Library: Document). Two commonly used species are the Gambusia affinis and Guppy (Poecilia reticulate). They are prolific mosquito breeders and can each consume 200–300 mosquito larvae per day. They are also surface feeders and hence are suitable for consuming floating mosquitoes.

  5. Called community-led financing schemes because a greater part of these schemes are financed from funds raised within the communities. The methods of financing may include user fees, repayment/insurance scheme, commercial schemes, fund rising, and in-kind contributions.

  6. Selected following answers to open-ended questions used in the pilot survey.

  7. Those who always answer “definite no and probably no” or “definite no,” “probably no,” and “not sure” to all the offered prices on the card design.

  8. For brevity, true zeros are not considered in this analysis; however, this category of respondents can be analyzed in CVM surveys using a double hurdle model or a Tobit model with selectivity as in Mekonnen (2000), Alvarez-Farizo et al. (1999), Strazzera et al. (2003b), and Fonta (2006).

  9. According to NOAA’s first guideline for conducting CVM surveys, if a single dichotomous question of the yes/no type is used to elicit valuation questions, a total sample size of 1,000 respondents will limit the sampling error to about 3% plus or minus on a single dichotomous question, assuming simple random sampling (Arrow et al. 1993, p. 46).

  10. At the time of the survey, one US dollar equalled 490 CFA francs.

  11. Given the negligible percentage of true zero bidders in the dataset, we did not consider this group in the analysis.

References

  • Alvarez-Farizo, B., Hanley, N., Wright, R. E., & MacMillian, D. (1999). Estimating the benefits of agri-environmental policy: Econometrics issues in open-ended contingent valuation studies. Journal of Environmental Planning and Management, 42(1), 23–43.

    Article  Google Scholar 

  • Arrow, J. K., Solow, R., Portney, P. R., Leamer, E. E., Radner, R., & Schumand, H. (1993). Report of the NOAA panel on contingent valuation to the general council of the NOAA administration. Washington DC: Resources for the Future.

    Google Scholar 

  • Ataguba, A. J., Ichoku, E. H., & Fonta, M. W. (2008). Estimating the willingness to pay for community healthcare insurance in rural Nigeria. PEP Working Paper No 2008-10, University of Laval, Canada. http//www.pep-net.org/NEW-PEP/Group/papers/wp.htm.

  • Calia, P., & Strazzera, E. (2001). A sample selection model for protest responses in contingent valuation analyses. Statistical, 61(3), 473–485.

    Google Scholar 

  • Fonta, M. W. (2006). Valuation of community-based financing of environmental project: A case study of malaria control in Bambalang, Cameroon. PhD dissertation, Nsukka.

  • Fonta, M. W., & Ichoku, E. H. (2006). Statistical efficiency of the OLS, Heckman’s 2-Step and ML estimators in addressing sample selection bias in social science research. Paper presented at the 11th African Econometric Society (AES) conference on econometric modelling for Africa, July 2006, Dakar, Senegal.

  • Fonta, M. W., & Ichoku, E. H. (2009). The value of managing urban solid waste: A case study of Enugu State, Nigeria. Canadian Journal of Development Studies, 28(3–4) (in press).

  • Fonta, M. W., Ichoku, E. H., Ogujiuba, K. K., & Chukwu, J. (2008). Using a contingent valuation approach for improved solid waste management facility: Evidence from Enugu State, Nigeria. Journal of African Economies, 17(2), 277–304.

    Article  Google Scholar 

  • Fonta, M. W., & Omoke, P. C. (2008). Testing and correcting for sample selection bias in social science research: Application to contingent valuation method survey data. European Journal of Social Sciences, 6(2), 232–243.

    Google Scholar 

  • Freeman, A. M. (1993). The measurement of environmental and resource values: Theory and method. Washington DC: Resources for the Future.

    Google Scholar 

  • Heckman, J. J. (1979). Sample selection bias as a specification error. Econometrica, 47, 153–162.

    Article  Google Scholar 

  • Ichoku, E. H., Fonta, M. W., & Kedir, M. A. (2007). Measuring individuals’ valuation distribution using a stochastic payment card approach: Application to solid waste management in Nigeria. Environment, Development and Sustainability. doi:10.1007/s10668-007-9127-y.

  • Koenker, J. (2004). Tobit, sample selection, and truncation: Economics 508, Lecture 18. Department of Economics. University of Illinois, USA. http://www.google.com.

  • Mekonnen, A. (2000). Valuation of community forestry in Ethiopia: A contingent valuation study of rural households. Environment and Development Economics, 5, 289–308.

    Article  Google Scholar 

  • Melino, A. (1982). Testing for sample selection bias. The Review of Economic Studies, 9(1), 151–153.

    Article  Google Scholar 

  • McClelland, G., Schulze, W., Waldman, D., Schenk, D., Irwin, J., Steward, T., Deck, L., & Thayer, M. (1993). Valuing eastern visibility: A field test of the contingent valuation method. Report prepared by University of Colorado under (U.S.E.P.A.) cooperative agreement No. CR-815183, Washington, DC

  • Strazzera, E., Genius, M., Scarpa, R., & Hutchinson, G. (2003a). The effect of protest votes on the estimates of WTP for use values of recreational sites. Environmental and Resource Economics, 25, 461–476.

    Article  Google Scholar 

  • Strazzera, E., Scarpa, R., Calia, P., Garrod, D. G., & Willis, G. K. (2003b). Modelling zero values and protest responses in contingent valuation surveys. Applied Economics, 35, 133–138.

    Article  Google Scholar 

  • Vella, F. (1992). Simple test for sample selection bias in censored and discrete choice models. Journal of Applied Econometrics, 7(4), 413–421.

    Article  Google Scholar 

  • Wang, H. (1997a). Contingent valuation of environmental resources: A stochastic perspective. Ph.D. thesis, University of North Carolina at Chapel Hill.

  • Wang, H. (1997b). Treatment of don’t-know response in contingent valuation surveys: A random valuation model. Journal of Environmental Economic and Management, 32, 219–232.

    Article  Google Scholar 

  • Wang, H., Laplante, B., Wu, X., & Meisner, C. (2004). Estimating willingness-to-pay with random valuation models: An application to Lake Sevan, Armenia. World Bank Policy Research Working Paper No 3367, Washington, DC: World Bank.

  • Wang, H., & Whittington, D. (2000). Willingness to pay for air quality improvement in Sofia, Bulgaria. World Bank Policy Research Working Paper No 2280, Washington, DC: World Bank.

  • Wang, H., & Whittington, D. (2005). Measuring individuals’ valuation distribution using a stochastic payment card approach’. Ecological Economics, 55(2), 143–154.

    Article  Google Scholar 

  • Winship, C., & Mare, D. R. (1992). Models for Sample Selection Bias. Annual Review of Sociology, 18, 327–350.

    Article  Google Scholar 

Download references

Acknowledgements

The authors are extremely grateful to E. Strazzera and H. Wang for their invaluable guidance and assistance while preparing the final Dissertation from which this paper is derived. The helpful suggestions and comments from Prof. A. O. Okore (Late) and Apia E. Okorafor are gratefully acknowledged. We equally thank the Editor and an anonymous referee whose comments and suggestions have helped greatly to improve the quality of this paper. The study from which this paper is derived was generously funded by the African Economic Research Consortium (AERC). However, the views and opinions expressed in the article are those of the authors and not of the consortium. Usual caveat applies.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to William Munpuibeyi Fonta.

Additional information

Readers should send their comments on this paper to: BhaskarNath@aol.com within 3 months of publication of this issue.

Except of the SPC WTP scenario

Except of the SPC WTP scenario

As you may be aware, malaria is a major health problem in Bambalang. The main cause of this is the site and location of the Bamendjim dam. The government is facing serious financial crisis, and therefore, lacks money to eradicate the disease in the community. One option that is quite feasible is for the members of this community to come together and initiate a kind of scheme called community-led financing scheme. It is what is done in most communities in the world to fight against poverty and diseases eradication. For the scheme to be implemented and managed, each member is expected to contribute financially or in kind for a stipulated period into a central fund managed by elected community members. If this is done, the money will be used to buy and nurse mosquito larvae eating fish species that can be used to completely eradicate mosquitoes in Bambalang.

Several advantages would accrue to Bambalang if the scheme is implemented. Some of these advantages include reduced medical expenditures for households, enhancement in the learning ability of children, increased life expectancy, reduction in adult and infant mortality rates, increased productivity of households, more savings, increased fish productivity, employment opportunities in the form of fish farming, and most importantly, the scheme would attract development assistance from several donor agencies, which implies more access to funds for the community members.

Please it is very important to first think of your monthly income and expenditure on other basic items before suggesting which price your household would be WTP to support the realization of the malaria control scheme. Suppose the amounts given on the left hand column (in Francs CFA) indicate an increase in household expenditure (assuming for say four times in a year), to help finance the implementation of the scheme in Bambalang, how likely is it you would vote for a plan to help implement the new scheme in Bambalang?

Enumerator: instruct respondent to circle an answer for each of the six prices

Cost to household (in franc CFA)

Definitely no (%)

Probably no (%)

Not sure (%)

Probably yes (%)

Definitely yes (%)

0

0

25

50

75

100

200

0

25

50

75

100

400

0

25

50

75

100

600

0

25

50

75

100

800

0

25

50

75

100

1000

0

25

50

75

100

Rights and permissions

Reprints and permissions

About this article

Cite this article

Fonta, W.M., Ichoku, H.E. & Ogujiuba, K.K. Estimating willingness to pay with the stochastic payment card design: further evidence from rural Cameroon. Environ Dev Sustain 12, 179–193 (2010). https://doi.org/10.1007/s10668-009-9188-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10668-009-9188-1

Keywords

Navigation