Evaluating Willingness to Sell Vegetation in the White Volta Basin in Northern Ghana

Gandaa, Z, Bizoola *

University for Development Studies, Tamale, Ghana.

*Author to whom correspondence should be addressed.


Concepts of ecosystem services have been developed to make explicit connections between human welfare and ecological sustainability for policy, development, and conservation initiatives. Economic concepts such as the distinction between prices and values, and the acknowledgment of their values are context-specific which may change across space and time. Contingent valuation is a survey-based economic technique for valuing non-market resources, such as vegetation. This method is often used to establish the amount people are willing to be compensated for maintaining the existence of an environmental feature such as a tree, shrub, or grass. The level of importance attached to provisioning services as well as cultural services and cultural heritage differ in the rural communities hence different cash values attached. It is often perceived that rural community members do not put monetary value on vegetation, the study is therefore aimed at establishing monetary value rural communities have value for vegetation. The study was conducted in two irrigated and two unirrigated landscapes consisting of about 54 communities and comprising 240 respondents. Participatory Rural Appraisal tools were used. Random Utility Theory was applied and used for the analysis. The willingness to sell vegetation was significant at a 5% confidence level concerning native, sex, age, education, and household head. Marital status was, however, not significant in all the landscapes. The price trend is observed to be across a landscape, from the catchment to the downstream ecosystem.

Keywords: Contingent valuation, vegetation, ecosystem services, rural community, livelihood

How to Cite

Bizoola, Gandaa, Z,. 2024. “Evaluating Willingness to Sell Vegetation in the White Volta Basin in Northern Ghana”. International Journal of Environment and Climate Change 14 (7):277-87. https://doi.org/10.9734/ijecc/2024/v14i74269.


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