Kenya
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EfD aims to support a new generation of engaged researchers based in the Global South. In this magazine you will find stories of the work carried out at our EfD centers across the world. First: In…
Women Collecting Water in Rural Kenya Report They Would Prefer Doing Other Activities.
The Global Green Growth Institute ( GGGI ) and the Green Growth Knowledge Platform ( GGKP ) have issued a Call for Papers for the Seventh GGKP Annual Conference ( #GGKP7 ). The conference will focus…
To expand and maintain water supply infrastructure in rural regions of developing countries, planners and policymakers need better information on the preferences of households who might use the sources. What is the relative importance of price, distance and quality in a households decision to use a source? If a water source increases fees, perhaps to cover maintenance or planned replacement, how will the total amount of water abstracted and revenue collected change?
The 24th Annual Conference of the European Association of Environmental and Resource Economists will take place in Manchester in June 2019. The University of Manchester will be hosting this year's…
This year’s conference theme will be: Catalyzing Innovation. The Land and Poverty conference presents the latest research and innovations in policies and good practice on land governance around the…
The EfD Annual Meeting is the largest annual conference in the Global South on the application of environmental economics to development. The EfD Annual Meeting will be held in Bogotá, Colombia, on 21…
This study estimates the optimal rotation period of various tree species in Kenya and applies it in the management of lumbering forests through optimal synchronization of forest plantations to achieve a steady supply to lumbering firms. The optimal rotation period of three tree species, pine, cypress, and eucalyptus, was estimated using data from Kenya Forest Service. A combined application of Chang simple production model and Faustmann model reveals the optimal biological harvest age is 25 years for pine, 25 years for cypress, and 14 years for eucalyptus.
This paper estimates the recreational value and optimal pricing for recreation services in the Maasai Mara National Park in Kenya. To achieve this objective, data from 323 Park visitors were collected. Single-site individual travel cost method (ITCM) using count data models [zero truncated Poisson (ZTP), zero truncated negative binomial (ZTNB), negative binomial with endogenous stratification (NBSTRAT), and Poisson with endogenous stratification (PSTRAT)] was applied.