Rural development through carbon finance : forestry projects under the clean development mechanism of the Kyoto Protocol assessing smallholder participation by structural equation modeling
Author(s)
Bibliographic Information
Rural development through carbon finance : forestry projects under the clean development mechanism of the Kyoto Protocol assessing smallholder participation by structural equation modeling
（Development economics and policy / edited by Franz Heidhues, v. 62）
P. Lang, c2009
Available at 2 libraries
Note
Originally presented as the author's thesis (doctoral) -- Justus-Liebig-University Gießen, 2008
Includes bibliographical references (p. [180]-194)
Description and Table of Contents
Description
In a timely contribution to the international discussion of the post-Kyoto climate regime this study hypothesizes that Clean Development Mechanism (CDM) projects in the land use and forestry sector are an efficient instrument for climate change mitigation that contributes to rural development and poverty alleviation at the same time. To this end, the study analyzes socio-economic aspects of a forestry project established under the CDM rules considering an East African case study exemplarily. An agricultural household survey in Tanzania delivered the empirical data for the structural equation model at the center of the analysis. Looking at different farm assets it is shown that the benefits of land use-related climate projects go way beyond pure mitigation. They also have a positive impact on a very broad asset base on which poor farm households depend. Hence, the current CDM only allowing for afforestation and reforestation projects is far too restricted to deliver on its twin objective.
Table of Contents
Contents: International Climate Regime, its Clean Development Mechanism (CDM) and the Link to Rural Development – Land Use, Land-Use Change and Forestry Projects under the CDM – Carbon Sequestration Projects and the Framework of ‘Payments for Environmental Services’ – Carbon Mitigation and Developmental Benefits of Forestry Projects – Case Study in Tanzania – Agricultural Household Survey – Adoption of Carbon Farming – Structural Equation Modeling (SEM) Representing Farmer Decisions – Asset-based Project Impacts.
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