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Linking Agricultural Land-use Change And Climate Change Adaptation: A Micro-economic Review | 12121
ISSN: 2157-7617
Journal of Earth Science & Climatic Change
Open Access
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T
he imperative of land-use change for climate change adaptation in the agriculture sector has a considerable potential to
jeopardize the sustainability of ecosystems? functions, particularly for small-scale farmers in the most vulnerable agro-
ecological systems where such functions are key to livelihoods sustainability. According to the IPCC, effective climate change
adaptation strategies are expected to recognize land-use sustainability by focusing on landscape development. So far, climate
change adaptation has received considerable attention among the economics scholarship. The treatment of this topic has covered
various approaches. Therefore, it is appealing to investigate the treatment of land-use change in climate change adaptation
economics. To that end, this paper (i) overviews systematically the essential ideas behind the commonly applied microeconomic
frameworks in the literature, and (ii) attempts to identify the position of each approach to the economic research for climate
change adaptation, by proposing a unifying theoretical structure on which the contribution of each approach in the climate
change adaptation economics research can be mapped out. The sustainable livelihood framework is selected on the basis of its
explicit consideration of both aspects of interest (climate change adaptation and sustainability of land resource use). The risk
chain and the Driver-Pressure-State-Impact-Response (DPSIR) model are used as underlying processes. The review unveils the
central instrumental role played by the costing approach (cost-benefit/cost effectiveness analyses), although this strand stands out
to be underexplored in agricultural adaptation literature. It concludes by proposing possible avenues for future microeconomic
researches.
Keywords:
Climate Change Adaptation; Land-use Change; Sustainable Livelihood Framework; DPSIR; Risk Chain
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