Qualitative meta-analysis of economic models of climate change: informing policy development strategies
Year: 2025
Type: review
Abstract: Purpose The livelihoods of agricultural communities are significantly impacted by the socioeconomic effects of climate change. Although numerous socioeconomic effects have been identified through the economic models of climate change (EMCC), it has focused on a narrow range of parameters. This paper aims to advance existing knowledge on EMCC to identify the parameters and effective use of models that prioritise and organise the socioeconomic factors pertaining to agricultural communities’ livelihoods, thereby informing policy development. Design/methodology/approach This study conducts a qualitative meta-analysis following a systematic literature review using three databases. Findings A comprehensive review is conducted of 23 EMCC in agriculture, which are categorised into land-based, global integrated, crop, economic simulation and policy-specific models. It identifies 26 socioeconomic parameters across agricultural, demographic, economic and social dimensions. The outcomes of this paper identify various EMCC, elucidating multiple parameters that must be considered to assess the socioeconomic impacts of climate change. In addition, this study highlights the limitations of current models, providing a foundation for the future development of a comprehensive framework that captures the multifaceted impacts of climate change on agriculture, demography, the economy and social dimensions. Originality/value The findings offer insights into, for example, policy development and model improvements to bridge the gap between theoretical models and practical application. This practical orientation is valuable for translating research findings into real-world impacts. The alignment of the findings with SDGs underscores their contribution to international development goals and their potential to influence global climate adaptation strategies.
Institutions: Deakin University, University of Salford, University of Moratuwa
Language: English
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $1,839
Award: G2233058895
OpenAlex ID: W7081529526
