Armed conflict, institutions and deforestation: A dynamic spatiotemporal analysis of Colombia 2000–2018
Tatiana Cantillo and
Nestor Garza ()
World Development, 2022, vol. 160, issue C
This paper assesses the impact of the Colombian internal armed conflict on local development processes and deforestation during 2000–2018. The paper develops a theoretical framework of the deforestation process, as determined by the spatiotemporal patterns of socio-economic and conflict related variables. These determinants are examined using a system of spatial dynamic panels by land-use activity, and emphasizing interactions and spatiotemporal lags. The theoretical approach is innovative and applicable to other cases where political, economic and ideological interests interact in deforestation processes. In addition, the methodological structure of our spatial panels allows us to determine the effect of armed conflict agents’ and socio-economic structures, combined and in isolation. Our results formally verify that different armed actors’ strategies and ideologies, determine different and contrasting spatiotemporal patterns of deforestation/conservation, in the context of structural socio-economic determinants in Colombia. We argue about the need of context-specific modelling in any microeconomic or agent-based analysis of deforestation.
Keywords: Deforestation; Internal armed conflict; Cocaine trafficking; Spatial economic analysis (search for similar items in EconPapers)
References: Add references at CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
Full text for ScienceDirect subscribers only
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:eee:wdevel:v:160:y:2022:i:c:s0305750x22002315
Access Statistics for this article
World Development is currently edited by O. T. Coomes
More articles in World Development from Elsevier
Bibliographic data for series maintained by Catherine Liu ().