Using spatially explicit data to improve our understanding of land supply responses: An application to the cropland effects of global sustainable irrigation in the Americas
Nelson Villoria () and
Land Use Policy, 2018, vol. 75, issue C, 411-419
Land supply elasticities determine the rates of land conversion in global policy models. However, they are only available for few countries in the world. Therefore, analysts seeking to improve the spatial resolution of their models are forced to impose regionally homogeneous parameters over highly heterogeneous regions. This article estimates spatially explicit land supply elasticities using gridded data for the American continent. These estimates reasonably reproduce changes in land use observed at different levels of geographical aggregation across the continent. Plugging our estimates in a previous analysis of the land-use effects of eliminating global unsustainable irrigation, reveals higher pressure to convert land in the ecoregions in the south of the continent that have experienced most rapid cropland expansion in the recent past.
Keywords: Land use; Land supply; Land supply elasticity; Spatially explicit model; Global to local analysis (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) 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:lauspo:v:75:y:2018:i:c:p:411-419
Access Statistics for this article
Land Use Policy is currently edited by Jaap Zevenbergen
More articles in Land Use Policy from Elsevier
Bibliographic data for series maintained by Joice Jiang ().