Technology Spillovers and Land Use Change: Empirical Evidence from Global Agriculture
Nelson Villoria
No 332895, Conference papers from Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project
Abstract:
Cross-country empirical evidence on the effects of agricultural technological change on cropland use is surprisingly scarce. Such a lack of evidence has given way to polarized views on the potential of technological progress to slow down deforestation. To fill this gap, this paper develops and estimates a model that links the changes in a country's cropland to changes in both domestic and foreign total factor productivity (TFP). We find that in most countries of the world TFP growth is either uncorrelated or positively associated with cropland expansion. Yet worldwide patterns of TFP growth have been an important source of global land savings. The divergence between country-level and global results is explained by the changes in production patterns as countries interact in international markets. A simple, back of the envelope calculation suggests that in the absence of TFP growth, global land expansion during 1991-2010 would have been twice as large as observed.
Keywords: Labor; and; Human; Capital (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://ageconsearch.umn.edu/record/332895/files/8769.pdf (application/pdf)
Related works:
Journal Article: Technology Spillovers and Land Use Change: Empirical Evidence from Global Agriculture (2019) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ags:pugtwp:332895
Access Statistics for this paper
More papers in Conference papers from Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().