Agricultural Productivity and Structural Transformation: Evidence from Brazil
Bruno Caprettini and
Jacopo Ponticelli ()
American Economic Review, 2016, vol. 106, issue 6, 1320-65
We study the effects of the adoption of new agricultural technologies on structural transformation. To guide empirical work, we present a simple model where the effect of agricultural productivity on industrial development depends on the factor-bias of technical change. We test the predictions of the model by studying the introduction of genetically engineered soybean seeds in Brazil, which had heterogeneous effects on agricultural productivity across areas with different soil and weather characteristics. We find that technical change in soy production was strongly labor-saving and led to industrial growth, as predicted by the model.
JEL-codes: J43 O13 O14 O33 Q15 Q16 (search for similar items in EconPapers)
Note: DOI: 10.1257/aer.20131061
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (101) Track citations by RSS feed
Downloads: (external link)
https://www.aeaweb.org/articles/attachments?retrie ... Op05WOzD1RXGVFIUop04 (application/pdf)
https://www.aeaweb.org/articles/attachments?retrie ... -H2byExSvvTaxKmfoTvr (application/zip)
Access to full text is restricted to AEA members and institutional subscribers.
Working Paper: Agricultural Productivity and Structural Transformation. Evidence from Brazil (2015)
Working Paper: Agricultural productivity and structural transformation. Evidence from Brazil (2015)
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:aea:aecrev:v:106:y:2016:i:6:p:1320-65
Ordering information: This journal article can be ordered from
Access Statistics for this article
American Economic Review is currently edited by Esther Duflo
More articles in American Economic Review from American Economic Association Contact information at EDIRC.
Bibliographic data for series maintained by Michael P. Albert ().