Understanding constraints on private irrigation adoption decisions under uncertainty in data constrained settings: A novel empirical approach tested on Ecuadorian Cocoa cultivations
Gonzalo Villa‐Cox,
Francesco Cavazza,
Cristian Jordan,
Mijail Arias‐Hidalgo,
Paúl Herrera,
Ramon Espinel,
Davide Viaggi and
Stijn Speelman
Agricultural Economics, 2021, vol. 52, issue 6, 985-999
Abstract:
In rural areas of LatinAmerican Countries, irrigation requirements for perennial crops, like cocoa are expected to increase. This paper develops a novel holistic approach to model private investment decisions in irrigation adoption by small and mid‐sized cocoa farmers that face competing sources of uncertainty. In agricultural studies data collection through surveys often leads to issues of missing information on key measured variables. Our approach deals simultaneously with the issue of endogeneity of considering diverse risk sources and with the missing values in key covariates. The study considers multiple levels of irrigation adoption in a context where traditional and modern irrigation systems might coexist. The main contributions of this paper are both its methodological approach and its empirical application filling a knowledge gap on irrigation adoption.
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1111/agec.12661
Related works:
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:bla:agecon:v:52:y:2021:i:6:p:985-999
Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0169-5150
Access Statistics for this article
Agricultural Economics is currently edited by W.A. Masters and G.E. Shively
More articles in Agricultural Economics from International Association of Agricultural Economists Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().