A Geometric Analysis of Technological Heterogeneity in the Agricultural Sector: Evidence from Maize in Tanzania
Karim Nchare,
Marcel Vitouley,
Heidi Kaila and
Yanyan Liu
No 330119, PRCI Research Papers from Michigan State University, Department of Agricultural, Food and Resource Economics, Food Security Group
Abstract:
This paper presents a new framework to measure farm-level heterogeneity, and productivity change, and to study the rate and direction of technical change within an agricultural sector. Building on the seminal works of Hildenbrand (1981) and Dosi et al. (2016), we show how, while relaxing most of the standard assumptions from production theory, discrete geometry is an effective tool for productivity analysis and technical change in agricultural economics. We apply the framework to a rich panel data from maize farmers in Tanzania to investigate the dynamics of technical heterogeneity and agricultural productivity growth.
Keywords: Agricultural; and; Food; Policy (search for similar items in EconPapers)
Pages: 46
Date: 2022-01-01
New Economics Papers: this item is included in nep-agr, nep-dev and nep-eff
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://ageconsearch.umn.edu/record/330119/files/P ... nzania%20%282%29.pdf (application/pdf)
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:ags:miprrp:330119
DOI: 10.22004/ag.econ.330119
Access Statistics for this paper
More papers in PRCI Research Papers from Michigan State University, Department of Agricultural, Food and Resource Economics, Food Security Group Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().