Climate Change, Crop Selection and Agricultural Revenue in Ghana: A Structural Ricardian Analysis

Prince M. Etwire, David Fielding and Viktoria Kahui

Journal of Agricultural Economics, 2019, vol. 70, issue 2, 488-506

Abstract: We apply a Structural Ricardian Model (SRM) to farm‐level data from Ghana for seven principal food crops in order to model the factors which influence farmers' decisions about which food crops to grow and the revenue conditional on these choices. Our application of the SRM incorporates a flexible functional form to allow for the possibility that the effects of temperature and rainfall may not be linearly separable. We use this model as a basis for simulations of the effects of climate change. These simulations suggest that extreme climate change will lead to a significant reduction in the average net revenue per hectare from maize, which accounts for over half of current food production. Across a range of climate change scenarios, there is also substantial substitution of maize for heat‐tolerant millet, and a reduction in the cultivation of other crops. Under most of the climate change scenarios that we consider, these results imply a substantial reduction in the aggregate value of agricultural production, since millet is the lowest‐value crop.

Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
https://doi.org/10.1111/1477-9552.12307

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:jageco:v:70:y:2019:i:2:p:488-506

Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0021-857X

Access Statistics for this article

Journal of Agricultural Economics is currently edited by David Harvey

More articles in Journal of Agricultural Economics from Wiley Blackwell
Bibliographic data for series maintained by Wiley Content Delivery ().