Agri-Food Modelling: Socio-Economic Data and Data-Gaps
Type
conference paper
Date Issued
2025-03-18
Author(s)
Abstract
Socioeconomic models in the agricultural sector are used to support policy-makers, farms, and researchers in analysing and improving agricultural markets and the socio-economic conditions of farmers and rural communities. This paper identifies gaps in data for a selection of agricultural models and gives a first impulse for developing the Nostradamus module enhancing analysis capabilities for both policy and farm decision-making. Using a snowball literature review for collecting a sample of 108 economic models related to agriculture, we analyse their data coverage, data consumption, and limitations. As a result, we discover three types of data, that are demanded for model processing: data noticed in limitation sections of most of the models, data collected in surveys, and minimum data requirements for the most difficult and data-consuming models. This overview provides a valuable inside into data consumption of modern modelling tools and informs the developers of future databanks about the data demands from policy-makers, farms, and researchers worldwide.
Language
English
Keywords
Agriculture
Food
Modelling
Data
Data gap
HSG Classification
contribution to scientific community
Refereed
Yes
Event Title
Eleventh International Conference on Remote Sensing and Geoinformation of Environment (RSCy) Conference
Event Location
Paphos, Cyprus
Event Date
18 March 2025
Subject(s)
Division(s)
Contact Email Address
sabine.hoidn@unisg.ch
Additional Information
This work has received funding from the Swiss State Secretariat for Education, Research and Innovation (SERI).