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Farmers' perceptions towards various risk sources: Evidence from Tunisia

Year: 2025

Type: article

Abstract: The objective of this paper is twofold. First, we analyze farmers’ perceptions of various risk sources. Second, we identify socio-demographic characteristics of the farmers that affect their risk perceptions. The data were collected using a structured questionnaire administered to a sample of 931 farmers distributed between different regions of Tunisia (Central and Northwestern). The data were analyzed using principal component analysis, cluster analysis, and a bivariate probit model. We identify two components out of nine risk sources: socio-economic and natural risks. The estimation results of the bivariate probit model reveal that rainfed farming, agriculture as main activity, young age, not being assisted from extension services, and being a female farmer are significantly and positively related to higher perceived risk levels. Location is only significant for the socio-economic component risk. We therefore suggest that there is a need of targeted risk management strategies for different categories of farmers in order to reduce risk and enhance the efficiency of agriculture in Tunisia.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.14846601

Authors: Zouhair, Rached, Chebil, Ali, Thabet, Chokri, Khamassi, Faten, Soula, Rania, Piras, Simone

Institutions: Institut National de la Recherche Agronomique, University of Carthage, University of Sousse, James Hutton Institute

Language: English

Topic: Agricultural risk and resilience

Subfield: Soil Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDGs: Zero hunger, Decent work and economic growth, No poverty

Open Access status: green

Funder: European Commission