Title: Factors influencing farmers' knowledge about sustainable groundwater management

Authors: Azadeh Bakhshi; Lucio Cecchini; Bahman Khosravi Pour; Mansour Ghanian; Fabio Maria Santucci

Addresses: Department of Agricultural Extension and Education Ahvaz, Khuzestan Agricultural Sciences and Natural Resources University, Iran ' Department of Agricultural, Food and Environmental Sciences, Research Unit of Applied Economics, University of Perugia, Italy ' Department of Agricultural Extension and Education Ahvaz, Khuzestan Agricultural Sciences and Natural Resources University, Iran ' Department of Agricultural Extension and Education Ahvaz, Khuzestan Agricultural Sciences and Natural Resources University, Iran ' Department of Agricultural, Food and Environmental Sciences, Research Unit of Applied Economics, University of Perugia, Italy

Abstract: This paper analyses the influence of socio-economic and structural factors on the knowledge about sustainable groundwater management (SGWM) among farmers in Iran. 189 wheat producers have been interviewed during summer 2017 in the South Khorasan province. The dependent variable (TK, total knowledge) has been constructed through the answers to 18 questions, defined as pk, partial knowledge. The model includes 12 independent variables, which affect TK, and cover both socio-economic and structural aspects, like age, education, income, knowledge about drought, relationship with the local advisory service, water rights, irrigation method, area with wheat, wheat total production, and fragmentation. The results show that there is a correlation, sometimes positive and sometimes negative, between all independent variables and SGWM. Participation in extension meetings, total wheat production, and family income show the strongest positive correlations. A multiple linear regression has been then applied to estimate the influence of the variables on the farmers' total knowledge regarding SGWM. The results show that 45.0% of the total knowledge variance is determined by the independent variables used in the model.

Keywords: irrigation; drought; knowledge; advisory services; South Khorasan; Iran.

DOI: 10.1504/IJW.2019.099510

International Journal of Water, 2019 Vol.13 No.2, pp.122 - 138

Received: 16 Jun 2018
Accepted: 10 Sep 2018

Published online: 02 May 2019 *

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