Factors affecting the use of modern irrigation systems for Sustainable Agricultural Development (Case Study: Rural Areas of Bostan Abad City of East- Azerbayjan Province-Iran)
Author(s):
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Abstract
Background and Obgective: The research goal was identification the factors affecting the use of modern irrigation systemsfor sustainable agricultural development in rural areas of Bostan Abad city.
Conciusion: Logit regression analysis showed variables: source of water, visibility of technology effects, the farmer's attitude, the amount of the loan, water ownership, employment, services, land water, extension class and farmer awareness of the technology have significant impact on the adoption of technology. These variables explained about 35% of the variance changes in the dependent variable.
Background and Obgective: The research goal was identification the factors affecting the use of modern irrigation systemsfor sustainable agricultural development in rural areas of Bostan Abad city.
Materials and Methods
The statistical population of the study was 19688 farmers on 43 villages of Bostan Abad city. The sample size was determined, 227 farmers by using Cochran formula and were selected by Sampling stage method. Data collected by a questionnaire with reliability coefficient 0.75. According to the nominal scale of dependent variable, Logit regression model was used to test the research hypotheses.Results
The results showed that 76% of respondents had high water scarcity problem. Eighty-six percent of the farmers believed that the technology would increase crop yields and reduce agricultural water use. About 58 percent of farmers accepted pressure irrigation.Conciusion: Logit regression analysis showed variables: source of water, visibility of technology effects, the farmer's attitude, the amount of the loan, water ownership, employment, services, land water, extension class and farmer awareness of the technology have significant impact on the adoption of technology. These variables explained about 35% of the variance changes in the dependent variable.
Keywords:
Language:
Persian
Published:
Journal of Agricultural Science and Sustainable Production, Volume:30 Issue: 3, 2020
Pages:
217 to 229
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