Analysis of the Impact of Agricultural Development Policies on Indicators of Sustainable Rural Development: A Case Study of Rudsar County

Subject Areas : Rural and nomadic studies

elham  mohskbid ¹ (PhD Student, of Geography and Rural Planning, Department of Geography, Rasht Branch, Islamic Azad University, Rasht, Iran)
Teymour  Amar ² (Associate Professor, Department of Geography, Rasht Branch, Islamic Azad University, Rasht, Iran)
Mohammad  Baset Ghoreyshi ³ (Assistant Professor, Department of Geography, Rasht Branch, Islamic Azad University, Rasht, Iran)

Received: 2020-12-10 Accepted : 2021-03-11 Published : 2024-08-22

Keywords: Sustainable Development, Agricultural Development, Rural planning, Medicine, Rudsar,

Abstract :

Given the many roles that villagers have in the national development process, especially in the field of food supply, the sustainable development of these areas is very important. The aim of this study was to investigate the effectiveness of agricultural sector measures in sustainable rural development in Rudsar city. First, the extent to which 195 sample villages had a variety of basic and supportive policies was assessed qualitatively using a questionnaire technique. Then, the situation of the sample villages was studied based on sustainable development indicators. The results showed that the rural community in Rudsar city is more stable in terms of social dimension than economic and environmental dimensions with an average score of 2.998. Based on the results of multi-criteria linear regression modeling, in the field of employment variable, agricultural mechanization policy with a coefficient of 0.456 had the greatest impact. Agricultural mechanization, water resources management, marketing and education and promotion had an impact on rural employment. Regarding the dependent variable of income, rural land integration, agricultural mechanization and pricing of agricultural products had the most impact, respectively. Rural land integration and agricultural water resources management had 41.1% and 28.9% predictive power of production dependent variable, respectively. Pricing, marketing, education and promotion had the greatest impact on the variable related to the market economy. Agricultural mechanization affected the stability of the rural population by up to 54%. Education and promotion were the only policies affecting the quality of the environment.