Geography and plan
Aliakbar Anabestani; Mahdi Javanshiri
Abstract
The use of digital technology has influenced the formation of the creative village as a new approach in using the existing capabilities and reviving the capacities of the village. The present study was conducted to analyze the impact of digital technology on the infrastructure of the creative village ...
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The use of digital technology has influenced the formation of the creative village as a new approach in using the existing capabilities and reviving the capacities of the village. The present study was conducted to analyze the impact of digital technology on the infrastructure of the creative village of suburban settlements in Mashhad. Research Method In the present study, descriptive-analytical and its type are fundamental in terms of purpose and documentary and field methods have been used to collect information. The statistical population of the present study includes 8 villages around the metropolis of Mashhad, which have a rural ICT office, a population of over 1000 households and are located near the city of Mashhad. According to the total number of households in the sample community (N 20813 households) and with 0.07% error in Cochran's formula, the sample size was calculated equal to 194 households that were selected from the rural community by systematic random method. Spatial analysis of the main variables was performed using FGRA and MABAC models that the villages of Gorji Sofla, Hosseinabad Gharghi and Dehroud have the highest, and the villages of Kal Zarkesh and Chahar Borj have the lowest level of use of digital technology services (RICT) and creative village infrastructure. In order to investigate the effect of digital technology (RICT) on "creative rural infrastructure", while confirming the positive correlation and significance of these two variables with Pearson correlation test, the results of structural equation modeling with partial least squares technique (PLS) show that the dimension "Awareness of RICT services" considering the direct and indirect effects, with a coefficient of 0.755, had a greater impact on the infrastructure of the creative village in the sample settlements. In general, according to the value of the coefficient of determination (R2) for the variable of creative rural infrastructure (0.969), it was determined that the impact of rural digital technology (RICT) on creative rural infrastructure is strong.
Agricultural Extension and Education
Mahdi Javanshiri; Khadijeh Bozarjomehri; Omolbanin Harati; Hamideh Mahmoudi
Abstract
Not so long ago, the main obstacle to the development of undeveloped countries was thought to be the lack of capital. However, today it is believed that capital is a necessary condition for development, but not the sufficient one. Therefore, one of the strategies to achieve economic development is to ...
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Not so long ago, the main obstacle to the development of undeveloped countries was thought to be the lack of capital. However, today it is believed that capital is a necessary condition for development, but not the sufficient one. Therefore, one of the strategies to achieve economic development is to make use of an efficient financial system to circulate stagnant capitals in the community. Accordingly, micro-credits were introduced in developing countries over the past 30 years, aiming to provide low-income groups with financial services. These funds are used to provide villagers with loans, particularly those who are active in production. The availability of liquidity helps villagers meet their financial needs and start a production process and get agricultural products for plantings. The study also aimed to examine the role of microcredits in rural development, with emphasis on the impact of geographical factors in attracting such funds in mountainous and plain rural area of the Mashhad County. This study is an applied research carried out in a descriptive-analytical method. Based on Cochran's formula, 207 rural households were selected. The ratio of households in each area was also calculated by Cochran's formula to be a total of 90 households from mountainous areas, and 118 households from plain areas that were selected. The required data were collected from library sources and the survey (questionnaires) among the households that received the funds. The results showed that the effectiveness of microcredits is not significantly different in mountainous and plain areas. However, there is a significant difference between the two areas considering the difficulties and satisfaction level of villagers in getting the loans, such that villagers in plain areas were more satisfied than those in mountainous areas.
