نشریه راهبردهای توسعه روستایی
سال دهم شماره 3 (پیاپی 39، پاییز 1402)

In this research transfer and distribution risks of natural gas to rural regions were assessed, evaluated and prioritized, then solutions of their hedging were provided for the case study of Hormozgan province gas company (HPGC). In order to collect the data, designed questionnaires were distributed between chosen sample (using snowball sampling) of expert of gas industry especially in Hormozgan province and 17 questionnaires completed and received. Also, in order to data analyzing, the Delphi technique, analytical hierarchy process (AHP), DEMATEL technique and analytical network process (ANP) were applied. The findings reveal a total of 31 risks distributed across five primary criteria in the transfer and distribution of natural gas to rural areas. With the exceptions of "change in domestic investment rules" and "change in technology," which fall under the yellow (precautionary) category, all other evaluated risks are classified as red (high-risk). Notably, the primary risk criteria in natural gas transfer and distribution to rural regions, ranked in descending order, are "Managerial/organizational," "Economic," "Legal and political," "Environmental," and "Technical." In addition, between risk sub-criteria: "non-adequacy of professional employees", "liquidity lack", "HSE inefficiency", "budget absorption", "managers' unsuitable performance and decisions", "price fluctuations", "economic sanctions", "inefficient scheduling", "fatal events" and "exchange rate fluctuations", are prior. Finally solutions of hedging natural gas transfer and distribution to rural regions by HPGC based on their priority were provided.

Agricultural development is one of the most critical strategies approaches in rural communities and agricultural development. However, the effectiveness of the strategy has been questioned by some macroeconomic policy makers and social groups. Therefore, Evaluating the socio-economic effects of agricultural research is the first necessity to prove its valuable results. Therefore, this research was conducted with the purpose of evaluating the economic effects of the research activities, using the economic surplus analysis at the Kurdistan Agriculture and Natural Resources Research and Education Center(KANRRE), in 2021. The findings showed that investment in agricultural research increased the benefits and economic welfare of producers(farmers) and consumers of agricultural products and had positive effects on the development of the agricultural and rural sector of the province. The internal rate of return and the average benefit-cost ratio of the research activities have been evaluated as 50% and 1.7, respectively, at this research center. So, each 1 Rial invested in agricultural research has 1.7 Rials of economic benefits for those engaged in agricultural research, especially farmers as the main population of the rural communities of the province. As a result, this increase in benefits will have positive effects on the development process of the agricultural sector and rural communities. Therefore, it is suggested that the government provides the necessary platforms, taking into account its governance duties, by applying supportive policies, both from the perspective of allocating sufficient research credits and from the point of view of creating convergence among all economic policy makers of the country, to create the necessary belief in the fundamental and strategic role of agricultural research in economic and rural development

Speed and acceleration are always accompanied by a decrease in accuracy, an increase in the error rate and, as a result, a defect in the output. Today, there is a significant tendency to transform and change fast activities to slow ones in tourism in order to enjoy the beauty of slowness during vacations and travel. Currently, the nature of rural destinations is such that it can be considered as a more ideal set or perspective than other destinations for facilitating slow tourism. In this regard, the current research seeks to measure the impact of slow tourism factors on the development of rural destinations. The research method is exploratory-explanatory in terms of purpose and mixed in terms of nature. In the qualitative method, a semi-structured interviews were used for data collection and three-stage coding based on content analysis was used for data analysis. Also, in the quantitative method, a researcher-made questionnaire (extracted from the qualitative section) was used to collect data and structural equation modeling based on partial least squares was used for data analysis. The time domain of the research was from the fall of 1399 to the end of the summer of 1400. The findings of the research indicate that the eight factors "time, slow marketing, slow products, slow hospitality experience, slow economy, slow socio-cultural atmosphere, slow physical space and slow policy making" in Slow tourism development and six factors "resources and attractions, advertising and marketing, economic factors, socio-cultural factors, environmental factors and political factors" were abstracted in the development of rural tourism. It was also found that slow tourism and the factors affecting it have a positive and significant effect on the development of Javaherdeh village tourism. Management and practical suggestions based on the results were presented at the end of the research.

Saffron is one of the strategic products of the agricultural sector in Iran’s South Khorasan province, the second largest producer which has a special place in Iran's non-oil exports. Unfortunately, the dispersion of saffron lands and the existence of smallholder units, while increasing costs and reducing yields, have made it difficult to use new technology and implement modern irrigation projects and has reduced the profit, productivity and production efficiency of saffron growers in the region so that in recent years, many saffron growers have gradually devoted saffron lands to other crops. Land consolidation strategy is of great economic and agricultural importance. This strategy can lead to the optimal use of production inputs. The purpose of this study is to investigate the factors affecting the land integration by saffron growers in Ghaenat county in South Khorasan province. In the completed questionnaire, lands were divided into three levels of small, medium and large-scale farms in terms of size. The results showed that the final effects of the variables of number of households, new technology and tools, knowledge of new production methods, existence of risk in production and performance have been effective on the integration of saffron farmers' lands in both medium and large land levels. In level 2 lands with medium scale (between 3 to 5 hectares), the variables of yield, technology and new tools and knowledge of new methods of saffron production have a significant negative, negative and positive effect on the use of medium scale lands, respectively. Level 3 lands (large scale), the effect of two variables on the number of households and the existence of risk in saffron production on land integration and use of large-scale lands have been negative and significant and the three variables of saffron yield per hectare, new technology and tools and Knowledge of new methods of saffron production with sizes of 0.003, 0.16 and 0.06, respectively, has a positive and significant effect on land integration or large-scale land use. Therefore, by increasing the yield of saffron per hectare, new technology and tools and knowledge of new production methods provide better conditions for land integration and large-scale land use. Therefore, it is suggested that by awareness and informing saffron farmers about new technology and tools, as well as by training and acquiring more specialized knowledge in the field of saffron production, farmers from land integration or the use of large-scale lands in order to improve efficiency and productivity will be further supported.

Natural hazards such as floods are one of the most damaging phenomena that require more attention. Villages exposed to flooding, such as Zoshk, should be more stable in order to minimize possible flood risks and damages. One of the pivotal strategies currently under consideration for mitigating flood damages is enhancing the resilience of communities, a focus that has been thoroughly assessed in this research. The research method is descriptive-analytical "survey" and the statistical population is 728 households living in Zoshk village. According to the number of 728 households in Zoshk villages, the sample size was estimated to be 102, using Cochran's formula, therefore the number of 102 questionnaires were prepared in the form of a 5-point Likert scale. questionnaires, the overall resilience of the Data analysis was carried out using Excel and SPSS software. To determine the level of normality of the data, skewness and kurtosis tests were used, and to answer the research hypothesis, one-sample t-test was used. The results of the research showed that the resilience of Zoshk village is average according to the opinion of the majority of the residents of the region and in between, the infrastructural, institutional and organizational dimensions, and economic, varies from the average and the amount of these dimensions are less than the average, means they are in an unfavorable situation. The dimension of social resilience is higher than the average and has a favorable condition.

This study was conducted to investigate the ability of carbon sequestration in barley and to determine the global warming potential of this product in the cropping year 2020-2021 in rural areas Shirvan city. For this purpose, systematic random sampling was performed in 30 farms from 0-30 cm soil depth and consumption inputs were obtained through face-to-face questionnaire. The results showed that the soil carbon sequestration capacity in barley farms was equal to 1.74 ton/ha-1. Comparison of conversion coefficient of plant organs showed that spike had a higher conversion coefficient of 22.4% than root. The carbon sequestration capacity of spike, stem and barley root was determined as 1297.20, 620.62 and 114.00 kg.ha-1, respectively. Among the inputs, diesel fuel with an average of 552.70 kg.ha-1 had the highest role and electricity with an average of 6.85 kg.ha-1 had the least role in greenhouse gas emissions. Among greenhouse gases, carbon dioxide with 1135.79 kg.ha-1 had the highest share. The total global warming potential of one hectare of barley in Shirvan city was 1147.31 kg equivalent of carbon dioxide. The amount of carbon footprint obtained for the total plant biomass was equal to 0.28 kg equivalent to carbon dioxide per kg of barley biomass. In general, the obtained results showed that the barley product has an acceptable carbon sequestration capacity and is a suitable crop to be included in the model program of rural areas. Based on the results of this research, part of the gross production of rural areas of Shirvan city will be achieved through the cultivation of barley in marginal lands with low production capacity, which will play an important role in the development of these areas.

The rural areas of Iran are known as the most important hubs for the production of agricultural products. Considering that income distribution has an effect on the level of poverty and economic well-being of rural people, knowing the factors affecting how income is distributed in the rural areas of the country will be necessary to develop poverty alleviation policies. Identifying these factors will pave the way for appropriate measures in the first place to improve the pattern of rural income distribution and in the second place to reduce rural poverty in Iran. The purpose of this research is to investigate the effect of trade liberalization and the quality of human resources on the Gini coefficient in rural areas of Iran for the period of 1971-2020. For this analysis, Vector Autoregressive Model, Johansson-Juselius method Engel-Granger method and Vector Error Correction Model are used. The findings of the research based on The coefficient of the error correction method indicates that about 0.61 of the short-term imbalance is adjusted in each period to achieve the long-term equilibrium, and it can be said that in the long-term, a one percent increase in the variables. The quality of human resources (literacy rate of farmers) and the relative income of agriculture causes a decrease of 2.78 and 2.03 percent in the inequality of income distribution, respectively, and a one percent increase in the economic growth variables of the agricultural sector, the government's construction expenditures for agriculture, the index The degree of commercial openness and the ratio of agricultural investment cause an increase of 68%, 0.51%, 2.85% and 1.18% respectively in the inequality of income distribution, and among the types of variables mentioned, the effect of the index of the degree of commercial openness on the inequality of distribution income is more compared to other variables.

Following the intensification and duration of the drought period in Iran and the occurrence of acute water shortage problems, drought risk management especially in rural areas has doubled. A variety of methods, including the Markov chain, are used to predict the likelihood of drought. In this study, the drought situation of rural areas were studied in Sistan and Baluchestan province according to the monthly rainfall data of six stations of Iranshahr, Chabahar, Khash, Zabol, Zahedan and Saravan stations using the standardized precipitation index method (SPI) in time scales of 3, 6, 9, 12, 24 and 48 months. The results showed that the cities of Zahedan, Chabahar, Zabol, Saravan, and Khash in the long term in 11.49, 35.14, 35.13, 11.62 and 35.13% of the times were in a dry situation, respectively. Zahedan, Chabahar, Zabol, Saravan, and Khash stations in 77.2 59.46, 62.17, 75.68 and 59.46% of the times were in normal condition and in 11.49, 5.40, 2.70, 2.70 and 5.41% of the times were in wet conditions, respectively. The results also showed that on average, the probability of equilibrium of dry, wet and normal periods in the stations of the province is 29, 5 and 66%, respectively. In other words, the region is in normal climatic conditions, while the probability of occurrence of dry conditions is almost six times that of wet conditions. The most severe drought in Sistan and Baluchestan province in 2008 with an SPI coefficient of -2.8 and the most severe drought in the province in 1995 with an SPI coefficient of +0.08 occurred. The general results showed that the changes in the SPI index have a negative trend and the creation of a comprehensive risk management system is essential.