Purpose: The purpose of this study is applying Analytic Hierarchy Process (AHP) to estimate technical coefficients of activities, which is suitable for foresight regional economy index by employing experts’ opinion. Regional economic foresight requires appraising all dimensions of development indices. World complex conditions demand adequate information and tools to rational development planning. In situation that rapid changes in political and social economic structure happen in short term, applying retrospective and static tools create enormous error on foresight. Method: This research has applied mixed (qualitative and quantitative) method. In this regards, technical coefficient table for Qazvin was developed through regular meeting with related administrations and stakeholder organizations in combination with country and provincial data. Findings: The research outcomes pointed out that applying AHP will reduce costs and time in compare with existing methods. Conclusion: Economic analyses based on input-output table have many benefits which make attraction for researchers, especially on general equilibrium model. In the other hand, those table will not afford in provincial level as preparing data and information for them is cost and time consuming. This research has been solve that problem.

Introduction: The problem of water shortage has caused countries to pay attention to the water used in the production of products and their other advantages in the production of goods and services. This has to do with the water consumed in the production of imported or exported products. Although most of this water generally remains in the producer country, it is required in production processes. This paper seeks to calculate the amount of direct and indirect water consumed in the exported goods and service production in Iran. In addition, the amount of water saved on the imported products for intermediate and final uses is calculated. Methodology: An input-output model is developed to measure the direct and indirect virtual water that is required for exported and imported products. The latest survey based on the input-output table of Iran for the year 2016 is employed as the database of the research. The rest of the data are obtained from the statistical yearbook of the country for the year 2016. Results and Discussion: The symmetrical input-output table of Iran for the year 2016 has been prepared for 89 activities. This table was the basis for the research calculations. According to the results, the total imported commodities of the country were over 2662. 56 trillion Rials, whereas the total export of the country in 2016 was 3008. 85 trillion Rials. Thus, the trade balance of the country was 366. 29 trillion Rials. About half of the imported goods and services were consumed as intermediate demand, and the other half were final demand. The majority of the imports consisted of the products used for the production of machinery and equipment not classified elsewhere in the amount of 254. 5 trillion, which was 9. 6% of the country's total imports in the year 2016. In contrast, the extraction of crude oil and natural gas was in the first place with the value of 1280. 05 trillion Rials, which constituted 42. 54% of the country's exports in this year. In addition, according to the results, the virtual water export of the country in 2016 was 8514. 59 million cubic meters, compared to the country's virtual water import of 15062. 83 million cubic meters in the year. So, the country's trade balance of virtual water in this year was-6548. 24 cubic meters, which leads the country to be a net importer of virtual water. It is notable that, in contrast to the positive trade balance, the balance of the virtual water trade was negative. To investigate this circumstance, one should note that the production of 353. 4 thousand Rials worth of exported products needed one cubic meter of water. However, the country was exempted from one cubic meter of water for 176. 8 thousand Rials worth of imported products. On the other hand, the country attempted to import products that need more water in contrast to export products that need less one. So, the imported products of the country were about two times more water-intensive than the exported ones. Based on the calculations, due to the high correlation between the direct water coefficient of the activities and their water multipliers, the correlation coefficient of these two indicators was 0. 95. Meanwhile, the activity of agricultural and garden crops, with the highest direct coefficient of water intensity, had the highest multipliers of water intensity as well. Thus, despite the export not achieving the first rank, the import and trade balance ranked first by a long distance among 89 production activities in 2016. The correlation coefficient of the virtual water multipliers of the sectors with the value of their exports and imports were-0. 05 and 0. 12, respectively. Thus, in the sectors where the multipliers of water are higher, there was relatively less export, whereas the products of these sectors were relatively more imported. The lower multipliers indicate that other factors have also been involved to determine the amount of exports and imports. Conclusions: According to the findings of the research, the water intensity of products was relatively considered in the foreign trade of Iran. So, the imported products need two times more virtual water compared to the exported ones. As a result, in contrast to the positive trade balance of the country, there was a negative virtual water balance. However, due to the attention paid to other factors in the foreign trade, the correlation coefficient between the virtual water multipliers of the sectors with the value of their exports and imports is small. In addition, some activities deal with water in nature. As a result, they have high water multipliers. According to this characteristic, along with the promotion of water efficiency in production processes, it is necessary to avoid exporting products with high water multipliers as well as importing these products.

Purpose: The flourishing of political parties and currents is one of the signs of the degree of development in societies. In contemporary Iran and since the formation of the constitutional movement, political currents have gone through many ups and downs and it can be said that political currents in Iran after the Islamic Revolution have not yet reached the stage of institutionalization and stability. A characteristic feature of political currents in Iran is the divergence and division among political currents in recent decades, and this can be one of the reasons for the instability and cross-sectional and seasonal activity of political parties in Iran. Therefore, the necessity of leading research seeks to answer the question of how factors and divergence among political currents in Iran after the victory of the Islamic Revolution can be analyzed? And what are the scenarios for the advancement of political currents in Iran?Method: To answer this question, the method of causal-layer analysis, which is one of the qualitative methods in futures research, has been used.Findings: The research findings indicate that this divergence is due to a wide range of reasons from the level of causal systems (from the institutionalization of power to the formation of parties as elitist initiatives), worldview and discourse (from charismatic political authority to culture). Subsidiary-follower politics to myth-metaphor (Iranian individualism to belief in a strong state-weak society) can be analyzed.Conclusions: Three scenarios for the future of Iranian political currents can be considered: integration of currents as the security valve of the political system, the collapse of political currents in the traditional form, integration and consolidation in new social movements (virtualized parties).

Recognition and understanding the genetic control of traits, combining ability and genetic structure are directly related to the success of breeding programs. For this purpose, a 7 × 7 one-way diallel design was conducted in a randomized complete block design with three replications. The measured traits were included plant height, height to the first capsule, number of days to 50% and 90% of flowering, number of capsules per plant, number of seeds per capsule, number of days to physiological ripening, number of branches, leaves number and length, 1000-seeds weight, capsule weight, length and width, chlorophyll a, b and total chlorophyll, biological andeconomic yields, harvest index, oil and protein percentage. analysis of variance showed that there was a significant difference between genotypes and diallel analysis showed that the additive variance of all traits and dominant variance of all traits except height to the first fruit-bearing capsule were significant. The oltan cultivar was the best and Ardestan genotype was the worst genotype in terms of general combining ability. Sabzevar×TS-3 and Sirjan×Fars were the best hybrids in most traits. The general heritability was between 0.90 to 0.96 for biologic yield and number of branches, respectively and narrow heritability was between 0.36 to 0.91 for the number of branches and harvest index, respectively. The analysis of variance by Hayman method confirmed the results of Griffing analysis.

As the most complex manufactured structures, cities face excessive population growth. Their expansion has intensified on high-risk sites, and the available evidence also indicates the continuous increase of all types of natural crises in terms of intensity and frequency. Scientific and experimental findings show that the best way to deal with danger is to promote the resilience of settlements in different dimensions (social, economic-livelihood, physical-spatial and institutional); in other words, resilience in both human and environmental dimensions comprehensively. It decreases and increases. This research has evaluated and analyzed the components of resilience in Sari. The method of the present study is applied in terms of purpose and descriptive-analytical and field in nature. The statistical population in this research includes citizens living in the four districts of Sari, and the sample size was determined based on Cochran's formula of 383 people, who were selected from among the statistical population by stratified sampling. The questionnaire is the method of collecting library and field information and its most important tool. For data analysis, descriptive and inferential statistics (one-sample t-test and structural equation modeling) were used by SPSS and Smart PLS software, and entropy and SAW models were exerted. The research results indicate that the situation of the four regions of Sari regarding social components has better conditions than other dimensions of resilience. In terms of institutional components, they have a vulnerable state. According to the entropy model, among the components of resilience, the institutional dimension has the most weight, and the economic dimension has the least weight. Moreover, according to the SAV model, Region 1 ranks first, and Region 3 of Sari ranks last in having the components of resilience dimensions.

The linkage between sustainable agriculture, poverty and agricultural extension efforts and their impacts on rural centers in Behbahan Shahrestan has been discussed in this paper. Data were collected from 200 farmers in 40 villages of this Shahrestan. A multi-stage stratified random sampling technique was used for selecting villages and farmers. The findings of path analysis in three different causal models provide the complexity of relationships between variables and environmental degradation so that there is a causal relationship between poverty and unsustainability. Lack of direct causal effect of use of technology and extension efforts on sustainability in three models indicated the structural and institutional limitations of extension in diffusion of appropriate technologies. Finally, recommendations regarding regional planning with respect to socio-economic characteristics and changing from TOT approach to other alternatives and revising the education programs of extension agents are provided.

Purpose: Food security is a critical global challenge that is influenced by research and innovation in the field. Therefore, the objective of this study is to analyze the scientific output of developing countries in food security and examine its relationship with patents and Gross Domestic Product (GDP).Methodology: This applied research utilized the Scientometric approach. A total of 8,416 papers published between 1992-2023 in the field of food security by developing countries were included in the study using citation databases from Clarivate Analytics. Additionally, patent registrations from the WIPO database and GDP data from the World Bank were analyzed. Information was collected through note-taking, and the data was analyzed using Pearson's correlation coefficient.Findings: The findings reveal an upward trend in the publication and citation of scientific outputs related to food security in developing countries. China has higher numbers of papers, patents, GDP, and food production index compared to Iran, Japan, and South Korea. There is also a positive correlation observed between population and the number of papers, gross production and the number of papers, food production and the number of published papers, as well as the number of patents and papers citing scientific outputs of countries.Conclusion: These results highlight the significant relationship between increasing scientific output, GDP, the number of patents, and food security. Greater emphasis on food security contributes to enhanced scientific output, GDP, and innovation. Similarly, increasing scientific output, GDP, and innovation positively impact food security in countries.Value: This study emphasizes the importance of scientific outputs in driving technological advancements, innovations, and ultimately, ensuring food security in developing countries.