درخت حوزه‌های تخصصی

Sustainability consists of fulfilling the needs of current generations without compromising the needs of future generations, while ensuring a balance between economic growth, environmental care and social well-being. Sustainability includes three environmental, economic and social dimensions; whose environmental dimension has a decisive weight in sustainability. Many empirical sustainability-related researches have been carried out in the 2000s and 2010s, and the empirical model used in these studies was based on the Environmental Kuznets Curve (EKC). Also, the two concepts of human development and sustainability have been widely used in development literature in the past years, and humans have been considered as an important factor in the development of different societies in various studies. Composite index of human development includes various dimensions that can affect sustainability and especially environmental sustainability. Also, the influence of large oil revenues in the oil-owning and exporting countries on human development in these countries has played a prominent role, and has categorized the countries into three groups: oil-producing countries with high human development, oil-producing countries with medium human development, and oil-producing countries with low human development. This study has used the panel data method and the Kuznets function in the period of 2010-2019 to investigate the effect of the human development index in 35 major oil exporting countries in the world. According to the result of model estimation by econometric method, environmental sustainability in these countries increases with the increase in the human development index (HDI).

Monetary policy is one of the important economic policies that affect the macro variables of every country. One of the composite variables that are affected by the monetary policy is the FCI. This study aimed to measure the effect of monetary policy through different channels on the FCI of Iran. Using time series data from 1991-2023 and the econometric method of PCA, the FCI was first calculated. The effect of monetary policy on the FCI of the country using the Markov-switching (MSIHA(2) AR(2)) model was calculated and estimated. The results of the estimation of the Markov-switching model indicate that the studied period can be divided into two regimes of zero and one. So that 1% increase in the FCI in regime zero will lead to a 0.02% return of the FCI in the next month and a 0.36% increase in the next two months. In addition, the increase in the FCI in regime one will lead to a 0.08% return of the FCI and a 0.10% increase in the next two months. In addition, the volume of money in regime zero and regime one also positively and significantly affects FCI.

A suitable marketing strategy is essential for increasing sales and profitability at different stages of the product life cycle. The main objective of this study was to assess the factors that affect the choice of marketing strategy at various stages of the product life cycle in the food industry in Mashhad, Iran. Data were collected in 2017 through a survey which 88 marketing managers in the food production industry completed the questionnaires. To reach the goal of the study, the multinomial logit model was applied to determine the effects of explanatory variables on the probability of choosing a special marketing strategy at the various stages of the product life cycle. Results showed that the manager’s experience, education, type of product, competitiveness, reputable brand, and market share had a significant effect on the chosen strategy at different stages of the product life cycle. Therefore, a company’s profitability in a market could be improved by the implementation of a marketing strategy based on product type and in relation to the specific stage of the product life cycle.

Iran attempts to expand the non-oil exportsfor diminishing the dependency on oil export income. This research tries to examine the export and trade balance of Iran's agricultural sector. Accordingly, the gravity model was used for export, applying panel data from 1997 to 2017. Also, the trade balance of Iran's total agricultural and the related sectors’commodities was examined. It should be noted that for the trade balance, time series data from 1978 to 2018 were used. The results of the gravity model show a negative effect for the variable of distance. The coefficients of Iran’s per capita GDP and also the GDP of trading partners are positive, as expected. It was found that a one percent increase in the per capita GDP of Iran causes a rise of 3.42 percent in the export of agricultural products; however,that of importing countries haslow statistical significance. Based on the coefficient obtained for the population, an increase in the population of the importing countries raises the demand for Iran's agricultural products.The degree of trade openness revealed a positive and significant effect on the export of agricultural products. The coefficient for the real exchange rate was found to be around 0.9 percent. It was also found that the volatility of the exchange rate is related directly to the export of agricultural products. Comprehensive sanctions have a negative and significant effect, while less restricting sanctions have an insignificant effect on the export of agricultural products. The global economic crisis has also had a dampening effect on exports. For trade balance, the results show that the value added of the agriculture has a positive effect on the trade balance of entire agriculture and sectors. The real exchange rate has a negative effect on the trade balance of agricultural commodities as a whole and livestock and agronomy sectors, confirming the J-Curve theory while it was not supported for the horticultural sector. Also, the variable of exchange rate volatility was included in the model using two measures of positive and negative series of exchange rate changes and the Autoregressive Conditional Heteroskedasticity (ARCH) effect, but their effect on the trade balance was not the same in terms of both the direction and statistical significance. The trade openness for the agricultural and horticultural sector was found with a positive coefficient, indicating that their production is based on comparative advantage. However, for the sectors of agronomy and livestock, it illustrated a negative effect. Sanctions have also harmed the trade balance.