rural communities

In addition to imposing a negative impact on public health, Covid-19 has made the world face a huge financial-economic crisis. The worldwide spread of the coronavirus has also affected the volume of transactions and the value of stocks. Since the food market is more affected under crisis conditions, this relationship has been investigated in the stock exchange in the present study. In order to investigate the effect of Covid-19 patients on the stock index value of food industry companies as well as the relationship between risk and stock index value, the official daily data of the Ministry of Health and Medical Education and the Financial Information Processing Center of Iran were collected from March 3, 2021 when the first report was announced, to June 2, 2021. Mean Conditional heteroscedasticityvariance regression models were used in the current study. The statistical model specification tests showed that, first, the assumption of heteroscedasticitywas rejected and the needto useheteroscedasticitymodels was proved. Secondly, the asymmetry assumption was accepted. Model estimation results showed a relationship between the numbers of Covid-19 patients with the stock value of the food industry that was an increase in the number of infected people causes a decrease in the stock value of the food industry. Therefore, like other economic sectors, the capital market was affected by the Covid-19 crisis, and increasing exchange rate as a competing market had a negative effect on the stock price index. Also, considering the relationship between risk and stock value of food industries, as expected, there was an inverse and significant relationship between risk and stock value of food industry companies. In other words, an increase in risk leads to a decrease in the stock price of food industries.

Purpose- Social sustainability, especially in rural areas, is one of the most important goals of policymakers, planners and managers. However, social sustainability in local communities, such as villages, can be challenged through environmental instabilities. Accordingly, the purpose of this study is to analyze the tensions and social dangers in rural areas of Neyshabur, one of the provinces of Iran. Design/methodology/approach- In order to measure the relationship between the independent variable of drought and the dependent variable of social tension, 24 variables were identified in the context of drought, existing tensions and social damage caused by water scarcity in the study area. The required information was collected from documentary studies and also through interviews and questionnaires. One-sample t-test, Pearson correlation, single-variable regression, and VIKOR model were used to analyze the data. Findings- The results show that there is a relationship between water deficit deduced from drought and 22 social unsustainability variables. Based on the results of the regression test and the amount of obtained beta, respectively, the greatest effects of water shortages deduced from drought was on intensifying rural poverty (0.932), increasing living expenses (0.931), and the destruction of small crop and small cultivation (0.924). Also, the results of the VIKOR model showed that there is a difference between the studied villages in terms of the severity of social tensions. Originality/value- This study has been promising to focus on the effects of drought and water scarcity as an environmental unsustainability in shaping and exacerbating tensions and social injuries. Therefore, the results of this study can be effective in recognizing the social impacts of environmental changes in geographical areas and countries facing environmental changes.