Journal of Economic Modelling
Year:2021 | Volume:14 | Issue:4 (52)|Papers Count:6

The aim of this paper is the classification the economic entropy index in a macroeconomic model. Therefore, the descriptive-analytical methodology and econophysics and systems theory were used. The results show that the economic entropy was divided in four sections, shock entropy, respiration entropy, sleep entropy, and entropy of waste. Increasing the economic entropy index due to the scarcity of environmental resources, predicts the likelihood of an economic catastrophe. This will not only bring about economic growth faces serious problems, but the environment poses a serious problem as a place of residence. According to the results, reducing the instabilities and external stresses to reduce shock entropy, developing the appropriate rules for firms to reduce respiratory entropy, policies based on the reduction of physical and social waste to reduce the entropy of waste and policies for the use of production spaces that are not currently in use to reduce sleep entropy recommended.

The purpose of this article is to understand the effect of the outbreak of infectious diseases on the economy and also to analysis the role of government under pandemic crisis conditions. For this purpose, a dynamic stochastic general equilibrium model is used. After calibrating the parameters based on the quarterly information of Iran's economy during the period of 1991-2016, in the baseline scenario, it is assumed that the government has no involvement in the economy; In other words, the government pursues a state of fiscal passivity and shows no fiscal reaction to the change in endogenous variables after the outbreak of pandemic disease. Subsequently, in other scenarios, the government reacts fiscally to the outbreak of the pandemic, given the different conditions of production and public liability. The results of the study of fiscally active scenarios compared to the state of fiscal passivity indicate that the effect of government expenditures shock as a standard deviation on macroeconomic variables under pandemic disease conditions, has led to much less feedback.

Early economists have cited economic freedom as the basis for economic growth, and later economists have emphasized the role of inclusive political and economic institutions in creating and sustaining economic growth. The relationship between these two perspectives goes to the concept that the economic freedom shapes by economic institutions. Proper institutional of countries not only contributes to the growth and prosperity of their economies, but can also increase the power of countries in the face of economic shocks. Identifying the institutions’ situation of countries can help to adopt appropriate policies by governments and the private sector. In this study, by generalizing a structural model of Iran's economy as it includes the endogenous institutional function, attempt to measure the effects of effective shocks on the macroeconomic structure of the country with emphasis on institutional variables. The results show that the increase in oil shock has had a positive effect on the country's economic growth and institutions. This study had done for the period 1349-1399 by using GMM and Svar methods. The result of estimating the structural model shows that improvement of the institutional environment has affected most of the important variables of the Iran's economy, so improving the quality of institutions leads to increase in national product and reduces liquidity. Also, damaging institutional factors is related with increase in government size and inflation. Most of the impulses considered in the study had a significant effect on economic growth and institutional status of the country.

The aim of this study is to investigate the factors affecting the probability of banking facilities default by customers and to determine the main variables coefficient related to the probability of default. Finally, using logit regression, a model has been provided to increase the ability of the bank's managers to solve the problem of non-repayment of credit facilities on time. First, 7 variables that had a significant effect on customers' credit risk were identified and fitted to the significance level of 5% of the final model using LR statistics. The results showed that the variables of the borrower's monthly income, the borrower's relationship with the guarantor, the guarantor's guaranteed capital, the borrower's experience and job stability, the loan repayment period and the years of borrower's relationship with the bank, have adverse effect on credit risk and the variable loan amount has a direct effect on credit risk.

Happiness and happiness inequality are important issues that economists have been studying in recent years. However, studies addressing the inequality of happiness are limited, and more research is needed to shed light on its antecedents and mechanism. The purpose of this study is to examine the relationship between government size and happiness inequality in the Iranian economy using a threshold regression model during the period of 1974-2016. The results of the estimation of research models show that the size of the government has a threshold effect on happiness inequality. In other words, before the threshold of 13 percent of the government-to-GDP ratio, the government size has a diminutive effect on the inequality of happiness, but after passing through the threshold and increasing the government's involvement in the economy, this variable has a significant positive effect on the happiness inequality. Thus, the expansion of the size of government in the Iranian economy has exacerbated the happiness gap between the low-income and high-income classes of society. Based on the research results, it is suggested that policymakers pay attention to the threshold relationship between government size and inequality of happiness of society when implementing their policies.

Competitiveness is one of the categories that today in scientific, economic, commercial and political circles has found its special place as an indicator for the evaluation of cities in various fields. Although there is not yet a global consensus on indicators and benchmarks, some international organizations offer competitive rankings of cities by introducing their indicators. Given that new cities have great potential to create competitiveness, so the study of factors affecting the competitiveness of the new city of Parand can be a step towards identifying these factors. This study aims to identify the most effective competitiveness factors of Parand city with a qualitative-quantitative method and using the Granded Theory approach in the qualitative section and with a causal-comparative method answers the question that what are the competitiveness factors of the city and to what extent are they effective in increasing the competitiveness of this city? . In the qualitative stage, 61 concepts were obtained in open coding, which was reduced to 19 main and pivotal concepts in axial coding. In a quantitative stage, a questionnaire was developed based on it. In analyzing the results, it was found that the most important legal and organizational governance is investment, the coefficient of determination of each of which is 1, followed by policy-making with a value of (0. 967) and national political space with The value (0. 846) is in the next ranks and the lowest of them is justice with the value (0. 383). Other indicators had a coefficient of determination in the medium range.