جستجوی مقالات مرتبط با کلیدواژه « dynamic panel » در نشریات گروه « اقتصاد »

The quality of the environment and its protection is one of the important issues in the field of management of countries. Therefore, all countries, along with growth and development policies, try to prevent environmental degradation by enacting laws and regulations in the national sphere and also by creating international agreements. In the meantime, in order to adopt appropriate policies in the field of economic growth and environmental quality, conducting more detailed studies can help policy makers in this regard. The purpose of this study is to investigate the interrelationships of three important variables of economic growth, degree of trade openness and carbon dioxide emissions in the group of developed countries. For this purpose, the annual data of 29 developed countries for the period 2017-2000 from the World Bank website have been used. The econometric approach used in this work is to estimate the relationships of these variables using dynamic panel data using the GMM method. The estimation results show that by increasing the degree of commercial openness and carbon dioxide emissions, economic growth is enhanced. Venice Economic growth also has a positive effect on the volume of foreign trade, but carbon dioxide emissions limit it. On the other hand, economic growth leads to increased carbon dioxide emissions and the growth of foreign trade reduces the intensity of carbon dioxide emissions.

The purpose of this paper is to investigate the effect of financial and trade liberalization on stock market fluctuations in 25 selected developing countries between 2001-2019 using a multivariate mushroom model to calculate fluctuations and generalized torque method. Based on the findings of the multivariate mushroom approach, there is a positive and significant relationship between financial and trade liberalization and the stock market fluctuations in this group of countries. Investigating the effect of financial and trade liberalization on stock market volatility using the generalized dynamic torque panel regression model shows a positive relationship between financial and trade liberalization and inflation with stock market volatility and also shows an inverse relationship between per capita income and financial liberalization and trade with it. Based on the results, it is suggested that economic policymakers, when implementing financial and trade liberalization policies, should take it into account that this liberalization is both an opportunity and a threat to domestic capital markets. Accordingly, imposition of financial and trade liberalization measures are recommended simultaneously and in a regulatory context.

Financial development is one of the important issues that has always been of particular importance to the economy of any country. It is impossible to achieve economic growth and development without efficient financial institutions and adequate financial resources. The determinants of the level of financial development in countries include qualitative factors including political environment, institutional, legal and information infrastructures, regulation and supervision. Although there are many factors affecting financial development and there are many studies and theories in this area, what has been the least considered is the impact of qualitative and institutional factors on financial development. The main purpose of this study is to investigate a group of important non-economic and qualitative factors on financial development. To this end, we examined the impact of the average of 3 indices ICRG as an indicator of quality of institutions, the POLITY IV index of democracy, and the property rights, on banking indices as an indicator of financial development for 27 developing countries in Eurasia during the years 1999-2015. Based on this, a panel data econometric model was defined and estimated by the GMM method. The results of this study indicate that high quality of institutions, higher democracy and protection of property rights have a positive and significant effect on financial development in the countries studied.

The distribution of income, which means the distribution of national income between groups, social classes and economic sectors, is one of the main components of social justice. There are many factors affecting the income distribution. The purpose of this study is to identify the effect of unemployment rate along with other major factors related to income distribution in Iran’s provinces. For this purpose, the annual data for Iran’s provinces during 1999 to 2014, with DOLS estimator have been analyzed. The results show that increasing unemployment in the long run will increase the income inequality in the provinces. Also, inflation rate, economic growth rate and current government spending increase the Gini coefficient in the long run. Error correction model results indicate that, unemployment and government size variables have no significant relationship with the dependent variable in the short run. However Inflation rate and economic growth rate have a positive relationship with inequality in the short run.