جستجوی مقالات مرتبط با کلیدواژه « Consolidated Data » در نشریات گروه « اقتصاد »

Planning and policy making in the field of economic growth as one of the major macroeconomic goals requires special attention to the energy sector, environment and its relation to production. Undoubtedly, the production and increase of pollution is the result of the economic growth of the countries. This issue can be expressed in the context of the environmental economics, in the context of the Kuznets environmental curve, in which the process of environmental degradation is explained according to the nature and stages of economic growth. In this study, the effect of economic growth on emissions of greenhouse gases and air pollution was investigated using panel data method during the period of 2010-2018. For this purpose, the effect of real GDP per capita, per capita consumption of energy, the value added of the industrial sector from the actual GDP and the per capita GDP of the manufacturing plants on the per capita emissions of carbon dioxide gas (as the most important greenhouse gas) was estimated. The results indicate a N-shaped relationship between real per capita GDP and per capita carbon dioxide emissions and the confirmation of Kuznets' environmental theory in these countries. Also, evidence suggests that energy per capita variables, the value added share of the industry from real GDP, and the value added of productive productions have a positive effect on per capita carbon dioxide emissions.

This paper studies the reciprocal effects of the two important socioeconomic issues, i.e. inequality of income- health through definition of two indices of health in 30 provinces of the country during 1982-2006. Evaluation of the model in the framework of the said analytical and consolidated data is stable in Pool System and fixed effects method. Although health depends on both factors of average income and income inequality, but based on the investigations, the society health is more influenced by income inequality. Therefore, we can see more health in the society with lower income inequality. The inter-provincial studies performed in various income groups shows that the income inequality is more effective on health of society in the provinces with high and low income. The general conclusions gained from social variables indicate that health situation has positive correlation with education or training; health care and number of insured and also health has strong negative correlation with income inequality and finally weak positive correlation with income average.