جستجوی مقالات مرتبط با کلیدواژه « carbon dioxide emissions » در نشریات گروه « اقتصاد کشاورزی »

The country's economic growth depends on energy consumption, and increasing energy consumption also increases environmental pollution. Therefore, management of energy consumption in different economic sectors with the aim of controlling pollution is necessary. The purpose of this study is to estimate the share of inputs in production, substitution between inputs and also to investigate the effects of energy substitution on pollution emissions and energy storage in Iran's economic sectors.To achieve these goals, the translog production function is used. Relevant statistical data for the period 1981 to 2017 have been collected from the Central Bank, the Statistics Center of Iran and the Ministry of Energy.The results showed that the amount of capital stock, the number of labor force and the amount of energy consumed are substitutes for each other. It was 1 percent and 1.247 percent.

In the present study, Using the Co-integration analysis in panel data, short and long term relationship between carbon dioxide emissions, per capita income, energy consumption, trade openness index and urbanization In the MENA region during the period 1995- 2012 were assessed. The results showed N-shape relationship between income and emissions. The effect of energy consumption variable was significance at high level of statistical, So that by 10 percent increaseing per capita energy consumption is expected that per capita emissions Increased in the long-term and short-term respectively about 6 and 3 percent. trade openness index with little effect, increases the pollution. The effect of urbanization variable on per capita emissions was not statistically significant.

During recent decades, the importance of environmental issues, all countries are trying to plan properly and using appropriate methods, not only to achieve their economic goals, but also to minimize the environmental damage caused by economic growth. Accomplish this without the knowledge of the relationship between economic activity and environmental pollution and the interplay between them is not possible and the problem for developing countries such as Iran, which is still in the early stages of economic development, has become more important. In this paper, short-run and long-run relationship between energy consumption, carbon dioxide emissions (as an indicator of environmental pollution), using data from 1974-2011 of Iran were studied. To investigate the relationship between the variables, the econometric regression methods Distributed Lag (ARDL) were used. The results showed that carbon dioxide emission relative to environmental degradation and its value in the long-run elastic 2.27. According to the results of variable energy consumption and carbon dioxide emissions significant positive and a long-term relationship with environmental degradation. In this case, the increase of energy consumption and carbon dioxide emissions further, environmental degradation is more; the comparison results show that short-run and long-term relationships Energy consumption in the short term greater impact on environmental degradation and destruction of carbon dioxide emissions in the long-run have a greater impact on the environment. The results show that the imbalance short term after two terms are moderated.

Environmental degradation is one of the most controversial issues in the economic environment has become. With the increase in greenhouse gases such as carbon dioxide، the risk of global warming، rising sea levels، as well as major changes in natural ecosystems is encountered. In the present study the long-term and short-term variations in carbon dioxide intensity of energy، economic growth and openness، in terms of the environmental Kuznets hypothesis using a distributed lag model autoregresive (ARDL) during the years 1965-2011 for Iran has been investigated. The results showed that both long-term and short-term relationship with third (N-shapes) Kuznets hypothesis is confirmed. In addition، the openness variable is not significant in the long run but in the short-term direct effect on carbon dioxide emissions. Also، long-term energy intensity variable is positive and significant effect on carbon dioxide emissions and the coefficient of this variable (0. 86) obtained which indicates that for every one percent increase in energy intensity is less than one percent of the size 0. 86% resulted in an increase in carbon dioxide emissions. This must be done in order to improve energy efficiency and reduce carbon dioxide emissions.