Showing 6 results for Emission
Dr Mohammad Hassan Fotros, Javad Baraty,
Volume 1, Issue 1 (10-2010)
Abstract
The power sector in Iran accounts for a share of 28.2 percent of the total CO2 emissions, so it is the biggest emitter of greenhouse gases. This study uses Logarithmic Mean Divisia Index (LMDI) technique to examine the role of five factors (economic growth, fuel intensity, electricity intensity, structure and quality of fuel) influencing CO2 emissions of the Power Plant sector in the period 1997-2008. Thermal efficiency and the fuel mix effects have been analyzed to determine the factors affecting changes in CO2 emissions index. The results show that the economic growth has the highest effect on the increase of CO2 emissions in the power sector during the whole period of study. Then, fuel quality effect, fuel intensity effect and the structure of production effect respectively, have influenced the growth of CO2 emissions. Changes in fuel mix have had the greatest effect on the increase of CO2 emission index, especially for the period 1387-83. Emission index displays that combined cycle power plant has the least emission index among all types of thermal power plants and hence it is the most suitable thermal power plant for the environment amongst thermal power plants .
Dr Majid Maddah, Forough Noe Iran,
Volume 3, Issue 10 (12-2012)
Abstract
Informal economy i.e. unrecorded economy, is one of the important problems in developing countries which affects the efficiency of economic activities in formal sector. Informal economy is also an important source of air pollution.
This paper aims at estimating informal economy in Iran over the period 1980-2009 based on the mount of CO2 emissions and the country forest areas and using Kalman Filter approach. The results indicate that: 1) there is a significant and long run relationship between CO2 emissions, the size of forest areas and firm’s industrial activities and total national product, 2) Total national product is more than recorded data in the study period so the existence of informal economy can’t be rejected during this period. 3) The average share of informal economy in total GDP is about 35.6 %.
Samira Motaghi,
Volume 8, Issue 30 (12-2017)
Abstract
The present paper reviews the impact of the development situation of 3 groups of selected developing countries on environment over the period of 1990 – 2014 using by Environment Kuznets Curve (EKC) hypothesis. For this, it uses economic, social, human and political development factors with the variables that are as follows: GDP, GDP2 and energy consumption as economic development indicators, Urbanization as social and life expectancy at birth and fertility rates as human development indicators and good governance used as political indicator. The results show an inverted U-shaped relationship real GDP per capita and CO2 emission in oil-exporting and whole sample and a U-shaped in non-oil – exporting countries. In addition, the estimated results show a meaningful relationship between the CO2 emission and real GDP, energy use fertility rate, expectancy at birth and urbanization (development situation) in all three groups of the country.
Somayeh Azami, Latif Poor-Karimi, Sahar Sadri,
Volume 9, Issue 31 (3-2018)
Abstract
The purpose of this study is to evaluate environmental productivity changes in Iranian manufacturing industries, with two-digit ISIC codes, during 2003-2014. For this purpose, Meta-frontier Non-radial Malmquist CO_2 emission Performance Index (MNMCPI) is used. This index considers technological heterogeneities of industries. Empirical results indicate that, during 2003-2014, MNMCPI has grown, on average; the highest growth rate belongs to industries with medium technology. Also, all three indices of EC, BPC and TGC, as MNMCPI components, experienced growth, on average. TGC has the greatest impact in industries with medium technology while BPC has the greatest impact in industries with high and low technology. In general, BPC had the greatest effect on MNMCPI growth.The highest growth rate in EC index is observed in industries with low technology and the highest growth rates in BPC index, which shows the effect of innovation, and in TGC index are observed in industries with medium technology. Therefore, based on TGC index, industries with medium technology level are leading technological industries. Rregression analysis shows that energy intensity has a negative and significant effect and R&D has a positive significant effect on MNMCPI.
Maryam Hajipour Apourvari, Mehdi Nejati, Mojtaba Bahmani, Sayyed Abdolmajid Jalaee,
Volume 14, Issue 51 (5-2023)
Abstract
The increase in greenhouse gas emissions is one of the crises in today's world. Because it doubles global warming and environmental pollution. The increase in greenhouse gas emissions has encouraged many countries to substitute renewable energy instead of fossil fuel. The effective use of green energy such as renewable energy and nuclear energy is highly dependent on the technology used in the production of this type of energy. For this reason, the aim of this study is to investigate the impact of importing information and communication technology goods on renewable energy production in Iran. In this research, has been used the Computable general equilibrium model based on the social accounting matrix of 2014. The results show that in all scenarios, the production of fossil electricity in both peak and base times, as well as the production of ICT goods, will decrease because with the release of the import of these goods, foreign ICT goods will replace domestic ones and the production of these goods will be domestic. Also, the production of other sectors has increased and the largest increase is related to the gas sector. By applying the first scenario (10 to 100% change in tariff, without change in the productivity of production factors related to the production of renewable energies), with the further reduction of the tariff, the production of renewable electricity will also decrease in both peak and base times, but when The fact that the import of ICT goods is accompanied by a 3, 5 and 7 percent increase in the productivity of the production factors related to the production of renewable energies (scenarios two to four) will increase the production of renewable electricity in the base load. The production of renewable electricity at peak load has decreased in all scenarios and the results do not change with the increase in efficiency. By reducing the tariff on the import of ICT goods, the amount of CO2 emissions will decrease. Also, as the productivity of the production factors related to the sector of renewable energy production increases, CO2 decreases to a greater extent. It should be noted that with the reduction of the tariff on the import of ICT goods, the price of the goods has decreased in the investigated sectors. As a result, reduce the pollution caused by the consumption of fossil fuels and use them optimally.
Hayedeh Nourozi, Rouhollah Shahnazi, Ebrahim Hadian, Zakaria Farajzadeh,
Volume 14, Issue 52 (9-2023)
Abstract
Economy and environment are two interdependent systems; In recent decades, the global environment, as the most important global public good, has been heavily influenced by the negative external effects of economic growth, including climate change. In order to internalize these external effects, the use of tracking tax is a recommended method. One of the most important models designed for the integrated study of economy and climate is the Nordhaus RICE model; Of course, with the limitation that in this economic growth model, it is included exogenously. In this study, the aim of endogenizing the economic growth of the RICE model and determining the tax rate in 6 scenarios including 1) the base scenario 2) the optimal emission control rate application scenario 3) the 2°C temperature limit scenario 4) the discounted Stern scenario 5) the calibrated Stern scenario and 6) Copenhagen scenario. The results show that in the endogenous growth model, the ratio of taxes to net domestic production and CO2 emissions should increase over time. In all scenarios of Iran's endogenous growth model (except the base scenario), tax increases between 2022 and 2122 will reduce industrial CO2 emissions and reduce atmospheric carbon concentration. Finally, by applying the specified optimal tax in all scenarios, temperature changes have increased by less than two degrees Celsius.
