توسعه مالی
Somayeh Azami; Alireza Nokani
Abstract
Financial development plays an important role in economic development and growth. But the question is what effect does financial development have on the quality of the environment? The purpose of this study is to investigate the effect of different indicators of financial development on carbon dioxide ...
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Financial development plays an important role in economic development and growth. But the question is what effect does financial development have on the quality of the environment? The purpose of this study is to investigate the effect of different indicators of financial development on carbon dioxide emissions. Considering different financial development indicators, using principal component analysis (PCA), a composite index of financial development is constructed. The biggest role in the construction of the main component is the index of the percentage of bank deposits to GDP. The estimation of linear and non-linear ARDL model shows that renewable energy significantly leads to reduction of emissions and improvement of environmental quality, and Kuznets environmental curve is confirmed in Iran. Also, financial development has a long-run effect on carbon dioxide emissions. The Non-linear ARDL results indicate that the positive shock of financial development leads to a significant increase in carbon dioxide emissions, but the negative shock of financial development does not have a significant effect on carbon dioxide emissions. Therefore, financial development in Iran has not yet led to the achievement of environmentally friendly technologies, and considering the role and importance of financial development in economic growth and development, it is recommended to produce and consume renewable energy along with financial development in Iran to neutralize the effects of The negative environmental impact of financial development should be increased to achieve sustainable development.
Maryam Ramezani; Yeganeh Mousavi Jahromi; Mojgan Moallemy; Ali Reza Sharif Moghadasi
Abstract
Economic vulnerability, is a country’s structural feature, making it exposed by out-of-control economic exogenous variables.On the other hand, resilience stems from how macroeconomic policies are adopted.The purpose of this article is to analyze the relationship between sustainable development, ...
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Economic vulnerability, is a country’s structural feature, making it exposed by out-of-control economic exogenous variables.On the other hand, resilience stems from how macroeconomic policies are adopted.The purpose of this article is to analyze the relationship between sustainable development, vulnerability and resilience in the Iran's economy in the time period of 1391-1398.In this way, sustainable development consists of 5 Dimensions: Economic, Social, Environmental, Governance, Peripheral and also includes 44 variables as a sub-indicator of each development's dimension. It uses graph theory and Tarjan Algorithm for study the network structure of relationships between variables. The Algorithm identifies34 variables as the fundamental variables affecting economic resilience and vulnerability and introduces economic and governance Dimensions as control (major) Dimensions; Social, Environmental and Peripheral Dimensions as Contingent (minor) Dimensions.The results show that weakness of Iran's economy in this period was due to vulnerability and resilience in governance and economy Dimensions.Among the contingent Dimensions, the Peripheral dimension has the worst situation in terms of vulnerability and resilience.The innovation of this research is in studying the Dimensions of sustainable development and its effect on vulnerability and resilience, moreover graph theory has been used in order to study the influential variables for the first time in Iran. In this algorithm, without limiting the number of input variables, the phenomenon can be analyzed comprehensively. furthermore, a holistic table has been prepared, by focusing on the variables affecting the state of vulnerability and resilience in the theoretical foundations of the subject, that has not been shown in any other studies.
ا
mehdi shabanzadeh; emran taheri; farshid Farshid Riahi Dorche
Volume 7, Issue 27 , July 2017, , Pages 143-156
Abstract
Iran as a developing country, having massive energy resource endowments is one of the examples of growth pattern with pressure on natural resources. energy as inputs in agriculture of Iran has particular importance. Reviewing the energy consumption in the agricultural sector, shows that, along with increased ...
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Iran as a developing country, having massive energy resource endowments is one of the examples of growth pattern with pressure on natural resources. energy as inputs in agriculture of Iran has particular importance. Reviewing the energy consumption in the agricultural sector, shows that, along with increased production and consumption of energy, including oil products and electricity, the value added of this sector is increased during the different years. But the fundamental question that arises is what causes the expansion of energy consumption in the agricultural sector of Iran. Is this increase was influenced by the expansion of trade and development? With this approach, in this study was investigated the relationship between economic development, diversification, trade liberalization and energy intensity in agriculture of Iran. In order to achieve this goal, by using modeling algorithms Fomby, relationship between diversification index, the share of agriculture in GDP and trade liberalization with energy intensity identifying and then in the framework of Johansen-Juselius cointegration model was examined for the period 1981-2012. The drought in 2008 as an effective dummy variable were considered in the short term. The results of this study showed existence of long-term relationship between the variables. So that, the effect of diversification and trade liberalization on energy intensity were positive and effects of share of agriculture was negative on energy intensity. The diversification was the most effective variable on energy intensity index. Because with a 1% increase in diversification, energy intensity will be reduced by 12.31%. The error correction coefficient was significant at the level of 1%. This subject shows that energy intensity shall be adjusted towards the long-run equilibrium by 0.09% per year.
Seyed Kamal Sadeghi; Zahra Karimi Takanlou; Mohammad Ali Motefakker Azad; Hossein Asgharpour Ghourchi; Yaghoub Andayesh
Volume 5, 17(2) , October 2015, , Pages 30-13
Abstract
In recent decades the more releaseing emissions from energy consumption, have had more damaging effects on the environment. The share of some of the manufacturing sectors have been more than other sectors and may vary from one country to another one. However, each country have the capacity to absorb ...
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In recent decades the more releaseing emissions from energy consumption, have had more damaging effects on the environment. The share of some of the manufacturing sectors have been more than other sectors and may vary from one country to another one. However, each country have the capacity to absorb pollutants by its biological status. Carbon, Methane and Nitrous Oxide are the most important greenhouse gases that are emitted more than their biological potentials having harmful effects on the environment. In this paper, the footprint of these gases of agriculture sub-sectors is studied by using Social Accounting Matrix 1390. The results indicate that the total Carbon footprint, Methane and Nitrous Oxide are respectively 646 million tons, 51 thousand tons and 12 thousand tons and the share of agriculture sectors are 10.2 percent, 10.5 percent and 17 percent.Sub-sectors of wheat and animal husbandry have the biggest footprints.
Zahra Nasorllahi Nasorllahi; Fakhr-o-Sadat Salehi
Volume 2, Issue 7 , September 2012, , Pages 66-51
Abstract
Location of eco-industrial park is one of the most effective factors to achieve the sustainable development because eco-industrial park causes to coordinate goal of different groups: economic development planners, urban development planners, economic firms and environment objective. Therefore, the main ...
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Location of eco-industrial park is one of the most effective factors to achieve the sustainable development because eco-industrial park causes to coordinate goal of different groups: economic development planners, urban development planners, economic firms and environment objective. Therefore, the main purpose of this study is to determine the criteria influencing the location of industrial park according to sustainable development indicators. Study of existing literature shows that social, economic, environmental, infrastructure and planning factors are effective factors to locate industrial park according to sustainable development. Prioritization of criteria is according to Fuzzy AHP and triangular fuzzy number. The results of this study show that social and economic factors are the most important factors in location of industrial parks.
