سیاستگذاریهای اقتصادی و مالی در حوزههای فوقالذکر در سطوح ملی، منطقهای و جهانی
javaher latifi; Ali Sayehmiri; asma shirkhani
Abstract
The Ecological Footprint Index measures the human demand for natural resources, which leads to climate change, biodiversity loss, soil degradation, and environmental pollution. This study uses data from 1980 to 2021 and the Threshold Autoregressive (TAR) method to examine the effects of energy consumption, ...
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The Ecological Footprint Index measures the human demand for natural resources, which leads to climate change, biodiversity loss, soil degradation, and environmental pollution. This study uses data from 1980 to 2021 and the Threshold Autoregressive (TAR) method to examine the effects of energy consumption, economic growth, globalization, and financial development on the ecological footprint in Iran. The results reveal that the impact of variables on the ecological footprint depends on the initial energy consumption threshold (3.6 exajoules). In both lower and higher regimes of this threshold, energy consumption and globalization positively and significantly contribute to increasing the ecological footprint, with these effects being significantly amplified in the higher regime. Additionally, economic growth significantly impacts the ecological footprint only in the higher regime, indicating the adverse effects of advanced economic development on the environment. Financial development, on the other hand, negatively and significantly affects the ecological footprint in both regimes, demonstrating its potential to reduce environmental pressures. However, this mitigating effect is stronger in the lower regime. Therefore, it is essential to devise effective strategies to reduce fossil fuel consumption and improve energy efficiency during advanced stages of economic growth to alleviate environmental pressures.
Masoud Cheshmaghil; Javad Shahraki; Reza Ashraf Ganjoei
Abstract
This study uses a Dynamic Computable General Equilibrium (DCGE) model, Iran’s 2011 Social Accounting Matrix (SAM), and 1970–2022 data in R software to examine the impact of uncertainties in hydroelectric energy consumption, urbanization, natural resource rents, industrial output, and per ...
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This study uses a Dynamic Computable General Equilibrium (DCGE) model, Iran’s 2011 Social Accounting Matrix (SAM), and 1970–2022 data in R software to examine the impact of uncertainties in hydroelectric energy consumption, urbanization, natural resource rents, industrial output, and per capita income on Iran’s ecological footprint. Five scenarios with 5% increases in each variable were tested via Monte Carlo simulations. Sensitivity analysis showed that a 5% rise in hydroelectric energy consumption (Scenario 1) cut the footprint by 2.124%, underscoring clean energy’s role. Conversely, urbanization (Scenario 2) led to a negligible increase (2.06E-46%), indicating efficient urban planning. Natural resource rents (Scenario 3) most adversely increased the footprint by 3.122% from unregulated exploitation. Industrial output (Scenario 4) rose negligibly (0.002%) due to green tech, while per capita income (Scenario 5) saw a 1.74E-05% increase. The findings stress prioritizing clean energy, regulating resource extraction, and advancing sustainable industry.
• مطالعات اقتصادی مرتبط با حاملهای انرژی (فسیلی، تجدیدپذیر و برق)
Esmaeel Safarzadeh; Ensieh Shad Ostanjin
Abstract
Increasing global warming is the result of the gradual accumulation of greenhouse gases in the living environment. Energy production systems in general and electricity production in particular is one of the effective factors in the production of greenhouse gases. Therefore, on the one hand, environmental ...
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Increasing global warming is the result of the gradual accumulation of greenhouse gases in the living environment. Energy production systems in general and electricity production in particular is one of the effective factors in the production of greenhouse gases. Therefore, on the one hand, environmental considerations and on the other hand, the limitation of fossil resources have made it necessary to change the energy production system and replace fossil fuels. In this regard, the use of renewable energy resources such as hydropower can be a good alternative to fossil fuels. This article has studied the effect of hydropower consumption on Iran's environment. Hence article has estimated the short-run and long-run relationship between hydropower consumption and different measures of environmental degradation including ecological footprint, carbon footprint, and CO2 emission in the Iranian economy during 1980-2018. For this purpose, the Autoregressive distributed lag (ARDL) approach has been used. The estimation of the specified models indicates the existence of a long-run relationship between the variables included in these models and shows that in the short and long run, there is a significant negative relationship between hydropower consumption and carbon dioxide emissions, and carbon footprints. In other words, the use of hydropower in the short and long run reduces the carbon footprint and emissions of carbon dioxide. Hydropower also affects the ecological footprint in the short run.
Arian Daneshmand; Mojgan Rostamirad
Abstract
The objective of this study is to investigate policy shocks to the ecological footprints of 33 oil-exporting countries for the period 1961-2017. For this purpose, we apply the panel stationarity tests with both sharp and smooth breaks developed by Bahmani-Oskooee et al. (2014) and Carrion-i-Silvestre ...
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The objective of this study is to investigate policy shocks to the ecological footprints of 33 oil-exporting countries for the period 1961-2017. For this purpose, we apply the panel stationarity tests with both sharp and smooth breaks developed by Bahmani-Oskooee et al. (2014) and Carrion-i-Silvestre et al. (2005) to test the persistence of shocks on environmental degradation. The overall results suggest that shocks to the ecological footprint as an indicator of environmental degradation in oil-exporting countries have temporary effects. In other words, the ecological footprint under the two assumptions of long-term homogeneous variance and long-term heterogeneous variance has a mean-reverting behavior. The results of the univariate test also reveal that the ecological footprint is stationary at a 10% significance level for all oil-exporting countries except Canada, Congo, Egypt, Indonesia, and Iran. This implies that policymakers should design effective long-run policies to reduce the ecological footprint in these countries.
سیاستگذاریهای اقتصادی و مالی در حوزههای فوقالذکر در سطوح ملی، منطقهای و جهانی
rezvan hemati; musa khoshkalam khosroshahi
Abstract
Environmental degradation is one of the most important concerns in developing countries. One of the most important indicators whose study helps to understand the extent of the world's support for improving the quality of the environment is the ecological footprint (EF). EF is an indicator that shows ...
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Environmental degradation is one of the most important concerns in developing countries. One of the most important indicators whose study helps to understand the extent of the world's support for improving the quality of the environment is the ecological footprint (EF). EF is an indicator that shows the environmental constraints and the extent of human encroachment on these constraints. Numerous factors such as energy consumption, etc. are effective on the EF, but on the one hand due to the effective role of economic freedom and governance in the EF, and on the other hand, due to the lack of interaction between these two variables on the EF in any domestic studies, the purpose of this paper is to investigate the interaction of economic freedom and governance on the EF of selected developing countries during the period 1971-2017 and two econometric models (The first model: the effect of economic freedom and governance as independent variables on the EF and the second model: the interaction of economic freedom and governance on the EF) in the form of panel data method have been used. The results of the first model indicate that the effect of economic freedom and governance on the EF of selected developing countries are positive (and significant) and negative (and significant), respectively, but the results of the second model estimate indicate that the interaction of economic freedom and governance on the EF of selected developing countries is negative and significant.
