scholarly journals Structural Vector Autoregressive Approach to Evaluate the Impact of Electricity Generation Mix on Economic Growth and CO2 Emissions in Iran

Energies ◽  
2020 ◽  
Vol 13 (16) ◽  
pp. 4268 ◽  
Author(s):  
Bahareh Oryani ◽  
Yoonmo Koo ◽  
Shahabaldin Rezania

This research attempts to evaluate the impact of renewable electricity generation mix on economic growth and CO2 emissions in Iran from 1980 to 2016. In this regard, by using EViews 10, the Structural Vector Autoregressive model (SVAR) is estimated by imposing the Blanchard and Quah long-run restrictions. The yearly data on real Gross Domestic Production (GDP), the share of electricity generation from renewable sources, and carbon dioxide emissions (CO2) caused by liquid, solid, and gaseous fuels were used. The positive impact of one standard deviation shock of increasing the share of renewable electricity on economic growth was confirmed by using Impulse Response Function (IRF). Contrary to the expectation, the share of renewable electricity in the energy mix is not at a desirable level to lower CO2 emissions, which partly could be explained by the dominant role of fossil fuel in Iran (as an energy-driven country). Moreover, the findings of Variance Decomposition (VD) verified the low share of electricity generated by renewable energy in explaining forecast error variations in economic growth and CO2 emissions. It indicates that in this stage of development, increasing the share of renewable electricity could not be considered as an appropriate strategy to control environmental issues. Therefore, initiating and implementing environmental policies could be considered as the most proper policies to lower CO2 emissions and to achieve the goal of sustainable development.

2020 ◽  
Vol 12 (19) ◽  
pp. 7965
Author(s):  
Oluyomi A. Osobajo ◽  
Afolabi Otitoju ◽  
Martha Ajibola Otitoju ◽  
Adekunle Oke

This study explored the effect of energy consumption and economic growth on CO2 emissions. The relationship between energy consumption, economic growth and CO2 emissions was assessed using regression analysis (the pooled OLS regression and fixed effects methods), Granger causality and panel cointegration tests. Data from 70 countries between 1994–2013 were analysed. The result of the Granger causality tests revealed that the study variables (population, capital stock and economic growth) have a bi-directional causal relationship with CO2 emissions, while energy consumption has a uni-directional relationship. Likewise, the outcome of the cointegration tests established that a long-run relationship exists among the study variables (energy consumption and economic growth) with CO2 emissions. However, the pooled OLS and fixed methods both showed that energy consumption and economic growth have a significant positive impact on CO2 emissions. Hence, this study supports the need for a global transition to a low carbon economy primarily through climate finance, which refers to local, national, or transnational financing, that may be drawn from public, private and alternative sources of financing. This will help foster large-scale investments in clean energy, that are required to significantly reduce CO2 emissions.


Author(s):  
Shemelis Kebede Hundie

Policy makers need to know the relationship among energy use, economic growth and environmental quality in order to formulate rigorous policy for economic growth and environmental sustainability. This study analyzes the nexus among energy consumption, affluence, financial development, trade openness, urbanization, population and CO2 emissions in Ethiopia using data from 1970–2014. The ARDL cointegration results show that cointegration exists among the variables. Energy consumption, population, trade openness and economic growth have positive impact on CO2 in the long-run while economic growth squared reduces CO2 emissions which confirms that the EKC hypothesis holds in Ethiopia. In the short-run urbanization and energy consumption intensify environmental degradation. Toda-Yamamoto granger causality results indicate the bi-directional causality between energy consumption and CO2 emissions, CO2 emissions and urbanization. Financial development, population and urbanization cause economic growth while economic growth causes CO2 emissions. Causality runs from energy consumption to financial development, urbanization and population which in turn cause economic growth. From the result, CO2 emissions extenuation policy in Ethiopia should focus on environmentally friendly growth, enhancing consumption of cleaner energy, incorporating the impact of population, urbanization, trade and financial development.


2017 ◽  
Vol 2 (2) ◽  
pp. 55-70 ◽  
Author(s):  
Ai Nur Bayinah

This paper is aimed to assess the contribution of Zakat in boosting Islamic banks’ financing and economic growth for the period 2011-2015, in 10 district/city of West Java Province, Indonesia. Through Vector Autoregressive (VAR) panel co-integration analysis, variance decompositions (VD) and impulse response functions (IRF), this study investigates Zakat, Islamic Banking, and economic growth nexus. Findings in this research highlight that Zakat has a significant impact on Islamic banking, so this institution would contribute to economic growth both in the short and the long run, with fluctuation in variance from the first year. The results lend support to the view that Zakat not only leads to social benefits but also has a positive impact on the economy through increasing Islamic banks’ financing. Therefore, this research will serve as a motivation for the industry players and regulators to continuously promote Zakat as a strategic policy. The originality of this research is to assess Zakat-led growth and finance by analyzing the impact of Zakat on the Islamic banking and regional economic outcome. Another novel aspect of this study is in the methodology as it employs VAR panel co-integration analysis, VDs and IRFs on the set of annual data. Keywords: Zakat, Islamic Banking Financing, Economic Growth, West Java


Author(s):  
Redwan Ahmed ◽  
Gabriela Sabau ◽  
Morteza Haghiri

The aim of this study is to empirically investigate the causal relationship between global CO2 emissions and six of their potentially contributing factors (i.e., economic growth, energy consumption, population, trade openness, financial development and corruption), by using a panel data collected from 65 countries during 1995 to 2013. We developed a dynamic model and used a four-step testing procedures (i.e., panel unit root tests, panel cointegration tests, long-run estimates, i.e. FMOLS estimates and a Granger causality test). The results showed that the most important factors driving global CO2 emissions were economic growth, energy consumption, corruption and financial development. It is recommended that countries develop their own CO2 reducing policies by designing an appropriate combination/mix of policy tools, such as regulation, economic, voluntary and educational/ informational instruments to address their environmental pollution. Countries could consider all dimensions of well-being when they measure their economic development. Imposing pollution taxes on fossil fuel based energy supplies, developing emissions standards, strengthening anti-corruption strategies and educating people about the adverse effects of CO2 emissions on the natural environment and human health are potential policy measures.


2021 ◽  
Author(s):  
Yuanyuan Wan ◽  
Ni Sheng

Abstract Green investment considers energy conservation and environmental protection as its main goals. Few studies based on simultaneous equation models have evaluated the relationships between green investment, clean energy consumption, carbon emissions, and economic growth. We use panel data from 30 provinces and cities in China from 2003 to 2017 to establish a simultaneous equation model that can evaluate these crucial relationships. At the national level, green investment has a significantly positive impact on clean energy consumption and economic growth; however, it has no significant effect on carbon dioxide emissions. Moreover, there is a U-shaped relationship between economic growth and clean energy consumption, as well as economic growth and CO2 emissions. When the per capita GDP is greater than 105735.92 (RMB), the use of clean energy will increase and CO2 emissions will decrease, thereby benefitting the environment and economy. Additionally, the impacts of green investment on clean energy differ in China’s eastern, central, and western regions, and the non-linear relationships between economic growth and clean energy consumption in these regions also differ. Based on these findings, countermeasures and suggestions are proposed to spur development within different regions.


2021 ◽  
Author(s):  
Fangjhy Li ◽  
Tsangyao Chang ◽  
Mei-Chih Wang ◽  
Jun Zhou

Abstract In the process of urbanization in developing countries, transportation infrastructure will be built and population migration will also occur. Although these actions can promote economic growth, they can also affect CO2 emissions. CO2 emissions will affect the health of residents, thereby changing health expenditures. The interaction of these three aspects is also a hot topic among scholars. The BRICS countries are emerging countries with the highest carbon dioxide emissions in the world. Discovering problems from empirical research is the focus of our research. This paper finds that, in the long-term, with CO2 emissions as the dependent variable and health expenditure and economic growth as the independent variables, there is a cointegration relationship between Brazil and China. In the short-term, there is a causal relationship between India’s CO2 emissions and health spending; other countries only show a one-way relationship between carbon dioxide emissions, medical spending, or economic growth. Our recommendations to the BRICS countries are as follows: (1) The BRICS countries should transform their economic development methods and use low-polluting alternative energy sources; (2) Brazil and India should pay attention to the indirect effects of economic growth and align economic growth policies with health expenditure policies. (3) South Africa should pay more attention to the sustainability of the impact of economic growth policies on health expenditures.JEL Classification: C22, E23, I18, O13,


2016 ◽  
Vol 55 (2) ◽  
pp. 95-111
Author(s):  
Syed Sundus Raza ◽  
Anwar Hussain

This paper estimate the impact of sectoral FDI on economic growth and carbon dioxide emissions in Pakistan. To this end, it uses time series secondary data from 1972 to 2011 and applies Auto Regressive Distributed Lag (ARDL) models. The results showed that FDI inflows in manufacturing, transport, storage and communication sectors and energy consumption have positive effect on the GDP growth of Pakistan. Besides, FDI inflow in manufacturing, transport, storage and communication sector and population density are responsible for the CO2 emissions in Pakistan. The results also validate Environmental Kuznet Curves in both long and short run. JEL Classification: E2, O4, Q5 Keywords: Sectoral FDI, CO2 emissions, Environmental Kuznet Curves, Gross Domestic Product Growth


Energies ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2124 ◽  
Author(s):  
Mariola Piłatowska ◽  
Andrzej Geise ◽  
Aneta Włodarczyk

This study examines the relationship between renewable and nuclear energy consumption, carbon dioxide emissions and economic growth by using the Granger causality and non-linear impulse response function in a business cycle in Spain. We estimate the threshold vector autoregression (TVAR) model on the basis of annual data from the period 1970–2018, which are disaggregated into quarterly data to obtain robust empirical results through avoiding a sample size problem. Our analysis reveals that economic growth and CO2 emissions are positively correlated during expansions but not during recessions. Moreover, we find that rising nuclear energy consumption leads to decreased CO2 emissions during expansions, while the impact of increasing renewable energy consumption on emissions is negative but insignificant. In addition, there is a positive feedback between nuclear energy consumption and economic growth, but unidirectional positive causality running from renewable energy consumption to economic growth in upturns. Our findings do indicate that both nuclear and renewable energy consumption contribute to a reduction in emissions; however, the rise in economic activity, leading to a greater increase in emissions, offsets this positive impact of green energy. Therefore, a decoupling of economic growth from CO2 emissions is not observed. These results demand some crucial changes in legislation targeted at reducing emissions, as green energy alone is insufficient to reach this goal.


2021 ◽  
Vol 3 (4(59)) ◽  
pp. 46-50
Author(s):  
Serhii Voitko ◽  
Tetiana Mazanko

The object of research is the processes of reducing economic activity in Ukraine and the world during COVID-restrictions, reducing the amount of carbon dioxide emissions in 2020 compared to 2019 by country and in various sectors of the economy. The most topical researches and publications in which the given questions are covered are analyzed. Based on statistical data, the paper shows a slight decline in Ukraine's GDP in 2020. Based on the consideration of the negative impact of quarantine restrictions, it was noted that the type of economic activity (EA) such as passenger transport suffered the most. At the same time, as the production of foreign trade, the performance of retail trade and construction has improved its dynamics. Elsewhere in the world, there has also been a slight economic downturn, while China has been able to maintain a slight increase in GDP. For 2021, there is a positive outlook for economic growth. The introduction of lockdowns and quarantine restrictions has led to a simultaneous reduction in CO2 emissions worldwide and reduced the negative impact on the environment. Thanks to the data of carbon dioxide emissions monitoring, it is possible to see a significant reduction in emissions since the beginning of COVID-restrictions in 2020. At the end of the year, the level of emissions reached almost the same level as before the restrictions, but the total volume for the year decreased significantly. If to look at the sectors, the largest amount of carbon dioxide emissions decreased in the aviation sector. This also applies to the land transport sector. Peaks of falling CO2 emissions occur in April 2020. The study showed that the reduction in economic activity due to «lockdowns» and quarantine restrictions affected the fall in energy consumption, especially in the aviation and land transport sectors, and this, in turn, led to a reduction carbon dioxide. This duly explains the relationship between declining economic growth and reducing CO2 emissions. The conducted research will be of interest to relevant ministries and departments in terms of their areas of responsibility, relevant organizations dealing with environmental and economic research, specialists who study and use in practice research on socio-economic problems of society.


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