scholarly journals Urbanization, economic growth, and carbon dioxide emissions in China: A panel cointegration and causality analysis

2015 ◽  
Vol 26 (2) ◽  
pp. 131-152 ◽  
Author(s):  
Yansui Liu ◽  
Bin Yan ◽  
Yang Zhou
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Carbon Dioxide Emissions ◽  
Panel Cointegration ◽  
Causality Analysis

scholarly journals Causality Analysis: Economic Growth, Economic Openness, Energy Consumption, and Carbon Dioxide Emission Indonesia

2021 ◽  
Vol 36 (2) ◽  
pp. 124
Author(s):  
Azhima Muhammad Fattah ◽  
Jaka Aminata ◽  
Indah Susilowati ◽  
Arief Pujiyono
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Economic Development ◽  
Energy Consumption ◽  
Carbon Dioxide Emissions ◽  
Causality Analysis ◽  
Economic Openness ◽  
Long Run ◽  
Short Run ◽  
Growth Economic

The purpose of this research is to analyze the causality between economic variables, i.e. economic growth, economic openness, and energy consumption to carbon dioxide emissions, and analyze short-run and long-run connections between research variables in Indonesia during the period 1971 to 2018. This research is using VECM analysis and Granger Causality. The results of the VECM analysis in this research show that in the short-run the variable carbon dioxide emissions in the previous period, economic openness, and energy consumption have a significant effect on carbon dioxide emissions in Indonesia, and in the long run, the variables of economic growth, economic openness, and energy consumption have a significant effect on carbon dioxide emissions in Indonesia. The Granger Causality analysis found a bidirectional causality between energy consumption and carbon dioxide emissions. It also found unidirectional causality between economic growth and carbon dioxide emissions. The recommendations that can be shared are that The Government of Indonesia should be more worried about the degradation in environmental quality in Indonesia as a result of economic development. On the other hand, in achieving sustainable economic development, the Indonesian Government must immediately use energy resources more efficiently and environmentally friendly

scholarly journals The relationship of economic growth and carbon-dioxide emissions: an application on member countries of Organization of Islamic Cooperation

2021 ◽  
Vol 20 (4) ◽  
pp. 813-833
Author(s):  
Muhammed Veysel Kaya ◽  
Suat Serhat Yilmaz ◽  
Mehmet Gökhan Özdemir
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Natural Resources ◽  
Carbon Dioxide Emissions ◽  
Carbon Dioxide Emission ◽  
Environmental Damage ◽  
Homogeneity Test ◽  
Annual Data ◽  
Causality Analysis ◽  
The Relationship

Motivation: Humanity has benefited from natural resources in production activities throughout history and this pressure on natural resources has increased even more with the efforts of industrialization. In this process, people benefited heavily from fossil fuels in their production and distribution activities, thereby damaging the environment and the atmosphere to a large extent. With the destruction of the environment, it has become important for the countries and the academic circles to measure environmental damage with the increase of economic activities in order to take various measures. Aim: At this point, in this study, the relationship between economic growth and carbon-dioxide emissions was examined within the scope of 50 countries that are members of the Organization of Islamic Cooperation (OIC). In this process, annual data of the countries concerned between 1995 and 2017 were used; Pedroni Cointegration Analysis, Granger Causality Analysis, Pooled Mean Group Estimator (PMGE) and Mean Group Estimator (MGE) methods were used to measure and estimate the relationship between these two variables. The causality analysis shows that the economic growth is the Granger cause of carbon-dioxide emissions in the country group studied. In addition, the coefficients obtained in PMGE and MGE analyzes were found as 0.43 and 0.33 and were statistically significant and positive. Then, with the help of Hausman Homogeneity Test, it was decided between the two estimators, and it concluded that PMGE Estimator is the more reliable estimator. Results: The results obtained with the PMGE estimator indicate that the 1% increase in economic growth increased carbon dioxide emission by 0.43%.

Causality between Energy Conservation and Economic Growth in China

2013 ◽  
Vol 291-294 ◽  
pp. 1251-1254
Author(s):  
Yun Bing Hou ◽  
Jian Min Wang ◽  
Sen Sen Shi ◽  
Xiao Zhang ◽  
Chun Lin Liu ◽  
...  
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Energy Conservation ◽  
Carbon Dioxide Emissions ◽  
Carbon Dioxide Emission ◽  
Emissions Reduction ◽  
Causality Analysis ◽  
Long Run ◽  
Equilibrium Relationship ◽  
The Relationship

The relationship between carbon dioxide emissions and economic growth is analyzed and the results show that there exists a long-run equilibrium relationship between carbon dioxide emissions and economic growth to clear some people’s mind of doubts that energy conservation and carbon dioxide emissions reduction policy will hamper the economic development. When GDP increases, the carbon dioxide emission will increase too. Causality analysis shows that the unidirectional causal relationship exists and the direction is from GDP to carbon dioxide emission. The result implies that when a certain technique of carbon dioxide emissions reduction is used, it can not only reduce the carbon dioxide amount but promote the growth of GDP. Energy conservation and carbon dioxide reduction can form a new economic growth industry. To fulfill the promise of carbon dioxide emissions reduction to the world, China should make policies based on the relationship between carbon emissions and economic growth.

Vicious Cycle of Economic Growth, Pm2.5 and COVID-19 Case of G7 Countries

2020 ◽  
Author(s):  
Rıdvan Karacan
Keyword(s):  
Economic Growth ◽  
Air Pollution ◽  
Particulate Matter ◽  
Fossil Fuels ◽  
Fine Particulate Matter ◽  
Panel Cointegration ◽  
Air Pollutant ◽  
Population Exposure ◽  
Causality Analysis ◽  
G7 Countries

<p>Today, production is carried out depending on fossil fuels. Fossil fuels pollute the air as they contain high levels of carbon. Many studies have been carried out on the economic costs of air pollution. However, in the present study, unlike the former ones, economic growth's relationship with the COVID-19 virus in addition to air pollution was examined. The COVID-19 virus, which was initially reported in Wuhan, China in December 2019 and affected the whole world, has caused many cases and deaths. Researchers have been going on studying how the virus is transmitted. Some of these studies suggest that the number of virus-related cases increases in regions with a high level of air pollution. Based on this fact, it is thought that air pollution will increase the number of COVID-19 cases in G7 Countries where industrial production is widespread. Therefore, the negative aspects of economic growth, which currently depends on fossil fuels, is tried to be revealed. The research was carried out for the period between 2000-2019. Panel cointegration test and panel causality analysis were used for the empirical analysis. Particulate matter known as PM2.5[1] was used as an indicator of air pollution. Consequently, a positive long-term relationship has been identified between PM2.5 and economic growth. This relationship also affects the number of COVID-19 cases.</p><p><br></p><p><br></p><p>[1] "Fine particulate matter (PM2.5) is an air pollutant that poses the greatest risk to health globally, affecting more people than any other pollutant (WHO, 2018). Chronic exposure to PM2.5 considerably increases the risk of respiratory and cardiovascular diseases in particular (WHO, 2018). For these reasons, population exposure to (outdoor or ambient) PM2.5 has been identified as an OECD Green Growth headline indicator" (OECD.Stat).</p>

Driving Factors Analysis of Carbon Dioxide Emissions in China Based on STIRPAT Model

2013 ◽  
Vol 734-737 ◽  
pp. 1910-1914 ◽  
Author(s):  
Qiao Zhi Zhao ◽  
Qing You Yan
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Carbon Dioxide Emissions ◽  
High Speed ◽  
Carbon Dioxide Emission ◽  
Urbanization Process ◽  
Stirpat Model ◽  
Factors Analysis ◽  
Secondary Industry

China is developing at relatively high speed, not only the regional development speed should be focused upon, but also the environmental impact of economic growth should be paid attention to, especially the level change of carbon dioxide emission. To some degree, quantity of carbon dioxide emission has become one of the most important indexes for measuring quality of a nations economic growth. Thus, this thesis is trying to analyze the driving relations between economic growth and carbon dioxide. Upon STIRPAT model, ridge regression method and elasticity theory are applied to analyze the influencing factors of carbon dioxide quantity such as the population quantity, Chinas urbanization process, per capita GDP, energy density and the percentage of the secondary industry. Correspondingly, based on the different influencing variables to carbon dioxide emission quantity, needy measures are brought out to control and decrease emissions. Feasible suggestions are trying to improve Chinas economic development quality.

scholarly journals Empirical Evidence from EU-28 Countries on Resilient Transport Infrastructure Systems and Sustainable Economic Growth

2018 ◽  
Vol 10 (8) ◽  
pp. 2900 ◽  
Author(s):  
Ştefan Gherghina ◽  
Mihaela Onofrei ◽  
Georgeta Vintilă ◽  
Daniel Armeanu
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Carbon Dioxide Emissions ◽  
Air Pollutants ◽  
Causal Link ◽  
Transport Infrastructure ◽  
Railway Transport ◽  
Inland Waterways ◽  
Short Run ◽  
Sustainable Economic Growth

This paper examines the nexus between the main forms of transport, related investments, specific air pollutants, and sustainable economic growth. The research is important since transport may act as a facilitator of social, economic, and environmental development. Based on data retrieved from Eurostat, Organisation for Economic Co-operation and Development (OECD), and World Bank, the output of fixed-effects regressions for EU-28 countries over 1990–2016 reveals that road, inland waterways, maritime, and air transport infrastructure positively influence gross domestic product per capita (GDPC), though a negative link occurred in the case of railway transport. As concerning investments in transport infrastructure, the empirical results exhibit a positive impact on economic growth for every type of transport, except inland waterways. Besides, emissions of CO2 from all kind of transport, alongside other specific air pollutants, negatively influence GDPC. The fully modified and dynamic ordinary least squares panel estimation results reinforce the findings. Further, in the short-run, Granger causality based on panel vector error correction model pointed out a unidirectional causal link running from sustainable economic growth to inland waterways and maritime transport of goods, albeit a one-way causal link running from the volume of goods transported by air to GDPC. As well, the empirical results provide support one-way short-run links running from GDPC to investments in road and inland waterway transport infrastructure. In addition, a bidirectional short-run link occurred between carbon dioxide emissions from railway transport and GDPC, whereas unidirectional relations with economic growth were identified in the case of carbon dioxide emissions from road and domestic aviation. In the long-run, a bidirectional causal relation was noticed between the length of the railways lines, investments in railway transport infrastructure, and GDPC, as well as a two-way causal link between the gross weight of seaborne goods handled in ports and GDPC.

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