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.

scholarly journals Causal Link in Carbon Dioxide (CO2) Emission, Energy Consumption and Economic Growth: Evidence from Selected Southeast Asia Countries

2020 ◽  
Vol 8 (2) ◽  
pp. 1 ◽  
Author(s):  
Nur Hafizah Mohammad Ismail
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Energy Consumption ◽  
Southeast Asia ◽  
Carbon Dioxide Emissions ◽  
Energy Demand ◽  
Causal Link ◽  
Kuznets Curve ◽  
Growth Energy ◽  
Carbon Dioxide Co2

Southeast Asia countries have experienced rapid economic growth within past decades with significant increase in energy dependency and carbon dioxide (CO2) emissions. Continuous development in urban area has stimulated rise in energy consumption in many Southeast Asia countries which resulted in an improvement of citizen’s lifestyles and living standards due to increasing income and population. Understanding the relationship between economic growth, energy consumption and carbon dioxide emissions helps economies in formulating energy policies, enhancing energy security and developing a sustainability of energy resources. Therefore, this study focuses on the economic growth, energy consumption and carbon dioxide emissions evolved in Southeast Asia by using Environment Kuznets Curve theory. This paper could be useful and beneficial for the Southeast Asia countries to form appropriate environment policies in order to maintain the balance of energy demand and supply and dealing with environmental quality issues.   

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 between Carbon Dioxide Emissions, Economic Growth and Agricultural Production in Pakistan: An Autoregressive Distributed Lag Analysis

Energies ◽  
2019 ◽  
Vol 12 (24) ◽  
pp. 4644 ◽  
Author(s):  
Sajjad Ali ◽  
Li Gucheng ◽  
Liu Ying ◽  
Muhammad Ishaq ◽  
Tariq Shah
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Agricultural Production ◽  
Carbon Dioxide Emissions ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Short Run ◽  
Production Economic ◽  
Sorghum Production ◽  
The Relationship

This study aims to explore the casual relationship between agricultural production, economic growth and carbon dioxide emissions in Pakistan. An autoregressive distributed lag (ARDL) model is applied to examine the relationship between agricultural production, economic growth and carbon dioxide emissions using time series data from 1960 to 2014. The Augmented Dickey–Fuller (ADF), Phillips–Perron (PP) and Kwiatkowski–Phillips–Schmidt–Shin (KPSS) tests are used to check the stationarity of variables. The results show both short-run and long-run relationships between agricultural production, gross domestic product (GDP) and carbon dioxide emissions in Pakistan. From the short-run estimates, it is found that a 1% increase in barley and sorghum production will decrease carbon dioxide emissions by 3% and 4%, respectively. The pairwise Granger causality test shows unidirectional causality of cotton, milled rice, and sorghum production with carbon dioxide emissions. Due to the aforementioned cause, it is essential to manage the effects of carbon dioxide emissions on agricultural production. Appropriate steps are needed to develop agricultural adaptation policies, improve irrigation facilities and introduce high-yielding and disease-resistant varieties of crops to ensure food security in the country.

scholarly journals Causal Relationship Among Carbon Dioxide (CO2) Emissions, Renewable Energy, Population and Economic Growth in Bangladesh: An Empirical Study

2020 ◽  
Vol 11 (6) ◽  
pp. 196
Author(s):  
Shanjida Chowdhury ◽  
K. B. M. Rajibul Hasan ◽  
Mahfujur Rahman ◽  
K. M. Anwarul Islam ◽  
Nurul Mohammad Zayed
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Economic Development ◽  
Renewable Energy ◽  
Carbon Dioxide Emissions ◽  
Long Run ◽  
Short Run ◽  
The Government ◽  
Carbon Dioxide Co2 ◽  
Bound Test

Developing countries face environmental degradation crisis due to the consumption of nonrenewable energy for economic development induces ecological destruction. However, the consequences of environmental deterioration can no longer be overlooked. Using data from 1990 from 2018, this study scrutinized the long-run equilibrium along with the trend among consumption of renewable energy, carbon dioxide emissions, Population, and economic growth in Bangladesh. This study reveals the significant cointegration of renewable energy with controlled variables using the ARDL bound test. Also, ECM with ARDL unrestricted version enables us to decide the speed of adjustment is 27.647% addressed for short-run elasticity in the long run. Stability and further diagnostic tests are performed for model post estimation and validation. Also, it needs further steps from the government side to promote renewable energy that boosts economic development.

The effects of corruption control, political stability and economic growth on deforestation-induced carbon dioxide emissions

2011 ◽  
Vol 17 (1) ◽  
pp. 67-90 ◽  
Author(s):  
Gregmar I. Galinato ◽  
Suzette P. Galinato
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Carbon Dioxide Emissions ◽  
Turning Point ◽  
Forest Cover ◽  
Political Stability ◽  
Long Run ◽  
Forest Income ◽  
Short Run ◽  
Per Capita

AbstractThis article formulates an empirical model that measures the short- and long-run effects of political stability, corruption control and economic growth on CO2 emissions from deforestation. Political stability and corruption have significant effects on forest cover in the short run and have lingering long-run effects. We derive a U-shaped forest–income curve where forest cover initially declines as per capita income increases, but starts to rise after an income turning point. Political stability and corruption control do not significantly affect the income turning point but both variables shift the forest–income curve up or down. The resulting CO2 emission–income curve is downward sloping and is based on changes in the levels of variables affecting forest cover. Increased political stability flattens the CO2 emissions–income curve, leading to smaller changes of CO2 emissions per unit change in income.

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.

Sign in / Sign up

Export Citation Format

Share Document