Stationarity properties of per capita CO2 emissions in the OECD in the very long-run: A replication and extension analysis

2020 ◽  
Vol 90 ◽  
pp. 104868
Author(s):  
Sefa Awaworyi Churchill ◽  
John Inekwe ◽  
Kris Ivanovski ◽  
Russell Smyth
Keyword(s):  
Co2 Emissions ◽  
Long Run ◽  
Per Capita ◽  
Extension Analysis

scholarly journals Financial Market Development and Pollution Nexus in Saudi Arabia: Asymmetrical Analysis

Energies ◽  
2018 ◽  
Vol 11 (12) ◽  
pp. 3462 ◽  
Author(s):  
Haider Mahmood ◽  
Abdullatif Alrasheed ◽  
Maham Furqan
Keyword(s):  
Saudi Arabia ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Financial Market ◽  
Market Development ◽  
Kuznets Curve ◽  
Long Run ◽  
Short Run ◽  
Per Capita ◽  
Financial Market Development

The study is aimed to scrutinize the presence of Environmental Kuznets Curve (EKC) hypothesis in Saudi Arabia by analyzing a period of 1971–2014. Asymmetrical impacts of Financial Market Development (FMD) and energy consumption per capita have also been tested on CO2 emissions per capita. The estimates buoyed the long and short-run relationships in the hypothesized model, and EKC is found to be true in terms of the relationship between income and pollution. Asymmetrical effects of FMD in the long run and asymmetrical effects of energy consumption per capita in the long and short run are presented on the CO2 emissions per capita. A decreasing FMD is found responsible for environmental degradation, and decreasing energy consumption per capita is found helpful in controlling CO2 emissions. The tested effect of the financial crisis is found insignificant on CO2 emissions.

scholarly journals Exploring Economic Growth and Environment Nexus in Nine Southeastern European Countries

2018 ◽  
Vol 56 (2) ◽  
pp. 253-268
Author(s):  
Petar Mitić ◽  
Slobodan Cvetanović
Keyword(s):  
Economic Growth ◽  
Co2 Emissions ◽  
Renewable Energy Sources ◽  
Gdp Per Capita ◽  
Speed Of Adjustment ◽  
Long Run ◽  
Short Run ◽  
Policy Measures ◽  
Per Capita ◽  
Trading Scheme

Abstract This paper investigates the interdependence between environmental degradation (CO2 emissions) and economic growth (GDP per capita) in nine SEE countries over the period 1992 – 2016. The results of Granger causality testing indicate that in the short run there is a positive bidirectional causal relationship between CO2 emissions and GDP per capita, but in the long run, there is causality running just from GDP per capita to CO2 emissions, with the 2.0279% speed of adjustment. In pursuit of adequate policy measures, SEE countries need to work on inclusion of non-EU countries into European Union’s Emissions Trading Scheme, further developing carbon taxation policies and using renewable energy sources on a larger scale.

scholarly journals Revisiting the Dynamics of Tourism, Economic Growth, and Environmental Pollutants in the Emerging Economies—Sustainable Tourism Policy Implications

2020 ◽  
Vol 12 (6) ◽  
pp. 2533 ◽  
Author(s):  
Asif Khan ◽  
Sughra Bibi ◽  
Lorenzo Ardito ◽  
Jiaying Lyu ◽  
Hizar Hayat ◽  
...  
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Capital Investment ◽  
Developing Economies ◽  
Sustainable Tourism ◽  
Environmental Pollutants ◽  
Long Run ◽  
Unit Increase ◽  
Per Capita

Tourism contributions to economic growth and well-being have been widely acknowledged; however, its impacts on the environment demand an integrated approach to policy improvement across institutions in the emerging economies for the development of sustainable tourism practices. This study investigates the causal relationship between tourism, economic growth (GDP, capital investment), energy consumption, and environmental pollutants in developing economies, explicitly focusing on the case of Pakistan. Various econometric procedures and techniques were applied to test the proposed hypotheses. The findings suggest that economic growth support tourism development. Tourists’ arrivals have a significant positive impact on energy consumption, capital investment, and CO2 emissions; besides, environmental pollutant (CO2) causes negative effects on tourism. The results suggest that a 1 unit increase in tourism increases CO2 emissions metric tons per capita by 0.26 units in the long-run. A 1 unit increase in capital investment increases CO2 emissions metric tons per capita by 0.21 units, and a 1 unit increase in energy consumption increases CO2 emissions metric tons per capita by 0.51 units in the long-run. In the short-run, a 1 unit increase in tourism, capital investment, and energy consumption rises CO2 emissions metric tons per capita by 0.045, 0.04, and 0.08 units, respectively. Sustainable tourism remains a sole option in developing economies to enhance the competitiveness of tourism as a tool for friendly developments. Thus, tourism policies are needed to be integrated with overall economic, environmental, and energy policies to encourage the shift towards sustainable tourism development to minimize environmental pollution.

Long Run Money Neutrality: The Case of Guatemala

2005 ◽  
pp. 127-138 ◽  
Author(s):  
Frederick H. Wallace
Keyword(s):  
Neutrality Test ◽  
Per Capita Gdp ◽  
Real Gdp ◽  
Long Run ◽  
Per Capita

The Fisher and Seater (1993) methodology is used to test for the long run neutrality of money in Guatemala, 1950-2001. Real GDP, real per capita GDP, and the money measures, M1 and M2, are integrated of order one [1(1)]. Given these orders of integration, the Fisher-Seater neutrality test can be applied. The evidence suggests that M1 and M2 are neutral with respect to real GDP. Furthermore, the test indicates that M1, but not M2, is neutral with respect to real per capita GDP as well.

scholarly journals Do Military Expenditure and Conflict Affect Economic Growth in Sri Lanka? Evidence from the ARDL Bounds Test Approach

2016 ◽  
Vol 8 (3) ◽  
pp. 1
Author(s):  
Abdul Rasheed Sithy Jesmy ◽  
Mohd Zaini Abd Karim ◽  
Shri Dewi Applanaidu
Keyword(s):  
Growth Rate ◽  
Civil War ◽  
Sri Lanka ◽  
Military Expenditure ◽  
Gdp Growth ◽  
Per Capita Gdp ◽  
Long Run ◽  
Gdp Growth Rate ◽  
Per Capita ◽  
Bounds Test

Conflicts in the form of civil war, ethnic tensions and political discord are of enduring concern and a major bottleneck to economic development in Sri Lanka. Three decades of civil war and unethical political culture have caused severe economic problems for the country, including slower rate of growth and a huge defence expenditure. The aim of this study is to examine the effect of military expenditure and conflict on per capita GDP growth rate in Sri Lanka from 1973 to 2014 using the Solow growth model and ARDL bounds test approach. The results of the bounds test are highly significant and lead to cointegration. The negative and significant coefficients of the error correction term illustrate the expected convergence process in the long-run dynamic of per capita GDP. The estimated empirical results show that, the coefficients of military expenditure and conflict are negative and statistically significant in the short-run as well as in the long-run in determining per capita GDP growth rate in Sri Lanka. Hence, it is critically important to take necessary action to decrease military expenditure and provide an efficient political solution to the problem of minorities, specifically in the post-war period.

scholarly journals Economic Development, CO2 Emissions and Energy Use Nexus-Evidence from the Danube Region Countries

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3165
Author(s):  
Eva Litavcová ◽  
Jana Chovancová
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Carbon Emissions ◽  
Bounds Testing ◽  
Mutual Cooperation ◽  
Long Run ◽  
Short Run ◽  
Danube Region ◽  
The Impact

The aim of this study is to examine the empirical cointegration, long-run and short-run dynamics and causal relationships between carbon emissions, energy consumption and economic growth in 14 Danube region countries over the period of 1990–2019. The autoregressive distributed lag (ARDL) bounds testing methodology was applied for each of the examined variables as a dependent variable. Limited by the length of the time series, we excluded two countries from the analysis and obtained valid results for the others for 26 of 36 ARDL models. The ARDL bounds reliably confirmed long-run cointegration between carbon emissions, energy consumption and economic growth in Austria, Czechia, Slovakia, and Slovenia. Economic growth and energy consumption have a significant impact on carbon emissions in the long-run in all of these four countries; in the short-run, the impact of economic growth is significant in Austria. Likewise, when examining cointegration between energy consumption, carbon emissions, and economic growth in the short-run, a significant contribution of CO2 emissions on energy consumptions for seven countries was found as a result of nine valid models. The results contribute to the information base essential for making responsible and informed decisions by policymakers and other stakeholders in individual countries. Moreover, they can serve as a platform for mutual cooperation and cohesion among countries in this region.

scholarly journals Revisiting the Environmental Kuznets Curve Hypothesis: A Case of Central Europe

Energies ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3415
Author(s):  
Bartosz Jóźwik ◽  
Antonina-Victoria Gavryshkiv ◽  
Phouphet Kyophilavong ◽  
Lech Euzebiusz Gruszecki
Keyword(s):  
Economic Growth ◽  
Co2 Emissions ◽  
Central Europe ◽  
Environmental Kuznets Curve ◽  
European Countries ◽  
Kuznets Curve ◽  
The European Union ◽  
Ekc Hypothesis ◽  
Central European ◽  
Long Run

The rapid economic growth observed in Central European countries in the last thirty years has been the result of profound political changes and economic liberalization. This growth is partly connected with reducing carbon dioxide (CO2) emissions. However, the problem of CO2 emissions seems to remain unresolved. The aim of this paper is to test whether the Environmental Kuznets Curve (EKC) hypothesis holds true for Central European countries in an annual sample data that covers 1995–2016 in most countries. We examine cointegration by applying the Autoregressive Distributed Lag bound testing. This is the first study examining the relationship between CO2 emissions and economic growth in individual Central European countries from a long-run perspective, which allows the results to be compared. We confirmed the cointegration, but our estimates confirmed the EKC hypothesis only in Poland. It should also be noted that in all nine countries, energy consumption leads to increased CO2 emissions. The long-run elasticity ranges between 1.5 in Bulgaria and 2.0 in Croatia. We observed exceptionally low long-run elasticity in Estonia (0.49). Our findings suggest that to solve the environmental degradation problem in Central Europe, it is necessary to individualize the policies implemented in the European Union.

Convergence in per capita CO2 emissions: A robust distributional approach

2011 ◽  
Vol 33 (3) ◽  
pp. 637-665 ◽  
Author(s):  
C. Ordás Criado ◽  
J.-M. Grether
Keyword(s):  
Co2 Emissions ◽  
Per Capita

Does educational progress impact energy consumption? A causality test for India

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Soumen Rej ◽  
Barnali Nag
Keyword(s):  
Energy Consumption ◽  
Energy Supply ◽  
Causality Test ◽  
Content Type ◽  
Vector Error Correction ◽  
Educational Advancement ◽  
Long Run ◽  
Short Run ◽  
Development Goals ◽  
Per Capita

Purpose Both energy and education have been positioned as priority objectives under the itinerary of UN development goals. Hence, it is necessary to address the implicit inter relationship between these two development goals in the context of developing nations such as India who are trying to grow in both per capita income and socio economic factors whilst struggling with the challenges of a severe energy supply constrained economy. Design/methodology/approach In the present study, the causal relationship between energy consumption per capita and education index (EI) as a proxy of educational advancement is investigated for India for 1990–2016 using the Johansen-Juselius cointegration test and vector error correction model. Findings The empirical results infer although energy consumption per capita and EI lack short run causality in either direction, existence of unidirectional long run causality from EI to per capita energy consumption is found for India. Further, it is observed that energy consumption per capita takes around four years to respond to unit shock in EI. Research limitations/implications The findings from this study imply that with the advancement of education, a rise in per capita energy consumption requirement can be foreseen on the demand side, and hence, India’s energy policy needs to emphasize further its sustainable energy supply goals to meet this additional demand coming from a population with better education facilities. Originality/value The authors hereby confirm that this manuscript is entirely their own original study and not submitted elsewhere.

scholarly journals The Regional Inequity of CO2 Emissions per Capita in China

2017 ◽  
Vol 9 (7) ◽  
pp. 228 ◽  
Author(s):  
Ting Liu ◽  
Wenqing Pan
Keyword(s):  
Co2 Emissions ◽  
Emission Reduction ◽  
Co2 Emission ◽  
Energy Intensity ◽  
Industrial Structure ◽  
Theil Index ◽  
Energy Structure ◽  
Co2 Emission Reduction ◽  
Index Method ◽  
Per Capita

This paper combines Theil index method with factor decomposition technique to analyze China eight regions’ inequality of CO2 emissions per capita, and discuss energy structure, energy intensity, industrial structure, and per capita output’s impacts on inequality. This research shows that: (1) The trend of China regional carbon inequality is in the opposite direction to the per capita CO2 emission level. Namely, as the per capita CO2 emission levels rise, regional carbon inequality decreases, and vice versa. (2) Per capita output factor reduces regional carbon inequality, whereas energy structure factor and energy intensity factor increase the inequality. (3) More developed areas can reduce the carbon inequality by improving the energy structure, whereas the divergence of energy intensity in less developed areas has increased to expand the carbon inequity. Thus, when designing CO2 emission reduction targets, policy makers should consider regional differences in economic development level and energy efficiency, and refer to the main influencing factors. At the same time, upgrading industrial structure and upgrading energy technologies should be combined to meet the targets of economic growth and CO2 emission reduction.

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