Analysing Transportation-Induced Economic Growth, Energy Use, and CO2 Emissions

2021 ◽  
pp. 1277-1293
Author(s):  
Salih Kalayci
Keyword(s):  
Economic Growth ◽  
Co2 Emissions ◽  
Energy Use ◽  
Panel Data Analysis ◽  
Ekc Hypothesis ◽  
Energy Usage ◽  
Environmental Consciousness ◽  
Transportation Energy ◽  
Eu Countries ◽  
Growth Energy

This chapter concentrates on the linkage among transportation, energy usage, GDP, and Co2 emissions in EU countries during the period 1970-2014 by analysing the EKC hypothesis. The data is derived from the World Bank's official website to point out environmental consciousness of EU countries by implementing panel data analysis. In this sense, the findings indicate that environmental consciousness is quite low for EU countries from 1970 to 1997. Besides, the environmental issues of EU countries are taken into account from 1997 to 2014. The findings of research demonstrate that their sensitiveness has risen significantly, which is consistent with the inverse-U shape of the EKC hypothesis from 1997 to 2014. Thus, these empirical results support the Kyoto protocol's political aims and goals. Furthermore, Johansen co-integration test is implemented to reveal the long-term linkage among economic growth, air transportation, carbon emissions, and energy usage.

Analysing Transportation-Induced Economic Growth, Energy Use, and CO2 Emissions

2020 ◽  
pp. 122-138
Author(s):  
Salih Kalayci
Keyword(s):  
Economic Growth ◽  
Co2 Emissions ◽  
Energy Use ◽  
Panel Data Analysis ◽  
Ekc Hypothesis ◽  
Energy Usage ◽  
Environmental Consciousness ◽  
Transportation Energy ◽  
Eu Countries ◽  
Growth Energy

This chapter concentrates on the linkage among transportation, energy usage, GDP, and Co2 emissions in EU countries during the period 1970-2014 by analysing the EKC hypothesis. The data is derived from the World Bank's official website to point out environmental consciousness of EU countries by implementing panel data analysis. In this sense, the findings indicate that environmental consciousness is quite low for EU countries from 1970 to 1997. Besides, the environmental issues of EU countries are taken into account from 1997 to 2014. The findings of research demonstrate that their sensitiveness has risen significantly, which is consistent with the inverse-U shape of the EKC hypothesis from 1997 to 2014. Thus, these empirical results support the Kyoto protocol's political aims and goals. Furthermore, Johansen co-integration test is implemented to reveal the long-term linkage among economic growth, air transportation, carbon emissions, and energy usage.

scholarly journals Determinants of CO2 Emissions in Emerging Markets: An Empirical Evidence from MINT Economies

2020 ◽  
Vol 9 (3) ◽  
pp. 411-422 ◽  
Author(s):  
Tomiwa Sunday Adebayo ◽  
Ayobamiji Abraham Awosusi ◽  
Ibrahim Adeshola
Keyword(s):  
Economic Growth ◽  
Co2 Emissions ◽  
Co2 Emission ◽  
Panel Data Analysis ◽  
Environmental Literature ◽  
Energy Usage ◽  
Causality Test ◽  
Integration Test ◽  
Growth Energy ◽  
Negative Link

CO2 emission is one the major contributor to climate change that the top CO2 emitting countries are always trying to mitigate.  In an attempt to fill the gap in energy and environmental literature, this study explores the interaction between economic growth, energy usage, trade and urbanization on CO2 emission for MINT economies using the time coverage from 1980 to 2018, providing new perspectives into the literature by employing panel data analysis. Aiming to create robust outcomes, this paper deployed both conventional and modern econometric techniques. The panel co-integration test revealed evidence of the co-integration between CO2 and its determinants in the MINT economies. In order to explore the linkages between CO2 and its determinants, the ARDL PMG model was utilized in MINT economies. Findings based on the ARDL PMG reveals; (i) positive interconnection between CO2 emissions and energy usage; (ii) no significant link was found between CO2 and economic growth; (iii) urbanization influence CO2 positively while a negative link was found between CO2 and trade. Furthermore, the Dumitrescu-Hurlin Causality test revealed; (i) uni-directional causality from CO2 to urbanization; (ii) GDP growth cause CO2 while CO2 causes energy usage. Based on these findings, recommendations were put forward. ©2020. CBIORE-IJRED. All rights reserved

scholarly journals APLIKASI ERROR CORRECTION MECHANISM DALAM ANALISIS DAMPAK PERTUMBUHAN EKONOMI, KONSUMSI ENERGI DAN PERDAGANGAN INTERNASIONAL TERHADAP EMISI CO2 DI INDONESIA

2020 ◽  
Vol 13 (1) ◽  
pp. 104-115
Author(s):  
Fitri Kartiasih ◽  
Adi Setiawan
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
International Trade ◽  
Error Correction ◽  
Co2 Emissions ◽  
Energy Use ◽  
Kuznets Curve ◽  
Ekc Hypothesis ◽  
Economic Activities ◽  
Error Correction Mechanism

Economic development is an effort to improve people's lives. However, economic development has negative externalities. Emissions generated from economic activities can pollute the environment. This study purpose to determine the relationship between economic growth and CO2 emissions based on the Environment Kuznets Curve (EKC) hypothesis and analyze the influence of energy use, economic growth and international trade on CO2 emissions in Indonesia in the period 1977-2014 using Error Correction Mechanism (ECM) analysis. The results showed that the EKC hypothesis does not apply in Indonesia, meaning that economic development carried out during the research period still pursues increased income without regard to environmental quality so that increased per capita income is accompanied by increase in CO2 emissions. Based on econometric analysis of ECM, it shows that the variables of energy use, economic growth and international trade have a statistically significant effect on CO2 emissions in Indonesia in the long run. In the short term, economic growth, and error correction terms have a statistically significant effect while the variables of energy consumption and international trade do not have a statistical effect on CO2 emissions in Indonesia.

Investigating the Causal Linkage Among Economic Growth, Energy Consumption and CO2 Emissions in Thailand: An Application of the Wavelet Coherence Approach

2020 ◽  
Vol 10 (1) ◽  
pp. 17-26 ◽  
Author(s):  
Tomiwa Sunday Adebayo ◽  
Gbenga Daniel Akinsola
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Time Series Data ◽  
Wavelet Coherence ◽  
Series Data ◽  
Energy Usage ◽  
Positive Correlation ◽  
Long Run ◽  
Growth Energy

The study aims to explore the causal linkage between CO2 emissions, economic growth and energy consumption in Thailand utilizing the wavelet coherence approach, conventional Granger and the Toda-Yamamoto causality techniques. In this study, In this study, time-series data spanning the period between 1971 and 2018 were used. No prior study has used the wavelet coherence approach to collect information on the association and causal interrelationship among these economic variables at different frequencies and timeframes in Thailand. The study objectives are structured to answer the following question: Does economic growth and energy consumption lead to CO2 emissions in Thailand?. The findings revealed that: (a) Changes in economic growth led to changes in CO2 emissions in Thailand at different frequencies (different scales) between 1971 and 2018. (b) A bidirectional causal relationship between CO2 emissions and energy consumption. (c) A positive correlation between CO2 emissions and energy usage in the short and long-run between 1971 and 2018. (d) A positive correlation between GDP growth and CO2 emissions in the short and long-run between 1971 and 2018. The study suggested that Thailand should initiate stronger policies towards enhancing the efficiency of energy and energy-usage programs to minimize unnecessary energy waste.

scholarly journals THE IMPACTS OF RURAL POPULATION GROWTH, ENERGY USE AND ECONOMIC GROWTH ON CO2 EMISSIONS

2021 ◽  
Vol 11 (5) ◽  
pp. 553-561
Author(s):  
Mohd Shahidan Shaari ◽  
Noorazeela Zainol Abidin ◽  
Abdul Rahim Ridzuan ◽  
Muhammad Saeed Meo
Keyword(s):  
Economic Growth ◽  
Population Growth ◽  
Co2 Emissions ◽  
Rural Population ◽  
Energy Use ◽  
Growth Energy

scholarly journals Chinaʼs Economic Growth, Energy Efficiency, and Industrial Development: Nonlinear Effects on Carbon Dioxide Emissions

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Donghai Zhou ◽  
Binxia Chen ◽  
Jiahui Li ◽  
Yuanying Jiang
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Energy Efficiency ◽  
Co2 Emissions ◽  
Industrial Development ◽  
Energy Use ◽  
Energy Use Efficiency ◽  
Use Efficiency ◽  
Growth Energy ◽  
The Impact

This paper analyzes the time-varying impacts of Chinaʼs economic growth, energy efficiency, and industrial development on carbon dioxide (CO2) emissions from 1970 to 2019. First, we examined and found that there are two significant structural changes in the CO2 sequence over the years, and there was a significant nonlinear relationship among the four. The first nonlinear structural model constructed is the TVP regression model. According to the Bayesian model comparison criterion, TVP-SV-VAR was selected as the second constructed model from four types of VAR models containing nonlinear structures. The results show that the conduction intensity value of energy use efficiency to CO2 emissions has increased year by year, from 0.45 in 1971 to 0.97 in 2019. The short-term transmission mechanism of energy use efficiency to carbon emissions is the most significant. The conduction intensity of Chinaʼs economic growth on CO2 emissions increases year by year. Chinaʼs economic growth plays a major role in long-term CO2 emission reduction. The impact of industrial development on CO2 emissions reached a peak of 0.34 in 1977, and the intensity of the impact has basically stabilized at 0.26.

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