Testing the Dynamic Relationship Among CO2 Emissions, Economic Growth, Energy Consumption and Tourism Development. Evidence for Uruguay

2020 ◽  
pp. 125-140
Author(s):  
Juan Gabriel Brida ◽  
Bibiana Lanzilotta ◽  
Fiorella Pizzolon
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Tourism Development ◽  
Dynamic Relationship ◽  
Growth Energy

scholarly journals CO2 Emissions, Energy Consumption, and Economic Growth Nexus: Evidence from 30 Provinces in China

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Shaohui Zou ◽  
Tian Zhang
Keyword(s):  
Economic Growth ◽  
Carbon Dioxide ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Carbon Dioxide Emissions ◽  
Spillover Effect ◽  
Low Carbon ◽  
Spatial Spillover ◽  
Dynamic Relationship ◽  
Growth Energy

Under the situation of global low-carbon development, the contradiction among energy consumption, economic growth, and CO2 emissions is increasingly prominent. Considering the possible two-way feedback among the three, based on the panel data of 30 regions in China from 2000 to 2017, this paper establishes a spatial Durbin model including economic growth, energy consumption equation, and CO2 emissions and studies the dynamic relationship and spatial spillover among economic growth, energy consumption, and CO2 emissions effects. The results show that the economic growth can significantly improve carbon dioxide emissions, and China’s economic growth level has become a positive driving force for carbon dioxide emissions. However, economic growth will not be significantly affected by the reduction of carbon dioxide emissions. There is a two-way relationship between energy consumption (ENC) and carbon dioxide emissions (CO2). Energy consumption and carbon emissions are interrelated, which has a negative spatial spillover effect on the carbon dioxide emissions of the surrounding provinces and cities.

The dynamic relationship between CO2 emission, international tourism and energy consumption in Pakistan: a cointegration approach

2019 ◽  
Vol 74 (4) ◽  
pp. 761-779 ◽  
Author(s):  
Yaping Liu ◽  
Tafazal Kumail ◽  
Wajahat Ali ◽  
Farah Sadiq
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Granger Causality ◽  
Environmental Quality ◽  
Energy Use ◽  
Ardl Model ◽  
Content Type ◽  
Dynamic Relationship ◽  
Long Run ◽  
Growth Energy

Purpose The present study aims to investigate the dynamic relationship between international tourist receipts, economic growth, energy use and carbon dioxide (CO2) emissions in Pakistan over the period 1980-2016. Many researchers have investigated the link between tourism and CO2 emissions, but there is no clear picture as the results are contradictory. This study is an attempt to compliment the literature related to tourism and environmental quality. Design/methodology/approach The study adopted the autoregressive distributed lagged (ARDL) model to investigate the short- and long-run estimates simultaneously. The study further applied Granger causality to find out the direction of causalities. To arrive at long-run robust estimates, the study used dynamic ordinary least squares (DOLS) model. Findings The results found that tourist receipts have no significant impact on environmental quality, while growth and energy consumption are the main determinants of CO2 emissions in Pakistan. The Granger causality test confirmed unidirectional causalities from GDP and energy consumption toward CO2 emissions, while tourist receipts do not affect environmental quality. DOLS technique confirmed the long-run estimates of ARDL model. Research limitations/implications The result of the study complements the literature by adding new evidence regarding the nexus of tourism and environment. Findings of the study are important for policymakers and regulatory bodies to place their focus on the development of tourism sector (services sector) rather than energy-intensive manufacturing activities to sustain the growth of the country in higher quartiles, as tourism receipts have no significant negative externalities toward environment, while energy use is one of the key determinants of environmental degradation. Originality/value This study used time series data over the period 1980-2016 for Pakistan to inspect the dynamic relationship between tourist receipts, economic growth, energy consumption and CO2 emissions.

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.

Economic Growth, Energy Consumption and Tourism Development in Taiwan: A Granger Causality Approach

2012 ◽  
Vol 524-527 ◽  
pp. 3376-3379 ◽  
Author(s):  
Ming Liu ◽  
Sue Ling Lai ◽  
Kuo Cheng Kuo
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Causal Relationship ◽  
Tourism Development ◽  
Point Of View ◽  
Test Results ◽  
Policy Makers ◽  
Long Run ◽  
Equilibrium Relationship ◽  
Growth Energy

This study examines the causal relationship among economic growth, energy consumption and tourism development in Taiwan over the period from 1965 to 2010. Three Principle test results emerge from this study. First, test results indicate a long-run equilibrium relationship and a bi-direction of causality between energy consumption and tourism development with one proxy, number of visitors, being more significant than the other, visitor expenditures. Second, a bi-directional causality between energy consumption and economic growth is observed. Third, test results indicate no reciprocal causal relationship between tourism development and economic growth. From an energy conservation and sustainable tourism point of view, it is suggested policy makers and industry leaders develop high value, high profit tourism products that aim on attracting more visitor expenditures rather than numbers of visitor.

scholarly journals Assessing the Impact of Factors Driving Global Carbon Dioxide Emissions

2019 ◽  
pp. 1-15
Author(s):  
Redwan Ahmed ◽  
Gabriela Sabau ◽  
Morteza Haghiri
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Co2 Emissions ◽  
Financial Development ◽  
Carbon Dioxide Emissions ◽  
Well Being ◽  
Testing Procedures ◽  
Cointegration Tests ◽  
Growth Energy ◽  
The Impact

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.

Sign in / Sign up

Export Citation Format

Share Document