scholarly journals The Nexus of CO2 Emissions, Energy Consumption, Economic Growth, and Trade-Openness in WTO Countries

2017 ◽  
Author(s):  
Lars Sorge ◽  
Anne Neumann
Author(s):  
Ritu Rana ◽  
Manoj Sharma

This study examines the causality relationships between FDI, economic growth (in terms of GDP) and the natural environment, in terms of CO2 emissions and energy consumption, along with two more variables of interest i.e., trade openness and technology gap in the context of India. The data used in the study is obtained from World Development Indicators (WDI) of the World Bank Group for the period 1980 to 2014. The study employed the dynamic multivariate Toda-Yamamoto (TY) approach that uses the modified Wald (MWALD) test. The results show that FDI is neither causing economic growth nor is it bridging the technology gap directly in India. The results also indicate the existence of a Pollution Haven Hypothesis in India as the FDI is causing environmental degradation, i.e. CO2 emissions and energy consumption. Also, FDI is, though not causing GDP directly, but is doing so indirectly through CO2 emissions validating the existence of Pollution Haven Hypothesis. FDI is causing trade openness in India, but that openness is again causing more FDI which is doing no good for India.


2021 ◽  
Vol 13 (8) ◽  
pp. 4371 ◽  
Author(s):  
Tomiwa Sunday Adebayo ◽  
Abraham Ayobamiji Awosusi ◽  
Jamiu Adetola Odugbesan ◽  
Gbenga Daniel Akinsola ◽  
Wing-Keung Wong ◽  
...  

This study assesses the relationship between economic performance and environmental sustainability by taking into account the role of energy consumption, urbanization, and trade openness in Brazil by using data spanning from 1965 to 2019. The study is distinct from previously documented studies in literature in terms of scope for Brazil, where few entries have been recorded. The major objectives are to address the questions: (a) Is there a long-run connection between the variables under consideration? (b) Can CO2 emissions, trade openness, and energy consumption predict economic performance of Brazil? (c) What is the connection between economic growth and the independent variables at different frequencies and time-period? Furthermore, the study utilized dynamic ordinary least square (DOLS), fully modified ordinary least square (FMOLS), Maki Cointegration, and autoregressive distributed lag (ARDL) to capture the long-run association between the variables of interest. Also, we used the Wavelet coherence and Gradual-shift causality tests to capture the causal linkage between economic growth and the regressors. The advantage of the wavelet coherence test is that it can capture causal linkage between series at different frequencies and periods. The outcome of both Maki cointegration and ARDL bounds testing to cointegration affirms the presence of long-run interaction among the parameters of interest. Furthermore, the outcomes of the DOLS and FMOLS revealed that energy consumption, CO2 emissions, and urbanization exert positive impacts on economic growth in Brazil while there is no significant connection between trade openness and economic growth. Moreover, Gradual shift causality test outcomes disclosed that urbanization, trade openness, CO2 emissions and energy usage can predict the economic performance of Brazil. The outcomes of the wavelet coherence test give credence to the FMOLS, DOLS, and Gradual shift causality tests.


Author(s):  
Shemelis Kebede Hundie

Policy makers need to know the relationship among energy use, economic growth and environmental quality in order to formulate rigorous policy for economic growth and environmental sustainability. This study analyzes the nexus among energy consumption, affluence, financial development, trade openness, urbanization, population and CO2 emissions in Ethiopia using data from 1970–2014. The ARDL cointegration results show that cointegration exists among the variables. Energy consumption, population, trade openness and economic growth have positive impact on CO2 in the long-run while economic growth squared reduces CO2 emissions which confirms that the EKC hypothesis holds in Ethiopia. In the short-run urbanization and energy consumption intensify environmental degradation. Toda-Yamamoto granger causality results indicate the bi-directional causality between energy consumption and CO2 emissions, CO2 emissions and urbanization. Financial development, population and urbanization cause economic growth while economic growth causes CO2 emissions. Causality runs from energy consumption to financial development, urbanization and population which in turn cause economic growth. From the result, CO2 emissions extenuation policy in Ethiopia should focus on environmentally friendly growth, enhancing consumption of cleaner energy, incorporating the impact of population, urbanization, trade and financial development.


2013 ◽  
Vol 9 (2) ◽  
Author(s):  
OLUWOLE OWOYE ◽  
OLUGBENGA A. ONAFOWORA

This paper examines the long-run and dynamic temporal relationships between economic growth, energy consumption, population density, trade openness, and carbon dioxide    (CO2) emissions in Brazil, China, Egypt, Japan, Mexico, Nigeria, South Korea, and South Africa based on the environment Kuznets curve (EKC) hypothesis. We employ the ARDL Bounds test to cointegration and CUSUM and CUSUMSQ tests to ensure long-run cointegration and parameter stability.  The estimated results show that the inverted U-shaped EKC hypothesis holds in Japan and South Korea.  In the other six countries, the long-run relationship between economic growth and CO2 emissions follows an N-shaped trajectory and the estimated turning points are much higher than the sample mean. In addition, the results indicate that energy consumption Granger-causes both CO2 emissions and economic growth in all the countries.  An important implication of our findings is that it would be ill-advised for the policy decision makers to adopt the EKC postulate as the conceptual basis for policies favoring economic growth unconditionally. A wide range of policy initiatives that would induce increased demand for better environment quality and its sustainability should be explored in tandem with measures to spur economic growth.


2021 ◽  
Vol 2021 (68) ◽  
pp. 42-58
Author(s):  
Essa Alhannom ◽  
Ghaleb Mushabab

Abstract This study investigates the validity of the Environmental Kuznets Curve hypothesis in Yemen and the causal relationships between Carbon dioxide emissions, per capita income, energy consumption, trade openness, and industrial share to GDP. ARDL bounds testing approach to cointegration, Error Correction Model, and Toda-Yamamoto procedure to Granger causality techniques were employed on annual data covering the period from 1990 to 2010. long run relationship between CO2 emissions and its determinants with significant effects for per capita GDP and trade openness, whereas, energy consumption and trade openness appear to be important determinants of CO2 emissions in the short run. Besides, based on Narayan and Narayan (2010) approach, it is found that the EKC hypothesis does not hold in Yemen and therefore the effect of per capita income on CO2 emissions is monotonically increasing. Toda-Yamamoto causality test proved the existence of bidirectional causal relationships between economic growth and CO2 emissions, between energy consumption and economic growth, and between trade openness and energy consumption


2018 ◽  
Vol 10 (8) ◽  
pp. 2743 ◽  
Author(s):  
Abdul Rauf ◽  
Xiaoxing Liu ◽  
Waqas Amin ◽  
Ilhan Ozturk ◽  
Obaid Rehman ◽  
...  

Innovation and globalization fosters a tendency towards multiparty collaboration and strategic contacts among nations. A similar path was followed by the Chinese administration in 2013, with its “Belt and Road Initiative” (BRI). The most important objective of the present fact-finding study was to demonstrate the links between economic growth, energy consumption, urbanization, gross fixed capital formation, trade openness, financial development and carbon emissions (ecological degradation) from a panel of 47 BRI economies, over a time span of 1980 to 2016. Dynamic panel estimations (dynamic ordinary least square (DOLS) and fully modified ordinary least square (FMOLS)) were engaged to examine the long-run links between the subjected variables. Synchronized outcomes for the full panel show that energy consumption, gross fixed capital formation, economic growth, financial development, and urbanization unfavorably led to environmental degradation (CO2 emissions). However, trade openness is negatively correlated with emissions. Furthermore, pairwise panel Granger causative estimations justified bi-directional links from all regressors towards CO2 emissions, except for trade openness, which had unidirectional ties with environmental quality. In cross-country, long-run assessments, different results were found, with CO2 emissions being greatly increased by economic growth in all countries and energy consumption in 30 countries; other predictors testified to some mixed interactions with CO2 emissions in the country-level examination. The reported investigation provides some noteworthy guiding principles and policy inferences aimed at governments and ecological supervisory administrations, suggesting assertive moves towards truncated used of carbon fossil fuels and dependency on renewable energy, establishing waste and water treatment plants, familiarizing themselves with the concept of a green economy, and making the general public aware of eco-friendly investments in BRI economies.


2021 ◽  
Vol 13 (9) ◽  
pp. 4753
Author(s):  
Ayhan Orhan ◽  
Tomiwa Sunday Adebayo ◽  
Sema Yılmaz Genç ◽  
Dervis Kirikkaleli

This paper assesses the linkage between CO2 emissions and economic growth while taking into account the role of energy consumption, agriculture, and trade openness in India. Using data covering the period between 1965 and 2019, the Bayer and Hanck cointegration and Gradual shift causality tests are applied to assess these economic indicators relationships’. Furthermore, we employed the wavelet coherence test. The advantage of the wavelet coherence test is that it differentiates between short-, medium-, and long-run dynamics over the entire sampling period. To the best of the authors’ understanding, the present paper is the first to apply wavelet analysis to investigate this relationship by incorporating agriculture as a determinant of environmental degradation. The empirical outcomes show that all variables appear to be highly correlated with CO2 emissions with the exemption of trade openness. This is further affirmed by the Gradual shift causality test, which shows that agriculture and energy consumption are crucial determinants of CO2 emissions in India. Accordingly, adequate policy measures are proposed based on these findings.


Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4671
Author(s):  
Katarzyna Szymczyk ◽  
Dilek Şahin ◽  
Haşim Bağcı ◽  
Ceyda Yerdelen Kaygın

The environmental performance index was developed to protect public health, and to sustain and manage the ecological vitality that is a crucial factor in countries’ social and economic development. The increase in CO2 emissions has been threatening environmental and human health. The main objective of this study is to evaluate the impact of economic growth, energy consumption, energy management, the urban population, trade openness, and financial development on CO2 emissions in the OECD countries that have a high ranking in the environmental performance index by utilizing the panel data analysis method for the years spanning 1990–2014. This assessment finds positive relationships between economic growth, energy consumption, and the urban population, and CO2 emissions. Moreover, it is put forward that a negative and significant relationship between financial development and CO2 emissions exists. Despite displaying a similar negative correlation, the relationship between trade openness and CO2 emissions is insignificant. In the Dumitrescu-Hurlin panel causality test conducted, it was seen that a two-way causality is prevalent between energy consumption and CO2 emissions. In addition, interrelations where CO2 emissions cause trade openness, and the urban population is an explanatory variable of the former relationship, were discovered.


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