The Relationship between CO2 Emission, Energy Consumption, Urbanization and Trade Openness for Selected CEECs

Destek, Mehmet Akif; Ballı, Esra; Manga, Müge

doi:10.5430/rwe.v7n1p52

Cited by 65 publications

(34 citation statements)

References 21 publications

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“…The estimated coefficient of foreign trade is -0.1042 and is significant at 1% level, showing that an increase of 1% in foreign trade will result in a reduction of about 0.10% in CO 2 emissions. The finding is consistent with Destek et al [57], who concluded that a 1% increase in trade will reduce CO 2 emissions by 0.069%-0.097% in a panel of ten selected Central and Eastern European Countries (CEECs). However, OLS estimation results only reveal the influences of FDI and foreign trade in the center of the distribution of CO 2 emissions, which may cause a loss of important information in the tail distribution.…”

Section: Direct Effect Estimations Based On Panel Quantile Regressionsupporting

confidence: 90%

The Heterogeneous Effects of FDI and Foreign Trade on CO₂ Emissions: Evidence from China

Huang

Chen

Zhu

et al. 2019

Mathematical Problems in Engineering

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The environmental impacts of foreign direct investment (FDI) and foreign trade have attracted much attention recently. This paper employs panel quantile regression to explore the effects of FDI and foreign trade on Chinese provincial CO2 emissions for the period of 1997-2014. The results indicate that the effect of FDI on CO2 emissions is negative and significant except at the 5th and 10th quantiles. Foreign trade has a significant negative effect on CO2 emissions at upper quantiles, and the degree of the effect increases gradually with the increase of CO2 emissions. The results also suggest that the inverted U-shaped environmental Kuznets curve (EKC) is valid only in the least and most polluted provinces. Nevertheless, the positive indirect effects of FDI and foreign trade on CO2 emissions are greater than the negative direct effects; thus the total effects are positive. Finally, several policy implications are proposed for China based on the empirical results obtained.

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Section: Direct Effect Estimations Based On Panel Quantile Regressionsupporting

confidence: 90%

The Heterogeneous Effects of FDI and Foreign Trade on CO₂ Emissions: Evidence from China

Huang

Chen

Zhu

et al. 2019

Mathematical Problems in Engineering

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“…According to this approach, a change independent variable is regressed on the independent variables using different form and optimal lag lengths. Following Siddique and Majeed (2015); Destek et al (2016) the VECM is expressed in the equations below:…”

Section: Granger Causality Testmentioning

confidence: 99%

Technological Innovation, Infrastructure and Industrial Growth in Bangladesh: Empirical Evidence from ARDL and Granger Causality Approach

Fan

Hossain

Sultanuzzaman

2018

Asian Economic and Financial Review

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In this study, we examined the empirical cointegration, long and short-run dynamics and relationships between technological innovation, infrastructure and industrial growth in Bangladesh over the period of 1974-2016. The ARDL Bounds Test methodology and Granger Causality test in an augmented VECM framework were applied. The ARDL bounds tests and additional cross-checking tests, undoubtedly confirmed long run as well as short-run cointegration between the three variables in Bangladesh. The obtained results expressed that infrastructure has a positive impact on the industrial growth but technological innovation has a negative impact on it in the long run. In the short run, infrastructure and technological innovation both have a positive and significant impact on industrial growth. The VECM Granger causality test reveals the existence of a bi-directional causality running between Industrial growth and infrastructure; and infrastructure and technological innovation. On the other hand, unidirectional causality is running from industrial growth to technological innovation. The findings of the Granger causality test supports the results obtained in the ARDL approach in our study. The results obtained from this empirical analysis have an important policy implication for a developing country like Bangladesh as well as other developing countries. 1. INTRODUCTION The founding partner, Roger McNamee, of the Venture Capital Firm Elevation Partners of US, commented that "We need to stop thinking about infrastructure as an economic stimulant and start thinking about it as a strategy. Economic stimulants produce Bridges to Nowhere. Strategic investment in infrastructure produces a foundation for long-term growth". In the same paper, investigation conducted on "Industry and Infrastructure" of India, it was revealed that vital factors for economic growth and development are to promote inclusive employment-intensive industry and to build resilient infrastructure (Hogan and McNamee, n.d). So there is a close relationship between infrastructure and industrial development or Economic development. All the activities of human being are somehow related to economic development and industrial development is one of the major components of it Rahman and Kashem (2017). From the economic growth point of view, the world has achieved a significant development in different kinds of infrastructure as the roads, railroads, airlines, giant bridges, high rise skyscrapers, tunnels, and industries etc. According to Ayeche et al. (2016) the global economic system has Asian Economic and Financial Review

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“…They find that urbanization increases electric power consumption and carbon emission. Hassan and Salim (2015), Shahbaz et al (2015), Al-Mulali et al (2016), Ali et al (2016), Destek et al (2016), Kang et al (2016), Wang et al (2016a, b), He et al (2017) and several other studies extend the urbanization-emissions nexus to include diverse aspects. They have used multivariate frameworks to consider dimensions such as spatial dispersion, dynamics of nations, income inequality, and land use patterns, but the results were inconclusive.…”

Section: Urbanization and Co 2 Emissionsmentioning

confidence: 99%

Exploring the relationship between energy usage segregation and environmental degradation in N-11 countries

Sinha

Shahbaz

Balsalobre

2017

Journal of Cleaner Production

276

109

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Numerous studies regarding the economic growth-environmental pollution link have struggled to determine the effects of various forms of energy consumption on environmental degradation, particularly in the context of emerging economies. This study examines the environmental Kuznets curve (EKC) for CO 2 emissions in N-11 countries during 1990-2014 by segregating three forms of energy consumption (renewable, biomass and non-renewable). Urbanization and trade openness are additional explanatory variables that are used in the empirical framework. Using the Generalized Moments Method (GMM), the empirical evidence confirms the presence of an N-shaped relationship between economic growth and environmental degradation for N-11 countries. This study analyzed the interaction effects among trade openness, biomass consumption and economic growth; these interactions had a negative impact on CO 2 emissions levels of N-11 countries. Suitable policy recommendations have been provided based on the detailed results.

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The Relationship between CO2 Emission, Energy Consumption, Urbanization and Trade Openness for Selected CEECs

Cited by 65 publications

References 21 publications

The Heterogeneous Effects of FDI and Foreign Trade on CO₂ Emissions: Evidence from China

The Heterogeneous Effects of FDI and Foreign Trade on CO₂ Emissions: Evidence from China

Technological Innovation, Infrastructure and Industrial Growth in Bangladesh: Empirical Evidence from ARDL and Granger Causality Approach

Exploring the relationship between energy usage segregation and environmental degradation in N-11 countries

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The Relationship between CO2 Emission, Energy Consumption, Urbanization and Trade Openness for Selected CEECs

Cited by 65 publications

References 21 publications

The Heterogeneous Effects of FDI and Foreign Trade on CO2 Emissions: Evidence from China

The Heterogeneous Effects of FDI and Foreign Trade on CO2 Emissions: Evidence from China

Technological Innovation, Infrastructure and Industrial Growth in Bangladesh: Empirical Evidence from ARDL and Granger Causality Approach

Exploring the relationship between energy usage segregation and environmental degradation in N-11 countries

Contact Info

Product

Resources

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The Heterogeneous Effects of FDI and Foreign Trade on CO₂ Emissions: Evidence from China

The Heterogeneous Effects of FDI and Foreign Trade on CO₂ Emissions: Evidence from China