The impact of trade openness on global carbon dioxide emissions: Evidence from the top ten emitters among developing countries

Ertuğrul, Hasan Murat; Çetin, Murat; Şeker, Fahri; Doğan, Eyüp

doi:10.1016/j.ecolind.2016.03.027

Cited by 382 publications

(170 citation statements)

References 111 publications

(141 reference statements)

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“…Secondly, international trade can accelerate or hamper the pace of carbon emission as it influences both domestic production and foreign consumption (Al-Mulali, Ozturk, & Lean, 2015;Bento & Moutinho, 2016;Ertugrul, Cetin, Seker, & Dogan, 2016;Kanemoto, Moran, Lenzen, & Geschke, 2014;Lau et al, 2014;Ren, Yuan, Ma, & Chen, 2014). Also, the concept of carbon emission embodied in trade has also been an increasingly observed phenomenon (Böhringer, Carbone, & Rutherford, 2018;Sakai & Barrett, 2016;Su & Ang, 2014;Wu, R., Geng, Dong, Fujita, & Tian, 2016;Yunfeng & Laike, 2010).…”

Section: Literature Reviewmentioning

confidence: 99%

Environmental Degradation and Economic Growth in ASEAN-10: The Perspective of EKC Hypothesis

2019

MJES

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Environmental issues have been ranked among the most intense debates over the past decades by governments around the world. Sustainable development goals have been top priorities in the working agenda of national cabinets and administrations which questions the chronic trade-off between environment and economic performance. This paper aims at contributing further insights into the above-mentioned linkage to the contemporary literature by testing the validity of the environmental Kuznets curve (EKC) hypothesis. By conducting a panel data analysis on ASEAN-10 countries' statistics of carbon dioxide emissions per capita (COEpc), real gross domestic product per capita (rGDPpc), foreign direct investment inflow (FDIif), trade openness index (TOI), and urbanisation (URB), the findings have empirically confirmed the valid causality running from economic growth, international trade and demographic changes to environmental degradation. Additionally, the existence of an earlier inverted U-shaped and a later N-shaped EKC has been investigated and significantly confirmed the cyclical changes of the eco-enviro trade-off. Also, this paper provides implications for policymakers to consider the cost-benefit issue in the establishment and implementation of economic and environmental protection policies.

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Section: Literature Reviewmentioning

confidence: 99%

Environmental Degradation and Economic Growth in ASEAN-10: The Perspective of EKC Hypothesis

2019

MJES

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“…In fact, the energy consumption in the CPUA region is mainly caused by coal burning, which generates high levels of industrial SO 2 and dust. Technological investment represents the level of regional science and technology [15,18]. The higher the technological investment, the more effective the production mode.…”

Section: Data Collection and Variable Descriptionmentioning

confidence: 99%

“…They found that China's energy and electricity consumption and per capita gross domestic product (GDP) presented an inverted N-type EKC. Ertugrul et al [18] studied the relationship between per capita income and energy consumption in the major developing countries. The results showed that the EKC hypothesis applied best to the countries with fast economic growth, such as China.…”

Section: Environmental Kuznets Curve With Spatial Econometricsmentioning

confidence: 99%

Spatial Spillover Effects of Environmental Pollution in China’s Central Plains Urban Agglomeration

et al. 2018

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Promoting the rise of Central China is one of the most important national strategies regarding the promotion of China's economic development. However, the environmental issues in the central regions have become remarkably severe. It is therefore worthwhile exploring how economic development and environmental protection can be coordinated. Focusing on the 29 prefecture-level cities in the Central Plains Urban Agglomeration, the authors empirically analyze the relationship between the economy and the environment from 2004 to 2014. The combined methods of the spatial autocorrelation model, the environmental Kuznets curve, and the global spatial correlation test are systematically employed. The results show that: (1) a strong spatial correlation exists between industrial wastewater discharge, industrial sulfur dioxide, and dust emissions in the Central Plains Urban Agglomeration; (2) the relationship between the economy and the environment of this urban agglomeration reveals an inverted "U" curve, which confirms the classical environmental Kuznets curve hypothesis. Industrial dust emissions have surpassed the inflection point of the Kuznets curve, but its spatial spillover effect still remains strong. This is caused by an accumulation effect and a lag effect; (3) the proportion of the secondary industry and population has a strong positive effect on pollution discharge; investments in science and technology have a certain inhibitory effect on industrial sulfur dioxide emission. Moreover, an increase in the number of industrial enterprises has a negative effect on industrial wastewater emission. At the end, the authors put forward policy recommendations regarding the establishment of a joint supervisory department and unified environmental standards at the regional level to deal with the spillover effects of pollution.

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“…Burke [5] investigated carbon dioxide emissions from the combustion of fossil fuels and the manufacture of cement. The works of Tan [6] and Ertugrul [7] provided several extensive studies on the calculation of carbon emissions. A plausible method of computer modeling combining genetic algorithms and a chemical reactor network was developed by Christopher [8] to predict alternative fuel gaseous emissions.…”

Section: Introductionmentioning

confidence: 99%

Trend Prediction and Decomposed Driving Factors of Carbon Emissions in Jiangsu Province during 2015–2020

Tang

et al. 2016

Sustainability

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According to the economic and energy consumption statistics in Jiangsu Province, we combined the GM (1, 1) grey model and polynomial regression to forecast carbon emissions. Historical and projected emissions were decomposed using the Logarithmic Mean Divisia Index (LMDI) approach to assess the relative contribution of different factors to emission variability. The results showed that carbon emissions will continue to increase in Jiangsu province during 2015-2020 period and cumulative carbon emissions will increase by 39.5487 million tons within the forecast period. The growth of gross domestic product (GDP) per capita plays the greatest positive role in driving carbon emission growth. Furthermore, the improvement of energy usage efficiency is the primary factor responsible for reducing carbon emissions. Factors of population, industry structure adjustment and the optimization of fuel mix also help to reduce carbon emissions. Based on the LMDI analysis, we provide some advice for policy-makers in Jiangsu and other provinces in China.

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The impact of trade openness on global carbon dioxide emissions: Evidence from the top ten emitters among developing countries

Abstract: This study aims to analyze the relationship between carbon dioxide (CO2) emissions, trade openness, real income and energy consumption in the top ten CO2 emitters among the developing countries; namely

Cited by 382 publications

References 111 publications

Environmental Degradation and Economic Growth in ASEAN-10: The Perspective of EKC Hypothesis

Environmental Degradation and Economic Growth in ASEAN-10: The Perspective of EKC Hypothesis

Spatial Spillover Effects of Environmental Pollution in China’s Central Plains Urban Agglomeration

Trend Prediction and Decomposed Driving Factors of Carbon Emissions in Jiangsu Province during 2015–2020

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