International trade and carbon emissions: The role of Chinese institutional and policy reforms

Andersson, Fredrik N. G.

doi:10.1016/j.jenvman.2017.09.052

Cited by 119 publications

(59 citation statements)

References 49 publications

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“…However, the results from this research have been variable (finding either positive or negative relationships), and a specific consensus has not been reached. This has generated much concern for current studies on the subject, prompting researchers to include economic growth, energy consumption, urbanization, and foreign direct investment (FDI) in the investigation of the relationship between trade openness and environmental quality [8][9][10]. In economic theory, we know that increasing trade enhances growth.…”

Section: Introductionmentioning

confidence: 99%

Trade Openness and Carbon Emissions: Evidence from Belt and Road Countries

et al. 2019

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The search for a green and low-carbon economy has been a guide to current energy and environmental research. Using current panel cointegration approaches, our study examines the interaction between trade and an environmental pollution proxy of carbon dioxide (CO2) emissions by integrating economic growth and energy usage as major potential determining factors in this relationship for 49 high-emission countries in Belt and Road regions over the period of 1991–2014. For a robust analysis, we further grouped these countries into income panels (high, middle, low) and various regions (East Asia, Southeast Asia, Central Asia, South Asia, the Middle East/Africa, and Europe). The results of the panel cointegration tests revealed that the four variables were stationary in the long run. Similarly, our panel results indicated that trade openness had both positive and negative impacts on environmental pollution, but the effect varied in these different groups of nations. The results of the vector error correction model (VECM) causality also showed a long-run causal effect between trade, economic growth, energy consumption, and environmental pollution in the Belt and Road, Europe, high-income, middle-income, and low-income panels. The environmental Kuznets curve (EKC) results further indicated the existence of an inverted U-form relationship between trade and carbon emissions. Finally, certain policy implications are discussed.

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Section: Introductionmentioning

confidence: 99%

Trade Openness and Carbon Emissions: Evidence from Belt and Road Countries

et al. 2019

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“…Results obtained for the variable agricultural raw materials exports were in line with the perspective that international trade fostered climate change and global warming. The empirical studies of Amador et al (2016), Andersson (2018) and Wang and Ang (2018) supported these arguments.…”

Section: Discussionmentioning

confidence: 72%

“…The studies of Amador et al (2018), Andersson (2018) and Wang and Ang (2018) demonstrate that international trade is associated with environmental pollution. In this context, Balogh and Jambor (2017), Shahbaz and Leitão (2013), and Leitão (2015) found a positive relationship between international trade and carbon dioxide emissions.…”

Section: H3: International Trade Encourages Climate Changementioning

confidence: 99%

“…However, studies of Balogh and Jambor (2017), Shahbaz and Leitão (2013), and Leitão (2015) found a positive relationship between international trade and carbon dioxide emissions. In this context, empirical studies of Amador et al (2016), Andersson (2018) and Wang and Ang (2018) showed that trade liberalization and globalization accentuated global carbon dioxide emissions.…”

Section: Introductionmentioning

confidence: 99%

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The relationship between carbon dioxide emissions and Portuguese agricultural productivity

Leitão¹

2018

Stud. Agr. Econ.

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Literature review In this section, the most relevant literature is considered, explaining the link between agricultural productivity and environmental pollution. Literature in general has seen pollution as one of the major causes of climate change. Scientific articles in this area address this issue concerning the relationship among climate change, energy consumption, agricultural productivity, agricultural land productivity and international trade. Researchers have used different econometric approaches to analyse this issue. Empirical studies on the topic have more often used dynamic models, both concerning time series and panel data. However, as the literature review below suggests, time series using autoregressive vectors (VAR and vector error correction model-VECM) have been more frequently used because this methodology permits to estimate the causality between the variables used (see recent contributions of Asumadu-Sarkodie, 2016; Edoja et al., 2016 and Ullah et al., 2018). A considerable part of the literature emphasizes the relationship between energy consumption (non renewable energy) and carbon dioxide emissions. The increase of economic activity assumes an increase in energy consumption and consequently an increase in carbon dioxide emissions.

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“…For Chinese trade, Andersson (2018) also analyzed the association between trade liberalization and environmental degradation. The study utilized the data of nineteen economies from 1995 to 2008.…”

Section: Literature Reviewmentioning

confidence: 99%

The Role of Trade Liberalization in Carbon Dioxide Emission: Evidence From Heterogeneous Panel Estimations

Zandi¹,

Haseeb²

2019

IJFR

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In the present globalized world, production forms are progressively divided across nations. Consequently, domestic consumption in one nation is progressively fulfilled by worldwide supply chains. This spectacle has pulled policy and widespread intellectual discussions on the assignment of greenhouse gas (GHG) emanations, especially carbon dioxide (CO2) emission; these are accountabilities connected to global trade since worldwide trade causes net carbon dioxide emission. The aim of the present study is to examine the impact of trade liberalization on carbon dioxide emission. We used the panel data of 105 developed and developing countries from 1990 to 2017. The results of FMOLS and DOLS confirm that all variables are connected in the long-run period. The results of long run coefficient confirm that that the trade liberalization has a positive effect on environmental degradation and cause to increase environmental degradation. Likewise, economic growth and energy consumption has also a positive and significant impact on environmental degradation. However, we find an evidence of negative and significant impact of renewable energy utilization on environmental degradation. Finally, the results of heterogeneous panel causality confirm that there is a uni-directional causal relationship between trade liberalization and environmental degradation where causality is running from trade liberalization to environmental degradation. However, we find a bi-directional causal relationship of environmental degradation with energy utilization and renewable energy utilization in all selected developed and developing countries.

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International trade and carbon emissions: The role of Chinese institutional and policy reforms

Cited by 119 publications

References 49 publications

Trade Openness and Carbon Emissions: Evidence from Belt and Road Countries

Trade Openness and Carbon Emissions: Evidence from Belt and Road Countries

The relationship between carbon dioxide emissions and Portuguese agricultural productivity

The Role of Trade Liberalization in Carbon Dioxide Emission: Evidence From Heterogeneous Panel Estimations

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