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Trade openness and environment: a panel data analysis for 88 selected BRI countries

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Abstract

In 2013, the Chinese government officially announced the Belt and Road Initiative (BRI). Since then, environmentalists have raised concerns regarding the environmental impact of trade between China and BRI countries. Therefore, the current study aims to analyze the environmental impact of the two aspects of BRI countries’ trade: First, it examines the environmental impact of trade openness between China and BRI countries. Second, it examines the environmental impact of trade openness among BRI countries. For this purpose, the current study employs the two-step system GMM model with a panel dataset for the period 2001–2018. The results obtained for the whole sample of 88 selected BRI countries suggest that the trade openness between China and BRI countries significantly reduces CO2 emissions. However, the trade openness among BRI countries has no significant effect on CO2 emissions. In addition, BRI countries’ exports to China do not have a significant effect on CO2 emissions. However, BRI countries’ imports from China significantly reduce CO2 emissions in these countries. The results obtained for the subsamples of BRI countries suggest that the trade openness between China and BRI countries, BRI countries’ exports to China, and BRI countries’ imports from China have no significant effect on CO2 emissions in both low-income and high-income BRI countries. Moreover, the trade openness among BRI countries significantly increases CO2 emissions in low-income BRI countries only.

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Notes

  1. We have considered the two aspects of BRI countries’ trade. One aspect is the trade between China and BRI countries. The other aspect is the trade among BRI countries (each BRI country’s trade with rest of the BRI countries).

  2. Low-income BRI countries include both lower-income countries and lower-middle-income countries.

  3. High-income BRI countries include both upper-middle-income countries and high-income countries.

  4. The most commonly used measures of environmental pollution are CO2 (carbon dioxide) emissions and NO2 (nitrogen dioxide) emissions. They both emit from direct fuel combustion and other burning activities. Both are considered severe threats to the environmental quality. According to the environmental protection agency report 2017, CO2 accounts 76% share of global greenhouse gas emissions. Therefore, it is most commonly used as a measure of environmental pollution.

  5. The validity of instruments requires that these instruments should be correlated with their respective level terms but not correlated with the error term. The validity of instruments are tested with Hansen test of over identifying restrictions with null hypothesis suggesting that the instruments used are valid.

  6. The justification of the GMM technique requires the existence of the first-order serial correlation (but no second- order serial correlation) in the differenced equation.

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Availability of data and materials

The data used for estimation purposes in this research is taken from International Energy Agency (IEA) available at https://www.iea.org/data-and-statistics/data-product/co2-emissions-from-fuel-combustion-highlights, World Bank Indicators (WDI) available at https://databank.worldbank.org/source/world-development-indicators, World Integrated Trade Solution (WITS) available at https://wits.worldbank.org/CountryProfile/en/Country/CHN/StartYear/2001/EndYear/2018/TradeFlow/Export/Partner/ALL/Indicator/XPRT-TRD-VL, US Energy Information Agency (EIA) available at https://www.eia.gov/opendata/ and Worldwide Governance Indicators (WGI) available at https://info.worldbank.org/governance/wgi/.

Funding

This work was supported by the Key Project of National Social Science Fund of China (grant number 19AJY011); the Key Project of Jiangsu’s Social Science Fund (grant number 19CSJ010); and scientific Research Fund for the Fifth Phase of “333 High-level Talent Training Project” of Jiangsu Province in 2020 (grant number BRA2020038).

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Muhammad Salam—conceptualization, collection of data, methodology, estimation of results, and article writing. Xu Yingzhi—conceptualization, supervision, and article review. Both authors read and approved the final manuscript.

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Correspondence to Yingzhi Xu.

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Salam, M., Xu, Y. Trade openness and environment: a panel data analysis for 88 selected BRI countries. Environ Sci Pollut Res 29, 23249–23263 (2022). https://doi.org/10.1007/s11356-021-17037-w

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