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Per capita CO2 emissions divergence influenced by bilateral trade with china under the belt and road initiative
- Source :
- Sustainable Production and Consumption. 27:1589-1601
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- This paper is an empirical study of per capita CO2 emissions divergence. Trade intensity reflects the strength of bilateral trade relations between China and the Belt and Road Initiative (BRI) countries. Using panel data covering 97 of the BRI countries from 2002 to 2017 and employing the dynamic panel system generalized method of moments (GMM) model with additional instrumental variables of remoteness and the Shapley value decomposition technique, this study has three main findings. First, the import intensity from China tends to restrain per capita CO2 emissions, but the export intensity to China tends to promote per capita CO2 emissions of BRI countries. Second, the Gini coefficient of per capita CO2 emissions continually decreases, representing a gradually weakened divergence. Third, from 2009 the impact of import intensity from China on the divergence changed from increasing CO2 emissions to restraining them. However, export intensity to China has continually promoted the divergence among the BRI countries, with the impact being largest in 2016. The results suggest that China should adjust the sources of its energy imports and the destinations of its exports, and develop green trade cooperation with the BRI countries to jointly tackle climate change.
- Subjects :
- Environmental Engineering
Gini coefficient
Renewable Energy, Sustainability and the Environment
020209 energy
Instrumental variable
Climate change
02 engineering and technology
010501 environmental sciences
01 natural sciences
Industrial and Manufacturing Engineering
Agricultural economics
Bilateral trade
0202 electrical engineering, electronic engineering, information engineering
Economics
Per capita
Environmental Chemistry
China
0105 earth and related environmental sciences
Panel data
Generalized method of moments
Subjects
Details
- ISSN :
- 23525509
- Volume :
- 27
- Database :
- OpenAIRE
- Journal :
- Sustainable Production and Consumption
- Accession number :
- edsair.doi...........7dd137c88ea4ca8ec405083898e4f1fe
- Full Text :
- https://doi.org/10.1016/j.spc.2021.04.005