Decouple transport CO2 emissions from China’s economic expansion: A temporal-spatial analysis
129 citations recorded by the source corpus.
Abstract China’s transport industry is energy intensive and high-polluting. While with the surging urbanization and the development of service industry, China’s economic relies more and more on the transport sector. Therefore, exploring the relationship between transport energy-related carbon emission (TECE) and economic development is crucial to the realization of China’s “Post Paris” mitigation target. The paper carries out a decoupling research between TECE and Gross domestic product (GDP) at both national level and province level based on Logarithmic Mean Divisia Index (LMDI) decomposition analysis with the extended Kaya identity and Tapio decoupling model. The model quantifies eight factors’ effects on the relationship with focusing on external macro socio-economic related factors (i.e., spatial pattern, urbanization, per capita service industry output value, reciprocal of the service industry’s share of GDP, and demographic variable) successfully. The key conclusions are indicated as follows: (1) the national decoupling status was extensive coupling during 2004–2010 and then weak decoupling during 2010–2016. The progress can be attributed to the decline of energy intensity. (2) Per capita service output was always the prominent factor to promote carbon emissions growth in different time periods and provinces with inhibiting the advancement of decoupling process, followed by urbanization. (3) Scenario analysis shows that with the continuous growth of traffic demand and the promotion of urbanization, improving energy efficiency has become the key link to realize the decoupling between China’s TECE and its economy.
Subfields: Automotive Engineering, Environmental Engineering, Transportation
View Paper: https://www.semanticscholar.org/paper/01ae192a5753919d8c805b562e5b2788da56da32
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In Automotive Engineering
In Environmental Engineering
- Arshian Sharif
- Syed Abdul Rehman Khan
- Ahsan Anwar
- Kittisak Jermsittiparsert
- P. Ahmad
- Avik Sinha
- S. Fatima
- Solomon Nathaniel
Citations in the corpus
- The asymmetric effect of public private partnership investment on transport CO2 emission in China: Evidence from quantile ARDL approach (2020, methodology): “The coefficients of EG and EG2 denote that the EKC hypothesis is valid for China, and the turnaround points at the higher quantiles are outside the sample range.”