Literature DB >> 32445144

The impact of technology-environmental innovation on CO2 emissions in China's transportation sector.

Fang Chen1, Tao Zhao1, Zhiming Liao2.   

Abstract

Along with the development of urbanization and informationization, an increasing attention has been attracted to CO2 emissions of China's transportation sector and its influencing factors. Such researches mainly utilize single indicator or two indicators to represent technology process. This research aims to verify the influence of technology-environmental innovation indicator system on CO2 emissions of China's transportation sector by decoupling elasticity and econometric model. We firstly recognize the decoupling status of CO2 emissions of China's transportation sector from social economic development and aggregate China's 30 provinces into two groups according to the varied decoupling status, namely expansive coupling and weak decoupling groups. Then, we develop a relatively comprehensive technology-environmental innovation indicator system to measure technology process. Finally, the multi-region comparison of emission drivers is studied among overall China and the two groups. The result shows that the decoupling elasticity of China's transportation has experienced an evolution process trending to desired development status and all the provinces have experienced expansive coupling and weak decoupling from 2001 to 2016, except Qinghai. Innovation performance indicators exert most important influence on the CO2 emissions of transportation sector. Finally, the influences of technology-environmental innovation indicators are similar across groups with different magnitude, suggesting that common but differentiated strategies should be provided when mitigating CO2 emissions with technology process. Graphical abstract.

Entities:  

Keywords:  CO2 emissions; Decoupling analysis; System GMM; Technology-environmental innovation; Transportation sector

Year:  2020        PMID: 32445144     DOI: 10.1007/s11356-020-08983-y

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  3 in total

1.  A scenario-based approach to predict energy demand and carbon emission of electric vehicles on the electric grid.

Authors:  Wai Ming Cheung
Journal:  Environ Sci Pollut Res Int       Date:  2022-06-08       Impact factor: 5.190

2.  Impact and mechanism of digital economy on China's carbon emissions: from the perspective of spatial heterogeneity.

Authors:  Haijing Yu; Qin Zhu
Journal:  Environ Sci Pollut Res Int       Date:  2022-09-03       Impact factor: 5.190

3.  Research on China Cities' Total Factor Productivity of Carbon Emission: Based on Decoupling Effect.

Authors:  Fang Chen; Tao Zhao; Di Wang
Journal:  Int J Environ Res Public Health       Date:  2022-02-11       Impact factor: 3.390

  3 in total

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