Literature DB >> 34091849

A study on evaluation and influencing factors of carbon emission performance in China's new energy vehicle enterprises.

Min Zhao1, Tao Sun2, Qiang Feng1.   

Abstract

Vehicle industry has made great contribution to human progress. However, in the process of vehicle operation, a large number of carbon compounds are emitted, which brings serious environmental problems. As one of the important means of vehicle carbon emission governance, the development of new energy vehicles (NEVs) has attracted much attention. The behavior and performance of NEV enterprises are highly concerned. Using Chinese 23 NEV vehicle enterprises' data from 2011 to 2018, this paper evaluates the carbon emission performance with the super-efficiency slacks-based measure (SE-SBM) model based on undesirable output and then constructs STIRPAT model to analyze the influencing factors of carbon emission performance. The results indicate that, firstly, the carbon emission performance of China's NEV enterprises is increasing year by year. Secondly, the carbon emission performance of different NEV enterprise is distinct in the same year, and the carbon emission performance of the same NEV enterprise is distinct in different year. Thirdly, technological innovation, government support, and free cash flow have significant positive impact on the carbon emission performance of NEV enterprises, while debt constraint, energy intensity, and enterprise size have a significant negative impact on the carbon emission performance of NEV enterprises.

Entities:  

Keywords:  Carbon emission performance; Influence mechanism; Influencing factors analysis; New energy vehicle; SE-SBM model; STIRPAT model

Year:  2021        PMID: 34091849     DOI: 10.1007/s11356-021-14730-8

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


  2 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.  Spatiotemporal Characteristics, Decoupling Effect and Driving Factors of Carbon Emission from Cultivated Land Utilization in Hubei Province.

Authors:  Pengnan Xiao; Yuan Zhang; Peng Qian; Mengyao Lu; Zupeng Yu; Jie Xu; Chong Zhao; Huilin Qian
Journal:  Int J Environ Res Public Health       Date:  2022-07-30       Impact factor: 4.614

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.