383
Views
3
CrossRef citations to date
0
Altmetric
Articles

The impact of the platform economy and environmental regulations on the technical efficiency of the express delivery industry

, &
Pages 725-742 | Received 29 Nov 2020, Accepted 26 Apr 2021, Published online: 02 May 2021
 

ABSTRACT

This study proposes a projection pursuit – stochastic frontier analysis (PP-SFA) approach to address the shortcomings of SFA, which can only deal with a single output. The PP-SFA approach is employed to investigate the influencing factors and efficiency of the express industry in 31 provinces of China. The conclusions demonstrate that: (1) the technical efficiency of the express delivery industry in China is low, and the gap between the different regions is large. (2) An increase in the number of employees in the logistics industry will significantly promote the express delivery industry efficiency, while the increase of business outlets will inhibit this. (3) E-commerce sales platforms have a remarkably positive influence on the efficiency of the express delivery industry, but stricter control in environmental pollution restrain the industry’s technical efficiency. Furthermore, this paper advances proposals from the enterprise and government perspectives to promote the efficient development of China’s express industry.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by National Natural Science Foundation of China under [grant number 71801001].

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 235.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.