Did New Retail Enhance Enterprise Competition during the COVID-19 Pandemic? An Empirical Analysis of Operating Efficiency

Author:

Yang Yunpeng1ORCID,Chen Hongmin1,Liang Hejun2ORCID

Affiliation:

1. Antai College of Economics and Management, Shanghai Jiao Tong University, Shanghai 200030, China

2. College of Engineering Science and Technology, Shanghai Ocean University, Shanghai 201306, China

Abstract

The question concerning how digital consumption demand has been adapted and how matching business models have been built has become an important practical problem in the digital development of the retail industry. Considering the effects of COVID-19, whether new retail enterprises can maintain adequate competitiveness and risk resilience in the post-pandemic era deserves in-depth study. In comparing the development of traditional retail and new retail enterprises, we extracted and evaluated key factors of enterprise operating efficiency. Then, we measured the transformation efficiency of 65 enterprises in China listed in 2016 and 2020 by establishing a DEA model and the Malmquist index method. Finally, based on an empirical analysis demonstrating the necessity of traditional retail transformation, we analyzed retail enterprises’ efficiency and dynamic efficiency changes. The results show that the operating efficiency of enterprises using the new retail model was higher than those using the traditional retail model. The technical efficiency and total factor productivity were significantly improved after the new retail model was applied. Both technological progress and improved technological efficiency contributed to the improvement in total factor productivity during the COVID-19 pandemic.

Funder

Youth Project of Shanghai Philosophy and Social Science Planning

Major Projects on Philosophy and Social Science Research of the Ministry of Education of the People’s Republic of China

National Natural Science Foundation of China

Startup Foundation for Young Teachers of Shanghai Ocean University

Startup Fund for Young Faculty at SJTU

Publisher

MDPI AG

Subject

Computer Science Applications,General Business, Management and Accounting

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