Journal of Jishou University(Social Sciences Edition) ›› 2023, Vol. 44 ›› Issue (6): 61-71.DOI: 10.13438/j.cnki.jdxb.2023.06.005

• Economics • Previous Articles     Next Articles

Measurement and Influencing Factors of Production Efficiency in China's E-commerce Industry—DEA and Panel Regression Models Based on the Provincial Data from 2016 to 2021

PENG Xiaojia   

  1. (Business School,Hunan Agricultural University,Changsha 410128,China)
  • Online:2023-11-01 Published:2023-11-28

Abstract: Taking the e-commerce industry in 31 provinces,regions,and cities in China from 2016 to 2021 as a sample,this paper calculates and identifies the production efficiency and influencing factors of the e-commerce industry by establishing a directional distance function DEA model and a regression model.The results show that,firstly,the comprehensive efficiency and pure technical efficiency of the provincial e-commerce industry in China are relatively low,leading to problems of redundant input,waste,and serious insufficient output;secondly,the overall level of production scale efficiency in the e-commerce production is relatively high,and enterprises can reasonably control their production scale;and thirdly,at present,large-scale production can basically meet the profit expectations of e-commerce enterprises,but in most regions,e-commerce enterprises have entered the stage of diminishing returns to scale and need to control production scale in the next stage.Only by strengthening the support of government policies,reinforcing innovation-driven leadership,and optimizing provincial supply chains and logistics warehousing,can we steadily improve the production efficiency of the e-commerce industry and promote high-quality economic development.

Key words: provincial e-commerce, production efficiency, e-commerce scale, e-commerce technology, DEA (data envelopment analysis)

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