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<p>With the changing structure of the e-commerce industry, the analysis of economic efficiency influencing factors helps to optimize the layout of the e-commerce industry. This paper analyzes the spatial correlation of regional e-commerce economic development by constructing a spatial weight matrix, thus proposing a geographically weighted regression model combining spatial correlation and spatial measurement and constructing a statistical GWR data sample of 11 prefecture-level cities in Jiangxi Province. Then, the DEA model was used to quantify the economic efficiency of the e-commerce industry in these 11 prefecture-level cities, and on this basis, the influencing factors of the e-commerce development efficiency and their related role coefficients were studied based on the GWR model. The average value of the e-commerce industry efficiency of the 11 prefecture-level cities in 2018 was 0.656, which did not reach DEA validity, and the comprehensive technical efficiency of the e-commerce industry varied widely across the regions, and the efficiency of the e-commerce industry in many places The most significant impact on the overall efficiency is the efficiency of the e-commerce industry. The population size, which reaches 0.856 on average, is the most significant impact on comprehensive efficiency. The information facility base is the most significant impact on pure technical efficiency, which averages 0.823. This study effectively quantifies the role of different influencing factors on the economic efficiency of different sides of the e-commerce industry and can provide an effective reference for the optimization of the structural layout of the e-commerce industry.</p>
</abstract>

With the changing structure of the e-commerce industry, the analysis of economic efficiency influencing factors helps to optimize the layout of the e-commerce industry. This paper analyzes the spatial correlation of regional e-commerce economic development by constructing a spatial weight matrix, thus proposing a geographically weighted regression model combining spatial correlation and spatial measurement and constructing a statistical GWR data sample of 11 prefecture-level cities in Jiangxi Province. Then, the DEA model was used to quantify the economic efficiency of the e-commerce industry in these 11 prefecture-level cities, and on this basis, the influencing factors of the e-commerce development efficiency and their related role coefficients were studied based on the GWR model. The average value of the e-commerce industry efficiency of the 11 prefecture-level cities in 2018 was 0.656, which did not reach DEA validity, and the comprehensive technical efficiency of the e-commerce industry varied widely across the regions, and the efficiency of the e-commerce industry in many places The most significant impact on the overall efficiency is the efficiency of the e-commerce industry. The population size, which reaches 0.856 on average, is the most significant impact on comprehensive efficiency. The information facility base is the most significant impact on pure technical efficiency, which averages 0.823. This study effectively quantifies the role of different influencing factors on the economic efficiency of different sides of the e-commerce industry and can provide an effective reference for the optimization of the structural layout of the e-commerce industry.

Analysis of the factors influencing economic efficiency in the structural change of e-commerce industry

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

With the changing structure of the e-commerce industry, the analysis of economic efficiency influencing factors helps to optimize the layout of the e-commerce...

Analysis of the factors influencing economic efficiency in the structural change of e-commerce industry

Pubblicato online: 06 set 2023

Pagine: -

Ricevuto: 15 ott 2022

Accettato: 17 mar 2022

DOI: https://doi.org/10.2478/amns.2023.2.00293

Parole chiave
E-commerce industry, Economic efficiency, GWR model, DEA model, Spatial correlation, Spatial measurement

© 2023 Yi Hu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Analysis of the factors influencing economic efficiency in the structural change of e-commerce industry

Pubblicato online: 06 set 2023

Pagine: -

Ricevuto: 15 ott 2022

Accettato: 17 mar 2022

DOI: https://doi.org/10.2478/amns.2023.2.00293

Parole chiaveE-commerce industry, Economic efficiency, GWR model, DEA model, Spatial correlation, Spatial measurement

© 2023 Yi Hu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Parole chiave
E-commerce industry, Economic efficiency, GWR model, DEA model, Spatial correlation, Spatial measurement