Spatio-temporal analysis of the new quality productive forces of China's logistics industry

Zichun Wang; Song Han; Zichun Wang; Song Han

doi:10.3934/NAR.2025017

National Accounting Review

2025, Volume 7, Issue 3: 398-427. doi: 10.3934/NAR.2025017

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Research article

Spatio-temporal analysis of the new quality productive forces of China's logistics industry

Zichun Wang ,
Song Han ^,

School of system science and statistics, Beijing Wuzi University, Beijing 101149, China

Received: 09 April 2025 Revised: 06 July 2025 Accepted: 29 July 2025 Published: 03 September 2025
JEL Codes: C23, R11, O33

With the sustained economic expansion of China, the logistics sector functions as a vital conduit linking production and consumption, holding significant importance. Moreover, the emergence of the new quality productive forces (NQPF) concept positions the logistics industry's own NQPF as a pivotal driver accelerating sectoral advancement. Leveraging panel data on the development level of logistics NQPF across 30 Chinese provinces (excluding Tibet, Hong Kong, Macao, and Taiwan due to data constraints) from 2015 to 2022, this study employed a suite of methodologies—including the entropy weight method, kernel density estimation, the Dagum Gini coefficient, Moran's I, and the spatial Durbin model—to conduct statistical measurement, spatial characterization, and factor analysis. The findings reveal pronounced regional imbalances in development, with the east region markedly outperforming others and exhibiting substantial gradient disparities relative to the middle, west, and northeast regions. Nevertheless, significant spatial autocorrelation exists among provinces, predominantly manifesting in the first and third quadrants, indicating clusters of high-high agglomeration (H-H) and low-low agglomeration (L-L). Furthermore, factor analysis identified the key determinants influencing the evolution of NQPF within China's logistics industry.
- new quality productive forces of logistics industry,
- entropy weight method,
- kernel density estimation,
- Dagum Gini coefficient,
- Moran's I,
- Spatial Durbin model
Citation: Zichun Wang, Song Han. Spatio-temporal analysis of the new quality productive forces of China's logistics industry[J]. National Accounting Review, 2025, 7(3): 398-427. doi: 10.3934/NAR.2025017

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Abstract

With the sustained economic expansion of China, the logistics sector functions as a vital conduit linking production and consumption, holding significant importance. Moreover, the emergence of the new quality productive forces (NQPF) concept positions the logistics industry's own NQPF as a pivotal driver accelerating sectoral advancement. Leveraging panel data on the development level of logistics NQPF across 30 Chinese provinces (excluding Tibet, Hong Kong, Macao, and Taiwan due to data constraints) from 2015 to 2022, this study employed a suite of methodologies—including the entropy weight method, kernel density estimation, the Dagum Gini coefficient, Moran's I, and the spatial Durbin model—to conduct statistical measurement, spatial characterization, and factor analysis. The findings reveal pronounced regional imbalances in development, with the east region markedly outperforming others and exhibiting substantial gradient disparities relative to the middle, west, and northeast regions. Nevertheless, significant spatial autocorrelation exists among provinces, predominantly manifesting in the first and third quadrants, indicating clusters of high-high agglomeration (H-H) and low-low agglomeration (L-L). Furthermore, factor analysis identified the key determinants influencing the evolution of NQPF within China's logistics industry.

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