Digital economy development assessment and spatiotemporal evolution at the urban level in China based on the NTL&POI fusion index

Precisely measuring digital economy development is essential for optimizing regional spatial layouts and promoting coordinated growth. To address the limitations of traditional data sources and the weak integration of industrial structure in single remote sensing indicators, this study constructs a fusion index combining nighttime light (NTL) and point of interest (POI) data. Coupled with an ε-support vector regression (ε-SVR) model, this NTL&POI fusion index was used to estimate the digital economy index (DEI) for 367 Chinese cities during 2018–2023. The results reveal a marked improvement in urban digital economies: the proportion of starting-stage cities declined from 75 % to 58 %, while leading-stage cities more than doubled from 6 to 13. Spatially, an increasingly clustered distribution around core cities is indicated by the rise of global Moran’s I from 0.235 to 0.381. Spatial imbalance remains significant, with an average annual Gini coefficient of 0.108, and between-region differences accounting for 40.60 % of the total variation. High-value clusters are concentrated in eastern coastal areas, whereas western regions lag behind. Increased spatial concentration is also evident from a contracting standard deviation ellipse, with the center of gravity remaining stable in Nanyang, Henan Province. This study proposes a novel spatial assessment framework for the digital economy using fused multi-source geospatial data as proxies. The findings offer empirical insights into the spatial dynamics and geographic restructuring of the digital economy in China and provide a foundation for targeted policymaking to foster cross-regional coordination, phased development, and integrated digital growth. • The NTL&POI fusion index provides a new perspective for measuring the digital economy. • The digital economy development level in Chinese cities has shown remarkable temporal advancement. • The digital economy of Chinese cities has generated spatial spillover effects in agglomeration. • Significant spatial imbalances characterize digital economy development in Chinese cities.

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Publication Details

Journal
GEOMATICA
Published
2025-08-15
DOI
https://doi.org/10.1016/j.geomat.2025.100067
Primary Topic
Impact of Light on Environment and Health
Type
article
Field-Weighted Citation Impact
0.00

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article

Digital economy development assessment and spatiotemporal evolution at the urban level in China based on the NTL&POI fusion index

Tingyan Wang, Honglong Chen, Jinghua Zhang, Jiadong Zhang et al.
GEOMATICA
Impact of Light on Environment and Health
article

Digital economy development assessment and spatiotemporal evolution at the urban level in China based on the NTL&POI fusion index

Tingyan Wang, Honglong Chen, Jinghua Zhang, Jiadong Zhang, Xiaojie Liu, Lingxin Bao, Xiaowei Zhang
article en

Abstract

Precisely measuring digital economy development is essential for optimizing regional spatial layouts and promoting coordinated growth. To address the limitations of traditional data sources and the weak integration of industrial structure in single remote sensing indicators, this study constructs a fusion index combining nighttime light (NTL) and point of interest (POI) data. Coupled with an ε-support vector regression (ε-SVR) model, this NTL&POI fusion index was used to estimate the digital economy index (DEI) for 367 Chinese cities during 2018–2023. The results reveal a marked improvement in urban digital economies: the proportion of starting-stage cities declined from 75 % to 58 %, while leading-stage cities more than doubled from 6 to 13. Spatially, an increasingly clustered distribution around core cities is indicated by the rise of global Moran’s I from 0.235 to 0.381. Spatial imbalance remains significant, with an average annual Gini coefficient of 0.108, and between-region differences accounting for 40.60 % of the total variation. High-value clusters are concentrated in eastern coastal areas, whereas western regions lag behind. Increased spatial concentration is also evident from a contracting standard deviation ellipse, with the center of gravity remaining stable in Nanyang, Henan Province. This study proposes a novel spatial assessment framework for the digital economy using fused multi-source geospatial data as proxies. The findings offer empirical insights into the spatial dynamics and geographic restructuring of the digital economy in China and provide a foundation for targeted policymaking to foster cross-regional coordination, phased development, and integrated digital growth. • The NTL&POI fusion index provides a new perspective for measuring the digital economy. • The digital economy development level in Chinese cities has shown remarkable temporal advancement. • The digital economy of Chinese cities has generated spatial spillover effects in agglomeration. • Significant spatial imbalances characterize digital economy development in Chinese cities.

GEOMATICAVol. 77(2)
Fujian Agriculture and Forestry University (CN)
Natural Science Foundation of Fujian Province, Fujian Agriculture and Forestry University
Sustainable cities and communities
Openalex Percentile: Top 79%
Impact of Light on Environment and Health
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