How does digitalization affect the urban-rural income gap? A study using panel fsQCA and NCA in developing economies

Against the backdrop of the accelerating wave of global digitalization, digitalization is considered a key opportunity to bridge the urban-rural income gap in developing economies. However, existing research conclusions on this topic are fragmented and inconclusive. Based on a configurational theory perspective, this study combines panel fuzzy set qualitative comparative analysis (fsQCA) and necessary condition analysis (NCA) to examine sample data from 96 developing economies between 2013 and 2021. It aims to reveal the diversified digitalization development pathways that drive the reduction in the urban-rural income gap. This study identifies three distinct yet equifinal digitalization-empowered models that effectively narrow the urban-rural income gap: (1) digital transplantation based on comprehensive development, (2) technology-economy dual-drive model based on economic prosperity and good governance, and (3) comprehensive digitalization based on economic prosperity and openness. Further analysis reveals that several dimensions of digital transformation play universally positive yet distinctly characterized key roles. Moreover, the configurational mechanisms exhibit “completeness” and “substitutability” logic, the “Matthew effect” across different economies, and specific spatio-temporal characteristics. These findings deepen the theoretical understanding of the complex causal relationship between digitalization and the urban-rural income gap, offering important empirical evidence and policy implications for developing economies and international organizations in formulating more targeted and effective digitalization strategies to promote coordinated urban-rural development. • Three successful digitalization patterns driving the reduction of the urban-rural income gap have been identified, including: (1) digital transplantation based on comprehensive development; (2) technology-economy dual drive based on economic prosperity and good governance; (3) comprehensive digitalization based on economic prosperity and openness. • Digital infrastructure, digital industry, digital finance, and digital governance universally exhibit positive roles, albeit with differences. The impact of digitalization is generally positive. • The impact of digitalization reflects both completeness and substitutability logics, and exhibits the "Matthew effect" across different economies. • The explanatory power of digitalization on the urban-rural gap shows dynamic changes and spatial distribution differences.

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Journal
Socio-Economic Planning Sciences
Published
2026-02-21
DOI
https://doi.org/10.1016/j.seps.2026.102456
Primary Topic
Qualitative Comparative Analysis Research
Type
article
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article

How does digitalization affect the urban-rural income gap? A study using panel fsQCA and NCA in developing economies

Shuigen Hu, Yulong Jie, Siling Zhu, Jue Wang
Socio-Economic Planning Sciences
Qualitative Comparative Analysis Research
article

How does digitalization affect the urban-rural income gap? A study using panel fsQCA and NCA in developing economies

Shuigen Hu, Yulong Jie, Siling Zhu, Jue Wang
article en

Abstract

Against the backdrop of the accelerating wave of global digitalization, digitalization is considered a key opportunity to bridge the urban-rural income gap in developing economies. However, existing research conclusions on this topic are fragmented and inconclusive. Based on a configurational theory perspective, this study combines panel fuzzy set qualitative comparative analysis (fsQCA) and necessary condition analysis (NCA) to examine sample data from 96 developing economies between 2013 and 2021. It aims to reveal the diversified digitalization development pathways that drive the reduction in the urban-rural income gap. This study identifies three distinct yet equifinal digitalization-empowered models that effectively narrow the urban-rural income gap: (1) digital transplantation based on comprehensive development, (2) technology-economy dual-drive model based on economic prosperity and good governance, and (3) comprehensive digitalization based on economic prosperity and openness. Further analysis reveals that several dimensions of digital transformation play universally positive yet distinctly characterized key roles. Moreover, the configurational mechanisms exhibit “completeness” and “substitutability” logic, the “Matthew effect” across different economies, and specific spatio-temporal characteristics. These findings deepen the theoretical understanding of the complex causal relationship between digitalization and the urban-rural income gap, offering important empirical evidence and policy implications for developing economies and international organizations in formulating more targeted and effective digitalization strategies to promote coordinated urban-rural development. • Three successful digitalization patterns driving the reduction of the urban-rural income gap have been identified, including: (1) digital transplantation based on comprehensive development; (2) technology-economy dual drive based on economic prosperity and good governance; (3) comprehensive digitalization based on economic prosperity and openness. • Digital infrastructure, digital industry, digital finance, and digital governance universally exhibit positive roles, albeit with differences. The impact of digitalization is generally positive. • The impact of digitalization reflects both completeness and substitutability logics, and exhibits the "Matthew effect" across different economies. • The explanatory power of digitalization on the urban-rural gap shows dynamic changes and spatial distribution differences.

Socio-Economic Planning SciencesVol. 105
Nanyang Technological University (SG), Zhejiang University (CN), Tsinghua University (CN)
Openalex Percentile: Top 53%
Qualitative Comparative Analysis Research
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