The Smart City Policy and Urban Public Service Delivery: A Quantitative Study Under the Background of COVID-19 Pandemic

The aim of this study is to empirically investigate the contributions of smart city policy (SCP) in promoting urban public service delivery during the COVID-19 pandemic. The effect of the pandemic on urban public service delivery is evaluated using a continuous difference-in-differences (DID) methodology based on a sample of 200 cities in China. On that basis, a triple-difference (DDD) model is built to evaluate the mitigation effect of SCP. The results indicate that the COVID-19 pandemic has significantly hindered urban public service delivery. SCP is capable of significantly mitigating the negative effect of the pandemic on urban public service delivery. Moreover, cities with a larger scale and better location advantage are subjected to a more significant mitigation effect of SCP, as revealed by the heterogeneity analysis results. The findings of this study provide useful empirical evidence for policy-makers and urban planners and significant practical implications for facilitating smart city construction and boosting urban public service delivery in the future.

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Publication Details

Journal
Lex localis - Journal of Local Self-Government
Published
2025-01-27
DOI
https://doi.org/10.52152/23.1.28-53(2025)
Primary Topic
Smart Cities and Technologies
Type
article
Field-Weighted Citation Impact
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article

The Smart City Policy and Urban Public Service Delivery: A Quantitative Study Under the Background of COVID-19 Pandemic

Dingxiang Chen, Nini Xu
Lex localis - Journal of Local Self-Government
Smart Cities and Technologies
article

The Smart City Policy and Urban Public Service Delivery: A Quantitative Study Under the Background of COVID-19 Pandemic

Dingxiang Chen, Nini Xu
article en

Abstract

The aim of this study is to empirically investigate the contributions of smart city policy (SCP) in promoting urban public service delivery during the COVID-19 pandemic. The effect of the pandemic on urban public service delivery is evaluated using a continuous difference-in-differences (DID) methodology based on a sample of 200 cities in China. On that basis, a triple-difference (DDD) model is built to evaluate the mitigation effect of SCP. The results indicate that the COVID-19 pandemic has significantly hindered urban public service delivery. SCP is capable of significantly mitigating the negative effect of the pandemic on urban public service delivery. Moreover, cities with a larger scale and better location advantage are subjected to a more significant mitigation effect of SCP, as revealed by the heterogeneity analysis results. The findings of this study provide useful empirical evidence for policy-makers and urban planners and significant practical implications for facilitating smart city construction and boosting urban public service delivery in the future.

Lex localis - Journal of Local Self-Government
Hefei University of Technology (CN), Minnan Normal University (CN)
Openalex Percentile: Top 98%
Smart Cities and Technologies
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