Based on panel data of municipal infrastructure in county towns from 2016 to 2020, this study employs the cumulative distribution curve and Dagum Gini coefficient to assess the distribution dynamics and regional disparities of municipal infrastructure. The study also evaluates the spatial correlation and clustering patterns, and uses the coefficient of variation to analyze their σ convergence. Additionally, the study establishes a dynamic spatial panel data model to test for β convergence. The results indicate that from 2016 to 2020, the level of municipal infrastructure in county towns has significantly improved. The level of infrastructure exhibits a declining pattern, with higher levels in the eastern region and lower levels in the western region. The disparity of municipal infrastructure is generally small, with intra-regional disparity contributing more to the overall disparity and increasing over time. Hypervariable density is the primary source of overall disparity. The study also finds evidence of σ convergence, absolute β convergence, and conditional β convergence in all types of municipal infrastructure at the national level and the comprehensive scores across the eastern, central, and western regions. The convergence rate is fastest in the central region and slowest in the western region, and spatial factors have a positive impact on convergence. Based on these findings, the study recommends increased investment in low-level municipal infrastructure in county towns, improved regional coordination policies, exerted spatial spillover effects, made precise policies for different regions and types of infrastructure, optimized the investment system.
WANG Zuo-bao
,
DONG Lin
,
ZHOU Yu-xiang
. Regional disparity and convergence analysis of county towns' municipal infrastructure levels in China[J]. Urban Problems, 2023
, 332(3)
: 59
-70
.
DOI: 10.13239/j.bjsshkxy.cswt.230307
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