Spatial-temporal differentiation pattern and influencing factors of land economic density at the township scale in Zhejiang Province
Fangfang Ma, Yiping Hu, Zhiwei Ding

TL;DR
This study examines how economic density varies across townships in Zhejiang Province and identifies factors influencing these patterns.
Contribution
The paper introduces a detailed township-scale analysis of land economic density and its influencing factors in Zhejiang Province.
Findings
The imbalance in industrial economies increased between 2014 and 2019, with coefficients of variation rising from 2.6 to 3.1.
High-value economic agglomerations are concentrated in Northern Zhejiang, while low-value clusters are found in Southern Zhejiang.
Population density was the most significant factor influencing land economic density at the township level.
Abstract
Based on the land economic density of 892 town units, the spatial pattern of the land economic density in Zhejiang Province is analyzed using the coefficient of variation, spatial classification, and spatial correlation methods, and the influencing factors are analyzed using a spatial regression model. The results are as follows: (1) The coefficients of variation were 2.6 and 3.1 in 2014 and 2019, respectively, indicating that the degree of imbalance of the town’s industrial economy at the county level increased. (2) The distribution of the high-level agglomeration areas was characterized by one core area and two sub-core areas. The main core area was located at the junction of Hangzhou City, Shaoxing City, and Jiaxing City, and the two sub-core areas were located in Yuyao City and the main urban area of Ningbo City. In addition, several small-scale agglomeration areas composed of…
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Taxonomy
TopicsRegional Economic and Spatial Analysis · Spatial and Panel Data Analysis · Regional Economics and Spatial Analysis
