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Updated: Jun 21, 2026
09:39
Spatial Temporal Analysis of Fieldwise Flow in Microvasculature
Published on: November 18, 2019
Assessing county-level high-quality development and spatial adaptation paths under the space of flows perspective: a
Linan Sun1, Weili Zhang2,3, Xiaoru Wu4
1College of Urban and Rural Planning, Henan University of Economics and Law, Zhengzhou, 450046, China.
Scientific Reports
|June 19, 2026
Summary
This study introduces a new method to assess high-quality development (HQD) at the county level in Henan Province, revealing significant spatial variations and proposing tailored strategies for diverse county types.
Area of Science:
- Regional Science
- Spatial Economics
- Development Studies
Background:
- Limited research exists on high-quality development (HQD) at the county level, particularly in agricultural regions like Henan.
- Existing methods often use uniform weighting, failing to capture local heterogeneity in development indicators.
Purpose of the Study:
- To construct a multidimensional evaluation system for county-level HQD tailored to local heterogeneity in Henan Province.
- To develop and apply a novel coupling detrended fluctuation analysis (CDFA)-based weighting mechanism for county-specific indicator assessment.
- To examine the spatiotemporal trends and structural heterogeneity of county-level HQD and identify key influencing factors.
Main Methods:
- Development of a multidimensional evaluation system incorporating the space of flows perspective.
- Application of coupling detrended fluctuation analysis (CDFA) for a temporally informed, county-specific weighting mechanism.
- Utilizing panel data (2010-2021) for 102 counties and employing geographical detectors for factor analysis.
Main Results:
- County-level HQD shows broad improvement, with a clearer core-periphery spatial pattern emerging.
- Significant county-level differences in indicator weights highlight heterogeneity in development structures.
- Locational conditions, industrial foundations, and topography are key drivers of spatial HQD differentiation.
Conclusions:
- The proposed CDFA-based method effectively captures county-level heterogeneity in HQD assessment.
- Differentiated development strategies are recommended for core, transitional, agricultural, and peripheral counties.
- The study provides a methodological reference for assessing HQD in spatially heterogeneous regions and informs spatial governance.
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