.png){kind=icon}
.png){kind=icon}
Return
Land-System Comparability for Pilot-Zone Learning: A Contribution-Structure Audit of China’s Urban-Rural Integration Pilot Units
.png){kind=icon}
OA
AI
Y
X
M
D
DOI：10.3390/land15081456.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Composite indicators support policy comparison by compressing multidimensional information, but different indicator configurations can appear similar in aggregate. This study develops and applies a contribution-structure audit to China’s 86 county-level urban-rural integration pilot units. Using 2019–2023 multi-source spatial data, we apply principal component analysis (PCA) to indicators of economic-activity change, built-up expansion, public-service facility nodes, and transport-service nodes. Along the dominant axis, built-up and economic-activity changes oppose facility- and transport-node changes, enabling different indicator configurations to occupy nearby composite positions through compensation. Across all 3655 pairs among the 86 units, composite-position and contribution-structure distances constructed from the same standardized indicators and PCA weights are positively associated (Pearson r = 0.543), reflecting their internal alignment. The baseline Q25/Q75 same-zone strict screen identifies 11 pairs in which close composite positions coexist with divergent contribution structures. Such pairs also appear in alternative checks that vary screening thresholds, regional composition, POI variables, and distance definitions. Their counts and identities change across specifications. This finding supports inspecting contribution structures when selecting apparently similar cases. For comparative learning among pilot units, the audit identifies cases requiring contextual evidence on institutions, implementation, and outcomes before their experiences are assessed for replication.
Keywords:
land-system change
urban-rural integration
pilot-zone learning
composite indicators
comparability screening
contribution-structure decomposition
China
Journal
IF:
3.2
Papers:
1.3W
Citations:
2.5W
Organization
Cited Papers