Study on the Early Warning Mechanism for Industrial Land Redevelopment in High-Tech Zones: A Multi-Dimensional Evaluation Based on Enterprise Life Cycle, Park Compatibility, and Land Use Efficiency

In the era of new productive forces, the efficient utilization of industrial land in high-tech zones is critical for fostering technological innovation, intelligent manufacturing, and green development. However, constrained by limited land reserves, inefficient stock utilization, and sluggish industrial upgrading, high-tech zones must establish a scientific early warning mechanism for industrial land redevelopment. This study constructs a four-tier early warning system (normal, alert, warning, and response) based on three key dimensions: enterprise life cycle, enterprise–park compatibility, and industrial land use efficiency. Using the Jinan High-Tech Zone as a case study, this study conducts an empirical analysis of 360 industrial land parcels from 2020 to 2022, employing DEA, fixed effects models, GIS visualization, and MCDA methods. The results indicate a strong correlation between enterprise life cycle and land use efficiency, with significant spatial differentiation in enterprise–park compatibility. Efficient land use is concentrated in areas with well-defined functions and high industrial agglomeration. This study identifies 360 land use scenarios, with 12% classified as normal, 28% requiring monitoring, 52% requiring optimization, and 8% necessitating redevelopment. Based on these findings, a “warning–monitoring–regulation” closed-loop management model is proposed, providing decision-making support for dynamic land optimization and sustainable development in high-tech zones.

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Publication Details

Journal
Sustainability
Published
2025-05-08
DOI
https://doi.org/10.3390/su17104256
Citations
1
Primary Topic
Regional Development and Environment
Type
article
Field-Weighted Citation Impact
4.20

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article

Study on the Early Warning Mechanism for Industrial Land Redevelopment in High-Tech Zones: A Multi-Dimensional Evaluation Based on Enterprise Life Cycle, Park Compatibility, and Land Use Efficiency

Likuan Dong, Hao Li, Zhanlu Zhang, Zhiwen Tan
1 citations
Sustainability
Regional Development and Environment
4.20
article

Study on the Early Warning Mechanism for Industrial Land Redevelopment in High-Tech Zones: A Multi-Dimensional Evaluation Based on Enterprise Life Cycle, Park Compatibility, and Land Use Efficiency

Likuan Dong, Hao Li, Zhanlu Zhang, Zhiwen Tan
article en
1 citations

Abstract

In the era of new productive forces, the efficient utilization of industrial land in high-tech zones is critical for fostering technological innovation, intelligent manufacturing, and green development. However, constrained by limited land reserves, inefficient stock utilization, and sluggish industrial upgrading, high-tech zones must establish a scientific early warning mechanism for industrial land redevelopment. This study constructs a four-tier early warning system (normal, alert, warning, and response) based on three key dimensions: enterprise life cycle, enterprise–park compatibility, and industrial land use efficiency. Using the Jinan High-Tech Zone as a case study, this study conducts an empirical analysis of 360 industrial land parcels from 2020 to 2022, employing DEA, fixed effects models, GIS visualization, and MCDA methods. The results indicate a strong correlation between enterprise life cycle and land use efficiency, with significant spatial differentiation in enterprise–park compatibility. Efficient land use is concentrated in areas with well-defined functions and high industrial agglomeration. This study identifies 360 land use scenarios, with 12% classified as normal, 28% requiring monitoring, 52% requiring optimization, and 8% necessitating redevelopment. Based on these findings, a “warning–monitoring–regulation” closed-loop management model is proposed, providing decision-making support for dynamic land optimization and sustainable development in high-tech zones.

SustainabilityVol. 17(10)
Tianjin University of Commerce (CN), Renmin University of China (CN)
National Natural Science Foundation of China, Renmin University of China, National Social Science Fund of China
Openalex Percentile: Top 8%
Regional Development and Environment
4.20
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Study on the Early Warning Mechanism for Industrial Land Redevelopment in High-Tech Zones: A Multi-Dimensional Evaluation Based on Enterprise Life Cycle, Park Compatibility, and Land Use Efficiency — Likuan Dong, Hao Li, et al. · Sustainability (2025) | TGRS Research Map | TGRS