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<p>In current academic evaluations of land use efficiency, the systemic linkages between land subsystems (such as ecological, construction, and farmland) are often neglected. This oversight results in overlooking the complex interdependencies and associated uncertainties in land use management. To address this critical gap, this study utilizes the network Slacks-Based Measure (SBM) model to assess land use efficiency by integrating the water-energy-food nexus and carbon sinks/emissions with corresponding land subsystems. By applying a panel quantile regression model, GeoDetector model, and Mantel test, the research systematically explores the full-sample, significant, and key driving factors of network land use efficiency (NLUE) from the perspectives of land-use pattern, scale, function, structure, and layout, taking the Central Plains urban agglomeration in China as a case study. The findings from 2000 to 2022 reveal the following: (1) Systemic linkages exist between land subsystems, highlighting the necessity of adopting the network SBM model; (2) Among the 14 driving factors examined, 11 factors (e.g., carbon neutrality degree, total water consumption, energy consumption, and food production) emerge as key driving factors of NLUE; (3) Given the complexity of land use system networks, integrated models prove more effective in understanding the mechanisms influencing NLUE; (4) Based on these model-derived results, more targeted strategies for land use management can be formulated.</p>

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Unveiling the driving mechanisms of the network land use efficiency: a multi-model research

  • 期刊论文

  • 发表日期：

    2025年6月24日

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  • Xiuli Cao,
  • Xiaoshun Li,
  • Yekui Zhou

摘要

In current academic evaluations of land use efficiency, the systemic linkages between land subsystems (such as ecological, construction, and farmland) are often neglected. This oversight results in overlooking the complex interdependencies and associated uncertainties in land use management. To address this critical gap, this study utilizes the network Slacks-Based Measure (SBM) model to assess land use efficiency by integrating the water-energy-food nexus and carbon sinks/emissions with corresponding land subsystems. By applying a panel quantile regression model, GeoDetector model, and Mantel test, the research systematically explores the full-sample, significant, and key driving factors of network land use efficiency (NLUE) from the perspectives of land-use pattern, scale, function, structure, and layout, taking the Central Plains urban agglomeration in China as a case study. The findings from 2000 to 2022 reveal the following: (1) Systemic linkages exist between land subsystems, highlighting the necessity of adopting the network SBM model; (2) Among the 14 driving factors examined, 11 factors (e.g., carbon neutrality degree, total water consumption, energy consumption, and food production) emerge as key driving factors of NLUE; (3) Given the complexity of land use system networks, integrated models prove more effective in understanding the mechanisms influencing NLUE; (4) Based on these model-derived results, more targeted strategies for land use management can be formulated.