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Emergy-based ecological efficiency evaluation and optimization method for logistics park.

Cui Wang1,2, Cuixia Zhang3, Fagang Hu1

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This summary is machine-generated.

This study introduces an emergy-based method to evaluate and optimize logistics park ecological efficiency for sustainable development. Key factors like fuel oil, net profit, and waste gas significantly impact ecological efficiency.

Keywords:
Ecological efficiencyEmergyEvaluationLogistics parkOptimization

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Area of Science:

  • Environmental Science
  • Logistics Management
  • Ecological Economics

Background:

  • The rapid expansion of logistics parks necessitates methods for evaluating and optimizing their ecological efficiency.
  • Achieving sustainable development in logistics operations is a growing academic concern.

Purpose of the Study:

  • To develop and apply an emergy-based method for quantitatively evaluating logistics park ecological efficiency.
  • To identify key factors influencing ecological efficiency and provide optimization strategies.

Main Methods:

  • Construction of an ecological efficiency evaluation model for logistics parks.
  • Utilization of emergy as a unified dimension for data processing.
  • Quantitative analysis of the correlation between various factors and ecological efficiency.

Main Results:

  • The emergy-based model was applied to H logistics park.
  • Fuel oil (0.8248), information technology (-0.6949), net profit (0.8544), and waste gas (0.7661) showed strong correlations with ecological efficiency.
  • Identification of specific factors influencing the ecological performance of logistics parks.

Conclusions:

  • The emergy-based approach provides a robust framework for assessing logistics park ecological efficiency.
  • Understanding factor correlations enables targeted strategies for sustainable logistics park development.
  • The study offers theoretical and methodological support for optimizing ecological efficiency in logistics parks.