Sustainability performance evaluation involving internal resource imbalance: an additive aggregation network DEA...

Area of Science:

• Environmental Science
• Economics
• Public Health

Background:

• Economic growth often leads to environmental pollution, negatively impacting human health and ecosystem carrying capacity.
• The hidden costs of pollution and internal resource imbalance are often overlooked in sustainability performance evaluations.
• Ecosystems have limited capacity to absorb pollutants, leading to increased costs as pollutants spread.

Purpose of the Study:

• To incorporate internal resource imbalance into sustainability performance evaluation for the first time.
• To analyze the interaction among economy, environment, and human health.
• To develop a novel framework and model for assessing sustainability.

Main Methods:

• Constructed a production-treatment-health framework.
• Proposed an internal resource imbalance index.
• Developed an additive aggregation network data envelopment analysis model using semidefinite programming technology.

Main Results:

• Evaluated sustainability performance across 30 Chinese provinces from 2012 to 2017.
• Confirmed the effectiveness of sustainability management strategies.
• Demonstrated success in water pollution purification and water ecological construction.

Conclusions:

• The novel approach effectively integrates internal resource imbalance into sustainability assessment.
• Sustainability management practices show positive outcomes in water resource management and ecological health.
• The study provides a valuable tool for evaluating and improving environmental sustainability.