Collaborative performance of CCER project concerning uncertain industrial benchmark and average sector reference...

Area of Science:

• Environmental Economics
• Climate Policy
• Sustainable Development

Background:

• Chinese Certified Emission Reduction (CCER) projects are crucial for achieving national "dual carbon" targets.
• Project performance is significantly affected by external reference points like industrial benchmarks and sector averages, as explained by prospect theory.

Purpose of the Study:

• To propose a novel method for assessing the perceived collaborative performance of CCER projects using dual grey reference points.
• To explore competitive perception performance (CPP) and industry performance increment (IPI) relative to external benchmarks.

Main Methods:

• Developed a novel method to assess perceived collaborative performance using dual grey reference points.
• Proposed an aggregation method for data standardization to calculate comprehensive CCER project performance.
• Analyzed four scenarios with associated probabilities based on performance comparisons to reference points.

Main Results:

• The proposed method effectively assesses perceived collaborative performance, considering both industrial benchmarks and average sector levels.
• Calculated comprehensive performance through data standardization and identified CPP and IPI.
• A numerical case study validated the feasibility and effectiveness of the assessment method.

Conclusions:

• The study provides a robust framework for evaluating CCER project performance under uncertainty.
• Offers policy implications for CCER participants to select KPIs, innovation strategies, and benchmarks.
• Enhances understanding of how external reference levels influence perceived project performance and contributes to mitigating information uncertainty.