Define, process and describe the intersectoral embedded carbon flow network in China.

Area of Science:

• Environmental Science
• Economics
• Network Analysis

Background:

• China's complex economic-energy-environment system presents challenges for carbon reduction.
• Understanding intersectoral carbon flows is crucial for effective environmental policy.

Purpose of the Study:

• To define and analyze the intersectoral embedded carbon flow network in China.
• To develop a systematic methodology for mapping and understanding carbon emissions within economic systems.

Main Methods:

• Combines life cycle assessment (LCA) and social network analysis (SNA) within an input-output framework.
• Utilizes longitudinal input-output data to construct and analyze dynamic network matrices.
• Employs network visualization, triad census, cohesion, position, and core-periphery modeling.

Main Results:

• A novel intersectoral embedded carbon flow network matrix was constructed, providing a clear map of CO2 emissions.
• The evolution of China's economic-energy-environment system was mapped using SNA on longitudinal network data.
• The study identified key network structures and dynamics influencing carbon intensity.

Conclusions:

• The proposed methodologies offer a systematic approach to carbon reduction strategies in China.
• The network analysis aids policymakers in rationally prioritizing carbon reduction policies.
• This framework enhances the investigation of human-derived CO2 emissions within complex economic systems.