A Dynamic Benchmark System for Per Capita Carbon Emissions in Low-Carbon Counties of China

As the most basic unit of national economy and administrative management, low-carbon transformation vast counties is great significance to China’s overall greenhouse gas emission reduction. Although evaluation (LCE) indicator system benchmarks have been extensively studied, ignore needs evaluated object at development stage. When local develops a certain level, it may be restricted by static target constraints. This study reviews relevant research on LCE based convergence. The Environmental Kuznets Curve (EKC), dynamic benchmark for per capita carbon emissions (PCCEs), proposed counties. Taking Changxing County, Zhejiang Province, China as an example, PCCEs was established benchmarking Carbon (CKC) best practices. Based principles practice, comparability, data completeness, CKC hypothesis acceptance, practice database screened, Singapore selected potential benchmark. By constructing econometric model conduct empirical Singapore’s hypothesis, regression results least squares method support its rationality result PCCE County show that when income in 2025, 2030, 2035 reaches USD 19,172.92, 24,483.01, 29,366.11, respectively, corresponding should 14.95 tons CO2/person, 14.70 13.55 CO2/person. For every 1% increase county’s income, allowable room growth 17.6453%. turning point gross domestic product (PCGDP) 20,843.23 15.03 which will occur between 2025 2030. Prior this, increases with PCGDP. After that, decreases economically sensitive, adaptable different stages, enriches methodology setting county scale. It can provide scientific basis Chinese decision makers formulate reasonable targets under management idea driven indicators reduction help explore coordinated paths economic stages. has reference other developing regions facing similar challenges targets.