Academic Journal of Environment & Earth Science, 2026, 8(1); doi: 10.25236/AJEE.2026.080102.
Shuwen He1, Xiaodan Luo2
1School of Mathematics, Physics and Statistics, Sichuan Minzu College, Kangding, 626001, China
2School of Economics and Management, Sichuan Minzu College, Kangding, 626001, China
Ganzi Prefecture in Sichuan Province is not only an important ecological barrier in the upper reaches of the Yangtze River, but also a core ecological area on the eastern edge of the Qinghai-Tibet Plateau. Its ecological civilization construction plays a very important role in promoting the implementation of national ecological security strategies and the high-quality development of ethnic minority areas in western Sichuan.To provide theoretical reference and contribute to the optimization of the ecological audit system in ethnic regions, this article constructs a quantitative analysis framework for empowering ecological governance in Ganzi Prefecture through environmental audit by introducing three types of quantitative tools: Spatial Error Model (SEM), Data Envelopment Analysis Model (DEA), and Difference in Differences Model (DID). The framework analyzes the mechanism from three dimensions: ecological risk identification, financial benefit evaluation, and policy effectiveness verification. It not only overcomes the shortcomings of traditional environmental audit, which mainly relies on qualitative analysis and lacks quantitative support for effectiveness evaluation, but also proposes a series of targeted implementation paths based on the ecological characteristics of Ganzi Prefecture's plateau and the difficulties of audit practice.
Environmental Audit; Ganzi Prefecture; Ecological Civilization Construction; Mechanism of Action; Implementation Paths
Shuwen He, Xiaodan Luo. Quantitative Analysis on the Mechanism of Environmental Audit Promoting Ecological Civilization Construction in Ganzi Prefecture. Academic Journal of Environment & Earth Science (2026), Vol. 8, Issue 1: 12-17. https://doi.org/10.25236/AJEE.2026.080102.
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