To address the challenges associated with a low per capita GDP, employment rates, environmental quality indicators, and sustainable development metrics, alternative approaches are required; a new research method for high-quality sustainable development measures for social economy and environment has been proposed. Using principal component analysis to evaluate the level of social-economic and environmental development, and determine the coupling coordination between social-economic and environmental factors. Targeted measures for high-quality sustainable development aspects have been proposed based on the degree of coupling and coordination, including the formulation of scientific and reasonable plans, strengthening technological innovation, improving policy and regulatory systems, and enhancing international cooperation and exchanges. Case analysis results show that the per capita GDP in the study area varies between 108,000 yuan and 117,000 yuan, the maximum employment rate is 84%, the maximum environmental quality index is 0.83, and the sustainable development index varies between 0.68 and 0.91.
Na Wang (Thu,) studied this question.