In view of the coordination of economy, society, and environment in the process of the rapid development of the regional economy, this study proposes the evaluation method of sustainable development of a regional economy on the basis of emergy. The study also constructed an evaluation index system of sustainable development of regional ecological economy from four aspects, namely, structural, functional, and ecological efficiency, and sustainable development index. The objective was to comprehensively evaluate the quality and environmental friendliness of regional economic development. On this basis, this study measured and evaluated the sustainable development of the ecological economy in Anhui Province by using emergy to analyze the statistical data of the economic development of Anhui Province, China, from 2010 to 2018. The study also provides targeted decision-making suggestions for the sustainable and high-quality development of the Anhui economy. Furthermore, this study provides a measure and evaluation method for the sustainable development of the regional economy and effective policy recommendations, which have important theoretical and practical significance.

Improving industrial ecological efficiency is important in promoting the industry’s sustainable development. However, the economy, resources, the environment, and other factors should be considered. This paper proposes a data-driven evaluation and promotion method for improving industrial ecological efficiency. Based on industrial input and output data, the super-efficiency slack-based model containing an unexpected output was used to measure industrial ecological efficiency. The kernel density estimation method was employed to analyze the time-series characteristics of industrial ecological efficiency. Using data from 30 provinces and cities in China, this study demonstrated the implementation of a data-driven method. The results show that China’s overall industrial ecological efficiency is increasing, and industrial ecological efficiency in the western region is rapidly improving. Differences exist between provinces and cities; the characteristics of polarization are significant, and there are short boards in the eastern, central, and western regions. Based on this, suggestions are made to improve the industrial ecological efficiency of the central region, narrow the gaps between the regions, and promote each region to develop its strengths and mitigate its weaknesses. This provides a basis for formulating policies related to ecological environment protection and industrial pollution control.

Green development is an important connotation of high-quality development and is one of the goals of scientific and technological innovation. This study constructs a data-driven measurement model of the green development efficiency of regional sci-tech finance, measures the green development efficiency of sci-tech finance by using the super-slack-based measure model, and deeply analyses and evaluates the changes in green development efficiency of regional sci-tech finance by calculating Malmquist index. This study calculates the green development efficiency of sci-tech finance in the Yangtze River Delta. Results show that the green development efficiency of sci-tech finance in the Yangtze River Delta is on the rise as a whole and maintains an efficient state, but differences are observed between provinces and cities. This study provides theoretical and methodological support for the evaluation of the green development efficiency of regional sci-tech finance and serves as reference for policy makers and researchers of sci-tech finance.