In order to explore how to achieve the coordinated development of the economy and environment, this paper uses the logistic model to verify that the city economy and the environment can achieve coordinated symbiosis. Next, an evaluation index system was used as empirical testing in order to measure the performance of the economy and environment. Further, the degree of coupling and coordination between them was obtained, and an econometric model was used to find the factors that affect the coordination and symbiosis between them. Finally, the following conclusions were obtained: (1) Resource-based cities of different development types do not show obvious differences in environmental carrying capacity and are basically at a medium carrying capacity level. (2) The level of the economic strength of resource-based cities is constantly improving, although with short-term fluctuations but with a general pace of improvement. (3) The synergy between economy and environment in resource-based cities is not high that the environment lags behind obviously. (4) The factors affecting the coordinated development of the environment and economy of resource-based cities are the annual average population and industrial wastewater discharge, which are contributing to the coordinated development of the economy and environment in resource-based cities. At the same time, the proportion of secondary industry in GDP, investment in fixed assets, and comprehensive utilization rate of general industrial solid waste inhibit the coordinated development of the economy and environment in resource-based cities. Based on the above conclusions, the paper puts forward relevant countermeasures and suggestions.

Improving innovation efficiency is of great significance to the sustainable development of the pharmaceutical manufacturing industry as well as the regional economy. To measure the efficiency of the innovation process from the perspective of the ecosystem, a model, including three head-to-tail stages, namely the innovative production process, innovative integration process, and innovative application process, is established. The DEA-Malmquist index is used to evaluate the static and dynamic innovation efficiency of the Chinese pharmaceutical manufacturing industry from 2009 to 2020. The results show that the overall innovation efficiency of the pharmaceutical manufacturing industry fluctuated, and the industry has not yet achieved steady growth in innovation efficiency during 2009–2020. Cross-sectional data comparisons found that there are significant differences in innovation efficiency among provinces. To improve the innovation efficiency of the Chinese pharmaceutical manufacturing industry, several suggestions are proposed, such as improving the technical efficiency, improving the efficiency of the whole process in innovative ways, and bridging the gap in innovation efficiency across regions.

In the context of the nationwide call for “energy savings” in China, it is desirable to establish a more accurate forecasting model to manage the electricity consumption from the university dormitory, to provide a suitable management approach, and eventually, to achieve the “green campus” policy. This paper applies the empirical mode decomposition (EMD) method and the quantum genetic algorithm (QGA) hybridizing with the support vector regression (SVR) model to forecast the daily electricity consumption. Among the decomposed intrinsic mode functions (IMFs), define three meaningful items: item A contains the terms but the residual term; item B contains the terms but without the top two IMFs (with high randomness); and item C contains the terms without the first two IMFs and the residual term, where the first two terms imply the first two high-frequency part of the electricity consumption data, and the residual term is the low-frequency part. These three items are separately modeled by the employed SVR-QGA model, and the final forecasting values would be computed as A + B − C. Therefore, this paper proposes an effective electricity consumption forecasting model, namely EMD-SVR-QGA model, with these three items to forecast the electricity consumption of a university dormitory, China. The forecasting results indicate that the proposed model outperforms other compared models.

Environmental regulatory policies are crucial to the high-quality development of China’s economy. Can central environmental protection inspection, another major innovation in China’s environmental regulation policy, significantly contribute to high-quality economic development? To address this question, this paper is the first time to intensely discuss the relationship between central environmental protection supervision and the high-quality development of China’s urban economy. The research level is expanded from the previous micro-enterprise level to the macro level. Starting from the city, the main body of green innovation, and using the propensity score matching and difference-in-differences methods, we test the impact of central environmental protection inspection on high-quality economic development. A preassessment at the regional level reveals that the green total factor productivity of the inspected cities is significantly higher than that of the non-inspected cities, and parallel-trend tests and placebo tests also support the result. Subsequently, the persistence of the policy impact is further analyzed, and the results show a significant impact only in the year of policy implementation. Finally, the heterogeneity analysis shows that central environmental protection inspection can significantly promote high-quality economic development in cities in the eastern region, but has a significant inhibitory effect on the western region.