The Chinese economy has now transitioned from rapid expansion to high-quality growth. The issue of achieving synergy between environmental conservation and economic growth has become a serious concern. Based on the panel data of 120 prefecture-level cities in China from 2008 to 2017, we used the panel threshold regression model to investigate the influences of environmental regulation (ER) and technological innovation (TI) on urban industrial transformation. Further, we examined the threshold characteristics of four types of functional cities—resource-based, industry-oriented, comprehensive regional, and other types of cities. Our results show that ER and TI have varied effects on the industrial transformation of the four categories of functional cities. Both ER and TI have significant nonlinear threshold impacts on industrial transformation in resource-based cities. The inhibitory effect of ER on industrial structure rationalization decreases as the severity of ER increases. There is a shift from the promotion to the restriction of industrial structure rationalization due to TI increase. In contrast, TI strengthens the optimization of industrial structure. The promotion effects of ER and TI on industrial structure optimization improve as the former and latter increase in comprehensive regional cities. The influence of TI on the industrial transformation of industry-oriented cities is consistent with its impact on resource-based cities. These findings provide theoretical guidance and inspiration for urban industrial transformation in response to ER and TI based on their functional roles.

Green development (GD) has become a new model of sustainable development across the world. However, our knowledge of green development efficiency (GDE) in Gansu province is poor. In remedy, this study, based on the panel data of 12 major cities in Gansu from 2010 to 2017, employed the super-efficient Slack-based measure (SBM) to analyze and evaluate GDE from the input–output perspective. Furthermore, we analyzed the input redundancy and output deficiency of identified inefficient cities in 2017 and conducted spatial autocorrelation analysis of GDE of the cities under study. Results show differences in the GDE of the major cities in Gansu, with an average value of 0.985. Green development efficiency in Lanzhou, Qingyang, Jinchang, Jiuquan, and Tianshui was relatively higher than in other cities. Green development efficiency in Zhangye, Wuwei, Jiayuguan, Baiyin, Dingxi, Longnan, and Longnan was less than one due to their redundant labor and capital input and excessive pollutant emission output. The overall GDE in Gansu depicts “high east and low west” zones. Each city in Gansu needs to formulate targeted policies and regulations to improve resource utilization, innovation capacity, reduce pollutant emission, optimize the industrial structure, and promote inter-city cooperation to construct a sustainable green economy.

As the impacts of climate change worsen, the global community prioritizes addressing it and fostering low-carbon societies. Urban planning focuses on creating compact, smart-growth cities that prioritize low-carbon, green development, with resource and environmental capacities as hard constraints. Balancing urban development, environmental protection, and accurate urban boundary delineation is vital for stable growth. In this study, the ecosystem services of Weiyuan County, Gansu Province, were assessed using the InVEST model’s habitat quality and carbon storage modules. Key ecological protection areas with high biodiversity and carbon storage were identified. The CA-Markov model simulated urban expansion, dynamically coordinating ecological and urban development. Weiyuan County’s habitat quality was mainly intermediate. In the county’s central area, construction land coverage was 0.29 km2 in the priority protection zone and 0.49 km2 in the controlled development zone. Urban development boundaries in Weiyuan County were delineated based on ecosystem function rating and CA-Markov delineation. This method enhances urban management in ecologically fragile areas, promoting sustainable development and providing a reference for eco-economic sustainability in other fragile Chinese cities.