With the rapid advancement of battery technology and the demand for environmental sustainability, new energy vehicles (NEVs) are becoming more and more popular. This research paper delves into the impact of marketing strategies employed by new energy vehicle companies on consumers’ purchase intentions. This paper begins by highlighting the unique benefits of NEVs, such as energy efficiency, environmental friendliness, and improved driving experience. Then, this research identifies gaps in existing research, particularly the lack of micro-market demand data and systematic empirical analyses of consumer purchase intentions for NEVs. The paper employs a quantitative analysis approach grounded in marketing theory to address these gaps and examine the relationship between NEV companies’ marketing strategies and consumers’ purchase intentions. The research design involves a questionnaire survey based on the 4C marketing theory, focusing on consumer demand, cost, communication, and convenience. The survey targets potential NEV buyers and car owners, and 247 valid responses were analyzed. The results reveal that various factors, including the price and environmental performance of NEVs, non-fiscal policies, vehicle performance, and consumer attributes such as education level and environmental awareness, influence consumers’ willingness to purchase NEVs. This study also employs structural equation modeling to explore the correlations between different issues and identifies three main factors: basic car needs, new energy needs, and consumer subjective perception. Lastly, the study concludes that while NEV companies have made significant strides in marketing strategies, there is still room for improvement. We suggest that companies should offer competitive pricing, enhance vehicle performance, and address consumer concerns to boost purchase intentions.

Smart city construction is crucial for regional economic development, and the micro-level impact of such construction on business operations cannot be ignored. Based on the panel data of Shanghai and Shenzhen A-share listed companies from 2008 to 2020, this paper investigates the relationship between smart city construction and firm performance and its mechanism of action. The study findings show that (1) smart city construction significantly improves enterprise performance; (2) the improvements are significant across all industries and regions; and (3) the impact of smart city construction on small and medium-sized enterprises (SMEs) and nonstate enterprises is more significant than that on large enterprises and state-owned enterprises. These findings provide a theoretical framework and fresh perspectives for encouraging coordinated regional development and new urbanization construction.

With the development of sustainable cities, densely populated higher education institutions increasingly emphasize the sustainability of campuses and their impact on the environment. However, there is a lack of means to quantify emission reduction measures. This study aims to propose an evaluation framework that can quantify energy conservation and emission reduction measures and incentive policies. To this end, this study adopts a mixed methods approach, using questionnaires to assess the effectiveness of management and communication interventions and the impact of incentives on residents’ willingness to participate in emission reduction efforts. The survey results show that although the support for the intervention measures is slightly higher than the average, specific measures such as adjusting dormitory lights-out time and providing sports equipment show superior emission reduction potential. Universities could reduce carbon emissions by about 560 tons per year without incentives and just using interventions. However, when incentives and interventions are combined, the university’s annual emissions reductions are expected to increase to 800 to 1045 tons. Research also highlights the importance of understanding the relationship between occupant behavior, energy consumption, and building carbon emissions. By quantifying the impact of carbon reduction measures and incentives on the daily behaviors of residents, universities can more effectively implement sustainable campus strategies.