Excessive consumption of traditional fossil energy has led to more serious global air pollution. This article incorporates renewable energy green innovation (REGI), fossil energy consumption (FEC), and air pollution into a unified analysis framework. Using China’s provincial panel data, a spatial measurement model was used to investigate the spatial effects of renewable energy green innovation and fossil energy consumption on air pollution in China from 2011 to 2017. The global Moran index shows that over time, the spatial correlation of air pollution has gradually weakened, while the global correlation of renewable energy green innovation and fossil energy consumption is increasing year by year. ArcGIS visualization and partial Moran index show that air pollution, renewable energy green innovation, and fossil energy consumption are extremely uneven in geographic space. The spatial distribution of air pollution, renewable energy green innovations, and fossil energy consumption are all characterized by high in the east and low in the west and they all show a strong spatial aggregation. Applying the spatial adjacency matrix to the spatial Durbin model gave the results that China’s air pollution has a significant spatial spillover effect. Replacing fossil fuels with clean renewable energy will reduce air pollutant emissions. The Environment Kuznets Curve (EKC) hypothesis has not been supported and verified in China. The partial differential method test found that the spatial spillover benefits can be decomposed into direct effects and indirect effects. The direct and indirect effects of renewable energy green innovation on air pollution are both significantly negative, indicating that green innovation of renewable energy not only inhibits local air pollution, but also inhibits air pollution in nearby areas. The consumption of fossil energy will significantly increase the local air pollution, while the impact of sulfur dioxide (SO₂) and soot (DS) pollution in nearby areas is not obvious. It is recommended to increase investment in renewable energy green innovation, reduce the proportion of traditional fossil energy consumption, and pay attention to the spatial connection and overflow of renewable energy green innovation and air pollution.

With increasingly stringent environmental regulations and the growing demand for green consumption, firms have become progressively aware of the critical importance of green supply chain management (GSCM). Although existing studies have partially explored the relationship between GSCM and enterprise sustainability performance, empirical research from the perspectives of network embeddedness and resource orchestration remains relatively limited. To address this gap, grounded in network embeddedness theory and resource orchestration theory, this study selects Chinese A-share listed companies in Shanghai and Shenzhen that implemented GSCM from 2012 to 2022 as the sample to empirically examine the relationships among green supply chain network embeddedness, resource orchestration capability, and sustainability performance. The findings reveal that structural embeddedness of green supply chain networks exhibits an inverted U-shaped relationship with sustainability performance, whereas relational embeddedness exerts a positive impact. Additionally, green resource absorption capacity and green resource allocation capability mediate the relationship between green supply chain network embeddedness and sustainability performance. The influence of structural embeddedness on sustainability performance is particularly pronounced in heavily polluting industries and large enterprises, while the positive effects of relational embeddedness are more evident in non-polluting industries and small enterprises. This study broadens the theoretical perspectives in the fields of supply chain management and sustainability, offering theoretical support for firms to optimize GSCM practices and achieve sustainable development.

Initiated in 2009, the National E-commerce Demonstration City (NEDC) policy is a strategic initiative by the Chinese government. Its purpose is to boost e-commerce growth and drive economic transformation. Over time, this program has expanded, serving as a catalyst for technological innovation, resource integration, and the progression of the digital economy. Given this backdrop, how should enterprises seize the development opportunities offered by the NEDC policy to promote digital transformation? Applying a multi-period difference-in-differences (DID) model and utilizing data from publicly listed companies on the Shanghai and Shenzhen stock exchanges from 2009 to 2019, we empirically examine the mechanism by which the NEDC policy influences enterprise digital transformation (EDT). The results reveal that the NEDC policy significantly promotes EDT and passes a series of robustness tests. Heterogeneity analysis reveals varied impacts on EDT, particularly in high technology-density, low talent-density industries, central cities, and downstream enterprises in the industrial chain. Further research suggests that the policy stimulates EDT by fostering transformation and upgrading in regional industrial structures, as well as by coordinating the industrial chain.

Online reviews often contain considerable information redundancy. Understanding how to mine and identify valuable information is an important research topic. Based on knowledge-based theory and social network theory, this study discusses the impact of knowledge redundancy in online travel reviews on consumer purchase behaviour from the perspective of knowledge networks. By crawling 943,516 online reviews of 609 tourism products from Trip and Tuniu, we conduct an empirical analysis of the relationships among knowledge redundancy, knowledge diversity and consumer purchase behaviour. The results show that there is a U-shaped relationship between knowledge redundancy in online tourism reviews and consumer purchase behaviour, and knowledge diversity plays an intermediary role in the relationship between knowledge redundancy and consumer purchase behaviour. The results provide valuable and timely insights for the development of the online tourism industry.

This research aims to grasp the evolution of consumer demand and improve the resilience of the hotel industry under the public health crisis (COVID-19). Online reviews of 7,679 hotels in 10 cities were collected from Ctrip, China’s major online hotel platform. Then, we applied opinion mining and time evolution to mine the change in consumer demand before, during, and after the COVID-19 pandemic. Findings show that some consumer demands (e.g. epidemic safety) will change during the outbreak period. However, during the nonoutbreak period, users were more concerned about their own check-in experience (e.g. hotel facilities, front desk services). This article provides new ideas for identifying the dynamic value of online reviews. We suggest that businesses focus on ensuring hotel safety during the crisis period. The results contribute essential theoretical and practical significance to the hotel industry’s crisis management during public health crises.

Online shopping has become an important part of people’s life, but the current academic circles still lack attention to online shopping service recovery. Based on the online shopping service recovery scenario, this study takes the scenario experiment as the research method, discusses the influence mechanism of consumer continuous trust from the perspective of compensation and consumer forgiveness, and tests the moderating effect of online store reputation. Through empirical research, this paper obtains the following research findings: Both utilitarian compensation and spiritual compensation have a positive impact on consumer forgiveness, but spiritual compensation has a greater positive impact on consumer forgiveness; consumer forgiveness has a positive impact on consumer continuous trust, and consumer forgiveness plays a mediating effect between utilitarian compensation, spiritual compensation and consumer continuous trust; online store reputation plays a positive moderating effect in the impact of consumer forgiveness on consumer continuous trust. The research results of this paper are conducive to deepen the research on the relationship between compensation methods and consumer forgiveness, better explain the role of consumer forgiveness, consumer continuous trust and online store reputation in the impact mechanism of online shopping service recovery, and promote the healthy development of online shopping business model.