The resource and environmental constraints on China’s economic development have become more prominent; thus there is an urgent need for enterprises to achieve green innovation transformation to promote high-quality economic development. We obtained data on 655 on Chinese A-share companies listed on the Shanghai and Shenzhen Stock Exchanges from 2010 to 2020, a total of 7205 samples, and explored the influencing mechanism of environmental regulation on corporate green innovation and the moderating mechanism of CSR disclosure by constructing a nonlinear fixed-effect regression model. The results showed: (1) the overall level of green innovation of listed companies is low, and the relationship between environmental regulation and enterprise green innovation presents the U-shaped characteristic of changing from cost effect to innovation compensation effect; (2) non-state-owned enterprises have less tolerance and more sensitive response to environmental regulation than state-owned enterprises; (3) social responsibility information disclosure has a positive regulatory effect on environmental regulation and enterprise green innovation, and non-state-owned enterprises are more significant. It provides references for the government to adjust the intensity of environmental regulation, and, meanwhile, for enterprises to improve the level of environmental protection and the CSR disclosure, and enhance the green innovation ability of enterprises in emerging market.

This study delved into the intricate ways in which host-guest interaction influences tourist citizenship behavior (TCB), focusing specifically on two key dimensions: interaction quantity and interaction quality. By drawing on social exchange theory and cognitive appraisal theory, we constructed an integrated model that illustrates the relationship between host-guest interaction and TCB, with experiential value and place attachment serving as mediating factors. Our data were gathered from 499 visitors to Mount Taishan national forest park, and the analysis was conducted using Spss and Amos software. The results revealed that the quality of host-guest interaction has a significant and positive influence on tourists’ overall experiential value, which in turn fosters TCB. Additionally, the evaluation of experiential value triggers a deeper sense of place attachment among tourists towards the destination, further encouraging TCB. The quantity of host-guest interaction did not exert a significant influence on tourist citizenship behavior. These findings offer practical insights for destinations seeking to enhance their competitiveness and sustainability by optimizing host-guest interactions.

This study explores the influence of host–guest interaction on tourists’ pro-environment behavior. On the one hand, the experience attribute of host–guest interaction’s influence on tourists’ experiential value is sorted out. On the other hand, the relationship attribute of host–guest interaction’s activation effect on tourists’ personal norms is identified. Based on social exchange theory and normative activation theory, a structural equation model was established to depict the transmission mechanism from host–guest interaction to tourists’ pro-environment behavior. The data were collected from tourists in Taishan National Forest Park (n = 499). The results indicated that host–guest interaction quality activated tourists’ personal norms through consequence awareness, thus promoting tourists’ pro-environment behavior. Meanwhile, the quality of host–guest interaction positively influenced tourists’ pro-environment behavior through emotional experience value. Host–guest interaction quantity promoted tourists’ pro-environment behavior by activating personal norms through responsibility ascription. In addition, although frequent host–guest interactions can enhance the social experience and functional experience value of tourists, the latter two cannot stimulate tourists’ pro-environmental behavior. This study provides practical implications for promoting the sustainable development of national forest parks.

Corporate social responsibility (CSR) disclosure serves as a vital bridge for forestry firms to communicate with their stakeholders and obtain legitimacy support. Existing studies focus on forestry firms’ CSR disclosures based on CSR reports but lack consideration of such disclosures on social media. In this study, based on WeChat, the most widely used social media platform in China, we obtained 3311 tweets from 36 WeChat Official Accounts (WOA) of 63 Chinese-listed forestry firms in 2018 and used content analysis to classify the CSR information involved in these tweets based on the stakeholder dimensions. The main analysis results show that the top three CSR dimensions disclosed by Chinese forestry firms in social media are the shareholder (28.21%), customer (26.20%), and employee (23.64%) dimensions, and there are also great differences in the subcontent of disclosure concerns in each stakeholder dimension, e.g., approximately 86% of CSR disclosures for customers are product and service information. Additionally, we conducted a content analysis on the CSR reports of forestry firms using WOA. The results show that firms express different concerns in CSR reports than on social media, and the most mentioned dimensions in their reports are the environment (23.69%), employees (20.91%), and shareholders (20.21%). This indicates that there is a significant difference between the stakeholders that Chinese forestry firms focus on in social media and those that they focus on in CSR reports. This paper is the first study to focus on the CSR disclosure of Chinese forestry firms in social media and provides a reference for scholars to understand the information activities of forestry firms in social media.

Understanding how managers perceive risks in the decision-making process of corporate social responsibility (CSR) disclosure is vital, especially in sectors with high social and environmental demands on sustainability. The main aim of this study was to explore the impact of managerial risk perceptions and influencing factors on CSR disclosure in the forestry sector of China and to improve the sustainable development of forestry. Utilizing survey data of 214 managers from Chinese forestry enterprises, we analyzed how manager backgrounds, including six variables (gender, age, education level, degree major, number of years working as a manager, and work experience) related to the managers’ risk perceptions of CSR disclosure via a two-stage model. The analyses of the two-stage model revealed that the influence factors differ in the two stages of risk perception. According to our results, influencing factors were not the same at various stages of the CSR reporting process. This requires decision makers to take practical driving factors into account and select managers with different characteristics to carry out the CSR disclosure of forestry enterprises.