Rong Huang

Environmental performance is extremely vital for sustainable growth in China, and the impact of a regional integration policy plays an important role in improving environmental performance. However, current studies are weak in causal inference, and firm-level evidence is lacking. As a result, taking the Outline of the Pearl River Delta Reform and Development Plan as a quasi-natural experiment, with propensity score matching and difference-in-differences methods, this paper investigates the effect of regional integration on firms’ environmental performance. Our empirical results show that regional integration can significantly improve corporate environmental performance; specifically, the regional integration will result in an increase in the output value, of 46.7%, 22.3%, and 68.1% per unit emission of sulfur dioxide (SO₂), industrial wastewater (WATER), and industrial smoke and dust (SD). Moreover, the impact of regional integration differs across different industries. For SO₂, the impact of regional integration is greater for the petroleum processing, coking and nuclear fuel processing industries, and special equipment manufacturing; in terms of WATER, the impact is much higher in the tobacco products industry and printing and the reproduction of recording media industry; for SD, the petroleum processing, coking, and nuclear fuel processing industries are highly impacted. Finally, this impact also differs for core and peripheral cities. For policy implications, first, regional integration policies are highly recommended, and China is implementing regional integration in the Beijing–Tianjin–Hebei area and Yangtze River Delta, and these policies should be enhanced for other areas. Second, to maximize the effect of regional integration, the government needs to combine regional industrial structural characteristics to formulate industrial and environmental policies.

In the context of the Internet of Things, user privacy leads to the lack of information security and the obscuration of traditional privacy concepts. Therefore, how to ensure information security and protect user privacy is a key issue that enterprises must solve in the process of using the Internet of Things technology. At present, the research on corporate employees protection of user privacy in the context of the Internet of Things is mostly focused on the technical level, while the legal and management levels are relatively lacking. Based on the definition of the corporate concept in the context of the Internet of Things, this paper uses management and psychology as the research perspective, and based on theory of persuasion, adjustment orientation theory, and reinforcement theory, it discusses the attitudes of corporate employees to protect user privacy in the context of the Internet of Things and behaviour mechanism, constructing a new theoretical model. This experiment uses 0.001 as the step size to change the corresponding threshold size. The interval range is [0.001, 10], and there are a total of 10,000 points in the interval, which is equivalent to 100 million sensor attack tests. According to the above method, 10,000 points of the ROC curve can be obtained by using 10,000 thresholds, and the corresponding ROC curve can be drawn in the coordinate graph, which can intuitively reflect the performance of the VRADS vehicle anomaly real-time detection system. The challenge of data information protection is analyzed, trying to clarify the ideas for the protection of personal data and information in the Internet of Things environment and even lead to employees rebellious psychology. This article proves that the pertinence and effectiveness of the persuasive content have a positive impact on employees attitudes towards privacy protection, and it has been further deepened in the context of the Internet of Things. The balance point is to leave enough room for the long-term sustainable development of the Internet of Things industry on the basis of protecting the personal rights and interests of users.