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Introduction: Government-business relations are a concentrated manifestation of the interaction process and outcomes between the government and enterprises, directly influencing the social capital and institutional environment upon which businesses rely. Sound government-business relations are crucial for addressing environmental issues and promoting high-quality development in China. Methods: This study extensively examines how New Government-business Relations (NGR) impact Corporate Environmental Performance (CEP) by analyzing A-share listed companies from 2017 to 2021 and applying the regulatory capture theory. Results: The empirical findings show that NGR can prevent environmental regulatory capture, thereby improving CEP. After conducting several robustness tests, such as substituting the dependent variable, using instrumental variables, and performing dynamic panel analysis, the results remain consistent. Additionally, the mechanism analysis reveals that NGR can effectively thwart environmental regulatory capture resulting from rent-seeking behavior and political connections, leading to enhanced CEP. Moreover, additional research indicates that the beneficial impact of the NGR on the environmental performance of non-high-pollution industry enterprises, mature enterprises, and businesses operating in regions with stringent environmental regulations is more significant. Discussion: Building on prior literature, this paper augments the body of relevant research on environmental regulatory capture within the Chinese context, offering fresh insights and empirical evidence to comprehend the evolving government-business relations in contemporary times and their significance in environmental conservation. [ABSTRACT FROM AUTHOR]

Human–object interaction (HOI) detection, which localises and recognises interactions between human and object, requires high‐level image and scene understanding. Recent methods for HOI detection typically utilise transformer‐based architecture to build unified future representation. However, these methods use random initial queries to predict interactive human–object pairs, leading to a lack of prior knowledge. Furthermore, most methods provide unified features to forecast interactions using conventional decoder structures, but they lack the ability to build efficient multi‐task representations. To address these problems, we propose a novel two‐stage HOI detector called PGCD, mainly consisting of prompt guidance query and cascaded constraint decoders. Firstly, the authors propose a novel prompt guidance query generation module (PGQ) to introduce the guidance‐semantic features. In PGQ, the authors build visual‐semantic transfer to obtain fuller semantic representations. In addition, a cascaded constraint decoder architecture (CD) with random masks is designed to build fine‐grained interaction features and improve the model's generalisation performance. Experimental results demonstrate that the authors' proposed approach obtains significant performance on the two widely used benchmarks, that is, HICO‐DET and V‐COCO. [ABSTRACT FROM AUTHOR]

The Energy‐consuming rights trading policy (ECRTP) is an important environmental regulatory policy in China. The study's goal is to determine how trading in energy‐consuming rights and urban innovation status effects also promote ecological civilization and high‐quality development. The purpose of the study examines the relationship between ECRTP and urban innovation quality (UIQ). Using data from 271 Chinese cities between 2011 and 2020, a difference‐in‐difference (DID) model is used to theoretically and empirically analyze the effects of ECRTP on UIQ. The findings of the study are as follows: First, ECRTP showed a significant improvement in UIQ, although a lagged effect. This outcome offers fresh proof that the "Porter hypothesis" holds water in China. Second, mechanism analysis indicated that ECRTP could improve UIQ with industrial structure upgrading (ISU) and capital deepening. Third, analysis of spillover effects indicates that ECRTP has a key spillover impact on UIQ. Analysis of spillover effects indicates a positive influence of ECRTP on UIQ in surrounding cities. Fourth, heteroggeneity analysis further reveals the impact of ECRTP on UIQ is particularly pronounced in resource‐based and large‐scale cities. These findings are significant and also provide a valuable supplement to the existing study. [ABSTRACT FROM AUTHOR]

Background: Residents' health plays an important role in economic prosperity and national development., Methods: The research analyzes data from 262 prefecture-level cities in China spanning the period from 2010 to 2021. Utilizing the implementation of green credit policy in China as a quasi-natural experiment, the paper employs the time-varying Differences-in- Differences (DID) model to evaluate the influence of green credit policy on residents' health., Results: The paper results show that: (1) the green credit policy significantly improves residents' health, and this conclusion still holds after a series of robustness tests. (2) Mechanism analysis reveals that the green credit policy affects residents' health through the improvements of the environment and the elevation of public services standards in demonstration cities. (3) Heterogeneity analysis shows that the impact of green credit policy on residents' health is more significant in the western cities and resource-based cities than in the central-eastern cities and non-resource-based cities. This paper explains the specific path and realization of green credit policy to enhance residents' health, which provides a reference for further designing and improving effective green credit policy., Discussion: The deficiencies within the green credit policy has resulted in limited improvements. It is recommended that China should broaden the ambit of the green credit policy and refine the criteria for its execution., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Wang, Wang and Guo.)

Improving the residents' health is an important strategy for addressing the declining population dividend in China under the new development paradigm. Based on the panel data of 290 prefecture-level cities in China from 2010 to 2021, this paper uses environmental tax as a quasi-natural experiment, and adopts a DID model to explore the impact of market-based environmental regulation on the residents' health. The results show that the implementation of environmental tax can significantly reduce the population mortality rate, indicating an enhancement in residents' health outcomes. Mechanism analysis shows that environmental tax mainly relies on air quality to improve the residents' health. Also, the heath effect of environmental tax will be effective with the increase of income, and it's stronger in administrative border areas. Heterogeneity analysis shows that the effect of environmental tax on residents' health in western regions and resource-based cities is significantly stronger than those in central and eastern regions and non-resource-based cities. This paper provides new evidence for a comprehensive understanding of the impact of market-based environmental regulations on residents' well-being, offering insights for the implementation of green development strategies., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.