Identifying ESG types of Chinese solid waste disposal companies based on machine learning methods.

In the context of China's efforts to combat climate change and promote sustainable development, the solid waste treatment industry's environmental, social, and corporate governance (ESG) performance is receiving significant attention. To comprehensively assess the ESG performance of the solid waste treatment industry and identify company types, this study constructs a targeted ESG evaluation index system based on existing literature, SASB industry standards, and company reports and utilizes a random forest approach combined with K-means clustering to determine indicator weights. Based on this index system, the paper evaluates the ESG performance of 71 solid waste disposal companies (SWDCs) from 2013 to 2021 and identifies their ESG types from static and dynamic perspectives.

Factors influencing illegal dumping of hazardous waste in China.

In recent years, illegal dumping of hazardous waste (IDHW) in China has become a recurring problem. Effective identification and exploration of the factors influencing illegal dumping are crucial for incident prevention and hazardous waste management, but its analysis has rarely been reported. Thus, this study focused on 568 cases of IDHW officially reported by the government.

Factor allocation efficiency of environmental protection industry in China-Based on the perspective of micro enterprises.

The Environmental Protection Industry (EPI) has expanded tremendously in response to rising environmental awareness and governmental assistance. EPI development has been hampered by the disordered and unbalanced allocation of production factors caused by the complex and diverse industry mix. In this study, a micro perspective is adopted to dissect the EPI into three departments: technology, manufacturing, and management.

Carbon reduction behavior of waste power battery recycling enterprises considering learning effects.

The carbon reduction behavior of waste power battery recycling (WPBR) enterprises is essential for promoting resource conservation and environmental protection. Introducing the learning effects of carbon reduction research and development (R&D) investment, this study constructs an evolutionary game model between local governments and WPBR enterprises to study the behavior choice of carbon reduction. The paper explores the evolutionary process and factors affecting carbon reduction behavior choices of WPBR enterprises from internal R&D motivation and external regulation perspectives.

Effect of carbon trading scheme and technological advancement on the decision-making of power battery closed-loop supply chain.

Optimising the decision-making of a power battery closed-loop supply chain (CLSC) and establishing a well-organised recycling system of waste power batteries are key to avoiding environmental pollution and wastage of resources, as well as realising green and sustainable development of a power battery CLSC. Combined with game theory and system dynamics, we explore the impact of the carbon trading scheme (CTS) and technological advancements on the power battery CLSC model. The results show the following: 1).

The CUSUM statistic of change point under NA sequences.

In this paper, we investigate the CUSUM statistic of change point under the negatively associated (NA) sequences. By establishing the consistency estimators for mean and covariance functions respectively, the limit distribution of the CUSUM statistic is proved to be a standard Brownian bridge, which extends the results obtained under the case of an independent normal sample and the moving average processes. Finally, the finite sample properties of the CUSUM statistic are given to show the efficiency of the method by simulation studies and an application on a real data analysis.

What factors determine the survival of green innovative enterprises in China? -- A method based on fsQCA.

Increasingly serious environmental problems have generated a large number of small and medium-sized green innovative enterprises. Against the background of rapid technological changes and increasingly fierce market competition, survival is the main problem faced by these enterprises. Exploring the mechanisms and core elements that determine the survival of green innovation enterprises is of great practical significance for improving the survival probability of green innovation enterprises and achieving environmental improvement through green innovation.

The evolution of a collaboration network and its impact on innovation performance under the background of government-funded support: an empirical study in the Chinese wind power sector.

To accelerate the transformation and application of basic research results, the Chinese government has repeatedly mentioned in a government work report that it is necessary to support research and innovation collaborations between knowledge research institutions and enterprises. However, few studies have focused on the evolution of collaborations between these organizations and the impact of collaborations on innovation performance (IP) in the field of renewable energy under the background of government-funded support (GFS). Based on scientific publications, we construct a GFS collaboration network in the wind power field to investigate the evolution of network structure characteristics, attribute proximity variables, and applied research collaboration (ARC), and we study the impact of network evolution on the IP of actors.

Can environmental innovation benefit from outward foreign direct investment to developed countries? Evidence from Chinese manufacturing enterprises.

Environmental innovation is an important way to low-carbon economic growth. Outward foreign direct investment (OFDI) can produce reverse technology transfer to promote innovation. This study aims to examine whether OFDI to developed countries can transfer reverse green technology and promote the environmental innovation of manufacturing enterprises in emerging economies (EEs).

Ecological security assessment of Chaohu Lake Basin of China in the context of River Chief System reform.

In the face of the increasingly severe water environment, establishing an effective water environment management mechanism is a major concern of governments around the world. The River Chief System attempts to match water environment management to the performance of the main leaders of the local party and government and represents an institutional innovation to solve the problem of river and lake management in China. However, there is still a lack of systematic research on the performance of the River Chief System and how to promote its overall effectiveness.

Light emitting diode irradiation protect against the amyloid beta 25-35 induced apoptosis of PC12 cell in vitro.

Background And Objectives: Whether light emitting diode (LED) irradiation has effects on "beta-amyloid (A beta) induced apoptosis," a leading hypothesis of the cause of Alzheimer's disease (AD), or not?

Study Design/materials And Methods: Monolayer cell cultures of PC12 were subjected to A beta or/and LED irradiation at various intensity. Cell apoptosis was confirmed by morphological criteria, DNA fragmentation assay, and FAScan flow cytometer assay.

Results: Treatment of the cells with LED irradiation significantly diminished A beta induced apoptosis within 24 hours.