The study investigated "Building Ecological Civilization: the Importance of Promoting Green Investments by Chinese Companies" to examine the complex connections between the factors affecting Chinese businesses' ecological performance (EP). An autoregressive distributed lag (ARDL) model is used in the study to analyze the impact of green investments (GI), the policy environment (PE), government support (GS), public awareness and perception (PAP), and technological capability (TC) on companies' earnings per share (EPS). The results show a strong correlation between GI and EP, indicating that businesses' growing use of green initiatives is essential for raising environmental sustainability. The study also shows that PE, TC, and EP have an inverse relationship, indicating the need for more supportive governmental policies and regulations and the effective adoption and implementation of green technologies. The interaction of GS and PAP significantly reduces the ecological impact of green investments, highlighting the significance of citizen involvement and the role of government in advancing ecological civilization. The findings also demonstrated that green investments, policy environments, public perception, and technology influence the ecological performance of businesses. They also demonstrate statistical robustness with low p-values. This information is essential for developing policies that support an ecological civilization, which is necessary for China and globally in light of the current climate crisis.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1007/s11356-023-30132-4 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
The secrets to high-level green technology innovation of China's waste power battery recycling enterprises.
J Environ Manage
January 2025
School of Management, Hefei University of Technology, Hefei, Anhui, 230009, China; Key Laboratory of Process Optimization and Intelligent Decision-Making of Ministry of Education, Hefei, 230009, China. Electronic address:
Green technology innovation (GTI) in China's waste power battery recycling (WPBR) sector is a key driver for sustainable resource management, environmental protection, and economic prosperity. Using the PSR-BN-GPT-4 model and multi-source data, this study explores China's WPBRenterprises' high-level GTI mechanism. The research concludes that (1) Compared to traditional expert knowledge, the Bayesian network model based on GPT-4 exhibits superior causal reasoning capability.
View Article and Find Full Text PDFA Bayesian Network model to integrate blue-green and gray infrastructure systems for different urban conditions.
J Environ Manage
January 2025
College of Interdisciplinary Studies, Zayed University, Dubai, United Arab Emirates.
In facing growing challenges in cities and the environment, cities need to make informed decisions on where and how to allocate resources for infrastructure investments. Nature-based Solutions present a promising approach to urban environmental and socioeconomic challenges, but their successful integration into urban planning requires a nuanced understanding of both their benefits and limitations. This paper presents a preliminary Bayesian Network model designed to model the optimal integration of specific blue-green and gray Infrastructure solutions in hybrid systems for specific local contexts.
View Article and Find Full Text PDFClimate change impact on green spaces planning in an urban area using a hybrid approach.
Environ Sci Pollut Res Int
January 2025
Department of Geomatics Engineering, Hacettepe University, 06800, Beytepe, Ankara, Türkiye.
This study presents a hybrid methodology for planning green spaces to enhance urban sustainability and livability, evaluating the impacts of climate change on cities. Cities, once accommodating a small population, have become major centers of migration and development since the eighteenth century. Rapid urban growth intensifies infrastructure, environmental, and social challenges.
View Article and Find Full Text PDFDevelopment of a SYBR Green-based RT-qPCR assay for the rapid detection of peste-des-petits-ruminants virus.
J Vet Diagn Invest
January 2025
Departments of Veterinary Microbiology, College of Veterinary and Animal Sciences, Kerala Veterinary and Animal Sciences University, Pookode, Kerala, India.
Peste-des-petits-ruminants (PPR) is primarily a disease of small ruminants caused by peste-des-petits-ruminants virus (PPRV; , ), formerly the small ruminant morbillivirus. PPRV can cause significant morbidity and mortality in small ruminants and a significant economic impact. Conventional reverse-transcription PCR (RT-PCR), and probe-based and SYBR Green-based RT quantitative real-time PCR (RT-qPCR), are employed for the molecular detection of PPRV.
View Article and Find Full Text PDFIs place-based supportive policy necessary to reduce corporate emissions? Firm-level evidence from China.
J Environ Manage
January 2025
Economics and Management School, Wuhan University, Wuhan, 430072, China. Electronic address:
Although a considerable body of research has documented the effects of environmental regulation, spatially differentiated sustainability pressures in China call for diversified environmental governance policies. Based on the Sustainable Development Policy for Resource-based Cities (SDPRC) implemented in 2007, we adopt a staggered difference-in-differences approach using firm-level data to investigate the microeffects and mechanisms of place-based supportive policy on corporate emissions. We find strong and robust evidence that the SDPRC has significantly reduced corporate emissions.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!