This study provides an in-depth analysis of the complex relationship between the digital economy and carbon emissions, fully drawing on essential principles of environmental economics, coupled economics, and sustainable development theory. Focusing on the Qinghai region in the western province of China, the study employs highly sophisticated methods such as multiple regression analysis and system dynamics modeling to reveal the multidimensional coupling effects between digital economy development and carbon emission dynamics. The study's results clearly show that in the Qinghai region of China, the booming growth of the digital economy is related to carbon emissions. Of particular interest, the study finds that this relationship exhibits a high degree of complexity and non-linearity and evolves gradually over time. Initially, the rapid expansion of the digital economy, accompanied by high energy consumption and increased carbon emissions, posed a significant challenge to environmental protection. However, a clear inverted "U"-shaped relationship has emerged as the digital economy evolves. This key inflection point signals a shift in the landscape as the digital economy begins to deliver some ecological benefits, potentially reducing the trend of carbon emissions in the future. The findings of this study go beyond simple causality and reveal a complex and evolving dynamic relationship between the digital economy and carbon emissions. Through such insights, this study provides a solid academic foundation and carefully constructs actionable policy recommendations to drive sustainable development. These insights apply to the Qinghai region of China and provide valuable references and lessons for other areas facing similar challenges.
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http://dx.doi.org/10.1016/j.heliyon.2024.e26451 | DOI Listing |
Health Care Transit
November 2023
Department of Health Promotion, Care and Public Health Research Institute, Maastricht University, Maastricht, the Netherlands.
Public Sexual and Reproductive Health (SRH) services are traditionally provided face-to-face by Dutch Sexual Healthcare Clinics. High demand for these services led to the exploration of digital health to increase access and support self-care. However, the implementation was fragmented and uncoordinated.
View Article and Find Full Text PDFFront Public Health
December 2024
School of Law and Economics, Wuhan University of Science and Technology, Wuhan, China.
Introduction: The consequences of aged living arrangements on mental health in the digital age have drawn significant research attention.
Methods: This study used empirical data to analyze the impact of living arrangements on the mental health of older adults by ordinary least squares (OLS) and to examine the moderating effect of Internet use in it through the moderating effect test. A total of 17,243 older adults were included in the analytical model.
Cogn Process
December 2024
Department of Psychology, National Research University Higher School of Economics, Moscow, Russia.
As technological interfaces are relatively new cultural tools, regular interaction can lead to new psychological phenomena, like the baby duck syndrome, where users favor old interfaces over updates. This syndrome is seen as a cognitive bias in human-computer interaction. Two studies were conducted: Study 1 on an Airbnb app (old vs.
View Article and Find Full Text PDFBMC Cancer
December 2024
Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, 45008, China.
Background: It has been proposed that risk model-based strategies could serve as viable alternatives to traditional risk factor-based approaches in lung cancer screening; however, there has been no systematic discussion. In this review, we provide an overview of the benefits, harms, and cost-effectiveness of these two strategies in lung cancer screening application, as well as discussing possible future research directions.
Methods: Following the PRISMA guidelines, a comprehensive literature search was conducted across PubMed, Web of Science, Cochrane libraries, and EMBASE from January 1994 to April 2024.
J Environ Manage
December 2024
School of Economics, Beijing Institute of Technology, Beijing, 100081, China. Electronic address:
To assess the influence of China's green technology transfer on the energy intensity of Belt and Road Initiative (BRI) regions, we first constructed an index of green technology transfer using nearly 80,000 international green patent families from 2002 to 2020. This paper further quantified its association with the energy intensity of BRI regions and tested the possible energy rebound effect. The results revealed an increase in the number of green patent transfers from 2002 to 2015, followed by a decrease between 2016 and 2020, possibly due to increasing technological maturity.
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