This study employed fixed effects (FE) models, difference-in-differences (DID) methods, and mediating effect (ME) models to explore the total effect, structural effect, heterogeneous characteristics, and impact mechanism of digital inclusive finance (DIF) on green technology innovation (GTI) from 2011 to 2020. We derived the following results. First, DIF can significantly improve the level of GTI, and the positive role of internet digital inclusive finance is greater than that of traditional banks, but the three dimensions of the DIF index have different impacts on such innovation. Second, the impact of DIF on GTI has a "siphon effect," which is significantly promoted in regions with stronger economic power and inhibited in those with weaker economic power. Finally, there is an influence mechanism of "digital inclusive finance → financing constraints → green technology innovation." Our findings provide evidence to establish a lasting effect mechanism for DIF to promote GTI, and they have important reference value for other countries to develop DIF.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/s11356-023-27072-4 | DOI Listing |
BMC Med
January 2025
Nuffield Department of Primary Care Health Sciences, University of Oxford, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG, UK.
Background: The NHS App launched in 2019 as the 'digital front door' to the National Health Service in England with core features including General Practitioner (GP) appointment booking, repeat prescriptions, patient access to records and, later on, COVID-19 vaccination certification. Similar patient portals have been adopted in different formats and with variable levels of success. In this longitudinal study (2021-2023) we examined how the NHS App became implemented in the pandemic context and beyond.
View Article and Find Full Text PDFClin Oncol (R Coll Radiol)
December 2024
Department of Pathology and Laboratory Medicine, Medical College of Wisconsin, 9200 W Wisconsin Ave, Milwaukee, WI 53226, USA; Department of Pathology, Yale School of Medicine, 20 York Street, Ste East Pavilion 2-631, New Haven, CT 06510, USA. Electronic address:
Aims: The recent widespread use of electronic health records (EHRs) has opened the possibility for innumerable artificial intelligence (AI) tools to aid in genomics, phenomics, and other research, as well as disease prevention, diagnosis, and therapy. Unfortunately, much of the data contained in EHRs are not optimally structured for even the most sophisticated AI approaches. There are very few published efforts investigating methods for recording discrete data in EHRs that would not slow current clinical workflows or ways to prioritise patient characteristics worth recording.
View Article and Find Full Text PDFEcol Lett
January 2025
Estación Biológica de Doñana (EBD-CSIC), Sevilla, Spain.
With many species interacting in nature, determining which interactions describe community dynamics is nontrivial. By applying a computational modeling approach to an extensive field survey, we assessed the importance of interactions from plants (both inter- and intra-specific), pollinators and insect herbivores on plant performance (i.e.
View Article and Find Full Text PDFMater Horiz
January 2025
State Key Laboratory of Digital Medical Engineering, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, P. R. China.
Atrazine is a widely used and heavily contaminating pesticide. In this work, we designed and synthesized a versatile catalyst for the degradation and fluorescent detection of atrazine. This catalyst consists of Cu clusters modified by a Schiff base.
View Article and Find Full Text PDFPrev Med Rep
January 2025
Center for Advanced Practice, OSF HealthCare, Peoria, IL, USA.
Objective: The benefits of mobile applications in the prenatal period remain understudied. This study assessed associations between the Pregnancy Postpartum Support Program (PPSP), a digital wraparound service, and maternal and infant outcomes in a Medicaid population.
Methods: A retrospective analysis was conducted on pregnant patients with Medicaid insurance who received care and delivered in a Midwestern United States healthcare system between 8/1/2022-8/15/2023, comparing outcomes among those who did versus did not opt for PPSP enrollment.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!