Although the digital economy has become a new driving force for development worldwide, it is still unclear how digital economy development affects green total factor energy efficiency (GTFEE). Using panel data from 281 prefecture-level cities in China from 2003 to 2018, this study empirically analyzes the effect of digital economy development on GTFEE by adopting a dynamic panel model, a mediation effect model, a dynamic threshold panel model, and a spatial Durbin model. The empirical results show that digital economy development has a significantly negative direct effect on GTFEE. The digital economy can impact GTFEE by the mechanisms of electrification, hollowing out of industrial scale, and hollowing out of industrial efficiency. Neither innovation nor environmental regulations significantly change this negative impact. The dynamic threshold panel model shows a nonlinear relationship between digital economy development and GTFEE, which indicates that the effect of digital economy development on GTFEE significantly inverts from negative to positive as the digital economy develops. In addition, GTFEE has a significantly positive spatial correlation, and the digital economy has a positive spatial spillover effect on GTFEE.
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http://dx.doi.org/10.1007/s11356-022-22694-6 | DOI Listing |
Kardiol Pol
January 2025
Institute of Medical Sciences, Collegium Medicum, Jan Kochanowski University, Kielce, Poland.
Background: Body mass index (BMI) reduction in secondary prevention of cardiovascular diseases requires a multidimensional intervention.
Aims: We aimed to evaluate the effect of regular 1-year nursing supervision on weight reduction in secondary prevention in patients with acute coronary syndromes.
Methods: The study was conducted from 2018 to 2022.
Front Public Health
January 2025
Innovation Center of Nursing Research and Nursing Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, West China School of Nursing, Sichuan University, Chengdu, Sichuan, China.
Introduction: The residential environment significantly impacts the mental health of older adults. Urban agglomeration planning, while fostering regional economic development, also influences the psychological well-being of this demographic.
Methods: This study investigates the effects of urban agglomeration planning on depression levels in older adults, utilizing cohort data from the China Health and Retirement Longitudinal Study (CHARLS) and the multi-temporal double-difference-in-differences (DID) model.
BMC Psychol
December 2024
School of Foreign Languages, Henan University of Animal Husbandry and Economy, Zhengzhou, Henan, 450000, China.
This study examines the relationships among Foreign Language Learning Enjoyment (FLLE), L2 grit, academic burnout, and motivated behavior in English as a Foreign Language (EFL) learners, using a mixed-methods approach. A total of 534 Chinese undergraduate EFL learners participated in the quantitative phase, which used a cross-sectional survey, followed by narrative inquiry with 15 participants in the qualitative phase. Structural Equation Modeling (SEM) analysis revealed that FLLE positively influenced motivated behavior while reducing academic burnout.
View Article and Find Full Text PDFBMC Psychol
December 2024
Department of Psychosocial Science, University of Bergen, Christies gate 12. 5015, P.O. Box 7807, Bergen, NO-5020, Norway.
Background: Bicycle messengers in the online food delivery sector typically work on an on-demand basis, have digitally mediated relationships with their employer, and have very limited labor rights. In this study, we explore how bicycle messengers themselves experience their workday and how platform work influences their identity and wellbeing.
Method: We conducted qualitative interviews with ten bicycle messengers working for Foodora and Wolt in Bergen and Oslo, Norway.
BMJ Open
December 2024
Department of Community Medicine and School of Public Health, Post Graduate Institute of Medical Education and Research, Chandigarh, India
Background: A digital supportive supervision (DiSS) tool was developed and implemented in Rajasthan, India, to enhance the coverage and quality of maternal health, child health and nutrition (MCHN) services. This study aims to assess the impact and cost-effectiveness of DiSS compared to traditional paper-based supportive supervision.
Methods And Analysis: A quasi-experimental research design incorporating interrupted time series regression analysis will be employed to evaluate the impact of DiSS.
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