Characteristics and needs of physical and mental health among older adult individuals with disabilities under the background of smart healthcare: according to data from the China family panel studies DOI Creative Commons
Qian Zou, Xin Guan,

Xiaojing Cao

et al.

Frontiers in Public Health, Journal Year: 2025, Volume and Issue: 13

Published: Feb. 21, 2025

This study aimed to utilize data from the China family panel studies (CFPS) systematically analyze physical and mental health characteristics needs of older adult individuals with disabilities under context smart healthcare, aiming provide scientific evidence for relevant policy formulation. Data were derived CFPS surveys conducted by Peking University's Social Sciences between 2021 2022. Older aged 65 above requiring assistance in activities daily living (ADL) or instrumental (IADL) included. Descriptive statistics, univariate analysis, multivariate analysis employed basic characteristics, status, influencing factors, corresponding disabilities. Samples 80, widowed divorced, demonstrated higher scores (p < 0.05); samples education at college level above, residing urban areas, free chronic diseases, annual income exceeding 100,000 RMB, receiving support, frequently accessing community services, regularly using medical devices exhibited greatly levels health, overall on short form survey (SF-36) 0.05). Factors such as younger age, absence economic frequent access regular use exerted favorable effects status residence, services found positively influence The is influenced various including social conditions, utilization resources. These factors constitute significant determinants improving represent key their betterment.

Language: Английский

Does cross-policy mix work on digital innovation: analyzing by the impact of open government data and low-carbon city pilot policies in China DOI
Lulu Wang,

Yong Zhan

Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: unknown, P. 144842 - 144842

Published: Jan. 1, 2025

Language: Английский

Citations

2
The impact of green bond issuance on corporate green innovation: A signaling perspective DOI
Changsong Li,

Xiaojing Cao,

Zeyu Wang

et al.

International Review of Financial Analysis, Journal Year: 2025, Volume and Issue: unknown, P. 104113 - 104113

Published: March 1, 2025

Language: Английский

Citations

2
Assessing the effect of urban digital infrastructure on green innovation: mechanism identification and spatial-temporal characteristics DOI Creative Commons
Chengming Li,

Meiyu Wen,

Shaoxiang Jiang

et al.

Humanities and Social Sciences Communications, Journal Year: 2024, Volume and Issue: 11(1)

Published: Feb. 26, 2024

Abstract Under the background of digitization and greening in China, digital infrastructure offers new opportunities for developing green innovation. This paper investigates effect on urban innovation using panel data from 285 Chinese prefecture-level cities between 2011 2020, explains mechanism its spatial-temporal dynamic effect. The results demonstrate that promotes Talent agglomeration, R&D investment increase, industrial structure upgrading are crucial channels. Furthermore, depending a city’s size, human capital, environmental regulations, financial subsidies, contributes to differently. Also, there is not only positive spatial spillover but threshold presents nonlinear trend rising marginal study provides perspective promoting innovation, which makes difference facilitating high-level development collaboratively.

Language: Английский

Citations

13
Utilizing data platform management to implement “5W” analysis framework for preventing and controlling corruption in grassroots government DOI Creative Commons
Zeyu Wang, Xin Guan,

Yanzhao Zeng

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(7), P. e28601 - e28601

Published: March 22, 2024

In the era of information technology advancement, big data analysis has emerged as a crucial tool for government governance. Despite this, corruption remains challenge at grass-roots level, primarily attributed to asymmetry. To enhance efficacy prevention and control in government, this study introduces concept platform management integrates it with "5W" (Who, What, When, Where, Why) framework. The research is motivated by observation that existing studies on concentrate formulation laws regulations, neglecting potential improvement actual effectiveness through utilization platforms analytical frameworks. employs methodologies grounded Strengths, Weaknesses, Opportunities, Threats (SWOT) framework, Plan, Do, Check, Act (PDCA) cycle 5W Throughout iterative process implementing management, various timeframes are established, impact three models evaluated using indicators such public participation satisfaction. reveals SWOT framework can formulate targeted strategies, PDCA continuously optimizes work processes, profoundly explores root causes corruption. outcomes indicate 10.76% increase level score model, rising from 71.67%, 23.24% governance efficiency score, reaching 66.12%. model excels case handling prescription reporting rate. synergistic application demonstrates positive impact. conclusion, amalgamation multi-model approach effectively enhances capabilities governments, offering insights establishment transparent efficient

Language: Английский

Citations

11
Optimizing green supply chain circular economy in smart cities with integrated machine learning technology DOI Creative Commons
Tao Liu, Xin Guan, Zeyu Wang

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(9), P. e29825 - e29825

Published: April 25, 2024

This paper explores methodologies to enhance the integration of a green supply chain circular economy within smart cities by incorporating machine learning technology. To refine precision and effectiveness prediction model, gravitational algorithm is introduced optimize parameter selection in support vector model. A nationwide model for economic development efficiency meticulously constructed leveraging public economic, environmental, demographic data. comprehensive empirical analysis follows, revealing noteworthy reduction mean squared error root with increasing iterations, reaching minimum 0.007 0.103, respectively—figures that are lowest among all considered models. Moreover, absolute percentage value remarkably low at 0.0923. The data illustrate gradual decline average standard deviation throughout optimization process, indicative both convergence heightened accuracy. These results underscore significant potential technology optimizing management. provides valuable insights decision-makers researchers navigating landscape sustainable development.

Language: Английский

Citations

10
Impact of digital greening synergistic transformation on urban economic resilience in China: Evidence from quasi-natural experiments DOI Creative Commons

Liangen Zeng,

Meiyu Wen,

Chengming Li

et al.

Humanities and Social Sciences Communications, Journal Year: 2025, Volume and Issue: 12(1)

Published: Jan. 25, 2025

Language: Английский

Citations

1
How does digital infrastructure break the resource curse of cities? Evidence from a quasi-natural experiment in China DOI
Jingjing Sun,

Chenchen Zhai,

Xiaoqi Dong

et al.

Resources Policy, Journal Year: 2023, Volume and Issue: 86, P. 104302 - 104302

Published: Oct. 1, 2023

Language: Английский

Citations

20
Artificial Intelligence-Driven Multi-Energy Optimization: Promoting Green Transition of Rural Energy Planning and Sustainable Energy Economy DOI Open Access
Xiaoyan Peng, Xin Guan, Yanzhao Zeng

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(10), P. 4111 - 4111

Published: May 14, 2024

This research contributes to the overarching objectives of achieving carbon neutrality and enhancing environmental governance by examining role artificial intelligence-enhanced multi-energy optimization in rural energy planning within broader context a sustainable economy. By proposing an innovative framework that accounts for geographical economic disparities across regions, this study specifically targets systems X County Yantai City, Y Luoyang Z Lanzhou City. Furthermore, it establishes foundation integrating these localized approaches into national carbon-neutral efforts assessments green total factor productivity. The comparative analysis demand, conservation, efficiency, metrics among counties underscores potential tailored solutions significantly advance low-carbon practices agriculture, urban development, industry. Additionally, insights derived from offer deeper understanding dynamics between government enterprise governance, empirically supporting Porter hypothesis, which postulates stringent policies can foster innovation competitiveness. coal-coupled biomass power generation model introduced work represents convergence economy principles financial systems, serving as valuable guide decision-making decisions aimed at consumption production. Moreover, importance resilient adaptable pathway evaluating emission trading markets promoting recovery strategies align with sustainability goals.

Language: Английский

Citations

8
Underdog entrepreneurship in the digital era: The effect of digital servitization on household entrepreneurship in China DOI Creative Commons
Chengming Li, Daming Li, Yinhe Liang

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(2), P. e24154 - e24154

Published: Jan. 1, 2024

In today's digital era, households are empowered by servitization, which could potentially impact their ability to become entrepreneurs. Using data from the China Family Panel Studies (CFPS) and National Bureau of Statistics China, we construct servitization index analyze on household entrepreneurship. The results show that utilization significantly increases likelihood them engaging in entrepreneurial endeavors. This result remains robust after a series robustness tests. We also find can help identify opportunities access resources alleviating information financial constraints, increasing social capital. Further, effect is more among with rural residences, low material assets, elderly heads, heads cognitive abilities, means promote underdog conclusion, this paper provides micro-level evidence supporting idea foster entrepreneurship, particularly underprivileged groups. Ultimately, highlights potential digitization as an essential resource drive economic growth need successful

Language: Английский

Citations

7
Understanding China's CO2 emission drivers: Insights from random forest analysis and remote sensing data DOI Creative Commons

Qingsheng Lei,

Hongwei Yu, Zixiang Lin

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(7), P. e29086 - e29086

Published: April 1, 2024

China has become the world's largest emitter of carbon dioxide, putting significant pressure on government to reduce emissions. This study analyzes driving factors emissions in 281 prefecture-level cities from 2003 2019, based emission data matched with locations thermal power stations and nighttime light data. Firstly, we compare accuracy multivariate linear regression random forest models, finding that yields superior results. Then, rank impact various using method, revealing population, economic development, industrialization are top three influencing factors. The interaction between population development explains 68.5% emissions, regional variations ranking main policy implications this as follows: firstly, there is no need overly concern about growth policies regarding fertility can be adjusted flexibly; secondly, controlling urbanization a certain extent conducive achieving efficient low-carbon cities; thirdly, during process industrialization, inevitably increase, it advisable accelerate reach turning point soon possible.

Language: Английский

Citations

6