Technological innovations and health performance: Effects and transmission channels

传输(电信) 计算机科学 电信
作者
Bassem Kahouli,Anis Omri,Hatem Afi
出处
期刊:Technological Forecasting and Social Change [Elsevier BV]
卷期号:204: 123450-123450
标识
DOI:10.1016/j.techfore.2024.123450
摘要

This article extends the existing literature on the health impacts of technological innovations by investigating both the direct effects of technological innovations on health outcomes and the indirect effects through economic growth, environmental performance, and renewable energy in the GCC countries. The study employs the three-step approach of Baron and Kenny (1986) to analyze the relationship between technological innovations and health outcomes. To ensure the validity of the analysis, several multiple preliminary tests are conducting, including assessments of cross-section dependence and slope homogeneity. The Augmented Mean Group (AMG) method is then utilized to explore the long-run estimates. The findings derived from the estimated health production function reveal that technological innovations have a direct positive impact on improving health outcomes, specifically in terms of life expectancy at birth and disability-adjusted life years (DALYs). Furthermore, the study highlights the significant role of technological innovations in promoting economic growth, environmental performance, and renewable energy generation. However, when incorporating these mediating variables alongside technological innovations in the health production function, the direct effects of technological innovations on health outcomes becomes less significant. This suggests that economic growth and environmental performance act as transmission channels, linking technological innovations to improved health outcomes. It is crucial for policymakers in the GCC countries to prioritize the implementation of policies that foster technological innovations, was they possess the potential to not only drive economic growth but also enhance environmental performance, ultimately leading to better health outcomes.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
美丽问旋发布了新的文献求助20
刚刚
AgentCooper应助三月十六树采纳,获得20
1秒前
小鲸鱼发布了新的文献求助10
1秒前
1秒前
2秒前
河漫完成签到,获得积分10
2秒前
2秒前
在水一方应助咪咪采纳,获得10
3秒前
YYYYQ完成签到,获得积分10
4秒前
Li完成签到,获得积分10
4秒前
Page_Page完成签到,获得积分10
4秒前
4秒前
5秒前
春樹暮雲发布了新的文献求助10
6秒前
6秒前
6秒前
无极微光应助风清扬采纳,获得20
6秒前
赘婿应助lxy采纳,获得10
6秒前
还好吧发布了新的文献求助10
7秒前
独特的笑天完成签到,获得积分20
7秒前
贪玩的书包完成签到 ,获得积分10
7秒前
7秒前
安静曼云发布了新的文献求助10
7秒前
科研通AI6.3应助专注绝义采纳,获得30
7秒前
Dr_Fang完成签到 ,获得积分10
7秒前
8秒前
赘婿应助清脆的书桃采纳,获得10
8秒前
感恩有你发布了新的文献求助20
9秒前
x25666发布了新的文献求助20
9秒前
Vi发布了新的文献求助10
9秒前
1111应助七月流火采纳,获得10
10秒前
yxt完成签到,获得积分10
11秒前
11秒前
11秒前
Maytail完成签到,获得积分10
12秒前
Lucas应助没用的鱿鱼采纳,获得10
12秒前
koalafish完成签到,获得积分10
12秒前
12秒前
CipherSage应助wyl采纳,获得10
12秒前
LZHDICP发布了新的文献求助10
12秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Rheumatoid arthritis drugs market analysis North America, Europe, Asia, Rest of world (ROW)-US, UK, Germany, France, China-size and Forecast 2024-2028 500
17α-Methyltestosterone Immersion Induces Sex Reversal in Female Mandarin Fish (Siniperca Chuatsi) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6364898
求助须知:如何正确求助?哪些是违规求助? 8178864
关于积分的说明 17239318
捐赠科研通 5419951
什么是DOI,文献DOI怎么找? 2867816
邀请新用户注册赠送积分活动 1844885
关于科研通互助平台的介绍 1692343