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]
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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
刚刚
1秒前
1秒前
墨1234完成签到,获得积分10
1秒前
大方的若山完成签到,获得积分10
2秒前
bobo完成签到,获得积分10
2秒前
迷你蛋黄完成签到,获得积分10
3秒前
hihi发布了新的文献求助10
4秒前
4秒前
DAJI完成签到,获得积分10
4秒前
4秒前
天天快乐应助聪明的千青采纳,获得10
5秒前
搜集达人应助迷路的曼梅采纳,获得10
5秒前
5秒前
清沼发布了新的文献求助10
5秒前
ffff完成签到,获得积分10
5秒前
义气谷兰完成签到 ,获得积分10
6秒前
6秒前
飞上草完成签到,获得积分10
6秒前
kp完成签到,获得积分10
6秒前
7秒前
Hyde完成签到,获得积分10
7秒前
7秒前
在水一方应助香菜碗里来采纳,获得10
8秒前
yp完成签到,获得积分10
8秒前
renovel完成签到,获得积分10
9秒前
飞上草发布了新的文献求助10
10秒前
丰富又槐发布了新的文献求助10
11秒前
poblo完成签到,获得积分10
11秒前
科研通AI2S应助hyjhhy采纳,获得10
12秒前
周周发布了新的文献求助10
12秒前
善意小霸王完成签到,获得积分10
14秒前
轩然完成签到,获得积分10
15秒前
16秒前
16秒前
17秒前
11完成签到,获得积分10
17秒前
情怀应助饱满的凡松采纳,获得10
18秒前
RebeccaHe完成签到,获得积分10
18秒前
科研通AI2S应助超帅的凌翠采纳,获得10
18秒前
高分求助中
Sustainability in Tides Chemistry 2800
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
Rechtsphilosophie 1000
Bayesian Models of Cognition:Reverse Engineering the Mind 888
Le dégorgement réflexe des Acridiens 800
Defense against predation 800
A Dissection Guide & Atlas to the Rabbit 600
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3134291
求助须知:如何正确求助?哪些是违规求助? 2785137
关于积分的说明 7770495
捐赠科研通 2440760
什么是DOI,文献DOI怎么找? 1297506
科研通“疑难数据库(出版商)”最低求助积分说明 624987
版权声明 600792