Health systems efficiency in China and ASEAN, 2015–2020: a DEA-Tobit and SFA analysis application

托比模型 数据包络分析 全要素生产率 索引(排版) 马尔奎斯特指数 效率低下 随机前沿分析 国内生产总值 中国 生产力 经济 医学 经济增长 计量经济学 地理 统计 宏观经济学 考古 微观经济学 万维网 生产(经济) 计算机科学 数学
作者
Jing Kang,Rong Peng,Jun Feng,Junyuan Wei,Li Zhen,Huang Fen,Yu Fu,Xiaorong Su,Yu-Jung Chen,Xianjing Qin,Qiming Feng
出处
期刊:BMJ Open [BMJ]
卷期号:13 (9): e075030-e075030 被引量:1
标识
DOI:10.1136/bmjopen-2023-075030
摘要

Objective To evaluate the health systems efficiency in China and Association of Southeast Asian Nations (ASEAN) countries from 2015 to 2020. Design Health efficiency analysis using data envelopment analysis (DEA) and stochastic frontier approach analysis. Setting Health systems in China and ASEAN countries. Methods DEA-Malmquist model and SFA model were used to analyse the health system efficiency among China and ASEAN countries, and the Tobit regression model was employed to analyse the factors affecting the efficiency of health system among these countries. Results In 2020, the average technical efficiency, pure technical efficiency and scale efficiency of China and 10 ASEAN countries’ health systems were 0.700, 1 and 0.701, respectively. The average total factor productivity (TFP) index of the health systems in 11 countries from 2015 to 2020 was 0.962, with a decrease of 1.4%, among which the average technical efficiency index was 1.016, and the average technical progress efficiency index was 0.947. In the past 6 years, the TFP index of the health system in Malaysia was higher than 1, while the TFP index of other countries was lower than 1. The cost efficiency among China and ASEAN countries was relatively high and stable. The per capita gross domestic product (current US$) and the urban population have significant effects on the efficiency of health systems. Conclusions Health systems inefficiency is existing in China and the majority ASEAN countries. However, the lower/middle-income countries outperformed high-income countries. Technical efficiency is the key to improve the TFP of health systems. It is suggested that China and ASEAN countries should enhance scale efficiency, accelerate technological progress and strengthen regional health cooperation according to their respective situations.

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
炸薯条发布了新的文献求助10
刚刚
刚刚
姗珊完成签到 ,获得积分10
刚刚
乐观的素阴完成签到 ,获得积分10
刚刚
1秒前
我眼里的雨完成签到,获得积分10
1秒前
长颈鹿完成签到 ,获得积分10
1秒前
文静的笑阳完成签到,获得积分10
2秒前
2秒前
栗悟饭与龟波功完成签到,获得积分10
2秒前
我在云端完成签到,获得积分10
3秒前
舒鸿完成签到,获得积分10
3秒前
cchuang完成签到,获得积分10
3秒前
嘉博学长发布了新的文献求助10
4秒前
linda627完成签到,获得积分10
4秒前
zzx396完成签到,获得积分0
4秒前
YBurger完成签到,获得积分10
4秒前
TH完成签到 ,获得积分10
5秒前
香蕉觅云应助ccalvintan采纳,获得10
5秒前
TRY完成签到,获得积分10
5秒前
雷雷雷发布了新的文献求助10
5秒前
鹤昀发布了新的文献求助10
6秒前
宝石山完成签到,获得积分10
6秒前
adagio完成签到,获得积分0
7秒前
玩命的十三完成签到 ,获得积分10
7秒前
骤世界完成签到 ,获得积分10
8秒前
朝圣者发布了新的文献求助10
8秒前
chun完成签到 ,获得积分10
8秒前
8RUENCE完成签到,获得积分10
8秒前
齐安客完成签到,获得积分10
9秒前
尊敬的小凡完成签到,获得积分10
10秒前
tangzanwayne完成签到 ,获得积分10
10秒前
爆米花应助科研通管家采纳,获得10
10秒前
10秒前
Guo应助科研通管家采纳,获得10
11秒前
汉堡包应助科研通管家采纳,获得10
11秒前
Willa应助科研通管家采纳,获得10
11秒前
NexusExplorer应助科研通管家采纳,获得10
11秒前
顾矜应助科研通管家采纳,获得30
11秒前
Owen应助科研通管家采纳,获得10
11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
Introduction to Helicopter and Tiltrotor Flight Simulation, Second Edition 2500
卤化钙钛矿人工突触的研究 2000
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 600
Bounds for Statistical Estimation in Semiparametric Models 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 6498307
求助须知:如何正确求助?哪些是违规求助? 8294269
关于积分的说明 17697224
捐赠科研通 5594352
什么是DOI,文献DOI怎么找? 2917610
邀请新用户注册赠送积分活动 1894577
关于科研通互助平台的介绍 1755252