scholarly journals Analysis of health resource allocation efficiency of township hospitals in China

2021 ◽  
Vol 1774 (1) ◽  
pp. 012021
Author(s):  
Sirui Yang ◽  
Shuanggui Tian
Keyword(s):  
Resource Allocation ◽  
Health Resource ◽  
Allocation Efficiency ◽  
Health Resource Allocation ◽  
Resource Allocation Efficiency ◽  
Township Hospitals

scholarly journals Evaluation and Analysis of Medical and Health Resource Allocation Efficiency in HuBei Province

2020 ◽  
Vol 214 ◽  
pp. 03048
Author(s):  
Liu Jia
Keyword(s):  
Resource Allocation ◽  
Technological Progress ◽  
Hubei Province ◽  
System Reform ◽  
Health Resource ◽  
Allocation Efficiency ◽  
Health Resource Allocation ◽  
Management Ability ◽  
Catch Up ◽  
Resource Allocation Efficiency

This paper evaluates and analyzes the efficiency of medical and health resource allocation in the whole country, HuBei province and 19 regions under its jurisdiction. The factors that promote technological progress, such as system reform, management ability improvement and strong policy implementation, are the important reasons that lead to the catch-up effect of resource allocation efficiency. According to the above analysis results, this paper puts forward some suggestions to improve the practical problems.

Impact of capital enrichment on resource allocation efficiency in China’s manufacturing industry

2021 ◽  
pp. 1-17
Author(s):  
Lina Ma ◽  
Fengju Xu ◽  
Lihua Wang ◽  
Akther Taslima
Keyword(s):  
Resource Allocation ◽  
Manufacturing Industry ◽  
Evaluation Model ◽  
Development Trend ◽  
Inhibitory Effect ◽  
Capital Allocation ◽  
Curvilinear Relationship ◽  
Allocation Efficiency ◽  
Capital Allocation Efficiency ◽  
Resource Allocation Efficiency

Capital enrichment (CE) results from capital flows, which reflect the capital distribution among different regions and industries. This paper constructs the evaluation model of resource allocation efficiency from the perspective of capital and innovation resources. It expounds on CE’s theoretical mechanism by using the panel data from 2011 to 2018 for system GMM estimation. It finds that the manufacturing capital allocation efficiency (CAE) and innovation resource allocation efficiency (IRAE) show a volatile development trend. Both static and dynamic panel models show that there is a significant U-shaped curvilinear relationship between CE and CAE, CE and IRAE. CE’s inhibitory effect on CAE and IRAE decreases with the improvement of CE until it exceeds the critical value of 8.27 and 8.93. After that, its impact on CAE and IRAE changes from negative to positive.

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