scholarly journals Allocation Efficiency of Higher Education Resources in China

2021 ◽  
Vol 16 (11) ◽  
pp. 59
Author(s):  
Dalai Ma ◽  
Xuefeng Li
Keyword(s):  
Higher Education ◽  
Theil Index ◽  
Eastern Region ◽  
Data Envelopment ◽  
Allocation Efficiency ◽  
Education Resources ◽  
Resource Allocation Efficiency ◽  
Education Resource ◽  
Internal Gap ◽  
Efficiency Data

This paper uses the super-efficiency data envelopment analysis (DEA) model to measure the higher education resource allocation efficiency (HERAE) of 30 provinces from China 2005-2018, and analyzes the regional difference and dynamic evolution law of the HERAE with Theil index and kernel density estimation, respectively. The results show that: The HERAEs of most provinces are DEA effective, but the HERAEs of a few provinces are DEA ineffective, calling for further improvement to the allocation of higher education resources in these places. There was a certain difference in the HERAE trend between eastern, central, and western regions. In the sample period, eastern region had higher HERAE than central and western regions. With the elapse of time, the internal gap of HERAE decreased to different degrees in the three regions. Eastern region had the largest gap, followed in turn by central and western regions. In addition, China’s HERAEs were polarized in time. With the passage of time, the polarization of regional HERAEs slowly weakened.

Evaluation and Analysis on Benefit of College Resources Input of China

2011 ◽  
Vol 328-330 ◽  
pp. 2358-2361 ◽  
Author(s):  
Xiao Hong Zhu
Keyword(s):  
Higher Education ◽  
Rapid Development ◽  
College Education ◽  
Analysis Method ◽  
Social Concern ◽  
R Software ◽  
Resources Management ◽  
Education Resources ◽  
Main Components ◽  
Education Resource

From the 1990s, China's higher education has experienced a rapid development, which provides Talents guarantees for Chinese economic rise and the development of social undertakings. Colleges and universities as an important carrier of higher education, attract more investments from national financial departments at all levels, social organizations and students’ families. The college education resource management increasingly becomes a hot social concern, arousing more and more scholars' research interests. Research indicates that the value of education input can be evaluated. In china, the higher education resources are infrequent, and the using efficiency can not be evaluated by analysis educational economic income of individual. This paper did a profound research on benefit of higher education from input angle based on the main components and clustering analysis method in multivariate statistics, using SPSS and R software. The result has prominent theoretical significance and practical value for high education resources management.

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.

scholarly journals ASSESSMENT OF TFP IN EUROPEAN AND AMERICAN HIGHER EDUCATION INSTITUTIONS – APPLICATION OF MALMQUIST INDICES

2016 ◽  
Vol 24 (2) ◽  
pp. 467-488 ◽  
Author(s):  
Joanna WOLSZCZAK-DERLACZ
Keyword(s):  
Higher Education ◽  
Data Envelopment Analysis ◽  
Productivity Growth ◽  
Negative Association ◽  
Distance Measures ◽  
Data Envelopment ◽  
Total Revenue ◽  
American Higher Education ◽  
Malmquist Indices ◽  
The U.S

In this study we apply Malmquist methodology, based on the estimation of distance measures through Data Envelopment Analysis (DEA), to a sample of 500 universities (in 10 European countries and the U.S.) over the period 2000 to 2010 in order to assess and compare their productivity. On average, a rise in TFP is registered for the whole European sample (strongest for Dutch and Italian HEIs), while the productivity of American HEIs suffered a slight decline. Additionally, we show that productivity growth is negatively associated with size of the institution and revenues from government, and positively with regional development in the case of the European sample, while American HEI productivity growth is characterised by a negative association with GDP and a positive one with the share of government resources out of total revenue.

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