Assessing Technical Efficiency of the Indian Higher Education: An Application of Data Envelopment Analysis Approach

2021 ◽  
pp. 234763112110119
Author(s):  
Harpreet Kaur
Keyword(s):  
Higher Education ◽  
Data Envelopment Analysis ◽  
Human Resource Development ◽  
Technical Efficiency ◽  
Resource Constraints ◽  
Secondary Data ◽  
Education Sector ◽  
Indian Education ◽  
Data Envelopment ◽  
Indian States

Due to resource constraints in the Indian education sector, efficiency assessment of the higher education is more essential for the proper allocation and the effective utilization of financial and human resources. Moreover, much of the research in the higher education sector has mainly focused on the quality of education and ignored the role of efficiency. Therefore, the present study analyzes the technical efficiency of the higher education in the Indian states. Secondary data for the study were collected from reports of the Ministry of Human Resource Development (MHRD), UGC Reports, Economic Survey of India and Reports of the All India Survey on Higher Education (AISHE). Data Envelopment Analysis was used to analyze the data. The efficiency results suggest that the states analyzed in this study are operating at a moderate level of efficiency relative to each other.

scholarly journals An Analysis of Public Finance on Education Sector in India

2018 ◽  
Vol 5 (2) ◽  
Author(s):  
Prasant Kumar Behera ◽  
Rashmita Khatei
Keyword(s):  
Human Resource Development ◽  
Central Government ◽  
Secondary Data ◽  
Education Sector ◽  
Policy Impact ◽  
Indian Education ◽  
State Governments ◽  
Central State ◽  
Capita Expenditure ◽  
Financing Education

Indian education system is in the mode of massification. Paucity of Finance and quality crunching education sector is a policy discourse today. Joint responsibility of central and state governments for educational development came into existence with the recommendation of Kothari Commission (1976). But, even after many decades, we have not achieved the targeted level of education. This study focuses to examine the trend and pattern of expenditure of central, state and union territories governments on education sector of India. In addition to that paper tries to study the budgetary provision for the education sector by the central government under different five year plans in India. This study is based on secondary data collected mainly from Ministry of Human Resource Development, GoI. The assessment years for the study are from 2000-01 to 2018-19. The study found that due to the policy impact of decentralisation the role and responsibility for financing education in the hand of centre declined and state increased after 2001. The study also reveals that government funding on primary education has become top priority over the years in relation to secondary, higher and technical education. The combined public expenditure incurred by both central and state governments on education hovering around three to four percent of GDP since 2001. There is a need to increase spending on India’s education sector beyond six percent of Gross Domestic Product and per capita expenditure on education should also grow.

scholarly journals Analisis Efisiensi Bank Pembangunan Daerah Ekspansi dan Non-Ekspansi Dengan Pendekatan Data Envelopment Analysis

2018 ◽  
Vol 6 (3) ◽  
pp. 346-351
Author(s):  
Fathista Vistarani Dwi Octaviani
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Secondary Data ◽  
Financial Statements ◽  
Research Data ◽  
Data Envelopment ◽  
Input Output ◽  
Efficiency Ratio ◽  
Regional Bank ◽  
Year 2013

Efisiensi Bank Pembangunan Daerah (BPD) yang di gambarkan oleh rasio BOPO selama tahun 2013 hingga 2015 menunjukkan inefisiensi bank yang selalu meningkat. Perluasan area operasional yang dilakukan oleh BPD tentunya membawa konsekuensi pada efisiensi BPD itu sendiri. Penelitian ini bertujuan untuk menganalisis efisiensi BPD ekspansi dan non-ekspansi baik secara keseluruhan maupun individual serta menentukan besarnya variabel input-output yang harus ditingkatkan ataupun diturunkan BPD guna meningkatkan tingkat efisiensinya pada tingkat maksimal atau 100 persen. Metode penelitian yang digunakan Data Envelopment Analysis (DEA). Data penelitian ini adalah data sekunder dan bersumber dari Bank Indonesia, Otoritas Jasa Keuangan, Badan Pusat Statistik dan laporan keuangan masing-masing BPD tahun 2013 – 2015. Hasil penelitian ini menunjukkan tingkat efisiensi teknis rata-rata BPD ekspansi mencapai 99,90 persen sedangkan tingkat kinerja efisiensi teknis rata-rata BPD non-ekspansi mencapai 99,17 persen. The efficiency of the regional bank (BPD) that are described by the ratio Operational Efficiency Ratio (OER) during 2013 to 2015 always experinece increased efficiency which shows that BPD has decreased year 2013 to 2015. In addition to the expansion of areas of operation conducted by the BPD surely bring consequences on the efficiency of BPD itself. This research aims to analyze the efficiency of BPD and non-eexpansion either individually or as a whole as well as to determine the magnitude of the variable input-output which should be improved or demoted BPD in order to increase the level of efficiency at the level of maximum or 100 percent. The method of research used Data Envelopment Analysis (DEA). This research data are secondary data and proceeds from Bank Indonesia, the finansial services authority, the Central Bureau of statistics and financial statements each year 2013 – 2015 BPD. The results of this study indicate the level of technical efficiency on average reached 99.90 percent expansion BPD while the performance level of technical efficiency of the average BPD non-expansion reached 99.17 percent

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.

scholarly journals The Measurement of Innovation Efficiency of Chinese High-tech Industry Using Data Envelopment Analysis

2015 ◽  
Vol 65 (s2) ◽  
pp. 101-113 ◽  
Author(s):  
Ling Jiang ◽  
Yunyu Jiang ◽  
Zhijun Wu ◽  
Dongsheng Liao ◽  
Runfa Xu
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Environmental Variables ◽  
Scale Efficiency ◽  
High Tech ◽  
Data Envelopment ◽  
High Tech Industry ◽  
Economic Competitiveness ◽  
Development Level ◽  
Using Data

In the era of knowledge economy, a country’s economic competitiveness depends largely on the development level of high-tech industry. This paper evaluates the efficiency of China’s high-tech industry in 31 provinces in 2012 with data envelopment analysis. The empirical results are summarized as following. Firstly, when the effects of exogenous environmental variables are not controlled, the comprehensive technical efficiency of 31 provinces will be overestimated, the pure technical efficiency will be underestimated, and the scale efficiency value will be overestimated. Secondly, after eliminating the environmental impact, the comprehensive technical efficiency of 31 provinces with the average of 0.395 is rather low, due to the low scale efficiency.

scholarly journals Does Farm Size and Specialization Matter for Productive Efficiency? Results from Kansas

2011 ◽  
Vol 43 (4) ◽  
pp. 515-528 ◽  
Author(s):  
Amin W. Mugera ◽  
Michael R. Langemeier
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Production Technology ◽  
Returns To Scale ◽  
Productive Efficiency ◽  
Farm Size ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Sample Period ◽  
Analysis Techniques

In this article, we used bootstrap data envelopment analysis techniques to examine technical and scale efficiency scores for a balanced panel of 564 farms in Kansas for the period 1993–2007. The production technology is estimated under three different assumptions of returns to scale and the results are compared. Technical and scale efficiency is disaggregated by farm size and specialization. Our results suggest that farms are both scale and technically inefficient. On average, technical efficiency has deteriorated over the sample period. Technical efficiency varies directly by farm size and the differences are significant. Differences across farm specializations are not significant.

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