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2018-03-31
Efficiency of Elementary Education in India: Empirical Evidence Using a Nonparametric Data Envelopment Approach
by Arpita Ghose (Author)

About the Author
Arpita Ghose is a Professor in the Department of Economics, Jadavpur University. She did her Ph.D. from Indian Statistical Institute, Kolkata and worked in the area of disequilibrium economics. She has research publications in reputed national and international Journals. At present, she is working on Computable General Equilibrium models, Productivity and Efficiency analysis using Data Envelopment Approach and Stochastic Frontier Models and also on Applied Time Series Econometrics. She has presented research papers and chaired session at different international conferences and symposium; completed major projects funded by  DFID-UNCTAD-Government of India- Jadavpur University- Trade Research Capacity Building Program, Shastri -Indo-Canadian Institute, Calgary, Canada , UGC and ICSSR, among others, and have also supervised Ph.D. students. Her major research areas of interest are Econometrics, Macroeconomics, Economics of Social Sector and Regional Development.

About this book
This book assesses how efficient primary and upper primary education is across different states of India considering both output oriented and input oriented measures of technical efficiency.  It identifies the most important factors that could produce    differential efficiency among the states, including the effects of central grants, school-specific infrastructures, social indicators and policy variables, as well as state-specific factors like per-capita net-state-domestic-product from the service sector, inequality in distribution of income (Gini coefficient), the percentage of people living below the poverty line and the density of population. The study covers the period 2005-06  to 2010-11 and all the states and union territories of India, which are categorized into two separate groups, namely: (i) General Category States (GCS); and (ii) Special Category States (SCS) and Union Territories (UT). It uses non-parametric Data Envelopment Analysis (DEA) and obtains the Technology Closeness Ratio (TCR), measuring whether the maximum output producible from an input bundle by a school within a given group is as high as what could be produced if the school could choose to join the other group. The major departure of this book is its approach to estimating technical efficiency (TE), which does not use a single frontier encompassing all the states and UT, as is done in the available literature. Rather, this method assumes that GCS, SCS and UT are not homogeneous and operate under different fiscal and economic conditions.

Table of contents
  • The Background and the Motivation
  • An Overview of the Existing Literature and Its Linkages with the Present Book
  • The Output Oriented Measures of Technical Efficiency and Its Determinants in Primary and Upper Primary Level of Education in India
  • The Input Oriented Technical Efficiency and Its Determinants in Primary and Upper Primary Level of Education in India
  • The Summary and the Policy Suggestions

Series: SpringerBriefs in Economics
Paperback: 94 pages
Publisher: Springer; 1st ed. 2017 edition (October 6, 2016)
Language: English

About the series
SpringerBriefs present concise summaries of cutting-edge research and practical applications across a wide spectrum of fields. Featuring compact volumes of 50 to 125 pages, the series covers a range of content from professional to academic. Typical topics might include:
  • A timely report of state-of-the art analytical techniques
  • A bridge between new research results, as published in journal articles, and a contextual literature review
  • A snapshot of a hot or emerging topic
  • An in-depth case study or clinical example
  • A presentation of core concepts that students must understand in order to make independent contributions
SpringerBriefs in Economics showcase emerging theory, empirical research, and practical application in microeconomics, macroeconomics, economic policy, public finance, econometrics, regional science, and related fields, from a global author community.



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2018-10-19 19:37:52
Thanks a lot
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2019-9-16 20:25:28
谢谢分享
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2019-9-17 15:24:59
感谢分享
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2019-10-3 13:34:57
thank you  for sharing
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2020-1-12 08:45:22
谢谢分享
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