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03604nam a22004815i 4500 |
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20161006092631.0 |
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|a 9788132236610
|9 978-81-322-3661-0
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|a 10.1007/978-81-322-3661-0
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|a Ghose, Arpita.
|e author.
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|a Efficiency of Elementary Education in India
|h [electronic resource] :
|b Empirical Evidence Using a Nonparametric Data Envelopment Approach /
|c by Arpita Ghose.
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|a New Delhi :
|b Springer India :
|b Imprint: Springer,
|c 2017.
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|a XIII, 94 p. 3 illus.
|b online resource.
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|a text
|b txt
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|a computer
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|a online resource
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|a text file
|b PDF
|2 rda
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|a SpringerBriefs in Economics,
|x 2191-5504
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|a Chapter 1: The background and motivation -- Chapter 2: An overview of the existing literature -- Chapter 3: The output-oriented measures of technical efficiency and its determinants in primary and upper-primary level of education in India -- Chapter 4: The input-oriented measures of technical efficiency and its determinants in primary and upper primary levels of education in India -- Chapter 5: Summary/ policy suggestions.
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|a 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.
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|a Educational policy.
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|a ducation and state.
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|a Econometrics.
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|a Development economics.
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|a Economics.
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|a Development Economics.
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|a Educational Policy and Politics.
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|a Econometrics.
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9788132236597
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| 830 |
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|a SpringerBriefs in Economics,
|x 2191-5504
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| 856 |
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|u http://dx.doi.org/10.1007/978-81-322-3661-0
|z Full Text via HEAL-Link
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| 912 |
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|a ZDB-2-ECF
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| 950 |
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|a Economics and Finance (Springer-41170)
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