Titlebook: Efficiency of Elementary Education in India; Empirical Evidence U Arpita Ghose Book 2017 The Author(s) 2017 Data Envelopment Analysis.Intpu

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Denken und Erkennen im kybernetischen Modellimproved. Input-underutilization is highest for SPLP for three categories/levels and for TQ for one; is lowest for PTR for one category/level and TQ for three. The determinants vary across category/level, highlighting role of policy, infrastructure, social-indicator, state-specific variables and reg

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https://doi.org/10.1007/978-3-7091-3391-0 school with drinking water facility, SC teacher, (iii) State’s service sectors income, population-density and by reducing (i) without-building school, (ii) inequality of income-distribution. OUTTE can further be stimulated by increasing percentage of (i) schools getting school-development-grant, ha

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Book 2017itories (UT). It uses non-parametric Data Envelopment Analysis (DEA) andobtains 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 othe

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An Overview of the Existing Literature and Its Linkages with the Present Book, different studies of technical efficiency on education sector around the globe on school and higher education along with the relevant studies for the Indian economy. The connection between the existing literature on the technical efficiency of education sector and the book is highlighted.

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