{"title":"印度各邦政府的初等教育成果效率:广义随机前沿方法","authors":"Jyotsna Rosario, K.R. Shanmugam","doi":"10.1108/jes-11-2023-0649","DOIUrl":null,"url":null,"abstract":"<h3>Purpose</h3>\n<p>This paper aims to analyze the technical efficiency of Indian State governments in providing elementary education (EE) and to identify the determinants of their technical inefficiency.</p><!--/ Abstract__block -->\n<h3>Design/methodology/approach</h3>\n<p>The Generalized Stochastic Frontier Approach (GSFA) is used in the context of the Inefficiency Effects Model to simultaneously estimate the frontier production function and the technical inefficiency model. Panel data of 28 Indian States from 2009–10 to 2018–19 is used.</p><!--/ Abstract__block -->\n<h3>Findings</h3>\n<p>The mean efficiency of States stands at 86%. Efficiency varied between 67 and 97%. 96% of the inter-state disparity in EE outcomes can be explained by inefficiency. Arunachal Pradesh is the least efficient State, followed by Sikkim and Tripura. Efficiency estimates were observed to change across States over the study period. Proportion of government schools, rural population, and proportion of Schedule Caste and Schedule Tribe children are the major determinants of inefficiency.</p><!--/ Abstract__block -->\n<h3>Practical implications</h3>\n<p>This study emphasizes that efficient resource management is as important as adequate resource allocation for achieving positive EE outcomes. It distinguishes resource-poor States from inefficient ones, providing insights to enhance States’ efficiency, and aiding policymakers in formulating strategies for ensuring equitable and quality EE.</p><!--/ Abstract__block -->\n<h3>Originality/value</h3>\n<p>This is the first paper to apply GSFA (for Indian States), providing a more robust estimation of efficiency. The Inefficiency Effects Model is employed that address the limitations inherent in the two-stage approach.</p><!--/ Abstract__block -->","PeriodicalId":47604,"journal":{"name":"JOURNAL OF ECONOMIC STUDIES","volume":null,"pages":null},"PeriodicalIF":1.9000,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Elementary education outcome efficiency of Indian state governments: a generalized stochastic frontier approach\",\"authors\":\"Jyotsna Rosario, K.R. Shanmugam\",\"doi\":\"10.1108/jes-11-2023-0649\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<h3>Purpose</h3>\\n<p>This paper aims to analyze the technical efficiency of Indian State governments in providing elementary education (EE) and to identify the determinants of their technical inefficiency.</p><!--/ Abstract__block -->\\n<h3>Design/methodology/approach</h3>\\n<p>The Generalized Stochastic Frontier Approach (GSFA) is used in the context of the Inefficiency Effects Model to simultaneously estimate the frontier production function and the technical inefficiency model. Panel data of 28 Indian States from 2009–10 to 2018–19 is used.</p><!--/ Abstract__block -->\\n<h3>Findings</h3>\\n<p>The mean efficiency of States stands at 86%. Efficiency varied between 67 and 97%. 96% of the inter-state disparity in EE outcomes can be explained by inefficiency. Arunachal Pradesh is the least efficient State, followed by Sikkim and Tripura. Efficiency estimates were observed to change across States over the study period. Proportion of government schools, rural population, and proportion of Schedule Caste and Schedule Tribe children are the major determinants of inefficiency.</p><!--/ Abstract__block -->\\n<h3>Practical implications</h3>\\n<p>This study emphasizes that efficient resource management is as important as adequate resource allocation for achieving positive EE outcomes. It distinguishes resource-poor States from inefficient ones, providing insights to enhance States’ efficiency, and aiding policymakers in formulating strategies for ensuring equitable and quality EE.</p><!--/ Abstract__block -->\\n<h3>Originality/value</h3>\\n<p>This is the first paper to apply GSFA (for Indian States), providing a more robust estimation of efficiency. 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Elementary education outcome efficiency of Indian state governments: a generalized stochastic frontier approach
Purpose
This paper aims to analyze the technical efficiency of Indian State governments in providing elementary education (EE) and to identify the determinants of their technical inefficiency.
Design/methodology/approach
The Generalized Stochastic Frontier Approach (GSFA) is used in the context of the Inefficiency Effects Model to simultaneously estimate the frontier production function and the technical inefficiency model. Panel data of 28 Indian States from 2009–10 to 2018–19 is used.
Findings
The mean efficiency of States stands at 86%. Efficiency varied between 67 and 97%. 96% of the inter-state disparity in EE outcomes can be explained by inefficiency. Arunachal Pradesh is the least efficient State, followed by Sikkim and Tripura. Efficiency estimates were observed to change across States over the study period. Proportion of government schools, rural population, and proportion of Schedule Caste and Schedule Tribe children are the major determinants of inefficiency.
Practical implications
This study emphasizes that efficient resource management is as important as adequate resource allocation for achieving positive EE outcomes. It distinguishes resource-poor States from inefficient ones, providing insights to enhance States’ efficiency, and aiding policymakers in formulating strategies for ensuring equitable and quality EE.
Originality/value
This is the first paper to apply GSFA (for Indian States), providing a more robust estimation of efficiency. The Inefficiency Effects Model is employed that address the limitations inherent in the two-stage approach.
期刊介绍:
The Journal of Economic Studies publishes high quality research findings and commentary on international developments in economics. The journal maintains a sound balance between economic theory and application at both the micro and the macro levels. Articles on economic issues between individual nations, emerging and evolving trading blocs are particularly welcomed. Contributors are encouraged to spell out the practical implications of their work for economists in government and industry