{"title":"印度初等教育学习成绩和效率的空间方面","authors":"Mallika Sinha, Rama Pal","doi":"10.1007/s12061-024-09617-3","DOIUrl":null,"url":null,"abstract":"<div><p>Given the unequal distribution of educational opportunities across regions, it is insightful to identify spatial clusters in learning performance and investigate how far the regions are from tapping their full potential of educational resources. This paper explores the spatial aspects of learning performance and estimates the technical efficiency of the primary education system of Indian districts using the spatial stochastic frontier analysis. Specifically, we investigate the effect of spatial associations between districts on primary educational efficiency in achieving better learning outcomes. Also, the study examines the regional patterns in efficiency and learning. We find evidence of spatial clustering of learning. Although the mean technical efficiency is 90 per cent, the findings demonstrate substantial regional disparities in India, with efficiency levels ranging from 68 to 97 per cent. Our results suggest that efficient districts can improve learning outcomes from extra inputs, while better utilization of existing inputs may enhance learning for the relatively inefficient districts. Thus, policy formulation needs to align with the specific shortcomings and needs of the districts.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 1","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Spatial Aspects of Learning Performance and Efficiency of Primary Education in India\",\"authors\":\"Mallika Sinha, Rama Pal\",\"doi\":\"10.1007/s12061-024-09617-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Given the unequal distribution of educational opportunities across regions, it is insightful to identify spatial clusters in learning performance and investigate how far the regions are from tapping their full potential of educational resources. This paper explores the spatial aspects of learning performance and estimates the technical efficiency of the primary education system of Indian districts using the spatial stochastic frontier analysis. Specifically, we investigate the effect of spatial associations between districts on primary educational efficiency in achieving better learning outcomes. Also, the study examines the regional patterns in efficiency and learning. We find evidence of spatial clustering of learning. Although the mean technical efficiency is 90 per cent, the findings demonstrate substantial regional disparities in India, with efficiency levels ranging from 68 to 97 per cent. Our results suggest that efficient districts can improve learning outcomes from extra inputs, while better utilization of existing inputs may enhance learning for the relatively inefficient districts. Thus, policy formulation needs to align with the specific shortcomings and needs of the districts.</p></div>\",\"PeriodicalId\":46392,\"journal\":{\"name\":\"Applied Spatial Analysis and Policy\",\"volume\":\"18 1\",\"pages\":\"\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2024-11-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Spatial Analysis and Policy\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s12061-024-09617-3\",\"RegionNum\":4,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENVIRONMENTAL STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Spatial Analysis and Policy","FirstCategoryId":"90","ListUrlMain":"https://link.springer.com/article/10.1007/s12061-024-09617-3","RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
Spatial Aspects of Learning Performance and Efficiency of Primary Education in India
Given the unequal distribution of educational opportunities across regions, it is insightful to identify spatial clusters in learning performance and investigate how far the regions are from tapping their full potential of educational resources. This paper explores the spatial aspects of learning performance and estimates the technical efficiency of the primary education system of Indian districts using the spatial stochastic frontier analysis. Specifically, we investigate the effect of spatial associations between districts on primary educational efficiency in achieving better learning outcomes. Also, the study examines the regional patterns in efficiency and learning. We find evidence of spatial clustering of learning. Although the mean technical efficiency is 90 per cent, the findings demonstrate substantial regional disparities in India, with efficiency levels ranging from 68 to 97 per cent. Our results suggest that efficient districts can improve learning outcomes from extra inputs, while better utilization of existing inputs may enhance learning for the relatively inefficient districts. Thus, policy formulation needs to align with the specific shortcomings and needs of the districts.
期刊介绍：
Description
The journal has an applied focus: it actively promotes the importance of geographical research in real world settings
It is policy-relevant: it seeks both a readership and contributions from practitioners as well as academics
The substantive foundation is spatial analysis: the use of quantitative techniques to identify patterns and processes within geographic environments
The combination of these points, which are fully reflected in the naming of the journal, establishes a unique position in the marketplace.
RationaleA geographical perspective has always been crucial to the understanding of the social and physical organisation of the world around us. The techniques of spatial analysis provide a powerful means for the assembly and interpretation of evidence, and thus to address critical questions about issues such as crime and deprivation, immigration and demographic restructuring, retailing activity and employment change, resource management and environmental improvement. Many of these issues are equally important to academic research as they are to policy makers and Applied Spatial Analysis and Policy aims to close the gap between these two perspectives by providing a forum for discussion of applied research in a range of different contexts
Topical and interdisciplinaryIncreasingly government organisations, administrative agencies and private businesses are requiring research to support their ‘evidence-based’ strategies or policies. Geographical location is critical in much of this work which extends across a wide range of disciplines including demography, actuarial sciences, statistics, public sector planning, business planning, economics, epidemiology, sociology, social policy, health research, environmental management.
FocusApplied Spatial Analysis and Policy will draw on applied research from diverse problem domains, such as transport, policing, education, health, environment and leisure, in different international contexts. The journal will therefore provide insights into the variations in phenomena that exist across space, it will provide evidence for comparative policy analysis between domains and between locations, and stimulate ideas about the translation of spatial analysis methods and techniques across varied policy contexts. It is essential to know how to measure, monitor and understand spatial distributions, many of which have implications for those with responsibility to plan and enhance the society and the environment in which we all exist.
Readership and Editorial BoardAs a journal focused on applications of methods of spatial analysis, Applied Spatial Analysis and Policy will be of interest to scholars and students in a wide range of academic fields, to practitioners in government and administrative agencies and to consultants in private sector organisations. The Editorial Board reflects the international and multidisciplinary nature of the journal.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
