印度童工的空间分析

IF 1.4 Q2 SOCIAL WORK
Lokender Prashad, M. Dutta, B. Dash
{"title":"印度童工的空间分析","authors":"Lokender Prashad, M. Dutta, B. Dash","doi":"10.1108/JCS-06-2019-0032","DOIUrl":null,"url":null,"abstract":"\nPurpose\nThis study on spatial analysis of child labour in India is a macro level analysis on child labour using the census data, 2011 of Government of India. The population census which is conducted once in 10 years only provides district level data on work-force distribution. The study has spatial analysis of child labour in the age group of 5–14 years in India. To assess the magnitude of the children in the labour force, district level data of Census 2011 has been used in the study. The study has made an attempt to identify the districts where there is high level of children in the labour force. This paper aims to estimate the magnitude and trends of children’s workforce participation using the census data as it is the only data base, which is available at the district level since 1961 onwards. The study has made an attempt to identify the clustering of child labour across districts in India and how child labour is clustered by different background characteristics.\n\n\nDesign/methodology/approach\nThe study has used ArcGIS software package, GeoDa software and local indicator of spatial association test.\n\n\nFindings\nThe findings of study reveal that the proportion of rural, total fertility rate (TFR) and poverty headcount ratio is positively associated, whereas female literacy and the pupil-teacher ratio are negatively associated with child labour. It suggests that in the hot-spot areas and areas where there is a high prevalence of child labour, there is need to increase the teacher's number at the school level to improve the teacher-pupil ratio and also suggested to promote the female education, promote family planning practices to reduce TFR in those areas for reducing the incidences of child labour.\n\n\nResearch limitations/implications\nThe study also recommends that the incidences of child labour can be controlled by a comprehensive holistic action plan with the active participation of social workers.\n\n\nPractical implications\nThe promulgation of effective legislation, active involvement of judiciary and police, political will, effective poverty alleviation and income generation programmes, sensitisation of parents, corporates and media can play effective role in mitigating the incidences of child labour in India. To achieve the sustainable development goals (SDGs) adopted by world leaders in 2015 to eradicate child labour in all its forms by 2025.\n\n\nSocial implications\nThe study aims to achieve the SDGs adopted by world leaders in 2015 to eradicate child labour in all its forms by 2025.\n\n\nOriginality/value\nThe study is purely original and there are no such studies in Indian context by using the latest software.\n","PeriodicalId":45244,"journal":{"name":"Journal of Childrens Services","volume":" ","pages":""},"PeriodicalIF":1.4000,"publicationDate":"2021-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Spatial analysis of child labour in India\",\"authors\":\"Lokender Prashad, M. Dutta, B. Dash\",\"doi\":\"10.1108/JCS-06-2019-0032\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\nPurpose\\nThis study on spatial analysis of child labour in India is a macro level analysis on child labour using the census data, 2011 of Government of India. The population census which is conducted once in 10 years only provides district level data on work-force distribution. The study has spatial analysis of child labour in the age group of 5–14 years in India. To assess the magnitude of the children in the labour force, district level data of Census 2011 has been used in the study. The study has made an attempt to identify the districts where there is high level of children in the labour force. This paper aims to estimate the magnitude and trends of children’s workforce participation using the census data as it is the only data base, which is available at the district level since 1961 onwards. The study has made an attempt to identify the clustering of child labour across districts in India and how child labour is clustered by different background characteristics.\\n\\n\\nDesign/methodology/approach\\nThe study has used ArcGIS software package, GeoDa software and local indicator of spatial association test.\\n\\n\\nFindings\\nThe findings of study reveal that the proportion of rural, total fertility rate (TFR) and poverty headcount ratio is positively associated, whereas female literacy and the pupil-teacher ratio are negatively associated with child labour. It suggests that in the hot-spot areas and areas where there is a high prevalence of child labour, there is need to increase the teacher's number at the school level to improve the teacher-pupil ratio and also suggested to promote the female education, promote family planning practices to reduce TFR in those areas for reducing the incidences of child labour.\\n\\n\\nResearch limitations/implications\\nThe study also recommends that the incidences of child labour can be controlled by a comprehensive holistic action plan with the active participation of social workers.\\n\\n\\nPractical implications\\nThe promulgation of effective legislation, active involvement of judiciary and police, political will, effective poverty alleviation and income generation programmes, sensitisation of parents, corporates and media can play effective role in mitigating the incidences of child labour in India. To achieve the sustainable development goals (SDGs) adopted by world leaders in 2015 to eradicate child labour in all its forms by 2025.\\n\\n\\nSocial implications\\nThe study aims to achieve the SDGs adopted by world leaders in 2015 to eradicate child labour in all its forms by 2025.\\n\\n\\nOriginality/value\\nThe study is purely original and there are no such studies in Indian context by using the latest software.\\n\",\"PeriodicalId\":45244,\"journal\":{\"name\":\"Journal of Childrens Services\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2021-05-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Childrens Services\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/JCS-06-2019-0032\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"SOCIAL WORK\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Childrens Services","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/JCS-06-2019-0032","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"SOCIAL WORK","Score":null,"Total":0}
引用次数: 1

摘要

目的这项关于印度童工空间分析的研究是利用印度政府2011年人口普查数据对童工进行的宏观层面分析。人口普查每10年进行一次,只提供地区一级的劳动力分布数据。该研究对印度5-14岁年龄组的童工进行了空间分析。为了评估劳动力中儿童的数量,研究中使用了2011年人口普查的地区级数据。这项研究试图确定劳动力中儿童比例较高的地区。本文旨在使用人口普查数据来估计儿童劳动力参与的规模和趋势,因为这是自1961年以来在地区一级可用的唯一数据库。这项研究试图确定印度各地区童工的聚集性,以及不同背景特征如何将童工聚集在一起。设计/方法/方法本研究使用了ArcGIS软件包、GeoDa软件和空间关联局部指标测试。研究结果表明,农村人口比例、总生育率和贫困人口比例呈正相关,而女性识字率和师生比例与童工呈负相关。它建议,在热点地区和童工率高的地区,有必要增加学校一级的教师人数,以提高师生比例,还建议促进女性教育,推广计划生育做法,以降低这些地区的TFR,从而减少童工的发生率。研究局限性/影响研究还建议,在社会工作者的积极参与下,可以通过全面的整体行动计划来控制童工的发生率。实际意义颁布有效的立法、司法和警察的积极参与、政治意愿、有效的扶贫和创收方案、父母、企业和媒体的宣传,可以在减少印度童工现象方面发挥有效作用。实现世界领导人2015年通过的到2025年消除一切形式童工的可持续发展目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatial analysis of child labour in India
Purpose This study on spatial analysis of child labour in India is a macro level analysis on child labour using the census data, 2011 of Government of India. The population census which is conducted once in 10 years only provides district level data on work-force distribution. The study has spatial analysis of child labour in the age group of 5–14 years in India. To assess the magnitude of the children in the labour force, district level data of Census 2011 has been used in the study. The study has made an attempt to identify the districts where there is high level of children in the labour force. This paper aims to estimate the magnitude and trends of children’s workforce participation using the census data as it is the only data base, which is available at the district level since 1961 onwards. The study has made an attempt to identify the clustering of child labour across districts in India and how child labour is clustered by different background characteristics. Design/methodology/approach The study has used ArcGIS software package, GeoDa software and local indicator of spatial association test. Findings The findings of study reveal that the proportion of rural, total fertility rate (TFR) and poverty headcount ratio is positively associated, whereas female literacy and the pupil-teacher ratio are negatively associated with child labour. It suggests that in the hot-spot areas and areas where there is a high prevalence of child labour, there is need to increase the teacher's number at the school level to improve the teacher-pupil ratio and also suggested to promote the female education, promote family planning practices to reduce TFR in those areas for reducing the incidences of child labour. Research limitations/implications The study also recommends that the incidences of child labour can be controlled by a comprehensive holistic action plan with the active participation of social workers. Practical implications The promulgation of effective legislation, active involvement of judiciary and police, political will, effective poverty alleviation and income generation programmes, sensitisation of parents, corporates and media can play effective role in mitigating the incidences of child labour in India. To achieve the sustainable development goals (SDGs) adopted by world leaders in 2015 to eradicate child labour in all its forms by 2025. Social implications The study aims to achieve the SDGs adopted by world leaders in 2015 to eradicate child labour in all its forms by 2025. Originality/value The study is purely original and there are no such studies in Indian context by using the latest software.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
2.90
自引率
0.00%
发文量
14
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信