探索童工及其相关因素的空间非平稳性:印度多尺度地理加权回归研究

IF 4 2区 地球科学 Q1 GEOGRAPHY
Tom Cunningham , Wendy Olsen , Nuno Pinto
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引用次数: 0

摘要

文献中对各种因素与童工之间的关系进行了探讨,但尽管研究结果表明,童工的预测因素可能因环境而异,但很少有研究使用空间分析方法或试图估算协变量与童工发生率之间的地方关系。本文试图利用地理加权回归(GWR)和多尺度地理加权回归(MGWR)模型来填补这一知识空白。以印度 2011 年人口普查数据为例,研究结果表明,在印度全国范围内,GWR 和 MGWR 模型的表现均明显优于全局回归模型。研究还发现,童工与其协变量之间的关系存在明显的空间非平稳性,在印度不同地区,地区级童工率与穆斯林人口和儿童性别比之间的关系方向相反。通过使用 MGWR,还可以证明不同的协变量在不同的空间尺度上与童工现象相互影响,这表明旨在解决童工问题不同方面的干预措施可能需要在不同的行政级别上进行部署,以最大限度地发挥其功效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring spatial non-stationarity of child labour and its related factors: A multiscale geographically weighted regression study of India

The relationships between various factors and child labour have been explored in the literature but, despite findings that suggest the predictive factors of child labour can vary according to context, there has been little research that has used spatial methods of analysis or attempted to estimate local relationships between covariates and the prevalence of child labour. This paper seeks to address this knowledge gap by using geographically weighted regression (GWR) and multiscale geographically weighted regression (MGWR) models. Using India 2011 Census Data as a case study, the findings show that GWR and MGWR models both perform significantly better than a global regression model across the whole of India. The study also finds significant spatial non-stationarity in the relationships between child labour and its covariates, with the association between district-level child labour rates and both the Muslim population and the child sex ratio found to have opposite directions in different parts of the country. Using MGWR, it was also possible to demonstrate that different covariates interact with child labour at various spatial scales, suggesting that interventions aiming to address varying aspects of the child labour problem may need to be deployed at different administrative levels to maximise their efficacy.

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来源期刊
Applied Geography
Applied Geography GEOGRAPHY-
CiteScore
8.00
自引率
2.00%
发文量
134
期刊介绍: Applied Geography is a journal devoted to the publication of research which utilizes geographic approaches (human, physical, nature-society and GIScience) to resolve human problems that have a spatial dimension. These problems may be related to the assessment, management and allocation of the world physical and/or human resources. The underlying rationale of the journal is that only through a clear understanding of the relevant societal, physical, and coupled natural-humans systems can we resolve such problems. Papers are invited on any theme involving the application of geographical theory and methodology in the resolution of human problems.
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