2020
DOI: 10.3390/su12208610
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Measuring Intra-Urban Inequality with Structural Equation Modeling: A Theory-Grounded Indicator

Abstract: Composite indicators are almost always determined by methods that aggregate a reasonable number of manifest variables that can be weighted—or not—as new synthesis variables. A problem arises when these aggregations and weightings do not capture the possible effects that the various underlying dimensions of the phenomenon have on each other, and consequently distort the assessment of intra-urban inequality. In this paper, we explore the direct and indirect effects that the different underlying dimensions of int… Show more

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Cited by 17 publications
(13 citation statements)
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“…-the living conditions of the population [26,27]; -health, and social well-being [28]; -the levels of technology and innovation [28][29][30]; -environmental sustainability [31]. Of course, composite indicators have also been widely used in the economic area to represent:…”
Section: Methods Of Researchmentioning
confidence: 99%
“…-the living conditions of the population [26,27]; -health, and social well-being [28]; -the levels of technology and innovation [28][29][30]; -environmental sustainability [31]. Of course, composite indicators have also been widely used in the economic area to represent:…”
Section: Methods Of Researchmentioning
confidence: 99%
“…The route for sustainability can be achieved step by step by completing seven phases as shown in Figure 3. The journey begins with formulating the sustainability goals as an addressal to various issues due to the environmental, economic, and social impacts of the manufacturing units through the involvement of management and stakeholders (Libório et al, 2020). Depending upon the priorities, suitable indicators must be identified from the indicator repository that can suitably analyze the impact of various manufacturing operations and products through its complete life cycle.…”
Section: Future Goals For Implementation Of Sustainable Manufacturing Metricsmentioning
confidence: 99%
“…The structural equation modeling (SEM) is an extension of the general linear model (GLM) that combines a verification factorial analysis with a coupled equation system to verify multiple interrelationships between variables [ 15 ]. Modelling analysis includes validation analysis and exploratory analysis.…”
Section: Introductionmentioning
confidence: 99%