Design and validation of a tax sustainability index

Janová, Jitka; Hampel, David; Nerudová, Danuše

doi:10.1016/j.ejor.2019.05.003

Cited by 13 publications

(10 citation statements)

References 43 publications

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“…1.5). Verification and validation of the suggested index is carried out to prove the robustness of the model (Janová et al, 2019;cf. 1.6).…”

Section: Data Sources and Methodsmentioning

confidence: 99%

From Quality to Quantity: How Can Digital Sovereignty be Parsed into Measurable Components?

Kaloudis¹

2022

EJOBSAT

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The use of digital technologies for state-relevant institutions, government organisations and administrations has grown steadily in recent decades. Therefore, the question arises whether the mastery of these technologies has an influence on a state's ability to act and whether state sovereignty is affected. In the European Union, the concept of digital sovereignty of states is being intensively discussed. However, it is unclear what exactly is meant by the term digital sovereignty and how it can be defined. The research gap is the lack of a clear qualitative and quantitative definition of that term, so that the goal of the article is to provide an overview of a qualitative definition. That is the basis for a quantiative model. To achive that goal a hierarchical component model is developed for concretisation. Furthermore, the components are decomposed into subcomponents, each of which is then quantified by suitable metric parameters, which are populated from secondary data sources for states and subjected to selected quantitative analyses. To verify and validate whether the component model and the parameters are suitable and robust for measuring digital sovereignty, a comparative index is formed and compared with existing indices.

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“…1.5). Verification and validation of the suggested index is carried out to prove the robustness of the model (Janová et al, 2019;cf. 1.6).…”

Section: Data Sources and Methodsmentioning

confidence: 99%

From Quality to Quantity: How Can Digital Sovereignty be Parsed into Measurable Components?

Kaloudis¹

2022

EJOBSAT

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“…Indexes have a crucial role, functioning not only as descriptive tools but also as aids that can impact significant policies. Even if the proposed index is based on a statistical procedure that benefits intrinsically from the assessment of its goodness of fit, we rigorously verify the index construction, employing simulations to perform a sensitivity analysis of the latent construct (Grimaccia et al, 2023; Janováa et al, 2019; Ozenne et al, 2022).…”

Section: Validation Of the Sem‐based Air Pollution Indexmentioning

confidence: 99%

Structural equation models for simultaneous modeling of air pollutants

Bottazzi Schenone,

Grimaccia,

Vichi

2024

Environmetrics

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This paper provides a new modeling for air pollution, simultaneously taking into account the six main pollutants (PM10 and PM2.5, Sulphate Dioxide, Nitrogen Dioxide, Carbon Monoxide, ground level Ozone concentrations) and their key determinants, employing Structural Equation Models (SEMs). The model is able to estimate the complex links among air pollutants, often neglected in literature, and identifies specific drivers of air pollution. In literature, indexes of air pollution achieved using a fully statistical methodology have not been proposed yet. Indeed, an added value of this proposal is the statistical procedure itself, which can be applied also to obtain indexes modeling different phenomena. In particular, in this study, the new Air Pollution Index (API) is based on a modeling approach that allows to assess, through statistical criteria, the goodness of fit of the SEM in modeling pollutants and the significance of their determinants. The performance of the new index is assessed using air quality data for municipal European areas, which are characterized by different socioeconomic, geographical, and meteorological features. SEMs are estimated and evaluated in terms of best fit and model complexity. The index resulting by the best SEM is compared with the well‐established Air Quality Index (AQI). The new API is validated by means of a sensitivity analysis, performed with a simulation study. Finally, to visualize the meaningfulness of the obtained results, a model‐based cluster analysis is estimated on the municipal areas. The proposed SEM contributes to a better understanding of the relationships between air pollutants and their determinants, and this knowledge can inform policy decisions aimed at reducing air pollution and improving public health.

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“…the lack of data. Criteria for other new approaches only consider narrow areas, such as energy use, business impact, pavement change, and so on (Cimen, 2019;Janova et al, 2019;Rosa et al, 2019;Shah et al, 2019). There is also little assessment of sustainable development and even less of environmental engineering.…”

Section: Wimentioning

confidence: 99%

“…As it was mentioned, another indices consider only narrow areas (Cimen, 2019;Janova et al, 2019;Rosa et al, 2019;Shah et al, 2019) and they do not highlight anthropogenic load on land. The multi-criteria decision support methods are very popular and widely used in new researches (Bunyan & Yalpir, 2019;Cai et al, 2019;Oudenhoven et al, 2019).…”

Section: Wimentioning

confidence: 99%

Index of Anthropogenic Load on Land (Alol) as Decision Support Method in Territorial Planning

Gaudėšius

2020

Journal of Environmental Engineering and Landscape Management

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Not all international indexes of sustainability can be easily applied to Lithuanian specialists who organize territorial planning documents. Therefore, the index assessing the anthropogenic impact can be applied in spatial planning documents is required. The proposed method is beneficial in a way that it is based on the available free statistics data. Not only land use changes can be assessed by using presented ALOL index, but also newly presented spatial planning documents. The anthropogenic load on the land index have been calculated and the comparison with another popular multi-criteria decision support methods was conducted in this study. The results showed that the value of the anthropogenic load index is deteriorating in one of the Lithuanian metropolitan areas and the proposed method does not let others down with the precision for other mathematical methods.

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Design and validation of a tax sustainability index

Cited by 13 publications

References 43 publications

From Quality to Quantity: How Can Digital Sovereignty be Parsed into Measurable Components?

From Quality to Quantity: How Can Digital Sovereignty be Parsed into Measurable Components?

Structural equation models for simultaneous modeling of air pollutants

Index of Anthropogenic Load on Land (Alol) as Decision Support Method in Territorial Planning

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