Dynamic measurement of complex phenomena in assessing the Europe 2020 strategy effects

Müller-Frączek, Iwona

doi:10.15196/rs090107

Reg. Stat.

2019

DOI: 10.15196/rs090107

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Dynamic measurement of complex phenomena in assessing the Europe 2020 strategy effects

Iwona Müller-Frączek¹

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Cited by 3 publications

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“…In a dynamic approach, however, the maximum and minimum values for all objects and all-time units are selected, and the values of the normalized variables still go beyond the interval [0, 1]. [42]. 4.…”

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confidence: 99%

Analyzing Spatiotemporal Development of Organic Farming in Poland

Antczak¹

2021

Sustainability

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Organic farming is one of the most widely known sustainable models of agricultural production. Success in eco-agriculture also depends greatly on agri-environmental, territorial, economic, social, institutional and spatial conditions. Polish eco-farming is very regionally dispersed and diversified. Regarding the important contribution of organic farming, a better understanding of how this phenomenon develops and which factors affect its spatial distribution can be influential for policymakers in planning strategies that pursue sustainable development objectives in rural areas. This paper assesses the development and analyses the spatial distribution of organic farming in Polish LAU-2. The country’s eco-agriculture was mapped and defined using a synthetic measure, described by 27 sub-measurements of ecological crop cultivation, animal maintenance and eco-production. The local spatial patterns (direction, scale, and range) of organic farming were detected by spatial autocorrelation measurements. The analysis was conducted for the period 2014–2020. Possible external and internal determinants of this spatial dispersion were also defined. The results indicate that the distribution and spread of organic farming in Poland are related to public support, institutional regulations, social considerations, environmental concerns, the local job market and spatial dependencies.

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confidence: 99%

Analyzing Spatiotemporal Development of Organic Farming in Poland

Antczak¹

2021

Sustainability

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Subjective–Objective Method of Maximizing the Average Variance Extracted From Sub-indicators in Composite Indicators

Libório,

Diniz,

Vieira

et al. 2024

Soc Indic Res

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A Decision Framework for Identifying Methods to Construct Stable Composite Indicators That Capture the Concept of Multidimensional Social Phenomena: The Case of Social Exclusion

et al. 2023

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This research proposes a decision framework that allows for the identification of the most suitable methods to construct stable composite indicators that capture the concept of multidimensional social phenomena. This decision framework is applied to discover which method among six best represents the social exclusion of eight medium-sized Brazilian cities. The results indicate that space is important in the definition and performance of the method, and ease methods to apply present the best performance. However, one of them fails to capture the concept of the multidimensional phenomenon in two cities. The research makes six important contributions to the literature. First, it offers a decision framework for choosing the best-fit method to construct a composite social indicator. Second, it shows to what extent geographic space matters in defining the best-fit method. Third, it identifies the best-fit method regarding stability and linkage with the conceptually most significant indicator of social exclusion. Fourth, it reveals the methods to be avoided, given their poor performance. Fifth, it indicates the mathematical properties that best represent composite social phenomena. Sixth, it illuminates the debate on social exclusion from a geographical and public policy perspective.

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Dynamic measurement of complex phenomena in assessing the Europe 2020 strategy effects

Cited by 3 publications

References 11 publications

Analyzing Spatiotemporal Development of Organic Farming in Poland

Analyzing Spatiotemporal Development of Organic Farming in Poland

Subjective–Objective Method of Maximizing the Average Variance Extracted From Sub-indicators in Composite Indicators

A Decision Framework for Identifying Methods to Construct Stable Composite Indicators That Capture the Concept of Multidimensional Social Phenomena: The Case of Social Exclusion

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