Sustainable Development Goals Indicators at Territorial Level: Conceptual and Methodological Issues—The Italian Perspective

被引:0
作者
Leonardo S. Alaimo
Filomena Maggino
机构
[1] Sapienza University of Rome,
来源
Social Indicators Research | 2020年 / 147卷
关键词
Sustainable development; Italian regions; Composite indicators; Repeated measures correlation analysis; AMPI; Aggregation-through-compensation fallacy;
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中图分类号
学科分类号
摘要
The 2030 Agenda for Sustainable Development (2015) can be considered the synthesis of a debate, which sets the sustainable development as a priority for the International Community. The achievement of the sustainable development goals has made necessary to develop a system of indicators. Indicators and data should be collected and reported sub-nationally, giving attention to the territory. This is a necessity even more for Italy, a country historically characterized by strong regional specificities and differences, which find their radicalization in the so-called North–South gap. In this paper, we want to examine and monitor the Italian situation as to the achievement of the SDGs, based on the analysis of the Regions, to highlight potential differences or territorial homogeneity. In particular, we want to emphasize not only how there is actually a gap between the North and the South of the country, but also how the synthesis tends often to be representative of situations profoundly different from each other, as a result of different values in the basic indicators, or similar situations between them. Due to the difficulty of reporting on a paper a detailed analysis of all 17 sustainable development goals, we focus only on the first three goals one. In particular, for each goal we select indicators all useful for the analysis of regional realities and appropriate some for monitoring the present condition, others for providing information on the future one (risk). The research methodology is to use the Adjusted Mazziotta–Pareto Index for creating a composite index for each goal considered. This analysis is preceded by an exploratory analysis of the basic indicators over time through the use of within and between correlations and the average PCA.
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页码:383 / 419
页数:36
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共 70 条
[1]  
Aguirre-Urreta MI(2016)Omission of causal indicators: Consequences and implications for measurement Measurement: Interdisciplinary Research and Perspectives 14 75-97
[2]  
Rönkkö M(2007)Sustainable development in Thailand: Lessons from implementing local agenda 21 in three cities The Journal of Environment & Development 16 269-289
[3]  
Marakas GM(2007)On the meaning of formative measurement and how it differs from reflective measurement: Comment on Howell, Breivik and Wilcox (2007) Psychological Methods 12 229-237
[4]  
Aki T(2017)Repeated measures correlation Frontiers in Psychology 8 1-13
[5]  
Akihisa M(2017)Weights and importance in composite indicators: Closing the gap Ecological Indicators 80 12-22
[6]  
Bagozzi RP(1995)Calculating correlation coefficients with repeated observations: Part 1. Correlation within subjects BMJ 310 446-8
[7]  
Bakdash JZ(1995)Calculating correlation coefficients with repeated observations: Part 1. Correlation between subjects BMJ 310 633-228
[8]  
Marusich LR(2007)Measuring the immeasurable: A survey of sustainability indices Ecological Economics 63 1-596
[9]  
Becker W(2007)Interpretational confounding is due to misspecification, not to type of indicator: Comment on Howell, Breivik and Wilcox (2007) Psychological Methods 12 219-329
[10]  
Saisana M(2017)In defense of causal-formative indicators: A minority report Psychological Methods 22 581-78