Neighborhoods in Development: Human Development Index and Self-organizing Maps

Rende, Sevinc; Donduran, Murat

doi:10.1007/s11205-011-9955-x

Cited by 16 publications

(8 citation statements)

References 44 publications

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“…In this sense, neighborhood context can also be interpreted by citizens' social behaviors and self-perception of place [49][50][51]. Previous research has also demonstrated significant associations between objective neighborhood and individuals' perceptions of health and quality of life [20,[52][53][54][55]. This point of neighborhood identification thus provides a possibility to validate the meaning of a neighborhood; it also leads to the requirement of multilevel modeling to examine the feasibility of newly designed neighborhoods versus original census blocks for understanding citizens' attitudes and experiences of neighborhood identity [47,55].…”

Section: Study Areamentioning

confidence: 99%

A New Look at Public Services Inequality: The Consistency of Neighborhood Context and Citizens’ Perception across Multiple Scales

Wei

Cabrera-Barona

Blaschke

2017

IJGI

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A challenge in regional inequality is to identify the relative influence of objective neighborhood context on subjective citizens' attitudes and experiences of place. This paper first presents six groups of hierarchal neighborhoods in optimizing public service inequality (PSI) indicators based on census blocks collected in Quito, Ecuador. Multilevel models were then applied to understand the relative influence of neighborhood-level PSI on citizens' perceptions of place, including individual-level perceptions of neighborhood social cohesion and neighborhood safety, and self-perceived health status. Our results show that the internal variability of the individual perceptions that is explained by neighborhood context is strongly influenced by the scale of neighborhood units. A spatial consistency between objective neighborhood context and subjective individual perception of place plays a crucial role in propagating mixed-methods approaches (qualitative-quantitative) and improves the spatial interpretation of public services inequality. Neighborhood context and citizens' perception of place should be integrated to investigate urban segregation, thereby providing insights into the underlying societal inequality phenomenon and quality of life.

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Section: Study Areamentioning

confidence: 99%

A New Look at Public Services Inequality: The Consistency of Neighborhood Context and Citizens’ Perception across Multiple Scales

Wei

Cabrera-Barona

Blaschke

2017

IJGI

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“…In this line of thinking, HDI, which is a composite index of specific socio-economic indicators, is used as evaluation criteria of emerging economies in this study. As Rende and Donduran (2013) indicated, HDI has been instrumental in broadening the discussion of economic development of countries in terms of the well-being of their citizens. HDI combines social and economic indicators that reflect three major dimensions of human development namely longevity, educational attainment and income.…”

Section: Human Development Indexmentioning

confidence: 99%

Emerging Economies: Comparative Analysis of Mist and Ibsa Countries

Gök¹,

Gök²

2016

EJSS

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Post Second World War liberal economic order and its institutions have been challenged with the rapidly growing powerful economies of some Asian and Latin American countries in the last decade. Yet, there is ambiguity in international political economy field with regard to conceptualizing and categorizing these emerging economies. This study mainly aims to ravel out this obstacle by offering a new quantitative benchmarking framework. In other words, this study proposes a new evaluation criteria set for assessing emerging economies with combining testable domestic and systematic factors. Accordingly, this study presents the cross-country comparison by using quantitative benchmarking analysis between IBSA -India, Brazil and South Africa-and MIST -Mexico, Indonesia, South Korea and Turkey-countries over the period 2008-2012. We compare these countries based on the criteria of economic growth, human development index, foreign direct investment, and official development assistance. This study also aims to evaluate the group performance of these newly emerging economies-namely the rise of IBSA and MIST countries-in a comparative perspective. In conclusion, the performance of these countries -from both group-of-country and individual-country perspectives-are discussed in light of the results.

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“…What makes them different is the way neurons are interconnected and the way their interact. Papers referred hereinafter [12][13][14][15][16][17][18][19][20] demonstrate how neural network techniques can be successfully applied to financial and economic researches.…”

Section: Introductionmentioning

confidence: 99%

“…Deboeck and T. Kohonen (SOM) [11,[15][16][17] and thoroughly described in training and methodological literature 7 . Self-organizing feature maps have a crucial distinction from other types of neural networks (S. Rende, M. Donduran [18], O.A. Carboni, P. Russu [19]).…”

Section: Introductionmentioning

confidence: 99%

A Neural Network Analysis of the Fixed Capital Investment Trends in Regions of the Russian Federation

Kuznetsov¹,

Перова²,

Lastochkina³

2017

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Importance The article considers the changes in and characteristics of the investment activities and behavior of the Russian Federation regions.Objectives The article aims to analyze and describe the trends and characteristics of fixed capital investment behavior of the Russian Federation regions to ensure the economic growth and socio-economic development of the country and regions. Methods We examine the regions' investment activities for the period from 2012 through 2014 using the neural modeling methodology on the basis of thirteen indicators characterizing the investment activities of the regions and defining their socio-economic development prospects. We also apply the Self Organizing Map using the STATISTICA software. Data of the Federal State Statistics Service of Russia on fixed investment by type of economic activity in the regions underlie our study. Results The paper shows certain characteristics and peculiarities of the investment performance and behavior of the Russian Federation regions. Conclusions and Relevance

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Neighborhoods in Development: Human Development Index and Self-organizing Maps

Cited by 16 publications

References 44 publications

A New Look at Public Services Inequality: The Consistency of Neighborhood Context and Citizens’ Perception across Multiple Scales

A New Look at Public Services Inequality: The Consistency of Neighborhood Context and Citizens’ Perception across Multiple Scales

Emerging Economies: Comparative Analysis of Mist and Ibsa Countries

A Neural Network Analysis of the Fixed Capital Investment Trends in Regions of the Russian Federation

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