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Book part
Publication date: 24 May 2007

Frederic Carluer

“It should also be noted that the objective of convergence and equal distribution, including across under-performing areas, can hinder efforts to generate growth

Abstract

“It should also be noted that the objective of convergence and equal distribution, including across under-performing areas, can hinder efforts to generate growth. Contrariwise, the objective of competitiveness can exacerbate regional and social inequalities, by targeting efforts on zones of excellence where projects achieve greater returns (dynamic major cities, higher levels of general education, the most advanced projects, infrastructures with the heaviest traffic, and so on). If cohesion policy and the Lisbon Strategy come into conflict, it must be borne in mind that the former, for the moment, is founded on a rather more solid legal foundation than the latter” European Commission (2005, p. 9)Adaptation of Cohesion Policy to the Enlarged Europe and the Lisbon and Gothenburg Objectives.

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Managing Conflict in Economic Convergence of Regions in Greater Europe
Type: Book
ISBN: 978-1-84950-451-5

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Article
Publication date: 3 April 2019

Saffet Erdoğan and Abdulkadir Memduhoğlu

The purpose of this paper is to examine the real estate sales in Turkey on a district basis to reveal the current state of real estate sales and any meaningful changes in…

Abstract

Purpose

The purpose of this paper is to examine the real estate sales in Turkey on a district basis to reveal the current state of real estate sales and any meaningful changes in the last period. The real estate market is important and is an indicator of the country’s general economic health, as real estate is seen as an investment.

Design/methodology/approach

As a powerful method of spatial analysis and evaluation, geographic information systems have been used to examine real estate data in both spatial and temporal ways. In this study, 14 years of sales data covering the years 2004 to 2017 obtained from government agencies on a district basis were evaluated using spatiotemporal methods. Several maps were produced using Getis-Ord Gi* and local Moran’s I indices, which showed the spatiotemporal change of sales and sales rates.

Findings

When looking at the maps, provinces such as Istanbul, Ankara, Izmir, Antalya and their surrounding districts have buoyant real estate markets compared to the other side of the country. Real estate sales are more stagnant in the eastern and northern parts of the country. In addition, the authors found that the growth rate of annual average real estate sales was approximately seven times higher than the annual average population growth.

Originality/value

This spatiotemporal study, which presents 14 years of performance data of the real estate market and, by extension, the economic situation, also highlights the regions that stand out for investment planning throughout the country. The results of spatiotemporal analysis also present a new way of real estate market visualization using maps with well-designed categorizations.

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Journal of European Real Estate Research, vol. 12 no. 2
Type: Research Article
ISSN: 1753-9269

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Article
Publication date: 3 October 2016

David McIlhatton, William McGreal, Paloma Taltavul de la Paz and Alastair Adair

There is a lack of understanding in the literature on the spatial relationships between crime and house price. This paper aims to test the impact of spatial effects in the…

Abstract

Purpose

There is a lack of understanding in the literature on the spatial relationships between crime and house price. This paper aims to test the impact of spatial effects in the housing market, how these are related to the incidence of crime and whether effects vary by the type of crime.

Design/methodology/approach

The analysis initially explores univariate and bivariate spatial patterns in crime and house price data for the Belfast Metropolitan Area using Moran’s I and Local Indicator Spatial Association (LISA) models, and secondly uses spatial autoregression models to estimate the role of crime on house prices. A spatially weighted two-stage least-squares model is specified to analyse the joint impact of crime variables. The analysis is cross sectional, based on a panel of data.

Findings

The paper illustrates that the pricing impact of crime is complex and varies by type of crime, property type and location. It is shown that burglary and theft are associated with higher-income neighbourhoods, whereas violence against persons, criminal damage and drugs offences are mainly associated with lower-priced neighbourhoods. Spatial error effects are reduced in models based on specific crime variables.

Originality/value

The originality of this paper is the application of spatial analysis in the study of the impact of crime upon house prices. Criticisms of hedonic price models are based on unexplained error effects; the significance of this paper is the reduction of spatial error effects achievable through the analysis of crime data.

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International Journal of Housing Markets and Analysis, vol. 9 no. 4
Type: Research Article
ISSN: 1753-8270

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Article
Publication date: 30 September 2013

Kaushal Keraminiyage and Pantip Piyatadsananon

While the top-down approach to design and implement post-disaster resettlement programmes are often influenced by spatial factors such as land availability and access to…

Abstract

Purpose

While the top-down approach to design and implement post-disaster resettlement programmes are often influenced by spatial factors such as land availability and access to infrastructure facilities, failure to recognise socio-economic and cultural sensitivities of resettling communities have been noted as a common reason for unsuccessful resettlement programmes. Since these socio-economic and political issues are not mutually exclusive from spatial factors, the aim of this research is to develop a framework to assist the design and implementation of better post-disaster resettlement programmes through better coordination between spatial and socio-economic/cultural factors.

Design/methodology/approach

An initial theoretical framework was developed through a comprehensive literature review followed by a validation through a case study approach.

Findings

During the theoretical framework development, the differentiating priorities of policy maker's viewpoint and resettling community's viewpoints have been established as key theoretical constructs, within the emergency, transitional, and potential development phases of post-disaster resettlement programmes. Further, spatial analysis has been identified as an effective technique that can be used to investigate the interdependencies between the spatial, socio-economic and cultural factors within the post-disaster resettlement programmes. The case study findings confirmed that spatial analysis indeed can be used effectively to evaluate the above mentioned interdependencies within the context of post-debris flow event disaster resettlement programmes.

Originality/value

It is expected that the developed framework can be used by authorities and policy makers who are designing and implementing resettlement programmes to evaluate how the spatial design of the programme can be used to minimise socio-economic and cultural issues of settling communities.

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International Journal of Disaster Resilience in the Built Environment, vol. 4 no. 3
Type: Research Article
ISSN: 1759-5908

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Article
Publication date: 15 July 2019

Reinaldo Belickas Manzini and Di Serio Carlos Luiz

This paper aims to contribute to the approaches based on traditional industry concentration statistics for identifying clusters by complementing them with the techniques…

Abstract

Purpose

This paper aims to contribute to the approaches based on traditional industry concentration statistics for identifying clusters by complementing them with the techniques of exploratory spatial data analysis (ESDA).

Design/methodology/approach

Using a sample with 34,500 observations retrieved from the social information annual report released by Brazil Ministry of Labor and Employment, the methodology was designed to make a comparison between the application of industry concentration statistics and ESDA statistics.

Findings

As the results show, the geographic distribution measures proved to be fundamental for longitudinal studies on regional dynamics and industrial agglomerations, and the local indicator of spatial association statistic tends to overcome the limitation of the industry concentration approach.

Research limitations/implications

In the period considered, due to economic, structural and circumstantial questions, activities linked to the transformation industry have been losing ground in the value creation process in Brazil. In this sense, the study of other industries may generate other types of insights that should be considered in the process of regional development.

Originality/value

This paper offers a critical analysis of empirical approaches and methodological advances with an emphasis on the treatment of special effects: spatial dependence, spatial heterogeneity and spatial scale. However, the regional dynamic presents a temporal dimension and a spatial dimension. The role of space has increasingly attracted attention in the analysis of economic changes. This work has identified opportunities for incorporating spatial effects in regional analysis over time.

Details

Competitiveness Review: An International Business Journal , vol. 29 no. 4
Type: Research Article
ISSN: 1059-5422

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Article
Publication date: 31 August 2021

Zbigniew Rarata

The purpose of this paper is to investigate airfoil’s tonal noise reduction mechanism when deploying surface irregularities, such as surface waviness by means of spatial

Abstract

Purpose

The purpose of this paper is to investigate airfoil’s tonal noise reduction mechanism when deploying surface irregularities, such as surface waviness by means of spatial stability analyses.

Design/methodology/approach

Flow field calculations over smooth and wavy-surface NACA 0012 airfoils at 2° angle of attack and at Reynolds number of 200,000 are performed using the large eddy simulation (LES) approach. Three geometrical configurations are considered: a smooth NACA 0012 airfoil, wavy surface on the suction side (SS) and wavy surface on the pressure side (PS). The spatial stability analyses using the LES-generated flow fields are conducted and validated against the Orr-Sommerfeld stability analysis for the smooth airfoil configuration.

Findings

The spatial stability analyses show that inclusion of the wavy-type modification on the SS of the airfoil does not lead to altering of the acoustic feedback loop mechanism, with respect to the mechanism observed for the smooth airfoil configuration. In contrast, applying the surface modifications to the airfoil PS leads to a significant reduction of the amplification range of disturbances in the vicinity of the trailing edge for the frequency of the acoustic feedback loop mechanism.

Practical implications

The spatial analyses using, for example, LES-generated flow fields can be widely used to determine acoustic sources and associated distributions of amplifications for a wide range of applications in the aeroacoustics.

Originality/value

The spatial stability analysis approach based on flow fields computed a priori using the LES method has been introduced, validated and used to determine behaviour of the acoustic feedback loop when accurate reconstruction of geometry effects is required.

Details

Aircraft Engineering and Aerospace Technology, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1748-8842

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Article
Publication date: 4 December 2019

Michael James McCord, John McCord, Peadar Thomas Davis, Martin Haran and Paul Bidanset

Numerous geo-statistical methods have been developed to analyse the spatial dimension and composition of house prices. Despite these advances, spatial filtering remains an…

Abstract

Purpose

Numerous geo-statistical methods have been developed to analyse the spatial dimension and composition of house prices. Despite these advances, spatial filtering remains an under-researched approach within house price studies. This paper aims to examine the spatial distribution of house prices using an eigenvector spatial filtering (ESF) procedure, to analyse the local variation and spatial heterogeneity.

Design/methodology/approach

Using 2,664 sale transactions over the one year period Q3 2017 to Q3 2018, an eigenvector spatial filtering approach is applied to evaluate spatial patterns within the Belfast housing market. This method consists of using geographical coordinates to specify eigenvectors across geographic distance to determine a set of spatial filters. These convey spatial structures representative of different spatial scales and units. The filters are incorporated as predictors into regression analyses to alleviate spatial autocorrelation. This approach is intuitive, given that detection of autocorrelation in specific filters and within the regression residuals can be markers for exclusion or inclusion criteria.

Findings

The findings show both robust and effective estimator consistency and limited spatial dependency – culminating in accurately specified hedonic pricing models. The findings show that the spatial component alone explains 14.6 per cent of the variation in property value, whereas 77.6 per cent of the variation could be attributed to an interaction between the structural characteristics and the local market geography expressed by the filters. This methodological step reduced short-scale spatial dependency and residual autocorrelation resulting in increased model stability and reduced misspecification error.

Originality/value

Eigenvector-based spatial filtering is a less known but suitable statistical protocol that can be used to analyse house price patterns taking into account spatial autocorrelation at varying (different) spatial scales. This approach arguably provides a more insightful analysis of house prices by removing spatial autocorrelation both objectively and subjectively to produce reliable, yet understandable, regression models, which do not suffer from traditional challenges of serial dependence or spatial mis-specification. This approach offers property researchers and policymakers an intuitive but comprehensible approach for producing accurate price estimation models, which can be readily interpreted.

Details

International Journal of Housing Markets and Analysis, vol. 13 no. 5
Type: Research Article
ISSN: 1753-8270

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Article
Publication date: 1 December 2017

Qiushi Hao, Benchen Fu, Yu Shao and Liying Wang

This study aims to explore the spatial distribution characteristics and spactial reciprocity between industrial parks (IPs) and vocational education parks (VEPs)…

Abstract

This study aims to explore the spatial distribution characteristics and spactial reciprocity between industrial parks (IPs) and vocational education parks (VEPs): agglomeration density, functional matching, spatial organization efficiency, as well as space intensive utility. To achieve this objective, IPs and VEPs in urban centers of Jiangsu Province are selected as the objects of the study. First, spatial analysis of thermodynamic diagrams is employed in this study to qualitatively analyze the evolutionary characteristics of the spatial distribution of IPs and VEPs to explore the spatial aggregation characteristics of their clustering, integration, and comprehensive crossover. Second, a horizontal comparison of the data and indexes concerned reveals that areas with high agglomeration and functional matching exhibit a sound spatial reciprocity. Third, this study crystallizes the four structural prototpye paradigms formed during the reciprocity evolution between IPs and VEPs; it compares spatial organization efficiency, with the agglomeration–core structure ranking first, followed by the circle–core structure. Finally, SPSS is used to analyze the space intensive utility in order to verify the conclusions of qualitative analysis. The findings can comprehensively explain the regularities of the spatial distribution and reciprocity between IPs and VEPs. The findngs can also elucidate the design of regional industrial development and educational programs.

Details

Open House International, vol. 42 no. 4
Type: Research Article
ISSN: 0168-2601

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Content available
Book part
Publication date: 4 May 2018

Siti Rusdiana, Zurnila Marli Kesuma, Latifah Rahayu and Edy Fradinata

Purpose – The purpose of this study is to explore the concept of spatial modeling in adolescent and under-five children’s nutritional status.Design/Methodology/Approach

Abstract

Purpose – The purpose of this study is to explore the concept of spatial modeling in adolescent and under-five children’s nutritional status.

Design/Methodology/Approach – The indicator used to identify spatial autocorrelation is the Local Indicator of Spatial Association (LISA). LISA is a method of exploratory analysis of spatial data capable of detecting spatial relationships at the local level and its effects globally. Aplication of stochastic modeling in spatial nutrition identification mapping can be categorized into two cases based on spatial autocorrelation and non-spatial autocorrelation.

Findings – This results of this study indicate that there is no spatial autocorrelation in the adolescent nutritional dataset. The thematic map for anemia showed that that the highest number of anemia in adolescents was in KutaAlam sub-districts (48 people). Sub-districts that were second most common were Meuraxa, Jaya Baru, and Baiturrahman sub-districts. The fewest cases were found in Lueng Bata sub-district (12 people). There were no sub-districts affected by neighboring areas, in the case of adolescents’ anemia in Banda Aceh. For the under-five nutritional data set, it shows that there are four factors that significantly affect spatial influence, which are malnutrition, chronic energy deficiency, woman of child-bearing age, proportion of family planning, percentage of households with PHBS and coverage of access to clean water.

Research Limitations/Implications – Anemia data were obtained with a school-based survey. Household survey would be better to implement in spatial analysis.

Practical Implications – The comparison of the dataset with the two methods provides a simple example to implement special autocorrelation in practice.

Social Implications – The results contribute to a much better comparison in many cases in the nutritional field.

Originality/Value – This is the initial nutritional status of adolescents in Banda Aceh.

Details

Proceedings of MICoMS 2017
Type: Book
ISBN:

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Article
Publication date: 6 November 2018

Elif Alkay and Hasan Serdar Kaya

This study aims to explore the pattern of urban residents’ socio-spatial distribution in a small-sized city where the local housing market capacity and variety is limited.

Abstract

Purpose

This study aims to explore the pattern of urban residents’ socio-spatial distribution in a small-sized city where the local housing market capacity and variety is limited.

Design/methodology/approach

Spatial variation was reflected by two different analysis. First, factor analysis was applied to determine the major dimensions of the social, economic and housing environment in the investigation area. Second, Kriging maps, which depict the socio-spatial distribution pattern of the households according to major dimensions, were produced by interpolating factor scores on a continuous surface. Those were supported by complementary exploratory analysis to deepen the discussion.

Findings

Homogenous distribution of similar groups to housing areas and low inner differentiation particularly within lower income neighborhoods are the noticeable results of the analysis set. Ethnicity and income differentiation are the principal determinants of socio-spatial distribution pattern in our case. The constraints of the local housing market are seemed to facilitate spatial separation. Disadvantaged population groups are limited to small niches within the urban fabric; they are relegated to poor quality neighborhoods or to unpopular inner-city housing estates.

Research limitations/implications

This research has been performed for the small size city in Turkey and may not hold for other areas, even though the methodology can be replicated and the mechanisms at play are quite similar elsewhere.

Practical implications

The internal differentiation of urban residents’ is worth investigation to develop consistent housing and planning policies to overcome prospective social exclusion problems. This study has a potential of remarking the importance of policy-based economic and housing development in smaller cities in Turkey.

Social implications

Analyses displayed a sectoral structure of the distribution of urban residents but lower inner differentiation within neighborhoods. Limitations of the housing stock facilitate substantial level of isolation to the extent of ethnicity. Two different ethnic groups are confined to small niches, and they are ethnically and economically tied down to their neighborhoods. The physical properties and the quality of both dwellings and the housing environment are the poorest in these areas, and these are unpopular housing areas by the majority of the population. These findings are supposed to give direction of setting consistent housing policies in the case area.

Originality/value

This research is one of the initial research on socio-spatial distribution of urban residents to housing areas in Turkey. It is also one of the rare examples of socio-spatial differentiation study in small-sized city in the literature. The authors have shown that socio-spatial differentiation would be severe even in small size housing markets as opposed to expectation.

Details

Journal of European Real Estate Research, vol. 11 no. 3
Type: Research Article
ISSN: 1753-9269

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