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1 – 10 of over 2000

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Handbook of Microsimulation Modelling
Type: Book
ISBN: 978-1-78350-570-8

Abstract

Details

Handbook of Microsimulation Modelling
Type: Book
ISBN: 978-1-78350-570-8

Abstract

Details

Handbook of Microsimulation Modelling
Type: Book
ISBN: 978-1-78350-570-8

Abstract

Details

Modelling Our Future: Population Ageing, Health and Aged Care
Type: Book
ISBN: 978-1-84950-808-7

Article
Publication date: 6 May 2020

Jabrane Amaghouss and Aoamar Ibourk

In recent years, there is growing recognition of the importance of geography and space in the analysis of economic convergence by focusing on the dynamics of monetary indicators…

Abstract

Purpose

In recent years, there is growing recognition of the importance of geography and space in the analysis of economic convergence by focusing on the dynamics of monetary indicators. The analysis of spatial convergence based on socio-economic indicators are rare. These variables present a complement to understand the spatial dynamics of territorial units. The purpose of this paper is, first, to analyzes and describes trends in multidimensional poverty in Morocco and second it explores the convergence hypothesis.

Design/methodology/approach

Data are driven from HCP (2017). It concerns 75 provinces over the period 2004 and 2014. In addition to the availability of data, this period corresponds to significant changes in public policy. The nature of the observations necessitates the use of the spatial analysis techniques.

Findings

The results show that poverty is a geographical phenomenon with low speed of convergence. The paper propose some solutions to help policymakers implement an effective targeting policy aimed at reducing spatial inequalities in terms of multidimensional poverty in Morocco.

Originality/value

The analysis of spatial convergence based on socio-economic indicators are rare. This paper will focus on the convergence of the poverty index for a developing country.

Details

International Journal of Development Issues, vol. 19 no. 2
Type: Research Article
ISSN: 1446-8956

Keywords

Article
Publication date: 2 July 2021

Richard Cookson, Matthew Robson, Ieva Skarda and Tim Doran

We review quantitative methods for analysing the equity impacts of health care and public health interventions: who benefits most and who bears the largest burdens (opportunity…

Abstract

Purpose

We review quantitative methods for analysing the equity impacts of health care and public health interventions: who benefits most and who bears the largest burdens (opportunity costs)? Mainstream health services research focuses on effectiveness and efficiency but decision makers also need information about equity.

Design/methodology/approach

We review equity-informative methods of quantitative data analysis in three core areas of health services research: effectiveness analysis, cost-effectiveness analysis and performance measurement. An appendix includes further readings and resources.

Findings

Researchers seeking to analyse health equity impacts now have a practical and flexible set of methods at their disposal which builds on the standard health services research toolkit. Some of the more advanced methods require specialised skills, but basic equity-informative methods can be used by any health services researcher with appropriate skills in the three core areas.

Originality/value

We hope that this review will raise awareness of equity-informative methods of health services research and facilitate their entry into the mainstream so that health policymakers are routinely presented with information about who gains and who loses from their decisions.

Article
Publication date: 29 March 2013

Chris Shiels, Deborah Baker and Stephen Barrow

The purpose of this paper is to investigate to what extent urban regeneration programmes were targeted at the most deprived geographical areas and populations within the…

851

Abstract

Purpose

The purpose of this paper is to investigate to what extent urban regeneration programmes were targeted at the most deprived geographical areas and populations within the boundaries of nine local authorities (LAs) in the North West of England.

Design/methodology/approach

For each of the nine LAs, area‐level and individual survey data were used in estimating the proportions of the more deprived neighbourhoods and individuals included in (or excluded from) regeneration target populations after 1995.

Findings

The area‐level approach found that, in general, the more deprived neighbourhoods within local authority districts had been included in a main regeneration programme target area. However there was evidence of inconsistent coverage between LA areas, as well as some cases of very deprived local areas having no involvement at all in major regeneration programmes since 1995. Additional analysis of available survey data found that substantial numbers of residents with one or more individual indicators of deprivation (not in full‐time employment, not owning home, in difficult financial situation) had not been included in a regeneration target population.

Research limitations/implications

The basic nature of the measures of regeneration and deprivation used in the study reflect its status as the first stage of a wider project investigating the association between regeneration activity, social exclusion and health.

Practical implications

The findings of the study highlight the requirement for evaluators of a regeneration programme to consider how successful the intervention has been in targeting those residents for whom it was initially designed. This should precede any measurement of the programme outputs and their impact upon the “well‐being” of the targeted community.

Originality/value

The study is original in its use of both aggregated and individual level data in its consideration of how regeneration targets “need”.

Details

International Journal of Public Sector Management, vol. 26 no. 3
Type: Research Article
ISSN: 0951-3558

Keywords

Article
Publication date: 29 July 2010

Simon Tulloch and Stefan Priebe

Population‐based indices of needs have an influence on mental health care funding. Over the last 30 years, a number of needs indices have been developed that utilise…

Abstract

Population‐based indices of needs have an influence on mental health care funding. Over the last 30 years, a number of needs indices have been developed that utilise sociodemographic and service utilisation data to calculate a proxy indicator of population‐based need. This approach is used because indicators of socio‐economic disadvantage expressed as weighted deprivation show a strong relationship with mental health morbidity. In this paper, we review the existing indices, illustrate the application of these indices using east London as an example, and consider the methodological and conceptual limitations of these indices. Although none of the current indices provide a definitive picture, commissioners and providers may find them to be a useful source of contextual information, which may be useful in combination. In England, this is particularly relevant in the light of the increased liberalisation of commissioning services and changes in the funding process.

Details

Journal of Public Mental Health, vol. 9 no. 2
Type: Research Article
ISSN: 1746-5729

Keywords

Open Access
Article
Publication date: 3 August 2015

Alasdair Rae

The purpose of this paper is to provide a comprehensive overview of the geography of mortgage lending in Great Britain. It uses a new mortgage dataset as a way to shed light on…

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Abstract

Purpose

The purpose of this paper is to provide a comprehensive overview of the geography of mortgage lending in Great Britain. It uses a new mortgage dataset as a way to shed light on the spatial distribution of mortgage finance and to highlight the different lending patterns of seven major UK banks. It also examines the relationship between the distribution of mortgage finance and socio-economic status at the local level.

Design/methodology/approach

The methodology is based on simple quantitative techniques, including spatial analysis, location quotient analysis and socio-economic classification. Lending data for Great Britain’s 10,000 postcode sectors are the basis for analysis here.

Findings

The results suggest that some banks lend significantly less than others in poorer areas, but, owing to a lack of data, it is not possible to say why. It is possible to identify banks that appear to change their lending patterns in areas with different socio-economic characteristics. The paper concludes by reflecting on key messages and by making a small number of recommendations to improve transparency in the sector.

Research limitations/implications

In the absence of demand-side metrics, it is not possible to determine which banks lend disproportionately high or low amounts in poorer areas.

Practical implications

This paper has implications in relation to increasing financial transparency in the residential mortgage sector. The most important implication would be to highlight the fact that this new data – whilst a welcome development – is a long way from providing proper transparency in the mortgage lending sector.

Originality/value

This paper fills a gap in the international literature in relation to our understanding of the geography of mortgage lending in a major world economy. It also highlights important differential lending patterns in relation to socio-economic status at the sub-national level.

Details

Journal of European Real Estate Research, vol. 8 no. 2
Type: Research Article
ISSN: 1753-9269

Keywords

Article
Publication date: 1 March 1992

V.W. Mitchell

Geodemographics is a growing science with increasing applicationsin marketing. The release of the 1991 census data will stimulateactivity within a market already rapidly changing…

Abstract

Geodemographics is a growing science with increasing applications in marketing. The release of the 1991 census data will stimulate activity within a market already rapidly changing in nature. Discusses some of the results of a Delphi study with leading figures within the industry in the context of the industry′s future development.

Details

Logistics Information Management, vol. 5 no. 3
Type: Research Article
ISSN: 0957-6053

Keywords

1 – 10 of over 2000