Search results

1 – 10 of over 26000
To view the access options for this content please click here
Book part

Jenny L. Davis and Tony P. Love

Role-taking, perspective taking, and empathy have developed through parallel literatures in sociology and psychology. All three concepts address the ways that people…

Abstract

Purpose

Role-taking, perspective taking, and empathy have developed through parallel literatures in sociology and psychology. All three concepts address the ways that people attune the self to others’ thoughts and feelings. Despite conceptual and operational overlap, researchers have yet to synthesize existing research across the three concepts. We undertake the task of theoretical synthesis, constructing a model in which role-taking emerges as a multidimensional process that includes perspective taking and empathy as component parts.

Approach

We review the literatures on role-taking, perspective taking, and empathy across disciplines. Focusing on definitions, measures, and interventions, we discern how the concepts overlap, how they are distinct, and how they work together in theoretically meaningful ways.

Findings

The review identifies two key axes on which each concept varies: the relative roles of affect and cognition, and the relative emphasis on self and structure. The review highlights the cognitive nature of perspective taking, the affective nature of empathy, and the structural nature of role-taking. In a move toward theoretical synthesis, we propose a definition that centers role-taking as a sociological construct, with perspective taking and empathy representing cognition and affect, respectively.

Social implications

Role-taking is an important part of selfhood and community social life. It is a skill that varies in patterned ways, including along lines of status and power. Theoretical synthesis clarifies the process of role-taking and fosters the construction of effective interventions aimed at equalizing role-taking in interpersonal interaction.

Details

Advances in Group Processes
Type: Book
ISBN: 978-1-78743-192-8

Keywords

To view the access options for this content please click here
Article

Michael McCord, Peadar Davis, John McCord, Martin Haran and Karen Davison

The role of energy efficiency and particularly energy performance certificates (EPCs) has emerged as a topical and important aspect of real estate markets. Various studies…

Abstract

Purpose

The role of energy efficiency and particularly energy performance certificates (EPCs) has emerged as a topical and important aspect of real estate markets. Various studies have been carried out investigating the perceived capitalisation effects of energy efficiency on property prices. There, however, remains divergence of opinion whether the capitalisation effect is truly in existence with extant research showing differing magnitudes of effects, if any. To date, no study (that the authors are aware of) has investigated the nature of the transition between EPC bands and price effects. The purpose of this study is to add to the research of the energy efficiency of housing to examine the nature of the likelihood of property characteristics being associated with higher EPC scores and value.

Design/methodology/approach

This research undertakes a suite of methodological tests to investigate the more latent relationships between EPC bands and pricing behaviour using 3,797 achieved sales prices within the Belfast housing market. Binary logit regression models are specified in conjunction with a Polytomous Universal Model to examine the likelihood of EPC bands falling within a particular property type and the likelihood of any pricing effects.

Findings

The findings show the differing property types to comprise very distinct and complex relationships in terms of price and EPC banding. The binary logit model estimations for both terrace properties and apartments reveal an increased likelihood to obtain higher EPC scores, with the semi-detached sector displaying a “mixed effect” with detached property revealing decreased probability of having superior energy performance and decreased likelihood of having poorer energy performance. The ordinal model estimations indicate that sales price comprises no relationship with energy performance, inferring that there is no increased probability of an increase in sales price with higher EPC rating.

Originality/value

This research offers new insights and focus on achieving a better understanding of the nexus between energy performance and property characteristics using alternative modelling approaches. This provides more exploratory insights into the complex relationships and offers awareness for policy discourse in terms of targeting properties which will tend to be poorer in energy efficiency.

Details

Journal of Financial Management of Property and Construction , vol. 25 no. 2
Type: Research Article
ISSN: 1366-4387

Keywords

To view the access options for this content please click here
Article

Michael J. McCord, Sean MacIntyre, Paul Bidanset, Daniel Lo and Peadar Davis

Air quality, noise and proximity to urban infrastructure can arguably have an important impact on the quality of life. Environmental quality (the price of good health) has…

Abstract

Purpose

Air quality, noise and proximity to urban infrastructure can arguably have an important impact on the quality of life. Environmental quality (the price of good health) has become a central tenet for consumer choice in urban locales when deciding on a residential neighbourhood. Unlike the market for most tangible goods, the market for environmental quality does not yield an observable per unit price effect. As no explicit price exists for a unit of environmental quality, this paper aims to use the housing market to derive its implicit price and test whether these constituent elements of health and well-being are indeed capitalised into property prices and thus implicitly priced in the market place.

Design/methodology/approach

A considerable number of studies have used hedonic pricing models by incorporating spatial effects to assess the impact of air quality, noise and proximity to noise pollutants on property market pricing. This study presents a spatial analysis of air quality and noise pollution and their association with house prices, using 2,501 sale transactions for the period 2013. To assess the impact of the pollutants, three different spatial modelling approaches are used, namely, ordinary least squares using spatial dummies, a geographically weighted regression (GWR) and a spatial lag model (SLM).

Findings

The findings suggest that air quality pollutants have an adverse impact on house prices, which fluctuate across the urban area. The analysis suggests that the noise level does matter, although this varies significantly over the urban setting and varies by source.

Originality/value

Air quality and environmental noise pollution are important concerns for health and well-being. Noise impact seems to depend not only on the noise intensity to which dwellings are exposed but also on the nature of the noise source. This may suggest the presence of other externalities that arouse social aversion. This research presents an original study utilising advanced spatial modelling approaches. The research has value in further understanding the market impact of environmental factors and in providing findings to support local air zone management strategies, noise abatement and management strategies and is of value to the wider urban planning and public health disciplines.

Details

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

Keywords

To view the access options for this content please click here

Abstract

Details

Local Disaster Risk Management in a Changing Climate: Perspective from Central America
Type: Book
ISBN: 978-1-78350-935-5

To view the access options for this content please click here
Book part

Roman Liesenfeld, Jean-François Richard and Jan Vogler

We propose a generic algorithm for numerically accurate likelihood evaluation of a broad class of spatial models characterized by a high-dimensional latent Gaussian…

Abstract

We propose a generic algorithm for numerically accurate likelihood evaluation of a broad class of spatial models characterized by a high-dimensional latent Gaussian process and non-Gaussian response variables. The class of models under consideration includes specifications for discrete choices, event counts and limited-dependent variables (truncation, censoring, and sample selection) among others. Our algorithm relies upon a novel implementation of efficient importance sampling (EIS) specifically designed to exploit typical sparsity of high-dimensional spatial precision (or covariance) matrices. It is numerically very accurate and computationally feasible even for very high-dimensional latent processes. Thus, maximum likelihood (ML) estimation of high-dimensional non-Gaussian spatial models, hitherto considered to be computationally prohibitive, becomes feasible. We illustrate our approach with ML estimation of a spatial probit for US presidential voting decisions and spatial count data models (Poisson and Negbin) for firm location choices.

Details

Spatial Econometrics: Qualitative and Limited Dependent Variables
Type: Book
ISBN: 978-1-78560-986-2

Keywords

To view the access options for this content please click here
Article

Michael McCord, Martin Haran, Peadar Davis and John McCord

A number of studies have investigated the relationship between energy performance certificates (EPCs) and house prices. A majority of studies have tended to model energy…

Abstract

Purpose

A number of studies have investigated the relationship between energy performance certificates (EPCs) and house prices. A majority of studies have tended to model energy performance pricing effects within a traditional hedonic conditional mean estimate model. There has been limited analysis that has accounted for the relationship between EPCs and the effects across the pricing distribution. Moreover, there has been limited research examining the “standard cost improvements EPC score”, or “potential score”. Therefore, this paper aims to quantify and measure the dynamic effects of EPCs on house prices across the price spectrum and account for standardised cost-effective retrofit improvements.

Design/methodology/approach

Existing EPC studies produce one coefficient for the entirety of the pricing distribution, culminating in a single marginal implicit price effect. The approach within this study applies a quantile regression approach to empirically estimate how quantiles of house prices respond differently to unitary changes in the proximal effects of EPCs and structural property characteristics across the conditional distribution of house prices. Using a data set of 1,476 achieved transaction prices, the quantile regression models apply both assessed EPC score and bands and further examine the potential EPC rating for improved energy performance based on an average energy cost improvement.

Findings

The findings show that EPCs are valued differently across the quantiles and that conditional quantiles are asymmetrical. Only property prices in the upper quantiles of the price distribution show significant capitalisation effects with energy performance, and only properties with higher EPC scores display positive significant effects at the higher end of the price distribution. There are also brown discount effects evident for lower-rated properties within F- and G-rated EPC properties at the higher end of the pricing distribution. Moreover, the potential energy efficiency rating (score) also shows increased effects with sales prices and appears to minimise any brown discount effects. The findings imply that energy performance is a complex feature that is not easily “averaged” for valuation effect purposes.

Originality/value

While numerous studies have investigated the pricing effects of EPCs, they have tended to provide a single estimate to determine the relationship with price. This paper extends the traditional analytical insights beyond the conditional mean estimate by examining the quantiles of the relationship between EPCs and house prices to enhance the understanding of this esoteric and complex issue. In addition, this research applies the assessed energy efficiency potential to establish whether effective cost improvements enhance the relationship with sales price and capitalisation effects.

Details

Journal of European Real Estate Research , vol. 13 no. 3
Type: Research Article
ISSN: 1753-9269

Keywords

To view the access options for this content please click here
Article

Michael T. Dugan, Elizabeth H. Turner and Clark M. Wheatley

This paper aims to examine the association of accruals and disaggregated pension components with future cash flows and also to investigate whether investors distinguish…

Abstract

Purpose

This paper aims to examine the association of accruals and disaggregated pension components with future cash flows and also to investigate whether investors distinguish between pension information that is recognized (SFAS 158) versus disclosed (SFAS 132).

Design/methodology/approach

Regression analysis is used with a proxy for expected future cash flows as the dependent variable, and the components of pension disclosures as well as controls for the 2008-2009 financial crisis as the independent variables.

Findings

The results reveal that incorporating disaggregated pension components increases the ability to predict future cash flows, and that investors attach different pricing multiples to the various components in the models. The authors also find that during the 2008-2009 financial crisis, the signs of the coefficients on these components changed. Finally, the results indicate that investors assign more significance to pension accounting information that is recognized, as opposed to disclosed, and that disclosure affects the allocation of pension assets.

Originality/value

The authors provide empirical support for the conjecture posited by Amir and Benartzi (1998) that the prediction of future cash flows will be enhanced by the incorporation of the components of pension assets and liabilities. Importantly from a standard setting perspective, the authors also find evidence that investors assign more significance to pension accounting information that is recognized in the financial statements than to pension information that is disclosed.

Details

Journal of Financial Economic Policy, vol. 9 no. 1
Type: Research Article
ISSN: 1757-6385

Keywords

To view the access options for this content please click here
Article

Louise A. Reagan, Stephen J. Walsh and Deborah Shelton

The purpose of this paper is to examine relationships of self-care behavior, illness representation and diabetes knowledge with A1C (level of glycemic control) in 124…

Abstract

Purpose

The purpose of this paper is to examine relationships of self-care behavior, illness representation and diabetes knowledge with A1C (level of glycemic control) in 124 incarcerated persons.

Design/methodology/approach

Using a cross-sectional design, summary scores and items from the self-care inventory revised, brief illness perception questionnaire and the spoken knowledge for low literacy in diabetes were evaluated using linear regression to assess their relationship to A1C.

Findings

Metabolic control was suboptimal for the majority of inmates with diabetes. The final regression model was statistically significant (F (3, 120)=9.51, p=0.001, R2=19.2 percent). Higher log10 HbA1C (A1C) was associated with lower personal control beliefs (B=−0.007, t (122)=−2.42, p=<0.02), higher self-report of diabetes understanding (B=0.009, t (122)=3.12, p=0.00) and using insulin (B=0.062, t (122)=2.45, p=0.02).

Research limitations/implications

Similar to findings with community dwelling participants, enhancing diabetes personal control beliefs among inmates may lead to lower A1C.

Social implications

Highly structured environments with limited options for self-care, personal choices and readily available health care may give some incarcerated persons with diabetes no motivation to improve diabetes control even if they have an understanding of what to do.

Originality/value

While there is abundant research in the community describing how these factors influence A1C levels, research of this nature with incarcerated persons with diabetes is limited. Findings will inform diabetes programming during incarceration to better prepare inmates for reentry.

Details

International Journal of Prisoner Health, vol. 12 no. 3
Type: Research Article
ISSN: 1744-9200

Keywords

To view the access options for this content please click here
Book part

Drawing on the results of the previous chapters, this chapter looks at current progress in terms of climate disaster risk incorporation into development planning and…

Abstract

Drawing on the results of the previous chapters, this chapter looks at current progress in terms of climate disaster risk incorporation into development planning and practice at three levels (national government, municipalities, and communities) and analyzes gaps, challenges, and opportunities. The chapter also discusses potential factors for enhancing local disaster risk management (DRM) capacity by collaborating with three levels of stakeholders.

Details

Local Disaster Risk Management in a Changing Climate: Perspective from Central America
Type: Book
ISBN: 978-1-78350-935-5

Keywords

To view the access options for this content please click here
Article

Christine Wamsler

This paper analyses how disaster risk management paradigms have gradually developed since the 1960s, shaped by practical experience of-and the debate about-the rising…

Abstract

This paper analyses how disaster risk management paradigms have gradually developed since the 1960s, shaped by practical experience of-and the debate about-the rising number of disasters, growing urbanization, and changing climatic conditions. In this context, climate change is shown as driving an urban pro-poor adaptation agenda, which could allow current shortcomings in urban risk reduction to be overcome. However, as past lessons in disaster risk management are rarely considered, any potential for improvement remains untapped. Possible ways of rectifying this situation are discussed, and a comprehensive framework for the reduction of both disaster and climate risks is presented.

Details

Open House International, vol. 35 no. 1
Type: Research Article
ISSN: 0168-2601

Keywords

1 – 10 of over 26000