Real Existing Regionalism: The Region between Talk,Territory and Technology

In this essay, we propose the notion of real existing ‘lived’ regionalism as a rejoinder to the normative and ideological debates around new regionalism. Regional forms have shown little convergence in this age of globalized regionalization. Instead of an ideational construct or set of predictable practices, we argue that regionalism is a contested product of discourses (talk), territorial relationships (territory) and technologies (material and of power). The concept of real existing regionalism confronts the tensions between the discursive constructions and normative interventions characterizing much current regionalist debate and the territorial politics and technologies reflecting, generating and directing new state spatial strategic choices. The essay demonstrates the utility of the real existing regionalism framework through an analysis of the greenbelt, transport planning and post‐ suburbanization in Southern Ontario. We argue that regulatory institutions capture the Toronto region in a mix of rhetorical and technological change that complies with neither preconceived notions of regionalization nor the pessimism of total regional dysfunctionality. Rather, the lived experience of regionalization illuminates the emergent assemblages, multiplicity of everyday flows and ongoing multiscalar negotiations of diverse communities that produce the real existing region.     

Placing the Urban Village: A Spatial Perspective on the Development Process of Urban Villages in Contemporary China

The rapid urbanization of China since the mid‐1980s has led to the development of a new spatial category, the urban village (chengzhongcun). The dominant neoliberal urban development regime approaches urban villages as a social, spatial, economic and political problem, and as targets for aggressive redevelopment and eradication policies. In this article, I propose a spatial perspective that makes use of several theoretical ‘anchors' to analyze the influence of urban village spatiality on its development process and to explore alternatives to the dominant redevelopment model. I begin by examining the spatial conceptualization of the urban village as a non‐place, arguing that this spatial reading undergirds the redevelopment‐by‐demolition model and tends to obscure alternative conceptualizations. I then move on to propose three alternative readings of urban village space, examining it as an everyday space, a liminal space and a neighborhood. Combining these three readings with the ‘non‐place' conceptualization provides a nuanced understanding of urban villages' unique spatial attributes and social roles, by evoking spatial and social processes that take place in most urban villages across China. Taken together, these spatial readings challenge the social and spatial rigidity of dominant representations of urban villages and supply a much‐needed spatially based conceptual framework that can be used to develop new urban planning models.     

Fits,misfits and interactions: learning at work,job satisfaction and job‐related well‐being

The resource‐based view (RBV) of the firm has focused attention on the importance of aligning employees' needs with the requirements of the jobs they do. This article focuses on how these needs and requirements interact in terms of learning. It does so in two ways. First, it develops new survey instruments to capture the learning demands of jobs and the learning dispositions of workers and uses them for the first time in a survey of 2,810 employees. Second, it examines how these person and job characteristics correlate with specific aspects of job satisfaction and job‐related well‐being. The results show that although learning alignment is associated with high levels of satisfaction and well‐being, not all learning misalignments are associated with the reverse.     

Retaining a diverse workforce: the impact of gender‐focused human resource management

Demography theory suggests that high gender diversity leads to high turnover. As turnover is costly, we tested the following: a main effect prediction derived from demography theory, and a moderating effect prediction derived from the relational framework. Data on 198 publicly listed organisations were collected through a human resources decision‐maker survey and archival databases. The results indicate that higher gender diversity leads to lower turnover in organisations with many gender‐focused policies and practices. Findings suggest that organisations can lower their turnover rates by increasing their gender diversity and by implementing gender‐focused policies and practices.     

High‐performance work systems and workplace performance in small,medium‐sized and large firms

This article draws on the Organisational Growth and Development (OGD) life cycle model to explore the relationship between high‐performance work systems (HPWS) and performance in firms of different size, thereby extending understanding of congruence or ‘best fit’ theory within strategic HRM debates. With reference to management control theory, economies of scale and the availability of specialist managerial skills, the article hypothesises that while an HPWS–performance relationship might exist in small, medium‐sized and large firms, the relationship will be stronger in large firms than in both small and medium‐sized firms, and stronger in medium‐sized firms than in small firms. Analysis of data from the British Workplace Employment Relations Survey demonstrates, however, that there is no association between HPWS and workplace performance in medium‐sized firms, in contrast to the positive relationship between HPWS and performance found in large firms and between HPWS and labour productivity in small firms.     

Internal Markets,Management by Targets,and Quasi‐Markets: An Analysis of Health Care Reforms in the English NHS

There have been two major attempts to introduce market mechanisms into England's National Health Service: the ‘internal market’ reform project of the 1990s, and the ‘quasi‐market’ of the 2000s. Despite their similarities, the former attempt was on balance unsuccessful while the latter succeeded. This article examines and compares the outcomes of the two periods, analysing the reasons for their relative successes and failures. It goes on to highlight options for future reforms that would build on those achievements.     

Varying Coefficient Regression Models: A Review and New Developments

Varying coefficient regression models are known to be very useful tools for analysing the relation between a response and a group of covariates. Their structure and interpretability are similar to those for the traditional linear regression model, but they are more flexible because of the infinite dimensionality of the corresponding parameter spaces. The aims of this paper are to give an overview on the existing methodological and theoretical developments for varying coefficient models and to discuss their extensions with some new developments. The new developments enable us to use different amount of smoothing for estimating different component functions in the models. They are for a flexible form of varying coefficient models that requires smoothing across different covariates' spaces and are based on the smooth backfitting technique that is admitted as a powerful technique for fitting structural regression models and is also known to free us from the curse of dimensionality.     

Extreme Value Theory and Statistics of Univariate Extremes: A Review

Statistical issues arising in modelling univariate extremes of a random sample have been successfully used in the most diverse fields, such as biometrics, finance, insurance and risk theory. Statistics of univariate extremes (SUE), the subject to be dealt with in this review paper, has recently faced a huge development, partially because rare events can have catastrophic consequences for human activities, through their impact on the natural and constructed environments. In the last decades, there has been a shift from the area of parametric SUE, based on probabilistic asymptotic results in extreme value theory, towards semi‐parametric approaches. After a brief reference to Gumbel's block methodology and more recent improvements in the parametric framework, we present an overview of the developments on the estimation of parameters of extreme events and on the testing of extreme value conditions under a semi‐parametric framework. We further discuss a few challenging topics in the area of SUE. © 2014 The Authors. International Statistical Review © 2014 International Statistical Institute     

IS FINANCIAL SUPPORT FOR PRIVATE R&D ALWAYS JUSTIFIED? A DISCUSSION BASED ON THE LITERATURE ON GROWTH

Many economists have long held that market failures create a gap between social and private returns to research and development (R&D), thereby limiting private incentives to invest in R&D. However, this common belief that firms significantly underinvest in R&D is increasingly being challenged, leading the rationale behind public support for private R&D to be questioned. In this paper, we attempt to clarify the perspectives of two sources: the theoretical literature on endogenous growth, and its recent developments in integrating a geographical dimension, and the empirical literature that measures the social returns to R&D in relation to the private returns. Ultimately, we are able to clearly distinguish among different types of market failures and compare their relative impact on the gap between the private and social returns to R&D. Two main conclusions are reached. First, systematic firm underinvestment in R&D is not demonstrated. Second, even though instances of underinvestment do occur, they are mainly explained by surplus appropriability problems rather than by knowledge externalities. This suggests the need for a new policy mix that employs more demand‐oriented instruments and is more concentrated on identifying efficient allocations among activities rather than merely increasing global private R&D investment.     

HOW TO MEASURE THE ECONOMIC IMPACT OF VECTOR‐BORNE DISEASES AT COUNTRY LEVEL

Vector‐borne diseases (VBDs) are widespread in less developed countries and reemerging in developed ones. Available economic studies agree that VBDs have significant effects on countries' economic outcomes, and affirm that a systematic evaluation of such effects is crucial for the efficient allocation of resources to health‐related priorities. This paper provides a comparative assessment of available methodologies for measuring the economic impact of VBDs at national level. We review both macroeconometric and micro‐based approaches, and examine advantages and disadvantages of current methods. We conclude by suggesting possible areas for future research.