Spatial analysis of urban material stock with clustering algorithms: A Northern European case study

A large share of construction material stock (MS) accumulates in urban built environments. To attain a more sustainable use of resources, knowledge about the spatial distribution of urban MS is needed. In this article, an innovative spatial analysis approach to urbanMS is proposed. Within this scope, MSindicators are defined at neighborhood level and clusteredwith k-mean algorithms. The MS is estimated bottom-up with (a) material-intensity coefficients and (b) spatial data for three built environment components: buildings, road transportation, and pipes, using sevenmaterial categories. The city of Gothenburg, Sweden is used as a case study. Moreover, being the first case study in Northern Europe, the results are explored through various aspects (material composition, age distribution, material density), and, finally, contrasted on a per capita basis with other studies worldwide. The stock is estimated at circa 84 million metric tons. Buildings account for 73% of the stock, road transport 26%, and pipes 1%. Mineral-binding materials take the largest share of the stock, followed by aggregates, brick, asphalt, steel, and wood. Per capita, the MS is estimated at 153 metric tons; 62 metric tons are residential, which, in an international context, is a medium estimate. Denser neighborhoodswith a mix of nonresidential and residential buildings have a lower proportion of MS in roads and pipes than low-density single-family residential neighborhoods. Furthermore, single-family residential neighborhoods cluster in mixed-age classes and show the largest content of wood. Multifamily buildings cluster in three distinct age classes, and each represent a specific material composition of brick, mineral binding, and steel. Future work should focus on megacities and contrasting multiple urban areas and, methodologically, should concentrate on algorithms,MS indicators, and spatial divisions of urban stock

Productivity growth in the English National Health Service from 1998/1999 to 2013/2014

Productivity growth is a key measure against which National Health Service (NHS) achievements are judged. We measure NHS productivity growth as a set of paired year-on-year comparisons from 1998/1999–1999/2000 through 2012/2013– 2013/2014, which are converted into a chained index that summarises productivity growth over the entire period. Our measure is as comprehensive as data permit and accounts for the multitude of diverse outputs and inputs involved in the production process and for regular revisions to the data used to quantify outputs and inputs. Over the full-time period, NHS output increased by 88:96% and inputs by 81:58%, delivering overall total factor productivity growth of 4:07%. Productivity growth was negative during the first two terms of Blair’s government, with average yearly growth rate of 1:01% per annum (pa) during the first term (to 2000/2001) and 1:49% pa during the second term (2000/2001– 2004/2005). Productivity growth was positive under Blair’s third term (2004/2005–2007/2008) at 1:41% pa and under the Brown government (2007/2008–2010/2011), averaging 1:13% pa. Productivity growth remained positive under the Coalition (2010/2011–2013/2014), averaging 1:56% pa

Regional variation in the productivity of the English national health service

Variation in the provision of health care has long been a policy concern. We adapt the framework for productivity measurement used in the National Accounts, making it applicable for sub-national comparisons using cross-sectional data. We assess the productivity of the National Health Service (NHS) across regions of England, termed Strategic Health Authorities (SHAs). Productivity is calculated by comparing the total amount of healthcare output to total inputs for each region, standardised to the national average. Healthcare output comprises 6500 different categories, capturing the number and type of NHS patients treated and the quality of care received. Healthcare inputs include NHS and agency staff, supplies, equipment and capital. We find that productivity varies from 5% above to 6% below the national average. Productivity is highest in South West SHA and lowest in East Midlands, South Central and Yorkshire and The Humber SHAs. We estimate that if all regions were as productive as the most productive region in England, the NHS could treat the same number of patients with £3.2bn fewer resources each year. The methods developed lend themselves to investigate variations in productivity in other types of healthcare organisations and health systems

Can productivity growth measures identify best performing hospitals? Evidence from the English National Health Service

Health care systems around the world face limited financial resources, England is no exception. The ability of the health care system in England to operate within its financial resources depends in part on continually increasing its productivity. One means of achieving this is to identify and disseminate throughout the system the most efficient processes. We examine the annual productivity growth achieved by 151 hospitals over five financial years, using the same methods developed to measure productivity of the National Health Service as a whole. We consider whether there are hospitals which consistently achieve higher than average productivity growth. These could act as examples of good practice for others to follow and provide a means of increasing system performance. We find that the productivity growth of some hospitals over the whole period exhibits better than average performance, but there is little or no evidence of consistency in the performance of these hospitals over adjacent years. Even the best performers exhibit periods of very poor performance and vice versa. We therefore conclude that accepted methods of measuring productivity growth for the health system as a whole do not appear suitable for identifying good performance at the hospital level

Airports and ageing passengers: A study of the UK

Globally, improved standards of living, nutrition and medical treatment are extending human life expectancy and enhancing quality of life with the result that an increasing number of ageing passengers are using airports. This ‘grey boom’ presents both challenges and opportunities for airports as older travellers exhibit distinct and different travel characteristics concerning their propensity to fly, their travel purpose, trip duration, destination, surface access preferences, dwell time, retail habits, familiarity with airport automation and self-service technologies, and use of terminal facilities such as airport information desks, adaptive and assistive technologies and special assistance support. The aim of this paper is to use publicly available data to undertake an exploratory investigation into the use of UK airports by older travellers and make recommendations for future policy and practice. Overall, the study finds that the impact of this observed demographic change varies by individual airport and thus future policy and management of an ageing passenger profile needs to reflect the operational challenges on a location-by-location basis

A sub-national economic complexity analysis of Australia’s states and territories

© 2017 Regional Studies AssociationA sub-national economic complexity analysis of Australia’s states and territories. Regional Studies. This paper applies economic complexity analysis to the Australian sub-national economy (nine regions with 506 exported goods and services). Using a 2009 Australian multi-regional input–output table for base data, we determine the number of export goods or services in which each state and territory has a revealed comparative advantage, and visualize the complexity of Australia’s interstate and international exports. We find that small differences in industrial capability and knowledge are crucial to relative complexity. The majority of states (especially Western Australia) export primarily resource-intensive goods, yet interstate trade has many complex products that are not currently internationally exported

Female labour force participation, fertility and public policy in Sweden

This paper analyzes the role of public policy for Sweden's combination of high female labour force participation and high levels of fertility in the late 1980s and early 1990s. We present the central elements in the tax and family policies and use a disaggregated approach to assess their impact on Swedish fertility and female labour force participation. We show that these policies stimulate both fertility and women's paid work by reducing the costs of having children while requiring parents to be employed to collect full benefits. Cet article analyse le rôle des politiques sur le lien entre une forte participation féminine au marché du travail et de hauts niveaux de fécondité en Suède, à la fin des années 1980 et au début des années 1990. Nous présentons d'abord les principaux éléments des politiques fiscales et parentales. Puis nous utilisons une approche désaggrégée pour mettre en évidence leur impact sur la fécondité suédoise et la participation féminine au marché du travail. Nous montrons que ces politiques stimulent à la fois la fécondité et le travail féminin rémunéré en réduisant les coûts en vue d'élever les enfants tout en demandant aux parents d'être actifs pour en recueillir les pleins bénéfices.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/42731/1/10680_2005_Article_BF01797210.pd

Assessment of human resources for health using cross-national comparison of facility surveys in six countries

Abstract Background Health facility assessments are being increasingly used to measure and monitor indicators of health workforce performance, but the global evidence base remains weak. Partly this is due to the wide variability in assessment methods and tools, hampering comparability across and within countries and over time. The World Health Organization coordinated a series of facility-based surveys using a common approach in six countries: Chad, Côte d'Ivoire, Jamaica, Mozambique, Sri Lanka and Zimbabwe. The objectives were twofold: to inform the development and monitoring of human resources for health (HRH) policy within the countries; and to test and validate the use of standardized facility-based human resources assessment tools across different contexts. Methods The survey methodology drew on harmonized questionnaires and guidelines for data collection and processing. In accordance with the survey's dual objectives, this paper presents both descriptive statistics on a number of policy-relevant indicators for monitoring and evaluation of HRH as well as a qualitative assessment of the usefulness of the data collection tool for comparative analyses. Results The findings revealed a large diversity in both the organization of health services delivery and, in particular, the distribution and activities of facility-based health workers across the sampled countries. At the same time, some commonalities were observed, including the importance of nursing and midwifery personnel in the skill mix and the greater tendency of physicians to engage in dual practice. While the use of standardized questionnaires offered the advantage of enhancing cross-national comparability of the results, some limitations were noted, especially in relation to the categories used for occupations and qualifications that did not necessarily conform to the country situation. Conclusion With increasing experience in health facility assessments for HRH monitoring comes greater need to establish and promote best practices regarding methods and tools for their implementation, as well as dissemination and use of the results for evidence-informed decision-making. The overall findings of multi-country facility-based survey should help countries and partners develop greater capacity to identify and measure indicators of HRH performance via this approach, and eventually contribute to better understanding of health workforce dynamics at the national and international levels.</p

The UK's exit charge from the EU: insights from modes of accounting

Whatever the final charge on the UK for leaving the EU, the money itself is relatively marginal to the former's public finances. However, this charge is politically sensitive and financially aggravating during one of the longest periods of fiscal austerity in the UK's history. The ways in which leaving is conceptualized have implications for any continuing financial obligations that must be managed within the context of fiscal austerity and political uncertainty. Yet, leaving the EU is a unique transaction: it is not analogous, for example, to a divorce settlement, the leaving of a club, the termination of a commercial contract, the leaving of a treaty‐based international organization, or secession from a state. Analysing the formulation of the charge in terms of the four modes of government accounting—financial reporting, statistical accounting, budgeting, and fiscal sustainability projections—enhances its fiscal transparency. It evidences not only the weakness and inconsistency of the UK's negotiating position but also the dominance in EU thinking of the short‐term budgetary calculations of the 2014–20 Multiannual Financial Framework over its long‐term sustainability without a large net contributor. The final amount paid by the UK will depend on the resolution of competing perspectives as well as on liabilities and contingent liabilities associated with the increasingly complex EU financial architecture

The dimensional structure of the functional abilities in cases of long-term sickness absence

<p>Abstract</p> <p>Background</p> <p>The health problems that working people suffer can affect their functional abilities and, consequently, can cause a mismatch between those abilities and the demands of the work, leading to sickness absence. A lasting decrease in functional abilities can lead to long-term sickness absence and work disability, with negative consequences for both the worker and the larger society. The objective of this study was to identify common disability characteristics among large groups of long-term sick-listed and disabled employees.</p> <p>Methods</p> <p>As part of the disability benefit entitlement procedure in the Netherlands, an insurance physician assesses the functional abilities of the claimant in a standardised form, known as the List of Functional Abilities (LFA), which consists of six sections containing a total of 106 items. For the purposes of this study, we compiled data from 50,931 assessments. These data were used in an exploratory factor analyses, and the results were then used to construct scales. The stability of dimensional structure of the LFA and of the internal consistency of the scales was studied using data from 80,968 assessments carried out earlier, under a slightly different legislation.</p> <p>Results</p> <p>Three separate factor analyses carried out on the functional abilities of five sections of the LFA resulted in 14 scale variables, and one extra scale variable was based on the items from the sixth section. The resulting scale variables showed Cronbach's Alphas ranging from 0.59 to 0.97, with the exception of one of 0.54. The dimensional structure of the LFA in the verification population differed in some aspects. The Cronbach's Alphas of the verification population ranged from 0.58 to 0.97, again with the exception of the same scale: Alpha = 0.49.</p> <p>Conclusion</p> <p>The differences between the dimensional structures of the primary data and the earlier data we found in this study restrict the possibilities to generalise the results. The scales we constructed can be utilised to produce a compact description of the functional abilities of groups of claimants in the Netherlands. Moreover, the matching work demands can be used to identify jobs low on those demands as being the most accessible for the specific type of disabled employees, particularly severely disabled individuals.</p