871 resultados para housing metrics


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The literature on the meaning of home emphasises the security, positive meaning and self-esteem that home generates. However, housing policy has traditionally viewed houses as units of accommodation rather than homes. This article tackles the question of whether it is possible to devise a housing policy that aims at improving the self-esteem and positive identity of residents. The article reviews the growing literature stressing the importance of seeking to promote happiness or well-being as the primary objective of government policy and concludes with an evaluation of the potential for the application of these ideas to housing policy.

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Cooperative housing is a long-established form of housing tenure found in many countries. This article will examine the different definitions and forms of cooperative housing and the different roles it has donned in a number of countries, including the United Kingdom and Sweden. The philosophy behind this form of housing will be described. The pragmatic reasons for its existence, such as the need for a collective form of tenure to deal with common repair problems, will also be discussed. The main areas of research on housing cooperatives will be described: (i) their efficiencies being compared with those of other tenure forms and (ii) identifying the factors that influence resident involvement.

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The insights of behavioural economics are questioned and an approach suggested that is based on empirical studies of how people actually behave in housing markets.

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We evaluate the response to regional and latitudinal changes in aircraft NOx emissions using several climate metrics (radiative forcing (RF), Global Warming Potential (GWP), Global Temperature change Potential (GTP)). Global chemistry transport model integrations were performed with sustained perturbations in regional aircraft and aircraft-like NOx emissions. The RF due to the resulting ozone and methane changes is then calculated. We investigate the impact of emission changes for specific geographical regions (approximating to USA, Europe, India and China) and cruise altitude emission changes in discrete latitude bands covering both hemispheres. We find that lower latitude emission changes (per Tg N) cause ozone and methane RFs that are about a factor of 6 larger than those from higher latitude emission changes. The net RF is positive for all experiments. The meridional extent of the RF is larger for low latitude emissions. GWPs for all emission changes are positive, with tropical emissions having the largest values; the sign of the GTP depends on the choice of time horizon.

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We examine the effect of ozone damage to vegetation as caused by anthropogenic emissions of ozone precursor species and quantify it in terms of its impact on terrestrial carbon stores. A simple climate model is then used to assess the expected changes in global surface temperature from the resulting perturbations to atmospheric concentrations of carbon dioxide, methane, and ozone. The concept of global temperature change potential (GTP) metric, which relates the global average surface temperature change induced by the pulse emission of a species to that induced by a unit mass of carbon dioxide, is used to characterize the impact of changes in emissions of ozone precursors on surface temperature as a function of time. For NOx emissions, the longer-timescale methane perturbation is of the opposite sign to the perturbations in ozone and carbon dioxide, so NOx emissions are warming in the short term, but cooling in the long term. For volatile organic compound (VOC), CO, and methane emissions, all the terms are warming for an increase in emissions. The GTPs for the 20 year time horizon are strong functions of emission location, with a large component of the variability owing to the different vegetation responses on different continents. At this time horizon, the induced change in the carbon cycle is the largest single contributor to the GTP metric for NOx and VOC emissions. For NOx emissions, we estimate a GTP20 of −9 (cooling) to +24 (warming) depending on assumptions of the sensitivity of vegetation types to ozone damage.

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The advent of the 'buy to let' (BTL) phenomenon in the UK. apart from producing a new wave of individualized rental market investment, has been widely judged to be a speculative and destabilizing force in the housing market. This paper provides a detailed empirical investigation of new residential investment in one city (Glasgow) where BTL has made a relatively large impact. In seeking to overcome data problems, the study employed qualitative (expert interviews and a landlord survey) and quantitative methods (census, the Register of Sasines, standardized house price information and modelling thereof) in order to assess the nature and scale of BTL, the motivations of investors and its impact on the private housing market. The evidence suggests that white Glasgow is in many re.spects different to rental markets elsewhere in the UK and although the investment has thus far largely occurred in a benign environment, the context for future investment, on balance, looks sustainable (i.e.favourable changes to pension planning law and the maturing market for BTL}. Long-term market impact is an empirical question that depends on the specific interactions of market niches or segments (i.e. the first-time buyer market for apartments} with potential buy to let investment. Our conclusion, to borrow a Scottish legal term, is that BTL induced volatility is 'not proven'.

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Social housing policy in the UK mirrors wider processes Associated with shifts in broad welfare regimes. Social housing has moved from dominance by state housing provision to the funding of new investment through voluntary sector housing associations to what is now a greater focus on the regulation and private financing of these not-for-profit bodies. If these trends run their course, we are likely to see a range of not-for-profit bodies providing non-market housing in a highly regulated quasi-market. This paper examines these issues through the lens of new institutional economics, which it is believed can provide important insights into the fundamental contractual and regulatory relationships that are coming to dominate social housing from the perspective of the key actors in the sector (not-for-profit housing organisations, their tenants, private lenders and the regulatory state). The paper draws on evidence recently collected from a study evaluating more than 100 stock transfer organisations that inherited ex-public housing in Scotland, including 12 detailed case studies. The paper concludes that social housing stakeholders need to be aware of the risks (and their management) faced across the sector and that the state needs to have clear objectives for social housing and coherent policy instruments to achieve those ends.

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First, we survey recent research in the application of optimal tax theory to housing. This work suggests that the under-taxation of housing for owner occupation distorts investment so that owner occupiers are encouraged to over-invest in housing. Simulations of the US economy suggest that this is true there. But, the theoretical work excludes consideration of land and the simulations exclude consideration of taxes other than income taxes. These exclusions are important for the US and UK economies. In the US, the property tax is relatively high. We argue that excluding the property tax is wrong, so that, when the property tax is taken into account, owner occupied housing is not undertaxed in the US. In the UK, property taxes are relatively low but the cost of land has been increasing in real terms for forty years as a result of a policy of constraining land for development. The price of land for housing is now higher than elsewhere. Effectively, an implicit tax is paid by first time buyers which has reduced housing investment. When land is taken into account over-investment in housing is not encouraged in the UK either.

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From 2001, the construction of flats and high-density developments increased in England and the building of houses declined. Does this indicate a change in taste or is it a result of government planning policies? In this paper, an analysis is made of the long-term effects of the policy of constraint which has existed for the past 50 years but the increase in density is identified as occurring primarily after new, revised, planning guidance was issued in England in 2000 which discouraged low-density development. To substantiate this, it is pointed out that the change which occurred in England did not occur in Scotland where guidance was not changed to encourage high-density residential development. The conclusion that the change is the result of planning policies and not of a change in taste is confirmed by surveys of the occupants of new high-rise developments in Leeds. The new flat-dwellers were predominantly young and childless and expressed the intention, in the near future, when they could, of moving out of the city centre and into houses. From recent changes in guidance by the new coalition government, it is expected that the construction of flats in England will fall back to earlier levels over the next few years.

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A favoured method of assimilating information from state-of-the-art climate models into integrated assessment models of climate impacts is to use the transient climate response (TCR) of the climate models as an input, sometimes accompanied by a pattern matching approach to provide spatial information. More recent approaches to the problem use TCR with another independent piece of climate model output: the land-sea surface warming ratio (φ). In this paper we show why the use of φ in addition to TCR has such utility. Multiple linear regressions of surface temperature change onto TCR and φ in 22 climate models from the CMIP3 multi-model database show that the inclusion of φ explains a much greater fraction of the inter-model variance than using TCR alone. The improvement is particularly pronounced in North America and Eurasia in the boreal summer season, and in the Amazon all year round. The use of φ as the second metric is beneficial for three reasons: firstly it is uncorrelated with TCR in state-of-the-art climate models and can therefore be considered as an independent metric; secondly, because of its projected time-invariance, the magnitude of φ is better constrained than TCR in the immediate future; thirdly, the use of two variables is much simpler than approaches such as pattern scaling from climate models. Finally we show how using the latest estimates of φ from climate models with a mean value of 1.6—as opposed to previously reported values of 1.4—can significantly increase the mean time-integrated discounted damage projections in a state-of-the-art integrated assessment model by about 15 %. When compared to damages calculated without the inclusion of the land-sea warming ratio, this figure rises to 65 %, equivalent to almost 200 trillion dollars over 200 years.