166,496 research outputs found

    The Effectiveness of Real Estate Market Versus Efficiency of Its Participants

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    This paper attempts to prove the following hypothesis: the effectiveness of a real estate market may be identified by analysing the effectiveness of its participants. The authors also discuss methods based on the rough set theory which can influence the efficiency and efficacy of market participants, and consequently, the effectiveness of the real estate market and its participants

    CASE annual report 2009

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    Critical junctures : independence movements and democracy in Africa

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    We show that current levels of democracy in Africa are linked to the nature of its independence movements. Using different measures of political regimes and historical data on anti-colonial movements, we find that countries that experienced rural insurgencies tend to have autocratic regimes, while those that faced urban protests tend to have more democratic institutions. We provide evidence for causality in this relationship by using rough terrain as an instrument for rural insurgency, and by performing a sensitivity analysis. Finally, the evidence suggests that the adoption of rural insurgency perpetuated the use of violence as a form of conflict resolution

    Grassland futures in Great Britain – Productivity assessment and scenarios for land use change opportunities

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    This is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).To optimise trade-offs provided by future changes in grassland use intensity, spatially and temporally explicit estimates of respective grassland productivities are required at the systems level. Here, we benchmark the potential national availability of grassland biomass, identify optimal strategies for its management, and investigate the relative importance of intensification over reversion (prioritising productivity versus environmental ecosystem services). Process-conservative meta-models for different grasslands were used to calculate the baseline dry matter yields (DMY; 1961–1990) at 1 km2 resolution for the whole UK. The effects of climate change, rising atmospheric [CO2] and technological progress on baseline DMYs were used to estimate future grassland productivities (up to 2050) for low and medium CO2 emission scenarios of UKCP09. UK benchmark productivities of 12.5, 8.7 and 2.8 t/ha on temporary, permanent and rough-grazing grassland, respectively, accounted for productivity gains by 2010. By 2050, productivities under medium emission scenario are predicted to increase to 15.5 and 9.8 t/ha on temporary and permanent grassland, respectively, but not on rough grassland. Based on surveyed grassland distributions for Great Britain in 2010 the annual availability of grassland biomass is likely to rise from 64 to 72 million tonnes by 2050. Assuming optimal N application could close existing productivity gaps of ca. 40% a range of management options could deliver additional 21 ∗ 106 tonnes of biomass available for bioenergy. Scenarios of changes in grassland use intensity demonstrated considerable scope for maintaining or further increasing grassland production and sparing some grassland for the provision of environmental ecosystem services.Peer reviewedFinal Published versio

    Places that Matter: Place Attachment and Wellbeing of Older Antillean Migrants in the Netherlands

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    It has been argued that attachment to place increases wellbeing in old age (Wiles et al., 2009). Feeling ‘in place’ can increase an older person's wellbeing. For older migrants it can be a challenge to live in-between cultures. The objective of the article is to explore how older Antillean migrants derive a sense of wellbeing from attachment to their everyday places. We do so by drawing on in-depth interviews and a photography project with Antilleans who live in a senior cohousing community in a city in the Northern Netherlands. Based on the study, we conclude that the cohousing community acted as a central setting of experience from which the participants explored their wider surroundings and developed new attachments in the neighbourhood

    Analysis of the potentials of multi criteria decision analysis methods to conduct sustainability assessment

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    Sustainability assessments require the management of a wide variety of information types, parameters and uncertainties. Multi criteria decision analysis (MCDA) has been regarded as a suitable set of methods to perform sustainability evaluations as a result of its flexibility and the possibility of facilitating the dialogue between stakeholders, analysts and scientists. However, it has been reported that researchers do not usually properly define the reasons for choosing a certain MCDA method instead of another. Familiarity and affinity with a certain approach seem to be the drivers for the choice of a certain procedure. This review paper presents the performance of five MCDA methods (i.e. MAUT, AHP, PROMETHEE, ELECTRE and DRSA) in respect to ten crucial criteria that sustainability assessments tools should satisfy, among which are a life cycle perspective, thresholds and uncertainty management, software support and ease of use. The review shows that MAUT and AHP are fairly simple to understand and have good software support, but they are cognitively demanding for the decision makers, and can only embrace a weak sustainability perspective as trade-offs are the norm. Mixed information and uncertainty can be managed by all the methods, while robust results can only be obtained with MAUT. ELECTRE, PROMETHEE and DRSA are non-compensatory approaches which consent to use a strong sustainability concept, accept a variety of thresholds, but suffer from rank reversal. DRSA is less demanding in terms of preference elicitation, is very easy to understand and provides a straightforward set of decision rules expressed in the form of elementary “if … then …” conditions. Dedicated software is available for all the approaches with a medium to wide range of results capability representation. DRSA emerges as the easiest method, followed by AHP, PROMETHEE and MAUT, while ELECTRE is regarded as fairly difficult. Overall, the analysis has shown that most of the requirements are satisfied by the MCDA methods (although to different extents) with the exclusion of management of mixed data types and adoption of life cycle perspective which are covered by all the considered approaches
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