117 research outputs found

    Land use regulation and productivity – land matters: evidence from a UK supermarket chain

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    We use unique store-specific data for a major UK supermarket chain to estimate the impact of planning, which restricts both the size and location of stores, on Store output. Using the quasi-natural experiment of the variation in planning policies between England and other UK countries and a difference-in-difference approach, we isolate the impact of Town Centre First (TCF) policies. We find that space contributes directly to the productivity of stores and planning policies in England directly reduce output both by reducing store sizes and forcing stores onto less productive sites. Our results suggest that since the late 1980s planning policies have imposed a loss of total output of at least 18.3 to 24.9%. This is equivalent to more than a ‘lost decade’ of output growth in a major sector generated directly by government policy

    What makes cities more productive? Agglomeration economies and the role of urban governance: evidence from 5 OECD countries

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    This paper estimates agglomeration benefits across five OECD countries, and represents the first empirical analysis that combines evidence on agglomeration benefits and the productivity impact of metropolitan governance structures, while taking into account the potential sorting of individuals across cities. The comparability of results in a multi-country setting is supported through the use of a new internationally-harmonised definition of cities based on economic linkages rather than administrative boundaries. In line with the literature, the analysis confirms that city productivity increases with city size but finds that cities with fragmented governance structures tend to have lower levels of productivity. This effect is mitigated by the existence of a metropolitan governance body

    Evaluating the effects of planning policies on the retail sector: or do town centre first policies deliver the goods

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    Acknowledgements This paper represents work in progress and is still a preliminary draft. We would like to acknowledge the funding provided to SERC by ESRC, DCLG, BIS and the Welsh Assembly. We have benefited greatly from discussions with many colleagues and professional contacts: we would particularly like to mentio

    Inclusive growth? The relationship between economic growth and poverty in British cities

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    There is growing concern in many developed economies that the benefits of economic growth are not shared equitably. This is particularly the case in the UK, where economic growth has been geographically uneven and often biased towards already affluent cities. Yet there is relatively little evidence on the relationship between growth and poverty in the UK. This paper addresses this gap with an analysis of the links between economic growth and poverty in British cities between 2000 – 2008. We find little evidence that output growth reduced poverty. While growth was associated with wage increases at the top of the distribution, it was not associated with wage growth below the median. And there was no relationship between economic growth and the low skilled employment rate. These results suggest that growth in this period was far from inclusive

    The contribution of X-linked coding variation to severe developmental disorders

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    Over 130 X-linked genes have been robustly associated with developmental disorders, and X-linked causes have been hypothesised to underlie the higher developmental disorder rates in males. Here, we evaluate the burden of X-linked coding variation in 11,044 developmental disorder patients, and find a similar rate of X-linked causes in males and females (6.0% and 6.9%, respectively), indicating that such variants do not account for the 1.4-fold male bias. We develop an improved strategy to detect X-linked developmental disorders and identify 23 significant genes, all of which were previously known, consistent with our inference that the vast majority of the X-linked burden is in known developmental disorder-associated genes. Importantly, we estimate that, in male probands, only 13% of inherited rare missense variants in known developmental disorder-associated genes are likely to be pathogenic. Our results demonstrate that statistical analysis of large datasets can refine our understanding of modes of inheritance for individual X-linked disorders. Developmental disorders (DDs) are more prevalent in males, thought to be due to X-linked genetic variation. Here, the authors investigate the burden of X-linked coding variants in 11,044 DD patients, showing that this contributes to similar to 6% of both male and female cases and therefore does not solely explain male bias in DDs.Peer reviewe

    Perceptions of employability among London's low-paid: 'self-determination' or ethnicity?

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    We investigate how ethnicity, gender and other characteristics affect low-paid workers’ perceptions of their employability in London’s labour market, examining ‘self-determination’, ethnic and dual labour market theories. We find that perceptions vary considerably, both between genders and ethnicities and in the extent to which they are ‘justified’ by human capital attributes. Optimism varies between genders and ethnic groups but individuals’ perceptions vary to an even greater extent within genders and ethnic groups. Hence, individual-level ‘self-determination’ explanations of these perceptions appear to have greatest explanatory power though ethnic theories also have utility

    Evidence for 28 genetic disorders discovered by combining healthcare and research data

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    De novo mutations in protein-coding genes are a well-established cause of developmental disorders. However, genes known to be associated with developmental disorders account for only a minority of the observed excess of such de novo mutations. Here, to identify previously undescribed genes associated with developmental disorders, we integrate healthcare and research exome-sequence data from 31,058 parent–offspring trios of individuals with developmental disorders, and develop a simulation-based statistical test to identify gene-specific enrichment of de novo mutations. We identified 285 genes that were significantly associated with developmental disorders, including 28 that had not previously been robustly associated with developmental disorders. Although we detected more genes associated with developmental disorders, much of the excess of de novo mutations in protein-coding genes remains unaccounted for. Modelling suggests that more than 1,000 genes associated with developmental disorders have not yet been described, many of which are likely to be less penetrant than the currently known genes. Research access to clinical diagnostic datasets will be critical for completing the map of genes associated with developmental disorders
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