School of Geography and Leeds Institute for Data Analytics, University of Leeds, Woodhouse Lane, Leeds, West Yorkshire, LS2 9JT, UK.
Sci Data. 2019 May 13;6(1):56. doi: 10.1038/s41597-019-0064-z.
We present expenditure estimates for 106 product categories across Great Britain for the years 2008-2016. Estimates are at the Local Authority District level (n = 380) and the categories cover all food, drink and tobacco commodities. Reliable, local level expenditure estimates are crucial for understanding broader market trends, assessing economic stability and for projections. This is especially important for commodities such as alcohol, tobacco and unhealthy foods due to their role in the prevalence of non-communicable diseases. There has been relatively little research into local area spatial patterns of expenditure, with existing estimates often of insufficient resolution for informing planning decisions. We use spatial microsimulation to create an archive of expenditure datasets. This was achieved by linking socio-demographic foundations with detailed datasets on individual expenditure. Whilst initially developed to aid investigations into sociodemographic trends in the meat industry, the data have reuse potential in a number of disciplines, including public health, economics, retail geography and environmental management. The framework could be applied to other regions with appropriate data.
我们提供了 2008 年至 2016 年英国 106 个产品类别的支出估算，涵盖所有食品、饮料和烟草商品。估算数据来自地方当局区（n=380），这些数据对于了解更广泛的市场趋势、评估经济稳定性和进行预测至关重要。对于酒精、烟草和不健康食品等商品，由于它们在非传染性疾病的流行中所扮演的角色，可靠的地方层面支出估算更是必不可少。对于支出的局部空间模式，相关研究相对较少，现有的估算数据通常分辨率不足，难以支持规划决策。我们使用空间微模拟来创建支出数据集档案。这是通过将社会人口统计基础与个人支出的详细数据集相链接来实现的。虽然最初是为了帮助研究肉类行业的社会人口趋势而开发的，但这些数据在公共卫生、经济学、零售地理和环境管理等多个学科中具有再利用的潜力。该框架可应用于具有适当数据的其他地区。
