Morrison Christopher
Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Vic., Australia; Prevention Research Center, Pacific Institute for Research and Evaluation, Oakland, California.
Alcohol Clin Exp Res. 2015 Jan;39(1):73-8. doi: 10.1111/acer.12599. Epub 2014 Dec 16.
Lower-income populations are exposed to excess risks related to the presence of greater concentrations of alcohol outlets in their communities. Theory from economic geography suggests this is due to dynamic processes that shape urban retail markets (as outlets are attracted to areas of higher population density due to the increased demand but are excluded from higher-income areas due to land and structure rents). This mechanism may explain increased exposure to alcohol outlets for lower-income populations in rural areas. This study tests the hypothesis that the distribution of outlets between rural towns will reflect these market dynamics, such that outlets are concentrated in towns with (i) greater resident and temporary populations, (ii) with lower income, and (iii) which are adjacent to towns with higher income.
Bayesian conditional autoregressive Poisson models examined counts of bars, restaurants, and off-premise outlets within 353 discrete towns of rural Victoria, Australia (mean population = 4,236.0, SD = 15,754.1). Independent variables were each town's total resident population, net changes to population (due to commuter flow, visitors, and the flow of local residents to other towns [spatial interaction]), and income for the local and adjacent towns.
Lower local income and increased income in adjacent towns were associated with more outlets of all types. Greater resident populations and greater net population due to commuters also predicted greater numbers of all outlets. Bars and restaurants were positively related to greater net population due to visitors and negatively related to spatial interaction.
The economic geographic processes that lead to greater concentrations of alcohol outlets in lower-income areas are common to all retail markets. Lower-income populations are exposed to increased risk associated with the presence of additional outlets that service demand from nonresidents. In rural areas, these processes appear to operate between discrete towns.
低收入人群所在社区的酒精销售点浓度较高,使他们面临更多额外风险。经济地理学理论表明,这是由于塑造城市零售市场的动态过程所致(由于需求增加,销售点被吸引到人口密度较高的地区,但由于土地和建筑租金较高,被排除在高收入地区之外)。这种机制可能解释了农村低收入人群接触酒精销售点的机会增加的现象。本研究检验了以下假设:农村城镇之间销售点的分布将反映这些市场动态,即销售点集中在具有以下特征的城镇:(i)常住人口和临时人口较多;(ii)收入较低;(iii)与高收入城镇相邻。
采用贝叶斯条件自回归泊松模型,对澳大利亚维多利亚州农村地区353个离散城镇内的酒吧、餐馆和店外销售点数量进行了分析(平均人口=4236.0,标准差=15754.1)。自变量包括每个城镇的常住人口总数、人口净变化(由于通勤人流、游客以及当地居民向其他城镇的流动[空间相互作用]),以及当地和相邻城镇的收入。
当地收入较低和相邻城镇收入增加与各类销售点数量较多有关。常住人口较多以及通勤导致的净人口增加也预示着所有销售点的数量会更多。酒吧和餐馆与游客导致的净人口增加呈正相关,与空间相互作用呈负相关。
导致低收入地区酒精销售点更为集中的经济地理过程在所有零售市场中都很常见。低收入人群因非居民需求而增加的销售点面临的风险也随之增加。在农村地区,这些过程似乎在离散的城镇之间起作用。