美国农村地区的零售模式发生了怎样的变化?内布拉斯加州的案例研究

A. Giri, B. Johnson
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引用次数: 2

摘要

本研究使用来自内布拉斯加州税务局的数据,调查了1990年至2015年间内布拉斯加州在不同空间尺度上的零售活动和趋势。用于评估零售实力的主要测量单位是拉力因子。拉力因子(PF)被广泛用于识别和衡量跨政治边界的零售贸易的泄漏和/或捕获,以及识别随时间变化的趋势。零售业是任何经济体的一个重要部门,被视为整体经济表现的一个指标而受到密切关注。2015年,内布拉斯加州的应税零售总额超过230亿美元(略高于该州生产总值的13%)。结果表明,人口是影响零售活动的最大因素。一项基于人口类别的顶级零售业表现分析显示,除了一个城镇外,所有城镇都采用了税收转移的影响,根据《地方选择税收法案》(适用于城市)或《内布拉斯加州税收法案》13-319至13-325(适用于县)征收地方销售税,与他们的贸易捕获市有关。本研究还发现,机动车购买指数越高(越低),县零售对其他应税销售活动的拉动系数越低(越高)。这是因为平均而言,农村县居民在购买机动车上的花费比他们的大都市县同胞要多,这使得他们用于其他零售活动的可支配收入更少,因为全州家庭收入中位数没有显著差异。
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How have retail sales patterns changed across rural America? A case study of Nebraska
This study investigates retailing activity and trends at different spatial scales for the last quarter of a century, from 1990 to 2015, for Nebraska using data from the Nebraska Department of Revenue. The primary unit of measurement used to assess the retail strength was Pull Factor. The Pull Factor (PF), is widely used to identify and measure leakage and/or capture of retail trade across political boundaries as well as identifying trends over time. Retailing is an important sector of any economy at all geographic levels and is watched carefully as an indicator of overall economic performance. For 2015 total taxable retail sales for the state was over 23 billion nominal dollars (slightly more than 13 percent of State Gross Product) for Nebraska. Results showed that population was the single largest factor that affected retailing activity. An analysis of top retail performers based on population class showed that all but one town employing the tax shift implications, by levying a local sales tax under the Local Option Revenue Act (applicable to cities) or Nebraska Revenue Statue 13-319 to 13-325 (applicable to counties), associated with their being trade-capture municipalities. This study also found that the higher (lower) the purchase index for motor vehicles, the lower (higher) the county retail pull factor for other taxable sales activity. This was because on average rural county residents spent relatively more on motor vehicle purchases than their metropolitan county cousins, which left less disposable income for other retail activity given no drastic differences in median household income levels across the state.
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