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发现
- 去找12015年4月至2018年3月期间，lc -消费者指数平均为4 percent in year-over-year growth.
- 去找2Online spending has driven overall growth in the LC-Consumer Index, at times almost exclusively.
- 去找3Non-local shares of LC-Consumer spending are increasing in every metro we track.
- 去找4Online commerce growth is driven by contributions from non-local merchants.
- 去找5Online spending growth is driven by high-income consumers between the ages of 35 and 54.
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2018年12月
In 2016 the metropolitan share of US Gross Domestic Product was nearly 90%. Given the large share of economic output from metropolitan areas it is critical for stakeholders, 研究人员, 政策制定者也要有颗粒, high-frequency economic measurement and analyses at the metropolitan level to complement existing local economic research.
在这份报告中, the 澳博官方网站app 研究所 expands the scope of our Local Commerce (LC) analyses through the introduction of our consumer view – namely, 居住在给定都市区内的消费者执行的事务. 这种观点补充了我们现有的商业观点 本地商业指数 which examines the transactions executed at merchants located within a given metro area. The consumer view enables exploration of the extent to which online commerce has affected growth, 谁推动了这种增长, 以及它对线下市场的影响.
地方商业的维度是什么?
The 澳博官方网站app 研究所 frames the Local Commerce lens along three dimensions:
- 客户的住所,
- 商户位置;及
- 交易通道(线上/线下)
Customer and merchant locations allow us to understand the extent to which customers are shopping at local merchants versus merchants that are located in different metro areas. The transaction channel allows us to understand whether or not the purchase was a made at a distance.
找到一个: 2015年4月至2018年3月期间，lc -消费者指数平均为4 percent in year-over-year growth.
发现二: Online spending has driven overall growth in the LC-Consumer Index, at times almost exclusively.
发现三: Non-local shares of LC-Consumer spending are increasing in every metro we track.
发现四: Online commerce growth is driven by contributions from non-local merchants.
- Overall spending growth is dominated by contributions from online spending at non-local merchants, 造成3.2和4.2016年和2017年分别为1pp. 这是和较小的1相比.5和1.1 pp contributions from online spending at local merchants in 2016 and 2017, respectively.
- For offline transactions, spending at local merchants is the dominant driver of growth
发现五: Online spending growth is driven by high-income consumers between the ages of 35 and 54.
- Consumers under 35 across all income brackets tend to contribute strongly to online growth, but high-income 35-54 year olds are the dominant contributors to growth in the online market. 这个小组贡献了3.2017年整体增长3%.
- The growth contributions from high-income 35-54 year olds were 94 percent higher than the next closest group (low-income consumers under 35) in 2017.
- This dominance by high-income 35-54 year olds is largely driven by the fact they hold the largest market share in online spending.
The consumer view of Local Commerce provides a granular view of online spending and its implications for local economies that is difficult to capture via other data sources. Our initial analysis has revealed that the growth rate for online spending is highest for lower income customers under 35, but the largest contributions to growth come from the high-income 35-54 year olds. High and growing shares of LC-Consumer spending take place online and this is true across all metro areas we tracked. This growth in online spending has been accompanied by an increase in spending at merchants that are located outside the metro area of the consumer. 这些变化对当地经济的影响尚不清楚, but the LC-Consumer Index can provide unprecedented insight into an evolving commerce landscape.
