Review Article

The Influence of Big Data Analytics on E-Commerce: Case Study of the U.S. and China

Table 1

Retail e-commerce sales in the U.S. and China.

YearU.S.China
Total retail sales ($ billion)Retail e-commerce sales ($ billion)Proportion of e-commerce in total retailGrowth rate of retail e-commerceTotal retail sales (¥ billion)Retail e-commerce sales (¥ billion)Total retail sales ($ billion)Retail e-commerce sales ($ billion)Proportion of e-commerce in total retailGrowth rate of retail e-commerce

20175076.00453.468.93%16.54%36626.207175.105420.641061.9119.59%39.17%
20164856.33389.118.01%14.39%33231.635155.575002.46776.0815.51%32.97%
20154725.99340.167.20%13.98%30093.083877.324789.13617.0512.88%38.98%
20144639.44298.446.43%14.47%27189.612789.804415.24453.0310.26%49.70%
20134458.45260.725.85%13.23%23780.991863.603865.39302.917.84%42.15%
20124302.23230.265.35%15.38%21030.701311.003332.67207.756.23%67.52%
20114102.95199.564.86%17.45%18391.86782.602844.60121.044.26%53.72%
20103818.05169.924.45%16.78%15699.84509.102319.0475.203.24%96.87%
20093612.47145.514.03%2.76%13267.84258.601942.3237.861.95%105.73%
20083935.32141.593.60%3.75%10848.77125.701560.3518.081.16%124.06%
20073995.18136.473.42%20.41%8921.0056.101171.777.370.63%163.38%
20063871.57113.332.93%24.02%7641.0021.30958.372.670.28%10.36%
20053689.2891.392.48%25.88%6717.6619.30819.732.360.29%141.25%
20043473.0572.602.09%27.02%5950.108.00719.160.970.13%105.13%
20033262.7357.161.75%28.08%5251.633.90634.470.470.07%129.41%
20023128.5544.621.43%30.25%4813.591.70581.570.210.04%183.33%
20013062.2734.261.12%24.09%4305.540.60520.060.070.01%
20002983.2827.610.93%90.53%3910.57472.37
19992803.0914.490.52%190.73%3564.79430.64
19982581.764.980.19%3337.81402.11

Notes: (1) the data from 2017 U.S. total retail sales and retail e-commerce sales are from the Digitalcommerce360 website (https://www.digitalcommerce360.com/article/us-ecommerce-sales/); other years are from the United States Census Bureau website (https://www.census.gov/); the data for 2017 China total retail sales and retail e-commerce sales are from the China National Bureau of Statistics website and ECRC website (http://www.stats.gov.cn/tjsj/zxfb/201802/t20180228_1585631.html and http://www.100ec.cn/zt/17wlls/); other years are from Yue Hongfei, National Report on E-Commerce Development in China. Inclusive and Sustainable Industrial Development Working Paper Series WP 17, 2017. United Nations Industrial Development Organization. (2) The yearly average exchange rate for USD (US Dollar) to CNY (Chinese Yuan) during the period from 1990 to 2017 shown on the website https://www.ofx.com/en-us/forex-news/historical-exchange-rates/yearly-average-rates/. (3) Date (GMT), (4) rate, (5) date (GMT), (6) rate, (7) date (GMT), (8) rate, (9) 31-Dec-2017, (10) 6.756806, (11) 31-Dec-2007, (12) 7.613239, (13) 31-Dec-1997, (14) 8.319331, (15) 31-Dec-2016, (16) 6.643058, (17) 31-Dec-2006, (18) 7.972895, (19) 31-Dec-1996, (20) 8.338875, (21) 31-Dec-2015, (22) 6.283627, (23) 31-Dec-2005, (24) 8.19495, (25) 31-Dec-1995, (26) 8.370025, (27) 31-Dec-2014, (28) 6.158134, (29) 31-Dec-2004, (30) 8.273679, (31) 31-Dec-1994, (32) 8.639665, (33) 31-Dec-2013, (34) 6.152292, (35) 31-Dec-2003, (36) 8.277176, (37) 31-Dec-1993, (38) 5.779529, (39) 31-Dec-2012, (40) 6.310468, (41) 31-Dec-2002, (42) 8.276877, (43) 31-Dec-1992, (44) 5.52057, (45) 31-Dec-2011, (46) 6.46553, (47) 31-Dec-2001, (48) 8.278869, (49) 31-Dec-1991, (50) 5.333729, (51) 31-Dec-2010, (52) 6.769961, (53) 31-Dec-2000, (54) 8.278676, (55) 31-Dec-1990, (56) 4.792069, (57) 31-Dec-2009, (58) 6.830938, (59) 31-Dec-1999, (60) 8.277917, (61) , (62) 31-Dec-2008, (63) 6.952764, (64) 31-Dec-1998, 8.300753.