Multifactor analysis for eCommerce business in Europe
Countries | Logistics Performance Index | Ease of Business | e-Gov development index | Inc. internet index | Postal Union Reliability | UNCTAD B2C index | Environmental Performance Index | Cybersecurity index |
Belgium | 3 | 46 | 41 | 21 | 12 | 21 | 15 | 19 |
Netherlands | 6 | 42 | 10 | 16 | 6 | 2 | 11 | 16 |
Spain | 17 | 30 | 17 | 3 | 31 | 24 | 14 | 4 |
Germany | 1 | 22 | 25 | 25 | 2 | 6 | 10 | 13 |
France | 16 | 32 | 19 | 6 | 5 | 17 | 5 | 9 |
Sweden | 2 | 10 | 6 | 1 | 26 | 15 | 8 | 26 |
Denmark | 8 | 4 | 1 | 9 | 45 | 3 | 1 | 32 |
Best Case
Good Case
Ok Case
All partner countries were independently ranked across “EIGHT” set criterion
Countries | Logistics Performance Index | Ease of Business | e-Gov devlopment index | Inc. internet index | Postal Union Reliability | UNCTAD B2C index | Environmental Performance Index | Cybersecurity index | |
Belgium | 0.2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.2 |
Netherlands | 0 | 0 | 0.2 | 0 | 0.2 | 1 | 0 | 0 | 1.4 |
Spain | 0 | 0 | 0 | 0.5 | 0 | 0 | 0 | 1 | 1.5 |
Germany | 1 | 0.2 | 0 | 0 | 1 | 0.2 | 0 | 0.2 | 2.6 |
France | 0 | 0 | 0 | 0.2 | 0.5 | 0 | 0.5 | 0.5 | 1.7 |
Sweden | 0.5 | 0.5 | 0.5 | 1 | 0 | 0 | 0.2 | 0 | 2.7 |
Denmark | 0 | 1 | 1 | 0 | 0 | 0.5 | 1 | 0 | 3.5 |
Best 1
Good 0.5
Ok 0.2
Denmark, Sweden and Germany are “best cases” considering only external factors
Northern and Western regions have high concentration of internet users and e-Shoppers
Europe eCommerce report - 2022
Western Europe contributes to “over 60%” of e-Commerce turnover
Germany
France
Belgium
Netherlands
Spain
Sweden
Denmark
Country | 1.5 times (A) | 3 times (B) | 6 times (C) |
Germany | 29 | 29 | 33 |
Belgium | 39 | 33 | 27 |
Denmark | 23 | 30 | 38 |
France | 34 | 35 | 31 |
Netherlands | 24 | 32 | 44 |
Spain | 41 | 32 | 27 |
Sweden | 26 | 35 | 38 |
Due to “high internet penetration”, most countries have above average usage profiles
Europe eCommerce report - 2022
All values are in percentages
THANK YOU…
APPENDIX
A multi regression conjoint analysis was run to check variables contribution to turnover,
Online consumers are the biggest factor explaining 99.4% of the value
Total Turnover | Basis shopped online (2020) | % who shopped more often due to COVID | Average Spend per person | Online consumers |
0.03 | 0.13 | 0.19 | 0.10 | 0.04 |
0.08 | 0.15 | 0.15 | 0.16 | 0.08 |
0.21 | 0.14 | 0.20 | 0.15 | 0.19 |
0.38 | 0.15 | 0.13 | 0.16 | 0.36 |
0.23 | 0.14 | 0.12 | 0.13 | 0.26 |
0.05 | 0.15 | 0.12 | 0.17 | 0.04 |
0.02 | 0.14 | 0.09 | 0.14 | 0.02 |
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| Coefficients | Standard Error | t Stat | P-value |
Intercept | 0.14404064 | 0.277256814 | 0.519521 | 0.655174569 |
Basis shopped online (2020) | -2.2320727 | 2.48107387 | -0.89964 | 0.46325799 |
% who shopped more often due to COVID | 0.14879759 | 0.194225805 | 0.766106 | 0.523681363 |
Average Spend per person | 1.07702071 | 0.6677462 | 1.612919 | 0.248095797 |
Online consumers | 0.99796994 | 0.058904292 | 16.94223 | 0.003465745 |