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| 001 | 00004932 | ||
| 003 | ES-MaONT | ||
| 005 | 20211006062602.0 | ||
| 008 | 190314s2019 ||||frt i 01 u|eng u | ||
| 024 |
_2doi _a10.1787/8c408f92-en _d. |
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| 040 | _aES-MaONT | ||
| 110 |
_aOrganización de Cooperación y Desarrollo Económico _92843 |
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| 245 | 0 | 0 |
_aBBVA big data on online credit card transactions _b: The patterns of domestic and cross-border e-commerce _c/ OECD |
| 260 |
_aParis : _bOECD Publishing, _cMarch 2019 |
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| 300 |
_a55 p. _b: tablas _c; 1 documento PDF |
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| 336 |
_atexto (visual) _2isbdcontent |
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| 337 |
_aelectrónico _2isbdmedia |
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| 338 |
_arecurso en línea _2rdacarrier _bcr |
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| 490 | 1 |
_aOECD Digital Economy Papers _v; March 2019, No. 278 |
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| 520 | _aThis report uses a standard gravity setup to analyse the determinants of e-commerce, using data on online credit card payments by private Spanish customers of the multinational bank BBVA. The results show that the gravity model applies well to credit card payments, explaining up to 95% of the variation in the data. The analysis finds potentially large border effects for trade between any two regions or countries, implying that individuals tend to purchase more from their home region or domestically than from other places. The estimates also suggest that the effect of distance might be slightly less important for e-commerce transactions than for offline trade, although the death of distance hypothesis is clearly rejected by the data | ||
| 650 | 0 |
_aTecnologías habilitadoras digitales _918 |
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| 653 | _ae-commerce | ||
| 653 | _aonline credit card | ||
| 653 | _aBBVA | ||
| 653 | _acredit card payments | ||
| 653 | _aCross-border | ||
| 830 | 0 |
_aOECD Digital Economy Papers _92551 |
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| 856 | 4 | 2 |
_uhttps://doi.org/10.1787/8c408f92-en _x0 _yAcceso a la publicación _qpdf |
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_cINF _2z |
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