Spatial and big data analytics of E-market transaction in China
| Autor: | Xinyue Ye, Zeng Lian, Bing She, Sonali Kudva |
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| Rok vydání: | 2019 |
| Předmět: |
Scope (project management)
business.industry media_common.quotation_subject 05 social sciences Geography Planning and Development Big data 0211 other engineering and technologies 0507 social and economic geography 021107 urban & regional planning 02 engineering and technology Gravity model of trade Human geography Value (economics) Market transaction business China 050703 geography Industrial organization Reputation media_common |
| Zdroj: | GeoJournal. 85:329-341 |
| ISSN: | 1572-9893 0343-2521 |
| DOI: | 10.1007/s10708-018-09964-y |
| Popis: | This study uses a big data approach and gravity model to quantify the scope and sources of online transactions in urban China and explore the driving forces, based on data from the Taobao platform for online cellphone transactions from June to December in 2011. Comparison among Jing-Jin-Ji Region, Yangtze River Delta, and Pearl River Delta shows that a higher level of economic development corresponds to the more developed logistics industry and more C2C Taobao shops. The regression results illustrate that distance, GDP, and population density are the three main factors which influence the volume and number of trades in the e-marketplace. The number and reputation of traders by relative value also promote the volume and numbers of trades significantly. Additionally, the big data from the Taobao platform provides evidence that the gravity model is valid in estimating the amounts of online transactions. |
| Databáze: | OpenAIRE |
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