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Article: Big data reveal the status of economic development
| Title | Big data reveal the status of economic development 大数据揭示经济发展状况 |
|---|---|
| Authors | |
| Keywords | Big data Economic complexity Economic development Industrial structure Socio-economic systems |
| Issue Date | 30-Jul-2016 |
| Publisher | University of Electronic Science and Technology of China |
| Citation | Journal of the University of Electronic Science and Technology of China, 2016, v. 45, n. 4, p. 625-633 How to Cite? |
| Abstract | With the advent of the era of big data, both the quantity and quality of economic activity related data have been enormously enriched and improved. By analyzing these large-scale data from socio-economic systems, we have the opportunity to quantify the status of economic development instantaneously and accurately with nearly no cost. In this paper, focusing on how big data reveal the status of economic development, we briefly summary the applications of different types of big data on quantifying macro-economic structures and micro-social status. Further, we discuss and provide some promising ways to apply big data to improve regional economic development strategies and upgrade macro industrial structures. |
| Persistent Identifier | http://hdl.handle.net/10722/345604 |
| ISSN | 2023 SCImago Journal Rankings: 0.167 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Gao, Jian | - |
| dc.contributor.author | Zhou, Tao | - |
| dc.date.accessioned | 2024-08-27T09:09:57Z | - |
| dc.date.available | 2024-08-27T09:09:57Z | - |
| dc.date.issued | 2016-07-30 | - |
| dc.identifier.citation | Journal of the University of Electronic Science and Technology of China, 2016, v. 45, n. 4, p. 625-633 | - |
| dc.identifier.issn | 1001-0548 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/345604 | - |
| dc.description.abstract | <p>With the advent of the era of big data, both the quantity and quality of economic activity related data have been enormously enriched and improved. By analyzing these large-scale data from socio-economic systems, we have the opportunity to quantify the status of economic development instantaneously and accurately with nearly no cost. In this paper, focusing on how big data reveal the status of economic development, we briefly summary the applications of different types of big data on quantifying macro-economic structures and micro-social status. Further, we discuss and provide some promising ways to apply big data to improve regional economic development strategies and upgrade macro industrial structures.<br></p> | - |
| dc.language | chi | - |
| dc.publisher | University of Electronic Science and Technology of China | - |
| dc.relation.ispartof | Journal of the University of Electronic Science and Technology of China | - |
| dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
| dc.subject | Big data | - |
| dc.subject | Economic complexity | - |
| dc.subject | Economic development | - |
| dc.subject | Industrial structure | - |
| dc.subject | Socio-economic systems | - |
| dc.title | Big data reveal the status of economic development | - |
| dc.title | 大数据揭示经济发展状况 | - |
| dc.type | Article | - |
| dc.identifier.doi | 10.3969/j.issn.1001-0548.2016.04.015 | - |
| dc.identifier.scopus | eid_2-s2.0-84982999558 | - |
| dc.identifier.volume | 45 | - |
| dc.identifier.issue | 4 | - |
| dc.identifier.spage | 625 | - |
| dc.identifier.epage | 633 | - |
| dc.identifier.issnl | 1001-0548 | - |