Mapping disciplinary differences of knowledge production and collaboration networks in China
The knowledge economy – defined here as production and services based on knowledge intensive activities – is widely recognized to have accelerated knowledge production and spillovers through a deepening of collaborative networks that can extend over extensive geographical distances. However, limited...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2020-01-01
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| Series: | Regional Studies, Regional Science |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/21681376.2020.1771201 |
| _version_ | 1818822073796001792 |
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| author | Wei Chen Nyuying Wang Zhigao Liu |
| author_facet | Wei Chen Nyuying Wang Zhigao Liu |
| author_sort | Wei Chen |
| collection | DOAJ |
| description | The knowledge economy – defined here as production and services based on knowledge intensive activities – is widely recognized to have accelerated knowledge production and spillovers through a deepening of collaborative networks that can extend over extensive geographical distances. However, limited by data availability, the geography of China’s knowledge production and collaborative networks, segmented by different disciplines, has been little studied in economic geography or innovation studies. This paper draws on data on academic publications that were extracted from the China Academic Journal Network Publishing Database (CAJD) in order to construct knowledge production and collaboration networks for different disciplines in China. The results depict a series of maps that show that: (1) the ‘hard’ sciences (natural sciences and engineering) outperform much more than the ‘soft’ sciences (humanities and social sciences) both in article number and collaboration strength; and (2) large metropolises have overwhelming advantages in the terms of both paper production and the collaboration strength for all disciplines, despite varying among different disciplines. These uneven geographical patterns can be partially attributed to a high concentration of scientific resources in a few large cities, which was inherited from the Maoist period. |
| first_indexed | 2024-12-18T23:18:17Z |
| format | Article |
| id | doaj.art-e36eac0a3e40497f9a91da3614a98c5d |
| institution | Directory Open Access Journal |
| issn | 2168-1376 |
| language | English |
| last_indexed | 2024-12-18T23:18:17Z |
| publishDate | 2020-01-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Regional Studies, Regional Science |
| spelling | doaj.art-e36eac0a3e40497f9a91da3614a98c5d2022-12-21T20:48:05ZengTaylor & Francis GroupRegional Studies, Regional Science2168-13762020-01-017121021310.1080/21681376.2020.17712011771201Mapping disciplinary differences of knowledge production and collaboration networks in ChinaWei Chen0Nyuying Wang1Zhigao Liu2Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of SciencesCollege of Urban and Environmental Sciences, Peking UniversityKey Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of SciencesThe knowledge economy – defined here as production and services based on knowledge intensive activities – is widely recognized to have accelerated knowledge production and spillovers through a deepening of collaborative networks that can extend over extensive geographical distances. However, limited by data availability, the geography of China’s knowledge production and collaborative networks, segmented by different disciplines, has been little studied in economic geography or innovation studies. This paper draws on data on academic publications that were extracted from the China Academic Journal Network Publishing Database (CAJD) in order to construct knowledge production and collaboration networks for different disciplines in China. The results depict a series of maps that show that: (1) the ‘hard’ sciences (natural sciences and engineering) outperform much more than the ‘soft’ sciences (humanities and social sciences) both in article number and collaboration strength; and (2) large metropolises have overwhelming advantages in the terms of both paper production and the collaboration strength for all disciplines, despite varying among different disciplines. These uneven geographical patterns can be partially attributed to a high concentration of scientific resources in a few large cities, which was inherited from the Maoist period.http://dx.doi.org/10.1080/21681376.2020.1771201knowledge productionknowledge networkdisciplinary differencecity networkchina |
| spellingShingle | Wei Chen Nyuying Wang Zhigao Liu Mapping disciplinary differences of knowledge production and collaboration networks in China Regional Studies, Regional Science knowledge production knowledge network disciplinary difference city network china |
| title | Mapping disciplinary differences of knowledge production and collaboration networks in China |
| title_full | Mapping disciplinary differences of knowledge production and collaboration networks in China |
| title_fullStr | Mapping disciplinary differences of knowledge production and collaboration networks in China |
| title_full_unstemmed | Mapping disciplinary differences of knowledge production and collaboration networks in China |
| title_short | Mapping disciplinary differences of knowledge production and collaboration networks in China |
| title_sort | mapping disciplinary differences of knowledge production and collaboration networks in china |
| topic | knowledge production knowledge network disciplinary difference city network china |
| url | http://dx.doi.org/10.1080/21681376.2020.1771201 |
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