지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2024.6
- 수록면
- 284 - 317 (34page)
- DOI
- 10.1080/12265934.2023.2253198
이용수
초록· 키워드
오류제보하기
City's economic development is increasingly dependent on its positionality in urban networks built on various intercity element flows. In this study, based on data crawling and gravity modelling, seven urban networks of 286 prefecture-level and above cities in mainland China were constructed for 2011 and 2019, and various influencing factors were analyzed. A qualitative comparative analysis was then employed to explore the impacts of urban connectivity in different networks on the urban economy and shed light on the optimal combination of networks to support urban economic growth effectively. The results demonstrate that in 2011, intercity capital, information, trade, knowledge, and technology networks were all essential to urban economic development, while the labour and transportation networks were supporting the former five networks. In 2019, urban development relied more on innovative knowledge and technology networks rather than labour, information, transportation, and trade networks. The importance of the capital network decreased, whereas the knowledge and technology networks still played significant roles in urban economic growth, suggesting an overall transformation to an innovation-driven economy in China.
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