{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T02:08:12Z","timestamp":1740103692650,"version":"3.37.3"},"reference-count":16,"publisher":"Wiley","license":[{"start":{"date-parts":[[2020,12,30]],"date-time":"2020-12-30T00:00:00Z","timestamp":1609286400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["11861019","KY[2018]046","[2019]1047","[2020]1Z001"],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Guizhou Talent Development Project in Science and Technology","award":["11861019","KY[2018]046","[2019]1047","[2020]1Z001"]},{"DOI":"10.13039\/501100005329","name":"Natural Science Foundation of Guizhou Province","doi-asserted-by":"publisher","award":["11861019","KY[2018]046","[2019]1047","[2020]1Z001"],"id":[{"id":"10.13039\/501100005329","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Complexity"],"published-print":{"date-parts":[[2020,12,30]]},"abstract":"With the deepening of reform and opening-up, China\u2019s economy has been further developed, but there is still a problem of uneven development. It is of great significance to completely construct China\u2019s economic spatial correlation network, to clarify the role and status of each province in the whole network, and to study the influencing factors of the national spatial economic network. In this paper, we employ the network analysis method to analyze China\u2019s economic development in the past 20\u2009years. Based on the modified gravity model, we construct China\u2019s spatial economic network and explore the network structure from three aspects: the whole network structure feature, characteristics of individual provinces in the network, and block model analysis. The results show that (1) China\u2019s spatial economic network has strong internal cohesion, and the hierarchy of the network is becoming less and less obvious. However, the network density is low, and the overall network relationship still needs to be strengthened. (2) The different levels in economic development illustrate the obvious economic unbalance among provinces. (3) The block model analysis results demonstrated that coastal areas are more attractive to other provinces and are playing an important role in driving China\u2019s economy. Finally, we employ Quadratic Assignment Procedure (QAP) regression analysis to analyze the influential factors on spatial economic network. Numerical results show that the geographic proximity and the differences in six factors (industrial structure, level of economic development, degree of opening to the outside world, medical level, size of labor market, and infrastructure) have significant impact on the spatial economic network. Moreover, the influence of these factors on the economic relation among provinces has been gradually strengthened in recent years.<\/jats:p>","DOI":"10.1155\/2020\/6352021","type":"journal-article","created":{"date-parts":[[2020,12,31]],"date-time":"2020-12-31T03:05:12Z","timestamp":1609383912000},"page":"1-13","source":"Crossref","is-referenced-by-count":43,"title":["China\u2019s Spatial Economic Network and Its Influencing Factors"],"prefix":"10.1155","volume":"2020","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3616-5344","authenticated-orcid":true,"given":"Guihai","family":"Yu","sequence":"first","affiliation":[{"name":"School of Mathematics and Statistics, Guizhou University of Finance and Economics, Guiyang, Guizhou 550025, China"}]},{"given":"Deyan","family":"He","sequence":"additional","affiliation":[{"name":"School of Mathematics and Statistics, Guizhou University of Finance and Economics, Guiyang, Guizhou 550025, China"}]},{"given":"Wenlong","family":"Lin","sequence":"additional","affiliation":[{"name":"School of Mathematics and Statistics, Guizhou University of Finance and Economics, Guiyang, Guizhou 550025, China"}]},{"given":"Qiuhua","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Mathematics and Statistics, Guizhou University of Finance and Economics, Guiyang, Guizhou 550025, China"}]},{"given":"Jianxiong","family":"Xiao","sequence":"additional","affiliation":[{"name":"School of Mathematics and Statistics, Guizhou University of Finance and Economics, Guiyang, Guizhou 550025, China"}]},{"given":"Xiaofang","family":"Lei","sequence":"additional","affiliation":[{"name":"School of Mathematics and Statistics, Guizhou University of Finance and Economics, Guiyang, Guizhou 550025, China"}]},{"given":"Zhongqun","family":"Xie","sequence":"additional","affiliation":[{"name":"School of Mathematics and Statistics, Guizhou University of Finance and Economics, Guiyang, Guizhou 550025, China"}]},{"given":"Renjie","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Mathematics and Statistics, Guizhou University of Finance and Economics, Guiyang, Guizhou 550025, China"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"crossref","DOI":"10.1017\/CBO9780511815478","volume-title":"Social Network Analysis: Methods and Applications","author":"S. 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Li","year":"2020","journal-title":"China Circulation Economy"},{"issue":"S1","key":"8","first-page":"242","article-title":"Analysis of spatial connection between urban group in inner Mongolia based on modified gravity model(in Chinese)","volume":"41","author":"Y. Yang","year":"2020","journal-title":"Construction Economy"},{"key":"9","first-page":"140","article-title":"Analysis of innovative spatial correlation network of Chinese urban agglomeration in high-speed rail(in Chinese)","volume":"7","author":"X. Zha","year":"2019","journal-title":"Price: Theory and Practice"},{"key":"10","first-page":"123","article-title":"Space and network features and influential factor in energy trade in the silkroad economy zone(in Chinese)","volume":"3","author":"W. Wang","year":"2020","journal-title":"Guizhou Social Sciences"},{"issue":"9","key":"11","first-page":"4123","article-title":"The spatial association structure evolution of carbon emissions in Chengdu-Chongqing urban agglomeration and its influence mechanism(in Chinese)","volume":"40","author":"X. Wang","year":"2020","journal-title":"China Environmental Science"},{"issue":"5","key":"12","first-page":"26","article-title":"Research on structural change characteristics and influencing factors of electronic products trade network along the belt and road: based on complex network analysis method(in Chinese)","volume":"41","author":"W. Jiang","year":"2020","journal-title":"International Business Research"},{"key":"13","first-page":"15","article-title":"Characteristics of spatial networks and the influencing mechanism of the middle reaches of Yangtze River(in Chinese)","volume":"10","author":"X. Shao","year":"2019","journal-title":"Urban Problems"},{"issue":"Z1","key":"14","first-page":"92","article-title":"Structural characteristics and influencing factors of urban financial network in Yangtze River delta region: a study based on bank branch data","volume":"1","author":"M. Liu","year":"2020","journal-title":"Shanghai Business"},{"doi-asserted-by":"publisher","key":"15","DOI":"10.1016\/0378-8733(88)90004-4"},{"volume-title":"Lectures on Whole Network Approach, a Practical Guide to UCINET","year":"2006","author":"J. Liu","key":"16"}],"container-title":["Complexity"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/complexity\/2020\/6352021.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/complexity\/2020\/6352021.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/complexity\/2020\/6352021.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,12,31]],"date-time":"2020-12-31T03:05:24Z","timestamp":1609383924000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/complexity\/2020\/6352021\/"}},"subtitle":[],"editor":[{"given":"Serafin Martinez","family":"Jaramillo","sequence":"additional","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2020,12,30]]},"references-count":16,"alternative-id":["6352021","6352021"],"URL":"https:\/\/doi.org\/10.1155\/2020\/6352021","relation":{},"ISSN":["1099-0526","1076-2787"],"issn-type":[{"type":"electronic","value":"1099-0526"},{"type":"print","value":"1076-2787"}],"subject":[],"published":{"date-parts":[[2020,12,30]]}}}