Resources & Industries ›› 2025, Vol. 27 ›› Issue (3): 54-65.DOI: 10.13776/j.cnki.resourcesindustries.20250220.001

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QUALITY DEVELOPMENT MEASUREMENT AND SPATIAL NETWORK EFFECTS OF MANUFACTURING IN WESTERN CHINA

AOBULI Talipu1,2, ZHAO Guangming1, WUSIMAN Niyazi1   

  1. (1.Business School, Xinjiang Normal University,Urumqi, 830017, China;2. Research Center for High Quality Industrial Development in the Core Area of the Silk Road Economic Belt, Urumqi 830017, China)

  • Received:2024-09-24 Revised:2025-01-07 Online:2025-06-20 Published:2025-06-20

西部地区制造业高质量发展测度及空间网络效应研究

奥布力·塔力普1, 2,赵光明1,乌斯曼·尼牙孜1
  

  1. (1.新疆师范大学  商学院,新疆 乌鲁木齐 830017;2.丝绸之路经济带核心区产业高质量发展研究中心,新疆 乌鲁木齐 830017)
  • 通讯作者: 乌斯曼·尼牙孜,学士、副教授,主要从事产业经济、生态经济、劳动力就业研究。E-mail:949318672@qq.com
  • 作者简介:奥布力·塔力普,博士、副教授,主要从事产业经济、生态经济、空间经济研究。E-mail:846825572@qq.com
  • 基金资助:
    国家社会科学基金西部项目(22XJY037);新疆师范大学智库项目(ZK202328C)。

Abstract: This paper, based on 2015—2022 manufacturing data of 11 provinces in western China, uses Moran index and social network method to establish a manufacturing quality development correlated network combined with corrected gravity model, which is applied to analyze spatial network structures and evolution of western China's manufacturing. Moran index indicates outstandingly positive with quality development of western China's manufacturing, and stably. Sichuan and Chongqing shed strong radiation around their surrounding areas, Xinjiang trends to be independent, and Ningxia had long been at the marginal network before 2022. Corrected gravity model shows a rising density and overall efficiency of quality development spatial correlated network in western China. Increasing degree centrality, highly frequent inter-provincial communications, rising mediation centrality, and a balanced network structure suggest the quality development in western China's manufacturing be of vast spatial differentiation and imbalance with a shrinking gap. The overall strength of southwestern is stronger than northwestern due to its better economy and infrastructures which attract lots of productive elements driving the manufacturing. Sichuan and Chongqing as the engines for regional development play a strong leading role to their surrounding areas, and Shaanxi is also improving its influence, Xinjiang and Ningxia, underdeveloped, are gradually improving in regional cooperation and industrial transfer. Shanxi pushes its industrial upgrade through innovation, Ningxia accelerates new/old engines conversion via industrial upgrade, and Xinjiang advances in manufacturing, all grow with locally featured industries. Such strategies and practices provide solid supports for quality development of western China's manufacturing.

Key words: manufacturing, gravity model, social network analysis, Moran index, western China

摘要: 基于2015—2022年西部地区11个省制造业数据,运用莫兰指数和社会网络分析方法,结合修正的引力模型,构建制造业高质量发展关联网络,分析西部地区制造业网络空间结构特征以及演变规律。研究结果表明:1)通过莫兰指数测算出西部地区制造业高质量发展呈现显著的正相关性,且较为稳定;2)四川和重庆对周围辐射带动作用较强,新疆则是倾向于自身独立发展,宁夏则是在2022年之前长期游离在网络边缘;3)利用改进引力模型得到西部地区高质量发展空间关联网络的网络密度和网络效率总体呈上升趋势;4)网络的度数中心度逐渐增加,省际联系日益紧密,中介中心度也呈增加趋势,网络结构逐渐向均衡化发展。因此,西部地区制造业高质量发展存在显著的空间分异和非均衡发展特点,但是其差异逐渐缩小。西南地区整体实力超过西北地区,主要是因为其经济基础和基础设施更优越,吸引了大量生产要素,促进了制造业的快速发展。四川和重庆作为区域发展的引擎,对周边地区有显著的带动作用,而陕西也在逐渐提升其影响力。新疆和宁夏虽然相对落后,但在区域合作和产业转移中逐步提升发展水平。陕西通过科技创新推动产业升级,宁夏则通过产业转型升级加快新旧动能转换,新疆则在装备制造业方面取得进展,形成了具有地方特色的产业体系。这些发展策略和实践为西部地区制造业高质量发展提供了有力支撑。

关键词: 制造业, 引力模型, 社会网络分析, 莫兰指数, 西部地区

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