English

应用科学学报 >

2026 , Vol. 44 >Issue 3: 409 - 421

DOI: https://doi.org/10.3969/j.issn.0255-8297.2026.03.005

智能信息处理

城市绿色竞争力对外作用强度及其空间网络关系分析——以辽宁省为例

  • 郭力娜 ,
  • 杨月恒 ,
  • 赵艳霞
展开
  • 华北理工大学矿业工程学院, 河北 唐山 063210

收稿日期: 2022-11-02

  网络出版日期: 2026-06-23

基金资助

辽宁省国土空间生态修复规划编制（专题研究）（No.20210208）；河北省教育厅人文社会科学研究重大课题攻关项目（No.ZD202207）；河北省社会科学基金（No.HB19SH006）；国家自然科学基金（No.41771560,No.41671519）

收起

Analysis on the External Action Intensity and Spatial Network Relationship of Urban Green Competitiveness: A Case Study of Liaoning Province

  • GUO Lina ,
  • YANG Yueheng ,
  • ZHAO Yanxia
Expand
  • College of Mining Engineering, North China University of Science and Technology, Tangshan 063210, Hebei, China

Received date: 2022-11-02

  Online published: 2026-06-23

Fold

摘要

伴随着城市规模的不断扩大和城市群的快速成长，城市空间发展不平衡、资源分配不均衡的问题开始出现，如何优化城市空间结构成为目前的重点问题。运用主成分分析法测算2015—2020年辽宁省城市绿色竞争力质量水平，利用构建的修正引力模型对辽宁省城市对外作用强度及其空间网络关系进行分析。研究结果表明： 1）辽宁省城市群绿色竞争力质量水平整体在不断提高，但强弱不平衡的格局并没有得到显著改善； 2）辽宁省城市对外作用强度在一定程度上有所提升，但城市间差异现象依然存在，特别是沈阳市、本溪市的数值远超其他城市； 3）辽宁省城市群整体相互作用强度网络结构较为紧密，城市间互动频繁且充满活力。

关键词： 绿色竞争力; 对外作用强度; 主成分分析; 引力模型; 空间网络

本文引用格式

郭力娜 , 杨月恒 , 赵艳霞 . 城市绿色竞争力对外作用强度及其空间网络关系分析——以辽宁省为例[J]. 应用科学学报, 2026 , 44(3) : 409 -421 . DOI: 10.3969/j.issn.0255-8297.2026.03.005

Abstract

With the continued expansion of cities and the rapid growth of urban agglomerations, problems such as unbalanced spatial development and uneven resource allocation have emerged. Optimizing urban spatial structure has become a key issue. This study used principal component analysis (PCA) to measure the quality level of urban green competitiveness in Liaoning Province from 2015 to 2020 and applied a modified gravity model to analyze external action intensity and spatial network relationships. The results are as follows. 1) The overall quality level of green competitiveness of urban agglomerations in Liaoning Province is constantly improving, but the pattern of imbalance between cities with strong and weak competitiveness has not been significantly improved. 2) The external action intensity of cities in Liaoning Province has improved to a certain extent, but differences remain among cities, especially in Shenyang and Benxi, which have values far higher than those of other cities. 3) The network structure of the overall interaction intensity among urban agglomerations in Liaoning Province is relatively dense, with frequent and dynamic interactions among cities.

Key words： green competitiveness; external action intensity; principal component analysis; gravity model; spatial network

参考文献

[1] 肖德, 于凡. 中国城市群经济高质量发展测算及差异比较分析[J]. 宏观质量研究, 2021, 9(3): 86-98. Xiao D, Yu F. A measurement and comparative analysis of high quality economic development of Chinese urban agglomerations [J]. Journal of Macro-Quality Research, 2021, 9(3): 86-98. (in Chinese)
[2] 周翼, 陈英, 谢保鹏, 等. 关中平原城市群城市联系与影响范围分析[J]. 地域研究与开发, 2019, 38(3): 54-59. Zhou Y, Chen Y, Xie B P, et al. Connection and influence scope of Guanzhong Plain urban group [J]. Areal Research and Development, 2019, 38(3): 54-59. (in Chinese)
[3] 魏国恩, 朱翔, 贺清云. 环长株潭城市群空间联系演变特征与对策研究[J]. 长江流域资源与环境, 2018, 27(9): 1958-1966. Wei G E, Zhu X, He Q Y. Study on the evolution characteristics and countermeasures of spatial evolvement relation in urbanagglomeration around Changsha-Zhuzhou-Xiangtan [J]. Resources and Environment in the Yangtze Basin, 2018, 27(9): 1958-1966. (in Chinese)
[4] 王莎, 童磊, 贺王德. 京津冀城市群经济联系的定量测度[J]. 技术经济, 2019, 38(10): 74-81. Wang S, Tong L, He W D. Quantitative measurement of economic linkages between BeijingTianjin-Hebei urban agglomeration [J]. Technology Economics, 2019, 38(10): 74-81. (in Chinese)
[5] 李泽宇, 董春, 张玉. 东北三省城市区域经济联系强度[J]. 遥感信息, 2018, 33(2): 108-113. Li Z Y, Dong C, Zhang Y. Intensity of urban regional economic linkages in three provinces of Northeast China [J]. Remote Sensing Information, 2018, 33(2): 108-113. (in Chinese)
[6] 赵朝, 潘豫, 刘冠群. 基于引力模型的长吉图开发开放先导区城市一体化测度[J]. 统计与决策, 2018, 34(6): 102-105. Zhao C, Pan Y, Liu G Q. Urban integration measurement of Changji-Map development pilot area based on gravity model [J]. Statistics and Decision, 2018, 34(6): 102-105. (in Chinese)
[7] 马强, 郭建科. 环渤海地区城市交通可达性及其经济联系强度变化[J]. 资源开发与市场, 2021, 37(3): 312-319. Ma Q, Guo J K. Urban transportation accessibility and economic link intensity change in Bohai Rim region [J]. Resource Development and Market, 2021, 37(3): 312-319. (in Chinese)
[8] 相雪梅. 省内城市间经济关联结构研究——基于引力模型中Kij的修正[J]. 技术经济, 2020, 39(10): 128-137. Xiang X M. Research on intercity economic linkage structure within a province: based on the correction of Kij in the gravity model [J]. Technology Economics, 2020, 39(10): 128-137. (in Chinese)
[9] 朱金勋, 高维新, 温馨. “一带一路” 沿线国家经济联系强度及其影响因素分析[J]. 统计与决策, 2021, 37(22): 103-106. Zhu J X, Gao W X, Wen X. Analysis on the strength of economic linkages and its influencing factors among countries along the Belt and Road [J]. Statistics and Decision, 2021, 37(22): 103- 106. (in Chinese)
[10] 吴程锦. 京津冀地区绿色发展竞争力评价研究[D]. 保定: 河北大学, 2017.
[11] 赵冬青, 王钦. 甘肃省经济绿色竞争力系统动力学仿真评价及预测[J]. 科技管理研究, 2020, 40(11): 206-215. Zhao D Q, Wang Q. System dynamics simulation evaluation and prediction of economic green competitiveness in Gansu Province [J]. Science and Technology Management Research, 2020, 40(11): 206-215. (in Chinese)
[12] 邵猷根. 基于系统动力学的江西省区域绿色竞争力提升政策设计研究[D]. 南昌: 江西师范大学, 2020.
[13] 江洪, 刘志刚, 叶茂, 等. 城市竞争力的理论基础及其特点初探[J]. 经济问题探索, 2012(6): 54-58. Jiang H, Liu Z G, Ye M, et al. A preliminary study on the theoretical basis and characteristics of urban competitiveness [J]. Exploration of Economic Issues, 2012(6): 54-58. (in Chinese)
[14] 李妍, 朱建民. 生态城市规划下绿色发展竞争力评价指标体系构建与实证研究[J]. 中央财经大学学报, 2017(12): 130-138. Li Y, Zhu J M. Study on establishment and demonstration of evaluation indicator system for green development competitiveness based on eco-city planning [J]. Journal of Central University of Finance and Economics, 2017(12): 130-138. (in Chinese)
[15] 严宇珺, 严运楼. 江浙沪地区城市绿色发展竞争力评价指标体系设计与实证研究[J]. 生态经济, 2021, 37(8): 49-54. Yan Y J, Yan Y L. An empirical study on the evaluation index system of urban green development competitiveness: taking Jiangsu, Zhejiang and Shanghai as an example [J]. Ecological Economy, 2021, 37(8): 49-54. (in Chinese)
[16] 陈运平, 宋向华, 黄小勇, 等. 我国省域绿色竞争力评价指标体系的研究[J]. 江西师范大学学报(哲学社会科学版), 2016, 49(3): 57-65. Chen Y P, Song X H, Huang X Y, et al. Study on evaluation index system of provincial green competitiveness [J]. Journal of Jiangxi Normal University (Philosophy and Social Sciences Edition), 2016, 49(3): 57-65. (in Chinese)
[17] 陈如铁, 杨青山, 宋宁, 等. 辽宁省新型城镇化路径及其影响因素[J]. 经济地理, 2017, 37(3): 71-80. Chen R T, Yang Q S, Song N, et al. The new urbanization path and influencing factors in Liaoning Province [J]. Economic Geography, 2017, 37(3): 71-80. (in Chinese)
[18] 刘明, 聂青, 谢飞. 基于主成分分析的青岛市科技人力资源生态环境评价研究[J]. 科技管理研究, 2018, 38(6): 54-59. Liu M, Nie Q, Xie F. Research on evaluation of ecological environment in science and technology talents based on principal component analysis in Qingdao [J]. Science and Technology Management Research, 2018, 38(6): 54-59. (in Chinese)
[19] 徐放. 粤港澳大湾区城市群经济联系及空间结构特征研究[D]. 广州: 华南理工大学, 2019.
[20] 于谨凯, 马健秋. 山东半岛城市群经济联系空间格局演变研究[J]. 地理科学, 2018, 38(11): 1875- 1882. Yu J K, Ma J Q. Spatial pattern evolution of economic links in Shandong Peninsula urban agglomeration [J]. Scientia Geographica Sinica, 2018, 38(11): 1875-1882. (in Chinese)
[21] 蔡丽娟. 中三角城市群城市经济联系的时空演变分析[D]. 长沙: 湖南大学, 2016.
[22] 王承云, 沈泽洲. 江苏省城市综合创新竞争力时空联系研究[J]. 华东经济管理, 2020, 34(11): 9-17. Wang C Y, Shen Z Z. A study on the spatial-temporal relationship of urban comprehensive innovation competitiveness in Jiangsu Province [J]. East China Economic Management, 2020, 34(11): 9-17. (in Chinese)
[23] 李政, 刘丰硕. 创新型城市试点能否提升城市绿色创新水平[J]. 社会科学研究, 2021(4): 91-99. Li Z, Liu F S. Whether innovation-oriented city pilot can improve the level of green innovation of cities [J]. Social Science Research, 2021(4): 91-99. (in Chinese)
Options
文章导航

/

〈 〉