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复杂系统与复杂性科学  2026, Vol. 23 Issue (1): 17-25    DOI: 10.13306/j.1672-3813.2026.01.003
  复杂网络 本期目录 | 过刊浏览 | 高级检索 |
黄河流域绿色技术创新网络演化特征及其机制
向博文1, 徐颖2, 徐高峰3
1.武汉大学城市设计学院, 武汉 430072;
2.华中科技大学建筑与城市规划学院, 武汉 430074;
3.北京交通大学建筑与艺术学院, 北京 100044
Evolutionary Mechanism of Green Technology Innovation Network in the Yellow River Basin
XIANG Bowen1, XU Ying2, XU Gaofeng3
1. School of Urban Design, Wuhan University, Wuhan 430072,China;
2. School of Architecture and Urban Planning, Huazhong University of Science and Technology, Wuhan 430074,China;
3. School of Architecture and Design, Beijing Jiaotong University, Beijing 100044,China
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摘要 为揭示黄河流域绿色技术创新合作格局及其影响因素,利用社会网络分析法与指数随机图模型分析2011—2019年黄河流域绿色技术创新网络的空间演化特征及其机制。研究发现:黄河流域绿色创新网络的规模与合作强度持续上升,但联系紧密度有所下降;黄河流域中上游地区在阶段1(2011—2013年)为西安单核心创新集群,并在阶段2(2017—2019年)分化为青海、宁—陕—豫和甘—内蒙古—晋3个创新集群;下游地区在阶段1分别形成济南、青岛单核心创新集群,并在阶段2整合为山东半岛城市群创新集群;组织与文化邻近有利于城际创新,但也强化了省域和文化的“边界效应”;城市群与流域并未形成“边界效应”,但所形成的政策和流域邻近性未能促进城际合作;地理与技术邻近、城市的经济规模、创新水平以及绿色创新水平对于城际创新合作呈正面影响。
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向博文
徐颖
徐高峰
关键词 绿色技术创新网络指数随机图模型(ERGM)边界效应邻近性黄河流域    
Abstract:To study the evolutionary mechanism of green technology innovation network in the Yellow River Basin, this study, using social network analysis and the index random graph model, analyzed the evolution characteristics and mechanisms of green technology innovation networks in the Yellow River Basin from 2011 to 2019. The findings are as follows: The scale and cooperation intensity of the innovation network continuously increased, with small-world and scale-free properties remaining significant, but connection closeness decreased. In the upstream Yellow River Basin, it transitioned from a single-core innovation cluster centered around Xi'an in Phase One (2011-2013) to three innovation clusters: Qinghai, Ning-Shaan-Yu, and Gan-Inner Mongolia-Jin in Phase Two (2017-2019). In the downstream region, single-core clusters around Jinan and Qingdao in Phase One integrated into the Shandong Peninsula Urban Agglomeration innovation cluster in Phase Two. Organizational and cultural proximity facilitate intercity innovation but also amplify provincial and cultural "boundary effects." City clusters and basin proximity did not create "boundary effects," but policy and basin proximity did not promote intercity cooperation. Geographic and technological proximity, city scale, innovation levels, and green innovation levels positively impact intercity innovation. This study's "proximity-boundary" analysis framework contributes to understanding innovation network impact mechanisms and provides theoretical and policy support for optimizing the green innovation system in the basin.
Key wordsgreen innovation network    exponential random graph model (ERGM)    boundary effects    proximity    the Yellow River Basin
收稿日期: 2024-01-17      出版日期: 2026-02-13
ZTFLH:  F124.3  
  X321  
基金资助:教育部“春晖计划”合作科研项目(HZKY20220044)
通讯作者: 徐高峰(1989-),男,山西太原人,博士,讲师,主要研究方向为创新网络演化。   
作者简介: 向博文(1993-),男,广东广州人,博士研究生,主要研究方向为创新网络演化。
引用本文:   
向博文, 徐颖, 徐高峰. 黄河流域绿色技术创新网络演化特征及其机制[J]. 复杂系统与复杂性科学, 2026, 23(1): 17-25.
XIANG Bowen, XU Ying, XU Gaofeng. Evolutionary Mechanism of Green Technology Innovation Network in the Yellow River Basin[J]. Complex Systems and Complexity Science, 2026, 23(1): 17-25.
链接本文:  
https://fzkx.qdu.edu.cn/CN/10.13306/j.1672-3813.2026.01.003      或      https://fzkx.qdu.edu.cn/CN/Y2026/V23/I1/17
[1] 王婧,杜广杰.中国城市绿色创新空间关联网络及其影响效应[J].中国人口·资源与环境,2021,31(5):21-27.
WANG J, DU G J. Spatial association network of green innovation in Chinese cities and its impact effect[J]. China Population, Resources and Environment, 2021,31(5):21-27.
[2] 杜德斌,刘承良,段德忠,等.中美科技竞争力评估报告2019[R].上海:华东师范大学出版社,2019.
DU D B, LIU C L, DUAN D Z, et al. China-U.S. science and techonology comptitiveness assessment report 2019[R]. Shanghai: East China Normal University Press, 2019.
[3] 孙艳.欧盟生态创新绩效评析[J].欧洲研究,2016,34(6): 7,95-116.
SUN Y. An analysis of the eco-innovation performance of the European Union[J]. Chinese Journal of European Studies, 2016,34(6): 7,95-116.
[4] 傅春,王宫水,李雅蓉.节能环保产业创新生态系统构建及多中心治理机制研究[J].科技管理研究,2019,39(3):129-135.
FU C, WANG G S, LI Y R. Study on construction of innovative ecosystem and multi-center governance mechanism of energy saving and environmental protection industry[J]. Science and Technology Management Research, 2019,39(3): 129-135.
[5] 许玉洁,刘曙光.黄河流域绿色创新效率空间格局演化及其影响因素[J].自然资源学报,2022,37(3):627-644.
XU Y J, LIU S G. Spatial pattern evolution and influencing factors of green innovation efficiency in the Yellow River Basin[J]. Journal of Natural Resources, 2022,37(3): 627-644.
[6] 赵林,高晓彤,吴殿廷.黄河流域绿色技术创新空间关联网络结构与影响因素[J].人文地理,2023,38(4):102-111.
ZHAO L, GAO X T, WU D T. Spatial correlation network and influencing factors of green spatial correlation network and influencing factors of green technology innovation in Yellow River Basin[J]. Human Geograhpy, 2023, 38(4): 102-111.
[7] 任建辉,赖琳琳,何则,等.基于绿色专利的黄河流域绿色创新格局的时空演进及影响因素[J].世界地理研究,2023,32(9):78-92.
REN J H, LAI L L, HE Z, et al. Spatio-temporal evolution and influencing factors of green innovation pattern in the Yellow River Basin based on green patents[J]. World Regional Studies, 2023,32(9): 78-92.
[8] 席强敏,李国平,孙瑜康,等.京津冀科技合作网络的演变特征及影响因素[J].地理学报,2022,77(6):1359-1373.
XI Q M, LI G P, SUN Y K, et al. Evolutionary characteristics of science and technology cooperation network of Beijing-Tianjin-Hebei region and its influencing factors[J]. Acta Geographica Sinica, 2022, 77(6): 1359-1373.
[9] 刘承良,闫姗姗.中国跨国城际技术通道的空.间演化及其影响因素[J].地理学报,2022,77(2):331-352.
LIU C L, YAN S S, SUN Y K, et al. Evolutionary characteristics of science and technology cooperation network of Beijing-Tianjin-Hebei region and its influencing factors[J]. Acta Geographica Sinica, 2022, 77(2): 331-352.
[10] 宓泽锋,邱志鑫,尚勇敏,等.长三角区域创新集群的技术创新联系特征及影响探究——以新材料产业为例[J].地理科学,2022,42(9):1522-1533.
MI Z F, QIU Z X, SHANG Y M, et al. Technological innovation connection characteristics and influence of regional innovation cluster in the Yangtze River Delta: a case study of new material industry[J]. Scientia Geographica Sinica, 2022,42(9):1522-1533.
[11] 段德忠,杜德斌,谌颖,等.中国城市创新网络的时空复杂性及生长机制研究[J].地理科学,2018,38(11):1759-1768.
DUAN D X, DU D B, CHEN Y, et al. Spatial-temporal complexity and growth mechanism of city innovation network in china[J]. Scientia Geographica Sinica, 2018, 38(11): 1759-1768.
[12] 周灿,曾刚,曹贤忠.中国城市创新网络结构与创新能力研究[J].地理研究,2017,36(7):1297-1308.
ZHOU C, ZENG G, CAO X Z. Chinese inter-city innovation networks structure and city innovation capability[J]. Geographical Research, 2017,36(7):1297-1308.
[13] 万媛媛,王秋玉,曾刚,等.高校与生物医药企业创新结网的影响机制——以长三角为例[J].经济地理,2022,42(7):146-158.
WAN Y Y, WANG Q Y, ZENG G, et al. Influencing mechanism of formation of innovation network between universities and biomedical firms:a case study of Yangtze River Delta[J]. Economic Geography, 2022, 42(7):146-158.
[14] 曾刚,胡森林.技术创新对黄河流域城市绿色发展的影响研究[J].地理科学,2021,41(8):1314-1323.
ZENG G, HU S L. Impact of technological innovation on urban green development in the Yellow River Basin[J]. Scientia Geographica Sinica,2021,41(8):1314-1323.
[15] 杨博旭,王玉荣,李兴光.多维邻近与合作创新[J].科学学研究,2019,37(1):154-164.
YANG B X, WANG Y R, LI X G. The impact of multidimensional proximity on cooperative innovation[J]. Studies in Science of Science, 2019, 37(1):154-164.
[16] 曹湛,戴靓,吴康,等.全球城市知识合作网络演化的结构特征与驱动因素[J].地理研究,2022,41(4):1072-1091.
CAO Z, DAI L, WU K, et al. Structural features and driving factors of the evolution of the global interurban knowledge collaboration network[J]. Geographical Research, 2022,41(4):1072-1091.
[17] 周锐波,邱奕锋,胡耀宗. 中国城市创新网络演化特征及多维邻近性机制[J]. 经济地理,2021,41(5):1-10.
ZHOU R B, QIU Y F, HU Y Z. Characteristics, evolution and mechanism of inter-city innovation network in China: from a perspective of multi-dimensional proximity[J]. Economic Geography, 2021, 41(5): 1-10.
[18] 韩明珑,何丹,高鹏.长江经济带城际生产性服务业网络联系的边界效应及多维机制[J].经济地理,2021,41(3):126-135.
HAN M L, HE D, GAO P. Boundary effect and multi-dimensional mechanism of inter-city producer services network in Yangtze River Economic Belt[J]. Economic Geography,2021,41(3):126-135.
[19] 刘潭,徐璋勇.黄河流域经济发展、绿色创新与生态环境的协同演变[J].统计与决策,2022,38(14):105-109.
LIU T, HE Z Y. The coordinated evolution of economic development, green innovation, and the ecological environment in the Yellow River Basin[J]. Statistics & Decision, 2022, 38(14):105-109.
[20] 张旭,孙传祥.基于环境污染型企业的中国城市网络空间结构研究[J].地理研究,2022,41(9):2516-2530.
ZHANG X, SUN C X. The spatial structure of the urban network of environmentally polluting enterprises in China[J]. Geographical Research, 2022, 41(9):2516-2530.
[21] 邵小彧,翁宗源,苗青松,等.区域绿色技术创新产出网络演化及要素分析——来自长江经济带城市群的证据[J].地理与地理信息科学,2022,38(4):40-49.
SHAO X Y, WENG Z Y, MIAO Q S, et al. Evolution and element analysis of regional green technology innovation output network: evidence from the urban agglomeration of the Yangtze River Economic Belt[J]. Geography and Geo-Information Science, 2022,38(4):40-49.
[22] 骆灿,陆菊春.绿色创新效率的空间网络关联特征及形成机理——以长江经济带城市为例[J].科技管理研究,2021,41(24):195-203.
LUO C, LU J C. Spatial network correlation characteristics and formation mechanism of green innovation efficiency: taking cities along the Yangtze River Economic Belt as an example[J]. Science and Technology Management Research, 2021,41(24):195-203.
[23] 王秋玉,曾刚,吕国庆.中国装备制造业产学研合作创新网络初探.地理学报,2016,71(2):251-264.
WANG Q Y, ZENG G, LYU G Q. Structural evolution of innovation networks of China’s equipment manufacturing industry[J]. Acta Geographica Sinica, 2016, 71(2): 251-264.
[24] 段德忠,夏启繁,张杨,等.长江经济带环境创新的时空特征及其影响因素[J].地理科学,2021,41(7):1158—1167.
DUAN D Z, XIA Q F, ZHANG Y, et al. Evolution pattern and impact factors of environmental innovation in the Yangtze River Economic Belt[J]. Scientia Geographica Sinica,2021,41(7):1158-1167.
[25] 李雨婷,喻忠磊,苗长虹,等.多维邻近性对流动人口回流意愿的影响——基于中国流动人口动态监测数据的实证[J].地理科学进展,2022,41(8):1403-1415.
LI Y T, YÜ Z L, MIAO C H, et al. Influence of multi-proximities on floating population's return intention: an empirical study based on the China migrant population dynamic survey[J]. Progress in Geography, 2022, 41(8):1403-1415.
[26] 卓云霞,刘涛,古维迎.多维邻近性与城—城流动人口的流入地选择——基于嵌套Logit模型的实证分析[J].地理科学,2021,41(7):1210-1218.
ZHUO Y X, LIU T, GU W Y. How multi-proximity affects destination choice in urban-urban migration: an analysis based on nested logit model[J]. Scientia Geographica Sinica, 2021, 41(7): 1210-1218.
[27] 佟金萍,马剑锋,秦腾,等.漳河流域跨界水资源冲突的边界效应研究[J].生态经济,2015,31(12):136-141.
TONG J P, MA J F, QIN T, et al. Research on the border effect of transboundary water conflict in Zhanghe Basin[J]. Ecological Economy, 2015,31(12):136-141.
[28] 周晓艳,郝慧迪,叶信岳,等.黄河流域区域经济差异的时空动态分析[J].人文地理,2016,31(5):119-125.
ZHOU X Y, HAO H D, YE X Y, et al. A spatial-temporal analysis of regional economic inequality in the Yellow River Valley[J]. Human Geography, 2016,31(5):119-125.
[29] BJORKLUND P , DALY A J. The ties that belong: tie formation in preservice teacher identification networks[J]. Teaching and Teacher Education, 2021, 97(2): 103223.
[30] 黄晓东,马海涛,苗长虹.基于创新企业的中国城市网络联系特征[J].地理学报,2021,76(4):835-852.
HUANG X D, MA H T, MIAO C H. Connectivity characteristics for city networks in China based on innovative enterprises[J]. Acta Geographica Sunica, 2021, 76(4): 835-852.
[31] JAFFE A B. Technological opportunity and spillovers of R&D: evidence from firms’ patents, profits, and market value[J]. American Economic Review, 1986, 76(5): 984-1001.
[32] 陆大道,孙东琪.黄河流域的综合治理与可持续发展[J].地理学报,2019,74(12):2431-2436.
LU D D, SUN D Q. Development and management tasks of the Yellow River Basin: a preliminary understanding and suggestion[J]. Acta Geographica Sinica, 2019, 74(12): 2431-2436.
[33] 张筱娟,陈雯,段诚,等.不同尺度下黄河流域城际创新网络演化及其影响因素分析[J].地理与地理信息科学,2023,39(6):55-64.
ZHANG X, CHEN W, DUAN C, et al. Evolution characteristics and influencing factors of intercity innovation network in the Yellow River Basin at different scales[J]. Geography and Geo-Information Science,2023,39(6): 55-64.
[34] 李丹丹,马海涛,苗长虹.黄河流域创新网络演化与郑洛西创新走廊培育研究[J].中国科学院院刊,2022,37(12):1807-1818.
LI D D, MA H T, MIAO C H. Research on evolution of Yellow River Basin innovation network and cultivation of Zhengzhou-Luoyang-Xi’an innovation corridor[J]. Bulletin of Chinese Academy of Sciences, 2022, 7(12):1807-1818.
[35] 张建伟,梁常安,胡正玉,等.黄河流域市际技术转移网络的时空特征[J].经济地理,2020,40(5):58-69.
ZHANG J W, LIANG C G, HU Z Y, et al. Spatiotemporal characteristics of intercity technology transfer network in the Yellow River Basin[J]. Economic Geography, 2020, 40(5): 58-69.
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