IDEAS home Printed from https://ideas.repec.org/a/eee/apmaco/v455y2023ics0096300323002722.html
   My bibliography  Save this article

Complex network analysis on provincial innovation development in China

Author

Listed:
  • Yu, Guihai
  • Wan, Yibo
  • Jiang, Caoqing

Abstract

From the perspective of innovation output, the innovation output networks of 30 provinces (excluding Tibert, Hong Kong, Macao and Taiwan) are constructed based on the modified gravity model in the past 20 years (2001–2020). Combined with the method of principal component analysis and TOPSIS, the innovation development level of each province and seven regions is evaluated by integrating some node statistical indicators. Finally, we employ the temporal exponential random graph model to study the main characteristics that affect the evolution of China’s innovation capability in the past 20 years. The conclusions are as follows: (1) There are reciprocity effect, hierarchy effect and time dependence effect in China’s innovation linkages. There is a positive correlation between innovation output and innovation absorption. (2) In the past 20 years China’s innovation output has shown a pattern of strong in the south and weak in the north, strong in the east and weak in the west. The innovation development of each province and region has changed greatly, and the gap is obvious. At present, the national innovation pattern has formed a big cycle in the eastern, central and western regions. East China and south central regions are the regional centers of innovation output in China; Southwest China is a region with rapid innovation and development; Northwest China has been isolated. (3) Provinces in the same region are likely to have innovation linkages with provinces with coexisting economic output effects. (4) The introduction of foreign capital technology promotes China’s independent innovation capability. (5) The intensity of government investment in scientific and technological research and development has ensured the orderly progress of innovation and stabilized innovation capacity. (6) Talents and education level determine the upper limit of China’s innovation ability. (7) Economic level and innovation ability complement each other.

Suggested Citation

  • Yu, Guihai & Wan, Yibo & Jiang, Caoqing, 2023. "Complex network analysis on provincial innovation development in China," Applied Mathematics and Computation, Elsevier, vol. 455(C).
    • Handle: RePEc:eee:apmaco:v:455:y:2023:i:c:s0096300323002722
    DOI: 10.1016/j.amc.2023.128103
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0096300323002722
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.amc.2023.128103?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Muhammed Dalgin & Vitor Trindade & Devashish Mitra, 2008. "Inequality, Nonhomothetic Preferences, and Trade: A Gravity Approach," Southern Economic Journal, John Wiley & Sons, vol. 74(3), pages 747-774, January.
    2. Muhammed Dalgin & Vitor Trindade & Devashish Mitra, 2008. "Inequality, Nonhomothetic Preferences, and Trade: A Gravity Approach," Southern Economic Journal, John Wiley & Sons, vol. 74(3), pages 747-774, January.
    3. Mario A. Maggioni & T. Erika Uberti, 2007. "Inter-regional Knowledge Flows in Europe: An Econometric Analysis," Chapters, in: Koen Frenken (ed.), Applied Evolutionary Economics and Economic Geography, chapter 11, Edward Elgar Publishing.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Minghua Chen & Qian Li & Bianxiu Zhang & Linxiao Xie & Jianxu Liu & You Geng & Zhirui Liu, 2023. "The Spatial Correlation Network of China’s High-Quality Development and Its Driving Factors," Sustainability, MDPI, vol. 15(22), pages 1-22, November.
    2. Li, Xianghua & Zhen, Xiyuan & Qi, Xin & Han, Huichun & Zhang, Long & Han, Zhen, 2023. "Dynamic community detection based on graph convolutional networks and contrastive learning," Chaos, Solitons & Fractals, Elsevier, vol. 176(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bensassi, Sami & Márquez-Ramos, Laura & Martínez-Zarzoso, Inmaculada, 2010. "Economic Integration and the two margins of trade: An application to the Euro-Mediterranean agreements," Conference papers 331930, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    2. Das, Satya P. & Sant’Anna, Vinicios P., 2023. "Determinants of bilateral trade in manufacturing and services: A unified approach," Economic Modelling, Elsevier, vol. 123(C).
    3. Juan Carlos Hallak, 2004. "Product Quality, Linder, and the Direction of Trade," NBER Working Papers 10877, National Bureau of Economic Research, Inc.
    4. Liudan Wu & Lili Hao & Lingzhi Wu & Ruize Gao & Ji Chen, 2023. "Assessing the Inbound Tourism Efficiency of European Countries in China: 2006-2019," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 25(63), pages 625-625, April.
    5. Cícero, Vinicius Curti & Lima, Gilberto Tadeu, 2023. "Functional distribution of income as a determinant of importing behavior: An empirical analysis," Structural Change and Economic Dynamics, Elsevier, vol. 65(C), pages 393-405.
    6. Kichko, Sergei & Picard, Pierre M., 2023. "On the effects of income heterogeneity in monopolistically competitive markets," Journal of International Economics, Elsevier, vol. 143(C).
    7. Hallak, Juan Carlos, 2006. "Product quality and the direction of trade," Journal of International Economics, Elsevier, vol. 68(1), pages 238-265, January.
    8. Jaimovich, Esteban & Merella, Vincenzo, 2015. "Love for quality, comparative advantage, and trade," Journal of International Economics, Elsevier, vol. 97(2), pages 376-391.
    9. Xuepeng Liu, 2009. "GATT/WTO Promotes Trade Strongly: Sample Selection and Model Specification," Review of International Economics, Wiley Blackwell, vol. 17(3), pages 428-446, August.
    10. Yo Chul Choi & David Hummels & Chong Xiang, 2006. "Explaining Import Variety and Quality: The Role of the Income Distribution," NBER Working Papers 12531, National Bureau of Economic Research, Inc.
    11. Reto Foellmi & Christian Hepenstrick & Josef Zweim ller, 2010. "Non-homothetic preferences, parallel imports and the extensive margin of international trade," Diskussionsschriften dp1009, Universitaet Bern, Departement Volkswirtschaft.
    12. Desdoigts, Alain & Jaramillo, Fernando, 2009. "Trade, demand spillovers, and industrialization: The emerging global middle class in perspective," Journal of International Economics, Elsevier, vol. 79(2), pages 248-258, November.
    13. Haq, Zahoor Ul & Meilke, Karl D. & Cranfield, John A.L., 2011. "The Gravity Model and the Problem of Zero's in Agrifood Trade," Working Papers 116851, Canadian Agricultural Trade Policy Research Network.
    14. Pascal L. Ghazalian & Bruno Larue & Jean‐Philippe Gervais, 2009. "Exporting to new destinations and the effects of tariffs: the case of meat commodities," Agricultural Economics, International Association of Agricultural Economists, vol. 40(6), pages 701-714, November.
    15. Hartmut Egger & Simone Habermeyer, 2019. "Nonhomothetic preferences and rent sharing in an open economy," CESifo Working Paper Series 7522, CESifo.
    16. Bekkers, Eddy & Francois, Joseph & Manchin, Miriam, 2012. "Import prices, income, and inequality," European Economic Review, Elsevier, vol. 56(4), pages 848-869.
    17. Campanale Claudio, 2018. "Luxury consumption, precautionary savings and wealth inequality," The B.E. Journal of Macroeconomics, De Gruyter, vol. 18(1), pages 1-15, January.
    18. Matthias Firgo & Peter Mayerhofer, 2015. "Wissensintensive Unternehmensdienste, Wissens-Spillovers und regionales Wachstum. Teilprojekt 1: Wissens-Spillovers und regionale Entwicklung – Welche strukturpolitische Ausrichtung optimiert das Wach," WIFO Studies, WIFO, number 58342.
    19. Mario A. Maggioni & T. Erika Uberti, 2006. "International networks of knowledge flows: an econometric analysis," Papers on Economics and Evolution 2005-19, Philipps University Marburg, Department of Geography.
    20. Adina Ardelean & Volodymyr Lugovskyy, 2015. "Technology, Trade, and Quality Slopes," CAEPR Working Papers 2015-004, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:apmaco:v:455:y:2023:i:c:s0096300323002722. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/applied-mathematics-and-computation .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.