IDEAS home Printed from https://ideas.repec.org/a/eaa/aeinde/v16y2016i1_15.html
   My bibliography  Save this article

The Inter-Industrial Linkage Indicators (Iili): A Contribution For The Measurement Of The Industrial Structure Evolution In China (2002, 2007)

Author

Listed:
  • Chong YIN
  • Zhi Yuan YANG

Abstract

The period from 2002 to 2007 was an important growth stage in China’s economic cycle before the financial crisis in 2008. When the developing countries come into the acceleration cycle of economic growth, there is usually an inevitable change in their industrial structures. This article aims to contribute to this discussion by presenting an inter-industrial linkage indicators system on Industrial Complex Network (ICN) and input-output technology. This multi-level and multi-dimensional Inter-industrial Linkage Indicators (IILI) could describe the overall technical structure, the extension of industrial chains and the industrial influence in a region or a country, which are the important aspects of industrial structure evolution. On the base of IILI, the industrial structure evolution in China from 2002 to 2007 was measured and analyzed. The results show that China’ industrial structure upgrading is closely related to the inter-industrial linkage and the heavy-industrialization of industrial structure is obvious. We can further use the IILI as a wide tool to reveal the correlation between economic growth and industrial structure evolution and to support economic policies effectively.

Suggested Citation

  • Chong YIN & Zhi Yuan YANG, 2016. "The Inter-Industrial Linkage Indicators (Iili): A Contribution For The Measurement Of The Industrial Structure Evolution In China (2002, 2007)," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 16(1).
  • Handle: RePEc:eaa:aeinde:v:16:y:2016:i:1_15
    as

    Download full text from publisher

    File URL: http://www.usc.es/~economet/reviews/aeid16115.pdf
    Download Restriction: No.
    ---><---

    References listed on IDEAS

    as
    1. Schultz, Siegfried & Schumacher, Dieter, 1976. "Key Sectors in Some Underdeveloped Countries: A Comment," Kyklos, Wiley Blackwell, vol. 29(4), pages 765-766.
    2. Michael Lahr & Louis de Mesnard, 2004. "Biproportional Techniques in Input-Output Analysis: Table Updating and Structural Analysis," Economic Systems Research, Taylor & Francis Journals, vol. 16(2), pages 115-134.
    3. Ana Salome Garcia Muniz & Antonio Morillas Raya & Carmen Ramos Carvajal, 2008. "Key Sectors: A New Proposal from Network Theory," Regional Studies, Taylor & Francis Journals, vol. 42(7), pages 1013-1030.
    4. Hermann Schnabl, 2003. "The ECA-method for Identifying Sensitive Reactions within an IO Context," Economic Systems Research, Taylor & Francis Journals, vol. 15(4), pages 495-504.
    5. McNerney, James & Fath, Brian D. & Silverberg, Gerald, 2013. "Network structure of inter-industry flows," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(24), pages 6427-6441.
    Full references (including those not matched with items on IDEAS)

    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. Katya Pérez-Guzmán & Isela-Elizabeth Téllez-León & Ali Kharrazi & Brian Fath & Francisco Venegas-Martínez, 2018. "What makes Input-Output Tables of Trade of Raw Material Goods Peculiar Networks? The World and Mexican Cases," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 13(4), pages 483-505, Octubre-D.
    2. Martha Alatriste-Contreras, 2015. "The relationship between the key sectors in the european union economy and the intra-European Union trade," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 4(1), pages 1-24, December.
    3. Theodore Tsekeris, 2017. "Network analysis of inter-sectoral relationships and key sectors in the Greek economy," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(2), pages 413-435, July.
    4. George E. Halkos & Kyriaki D. Tsilika, 2018. "A New Vision of Classical Multi-regional Input–Output Models," Computational Economics, Springer;Society for Computational Economics, vol. 51(3), pages 571-594, March.
    5. Xing, Lizhi & Dong, Xianlei & Guan, Jun, 2017. "Global industrial impact coefficient based on random walk process and inter-country input–output table," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 576-591.
    6. Barbara Hutniczak, 2022. "Efficient updating of regional supply and use tables with the national-level statistics," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 11(1), pages 1-11, December.
    7. Ryoji Hasegawa & Shigemi Kagawa & Makiko Tsukui, 2015. "Carbon footprint analysis through constructing a multi-region input–output table: a case study of Japan," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 4(1), pages 1-20, December.
    8. Carey W. King, 2016. "Information Theory to Assess Relations Between Energy and Structure of the U.S. Economy Over Time," Biophysical Economics and Resource Quality, Springer, vol. 1(2), pages 1-33, December.
    9. Liis LILL, 2008. "Assessing Economic Complexity in some OECD countries with Input-Output Based Measures," EcoMod2008 23800082, EcoMod.
    10. Stephen Pratt, 2012. "Tourism Yield of Different Market Segments: A Case Study of Hawaii," Tourism Economics, , vol. 18(2), pages 373-391, April.
    11. Wang, Chengwei & Miao, Wang & Lu, Miaomiao, 2022. "Evolution of the Chinese industrial structure: A social network perspective," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    12. Elvio Mattioli & Giuseppe Ricciardo Lamonica, 2016. "The world’s economic geography: evidence from the world input–output table," Empirical Economics, Springer, vol. 50(3), pages 697-728, May.
    13. Zhang, Lixiao & Yang, Min & Zhang, Pengpeng & Hao, Yan & Lu, Zhongming & Shi, Zhimin, 2021. "De-coal process in urban China: What can we learn from Beijing's experience?," Energy, Elsevier, vol. 230(C).
    14. Martha G. Alatriste-Contreras & Martín Puchet Anyul, 2021. "The Spreading of Shocks in the North America Production Network and Its Relation to the Properties of the Network," Mathematics, MDPI, vol. 9(21), pages 1-19, November.
    15. Nakano, Satoshi & Nishimura, Kazuhiko, 2018. "Structural propagation in a production network with restoring substitution elasticities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 986-999.
    16. Satoshi Nakano & Kazuhiko Nishimura, 2013. "A nonsurvey multiregional input–output estimation allowing cross-hauling: partitioning two regions into three or more parts," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 50(3), pages 935-951, June.
    17. Josef Taalbi, 2017. "Development blocks in innovation networks," Journal of Evolutionary Economics, Springer, vol. 27(3), pages 461-501, July.
    18. Oppon, Eunice & Richter, Justin S. & Koh, S.C. Lenny & Nabayiga, Hellen, 2023. "Macro-level economic and environmental sustainability of negative emission technologies; Case study of crushed silicate production for enhanced weathering," Ecological Economics, Elsevier, vol. 204(PA).
    19. Aroche-Reyes, Fidel & García Muñiz, Ana Salomé, 2012. "Modelling economic structures from a Qualitative Input-Output Perspective: Greece in 2005 and 2010," MPRA Paper 44415, University Library of Munich, Germany.
    20. Choi, Jun-Ki & Bakshi, Bhavik R. & Haab, Timothy, 2010. "Effects of a carbon price in the U.S. on economic sectors, resource use, and emissions: An input-output approach," Energy Policy, Elsevier, vol. 38(7), pages 3527-3536, July.

    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:eaa:aeinde:v:16:y:2016:i:1_15. 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: M. Carmen Guisan (email available below). General contact details of provider: http://www.usc.es/economet/eaa.htm .

    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.