IDEAS home Printed from https://ideas.repec.org/a/spr/jqecon/v4y2006i2d10.1007_bf03546450.html
   My bibliography  Save this article

Statistical Analysis of Complexity in Productive Structure of Indian Economy: 1984–1996

Author

Listed:
  • Debdas Bandyopadhyay

    (University of Kalyani)

  • Prasanta Mandal

Abstract

The complexity in the productive structure of an economy may be measured by the nature and extent of association between the sales and the purchase profiles captured by its input-output table. In this paper we estimate the change in complexity in productive structure of the Indian economy during the period 1984–96, and identify its major sources, using two multivariate techniques viz. dummy variable regression technique and dual scaling technique. The analysis is carried out in two stages. In the first stage we use dummy variable regression technique with row and column dummies to identify input-output cells with high row-column dependence. Next we use dual scaling technique to decompose the row-column association into hierarchical loops. Our analysis reveals that (i) there has been significant increase in the level of complexity and degree of integration in the productive structure of Indian economy during the period 1984 to1996. This increase is most pronounced during the nineties when the economic reforms, in consonance with globalisation, were initiated for the Indian economy, (ii) the increase in the level of complexity and degree of integration in productive structure of Indian economy has not been gradual as there seems to have occurred a structural break in the productive structure of the Indian economy during the nineties (iii) the changes in economic complexity of Indian economy have been accompanied with significant changes in technological and /or market conditions faced by different sectors of the Indian economy; Manufacturing, Allied Agriculture and Services being the sectors having undergone tremendous change in both the aspects and (iv) in terms of maturity, as measured by the level of complexity and degree of integration, the Indian economy has started resembling the developed countries like USA and Canada.

Suggested Citation

  • Debdas Bandyopadhyay & Prasanta Mandal, 2006. "Statistical Analysis of Complexity in Productive Structure of Indian Economy: 1984–1996," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 4(2), pages 84-102, July.
  • Handle: RePEc:spr:jqecon:v:4:y:2006:i:2:d:10.1007_bf03546450
    DOI: 10.1007/BF03546450
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/BF03546450
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/BF03546450?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. Chokri Dridi & Geoffrey Hewings, 2002. "An Investigation of Industry Associations, Association Loops and Economic Complexity: Application to Canada and the United States," Economic Systems Research, Taylor & Francis Journals, vol. 14(3), pages 275-296.
    2. Clements, Benedict J., 1990. "On the decomposition and normalization of interindustry linkages," Economics Letters, Elsevier, vol. 33(4), pages 337-340, August.
    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. Guilhoto, J. J. M. & Sesso Filho, U. A., 2005. "Estimação da Matriz Insumo-Produto a Partir De Dados Preliminares das Contas Nacionais [Estimation of input-output matrix using preliminary data from national accounts]," MPRA Paper 38212, University Library of Munich, Germany.
    2. Liis LILL, 2008. "Assessing Economic Complexity in some OECD countries with Input-Output Based Measures," EcoMod2008 23800082, EcoMod.
    3. Moretto, Antonio Carlos & Rodrigues, Rossana Lott & Sesso Filho, Umberto Antonio & Guilhoto, Joaquim José Martins & Maia, Katy, 2012. "Regiões polarizadas no Paraná: relações inter setoriais e inter regionais em 2006," MPRA Paper 46996, University Library of Munich, Germany.
    4. Fernando Salgueiro Perobelli & Eduardo Amaral Haddad & Edson Paulo Domingues, 2009. "Interdependence among the Brazilian States: An Input-Output Approach," Chapters, in: Mahtab A. Farschi & Odile E.M. Janne & Philip McCann (ed.), Technological Change and Mature Industrial Regions, chapter 4, pages 44-63, Edward Elgar Publishing.
    5. Chokri Dridi & Geoffrey Hewings, 2002. "An Investigation of Industry Associations, Association Loops and Economic Complexity: Application to Canada and the United States," Economic Systems Research, Taylor & Francis Journals, vol. 14(3), pages 275-296.
    6. Cardenete, Manuel Alejandro, 2011. "Análisis comparativo de sectores clave desde una perspectiva regional a través de matrices de contabilidad social: enfoques alternativos || Comparative Keysector Analysis from Regional Perspective Usi," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 12(1), pages 39-64, December.
    7. Alp, Esra & Kök, Recep & Başkol, Murat Ozan, 2017. "Türkiye Ekonomisinde Sürükleyici Endüstri Analizi:2002-2012 Karşılaştırması [Key Sector Analysis in Turkish Economy: A Compare Between 2002-2012]," MPRA Paper 89952, University Library of Munich, Germany.
    8. Joaquim J. M. Guilhoto & Silvio Massaru Ichihara & Márcio Guerra Amorim, 2010. "Structural Analysis of Employment in the Brazilian Economy: 1996 and 2002 Compared," Palgrave Macmillan Books, in: Hadi Salehi Esfahani & Giovanni Facchini & Geoffrey J. D. Hewings (ed.), Economic Development in Latin America, chapter 12, pages 179-200, Palgrave Macmillan.
    9. Wang, Yuan & Wang, Wenqin & Mao, Guozhu & Cai, Hua & Zuo, Jian & Wang, Lili & Zhao, Peng, 2013. "Industrial CO2 emissions in China based on the hypothetical extraction method: Linkage analysis," Energy Policy, Elsevier, vol. 62(C), pages 1238-1244.
    10. Guilhoto, Joaquim J.M., 1995. "Um modelo computável de equilíbrio geral para planejamento e análise de políticas agrícolas (PAPA) na economia brasileira [A computable general equilibrium model for planning and analysis of agricu," MPRA Paper 42349, University Library of Munich, Germany.
    11. Guilhoto, J. J. M. & Sonis, M. & Hewings, G. J. D., 2005. "Linkages and Multipliers in a Multiregional Framework: Integration of Alternative Approaches," MPRA Paper 38213, University Library of Munich, Germany.
    12. García Muñiz, Ana Salomé, 2013. "Input–output research in structural equivalence: Extracting paths and similarities," Economic Modelling, Elsevier, vol. 31(C), pages 796-803.
    13. Guilhoto, Joaquim José Martins, 2011. "Análise de Insumo-Produto: Teoria e Fundamentos [Input-Output Analysis: Theory and Foundations]," MPRA Paper 32566, University Library of Munich, Germany.
    14. Yu Song & Chunlu Liu & Craig Langston, 2006. "Linkage measures of the construction sector using the hypothetical extraction method," Construction Management and Economics, Taylor & Francis Journals, vol. 24(6), pages 579-589.
    15. Guilhoto, Joaquim José Martins & Sonis, Michael & Hewings, Geoffrey J.D. & Martins, Eduardo B., 1994. "Índices de ligações e setores chave na economia brasileira: 1959-1980 [Linkages and key-sectors in the Brazilian economy: 1959-180]," MPRA Paper 54759, University Library of Munich, Germany.
    16. Rodrigues, Rossana Lott & Moretto, Antonio Carlos & Crocomo, Francisco C. & Guilhoto, Joaquim José Martins, 2005. "Transações inter-regionais e intersetoriais entre as macro-regiões brasileiras [Inter-regional and inter-sectoral transactions between Brazilian macro regions]," MPRA Paper 54559, University Library of Munich, Germany.
    17. Shinichiro Kimura, 2022. "Secular change of interdependencies in the clusters of the Japanese motor vehicle industry: a case study in the Tokai region," SN Business & Economics, Springer, vol. 2(11), pages 1-12, November.
    18. João C. Lopes & João Dias & João F. Amaral, 2012. "Assessing economic complexity as interindustry connectedness in nine OECD countries," International Review of Applied Economics, Taylor & Francis Journals, vol. 26(6), pages 811-827, January.
    19. Nelson Marconi & Igor L. Rocha & Guilherme R. Magacho, 2016. "Sectoral capabilities and productive structure: An input-output analysis of the key sectors of the Brazilian economy," Brazilian Journal of Political Economy, Center of Political Economy, vol. 36(3), pages 470-492.
    20. Manfred Lenzen & Roberto Schaeffer, 2004. "Environmental and Social Accounting for Brazil," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 27(2), pages 201-226, February.

    More about this item

    Keywords

    Input-Output Linkage; Multivariate Scaling; Association Loop; Field of Influence Approach;
    All these keywords.

    JEL classification:

    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • D57 - Microeconomics - - General Equilibrium and Disequilibrium - - - Input-Output Tables and Analysis

    Statistics

    Access and download statistics

    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:spr:jqecon:v:4:y:2006:i:2:d:10.1007_bf03546450. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.