IDEAS home Printed from https://ideas.repec.org/p/wiw/wiwrsa/ersa15p523.html
   My bibliography  Save this paper

Andalusian Economic Structure over Social Accounting Matrices from FES analysis perspective

Author

Listed:
  • Jorge Manuel Lopez

  • Manuel Alejandro Cardenete

Abstract

Over the last 60 years, regional economic analysis has been interested in identifying common patterns and regularities of regional economic structure. The identification of such patterns suggests that there predictable relationships between different levels of structural regional development. Since Social Accounting Matrices (SAM) are database containing the total transactions in an economy, it is possible to use them to comparise the economic structure embedded in them. As regional SAM provide a detailed description of the economic structure, they provide a valid basis for this category of analysis. The aim of this paper is to determine those structural components and similarities in economic relationships within the regional economy (Andalusia) over a determined period of time (1990-2010), specifying the Fundamental Economic Structure (FES), quantifying and classifying their components both individual and holistic sense. The FES methodology applied in this paper is a set of complementary techniques, focused on revealing key components in the overall economy. Quantifying the features of each component will allow us ranking the core and the periphery ot the economic structure. The FES approach provide us those elements of the economy categorized like predictable, stable and important. And the features combination let us to classify the core components of the economy. The results show us the relevance of partitions related to tertiary activities. They have more probabilities to be predicted using a proxy of the size of the economy, specially in Commercial Services, Retail sales and Transport and Communications. Besides, the structure of Andalusian economy is quite stable in comparison with other regional analysis and the stability is focused in tertiary sector and some industrial activities like Electric energy, Chemical and Machinery, Refining or Mining and Steel. In terms of importance, the connectivity analysis provide that the principal interactions are brought about Retail sales, Transport and Comunications and Other Services located in tertiary-tertiary, secondary-tertiary and primary-tertiary partitions of the economy. There are also important cells in the secondary sector in this sense like Construction, Vehicles or Refining. This type of interactions between secondary and tertiary sectors, and absence of primary activities are the main characteristics of the andalusian economy structure, with no apreciable change over period of analysis. It can be concluded that there is a temporal FES for the regional economy in Andalusia in the period of analysis and under this methodology it is possible to identify not just relevant activities but key flows of interactions in the economy and let to estimate and forecast the cell values of the core of the economy determining the degree of development of the economy.

Suggested Citation

  • Jorge Manuel Lopez & Manuel Alejandro Cardenete, 2015. "Andalusian Economic Structure over Social Accounting Matrices from FES analysis perspective," ERSA conference papers ersa15p523, European Regional Science Association.
  • Handle: RePEc:wiw:wiwrsa:ersa15p523
    as

    Download full text from publisher

    File URL: https://www-sre.wu.ac.at/ersa/ersaconfs/ersa15/e150825aFinal00523.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. R C Jensen & G R West, 1980. "The Effect of Relative Coefficient Size on Input—Output Multipliers," Environment and Planning A, , vol. 12(6), pages 659-670, June.
    2. Rietveld, Piet, 1989. "Infrastructure and Regional Development: A Survey of Multiregional Economic Models," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 23(4), pages 255-274.
    3. Syrquin, M. & Chenery, H.B., 1989. "Patterns Of Development, 1950 To 1983," World Bank - Discussion Papers 41, World Bank.
    4. Thakur, Sudhir K. & Alvayay, Jaime R., 2012. "Identification of regional fundamental economic structure (FES) of Chilean economy: A field of influence approach," Structural Change and Economic Dynamics, Elsevier, vol. 23(1), pages 92-107.
    5. Louis de Mesnard, 1990. "Biproportional Method for Analysing Interindustry Dynamics: the case of France," Post-Print hal-00383965, HAL.
    6. Anon, 2002. "The Economy of Influence," Environment and Planning A, , vol. 34(8), pages 1331-1332, August.
    7. Geoffrey J. D. Hewings & Michael Sonis & David Boyce (ed.), 2002. "Trade, Networks and Hierarchies," Advances in Spatial Science, Springer, number 978-3-662-04786-6, February.
    8. Thakur, Sudhir K., 2008. "Identification of temporal fundamental economic structure (FES) of India: An input-output and cross-entropy analysis," Structural Change and Economic Dynamics, Elsevier, vol. 19(2), pages 132-151, June.
    9. Rodney C. Jensen, 1990. "Construction and Use of Regional Input-Output Models: Progress and Prospects," International Regional Science Review, , vol. 13(1-2), pages 9-25, April.
    10. Manuel Alejandro Cardenete Flores & Patricia D. Fuentes Saguar & Clemente Polo, 2010. "Sectores clave de la economía andaluza a partir de la matriz de contabilidad social regional para el año 2000," Revista de Estudios Regionales, Universidades Públicas de Andalucía, vol. 2, pages 15-44.
    11. Edward L. Ullman & Michael F. Dacey, 1960. "The Minimum Requirements Approach To The Urban Economic Base," Papers in Regional Science, Wiley Blackwell, vol. 6(1), pages 175-194, January.
    12. Yasuhide Okuyama & Geoffrey J. D. Hewings & Michael Sonis & Philip Israilevich, 2002. "Structural Changes in the Chicago Economy: A Field of Influence Analysis," Advances in Spatial Science, in: Geoffrey J. D. Hewings & Michael Sonis & David Boyce (ed.), Trade, Networks and Hierarchies, chapter 11, pages 201-224, Springer.
    13. J M Szyrmer, 1986. "Measuring Connectedness of Input — Output Models: 2. Total Flow Concept," Environment and Planning A, , vol. 18(1), pages 107-121, January.
    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. Sudhir K. Thakur, 2008. "Identification of Regional Fundamental Economic Structure (FES) of India: An Input-Output and Field of Influence Approach," WIDER Working Paper Series RP2008-59, World Institute for Development Economic Research (UNU-WIDER).
    2. Thakur, Sudhir K. & Alvayay, Jaime R., 2012. "Identification of regional fundamental economic structure (FES) of Chilean economy: A field of influence approach," Structural Change and Economic Dynamics, Elsevier, vol. 23(1), pages 92-107.
    3. Thakur, Sudhir K., 2008. "Identification of temporal fundamental economic structure (FES) of India: An input-output and cross-entropy analysis," Structural Change and Economic Dynamics, Elsevier, vol. 19(2), pages 132-151, June.
    4. García Muñiz, Ana Salomé, 2013. "Input–output research in structural equivalence: Extracting paths and similarities," Economic Modelling, Elsevier, vol. 31(C), pages 796-803.
    5. 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.
    6. Fengyun Liu & Deqiang Liu & Reza Malekian & Zhixiong Li & Deqing Wang, 2017. "A measurement model for real estate bubble size based on the panel data analysis: An empirical case study," PLOS ONE, Public Library of Science, vol. 12(3), pages 1-26, March.
    7. Mercy W. Mwangi & Amos G. Njuguna & George O. Achoki, 2019. "Relationship between corruption and capital flight in Kenya: 1998-2018," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 8(5), pages 237-250, September.
    8. Zhou, H. & Uhlaner, L.M., 2009. "Knowledge Management in the SME and its Relationship to Strategy, Family Orientation and Organization Learning," ERIM Report Series Research in Management ERS-2009-026-ORG, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    9. Sebastian Galiani & Daniel Heymann & Carlos Dabus & Fernando Tohme, 2005. "Land-Rich Economies, Education and Economic Development," Working Papers 85, Universidad de San Andres, Departamento de Economia, revised Dec 2005.
    10. Frederick Ploeg, 2011. "Fiscal policy and Dutch disease," International Economics and Economic Policy, Springer, vol. 8(2), pages 121-138, June.
    11. Donald H. Farness, 1989. "Detecting the Economic Base: New Challenges," International Regional Science Review, , vol. 12(3), pages 319-328, December.
    12. Liis LILL, 2008. "Assessing Economic Complexity in some OECD countries with Input-Output Based Measures," EcoMod2008 23800082, EcoMod.
    13. Maurer, Rainer, 1995. "Is economic growth a random walk?," Kiel Working Papers 677, Kiel Institute for the World Economy (IfW Kiel).
    14. Qu, Xiuli & Williams, Julie Ann Stuart, 2008. "An analytical model for reverse automotive production planning and pricing," European Journal of Operational Research, Elsevier, vol. 190(3), pages 756-767, November.
    15. Geoffrey J.D. Hewings & Suahasil Nazara & Chokri Dridi, 2004. "Channels of synthesis forty years on: integrated analysis of spatial economic systems," Journal of Geographical Systems, Springer, vol. 6(1), pages 7-25, April.
    16. Euijune Kim & Geoffrey J.D. Hewings & Hidayat Amir, 2015. "Project Evaluation of Transportation Projects: an Application of Financial Computable General Equilibrium Model," ERSA conference papers ersa15p453, European Regional Science Association.
    17. Panagiotis Artelaris & Yannis Tsirbas, 2018. "Anti-austerity voting in an era of economic crisis: Regional evidence from the 2015 referendum in Greece," Environment and Planning C, , vol. 36(4), pages 589-608, June.
    18. Edsel L. Beja Jr, 2011. "Do international remittances cause Dutch disease?," Migration Letters, Migration Letters, vol. 8(2), pages 132-140, October.
    19. Bitar, Nicholas & Chakrabarti, Avik & Zeaiter, Hussein, 2018. "Were Reinhart and Rogoff right?," International Review of Economics & Finance, Elsevier, vol. 58(C), pages 614-620.
    20. Christian Salas, 2019. "Persuading policy-makers," Journal of Theoretical Politics, , vol. 31(4), pages 507-542, October.

    More about this item

    Keywords

    ;
    ;
    ;

    JEL classification:

    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • E16 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Social Accounting Matrix
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:wiw:wiwrsa:ersa15p523. 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: Gunther Maier (email available below). General contact details of provider: http://www.ersa.org .

    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.