Estimating regional social accounting matrices to analyse rural development

  1. Alfredo Mainar-Causapé 1
  2. José Manuel Rueda-Cantuche 2
  3. M. Alejandro Cardenete 3
  4. Patricia Fuentes-Saguar 2
  5. M. Carmen Delgado 3
  6. Fabien Santini 4
  7. Sergio Gómez y Paloma 4
  1. 1 Department of Applied Economy III, University of Seville
  2. 2 Department of Economics, Quantitative Methods and Economic History, University Pablo de Olavide
  3. 3 Department of Economics, Universidad Loyola Andalucía
  4. 4 Universidad Autónoma de Chile
    info

    Universidad Autónoma de Chile

    Temuco, Chile

    ROR https://ror.org/010r9dy59

Revista:
Sort: Statistics and Operations Research Transactions

ISSN: 1696-2281

Año de publicación: 2017

Volumen: 41

Número: 2

Páginas: 319-346

Tipo: Artículo

Otras publicaciones en: Sort: Statistics and Operations Research Transactions

Resumen

This paper has two complementary objectives: on the one hand, it introduces the EURO method for the estimation of (regional) Social Accounting Matrices. This method is widely used by Eurostat for the estimation of missing national Supply, Use and Input-output tables but it has not been used before within the context of social accounting matrices or of regional statistics and/or regional impact analyses. On the other hand, this work discusses the possibility of producing non-survey based regional Social Accounting Matrices that may eventually allow the user to carry out impact analyses such as those of rural development policies, among others. The analysis is carried out for 12 selected European regions based on clusters.

Referencias bibliográficas

  • Beutel, J. (2002). The Economic Impact of Objective 1 Interventions for the Period 2000–2006. Report to the Directorate-General for Regional Policies.
  • Beutel, J. (2008). An Input-Output System of Economic Accounts for the EU Member States. Report to the European Commission, Directorate-General Joint Research Centre, Institute for Prospective Technological Studies.
  • Beutel, J. and Rueda-Cantuche, J.M. (2012). The Euro method revisited for updating supply and use tables, presented at the Third Workshop on Input-Output Analysis of the Hispanic-American Input-Output Society, Santiago de Compostela, October 2012.
  • Cardenete, M.A. and Sancho, F. (2004). Sensitivity of CGE simulation results to competing SAM updates. The Review of Regional Studies, 34, 37–56.
  • Eurostat (2008). The Eurostat Manual of Supply, Use and Input-Output Tables, Luxembourg: Eurostat, 461- 475.
  • Golan, A., Judge G. and Robinson, S. (1994). Recovering information from incomplete or partial multisectoral economic data. Review of Economics and Statistics, 76, 541–549.
  • Hewings, G.J.D. (1969). Regional input-output models using national data: the structure of the west midlands economy. The Annals of Regional Science, 3, 179–191.
  • Hewings, G.J.D. (1977). Evaluating the possibilities for exchanging regional input-output coefficients. Environment and Planning A, 9, 927–944.
  • Jackson, R. and T. Murray (2003). Alternate Input-Output Matrix Updating Formulations, Research paper 2003-16, Regional Research Institute, West Virginia University.
  • Le Masné, P. (1990). Le système productif français face à ses voisins européens in La Comptabilité Nationale face au Défi International. Ed. E. Archanmault, O. Arkhipoff (Economica, Parı́s).
  • Lenzen, M., Gallego B. and Wood, R. (2009). Matrix balancing under conflicting information. Economic Systems Research, 21, 23–44.
  • Mı́nguez, R., J. Oosterhaven and F. Escobedo (2009). Cell-corrected ras method (CRAS) for updating or regionalizing an input-output matrix. Journal of Regional Science, 49, 329–348.
  • OECD (2015). Input-Output Tables. http://www.oecd.org/trade/input-outputtables.htm https://stats.oecd. org/Index.aspx?DataSetCode=IOTS
  • Oosterhaven, J. and Escobedo, F. (2011). A new method to estimate input-output tables by means of structural lags, tested on spanish regions. Papers in Regional Science, 90, 829–845.
  • Pyatt, G. and Round, J. (1985). Social Accounting Matrices: a Basis for Planning. Washington: The World Bank.
  • Pyatt, G. and Thorbecke, E. (1976). Planning Techniques for a Better Future. Geneva: International Labour Office.
  • Raggi, M., Mary, S., Santini, F. and Gómez y Paloma S. (2013). A classification of european NUTS 3 regions. JRC Technical Report, JRC85163.
  • Robinson, S., Cattaneo, A. and El-Said, M. (2001). Updating and estimating a social accounting matrix using cross entropy methods. Economic Systems Research, 13.
  • Round, J. (2003). Constructing SAMS for development policy analysis: lessons learned and challenges ahead. Economic Systems Research, 15, 161–183.
  • Salton, G. andM.J. McGill (1983). Introduction to Modern Information Retrieval, McGraw-Hill: New York.
  • Stone, R. (1961). Input-Output and National Accounts. Paris, Organisation for European Economic Cooperation.
  • Temurshoev, U. and Timmer, M. (2011). Joint estimation of supply and use tables. Papers in Regional Science, 90, 863–882.
  • Temurshoev, U., Webb, C. and Yamano, N. (2011). Projection of supply and use tables: methods and their empirical assessment. Economic Systems Research, 23, 91–123.
  • Thissen, M., Diodato, D., and van Oort, F. G. (2010). Integration and Convergence in Regional Europe?: European Regional Trade Flows from 2000 to 2010 (pp. 1–32). The Hague: PBL Netherlands Environmental Assessment Agency.
  • Thissen, M. and H. Lofgren (1998). A new approach to sam updating with an application to Egypt. Environment and Planning A, 30, 1991–2003.
  • Valderas, J.M., Rueda-Cantuche, J.M., Olmedo, E. and Beutel, J. (2016). The SUT-EURO and the SUT-RAS methods: extensions and fair comparisons. 24th International Input-Output Conference, Seoul, 4-8 July.