How can the input-output matrix be used to analyze the multiplier effects and linkages of the fishing sector? An exercise for a set of Latin American countries
Abstract
The fishing sector in Argentina, Chile, Mexico and Peru presents comparative natural advantages and a relatively important socioeconomic value. However, historically most of the policy linked to the exploitation of natural resources have focused their efforts on the management of other activities. This is due, in part, to the assumption that the sector does not have the potential to generate effects that boost the rest of the economy. However, the empirical evidence on its multiplier effects and inter-industrial relations for Latin America is scarce. Within this framework, the objective of this research is to carry out a methodological exercise that allows assessing the importance of the fishing sector in the main producing countries of the region. For this, multiplier effects and indicators of productive interlinkages are estimated based on input-output matrices. The data correspond to the latest available at the time of this research, which is framed in a project of the Inter-American Institute for Global Change Research. This study constitutes a contribution to the literature, as it presents evidence on the usefulness of this type of data and methodologies for the assessment of the total economic effects of the activity and the analysis of its interindustrial relations. Finally, this research shows that an analysis based on the input-output matrix can be very useful for policy linked to the economic management of a natural resource such as that from fishing and aquaculture.
References
Banco Central de Chile. (2008). Estadísticas en Excel. Compilación de referencia. Matriz insumo-producto. http://si3.bcentral.cl/estadisticas/Principal1/Excel/CCNN/cdr/excel.html
Cai, J., Leung, P., Pan, M., & Pooley, S. G. (2005). Linkage of fisheries sectors to Hawaii’s economy and economic impacts of longline fishing regulations. University of Hawaii System. https://www.soest.hawaii.edu/PFRP/soest_jimar_rpts/cai_leung_rpt.pdf
Chenery, H. B., & Watanabe, T. (1958). International comparison of the structure of production. Econometrica, 26(4), 487-521. https://doi.org/10.2307/1907514
Comisión Económica para América Latina y el Caribe. (2005). Tópicos sobre el modelo de insumo-producto: teoría y aplicaciones. https://www.cepal.org/es/publicaciones/4737-topicos-modelo-insumo-producto-teoria-aplicaciones
Comisión Económica para América Latina y el Caribe. (2014). Métodos y aplicaciones de la planificación regional y local en América Latina. https://www.cepal.org/es/publicaciones/36967-metodos-aplicaciones-la-planificacion-regional-local-america-latina
Dietzenbacher, E., & Van der Linden, J. A. (1997). Sectoral and spatial linkages in the EC production structure. Journal of Regional Science, 37(2), 235-257. https://doi.org/10.1111/0022-4146.00053
Drejer, I. (2002). Input-output based measures of interindustry linkages revisited. A survey and discussion. 14o Conferencia Internacional de Técnicas Insumo-Producto, Montreal, Canadá. http://iioa.org/conferences/14th/files/Drejer_.pdf
Durán, J., & Banacloche, S. (2021). Análisis económicos a partir de matrices de insumo-producto: definiciones, indicadores y aplicaciones para América Latina. Cepal. https://www.cepal.org/es/publicaciones/47537-analisis-economicos-partir-matrices-insumo-producto-definiciones-indicadores
Food and Agriculture Organization. (2012). El estado mundial de la pesca y la acuicultura - 2012. https://www.fao.org/documents/card/en/c/eabe7e7b-0f09-5c43-a5a8-772daab14330
Food and Agriculture Organization. (2022). El estado mundial de la pesca y la acuicultura 2022. Hacia la transformación azul. https://www.fao.org/documents/card/es?details=CC0461ES
Hirschman, A. (1958). The strategy of economic development. Yale University Press.
Instituto Nacional de Estadística y Censos. (2001). Matriz insumo-producto. Argentina 1997. https://biblioteca.indec.gob.ar/bases/minde/2mi441_5.pdf
Instituto Nacional de Estadística y Geografía. (2008). Sistema de Clasificación Industrial de América del Norte, México. SCIAN 2007. https://www.inegi.org.mx/contenidos/productos/prod_serv/contenidos/espanol/bvinegi/productos/historicos/1329/702825023614/702825023614_1.pdf
Instituto Nacional de Estadística e Informática. (2014). Comportamiento de la Economía Peruana en el 2014. elhttps://www.inei.gob.pe/media/MenuRecursivo/publicaciones_digitales/Est/Lib1346/parte01.pdf
Jin, D., Hoagland, P., & Dalton, T. M. (2003). Linking economic and ecological models for a marine ecosystem. Ecological Economics, 46(3), 367-385. https://doi.org/10.1016/j.ecolecon.2003.06.001
Miller, R. E., & Blair, P. D. (2009). Input-output analysis. Foundations and extensions (2.a ed.). Cambridge University Press.
Morrissey, K., & O’Donoghue, C. (2013). The role of the marine sector in the irish national economy: an input-output analysis. Marine Policy, 37(1), 230-238. https://doi.org/10.1016/j.marpol.2012.05.004
Papathanasopoulou, E. (2013). Valuing ecosystem services using input-output techniques: The case of UK fisheries. Conferencia de Economistas Ambientales 2013, UK Network of Environmental Economists.
Rasmussen, P. N. (1956). Studies in inter-sectoral relations. Einar Harcks, København.
Rasmussen, P. N. (1963). Relaciones intersectoriales. Aguilar.
Seung C. K., & Waters, E. C. (2006). A review of regional economic models for fisheries management in the U. S. Marine Resource Economics, 21(1), 101-124. https://www.jstor.org/stable/42629497
Steinback, S. R. (2004). Using ready-made regional input output models to estimate backward-linkage effects of exogeneus output shocks. The Review of Regional Studies, 34(1), 57-71.
Steinback, S., & Thurnberg, E. (2006). Northeast region commercial fishing input-output model. NOAA Technical Memorandum NMFS-NE-188. U. S. Department of Commerce.
Zhao, R. (2013). The role of the ocean industry in the Chinese national economy: An input-output analysis. Center for the Blue Economy; Monterey Institute of International Studies.
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