Abstract
Input-Output table is important for analyzing the relationship among industrial sectors when we decide a policy making. In this paper we propose to consider the indirect effect between sectors in sales and sectors in purchases from Input-Output table. We adopt a economical interaction model permitting consideration of several path selection for each origin-destination pair. The economical interaction model is considered as a general model because it has been developed by entropy maximization principle. From observed data about total output in sales and purchases, our model can estimate interdependencies between different industrial sectors. The parameter estimation procedure for the proposed model is developed.
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Toyoda, T., Horii, H.: Application of Structural Modeling Analysis to Social Problems. For Falsification Issues at Tepco’s BWR Plant. Sociotechnology Research Network 1, 16–24 (2003)
Toyota, N., Saegusa, T.: Importance Measure of Instructional Elements in Teaching Strategies. IEICE Technical Report. Educational Technology 96(148), 121–128 (1996)
Okuhara, K., Yeh, K.Y., Shibata, J., Ishii, H., Hsia, H.C.: Evaluation and Assignment of Traffic Volume for Urban Planning Based on Planner and User Stance. International Journal of Innovative Computing, Information and Control 4(5), 1151–1160 (2008)
Okuhara, K., Tanaka, T., Ishii, H.: Routing and flow control by genetic algorithm for a flow model. Systems and Computers in Japan 34(1), 11–20 (2003)
Wilson, A.G.: Entropy in urban and regional modelling. Pion, London (1970)
Okuhara, K., Ishii, H., Uchida, M.: Support of decision making by data mining using neural system. Systems and Computers in Japan 36(11), 102–110 (2005)
Okuhara, K., Shibata, J., Ishii, H.: Adaptive Worker’s Arrangement and Workload Control for Project Management by Genetic Algorithm. International Journal of Innovative Computing, Information and Control 3(1), 175–188 (2007)
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© 2014 Springer-Verlag Berlin Heidelberg
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Okuhara, K., Tsuda, H., Tsubaki, H. (2014). Extraction of Indirect Effect among Sectors in Industrial Network Based on Input-Output Data. In: Wang, L.SL., June, J.J., Lee, CH., Okuhara, K., Yang, HC. (eds) Multidisciplinary Social Networks Research. MISNC 2014. Communications in Computer and Information Science, vol 473. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45071-0_31
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DOI: https://doi.org/10.1007/978-3-662-45071-0_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-45070-3
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