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Beyond intermediates: the role of consumption and commuting in the construction of local input-output tables

Hermannsson, K. (2016) Beyond intermediates: the role of consumption and commuting in the construction of local input-output tables. Spatial Economic Analysis, 11(3), pp. 315-339. (doi: 10.1080/17421772.2016.1177194)

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Abstract

Estimating intermediate trade using conventional non-survey methods produces biased results. This problem has led to a methodological recommendation that emphasises the accurate estimation of intermediate trade flows. This paper argues for a qualification of the consensus view: when simulating input-output (IO) tables, analysts need also to consider spill-over effects driven by wage and consumption flows. In particular, for metropolitan economies, capturing wage and consumption flows is essential to obtain accurate Type II multipliers. This is demonstrated by constructing an interregional IO table, which captures the interdependence between a city and its commuter belt, nested within the wider regional economy.

Item Type:	Articles
Keywords:	Input-output, location quotients, commuting, consumption.
Status:	Published
Refereed:	Yes
Glasgow Author(s) Enlighten ID:	Hermannsson, Professor Kristinn
Authors:	Hermannsson, K.
Subjects:	H Social Sciences > HB Economic Theory
College/School:	College of Social Sciences > School of Education College of Social Sciences > School of Education > Educational Leadership & Policy
Journal Name:	Spatial Economic Analysis
Publisher:	Routledge
ISSN:	1742-1772
ISSN (Online):	1742-1780
Published Online:	01 June 2016
Copyright Holders:	Copyright © 2016 Regional Studies Association
First Published:	First published in Spatial Economic Analysis 11(3): 315-339
Publisher Policy:	Reproduced in accordance with the copyright policy of the publisher

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References

Batey, P.W., 1985. Input-output models for regional demographic-economic analysis: some structural comparisons. Environment and Planning A, 17(1), pp.73-99. Bonfiglio, A., 2009. On the parameterization of techniques for representing regional economic structures. Economic Systems Research, 21(2), pp.115-127. Bonfiglio, A. and Chelli, F., 2008. Assessing the behaviour of non-survey methods for constructing regional input–output tables through a Monte Carlo simulation. Economic Systems Research, 20(3), pp.243-258. Boomsma, P., and Oosterhaven, J. (1992). A double-entry method for the construction of bi-regional input-output tables. Journal of Regional Science, 32(3), pp.269-284. Emonts-Holley, T., Ross, A., and Swales, J. K. (2015). Type II errors in IO multipliers. Strathclyde Discussion Papers in Economics 15-04. Retrieved from the World Wide Web: https://www.strath.ac.uk/media/departments/economics/researchdiscussionpapers/15-04.pdf Flegg, A.T., Webber, C.D. and Elliott, M.V., 1995. On the appropriate use of location quotients in generating regional input–output tables. Regional studies, 29(6), pp.547-561. Flegg, A.T. and Webber, C.D., 2000. Regional size, regional specialization and the FLQ formula. Regional Studies, 34(6), pp.563-569. Flegg, A. T., and Tohmo, T. 2013a. Regional input–output tables and the FLQ formula: a case study of Finland. Regional studies, 47(5), pp.703-721. Flegg, A. T., and Tohmo, T. 2013b. A Comment on Tobias Kronenberg’s “Construction of regional input-output tables using nonsurvey methods: the role of cross-hauling”. International Regional Science Review, 36(2), pp.235-257. Flegg, A.T. and T. Tohmo 2016. Estimating regional input coefficients and multipliers: the use of FLQ is not a gamble. Regional Studies, Vol. 50, No. 2, pp. 310-325. Flegg, A.T., L.J. Mastronardi and C.A. Romero 2015. Evaluating the FLQ and AFLQ formulae for estimating regional input coefficients: empirical evidence for the province of Córdoba, Argentina. Economic Systems Research, Published online: 12 Nov 2015, DOI: 10.1080/09535314.2015.1103703. Harrigan, F., McGilvray, J.W. and McNicoll, I.H., 1981. The estimation of interregional trade flows. Journal of Regional Science, 21(1), pp.65-77. Harris, R.I. and Liu, A., 1998. Input‐output modelling of the urban and regional economy: the importance of external trade. Regional Studies, 32(9), pp.851-862. Hewings, G.J., Okuyama, Y. and Sonis, M., 2001. Economic interdependence within the Chicago metropolitan area: a Miyazawa analysis. Journal of Regional Science, 41(2), pp.195-217. Hewings, G.J. and Parr, J.B., 2007. Spatial interdependence in a metropolitan setting. Spatial Economic Analysis, 2(1), pp.7-22. Hillis, I. 1998. Sub regional government accounts (experimental). Office for National Statistics (ONS). Retrieved from the World Wide Web: http://www.statistics.gov.uk/statbase/Product.asp?vlnk=9580andMore=Y Jun, M.J., 2004. A metropolitan input-output model: multisectoral and multispatial relations of production, income formation, and consumption. The Annals of Regional Science, 38(1), pp.131-147. Kowalewski, J. 2015. Regionalization of national input–output tables: empirical evidence on the use of the FLQ formula. Regional Studies, 49, 240-250. Kronenberg, T., 2009. Construction of Regional Input-Output Tables Using Nonsurvey Methods The Role of Cross-Hauling. International Regional Science Review, 32(1), pp.40-64. Lahr, M.L. (1993). A Review of the Literature Supporting the Hybrid Approach to Constructing Regional Input-Output Models. Economic Systems Research. Vol. 5, No. 3, pp. 277-293. Lahr, M.L., 1993. A review of the literature supporting the hybrid approach to constructing regional input–output models. Economic Systems Research, 5(3), pp.277-293. Madden, M., 1985. Demographic-economic analysis in a multi-zonal region: a case study of Nordrhein-Westfalen. Regional Science and Urban Economics, 15(4), pp.517-540. Madsen, B. and Jensen-Butler, C., 2005. Spatial accounting methods and the construction of spatial social accounting matrices. Economic systems research, 17(2), pp.187-210. Miller, R.E. and Blair, P.D., 2009. Input-output analysis: foundations and extensions, 2nd edition. Cambridge University Press. Norcliffe, G.B., 1983. Using location quotients to estimate the economic base and trade flows. Regional Studies, 17(3), pp.161-168. Oosterhaven, J., 1981. Interregional Input^ Output Analysis and Dutch Regional Policy Problems. Aldershot: Gower. Oosterhaven, J. and Stelder, D. 2007. Regional and interregional IO analysis. Monograph: University of Groningen, Faculty of Economics and Business. Oosterhaven, J. and Escobedo‐Cardeñoso, F., 2011. A new method to estimate input‐output tables by means of structural lags, tested on Spanish regions. Papers in Regional Science, 90(4), pp.829-844. Richardson, H.W., 1985. Input‐Output and Economic Base Multipliers: Looking Backward and Forward*. Journal of Regional Science, 25(4), pp.607-661. Riddington, G., Gibson, H. and Anderson, J., 2006. Comparison of gravity model, survey and location quotient-based local area tables and multipliers. Regional Studies, 40(9), pp.1069-1081. Roberts, D., 2003. The economic base of rural areas: a SAM-based analysis of the Western Isles, 1997. Environment and Planning A, 35(1), pp.95-112. Round, J.I. 1978. An interregional input-output approach to the evaluation of nonsurvey methods. Journal of Regional Science, 18(2), pp. 179-194. Schaffer, W.A. and Chu, K., 1969. Nonsurvey techniques for constructing regional interindustry models. Papers in Regional Science, 23(1), pp.83-104. Smith, P. and Morrison, W.I. (1974). Simulating the urban economy: input-output techniques. London: Pion. Stevens, B.H. and Treyz, G.I., 1986. A multiregional model forecast for the United States through 1995. The American Economic Review, pp.304-307. Stoeckl, N., 2012. Comparing Multipliers from Survey and Non-Survey Based IO Models An Empirical Investigation from Northern Australia. International Regional Science Review, 35(4), pp.367-388. Tohmo, T., 2004. New developments in the use of location quotients to estimate regional input–output coefficients and multipliers. Regional studies, 38(1), pp.43-54. van Dijk, J. and Oosterhaven, J. (1986). Regional impacts of migrants expenditures: an input-output/vacancy-chain approach.In Batey, P.W.J. and Madden, M. (eds.) London Papers in Regional Science, 15, pp. 122-146. West, G.R., 1990. Regional trade estimation: a hybrid approach. International Regional Science Review, 13(1-2), pp.103-118. Willis, K.G., 1987. Spatially disaggregated input-output tables: an evaluation and comparison of survey and nonsurvey results. Environment and Planning A, 19(1), pp.107-116. Wilson, A.G. 1970. Entropy in urban and regionalm odelling. London: Pion.

Deposit and Record Details

ID Code:	116733
Depositing User:	Professor Kristinn Hermannsson
Datestamp:	02 Mar 2016 11:48
Last Modified:	06 Apr 2022 15:06
Date of acceptance:	15 February 2016
Date of first online publication:	1 June 2016
Date Deposited:	2 March 2016
Data Availability Statement:	No