A Comment on Tobias Kronenberg’s “Construction of Regional Input-Output Tables Using Nonsurvey Methods: The Role of Cross-Hauling”

This article examines the effectiveness of a new non-survey regionalization method: Kronenberg’s Cross-Hauling Adjusted Regionalization Method (CHARM). This aims to take into account the fact that regions typically both import and export most commodities. Data for Uusimaa, Finland’s largest region, are employed to carry out a detailed empirical test of CHARM. This test gives very encouraging results. CHARM is suitable for studying environmental questions, but it can only be applied in situations where foreign imports have been included in the national input–output table. Where the focus is on regional output and employment, location quotients (LQs) can be used for purposes of regionalization. On both theoretical and empirical grounds, the FLQ appears to be the most suitable LQ currently available. It should be applied to national input–output tables that exclude foreign imports. Both types of table are available at the national level for all European Union members as well as for some other countries.

[1]  Sunggoan Choi,et al.  Identifying key sectors using regional input-output model at sub-national level , 2014 .

[2]  Tobias Kronenberg,et al.  Regional input-output models and the treatment of imports in the European System of Accounts (ESA) , 2012 .

[3]  A. Flegg,et al.  Regional Input–Output Tables and the FLQ Formula: A Case Study of Finland , 2010 .

[4]  Tobias Kronenberg,et al.  Construction of Regional Input-Output Tables Using Nonsurvey Methods , 2009 .

[5]  Andrea Bonfiglio,et al.  Assessing the Behaviour of Non-Survey Methods for Constructing Regional Input–Output Tables through a Monte Carlo Simulation , 2008 .

[6]  H. Gibson,et al.  Comparison of Gravity Model, Survey and Location Quotient-based Local Area Tables and Multipliers , 2006 .

[7]  Tuomas Louhela Estimation of Interregional Trade for Finnish Regions in 1996 and 2002 - Freight Flow and Gravity Approaches , 2006 .

[8]  Timo Tohmo,et al.  New Developments in the Use of Location Quotients to Estimate Regional Input–Output Coefficients and Multipliers , 2004 .

[9]  Anthony T. Flegg,et al.  Regional Size, Regional Specialization and the FLQ Formula , 2000 .

[10]  A. Flegg,et al.  On the Appropriate Use of Location Quotients in Generating Regional Input‐Output Tables: Reply , 1995 .

[11]  Jan Oosterhaven,et al.  A DOUBLE-ENTRY METHOD FOR THE CONSTRUCTION OF BIREGIONAL INPUT-OUTPUT TABLES , 1992 .

[12]  Guy R. West,et al.  Regional Trade Estimation: A Hybrid Approach , 1990 .

[13]  M H Robison,et al.  Cross-Hauling and Nonsurvey Input—Output Models: Some Lessons from Small-Area Timber Economies , 1988 .

[14]  Geoffrey J. D. Hewings,et al.  Regional, interregional and multiregional input-output analysis , 1986 .