CONSTRUCTION OF MULTI-REGIONAL INPUT–OUTPUT TABLES USING THE CHARM METHOD

References

• Bonfiglio, A. (2009) On the Parameterization of Techniques for Representing Regional Economic Structures. Economic Systems Research, 21, 115–127. doi: 10.1080/09535310902995727
   Web of Science ®Google Scholar
• Bonfiglio, A. and F. Chelli (2008) Assessing the Behaviour of Non-Survey Methods for Constructing Regional Input–Output Tables through a Monte Carlo Simulation. Economic Systems Research, 20, 243–258. doi: 10.1080/09535310802344315
   Web of Science ®Google Scholar
• Boomsma, P. and J. Oosterhaven (1992) A Double-Entry Method for the Construction of Bi-Regional Input–Output Tables. Journal of Regional Science, 32, 269–284. doi: 10.1111/j.1467-9787.1992.tb00186.x
   Web of Science ®Google Scholar
• Bouwmeester, M.C., J. Oosterhaven and J.M. Rueda-Cantuche (2014) A New SUT Consolidation Method Tested by a Decomposition of Value Added and CO2 Embodied in EU27 Exports. Economic Systems Research, 26, 511–541. doi: 10.1080/09535314.2014.892473
   Web of Science ®Google Scholar
• Cazcarro, I., R. Duarte and J. Sánchez Chóliz (2013) Multiregional Input–Output Model for the Evaluation of Spanish Water Flows. Environmental Science & Technology, 47, 12275–12283. doi: 10.1021/es4019964
   PubMed Web of Science ®Google Scholar
• Dietzenbacher, E., B. Los, R. Stehrer, M. Timmer and G. De Vries (2013) The Construction of World Input–Output Tables in the WIOD Project. Economic Systems Research, 25, 71–98. doi: 10.1080/09535314.2012.761180
   Web of Science ®Google Scholar
• Eding, G., J. Oosterhaven, B. De Vet and H. Nijmeijer (1999) Constructing Regional Supply and Use Tables: Dutch Experiences. In: Geoffrey Hewings, Michael Sonis, Moss Madden, and Yoshio Kimura (eds.) Understanding and Interpreting Economic Structure. Springer, Berlin, Heidelberg, New York, 237–262.
   Google Scholar
• Eurostat. (2008) Eurostat Manuel of Supply, Use and Input–Output Tables (Manual No. KS-RA-07–013-EN-N).
   Google Scholar
• Flegg, A.T. and T. Tohmo (2013a) 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, 235–257. doi: 10.1177/0160017612446371
   Web of Science ®Google Scholar
• Flegg, A.T. and T. Tohmo (2013b) Regional Input–Output Tables and the FLQ Formula: A Case Study of Finland. Regional Studies, 47, 703–721. doi: 10.1080/00343404.2011.592138
   Web of Science ®Google Scholar
• Flegg, A.T. and T. Tohmo (2014) Estimating Regional Input Coefficients and Multipliers: The Use of FLQ is Not a Gamble. Regional Studies. http://dx.doi.org/10.1080/00343404.2014.901499
   Web of Science ®Google Scholar
• Flegg, A.T. and C.D. Webber (1997) On the Appropriate Use of Location Quotients in Generating Regional Input-Output Tables: Reply. Regional Studies, 31, 795–805. doi: 10.1080/713693401
   Web of Science ®Google Scholar
• Flegg, A.T. and C.D. Webber (2000) Regional Size, Regional Specialization and the FLQ Formula. Regional Studies, 34, 563–569. doi: 10.1080/00343400050085675
   Web of Science ®Google Scholar
• Flegg, A.T., C.D. Webber and M.V. Elliott (1995) On the Appropriate Use of Location Quotients in Generating Regional Input–Output Tables. Regional Studies, 29, 547–561. doi: 10.1080/00343409512331349173
   Web of Science ®Google Scholar
• Flegg, A.T., Y. Huang and T. Tohmo (2015) Using CHARM to Adjust for Cross-Hauling: The Case of the Province of Hubei, China. Economic Systems Research. http://dx.doi.org/10.1080/09535314.2015.1043516
   Web of Science ®Google Scholar
• Gallego, B. and M. Lenzen (2009) Estimating Generalised Regional Input–Output Systems: A Case Study of Australia. In: Matthias Ruth & Brynhildur Davidsdottier (eds.) The Dynamics of Regions and Networks in Industrial Ecosystems. Edward Elgar, Cheltenham, 55–82.
   Google Scholar
• Harris, R.I. and A. Liu (1998) Input-Output Modelling of the Urban and Regional Economy: The Importance of External Trade. Regional Studies, 32, 851–862. doi: 10.1080/00343409850118004
   Web of Science ®Google Scholar
• Isard, W. (1951) Interregional and Regional Input–Output Analysis: A Model of a Space-Economy. The Review of Economics and Statistics, 33, 318–328. doi: 10.2307/1926459
   Web of Science ®Google Scholar
• Isard, W., I.J. Azis, M.P. Drennan, R.E. Miller, S. Saltzman and E. Thorbecke. (1998) Methods of Interregional and Regional Analysis. Aldershot, Ashgate.
   Google Scholar
• Isserman, A.M. (1980) Estimating Export Activity in a Regional Economy: A Theoretical and Empirical Analysis of Alternative Methods. International Regional Science Review, 5, 155–184. doi: 10.1177/016001768000500204
   Google Scholar
• Jackson, R.W. (1998) Regionalizing National Commodity-By-Industry Accounts. Economic Systems Research, 10, 223–238. doi: 10.1080/762947109
   Google Scholar
• Jackson, R.W. (2014) Cross-Hauling in Input–Output Tables: Comments on CHARM. Working Paper 2014–2002, Regional Research Institute, West Virginia University. Accessed June 15. http://rri.wvu.edu
   Google Scholar
• Jackson, R.W., W.R. Schwarm, Y. Okuyama and S. Islam (2006) A Method for Constructing Commodity by Industry Flow Matrices. The Annals of Regional Science, 40, 909–920. doi: 10.1007/s00168-006-0072-8
   Web of Science ®Google Scholar
• Jensen, R.C. (1980) The Concept of Accuracy in Regional Input–Output Models. International Regional Science Review, 5, 139–154. doi: 10.1177/016001768000500203
   Google Scholar
• Kowalewski, J. (2015) Regionalization of National Input–Output Tables: Empirical Evidence on the Use of the FLQ Formula. Regional Studies, 49, 240–250. doi: 10.1080/00343404.2013.766318
   Web of Science ®Google Scholar
• Kronenberg, T. (2009) Construction of Regional Input–Output Tables Using Nonsurvey Methods The Role of Cross-Hauling. International Regional Science Review, 32, 40–64. doi: 10.1177/0160017608322555
   Web of Science ®Google Scholar
• Kronenberg, T. (2012) Regional Input–Output Models and the Treatment of Imports in the European System of Accounts (ESA). Jahrbuch für Regionalwissenschaft, 32, 175–191. doi: 10.1007/s10037-012-0065-2
   Google Scholar
• Kronenberg, T. and J. Többen (2013) Über die Erstellung regionaler Input–Output-Tabellen und die Verbuchung von Importen. In: IWH (ed.) Neuere Anwendungsfelder der Input–Output-Analyse. Beiträge zum Halleschen Input–Output-Workshop 2012, IWH, Halle (Saale), 201–222.
   Google Scholar
• Lahr, M.L. (1993) A Review of the Literature Supporting the Hybrid Approach to Constructing Regional Input–Output Models. Economic Systems Research, 5, 277–293. doi: 10.1080/09535319300000023
   Google Scholar
• Lahr, M.L. (2001) Reconciling Domestication Techniques, the Notion of Re-Exports and Some Comments on Regional Accounting. Economic Systems Research, 13, 165–179. doi: 10.1080/09537320120052443
   Google Scholar
• Lehtonen, O. and M. Tykkyläinen (2014) Estimating Regional Input Coefficients and Multipliers: Is the Choice of a Non-Survey Technique a Gamble? Regional Studies, 48, 382–399. doi: 10.1080/00343404.2012.657619
   Web of Science ®Google Scholar
• Leigh, R. (1970) The Use of Location Quotients in Urban Economic Base Studies. Land Economics, 46, 202–205. doi: 10.2307/3145181
   Web of Science ®Google Scholar
• Lenzen, M., K. Kanemoto, D. Moran and A. Geschke (2012a) Mapping the Structure of the World Economy. Environmental Science & Technology, 46, 8374–8381. doi: 10.1021/es300171x
   PubMed Web of Science ®Google Scholar
• Lenzen, M., D. Moran, K. Kanemoto, B. Foran, L. Lobefaro and A. Geschke (2012b) International Trade Drives Biodiversity Threats in Developing Nations. Nature, 486, 109–112. doi: 10.1038/nature11145
   PubMed Web of Science ®Google Scholar
• Lenzen, M., D. Moran, K. Kanemoto and A. Geschke (2013) Building EORA: A Global Multi-Region Input–Output Database at High Country and Sector Resolution. Economic Systems Research, 25, 20–49. doi: 10.1080/09535314.2013.769938
   Web of Science ®Google Scholar
• Lenzen, M., A. Geschke, T. Wiedmann, J. Lane, N. Anderson, T. Baynes, J. Boland, P. Daniels, C. Dey and J. Fry (2014) Compiling and Using Input–Output Frameworks through Collaborative Virtual Laboratories. Science of the Total Environment, 485-486, 241–251. doi: 10.1016/j.scitotenv.2014.03.062
   PubMed Web of Science ®Google Scholar
• Liang, Q.-M., Y. Fan and Y.-M. Wei (2007) Multi-regional Input–Output Model for Regional Energy Requirements and CO2 Emissions in China. Energy Policy, 35, 1685–1700. doi: 10.1016/j.enpol.2006.04.018
   Web of Science ®Google Scholar
• Madsen, B. and C. Jensen-Butler (1999) Make and Use Approaches to Regional and Interregional Accounts and Models. Economic Systems Research, 11, 277–300. doi: 10.1080/09535319900000019
   Google Scholar
• Malik, A., M. Lenzen, R.N. Ely and E. Dietzenbacher (2014) Simulating the Impact of New Industries on the Economy: The Case of Biorefining in Australia. Ecological Economics, 107, 84–93. doi: 10.1016/j.ecolecon.2014.07.022
   Web of Science ®Google Scholar
• Norcliffe, G. (1983) Using Location Quotients to Estimate the Economic Base and Trade Flows. Regional Studies, 17, 161–168. doi: 10.1080/09595238300185161
   Web of Science ®Google Scholar
• Oosterhaven, J. (2005) Spatial Interpolation and Disaggregation of Multipliers. Geographical Analysis, 37, 69–84. doi: 10.1111/j.1538-4632.2005.00522.x
   Web of Science ®Google Scholar
• Round, J.I. (1978) An Interregional Input-Output Approach to the Evaluation of Nonsurvey Methods. Journal of Regional Science, 18, 179–194. doi: 10.1111/j.1467-9787.1978.tb00540.x
   Web of Science ®Google Scholar
• Round, J.I. (1983) Nonsurvey Techniques: A Critical Review of the Theory and the Evidence. International Regional Science Review, 8, 189–212. doi: 10.1177/016001768300800302
   Web of Science ®Google Scholar
• Sargento, A.L.M. (2009) Regional Input–Output Tables and Models: Interregional Trade Estimation and Input–Output Modelling Based on Total Use Rectangular Tables (PhD Thesis, Faculdade de Economia, Universidade de Coimbra).
   Google Scholar
• Sargento, A.L., P.N. Ramos and G.J. Hewings (2012) Inter-Regional Trade Flow Estimation Through Non-Survey Models: An Empirical Assessment. Economic Systems Research, 24, 173–193. doi: 10.1080/09535314.2011.574609
   Web of Science ®Google Scholar
• Tohmo, T. (2004) New Developments in the Use of Location Quotients to Estimate Regional Input–Output Coefficients and Multipliers. Regional Studies, 38, 43–54. doi: 10.1080/00343400310001632262
   Web of Science ®Google Scholar
• Tukker, A., A. de Koning, R. Wood, T. Hawkins, S. Lutter, J. Acosta, J. M. Rueda Cantuche, M. Bouwmeester, J. Oosterhaven, T. Drosdowski, and J. Kuenen (2013) Exiopol – Development and Illustrative Analyses of a Detailed Global MR EE SUT/IOT. Economic Systems Research, 25, 50–70. doi: 10.1080/09535314.2012.761952
   Web of Science ®Google Scholar
• United Nations Statistical Division. (2008) International Merchandise Trade Statistics: Supplement to the Compilers Manual. New York, United Nations Publications.
   Google Scholar
• Yi, I., N. Itsubo, A. Inaba and K. Matsumoto (2007) Development of the Interregional I/O Based LCA Method Considering Region-Specifics of Indirect Effects in Regional Evaluation. The International Journal of Life Cycle Assessment, 12, 353–364. doi: 10.1007/s11367-007-0339-z
   Web of Science ®Google Scholar