Extending the FLQ formula: a location quotient-based interregional input–output framework

REFERENCES

• Baldwin, R. (2006). The Euro’s Trade Effects (ECB Working Paper Series No. 594). Frankfurt: European Central Bank (ECB).
   Google Scholar
• Batten, D. F. (1982). The interregional linkages between national and regional input–output models. International Regional Science Review, 7, 53–67. doi:10.1177/016001768200700103
   Web of Science ®Google Scholar
• Bonfiglio, A., & 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, 243–258. doi:10.1080/09535310802344315
   Web of Science ®Google Scholar
• Bundesagentur für Arbeit. (2012). Sozialversicherungspflichtig Beschäftigte nach Wirtschaftszweigen (WZ2008), Beschäftigungsstatistik. Bundesagentur für Arbeit.
   Google Scholar
• Canning, P., & Wang, Z. (2004). A Flexible Modeling Framework to Estimate Interregional Trade Patterns and Input–Output Accounts (World Bank Policy Research Working Paper No. 3359). Washington, DC: World Bank.
   Google Scholar
• EUROSTAT. (2015a). EU trade since 1988 by CPA2008. ComExt Database [as of July 2015].
   Google Scholar
• EUROSTAT. (2015b). Geodata by administrative units. GISCO Database [as of July 2015].
   Google Scholar
• Fingleton, B., Garretsen, H., & Martin, R. (2015). Shocking aspects of monetary union: The vulnerability of regions in Euroland. Journal of Economic Geography, 15(5), 907–934. doi:10.1093/jeg/lbu055
   Web of Science ®Google Scholar
• Flegg, A. T., Huang, Y., & Tohmo, T. (2015). Using CHARM to adjust for cross-hauling: The case of the province of Hubei, China. Economic Systems Research, 27, 391–413. doi:10.1080/09535314.2015.1043516
   Web of Science ®Google Scholar
• Flegg, A. T., Mastronardi, L. J., & Romero, C. A. (2016). Evaluating the FLQ and AFLQ formulae for estimating regional input coefficients: Empirical evidence for the province of Córdoba, Argentina. Economic Systems Research, 28, 21–37. doi:10.1080/09535314.2015.1103703
   Web of Science ®Google Scholar
• Flegg, A. T., & Tohmo, T. (2013a). 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., & 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, 235–257. doi:10.1177/0160017612446371
   Web of Science ®Google Scholar
• Flegg, A. T., & Tohmo, T. (2016). Estimating regional input coefficients and multipliers: The use of FLQ is not a gamble. Regional Studies, 50, 310–325. doi:10.1080/00343404.2014.901499
   Web of Science ®Google Scholar
• Flegg, A. T., & Webber, C. D. (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., & Webber, C. D. (2000). Regional size, regional specialization and the FLQ formula. Regional Studies, 34, 563–569. doi:10.1080/00343400050085675
   Web of Science ®Google Scholar
• Hallegatte, S. (2012). Modeling the Roles of Heterogeneity, Substitution, and Inventories in the Assessment of Natural Disaster Economic Costs (World Bank Policy Research Working Paper No. 6047). Washington, DC: World Bank.
   Google Scholar
• Hermannsson, K. (2016). Beyond intermediates: The role of consumption and commuting in the construction of local input–output tables. Spatial Economic Analysis, 11(3), 315–339. doi: 10.1080/17421772.2016.1177194
   Web of Science ®Google Scholar
• Kowalewski, J. (2009). Methodology of the input–output analysis (HWWI Research Paper No. 25). Hamburg: HWWI.
   Google Scholar
• Kowalewski, J. (2015). Regionalization of national input–output tables: Empirical evidence on the Use of the FLQ formula. Regional Studies, 49(2), 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(2), 175–191. doi:10.1007/s10037-012-0065-2
   Google Scholar
• Linneman, H. (1966). An econometric study of international trade flows. Amsterdam: North Holland.
   Google Scholar
• Riddington, G., Gibson, H., & Anderson, J. (2006). Comparison of gravity model, survey and location quotient-based local area tables and multipliers. Regional Studies, 40(9), 1069–1081. doi:10.1080/00343400601047374
   Web of Science ®Google Scholar
• Sheperd, B. (2012). The gravity model of international trade: A user guide. New York: United Nations.
   Google Scholar
• Shibusawa, H., & Miyata, Y. (2011). Evaluating the dynamic and spatial economic impacts of an earthquake: A CGE application to Japan. Regional Science Inquiry Journal, 3(2), 13–25.
   Google Scholar
• Smith, P., & Morrison, W. I. (1974). Simulating the urban economy: Experiments with input–output techniques. London: Pion.
   Google Scholar
• Spoerri, C., Borsuk, M., Peters, I., & Reichert, P. (2007). The economic impacts of river rehabilitation: A regional input–output analysis. Ecological Economics, 62, 341–351. doi:10.1016/j.ecolecon.2006.07.001
   Web of Science ®Google Scholar
• Tinbergen, J. (1962). Shaping the world economy – Suggestions for an international economic policy. New York: The Twentieth Century Fund.
   Google Scholar
• Többen, J., & Kronenberg, T. (2015). Construction of multi-regional input–output tables using the CHARM method. Economic Systems Research, 27(4), 487–507. doi:10.1080/09535314.2015.1091765
   Web of Science ®Google Scholar
• United Nations. (1973). Input–output tables and analysis. New York: United Nations.
   Google Scholar
• West, G. R. (1995). Comparison of input–output, input–output econometric and computable general equilibrium impact models at the regional level. Economic Systems Research, 7(2), 209–227. doi:10.1080/09535319500000021
   Google Scholar