Appropriate assumption on cross-hauling national input–output table regionalization
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DOI: 10.1080/17421772.2018.1506151
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Cited by:
- Shogo Fukui, 2023. "Estimating Input Coefficients for Regional Input-Output Tables Using Deep Learning with Mixup," Papers 2305.01201, arXiv.org, revised Jun 2024.
- A. V. Kotov, 2021. "Options for the Spatial Development of Russia in the Context of Interregional Interactions," Studies on Russian Economic Development, Springer, vol. 32(3), pages 318-324, May.
- Cristian Mardones & Darling Silva, 2023. "Evaluation of Non-survey Methods for the Construction of Regional Input–Output Matrices When There is Partial Historical Information," Computational Economics, Springer;Society for Computational Economics, vol. 61(3), pages 1173-1205, March.
- Szabó, Norbert & Bilicz, Hanga Lilla, 2024. "Lokális ágazatközi kapcsolatok - hibrid ÁKM Pécs városrégióban [Local intersectoral linkages: hybrid input-output tables in the Pécs City Region]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(6), pages 624-652.
- Marek Radvanský & Ivan Lichner, 2021. "An alternative approach to the construction of multi-regional input–output tables of the Czech Republic: application of the CHARM method," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 48(4), pages 1083-1111, November.
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