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Cross-Hauling and Regional Input-Output Tables: The Case of the Province of Hubei, China

Author

Listed:
  • Yongming Huang

    (Institute for Development of Central China and Center for Industrial Development and Regional Competitiveness, Wuhan University)

  • Anthony T. Flegg

    (Department of Accounting, Economics, and Finance, University of the West of England)

  • Timo Tohmo

    (School of Business and Economics, University of Jyväskylä)

Abstract

Data for the Chinese province of Hubei are used to assess the performance of Kronenberg’s CHARM, a method that takes explicit account of cross-hauling when constructing regional input-output tables. A key determinant of cross-hauling is held to be the heterogeneity of the products of individual sectors, which is estimated using national data. However, contrary to the authors’ earlier findings for Finland, CHARM does not generate reliable estimates of Hubei’s sectoral exports, imports and volume of trade. It is crucial, therefore, especially in relatively small regions, to make adequate allowance for any known divergence between regional and national technology and heterogeneity.

Suggested Citation

  • Yongming Huang & Anthony T. Flegg & Timo Tohmo, 2014. "Cross-Hauling and Regional Input-Output Tables: The Case of the Province of Hubei, China," Working Papers Working Paper 2014-03, Regional Research Institute, West Virginia University.
    • Handle: RePEc:rri:wpaper:2014wp03
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    File URL: https://researchrepository.wvu.edu/rri_pubs/18/
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    References listed on IDEAS

    as
    1. Andrea Bonfiglio & Francesco Chelli, 2008. "Assessing the Behaviour of Non-Survey Methods for Constructing Regional Input-Output Tables through a Monte Carlo Simulation," Economic Systems Research, Taylor & Francis Journals, vol. 20(3), pages 243-258.
    2. Anthony T. Flegg & Leonardo J. Mastronardi & Carlos A. Romero, 2014. "Empirical evidence on the use of the FLQ formula for regionalizing national input-output tables: The case of the Province of C¨®rdoba, Argentina," Working Papers 20141406, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
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    Cited by:

    1. Rubén Martínez-Alpañez & José Daniel Buendía-Azorín & María del Mar Sánchez-de-la-Vega, 2023. "A New Improvement Proposal to Estimate Regional Input–Output Structure Using the 2D-LQ Approach," Economies, MDPI, vol. 11(1), pages 1-17, January.

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    More about this item

    Keywords

    regional input-output; non-survey methhods; CHARM; cross-hauling; China;
    All these keywords.

    JEL classification:

    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods

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