Revealing the Growth Potentials with Input-Output Model at Sub-national Level

Sunggoan Choi ()

ERSA conference papers from European Regional Science Association

Abstract: The regional growth potential, which frequently appears in economic analyses, is notoriously difficult to handle in practice. Estimation of growth potentials for development forecasting and strategic planning remains actual and meaningful, which is especially true for long-term predictions of structural shifts in the economy, both at national and regional level. The Regional Input-Output (RIO) model has been a powerful tool in applications of the industrial interdependence, impact analysis and policy strategies. Also the RIO model can be attempted to identify leading industries through linkage effects. The backward and forward linkages for the sectors in a single economy provide a mechanism for identifying key or leading sectors in the economy. In this study, we try to identify the leading industries by the RIO model along with non-survey techniques to explore growth potentials. The estimated multipliers which represent the backward linkage are compared with the survey based benchmarks through the rank correlation coefficients.

Keywords: Growth potential; Input-Output model; Location quotients; Non-survey techniques; Leading industries (search for similar items in EconPapers)
Date: 2013-11
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www-sre.wu.ac.at/ersa/ersaconfs/ersa13/ERSA2013_paper_00073.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wiw:wiwrsa:ersa13p73

Access Statistics for this paper

More papers in ERSA conference papers from European Regional Science Association Welthandelsplatz 1, 1020 Vienna, Austria.
Bibliographic data for series maintained by Gunther Maier ().