Application of the Input-Output Decomposition Technique to China's Regional Economies
Abstract
Structural decomposition techniques based on input-output table have become a widely used tool for analyzing long term economic growth. However, due to limitations of data, such techniques have never been applied to China's regional economies. Fortunately, in 2003, China's Interregional Input-Output Table for 1987 and Multi-regional Input-Output Table for 1997 were published, making decomposition analysis of China's regional economies possible. This paper first estimates the interregional input-output table in constant price by using an alternative approach: the Grid-Search method, and then applies the standard input-output decomposition technique to China's regional economies for 1987-97. Based on the decomposition results, the contributions to output growth of different factors are summarized at the regional and industrial level. Furthermore, interdependence between China's regional economies is measured and explained by aggregating the decomposition factors into the intraregional multiplier-related effect, the feedback-related effect, and the spillover-related effect. Finally, the performance of China's industrial and regional development policies implemented in the 1990s is briefly discussed based on the analytical results of the paper.Download Info
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Paper provided by Institute of Developing Economies, Japan External Trade Organization(JETRO) in its series IDE Discussion Papers with number 102.Length:
Date of creation: Apr 2007
Date of revision:
Publication status: Published in IDE Discussion Paper. No. 102. 2007.4
Handle: RePEc:jet:dpaper:dpaper102
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Related research
Keywords: Input-Output; Decomposition; Economic growth; China; Local economy; Imput-output tables;Find related papers by JEL classification:
- C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
- C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data
- O40 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
- R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods
This paper has been announced in the following NEP Reports:
- NEP-ALL-2007-08-27 (All new papers)
- NEP-CNA-2007-08-27 (China)
- NEP-GEO-2007-08-27 (Economic Geography)
- NEP-TRA-2007-08-27 (Transition Economics)
References
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- Wolff, Edward N., 1994. "Productivity measurement within an input-output framework," Regional Science and Urban Economics, Elsevier, vol. 24(1), pages 75-92, February.
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China Economic Review,
Elsevier, vol. 13(2-3), pages 161-169.
- Jean-Fran�ois BRUN & Jean-Louis COMBES & Mary-Fran�oise RENARD, 2001. "Are There Spillover Effects Between Coastal and Non-Coastal Regions in China ?," Working Papers 200113, CERDI.
- Erik Dietzenbacher & Bart Los, 1998. "Structural Decomposition Techniques: Sense and Sensitivity," Economic Systems Research, Taylor and Francis Journals, vol. 10(4), pages 307-324.
- Dietzenbacher, Erik & Hoen, Alex R, 1998. "Deflation of Input-Output Tables from the User's Point of View: A Heuristic Approach," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 44(1), pages 111-22, March.
- Round, Jeffrey I, 1985. "Decomposing Multipliers for Economic Systems Involving Regional and World Trade," Economic Journal, Royal Economic Society, vol. 95(378), pages 383-99, June.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
- Marco Antonio Márquez Mendoza, 2012. "Efectos de derrame y de retroalimentación industrial en América del Norte: un enfoque nacional e internacional," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(1), pages 1-34, May.
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