An Empirical Identification of Key Sectors Using Regional Input-Output Model in Korea: Non-survey Techniques
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초록
Since key sectors have high backward and forward linkages with the rest of the economy, investment in these sectors is expected to maximize economic growth, which is extensively meaningful in underdeveloped or developing countries with limited resources. Besides, identifying key sectors is considerably necessary and helpful for analyzing the long-term structural change and making the strategic policy of economic development, both at the national and regional level. However, the identification of the key sectors is somehow difficult to operate in practice at the regional level due to the absence of regional data at hand. In this study, the traditional backward and forward linkages are employed as indicators to identify the key sectors for sub-national regions where the input-output (IO) tables are unavailable. The regional IO tables are produced by adjusting national ones with several non-survey techniques. To capture the performance of non-survey techniques on recognizing key sectors, the estimated regional backward/forward linkages are computed and compared with the survey based benchmarks through the rank correlation coefficients. A large value of correlation coefficient indicates a high capability of the non-survey techniques on the identification of regional key sectors. At last, an empirical study is given with Korean 2005 national and regional IO tables.
Abstract
Since key sectors have high backward and forward linkages with the rest of the economy, investment in these sectors is expected to maximize economic growth, which is extensively meaningful in underdeveloped or developing countries with limited resources. Besides, identifying key sectors is considerably necessary and helpful for analyzing the long-term structural change and making the strategic policy of economic development, both at the national and regional level. However, the identification of the key sectors is somehow difficult to operate in practice at the regional level due to the absence of regional data at hand. In this study, the traditional backward and forward linkages are employed as indicators to identify the key sectors for sub-national regions where the input-output (IO) tables are unavailable. The regional IO tables are produced by adjusting national ones with several non-survey techniques. To capture the performance of non-survey techniques on recognizing key sectors, the estimated regional backward/forward linkages are computed and compared with the survey based benchmarks through the rank correlation coefficients. A large value of correlation coefficient indicates a high capability of the non-survey techniques on the identification of regional key sectors. At last, an empirical study is given with Korean 2005 national and regional IO tables.
참고문헌 (44)
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