神戸大学附属図書館デジタルアーカイブ
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https://doi.org/10.24546/00392446
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2024-04-25
21:45 集計
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00392446 (fulltext)
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メタデータID
00392446
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open access
出版タイプ
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タイトル
上海製造業とアジア経済危機 : DEAを用いた分析
ロンセツ シャンハイ セイゾウギョウト アジア ケイザイ キキ : DEA オ モチイタ ブンセキ
その他のタイトル
Manufacturing Industry in Shanghai City before and after the Asian Economic Crisis
著者
著者名
松永, 宣明
Matsunaga, Nobuaki
マツナガ, ノブアキ
所属機関名
神戸大学大学院国際協力研究科
収録物名
国際協力論集
巻(号)
11(2)
ページ
1-25
出版者
神戸大学大学院国際協力研究科
刊行日
2003-12
公開日
2007-06-06
抄録
The recent performance of Chinese economy is remarkably high even after the Asian economic crisis in 1997 but its reality is nevertheless unclear. Lack of reliable data has kept us from researching it clearly. This study tries to ana1yze it by focusing on manufacturing enterprises in Shanghai City. DEA (Data Envelopment Analysis) is used to measure the individual enterprise's efficiency in production process (CCR). Main findings are summarized below. First, the manufacturing industry in Shanghai City experienced an epoquemaking change from 1996 to 1999: the state-owned enterprise decreased to less than half in number of both enterprises and workers, but the foreign-funded, the private and the collective-owned enterprises increased drastically; the foreign-funded took over the domestic enterprise in terms of industrial production; the leading industry (metal products and machinery) developed so rapidly that a prime mover of the Shanghai manufacturing shifted to the heavy industry, which had a higher productivity of labor as well as the higher growth rate of labor productivity from 1996 to 1999. Second, when we look at the average values in labor productivity (Y/L), capital labor ratio (K/L), and efficiency score (CCR) by type of enterprises, clear tendencies are found that (1) the foreign-funded enterprise had the highest scores in all these measures, (2) the state-owned enterprise had a relatively high K/L but the lowest Y /L and CCR, (3) the private enterprise enjoyed a relatively high Y /L (higher than the state-owned but lower than the foreign-funded) owing to a high CCR and a low K/L. But such tendencies are hardly recognized when we observe them by size of employment. Third, when we apply a multiple regression analysis for each industry with Y /L as a dependent variable and with K/L, CCR, and dummy variables in terms of type of enterprise as explaining variables, CCR as well as K/L are found statistically significant. This multiple regression analysis results in considerably higher adjusted coefficients of determination than the case where CCR is not included as an explaining variable. This demonstrates clearly the importance of production efficiency (CCR) in the manufacturing industry in Shanghai City.
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国際協力研究科
国際協力論集
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11巻
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11巻2号(2003-12)
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資源タイプ
departmental bulletin paper
言語
Japanese (日本語)
ISSN
0919-8636
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NCID
AN10418744
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関連情報
NAID
110000551451
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URI
http://www.research.kobe-u.ac.jp/gsics-publication/jics/
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