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碩士 === 國立中央大學 === 產業經濟研究所 === 101 === The main purpose of this study is to examine how the concentration of R&D resources affects cross-industry productivity growth based on the data of Taiwanese manufacturing firms listed in Taiwan security market of the two-digit SIC industry (SIC 31) over the...
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ndltd-TW-101NCU053340422015-10-13T22:34:51Z http://ndltd.ncl.edu.tw/handle/95768412666059445253 none 研發專業化與生產效率 Bo-tien CHENG 鄭博典 碩士 國立中央大學 產業經濟研究所 101 The main purpose of this study is to examine how the concentration of R&D resources affects cross-industry productivity growth based on the data of Taiwanese manufacturing firms listed in Taiwan security market of the two-digit SIC industry (SIC 31) over the period 2007-2011。First, we estimate technical efficiency (TE) scores by stochastic frontier analysis. Then we use meta-frontier production function, proposed by Battese, Rao, and O’donnell (2004), to consider the fact that different manufacturing firms are operating under different environment and technology. Finally, we adopt several indices to measure R&D inequality which are then used to study the determinants of cross-industry productivity growth. The empirical evidence shows that the effect of R&D inequality on productivity growth is significantly negative in the Non-Electronic industrial firms. But even in the Non-Electronic industries, we find that the firms in Chemical industry have opposite results. On the other hand, there is positive effect of R&D inequality on the productivity of Electronic firms. Jong-Rong Chen 陳忠榮 2013 學位論文 ; thesis 52 zh-TW |
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碩士 === 國立中央大學 === 產業經濟研究所 === 101 === The main purpose of this study is to examine how the concentration of R&D resources affects cross-industry productivity growth based on the data of Taiwanese manufacturing firms listed in Taiwan security market of the two-digit SIC industry (SIC 31) over the period 2007-2011。First, we estimate technical efficiency (TE) scores by stochastic frontier analysis. Then we use meta-frontier production function, proposed by Battese, Rao, and O’donnell (2004), to consider the fact that different manufacturing firms are operating under different environment and technology. Finally, we adopt several indices to measure R&D inequality which are then used to study the determinants of cross-industry productivity growth.
The empirical evidence shows that the effect of R&D inequality on productivity growth is significantly negative in the Non-Electronic industrial firms. But even in the Non-Electronic industries, we find that the firms in Chemical industry have opposite results. On the other hand, there is positive effect of R&D inequality on the productivity of Electronic firms.
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Jong-Rong Chen |
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Jong-Rong Chen Bo-tien CHENG 鄭博典 |
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Bo-tien CHENG 鄭博典 |
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Bo-tien CHENG 鄭博典 none |
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Bo-tien CHENG |
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2013 |
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http://ndltd.ncl.edu.tw/handle/95768412666059445253 |
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