Technology Adoption, Learning by Doing, and Productivity: A Study of Steel Refining Furnaces
Technology Adoption, Learning by Doing, and Productivity: A Study of Steel Refining Furnaces
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技术采用、边做边学和生产力：炼钢炉研究
DOI：
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发表时间：
2005
期刊：
影响因子：
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通讯作者：
H. Ohashi
中科院分区：
文献类型：
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作者：
Tsuyoshi Nakamura;H. Ohashi
传统资本通过实践学习的模型预测，在引入新技术后，生产率最初会下降。本文考察了20世纪50年代和60年代新技术对日本钢铁工业工厂级生产率的影响。碱性氧炉的引入是上个世纪炼钢工艺的最大突破。考虑到工厂所拥有的精炼炉之间的技术差异，我们估计了生产函数。估计结果表明，生产率更高的工厂可能会采用新技术，而采用新技术的时间恰好在旧技术的生产率水平达到顶峰之后。我们发现，新技术的采用不仅是该行业在20世纪60年代初生产率放缓的主要原因，也是该行业在战后时期显著增长的原因。这些结果对投入和技术选择的内生性是稳健的。
Models of vintage-capital learning by doing predict an initial fall in productivity after the introduction of new technology. This paper examines the impact of new technology on plant-level productivity in the Japanese steel industry in the 1950s and 1960s. The introduction of the basic oxygen furnace was the greatest breakthrough in the steel refining process in the last century. We estimate production function, taking account of the differences in technology between the refining furnaces owned by a plant. Estimation results indicate that a more productive plant was likely to adopt the new technology, and that the adoption would be timed to occur right after the peak of the productivity level achieved with the old technology. We have found that the adoption of the new technology primarily accounted not only for the industry's productivity slowdown in the early 1960s, but also for the industry's remarkable growth in the post-war period. These results are robust to endogeneity in the choice of input and technology.
边干边学、出口补贴和行业增长：20 世纪 50 年代和 60 年代的日本钢铁
DOI：
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发表时间：
2005
期刊：
Journal of International Economics (2005予定)(未定)
影响因子：
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作者：
Hiroshi Ohashi;Tae-Seung Kim;Tae Oum;Chungyan Yu;大橋 弘;Hiroshi Ohashi
通讯作者：
Hiroshi Ohashi