英文标题：
《Growth, development, and structural change at the firm-level: The
  example of the PR China》
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作者：
Torsten Heinrich and Jangho Yang and Shuanping Dai
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最新提交年份：
2020
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英文摘要：
  Understanding the microeconomic details of technological catch-up processes offers great potential for informing both innovation economics and development policy. We study the economic transition of the PR China from an agrarian country to a high-tech economy as one example for such a case. It is clear from past literature that rapidly rising productivity levels played a crucial role. However, the distribution of labor productivity in Chinese firms has not been comprehensively investigated and it remains an open question if this can be used to guide economic development. We analyze labor productivity and the dynamic change of labor productivity in firm-level data for the years 1998-2013 from the Chinese Industrial Enterprise Database. We demonstrate that both variables are conveniently modeled as L\\\'evy alpha-stable distributions, provide parameter estimates and analyze dynamic changes to this distribution. We find that the productivity gains were not due to super-star firms, but due to a systematic shift of the entire distribution with otherwise mostly unchanged characteristics. We also found an emerging right-skew in the distribution of labor productivity change. While there are significant differences between the 31 provinces and autonomous regions of the P.R. China, we also show that there are systematic relations between micro-level and province-level variables. We conclude with some implications of these findings for development policy.
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中文摘要：
了解技术追赶过程的微观经济细节为创新经济学和发展政策提供了巨大的潜力。我们以中国从农业国向高科技经济体的经济转型为例进行研究。从过去的文献中可以清楚地看到，生产率水平的迅速提高起到了关键作用。然而，中国企业的劳动生产率分布尚未得到全面调查，这是否可以用来指导经济发展仍然是一个悬而未决的问题。我们从中国工业企业数据库中分析了1998-2013年企业层面的劳动生产率和劳动生产率的动态变化。我们证明，这两个变量都可以方便地建模为LSevyα稳定分布，提供参数估计并分析该分布的动态变化。我们发现，生产率的提高并不是由于超级明星公司，而是由于整个分布的系统性变化，而其他方面基本不变。我们还发现劳动生产率变化的分布正在出现右倾。虽然中国31个省和自治区之间存在显著差异，但我们也表明微观层面和省级变量之间存在系统性关系。最后，我们总结了这些发现对发展政策的一些启示。
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分类信息：

一级分类：Economics        经济学
二级分类：General Economics        一般经济学
分类描述：General methodological, applied, and empirical contributions to economics.
对经济学的一般方法、应用和经验贡献。
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一级分类：Quantitative Finance        数量金融学
二级分类：Economics        经济学
分类描述：q-fin.EC is an alias for econ.GN. Economics, including micro and macro economics, international economics, theory of the firm, labor economics, and other economic topics outside finance
q-fin.ec是econ.gn的别名。经济学，包括微观和宏观经济学、国际经济学、企业理论、劳动经济学和其他金融以外的经济专题
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一级分类：Statistics        统计学
二级分类：Other Statistics        其他统计数字
分类描述：Work in statistics that does not fit into the other stat classifications
从事不适合其他统计分类的统计工作
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