Challenges of Working with the Chinese NBS Firm-Level Data

L. Brandt, Johannes Van Biesebroeck, Yifan Zhang
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引用次数: 242

Abstract

Abstract Over the reform period, industry has been the source of 40% of GDP, and has contributed 90% of China's exports. Annual firm-level surveys that begin in 1992, complemented with industry-wide census in 1995, 2004 and 2008, are rich sources of data on firm behavior. It is well-known that working with Chinese data requires overcoming difficult measurement issues. Macroeconomic series, for example, are often suspected of suffering from reporting bias and political interference. Working with the firm-level data has its own challenges. In this paper, we provide an introduction to these data sets. We discuss and illustrate several of the issues that make comparability over time difficult and suggest solutions. The importance of a particular measurement issue often depends on the exact application. We illustrate this point by tracing the evolution of the relative productivity level of entrants and incumbents over time, distinguishing between changes in actual performance and changes driven by measurement problems. We conclude by identifying a few promising areas of future research and margins on which collaboration among users to improve these data might be beneficial.
处理中国国家统计局企业层面数据的挑战
改革开放以来,工业对GDP的贡献率达到40%,对出口的贡献率达到90%。1992年开始的年度企业调查,加上1995年、2004年和2008年的行业普查,是企业行为的丰富数据来源。众所周知,处理中国数据需要克服困难的测量问题。例如,宏观经济系列经常被怀疑受到报道偏见和政治干预的影响。处理公司层面的数据有其自身的挑战。在本文中,我们对这些数据集进行了介绍。我们讨论和说明了几个问题,使可比性随着时间的推移变得困难,并提出解决方案。特定测量问题的重要性通常取决于确切的应用。我们通过追踪进入者和在位者的相对生产力水平随时间的演变来说明这一点,区分实际绩效的变化和由测量问题驱动的变化。最后,我们确定了未来研究的几个有希望的领域,以及用户之间合作改进这些数据可能有益的边际。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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