1 thought on “How to get the industrial enterprise database into panel data”

  1. The current status and potential issues of the Chinese Industrial Enterprise Database Nie Huihua River Boat Yang Ruyi Summary: In experience research, corporate micro -data is getting more and more attention. Chinese industrial enterprise database has become one of the main databases of scholars at home and abroad to study Chinese corporate behavior and performance. However, the database inventory in the sample matching chaos, abnormal variables, obvious measurement errors, and vague variable definitions, etc., ignoring these problems may cause research results errors. This article introduces the basic situation and use of the database, point out several defects of the database, and provide several improvement suggestions based on existing research. Keywords: Enterprise data industry enterprise micro -measurement manufacturing productivity Jel classification Number: C33 D24 L22 L60 I. Introduction data is the cell of experience research, so the quality of the data directly determines the vitality of experience research. In the past ten years, the international economics community has paid more and more attention to the use of micro-level data. Compared to macro data or industry data, the advantages of micro -enterprise data or individual data are very obvious: First, micro -panel data contains more information, such as the ownership, scale and export of enterprises. Studies are indispensable; second, micro -panel data also includes time dimensions and individual dimensions, which helps solve individual heterogeneous problems in metrological economics, and it is easier to ensure the consistency of estimates. Third, micro -panel panels The data increases the number of observation values, making it more efficient. For research fields such as industrial organization theory, corporate theory, corporate finance, international trade, income distribution, and labor supply, the data of experience research is mainly micro data. With the introduction of micro -measurement economics and the opening of micro -databases at home and abroad, Chinese economists have paid more and more attention to the development and use of micro -view data, and produced many research results based on micro data. Some Chinese databases are even used by scholars from all over the world. On the one hand, Chinese issues are increasingly valued by the international economics community. On the other hand, the quality of Chinese data has been increasingly recognized. In particular, quite a lot of scholars at home and abroad use the "Chinese InstRial Database" ①, which are widely published in the "American Economic Review" (such as Song et al., 2011), "Quarterly Journal of Economics" ( Such as Hsieh and Klenow, 2009) and "Economic Research" and other famous domestic and domestic academic journals. As a database collected by the National Bureau of Statistics of China, its advantages are large samples, many indicators, and long time. However, after all, it is not a database released by academic institutions, so it is not in many aspects of the strict requirements of academic research. Its defects include confusion in samples, abnormal indicators, abnormal indicators, obvious measurement errors, and vague variable definitions. Serious Problem. We believe that if the researchers do not notice these data defects and take effective methods to relieve or eliminate these defects, it will have a negative impact on the results of empirical research and even cause errors. For the results of the error, for theoretical research and empirical research, it not only wastes time and energy, but also may have misleading. In view of this, we believe that it is necessary to discuss the basic situation and use status of the Chinese industrial enterprise database in detail and rigorously, point out the problems of its existence, and provide advice to solve the problem as much as possible. We hope that the analysis of this article will not only help potential users to understand the current status of the database's research and future  Nie Huihua, the School of Economics of Renmin University of China, the National People's Congress Enterprise and Organization Research Center, Beijing 100872; Email: [email protected] Jiangboat, School of Economics of Renmin University of China, the Center for Enterprise and Organization of the People's Congress, [email protected]; Yang Ruyi, Consumer Research Institute of Xiangtan University, [email protected] The author thanked He Fan for the suggestions provided by writing this article, thanked Tu Shunjie for the research work, and at the same time thanked the two anonymous reviewers to provide useful suggestions. The study of this article has been hosted by Yao Yang's major project of the National Social Science Fund "Research on the Research on the Economic Health Growth and Structural Change Trends (09

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