This comprehensive collection of robot data 1.0 includes the following data:
1. IFR Robot Data
2. Original and Calculated Robot Installation Density
3. Industrial Robot Penetration of Listed Companies
4. Patent Data of Robots from Listed Companies
Data Sources
1. IFR Robot Data: The industrial robot data used comes from the International Federation of Robotics (IFR). This organization conducts annual surveys of global robot manufacturers and compiles global robot statistics at the “country-industry-year” level based on first-hand data provided by manufacturers. Therefore, this data is considered the most authoritative robot statistical data globally.
2. Original and Calculated Robot Installation Density: The calculation method refers to the methods of Kang Xi (2021) and Lu Tingting (2021). It first calculates the installation quantity of industrial robots in various industries in China based on the data published by the IFR (which covers 14 major categories corresponding to the detailed industry codes in the National Economic Industry Classification and Code (GB/4754-2011) from 13 to 43). Then, it collects the percentage of employment in each province of the detailed industry from the China Labor Statistical Yearbook, which is the number of employed people in that province as a percentage of the total employment in the country, and multiplies this percentage by the national installation quantity of robots in various industries.
3. Industrial Robot Penetration of Listed Companies: Based on the calculation methods of Wang Yongqin et al. (2020), this is divided into three steps: first, calculating the industrial robot penetration index at the industry level; second, constructing the industrial robot penetration index at the enterprise level; and finally, using the industrial robot data at the industry level in the United States to establish an instrumental variable for the robot penetration at the enterprise level in China. This data provides important support for understanding the development trends of listed companies in the application of industrial robots, aiding in industrial analysis, investment decisions, and scientific research. Related results have been published in top journals such as “Economic Research” and “World Economy.”
4. Patent Data of Robots from Listed Companies: Patent data comes from the National Intellectual Property Administration, classified by identifying patent names and types, and then matched with listed companies.
Time Span
1. IFR Robot Data (1993-2019)
2. Original and Calculated Robot Installation Density (2006-2019)
3. Industrial Robot Penetration of Listed Companies (2007-2022)
4. Patent Data of Robots from Listed Companies (2005-2022)
Data Scope
Countries worldwide, provinces and cities in the continent, and A-share listed companies
Data Indicators
References
[1] Wang Yongqin, Dong Wen. How Does the Rise of Robots Affect the Chinese Labor Market? – Evidence from Manufacturing Listed Companies [J]. Economic Research, 2020, 55(10): 159-175.
[2] Wang Yongqin, Dong Wen. Between Humans and Machines: The Impact of the Rise of Robots on the Income of Chinese Workers [J]. World Economy, 2023, 46(07): 88-115.
[3] Huang Qunhui, He Jun. Core Competencies, Functional Positioning, and Development Strategies of China’s Manufacturing Industry – A Review of “Made in China 2025” [J]. China Industrial Economy, 2015(06): 5-17.
[4] Wang Lihui, Hu Shengming, Dong Zhiqing. Will Artificial Intelligence Technology Induce Labor Income Inequality? – Model Simulation and Classification Assessment [J]. China Industrial Economy, 2020(04): 97-115.
[5] Liu Bin, Pan Tong. Research on the Impact of Artificial Intelligence on the Division of Labor in the Manufacturing Value Chain [J]. Quantitative Economics and Technical Economics Research, 2020, 37(10): 24-44.