DOI: 10.57760/sciencedb.17261
title: The 2016-2022 data set of 25 Chinese clothing listed companies
title: 25家中国服装上市公司2016—2022年数据集

description: The selected sample enterprises are classified according to the National Economic Industry Classification. The first two companies with code 18 are selected, namely "Textile, Clothing and Apparel Industry". 25 clothing listed companies are selected, with a total of 100 sets of sample data over 4 years. There are a total of 15 indicators: R&D expenses/yuan X1; The proportion of R&D expenses to operating income/% X2; Number of R&D personnel/person X3; The proportion of R&D personnel to the total number of employees/% X4; Number of authorized patents per year/X5; Intangible asset ratio/% X6; YoY increase or decrease in total assets/% X7; YoY increase or decrease in operating revenue/% X8; Operating profit margin/% X9; Government subsidy/yuan X10; Per capita GDP of each province and city is X11 yuan; The ratio of import and export volume to GDP of each province and city/% X12; Science and technology expenditure per province and city/yuan X13; Net intangible assets of digital technology divided by total assets/% X14; The proportion of executives with an information technology background in the executive team is 15%. Patent data comes from the China Research Data Service Platform, regional development level, regional openness, and regional scientific research environment indicator data come from provincial and municipal government websites, enterprise digitalization level related data comes from the annual reports of listed clothing companies, and the remaining indicators come from the Guotai An database. For missing values in scientific and technological expenditures and net intangible assets of digital technology in various provinces and cities, linear interpolation method is used to supplement them. 
description: The selected sample enterprises are classified according to the National Economic Industry Classification. The first two companies with code 18 are selected, namely "Textile, Clothing and Apparel Industry". 25 clothing listed companies are selected, with a total of 100 sets of sample data over 4 years. There are a total of 15 indicators: R&D expenses/yuan X1; The proportion of R&D expenses to operating income/% X2; Number of R&D personnel/person X3; The proportion of R&D personnel to the total number of employees/% X4; Number of authorized patents per year/X5; Intangible asset ratio/% X6; YoY increase or decrease in total assets/% X7; YoY increase or decrease in operating revenue/% X8; Operating profit margin/% X9; Government subsidy/yuan X10; Per capita GDP of each province and city is X11 yuan; The ratio of import and export volume to GDP of each province and city/% X12; Science and technology expenditure per province and city/yuan X13; Net intangible assets of digital technology divided by total assets/% X14; The proportion of executives with an information technology background in the executive team is 15%. Patent data comes from the China Research Data Service Platform, regional development level, regional openness, and regional scientific research environment indicator data come from provincial and municipal government websites, enterprise digitalization level related data comes from the annual reports of listed clothing companies, and the remaining indicators come from the Guotai An database. For missing values in scientific and technological expenditures and net intangible assets of digital technology in various provinces and cities, linear interpolation method is used to supplement them.