中国河北省能源企业数据集

IF 1 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief Pub Date : 2025-07-03 DOI:10.1016/j.dib.2025.111851

MA Dongliang , Yang Hui

{"title":"中国河北省能源企业数据集","authors":"MA Dongliang , Yang Hui","doi":"10.1016/j.dib.2025.111851","DOIUrl":null,"url":null,"abstract":"<div><div>This article presents a distributional summary dataset of energy enterprise firms. Nearly 9180 energy business firms distributed within various regional boundaries in Hebei Province of China are described. It includes information on energy companies established from January 1, 1958 to August 8, 2019. Specifically, it includes six types of characteristic variables such as the county region where they are located, industry classification, registered capital, enterprise type, enterprise status, and establishment time. Since this is a real dataset of business registrations, all data elements related to the real company name and legal representative of the business are removed. Due to the scarcity of real business data for scientific and educational purposes, these datasets play an important role in research and education in new energy economic analysis, spatial geographic characterization, machine learning or data mining.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"61 ","pages":"Article 111851"},"PeriodicalIF":1.0000,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"China Hebei province energy enterprises dataset\",\"authors\":\"MA Dongliang , Yang Hui\",\"doi\":\"10.1016/j.dib.2025.111851\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This article presents a distributional summary dataset of energy enterprise firms. Nearly 9180 energy business firms distributed within various regional boundaries in Hebei Province of China are described. It includes information on energy companies established from January 1, 1958 to August 8, 2019. Specifically, it includes six types of characteristic variables such as the county region where they are located, industry classification, registered capital, enterprise type, enterprise status, and establishment time. Since this is a real dataset of business registrations, all data elements related to the real company name and legal representative of the business are removed. Due to the scarcity of real business data for scientific and educational purposes, these datasets play an important role in research and education in new energy economic analysis, spatial geographic characterization, machine learning or data mining.</div></div>\",\"PeriodicalId\":10973,\"journal\":{\"name\":\"Data in Brief\",\"volume\":\"61 \",\"pages\":\"Article 111851\"},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2025-07-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Data in Brief\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2352340925005736\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Data in Brief","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352340925005736","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}

引用次数: 0

摘要

本文提出了一个分布式的能源企业汇总数据集。本文描述了中国河北省分布在不同区域边界内的近9180家能源企业。它包括1958年1月1日至2019年8月8日成立的能源公司的信息。具体包括企业所在县域、行业分类、注册资本、企业类型、企业地位、成立时间等六类特征变量。由于这是一个真实的商业注册数据集，因此删除了与真实公司名称和企业法定代表人相关的所有数据元素。由于缺乏用于科学和教育目的的真实商业数据，这些数据集在新能源经济分析、空间地理特征、机器学习或数据挖掘的研究和教育中发挥着重要作用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

China Hebei province energy enterprises dataset

This article presents a distributional summary dataset of energy enterprise firms. Nearly 9180 energy business firms distributed within various regional boundaries in Hebei Province of China are described. It includes information on energy companies established from January 1, 1958 to August 8, 2019. Specifically, it includes six types of characteristic variables such as the county region where they are located, industry classification, registered capital, enterprise type, enterprise status, and establishment time. Since this is a real dataset of business registrations, all data elements related to the real company name and legal representative of the business are removed. Due to the scarcity of real business data for scientific and educational purposes, these datasets play an important role in research and education in new energy economic analysis, spatial geographic characterization, machine learning or data mining.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Data in Brief MULTIDISCIPLINARY SCIENCES-

CiteScore

3.10

自引率

0.00%

发文量

996

审稿时长

70 days

期刊介绍： Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.