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China Hebei province energy enterprises dataset
M A Dongliang1,2, Yang Hui3
1School of Information and Artificial Intelligence, Hebei Finance University, Baoding 071051, China.
Data in Brief
|July 23, 2025
Summary
This study details a dataset of 9180 energy firms in Hebei, China, covering 1958-2019. The data aids research in energy economics, spatial analysis, and machine learning.
Area of Science:
- Energy Economics
- Spatial Data Science
- Business Analytics
Background:
- Limited availability of real-world business registration data for research.
- Need for comprehensive datasets in the energy sector for economic and spatial analysis.
- Importance of data for machine learning and data mining applications in energy studies.
Purpose of the Study:
- To present a distributional summary dataset of energy enterprise firms in Hebei Province, China.
- To provide a valuable resource for research and education in new energy economic analysis, spatial geographic characterization, and data mining.
- To facilitate studies on the characteristics and distribution of energy businesses.
Main Methods:
- Data compilation from business registrations in Hebei Province, China.
- Inclusion of six characteristic variables: county region, industry classification, registered capital, enterprise type, enterprise status, and establishment time.
- Anonymization of sensitive data, removing company names and legal representatives.
Main Results:
- A dataset of nearly 9180 energy business firms established between January 1, 1958, and August 8, 2019.
- Detailed distributional information across various regional boundaries within Hebei Province.
- Characterization of firms based on key business registration attributes.
Conclusions:
- The dataset serves as a crucial resource for academic research and educational purposes.
- Enables advanced analysis in new energy economics, spatial patterns, and data-driven insights.
- Addresses the scarcity of real business data, promoting further scientific inquiry.
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