Published September 2024
| Version v2
Dataset
Open
A high-resolution multi-scale industrial water use dataset in China
Authors/Creators
Description
Provide data and code of the research.
Data:
- Water usage.dta: This dataset provides the fully processed data used in this study, including key variables such as year, total output, province, city, and county locations, 2-digit, 3-digit and 4-digit industrial sub-sector information, MRIO sector codes, and detailed micro-level information on water usage, recycling, and pollution. This comprehensive dataset is designed to facilitate further analysis by researchers, offering a rich foundation for studies on industrial water management and environmental impact.
- Collapse.dta/Collapse.xlsx: Based on the fully processed data, this file aggregates micro-level plant water usage data by province, city, county, as well as industry. It aims to showcase water usage patterns across different industries and regions in China.
- Macro Data.xlsx: This file contains macro-level water usage data obtained from the National Bureau of Statistics of China, allowing for verification and comparison with micro-level results.
- Water Satellite Accounts.xlsx: This file contains data from 42 water usage satellite accounts in the MRIO tables from 1998 to 2014.
- MRIO Tables.xlsx: This file includes the results of bilateral trade data between the 31 provinces in China from 1998 to 2014.
Code:
- Water usage processing.do: Construction of the high-resolution industrial water use dataset in China, including all data cleaning, data merging, and data calculation processes.
- MRIO_Water.py: Construction of WE-MRIO model for 1998-2014. Processing MRIO tables and water resources satellite matrices for different years to produce virtual water resources trade among 31 provinces in China.
- Variable_describe.R: Describing the statistical distribution of key variables in the dataset.
- Map distribution. R: Mapping the distribution of each key variable and the corresponding plant in China's industrial water use dataset at multiple scales such as province, city, and county from 1998-2014.
- Province_sector. R: Mapping water usage in industrial sectors across the top five provinces by water use from 1998 to 2014.