A high-resolution multi-scale industrial water use database in China
收藏资源简介:
Provide data and code of the research. Data: Water usage.dta: This dataset provides the raw data used in this study, including plantcodes, years, provinces, four-digit sub-sector codes, MRIO sector codes, and other micro-level water usage data. This information is available for further analysis by scholars in related fields. Collapse.dta/Collapse.xlsx: Based on the raw data, this file aggregates micro-level plant water usage data by industry and province, and city. 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: The 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. Used to process MRIO tables and water resources satellite matrices for different years to output virtual water resources trade among 31 provinces in China. Variable_describe.R: Used to describe key variables statistical distribution in the industrial water use dataset in China. Map distribution. R: Used to map 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: Used to show an example of water usage in industrial sectors across the top five provinces by water use from 1998 to 2014.



