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Updated: Sep 21, 2025

Generation of Dynamical Environmental Conditions using a High-Throughput Microfluidic Device

Generation of Dynamical Environmental Conditions using a High-Throughput Microfluidic Device

Published on: April 17, 2021

China industrial environmental database 1998-2015.

Haoqi Qian^1,2, Feizhou Ren^3,4, Yanran Gong⁵

¹Institute for Global Public Policy and MOE Laboratory for National Development and Intelligent Governance, Fudan University, Shanghai, 200433, China. qianhaoqi@fudan.edu.cn.

Scientific Data

|June 1, 2022

Summary

Researchers developed the China Industrial Environmental Database (CIED) to address limitations in official environmental statistics. This new dataset offers detailed regional and sectoral data on key pollutants, enabling better policy analysis.

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Area of Science:

Environmental Science
Environmental Economics
Data Science

Background:

Growing research interest in China's environmental issues over the last decade.
Existing official environmental statistics are insufficient for detailed analysis due to regional and sectoral aggregation.
Heterogeneity within regions and sectors limits comprehensive policy evaluations.

Purpose of the Study:

To construct a time-series industrial environmental database for China (CIED).
To provide data at both regional and sectoral levels for improved environmental research.
To clarify concepts related to China's official environmental statistics.

Main Methods:

Development of the China Industrial Environmental Database (CIED).
Inclusion of data for 31 regions in China.
Inclusion of four major pollutant types: chemical oxygen demand (COD), sulfur dioxide (SO2), ammonia-nitrogen (NH3-N), and nitrogen oxide (NOx).

Main Results:

Creation of a comprehensive time-series industrial environmental database for China.
The CIED provides data at a granular regional and sectoral level.
Enhanced understanding of China's official environmental statistics is facilitated.

Conclusions:

The CIED addresses critical data gaps for environmental research in China.
The database supports more nuanced policy evaluations by accounting for regional and sectoral variations.
Improved data accessibility and clarity are crucial for advancing environmental studies in China.