Qian Haoqi, Ren Feizhou, Gong Yanran, Ma Rong, Wei Wendong, Wu Libo
Institute for Global Public Policy and MOE Laboratory for National Development and Intelligent Governance, Fudan University, Shanghai, 200433, China.
LSE-Fudan Research Centre for Global Public Policy, Fudan University, Shanghai, 200433, China.
Sci Data. 2022 Jun 1;9(1):259. doi: 10.1038/s41597-022-01362-x.
There has been a rapid-growing trend in studying China's environmental problems in the past decade. However, the existing environmental statistics data are far from meeting researchers' requirements. The biggest problem is that the official environmental statistics data are only provided at either regional level or sectoral level. Considering the huge heterogeneities in different regions and sectors, researchers are unable to conduct comprehensive policy evaluations. In this study, we constructed the time-series industrial environmental database for China (CIED) at both regional and sectoral level. The database includes totally 31 regions and four types of pollutants: chemical oxygen demand (COD), sulphur dioxide (SO), ammonia-nitrogen (NH-N), and nitrogen oxide (NO). This study also clarifies several important concepts for researchers to better understand China's official environmental statistics data.
在过去十年中，对中国环境问题的研究呈现出快速增长的趋势。然而，现有的环境统计数据远远不能满足研究人员的需求。最大的问题是官方环境统计数据仅在区域层面或部门层面提供。考虑到不同地区和部门存在巨大的异质性，研究人员无法进行全面的政策评估。在本研究中，我们构建了中国区域和部门层面的时间序列工业环境数据库（CIED）。该数据库涵盖了总共31个地区以及四种污染物：化学需氧量（COD）、二氧化硫（SO）、氨氮（NH-N）和氮氧化物（NO）。本研究还为研究人员阐明了几个重要概念，以便更好地理解中国的官方环境统计数据。
