WHAT IS CEEIO?

Chinese Environmentally Extended Input-Output (CEEIO) database

CEEIO is the result of near decade-long research of using environmentally extended input-output models studying China's environmental issues led by Prof. Ming Xu at the University of Michigan in collaboration with Prof. Sai Liang at Guangdong University of Technology and Prof. Xi Tian at Nanchang University.

CEEIO consists of benchmark economic input-output tables published by the Chinese government statistics agency and environmental satellite accounts compiled from multiple sources. Technical details such as data sources, compilation methods, and assumptions are available as Technical Notes included in the downloadable files.

The development of CEEIO was partially supported by the Kenneth G. Lieberthal and Richard H. Rogel Center for Chinese Studies at the University of Michigan.

Please cite CEEIO:


    • Open Access

    CEEIO is free for non-commercial uses


    Coverage

    Environmental satellite accounts have 256 types of resources and 31 types of pollutants


    Transparency

    CEEIO comes with detailed documentation on data sources, compilation methods, assumptions, etc.


    Flexibility

    CEEIO offers multiple sector classifications with two currencies ($ and ¥)

    NEWS

    [Jan. 2022] Version 3.2 is available with corrections for minor errors for the 2007 45-sector table in USD (corrections highlighed in color).

    [Nov. 2021] Version 3.1 is available now with important updates on agricultural GHG emissions. We thank Prof. Yi Yang at Chongqing University and Prof. Zhenling Cui at China Agricultural University for their guidance.

    [Oct. 2021] Version 3.0 is available now with CEEIO 2017 and 2018.

    [Dec. 2018] Version 2.0 is available now. Major updates and corrections have been made.

    [Apr. 2018] Version 1.2 is available now. Data for 2012 is included.

    [Nov. 2017] CEEIO collaborate with the Chinese Academy for Environmental Planning to develop the China High Resolution Emission Database (CHRED). Details about CHRED and how to access can be found on this page and by visiting http://www.cityghg.com

    [Apr. 2016] CEEIO paper has been accepted by Journal of Industrial Ecology. Please cite:

    Liang, S.; Feng, T.-T.; Qu, S.; Chiu, A. S. F.; Jia, X.-P.; Xu, M. Developing the Chinese Environmentally Extended Input-Output (CEEIO) Database. Journal of Industrial Ecology 2016, 21 (4), 953-965.

    [Feb. 22, 2016] MATLAB codes for input-output analysis are available for download!

    [Dec. 23, 2015] New CEEIO website is online!

    [Nov. 30, 2015] Version 1.1 is available now.

    • "Construction wastes" is removed.
      • Construction waste contains wastes from both construction and demolition processes. The part of construction waste from construction process should be recorded under ‘construction’ sector, while the part of construction waste from demolition processes should be recorded under ‘Fixed capital formation’ as the consequence of the inverse of ‘capital accumulation’. However, there is no data available to distinguish the amount of construction process from that of the demolition process. Thus, we deleted construction waste from this version.
    • Data reliability is added with color coding
      • Cells highlighted in yellow mean that data for those indicators are unavailable from China's statistics. We set them as zeroes in current EEIO database.
      • Cells highlighted in red mean that data are estimated based on monetary output of this year and intensity factor of other years. Those data may be less reliable.
      • Cells not highlighted in colors mean that data are from government statistics or peer-reviewed estimation methods. Those data are reliable.

    [Apr. 06, 2015] Version 1.0 is available now.

    CEEIO LICENSE AGREEMENT

    The CEEIO database is free for non-commercial uses with appropriate citations (http://www.ceeio.com) or co-authorship. Commercial uses of the CEEIO database (including any derivative work or website) may not be allowed without permission. All commercial uses require a data license and must prominently give the CEEIO citation.

    For any questions regarding the CEEIO database, including data license for commercial uses, please contact us.

    China High Resolution Emission Database (CHRED)





    CHRED is a high-resolution, gridded emission database for China. CHRED offers two spatial resolutions: 10km x 10km and 1km x 1km. It currently covers CO2, SO2, NOx, and particulate matter (PM) emissions. The gridded emission data were derived from detailed, facility-level survey data. For more information, please refer to the following paper:

    Cai, B.-F.; Liang, S.; Zhou, J.; Wang, J.-N.; Cao, L.-B.; Qu, S.; Xu, M.; Yang, Z.-F., China High Resolution Emission Database (CHRED) with point emission sources, gridded emission data, and supplementary socioeconomic data. Resources, Conservation & Recycling 2018, in press

    You can gain access to CHRED by visiting http://www.cityghg.com/.

    DOWNLOAD CEEIO

    Please fill out the following form to download CEEIO data. By downloading the following files, you are accepting and agreeing to the license agreement.

    By clicking submit, you agree to the CEEIO Licence Agreement

    DOWNLOAD MATLAB code

    RELEVANT PUBLICATIONS

    Publications related to CEEIO development and applications.

    Paper
    VIEW PAPER

    How much will China weigh?

    Paper
    VIEW PAPER

    Decoupling of environmental pressure in China

    Paper
    VIEW PAPER

    Unintended consequences and co-benefits of economic restructuring

    Presentation
    VIEW PRESENTATION

    CEEIO development

    Presentation at the 2015 ISIE conference

    CONTACT US

    We love to hear from you for questions, comments, suggestions, and more. Follow us for more news.

    Mailing Address

    Ming Xu
    School for Environment and Sustainability
    Department of Civil and Environmental Engineering
    University of Michigan
    440 Church St., Ann Arbor
    MI 48109-1041, USA

    Tel

    +1 (734) 763-8644

    Email

    mingxu at umich dot edu

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