IDEAS home Printed from https://ideas.repec.org/a/spr/envpol/v7y2006i4p415-434.html
   My bibliography  Save this article

Coverage and reliability of Chinese statistics regarding sulfur dioxide emissions during the late 1990s

Author

Listed:
  • Ryo Fujikura
  • Shinji Kaneko
  • Hirofumi Nakayama
  • Naoya Sawazu

Abstract

According to official Chinese statistics, sulfur dioxide emissions dropped significantly in the late 1990s before rising again. Some researchers have expressed concern over data reliability, however, and the sample of enterprises represented by sulfur dioxide emission statistics generates only one third of China’s industrial output, which may result in undercounting of emissions. In addition, coal production and consumption during the late 1990s may have been undercounted due to politically motivated manipulation of numbers, and this phenomenon may also partly explain the reported reductions in sulfur dioxide emissions. Coal sulfur content derived from coal supply-side information is generally found to be higher than from demand-side information used to calculate emissions for official statistics. Meanwhile, no solid data are available that demonstrate improvement of the desulfurization of smokestack emissions. All of these are potential factors in the underestimation of China’s emissions. Copyright Springer Japan 2006

Suggested Citation

  • Ryo Fujikura & Shinji Kaneko & Hirofumi Nakayama & Naoya Sawazu, 2006. "Coverage and reliability of Chinese statistics regarding sulfur dioxide emissions during the late 1990s," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 7(4), pages 415-434, December.
  • Handle: RePEc:spr:envpol:v:7:y:2006:i:4:p:415-434
    DOI: 10.1007/BF03353949
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/BF03353949
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/BF03353949?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Wu, Libo & Kaneko, Shinji & Matsuoka, Shunji, 2005. "Driving forces behind the stagnancy of China's energy-related CO2 emissions from 1996 to 1999: the relative importance of structural change, intensity change and scale change," Energy Policy, Elsevier, vol. 33(3), pages 319-335, February.
    2. Rawski, Thomas G., 2001. "What is happening to China's GDP statistics?," China Economic Review, Elsevier, vol. 12(4), pages 347-354.
    3. Dapeng Hu & Masahisa Fujita, 2001. "Regional disparity in China 1985-1994: The effects of globalization and economic liberalization," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 35(1), pages 3-37.
    4. Taketoshi, Kazuki, 2001. "Environmental Pollution And Policies In China'S Township And Village Industrial Enterprises," Discussion Papers 18766, University of Bonn, Center for Development Research (ZEF).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xiaoqing Chen & Zaiwu Gong, 2017. "DEA Efficiency of Energy Consumption in China’s Manufacturing Sectors with Environmental Regulation Policy Constraints," Sustainability, MDPI, vol. 9(2), pages 1-19, February.
    2. Ning Zhang & Haisheng Li, 2024. "Bayesian Vector Autoregression Analysis of Chinese Coal-Fired Thermal Power Plants," Sustainability, MDPI, vol. 16(19), pages 1-16, September.
    3. Daniele Brombal, 2017. "Accuracy of Environmental Monitoring in China: Exploring the Influence of Institutional, Political and Ideological Factors," Sustainability, MDPI, vol. 9(3), pages 1-18, February.
    4. Kaneko, Shinji & Fujii, Hidemichi & Sawazu, Naoya & Fujikura, Ryo, 2010. "Financial allocation strategy for the regional pollution abatement cost of reducing sulfur dioxide emissions in the thermal power sector in China," Energy Policy, Elsevier, vol. 38(5), pages 2131-2141, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ryo Fujikura & Shinji Kaneko & Hirofumi Nakayama & Naoya Sawazu, 2006. "Coverage and reliability of Chinese statistics regarding sulfur dioxide emissions during the late 1990s," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 7(4), pages 415-434, December.
    2. Rui HAO & Zheng WEI, 2009. "Sources Of Income Differences Across Chinese Provinces During The Reform Period: A Development Accounting Exercise," The Developing Economies, Institute of Developing Economies, vol. 47(1), pages 1-29, March.
    3. Simon Alder & Lin Shao & Fabrizio Zilibotti, 2012. "The Effect of Economic Reform and Industrial Policy in a Panel of Chinese Cities," DEGIT Conference Papers c017_061, DEGIT, Dynamics, Economic Growth, and International Trade.
    4. Li, Chao & Gibson, John, 2013. "Rising Regional Inequality in China: Fact or Artifact?," World Development, Elsevier, vol. 47(C), pages 16-29.
    5. Xuemei Jiang & Erik Dietzenbacher & Bart Los, 2014. "A dissection of the growth of regional disparities in Chinese labor productivity between 1997 and 2002," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 52(2), pages 513-536, March.
    6. Sylvie Démurger & Jeffrey D. Sachs & Wing Thye Woo & Shuming Bao & Gene Chang & Andrew Mellinger, 2002. "Geography, Economic Policy, and Regional Development in China," Asian Economic Papers, MIT Press, vol. 1(1), pages 146-197.
    7. Christopher Candelaria & Mary C. Daly & Galina Hale, 2009. "Beyond Kuznets: persistent regional inequality in China," Working Paper Series 2009-07, Federal Reserve Bank of San Francisco.
    8. Li, Shaomin & Selover, David D. & Stein, Michael, 2011. ""Keep silent and make money": Institutional patterns of earnings management in China," Journal of Asian Economics, Elsevier, vol. 22(5), pages 369-382, October.
    9. Lu, Jiangyong & Tao, Zhigang, 2009. "Trends and determinants of China's industrial agglomeration," Journal of Urban Economics, Elsevier, vol. 65(2), pages 167-180, March.
    10. Zhang, ZhongXiang, 2013. "Energy and Environmental Issues and Policy in China," Climate Change and Sustainable Development 162375, Fondazione Eni Enrico Mattei (FEEM).
    11. Zhou, Xiaoyan & Zhang, Jie & Li, Junpeng, 2013. "Industrial structural transformation and carbon dioxide emissions in China," Energy Policy, Elsevier, vol. 57(C), pages 43-51.
    12. de Freitas, Luciano Charlita & Kaneko, Shinji, 2011. "Decomposition of CO2 emissions change from energy consumption in Brazil: Challenges and policy implications," Energy Policy, Elsevier, vol. 39(3), pages 1495-1504, March.
    13. Yuwan Duan & Erik Dietzenbacher & Bart Los & Ruochen Dai, 2023. "Regional inequality in China during its rise as a giant exporter: A value chain analysis," Journal of Regional Science, Wiley Blackwell, vol. 63(1), pages 148-172, January.
    14. Yang Zhang & Wenlong Li & Jiawen Sun & Haidong Zhao & Haiying Lin, 2023. "A Research Paradigm for Industrial Spatial Layout Optimization and High-Quality Development in The Context of Carbon Peaking," Sustainability, MDPI, vol. 15(4), pages 1-30, February.
    15. Ma, Ben & Zheng, Xinye, 2018. "Biased data revisions: Unintended consequences of China's energy-saving mandates," China Economic Review, Elsevier, vol. 48(C), pages 102-113.
    16. Samargandi, Nahla, 2017. "Sector value addition, technology and CO2 emissions in Saudi Arabia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 868-877.
    17. Zheng, Jiali & Mi, Zhifu & Coffman, D'Maris & Milcheva, Stanimira & Shan, Yuli & Guan, Dabo & Wang, Shouyang, 2019. "Regional development and carbon emissions in China," Energy Economics, Elsevier, vol. 81(C), pages 25-36.
    18. Ouyang, Xiaoling & Lin, Boqiang, 2015. "An analysis of the driving forces of energy-related carbon dioxide emissions in China’s industrial sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 838-849.
    19. Petar Sorić, 2020. "“Normal†growth of the Chinese economy: new metrics based on consumer confidence data," Economics Bulletin, AccessEcon, vol. 40(2), pages 1740-1746.
    20. Sinclair, Tara M., 2019. "Characteristics and implications of Chinese macroeconomic data revisions," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1108-1117.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:envpol:v:7:y:2006:i:4:p:415-434. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.