IDEAS home Printed from https://ideas.repec.org/a/taf/ecsysr/v26y2014i4p431-443.html
   My bibliography  Save this article

The Power Of Visible Hands: An Environmental Structural Decomposition Analysis Considering The People'S Daily Effect

Author

Listed:
  • Chen Lin
  • Jing Li
  • Dezhi Li

Abstract

As an organ of the Central Committee of the Communist Party of China, the People's Daily (PD) has a critical influence on China's policies and economy. This study examines the impact of the PD on China's economic structural changes and industry environmental performance. To separate the 'PD effect' from other effects in total sectoral CO 2 emission changes, we propose a new variation of structural decomposition analysis using the frequencies of keywords employed in the PD. We use data from the PD for 2001 to 2011 and the Chinese input-output tables for 2002, 2005, 2007, and 2010. The results show that, on average, the PD effect explains about 11% of changes in total sectoral CO 2 emissions. Specifically, the PD has a relatively strong impact on the mining and utility sectors, while its impact on the manufacturing sectors is relatively weak.

Suggested Citation

  • Chen Lin & Jing Li & Dezhi Li, 2014. "The Power Of Visible Hands: An Environmental Structural Decomposition Analysis Considering The People'S Daily Effect," Economic Systems Research, Taylor & Francis Journals, vol. 26(4), pages 431-443, December.
    • Handle: RePEc:taf:ecsysr:v:26:y:2014:i:4:p:431-443
    DOI: 10.1080/09535314.2014.939612
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/09535314.2014.939612
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/09535314.2014.939612?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. Canova, Fabio & Gambetti, Luca, 2009. "Structural changes in the US economy: Is there a role for monetary policy?," Journal of Economic Dynamics and Control, Elsevier, vol. 33(2), pages 477-490, February.
    2. Timothy Besley & Andrea Prat, 2006. "Handcuffs for the Grabbing Hand? Media Capture and Government Accountability," American Economic Review, American Economic Association, vol. 96(3), pages 720-736, June.
    3. Zhou, Wenji & Zhu, Bing & Fuss, Sabine & Szolgayová, Jana & Obersteiner, Michael & Fei, Weiyang, 2010. "Uncertainty modeling of CCS investment strategy in China's power sector," Applied Energy, Elsevier, vol. 87(7), pages 2392-2400, July.
    4. Lenzen, Manfred, 2006. "Decomposition analysis and the mean-rate-of-change index," Applied Energy, Elsevier, vol. 83(3), pages 185-198, March.
    5. Ang, B. W., 2004. "Decomposition analysis for policymaking in energy:: which is the preferred method?," Energy Policy, Elsevier, vol. 32(9), pages 1131-1139, June.
    6. Erik Dietzenbacher & Bart Los, 1998. "Structural Decomposition Techniques: Sense and Sensitivity," Economic Systems Research, Taylor & Francis Journals, vol. 10(4), pages 307-324.
    7. Chun-Fang Chiang & Brian Knight, 2011. "Media Bias and Influence: Evidence from Newspaper Endorsements," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 78(3), pages 795-820.
    8. Mark De Haan, 2001. "A Structural Decomposition Analysis of Pollution in the Netherlands," Economic Systems Research, Taylor & Francis Journals, vol. 13(2), pages 181-196.
    9. Harris, Richard D. F. & Tzavalis, Elias, 1999. "Inference for unit roots in dynamic panels where the time dimension is fixed," Journal of Econometrics, Elsevier, vol. 91(2), pages 201-226, August.
    10. Wood, Richard & Lenzen, Manfred, 2006. "Zero-value problems of the logarithmic mean divisia index decomposition method," Energy Policy, Elsevier, vol. 34(12), pages 1326-1331, August.
    11. Plummer, Michael G., 2003. "Structural change in a globalized Asia: macro trends and US policy challenges," Journal of Asian Economics, Elsevier, vol. 14(2), pages 243-281, April.
    Full references (including those not matched with items on IDEAS)

    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. Wood, Richard & Lenzen, Manfred, 2009. "Structural path decomposition," Energy Economics, Elsevier, vol. 31(3), pages 335-341, May.
    2. Banie Naser Outchiri, 2020. "Contributing to better energy and environmental analyses: how accurate are decomposition analysis results?," Cahiers de recherche 20-11, Departement d'économique de l'École de gestion à l'Université de Sherbrooke.
    3. Arunima Malik & Jun Lan, 2016. "The role of outsourcing in driving global carbon emissions," Economic Systems Research, Taylor & Francis Journals, vol. 28(2), pages 168-182, June.
    4. Lan, Jun & Malik, Arunima & Lenzen, Manfred & McBain, Darian & Kanemoto, Keiichiro, 2016. "A structural decomposition analysis of global energy footprints," Applied Energy, Elsevier, vol. 163(C), pages 436-451.
    5. Su, Bin & Ang, B.W., 2012. "Structural decomposition analysis applied to energy and emissions: Some methodological developments," Energy Economics, Elsevier, vol. 34(1), pages 177-188.
    6. Nagashima, Fumiya, 2018. "The sign reversal problem in structural decomposition analysis," Energy Economics, Elsevier, vol. 72(C), pages 307-312.
    7. Radwan, Amira & Hongyun, Han & Achraf, Abdelhak & Mustafa, Ahmed M., 2022. "Energy use and energy-related carbon dioxide emissions drivers in Egypt's economy: Focus on the agricultural sector with a structural decomposition analysis," Energy, Elsevier, vol. 258(C).
    8. Tian, Kailan & Dietzenbacher, Erik & Yan, Bingqian & Duan, Yuwan, 2020. "Upgrading or downgrading: China's regional carbon emission intensity evolution and its determinants," Energy Economics, Elsevier, vol. 91(C).
    9. Su, Bin & Ang, B.W., 2014. "Attribution of changes in the generalized Fisher index with application to embodied emission studies," Energy, Elsevier, vol. 69(C), pages 778-786.
    10. Vaninsky, Alexander, 2014. "Factorial decomposition of CO2 emissions: A generalized Divisia index approach," Energy Economics, Elsevier, vol. 45(C), pages 389-400.
    11. Hong, Jingke & Li, Clyde Zhengdao & Shen, Qiping & Xue, Fan & Sun, Bingxia & Zheng, Wei, 2017. "An Overview of the driving forces behind energy demand in China's construction industry: Evidence from 1990 to 2012," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 85-94.
    12. Wang, H. & Ang, B.W. & Su, Bin, 2017. "Multiplicative structural decomposition analysis of energy and emission intensities: Some methodological issues," Energy, Elsevier, vol. 123(C), pages 47-63.
    13. Boratyński, Jakub, 2021. "Decomposing structural decomposition: The role of changes in individual industry shares," Energy Economics, Elsevier, vol. 103(C).
    14. Malla, Sunil, 2009. "CO2 emissions from electricity generation in seven Asia-Pacific and North American countries: A decomposition analysis," Energy Policy, Elsevier, vol. 37(1), pages 1-9, January.
    15. Lenzen, Manfred, 2006. "Decomposition analysis and the mean-rate-of-change index," Applied Energy, Elsevier, vol. 83(3), pages 185-198, March.
    16. Uduak Akpan & Ovunda Green & Subhes Bhattacharyya & Salisu Isihak, 2015. "Effect of Technology Change on $$\hbox {CO}_{2}$$ CO 2 Emissions in Japan’s Industrial Sectors in the Period 1995–2005: An Input–Output Structural Decomposition Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 61(2), pages 165-189, June.
    17. Nishijima, Daisuke, 2017. "The role of technology, product lifetime, and energy efficiency in climate mitigation: A case study of air conditioners in Japan," Energy Policy, Elsevier, vol. 104(C), pages 340-347.
    18. Shigemi Kagawa & Yuriko Goto & Sangwon Suh & Keisuke Nansai & Yuki Kudoh, 2012. "Accounting for Changes in Automobile Gasoline Consumption in Japan: 2000–2007," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 1(1), pages 1-27, December.
    19. Bernhardt, Lea & Dewenter, Ralf & Thomas, Tobias, 2020. "Measuring partisan media bias in US Newscasts from 2001-2012," Working Paper 183/2020, Helmut Schmidt University, Hamburg, revised 15 Nov 2022.
    20. Erik Dietzenbacher & Jesper Stage, 2006. "Mixing oil and water? Using hybrid input-output tables in a Structural decomposition analysis," Economic Systems Research, Taylor & Francis Journals, vol. 18(1), pages 85-95.

    More about this item

    Statistics

    Access and download statistics

    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:taf:ecsysr:v:26:y:2014:i:4:p:431-443. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/CESR20 .

    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.