IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i18p11343-d910886.html
   My bibliography  Save this article

Carbon Footprint Research Based on Input–Output Model—A Global Scientometric Visualization Analysis

Author

Listed:
  • Jingwei Han

    (School of Economics and Business Administration, Chongqing University, Chongqing 400044, China)

  • Zhixiong Tan

    (School of Public Policy and Administration, Chongqing University, Chongqing 400044, China)

  • Maozhi Chen

    (School of Economics and Business Administration, Chongqing University of Education, Chongqing 400067, China)

  • Liang Zhao

    (Institute of Scientific Research and Development, Chongqing University, Chongqing 400044, China)

  • Ling Yang

    (School of Public Policy and Administration, Chongqing University, Chongqing 400044, China)

  • Siying Chen

    (School of Economics and Business Administration, Chongqing University, Chongqing 400044, China)

Abstract

Reducing the effect of mankind’s activities on the climate and improving adaptability to global warming have become urgent matters. The carbon footprint (CF), derived from the concept of ecological footprint, has been used to assess the threat of climate change in recent years. As a “top to bottom” method, input–output analysis (IOA) has become a universally applicable CF assessment tool for tracing the carbon footprint embodied in economic activities. A wide range of CF studies from the perspective of the IOA model have been presented and have made great progress. It is crucial to have a better understanding of what the relevant research focuses on in this field, yet so far a systematic synopsis of the literature is missing. The purpose of this paper is to explore the knowledge structure and frontier trends in respect of the IOA model applied to CF research using scientometric visualization analysis. The main findings of this paper are as follows. (1) Published articles show a two-stage increase in the period 2008 to 2021, and present a complex academic network of countries, authors, and institutions in this important domain. (2) The classic studies are mainly divided into three categories: literature reviews, database application introduction, and CF accounting in different scales. (3) The research hotspots and trends show that the research scales tend to be more microscopic and applications of models tend to be more detailed. In addition, supply-chain analysis and driver-factor analysis will probably become the main research directions in the future.

Suggested Citation

  • Jingwei Han & Zhixiong Tan & Maozhi Chen & Liang Zhao & Ling Yang & Siying Chen, 2022. "Carbon Footprint Research Based on Input–Output Model—A Global Scientometric Visualization Analysis," IJERPH, MDPI, vol. 19(18), pages 1-23, September.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:18:p:11343-:d:910886
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/18/11343/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/18/11343/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chaomei Chen, 2006. "CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(3), pages 359-377, February.
    2. Zhifu Mi & Jiali Zheng & Jing Meng & Jiamin Ou & Klaus Hubacek & Zhu Liu & D’Maris Coffman & Nicholas Stern & Sai Liang & Yi-Ming Wei, 2020. "Economic development and converging household carbon footprints in China," Nature Sustainability, Nature, vol. 3(7), pages 529-537, July.
    3. Thomas Wiedmann & Richard Wood & Jan Minx & Manfred Lenzen & Dabo Guan & Rocky Harris, 2010. "A Carbon Footprint Time Series Of The Uk - Results From A Multi-Region Input-Output Model," Economic Systems Research, Taylor & Francis Journals, vol. 22(1), pages 19-42.
    4. Pottier, Antonin, 2022. "Expenditure elasticity and income elasticity of GHG emissions: A survey of literature on household carbon footprint," Ecological Economics, Elsevier, vol. 192(C).
    5. Konstantin Stadler & Richard Wood & Tatyana Bulavskaya & Carl†Johan Södersten & Moana Simas & Sarah Schmidt & Arkaitz Usubiaga & José Acosta†Fernández & Jeroen Kuenen & Martin Bruckner & Stefan, 2018. "EXIOBASE 3: Developing a Time Series of Detailed Environmentally Extended Multi†Regional Input†Output Tables," Journal of Industrial Ecology, Yale University, vol. 22(3), pages 502-515, June.
    6. Chaomei Chen, 2012. "Predictive effects of structural variation on citation counts," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(3), pages 431-449, March.
    7. Liu, Zhu & Feng, Kuishuang & Hubacek, Klaus & Liang, Sai & Anadon, Laura Diaz & Zhang, Chao & Guan, Dabo, 2015. "Four system boundaries for carbon accounts," Ecological Modelling, Elsevier, vol. 318(C), pages 118-125.
    8. Bernhard Steubing & Arjan de Koning & Stefano Merciai & Arnold Tukker, 2022. "How do carbon footprints from LCA and EEIOA databases compare? A comparison of ecoinvent and EXIOBASE," Journal of Industrial Ecology, Yale University, vol. 26(4), pages 1406-1422, August.
    9. Daniel Moran & Richard Wood, 2014. "Convergence Between The Eora, Wiod, Exiobase, And Openeu'S Consumption-Based Carbon Accounts," Economic Systems Research, Taylor & Francis Journals, vol. 26(3), pages 245-261, September.
    10. Chaomei Chen & Loet Leydesdorff, 2014. "Patterns of connections and movements in dual-map overlays: A new method of publication portfolio analysis," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(2), pages 334-351, February.
    11. Peters, Glen P., 2008. "From production-based to consumption-based national emission inventories," Ecological Economics, Elsevier, vol. 65(1), pages 13-23, March.
    12. Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
    13. Kucukvar, Murat & Haider, Muhammad Ali & Onat, Nuri Cihat, 2017. "Exploring the material footprints of national electricity production scenarios until 2050: The case for Turkey and UK," Resources, Conservation & Recycling, Elsevier, vol. 125(C), pages 251-263.
    14. Ali, Yousaf & Pretaroli, Rosita & Socci, Claudio & Severini, Francesca, 2018. "Carbon and water footprint accounts of Italy: A Multi-Region Input-Output approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 1813-1824.
    15. Onat, Nuri Cihat & Kucukvar, Murat, 2020. "Carbon footprint of construction industry: A global review and supply chain analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 124(C).
    16. Chaomei Chen, 2012. "Predictive effects of structural variation on citation counts," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(3), pages 431-449, March.
    17. Glen Peters & Robbie Andrew & James Lennox, 2011. "Constructing An Environmentally-Extended Multi-Regional Input-Output Table Using The Gtap Database," Economic Systems Research, Taylor & Francis Journals, vol. 23(2), pages 131-152.
    18. Daniel Moran & Richard Wood & Edgar Hertwich & Kim Mattson & Joao F. D. Rodriguez & Karin Schanes & John Barrett, 2020. "Quantifying the potential for consumer-oriented policy to reduce European and foreign carbon emissions," Climate Policy, Taylor & Francis Journals, vol. 20(S1), pages 28-38, April.
    19. Manfred Lenzen & Daniel Moran & Keiichiro Kanemoto & Arne Geschke, 2013. "Building Eora: A Global Multi-Region Input-Output Database At High Country And Sector Resolution," Economic Systems Research, Taylor & Francis Journals, vol. 25(1), pages 20-49, March.
    20. Duomin Wang & Yubin Huangfu & Zuoji Dong & Yiqi Dong, 2022. "Research Hotspots and Evolution Trends of Carbon Neutrality—Visual Analysis of Bibliometrics Based on CiteSpace," Sustainability, MDPI, vol. 14(3), pages 1-27, January.
    21. Sun, Ya-Yen & Cadarso, Maria Angeles & Driml, Sally, 2020. "Tourism carbon footprint inventories: A review of the environmentally extended input-output approach," Annals of Tourism Research, Elsevier, vol. 82(C).
    22. Thomas O. Wiedmann & Guangwu Chen & John Barrett, 2016. "The Concept of City Carbon Maps: A Case Study of Melbourne, Australia," Journal of Industrial Ecology, Yale University, vol. 20(4), pages 676-691, August.
    23. Leontief, Wassily, 1970. "Environmental Repercussions and the Economic Structure: An Input-Output Approach," The Review of Economics and Statistics, MIT Press, vol. 52(3), pages 262-271, August.
    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. Fang Shen & Zibibula Simayi & Shengtian Yang & Yusuyunjiang Mamitimin & Xiaofen Zhang & Yunyi Zhang, 2023. "A Bibliometric Review of Household Carbon Footprint during 2000–2022," Sustainability, MDPI, vol. 15(7), pages 1-25, April.

    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. Albert, Osei-Owusu Kwame & Marianne, Thomsen & Jonathan, Lindahl & Nino, Javakhishvili Larsen & Dario, Caro, 2020. "Tracking the carbon emissions of Denmark's five regions from a producer and consumer perspective," Ecological Economics, Elsevier, vol. 177(C).
    2. Eivind Lekve Bjelle & Johannes Többen & Konstantin Stadler & Thomas Kastner & Michaela C. Theurl & Karl-Heinz Erb & Kjartan-Steen Olsen & Kirsten S. Wiebe & Richard Wood, 2020. "Adding country resolution to EXIOBASE: impacts on land use embodied in trade," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 9(1), pages 1-25, December.
    3. Peng, Shuijun & Zhang, Wencheng & Sun, Chuanwang, 2016. "‘Environmental load displacement’ from the North to the South: A consumption-based perspective with a focus on China," Ecological Economics, Elsevier, vol. 128(C), pages 147-158.
    4. Chen, B. & Yang, Q. & Zhou, Sili & Li, J.S. & Chen, G.Q., 2017. "Urban economy's carbon flow through external trade: Spatial-temporal evolution for Macao," Energy Policy, Elsevier, vol. 110(C), pages 69-78.
    5. Gisleine Carmo & Luiz Flávio Felizardo & Valderí Castro Alcântara & Cristiane Aparecida Silva & José Willer Prado, 2023. "The impact of Jürgen Habermas’s scientific production: a scientometric review," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(3), pages 1853-1875, March.
    6. Zhang, Zhonghua & Zhao, Yuhuan & Su, Bin & Zhang, Yongfeng & Wang, Song & Liu, Ya & Li, Hao, 2017. "Embodied carbon in China’s foreign trade: An online SCI-E and SSCI based literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 492-510.
    7. Kucukvar, Murat & Cansev, Bunyamin & Egilmez, Gokhan & Onat, Nuri C. & Samadi, Hamidreza, 2016. "Energy-climate-manufacturing nexus: New insights from the regional and global supply chains of manufacturing industries," Applied Energy, Elsevier, vol. 184(C), pages 889-904.
    8. Simon Schulte & Arthur Jakobs & Stefan Pauliuk, 2021. "Relaxing the import proportionality assumption in multi-regional input–output modelling," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 10(1), pages 1-21, December.
    9. Fernández-Amador, Octavio & Francois, Joseph F. & Oberdabernig, Doris A. & Tomberger, Patrick, 2023. "Energy footprints and the international trade network: A new dataset. Is the European Union doing it better?," Ecological Economics, Elsevier, vol. 204(PA).
    10. Li, Y.L. & Chen, B. & Chen, G.Q., 2020. "Carbon network embodied in international trade: Global structural evolution and its policy implications," Energy Policy, Elsevier, vol. 139(C).
    11. Misato Sato, 2014. "Embodied Carbon In Trade: A Survey Of The Empirical Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 28(5), pages 831-861, December.
    12. Liang Zhou & Lin Zhang & Ying Zhao & Ruoshu Zheng & Kaiwen Song, 2021. "A scientometric review of blockchain research," Information Systems and e-Business Management, Springer, vol. 19(3), pages 757-787, September.
    13. Anke Schaffartzik & Dominik Wiedenhofer & Nina Eisenmenger, 2015. "Raw Material Equivalents: The Challenges of Accounting for Sustainability in a Globalized World," Sustainability, MDPI, vol. 7(5), pages 1-26, April.
    14. Chaomei Chen & Zhigang Hu & Jared Milbank & Timothy Schultz, 2013. "A visual analytic study of retracted articles in scientific literature," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(2), pages 234-253, February.
    15. Fabio Monsalve & Mateo Ortiz & María-Ángeles Cadarso & Enrique Gilles & Jorge Zafrilla & Luis-Antonio López, 2020. "Nesting a city input–output table in a multiregional framework: a case example with the city of Bogota," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 9(1), pages 1-24, December.
    16. Carlos Olmeda-Gómez & Carlos Romá-Mateo & Maria-Antonia Ovalle-Perandones, 2019. "Overview of trends in global epigenetic research (2009–2017)," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(3), pages 1545-1574, June.
    17. Eisenmenger, Nina & Wiedenhofer, Dominik & Schaffartzik, Anke & Giljum, Stefan & Bruckner, Martin & Schandl, Heinz & Wiedmann, Thomas O. & Lenzen, Manfred & Tukker, Arnold & Koning, Arjan, 2016. "Consumption-based material flow indicators — Comparing six ways of calculating the Austrian raw material consumption providing six results," Ecological Economics, Elsevier, vol. 128(C), pages 177-186.
    18. Fernández-Amador, Octavio & Francois, Joseph F. & Tomberger, Patrick, 2016. "Carbon dioxide emissions and international trade at the turn of the millennium," Ecological Economics, Elsevier, vol. 125(C), pages 14-26.
    19. Xu, Zhongwen & Huang, Liqiao & Liao, Maolin & Xue, Jinjun & Yoshida, Yoshikuni & Long, Yin, 2022. "Quantifying consumption-based carbon emissions of major economic sectors in Japan considering the global value chain," Structural Change and Economic Dynamics, Elsevier, vol. 63(C), pages 330-341.
    20. Karl Steininger & Pablo Munoz & Jonas Karstensen & Glen Peters & Rita Strohmaier & Erick Velazquez, 2017. "Austria’s Consumption-Based Greenhouse Gas Emissions: Identifying sectoral sources and destinations," EcoMod2017 10472, EcoMod.

    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:gam:jijerp:v:19:y:2022:i:18:p:11343-:d:910886. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.