IDEAS home Printed from https://ideas.repec.org/a/vrs/enviro/v11y2023i3p65-72n3.html
   My bibliography  Save this article

An approach to acquiring knowledge of the personal carbon footprint in Cartagena, in the Colombian Caribbean region

Author

Listed:
  • Valdelamar-Villegas Juan Carlos

    (Environmental Research Group (GIA), Faculty of Engineering, Comfenalco Technological University Foundation, Barrio España, Carrera 44 D No. 30ª – 91, Cartagena, 130015, Colombia)

  • Fajardo-Herrera Reinaldo

    (Applied Biology Research Group, Biology Program, University Campus of San Pablo, University of Cartagena, Zaragocilla, Carrera 50 No. 24–99, Cartagena, 130015, Colombia)

Abstract

CO2 is the main greenhouse gas due to the large volumes emitted by anthropogenic activities, which is why it is necessary to implement strategies that allow the identification of potential sources of CO2 emissions in order to design and implement strategies to reduce them. The aim of this research was to estimate the personal carbon footprint in the city of Cartagena. Through the use of a calculator available on the web and the use of social networks, the personal carbon footprint was estimated and its relationship with some sociodemographic and spatial aspects was characterized. The carbon footprint of the inhabitants of Cartagena varies between 0.4 and 17.6 TonEquivCO2 per year, in addition, there were no differences in terms of sex and age groups. On the other hand, the personal carbon footprint at the spatial level is relatively homogeneous, with a slight distribution of values greater than 9 TonEquivCO2 in the area where people with a lower socioeconomic status live. The results suggest the need to prioritize strategies to reduce the carbon footprint in these places.

Suggested Citation

  • Valdelamar-Villegas Juan Carlos & Fajardo-Herrera Reinaldo, 2023. "An approach to acquiring knowledge of the personal carbon footprint in Cartagena, in the Colombian Caribbean region," Environmental & Socio-economic Studies, Sciendo, vol. 11(3), pages 65-72, September.
    • Handle: RePEc:vrs:enviro:v:11:y:2023:i:3:p:65-72:n:3
    DOI: 10.2478/environ-2023-0018
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/environ-2023-0018
    Download Restriction: no
    File URL: https://libkey.io/10.2478/environ-2023-0018?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
    ---><---

    References listed on IDEAS

    as
    1. Irina Safitri Zen & Abul Quasem Al-Amin & Md. Mahmudul Alam & Brent Doberstein, 2021. "Magnitudes of households’ carbon footprint in Iskandar Malaysia: Policy implications for sustainable development," Post-Print hal-03520198, HAL.
    2. Li, Xi & Zhang, Runsen & Chen, Jundong & Jiang, Yida & Zhang, Qiong & Long, Yin, 2021. "Urban-scale carbon footprint evaluation based on citizen travel demand in Japan," Applied Energy, Elsevier, vol. 286(C).
    3. Thereza R.S. de Aguiar & Anne Fearfull & María V. Sanagustín Fons, 2016. "Calculating the carbon footprint: Implications for governing emissions and gender relations," Accounting Forum, Taylor & Francis Journals, vol. 40(2), pages 63-77, June.
    4. Hoffmann, Stefan & Lasarov, Wassili & Reimers, Hanna, 2022. "Carbon footprint tracking apps. What drives consumers' adoption intention?," Technology in Society, Elsevier, vol. 69(C).
    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. Timothy Fraser & Pinar Temocin, 2021. "Grassroots vs. greenhouse: the role of environmental organizations in reducing carbon emissions," Climatic Change, Springer, vol. 169(3), pages 1-21, December.
    2. Aresu, Simone & Monfardini, Patrizio, 2023. "Oppressed by consumerism: The emancipatory role of household accounting," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 96(C).
    3. José A. Moseñe Fierro & M. Victoria Sanagustín-Fons & César Álvarez Alonso, 2020. "Accountability through Environmental and Social Reporting by Wind Energy Sector Companies in Spain," Sustainability, MDPI, vol. 12(16), pages 1-18, August.
    4. Jian Wang & Dongqian Xue & Meng Wang & Weibin Yan, 2022. "Influencing Factors and Mechanism of Rural Carbon Emissions in Ecologically Fragile Energy Areas—Taking Ejin Horo Banner in Inner Mongolia as an Example," Sustainability, MDPI, vol. 14(12), pages 1-11, June.
    5. Atsushi Watabe & Alice Marie Yamabe-Ledoux, 2023. "Low-Carbon Lifestyles beyond Decarbonisation: Toward a More Creative Use of the Carbon Footprinting Method," Sustainability, MDPI, vol. 15(5), pages 1-28, March.
    6. 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.
    7. Cudjoe, Dan & Zhu, Bangzhu & Wang, Hong, 2024. "The role of incentive policies and personal innovativeness in consumers' carbon footprint tracking apps adoption in China," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
    8. An, Na & Huang, Chenyu & Shen, Yanting & Wang, Jinyu & Yu, Zhongqi & Fu, Jiayan & Liu, Xiao & Yao, Jiawei, 2024. "Efficient data-driven prediction of household carbon footprint in China with limited features," Energy Policy, Elsevier, vol. 185(C).
    9. Mina, Giorgio & Peira, Giovanni & Bonadonna, Alessandro, 2023. "Public perception and social sustainability of indoor farming technologies: A systematic review," Technology in Society, Elsevier, vol. 75(C).
    10. Lanre Olatomiwa & James Garba Ambafi & Umar Suleiman Dauda & Omowunmi Mary Longe & Kufre Esenowo Jack & Idowu Adetona Ayoade & Isah Ndakara Abubakar & Alabi Kamilu Sanusi, 2023. "A Review of Internet of Things-Based Visualisation Platforms for Tracking Household Carbon Footprints," Sustainability, MDPI, vol. 15(20), pages 1-32, October.
    11. Behera, Rajat Kumar & Bala, Pradip Kumar & Rana, Nripendra P., 2024. "Assessing the intention to adopt computational intelligence in interactive marketing," Journal of Retailing and Consumer Services, Elsevier, vol. 78(C).
    12. Jiayu Yang & Xinhui Feng & Yan Li & Congying He & Shiyi Wang & Feng Li, 2024. "How Does Urban Scale Influence Carbon Emissions?," Land, MDPI, vol. 13(8), pages 1-21, August.
    13. Li, Jiajia & Li, Jun & Zhang, Jian, 2024. "Can digitalization facilitate low carbon lifestyle? --Evidence from households’ embedded emissions in China," Technology in Society, Elsevier, vol. 76(C).

    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:vrs:enviro:v:11:y:2023:i:3:p:65-72:n:3. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.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.