Analysis of students carbon footprint in higher education institutions amidst pandemic

Paper Details

Research Paper 10/11/2022
Views (2657)
current_issue_feature_image
publication_file

Analysis of students carbon footprint in higher education institutions amidst pandemic

MA. Lucille W. Abarracoso
J. Biodiv. & Environ. Sci. 21(5), 35-40, November 2022.
Copyright Statement: Copyright 2022; The Author(s).
License: CC BY-NC 4.0

Abstract

During the onset of the COVID-19 pandemic, changes were observed in individual routines, thus affecting the amount of greenhouse gas emissions. Schools were also affected, with a sudden shift from face-to-face to online classes. To study this circumstance, it is important to account for the activities contributing to their carbon emissions. The carbon footprint is the total GHGs emissions generated by our actions, directly or indirectly. This study aimed to analyze the average carbon footprint of the Higher Education Institutions (HEIs) students during face-to-face and online learning and identify which student-related activities contribute more to one’s carbon footprint. A descriptive-survey research design was employed using an online survey to gather the activity intensity of every student regarding their food, electrical consumption, ICT use, and transportation. The activity intensity was then multiplied by the emission factors based on other studies to compute their carbon footprint. It was revealed that the student’s average annual carbon footprint during face-to-face learning was estimated as 2.55 t-CO2e per person and 1.35 t-CO2e during online learning. In addition, transportation use was the highest contributor and accounted for 58% of the total carbon footprint of the students during face-to-face learning. However, during the height of the pandemic, the footprint from transportation significantly dropped. Food, on the other hand, contributes the most to online learning, accounting for 48% of the total footprint. As a result, school systems may be encouraged to integrate blended learning to reduce the students’ carbon footprint.

Cames M, Graichen J, Siemons A, Cook V. 2015. Emission Reduction Targets for International Aviation and Shipping. 

Čuček L, Klemeš JJ, Kravanja Z. 2015. Overview of environmental footprints. Assessing and Measuring Environmental Impact and Sustainability, 131-193. DOI: 10.1021/es4003718

Hamerschlag K. 2011. A Meat Eater’s Guide to Climate Change + Health: What You Eat Matters.

IPCC. 2007. Climate Change 2007: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change.

Janssen M, Chang BPI, Hristov H, Pravst I, Profeta A, Millard J. 2021. Changes in food consumption during the covid-19 pandemic: Analysis of consumer survey data from the first lockdown period in Denmark, Germany, and Slovenia. Frontier Nutrition 8, 635859. DOI: 10.3389/fnut.2021.635859

Kleefeld J, Fuglestvedt J, Berntsen T. 2013. Mode, load, and specific climate impact from passenger trips. Environmental Science & Technology 47(14), 7608-7614.

Le Quere C, Jackson R, Jones M, Smith A, Abernethy S, Andrew R, De-Gol A, Willis D, Shan Y, Canadell J, Friedlingstein P, Creutzig F, Peters G. 2020. Temporary reduction in daily global CO2 emissions during the COVID-19 forced confinement. Nature Climate Change 22, 647-653. https://doi.org/10.1038/s41558-020-0797-x

Li X, Tan H, Rackes A. 2015. Carbon footprint analysis of student behavior for a sustainable university campus in China. Journal of Cleaner Production, 1-12. http://dx.doi.org/10.1016/j.jclepro. 2014.11.084

Versteijlen M, Francisca Perez Salgado FP, Groesbeek MJ, Counotte A. 2017. Pros and cons of online education as a measure to reduce carbon emissions in higher education in the Netherlands. Current Opinion in Environmental Sustainability 28, 80-89. http://dx.doi.org/10.1016/j.cosust.2017.09.

Wiedmann T, Minx J. 2008. A Definition of ‘Carbon Footprint’. In: C. C. Pertsova, Ecological Economics Research Trends: Chapter 1, pp. 1-11, Nova Science Publishers, Hauppauge NY, USA.

Related Articles

Prevalence and risk factors of Fasciola gigantica infection in carabaos (Bubalus bubalis) in selected municipalities in the Province of Cagayan, Philippines

John Michael U. Tabil*, Janine Mae D. Dimas, Jhude C. Gamata, Monique E. Montenegro, Rhina Jean J. Valiente, Jhaysel G. Rumbaoa, Maricel F. Campañano, Kathlyn B. Cruz, Roel T. Calagui, Sherwin L. Alota, Jojo D. Cauilan, Bryan Jerome R. Bassig, Louis Voltaire A. Pagalilauan, Mary Ann M. Santos, J. Biodiv. & Environ. Sci. 29(1), 24-32, July 2026.

Ambient air quality assessment and modelling across phases of road construction: A case study of the Jalgaon-Bhadgaon state highway, India

Anilkumar Dattatray Shimpi*, Ashok Maruti Datir, Pravin Mukund Nalawade, J. Biodiv. & Environ. Sci. 29(1), 17-23, July 2026.

Crayfish aquaponics systems: Current status, design considerations and future development opportunities

Rodolfo G. Nillo*, Abigail P. Cid-Andres, J. Biodiv. & Environ. Sci. 29(1), 1-16, July 2026.

Reptile diversity in agroecosystem and ecotourism area of Aliwagwag Protected Landscape, Davao Oriental, Philippines

Juliet Tilan Cervantes*, J. Biodiv. & Environ. Sci. 28(6), 214-221, June 2026.

Geo-space monitoring technology and gis based predictive modeling of land use/land cover dynamics

E. Ahuchaogu Udo*, U. Duru Uchenna, E. Njoku Richard, G. Ogbonna Chukwuemeka, C. Okoboji Anthony, E. F. Onyeagoro, J. Biodiv. & Environ. Sci. 28(6), 202-213, June 2026.

Carbon emissions and removals from land-use and land-cover change in the Djoum, Mintom, Ngoyla, and Yokadouma forest block, Cameroon (Congo Basin)

Pascal Freddy Bikono*, Zachée Ambang, Joseph Armathé Amougou, Lucas Dominique Bembong Ebokona, Garga Amadou, Rose Ngo Makak, Richard Russell Akoulou Ze Mballa, J. Biodiv. & Environ. Sci. 28(6), 170-184, June 2026.

Characterization of macroplastics in the mangrove ecosystems of Baganga, Davao Oriental, Philippines

Marlone M. Barrete*, J. Biodiv. & Environ. Sci. 28(6), 150-169, June 2026.