logo logo European Journal of Educational Research

EU-JER is is a, peer reviewed, online academic research journal.

Subscribe to

Receive Email Alerts

for special events, calls for papers, and professional development opportunities.

Subscribe

Publisher (HQ)

Eurasian Society of Educational Research
Eurasian Society of Educational Research
Christiaan Huygensstraat 44, Zipcode:7533XB, Enschede, THE NETHERLANDS
Eurasian Society of Educational Research
Headquarters
Christiaan Huygensstraat 44, Zipcode:7533XB, Enschede, THE NETHERLANDS
Review Article

Low Carbon Education: A Review and Bibliometric Analysis

Muhammad Nur Hudha , Ida Hamidah , Anna Permanasari , Ade Gafar Abdullah , Indriyani Rachman , Toru Matsumoto

The concept of low carbon education is one solution to provide knowledge to students related to low carbon behavior. The purpose of this paper is prov.

T

The concept of low carbon education is one solution to provide knowledge to students related to low carbon behavior. The purpose of this paper is providing an extensive bibliometric literature review on 'low carbon education'. Articles found by Publishing or Perish (PoP) software with the Google Scholar database. There were 55 out of 97 articles found from Google Scholar data base ranging from 2014 to 2019 analyzed in this study. The chosen references were then managed using a referencing manager software namely Zotero. After managing the database, this study classified and visualized it using VOSviewer software. Overall, this review provides an appropriate reference point for further research on 'low carbon education'.

Keywords: Bibliometric analysis, low carbon, low carbon education, low carbon society.

cloud_download PDF
Cite
Article Metrics
Views
2436
Download
3745
Citations
Crossref
55

Scopus
56

References

Agboola, A., & Tsai, K.C. (2012). Bring character education into classroom. European Journal of Educational Research, 1(2), 163-170. https://doi.org/10.12973/eu-jer.1.2.163

Amin, M. S., Permanasari, A., & Setiabudi, A. (2019). The pattern of environmental education practice at schools and its impact to the level of environmental literacy of school-age student. IOP Conf. Series: Earth and Environmental Science, 245, 1–6. https://doi.org/10.1088/1755-1315/245/1/012029

Anbumozhi, V., & Kalirajan, K. (2017). Globalization of low-carbon technologies. Singapore, Singapore: Springer. https://doi.org/10.1007/978-981-10-4901-9

Bai, Y., & Liu, Y. (2013). An exploration of residents’ low-carbon awareness and behavior in Tianjin, China. Energy Policy, 61, 1261–1270. https://doi.org/10.1016/j.enpol.2013.06.014

Baneyx, A. (2008). “Publish or Perish” as citation metrics used to analyze scientific output in the humanities: International case studies in economics, geography, social sciences, philosophy, and history. Archivum Immunologiae et Therapiae Experimentalis, 56(6), 363–371. https://doi.org/10.1007/s00005-008-0043-0

Bilik, O., Damar, H. T., Ozdagoglu, G., Ozdagoglu, A., & Damar, M. (2019). Identifying trends, patterns, and collaborations in nursing career research: A bibliometric snapshot (1980–2017). Collegian. https://doi.org/10.1016/j.colegn.2019.04.005

Chen, W., & Li, J. (2019). Who are the low-carbon activists? Analysis of the influence mechanism and group characteristics of low-carbon behavior in Tianjin, China. Science of the Total Environment, 683, 729–736. https://doi.org/10.1016/j.scitotenv.2019.05.307

Dai, C., Cheng, F., Liu, S., Tang, M., Zheng, H., & Wang, Y. (2019). Low-carbon campus evaluation model and its applications based on fuzzy comprehensive analytic hierarchy process. In Proceedings of the Twelfth International Conference on Management Science and Engineering Management (pp. 741–752). Cham, Germany: Springer International Publishing. https://doi.org/10.1007/978-3-319-93351-1_59

Du, X., Zhou, D., Chao, Q., Wen, Z., Huhe, T., & Liu, Q. (2020). Overview of low-carbon development. Singapore, Singapore: Springer. https://doi.org/10.1007/978-981-13-9250-4_3

Garvetto, A., Badis, Y., Perrineau, M. M., Rad-Menendez, C., Bresnan, E., & Gachon, C. M. M. (2019). Chytrid infecting the bloom-forming marine diatom Skeletonema sp.: Morphology, phylogeny and distribution of a novel species within the Rhizophydiales. Fungal Biology, 123(6), 471–480. https://doi.org/10.1016/j.funbio.2019.04.004

Garza-Reyes, J. A. (2015). Lean and green-a systematic review of the state of the art literature. Journal of Cleaner Production, 102, 18–29. https://doi.org/10.1016/j.jclepro.2015.04.064

Harto, C., Meyers, R., & Williams, E. (2010). Life cycle water use of low-carbon transport fuels. Energy Policy, 38(9), 4933–4944. https://doi.org/10.1016/j.enpol.2010.03.074

Hishammuddin, M. A. H., Ling, G. H. T., Chau, L. W., Idris, A. M., Ho, W. S., Ho, C. S., & Lee, C. T. (2019). Energy demand and GHG emissions by 2030: A scenario analysis using extended snapshot tool towards sustainable low carbon emissions development in Pengerang. Chemical Engineering Transactions, 72, 265–270. https://doi.org/10.3303/CET1972045

Hohne, N., Wartmann, S., Herold, A., & Freibauer, A. (2007). The rules for land use, land use change and forestry under the Kyoto Protocol-lessons learned for the future climate negotiations. Environmental Science and Policy, 10(4), 353–369. https://doi.org/10.1016/j.envsci.2007.02.001

Horan, W., Shawe, R., & O’Regan, B. (2019). Ireland’s transition towards a low carbon society: The leadership role of higher education institutions in solar photovoltaic niche development. Sustainability, 11(3), 558. https://doi.org/10.3390/su11030558

Jiang, P., Chen, Y., Xu, B., Dong, W., & Kennedy, E. (2013). Building low carbon communities in China: The role of individual’s behaviour change and engagement. Energy Policy, 60, 611–620. https://doi.org/10.1016/j.enpol.2013.05.017

Li, H.-Q., Wang, L.-M., Shen, L., & Chen, F.-N. (2012). Study of the potential of low carbon energy development and its contribution to realize the reduction target of carbon intensity in China. Energy Policy, 41, 393–401. https://doi.org/10.1016/j.enpol.2011.10.061

Li, S. (2012). M-learning: The practitioner of low-carbon the main direction of low-carbon education. In S. Sambath & E. Zhu (Eds.), Frontiers in Computer Education. Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-27552-4

Li, Z., Chang, S., Ma, L., Liu, P., Zhao, L., & Yao, Q. (2012). The development of low-carbon towns in China: Concepts and practices. Energy, 47(1), 590–599. https://doi.org/10.1016/j.energy.2012.08.045

Liu, Y. (2019). Enacting a low-carbon economy: Policies and distrust between government employees and enterprises in China. Energy Policy, 130, 130–138. https://doi.org/10.1016/j.enpol.2019.04.001

Liu, Z., Yin, Y., Liu, W., & Dunford, M. (2015). Visualizing the intellectual structure and evolution of innovation systems research: A bibliometric analysis. Scientometrics, 103(1), 135–158. https://doi.org/10.1007/s11192-014-1517-y

Lv, J., & Qi, S. (2016). On low-carbon technology. Low Carbon Economy, 7(3), 107–115. https://doi.org/10.4236/lce.2016.73010

Lyu, P. H., Ngai, E. W. T., & Wu, P. Y. (2019). Scientific data-driven evaluation on academic articles of low-carbon economy. Energy Policy, 125, 358–367. https://doi.org/10.1016/j.enpol.2018.11.004

Martinez-Lopez, F. J., Merigo, J. M., Gazquez-Abad, J. C., & Ruiz-Real, J. L. (2019). Industrial marketing management: Bibliometric overview since its foundation. Industrial Marketing Management, 84, 19–38. https://doi.org/10.1016/j.indmarman.2019.07.014

Nagy, G. (2018). Text mining-based scientometric analysis in educational research. In Proceecings of the European Conference on Education 2018 (pp. 129–142). Szeged, Hungary: University of Szeged.

Neo, S. M., Choong, W. W., & Ahamad, R. Bin. (2017). Differential environmental psychological factors in determining low carbon behaviour among urban and suburban residents through responsible environmental behaviour model. Sustainable Cities and Society, 31, 225–233. https://doi.org/10.1016/j.scs.2017.03.003

Parmar, A., Ganesh, R., & Mishra, A. K. (2019). The top 100 cited articles on Obsessive Compulsive Disorder (OCD): A citation analysis. Asian Journal of Psychiatry, 42, 34–41. https://doi.org/10.1016/j.ajp.2019.03.025

Phang, F. A., Wong, W. Y., Ho, C. S., Musa, A. N., Fujino, J., & Suda, M. (2016). Iskandar Malaysia ecolife challenge: low-carbon education for teachers and students. Clean Technologies and Environmental Policy, 18(8), 2525–2532. https://doi.org/10.1007/s10098-016-1215-y

Phang, F. A., Yoke, W. W., Siong, H. C., & Musa, A. N. (2017). Achieving low carbon society through primary school ecolife challenge in Iskandar Malaysia. Chemical Engineering Transactions, 56, 415–420. https://doi.org/0.3303/CET1756070

Phdungsilp, A. (2010). Integrated energy and carbon modeling with a decision support system: Policy scenarios for low-carbon city development in Bangkok. Energy Policy, 38(9), 4808–4817. https://doi.org/10.1016/j.enpol.2009.10.026

Saltan, F., & Divarci, O.F. (2017). Using Blogs to Improve Elementary School Students’ Environmental Literacy in Science Class. European Journal of Educational Research, 6(3), 347 - 355. https://doi.org/10.12973/eu-jer.6.3.347

Scott, D., Peeters, P., & Gossling, S. (2010). Can tourism deliver its “aspirational” greenhouse gas emission reduction targets? Journal of Sustainable Tourism, 18(3), 393–408. https://doi.org/10.1080/09669581003653542

Setyaningsih, I., Indarti, N., & Jie, F. (2018). Bibliometric analysis of the term “green manufacturing”. International Journal of Management Concepts and Philosophy, 11(3), 315–339. https://doi.org/10.1504/ijmcp.2018.093500

Shuai, C., Shen, L., Jiao, L., Wu, Y., & Tan, Y. (2017). Identifying key impact factors on carbon emission: Evidences from panel and time-series data of 125 countries from 1990 to 2011. Applied Energy, 187, 310–325. https://doi.org/10.1016/j.apenergy.2016.11.029

Shukla, N., Merigó, J. M., Lammers, T., & Miranda, L. (2020). Half a century of computer methods and programs in biomedicine: A bibliometric analysis from 1970 to 2017. Computer Methods and Programs in Biomedicine, 183, 105075. https://doi.org/10.1016/j.cmpb.2019.105075

Shukla, P. R., Dhar, S., & Mahapatra, D. (2008). Low-carbon society scenarios for India. Climate Policy, 8(sup1), 156–176. https://doi.org/10.3763/cpol.2007.0498

Tranfield, D., Denyer, D., & Smart, P. (2003). Towards a methodology for developing evidence-informed management knowledge by means of systematic review. British Journal of Managemen, 14(3), 207–222. https://doi.org/10.1111/1467-8551.00375

van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538. https://doi.org/10.1007/s11192-009-0146-3

Wang, L., Wei, Y. M., & Brown, M. A. (2017). Global transition to low-carbon electricity: A bibliometric analysis. Applied Energy, 205(July), 57–68. https://doi.org/10.1016/j.apenergy.2017.07.107

Wei, X. (2014). Research on establishing city low carbon economy evaluation theory model. The Open Civil Engineering Journal, 8, 446–450. https://doi.org/10.2174/1874149501408010446

Wong, W. Y., Phang, F. A., Ho, C. S., & Musa, A. N. (2017). Sustainable & low carbon practices at schools in Iskandar Malaysia. Chemical Engineering Transactions, 56, 313–318. https://doi.org/10.3303/CET1756053

Zhang, J. (2017). Evaluating regional low-carbon tourism strategies using the fuzzy Delphi-analytic network process approach. Journal of Cleaner Production, 141, 409–419. https://doi.org/10.1016/j.jclepro.2016.09.122

Zhang, T. (2017). Empirical analysis of low-carbon innovation system construction from low-carbon listed companies. In Proceedings of the 2017 7th International Conference on Education, Management, Computer and Society (EMCS 2017) (Vol. 61, pp. 1143–1148). Atlantis Press. https://doi.org/10.2991/emcs-17.2017.219

Zhang, W., Zhao, Q., Deng, J., Hu, Y., Wang, Y., & Ouyang, D. (2017). Big data analysis of global advances in pharmaceutics and drug delivery 1980–2014. Drug Discovery Today, 22(8), 1201–1208. https://doi.org/10.1016/j.drudis.2017.05.012

Zhou, P., Ang, B. W., & Han, J. Y. (2010). Total factor carbon emission performance: A Malmquist index analysis. Energy Economics, 32(1), 194–201. https://doi.org/10.1016/j.eneco.2009.10.003

...