Energy efficiency and COVID-19: a systematic literature review and bibliometric analysis on economic effects
Abstract
The Corona Virus Disease 2019 (COVID-19) epidemic has deferred global progress in energy efficiency to a decade-long low, posing a threat to the achievement of international climate goals, and also profoundly affected the development of economics. To gain insight into the research frontiers and hotspots in energy efficiency and COVID-19, a systematic literature review and bibliometric analysis on economic effects are performed with the help of the bibliometric tools VOSviewer and Bibliometrix. This paper selects all the publications retrieved based on the subject terms in the Web of Science core collection. Firstly, this article performs a performance analysis of related publications to present the development and distribution of energy efficiency and COVID-19 from research areas, relevant sources, and influential articles. Afterward, a visual analysis of the literature called science mapping analysis is implemented to display the structural and dynamic organization of knowledge in energy efficiency and COVID-19 research. In the end, detailed discussions of two research hotspots and some theoretical and practical implications are concluded in the systematic literature review and bibliometric analysis findings, which may contribute to further development for researchers in the field of energy efficiency and eventually propel the progress of society and economy in an all-round way.
First published online 06 October 2023
Keyword : energy efficiency, COVID-19, science mapping, energy policies, energy consumption
How to Cite
Yao, X., Xu, Z., Wang, X., Wang, L., & Škare, M. (2024). Energy efficiency and COVID-19: a systematic literature review and bibliometric analysis on economic effects. Technological and Economic Development of Economy, 30(1), 287–311. https://doi.org/10.3846/tede.2023.18726
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
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Lan, J., Ge, J. W., Yu, J. F., Shan, S. S., Zhou, H., Fan, S., Zhang, Q., Shi, X., Wang, Q., & Wang, X. (2020). Structure of the SARS-CoV-2 spike receptor-binding domain bound to the ACE2 receptor. Nature, 581(7807), 215–220. https://doi.org/10.1038/s41586-020-2180-5
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Li, B., & Xu, Z. S. (2021). A comprehensive bibliometric analysis of financial innovation. Economic Research-Ekonomska Istraživanja. https://doi.org/10.1080/1331677X.2021.1893203
Liu, H. C., Jin, X. J., & Zhang, F. G. (2020). Multi-objective robust design of vehicle structure based on multi-objective particle swarm optimization. Journal of Intelligent & Fuzzy Systems, 39(6), 9063–9071. https://doi.org/10.3233/JIFS-189305
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Newman, M. E. J., & Girvan, M. (2004). Finding and evaluating community structure in networks. Physical Review E, 69(2), 026113. https://doi.org/10.1103/PhysRevE.69.026113
Nicola, M., Alsafi, Z., Sohrabi, C., Kerwan, A., Al-Jabir, A., Iosifidis, C., Agha, M., & Agha, R. (2020). The socio-economic implications of the coronavirus pandemic (COVID-19): A review. International Journal of Surgery, 78, 185–193. https://doi.org/10.1016/j.ijsu.2020.04.018
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Ouyang, X. L., Chen, J. Q., & Du, K. R. (2021). Energy efficiency performance of the industrial sector: From the perspective of technological gap in different regions in China. Energy, 214, 118865. https://doi.org/10.1016/j.energy.2020.118865
Patterson, M. G. (1996). What is energy efficiency?: Concepts, indicators and methodological issues. Energy Policy, 24(5), 377–390. https://doi.org/10.1016/0301-4215(96)00017-1
Qin, Y., Wang, X. X., Xu, Z. S., & Škare, M. (2021). The impact of poverty cycles on economic research: Evidence from econometric analysis. Economic Research-Ekonomska Istraživanja, 34(1), 152–171. https://doi.org/10.1080/1331677X.2020.1780144
Small, H. (1973). Co-citation in the scientific literature: A new measure of the relationship between two documents. Journal of the American Society for Information Science, 24(4), 265–269. https://doi.org/10.1002/asi.4630240406
Sovacool, B. K., Furszyfer Del Rio, D., & Griffiths, S. (2020). Contextualizing the Covid-19 pandemic for a carbon-constrained world: Insights for sustainability transitions, energy justice, and research methodology. Energy Research & Social Science, 68, 101701. https://doi.org/10.1016/j.erss.2020.101701
Trianni, A., Merigó, J. M., & Bertoldi, P. (2018). Ten years of energy efficiency: A bibliometric analysis. Energy Efficiency, 11(8), 1917–1939. https://doi.org/10.1007/s12053-018-9762-1
van Doremalen, N., Bushmaker, T., Morris, D. H., Holbrook, M. G., Gamble, A., Williamson, B. N., Tamin, A., Harcourt, J. L., Thornburg, N. J., Gerber, S. I., Lloyd-Smith, J. O., de Wit, E., & Munster, V. J. (2020). Aerosol and surface stability of SARS-CoV-2 as compared with SARS-CoV-1. New England Journal of Medicine, 382(16), 1564–1567. https://doi.org/10.1056/NEJMc2004973
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, N., Zhu, Y. M., & Yang, T. B. (2020a). The impact of transportation infrastructure and industrial agglomeration on energy efficiency: Evidence from China’s industrial sectors. Journal of Cleaner Production, 244, 118708. https://doi.org/10.1016/j.jclepro.2019.118708
Wang, X. X., Xu, Z. S., & Škare, M. (2020b). A bibliometric analysis of Economic Research-Ekonomska Istraživanja (2007–2019). Economic Research-Ekonomska Istraživanja, 33(1), 865–886. https://doi.org/10.1080/1331677X.2020.1737558
Wang, X. X., Xu, Z. S., Su, S., & Zhou, W. (2021). A comprehensive bibliometric analysis of uncertain group decision making from 1980 to 2019. Information Sciences, 547, 328–353. https://doi.org/10.1016/j.ins.2020.08.036
Worrell, E., Bernstein, L., Roy, J., Price, L., & Harnisch, J. (2008). Industrial energy efficiency and climate change mitigation. Energy Efficiency, 2(2), 109–123. https://doi.org/10.1007/s12053-008-9032-8
Xu, Z. S., Ge, Z. J., Wang, X. X., & Skare, M. (2021). Bibliometric analysis of technology adoption literature published from 1997 to 2020. Technological Forecasting and Social Change, 170, 120896. https://doi.org/10.1016/j.techfore.2021.120896
Xu, Z. S., Wang, X. D., Wang, X. X., & Skare, M. (2021). A comprehensive bibliometric analysis of entrepreneurship and crisis literature published from 1984 to 2020. Journal of Business Research, 135, 304–318. https://doi.org/10.1016/j.jbusres.2021.06.051
Yu, D. J., & He, X. R. (2020). A bibliometric study for DEA applied to energy efficiency: Trends and future challenges. Applied Energy, 268, 115048. https://doi.org/10.1016/j.apenergy.2020.115048
Yu, D. J., Kou, G., Xu, Z. S., & Shi, S. S. (2021). Analysis of collaboration evolution in AHP research: 1982–2018. International Journal of Information Technology & Decision Making, 20(1), 7–36. https://doi.org/10.1142/S0219622020500406
Yu, Y. T., & Luo, N. S. (2022). Does urbanization improve energy efficiency? Empirical evidence from China. Technological and Economic Development of Economy, 28(4), 1003–1021. https://doi.org/10.3846/tede.2022.16736
Zhang, D. D., Li, H. Y., Zhu, H. Y., Zhang, H. C., Goh, H. H., Wong, M. C., & Wu, T. (2021). Impact of COVID-19 on urban energy consumption of commercial tourism city. Sustainable Cities and Society, 73, 103133. https://doi.org/10.1016/j.scs.2021.103133
Zhang, L. Y., Li, H., Lee, W., & Liao, H. (2021). COVID-19 and energy: Influence mechanisms and research methodologies. Sustainable Production and Consumption, 27, 2134–2152. https://doi.org/10.1016/j.spc.2021.05.010
Anderson, C. (2004). The long tail. Wired Magazine, 12(10), 170–177.
Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975. https://doi.org/10.1016/j.joi.2017.08.007
Aruga, K., Islam, M. M., & Jannat, A. (2020). Effects of COVID-19 on Indian energy consumption. Sustainability, 12(14), 5616. https://doi.org/10.3390/su12145616
Beier, G., Niehoff, S., Ziems, T., & Xue, B. (2017). Sustainability aspects of a digitalized industry – A comparative study from China and Germany. International Journal of Precision Engineering and Manufacturing-Green Technology, 4(2), 227–234. https://doi.org/10.1007/s40684-017-0028-8
Blondel, V. D., Guillaume, J.-L., Lambiotte, R., & Lefebvre, E. (2008). Fast unfolding of communities in large networks. Journal of Statistical Mechanics: Theory and Experiment, 2008(10), P10008. https://doi.org/10.1088/1742-5468/2008/10/P10008
Boyack, K. W., & Klavans, R. (2010). Co-citation analysis, bibliographic coupling, and direct citation: Which citation approach represents the research front most accurately? Journal of the American Society for Information Science and Technology, 61(12), 2389–2404. https://doi.org/10.1002/asi.21419
Broadus, R. N. (1987). Toward a definition of “bibliometrics”. Scientometrics, 12(5), 373–379. https://doi.org/10.1007/BF02016680
Brosemer, K., Schelly, C., Gagnon, V., Arola, K. L., Pearce, J. M., Bessette, D., & Schmitt Olabisi, L. (2020). The energy crises revealed by COVID: Intersections of Indigeneity, inequity, and health. Energy Research & Social Science, 68, 101661. https://doi.org/10.1016/j.erss.2020.101661
Chang, Y. H., Huang, R., Ge, X. L., Huang, X. P., Hu, J., Duan, Y., Zou, Z., Liu, X., & Lehmann, M. F. (2020). Puzzling haze events in China during the coronavirus (COVID-19) shutdown. Geophysical Research Letters, 47(12), e2020GL088533. https://doi.org/10.1029/2020GL088533
Chen, C. M. (2017). Science mapping: A systematic review of the literature. Journal of Data and Information Science, 2(2), 1–40. https://doi.org/10.1515/jdis-2017-0006
Cortés-Sánchez, J. D. (2019). Innovation in Latin America through the lens of bibliometrics: Crammed and fading away. Scientometrics, 121(2), 869–895. https://doi.org/10.1007/s11192-019-03201-0
Cortiços, N. D., & Duarte, C. C. (2021). COVID-19: The impact in US high-rise office buildings energy efficiency. Energy and Buildings, 249, 111180. https://doi.org/10.1016/j.enbuild.2021.111180
Du, H. B., Wei, L. X., Brown, M. A., Wang, Y. Y., & Shi, Z. (2013). A bibliometric analysis of recent energy efficiency literatures: An expanding and shifting focus. Energy Efficiency, 6(1), 177–190. https://doi.org/10.1007/s12053-012-9171-9
Garfield, E. (1979). Is citation analysis a legitimate evaluation tool? Scientometrics, 1(4), 359–375. https://doi.org/10.1007/BF02019306
International Energy Agency. (2020). Sustainable recovery. IEA, Paris. https://www.iea.org/reports/sustainable-recovery
Jiang, P., Fan, Y. V., & Klemeš, J. J. (2021). Impacts of COVID-19 on energy demand and consumption: Challenges, lessons and emerging opportunities. Applied Energy, 285, 116441. https://doi.org/10.1016/j.apenergy.2021.116441
Jin, Z. M., Du, X. Y., Xu, Y. C., Deng, Y. Q., Liu, M., Zhao, Y., Zhang, B., Li, X., Zhang, L., Peng, C., Duan, Y., Yu, J., Wang, L., Yang, K., Liu, F., Jiang, R., Yang, X., You, T., Liu, X., ... Yang, H. (2020). Structure of Mpro from SARS-CoV-2 and discovery of its inhibitors. Nature, 582(7811), 289–293. https://doi.org/10.1038/s41586-020-2223-y
Kang, H., An, J., Kim, H., Ji, C., Hong, T., & Lee, S. (2021). Changes in energy consumption according to building use type under COVID-19 pandemic in South Korea. Renewable and Sustainable Energy Reviews, 148, 111294. https://doi.org/10.1016/j.rser.2021.111294
Klemeš, J. J., Fan, Y. V., & Jiang, P. (2020). The energy and environmental footprints of COVID-19 fighting measures – PPE, disinfection, supply chains. Energy, 211, 118701. https://doi.org/10.1016/j.energy.2020.118701
Lan, J., Ge, J. W., Yu, J. F., Shan, S. S., Zhou, H., Fan, S., Zhang, Q., Shi, X., Wang, Q., & Wang, X. (2020). Structure of the SARS-CoV-2 spike receptor-binding domain bound to the ACE2 receptor. Nature, 581(7807), 215–220. https://doi.org/10.1038/s41586-020-2180-5
Le Quéré, C., Jackson, R. B., Jones, M. W., Smith, A. J. P., Abernethy, S., Andrew, R. M., De-Gol, A. J., Willis, D. R., Shan, Y., Canadell, J. G., Fredlinstein, P., Creutzig, F., & Peters, G. P. (2020). Temporary reduction in daily global CO2 emissions during the COVID-19 forced confinement. Nature Climate Change, 10(7), 647–653. https://doi.org/10.1038/s41558-020-0797-x
Li, B., & Xu, Z. S. (2021). A comprehensive bibliometric analysis of financial innovation. Economic Research-Ekonomska Istraživanja. https://doi.org/10.1080/1331677X.2021.1893203
Liu, H. C., Jin, X. J., & Zhang, F. G. (2020). Multi-objective robust design of vehicle structure based on multi-objective particle swarm optimization. Journal of Intelligent & Fuzzy Systems, 39(6), 9063–9071. https://doi.org/10.3233/JIFS-189305
Lü, X. S., Lu, T., Yang, T., Salonen, H., Dai, Z., Droege, P., & Chen, H. (2021). Improving the energy efficiency of buildings based on fluid dynamics models: A critical review. Energies, 14(17), 5384. https://doi.org/10.3390/en14175384
Mastropietro, P., Rodilla, P., & Batlle, C. (2020). Emergency measures to protect energy consumers during the Covid-19 pandemic: A global review and critical analysis. Energy Research & Social Science, 68, 101678. https://doi.org/10.1016/j.erss.2020.101678
Newman, M. E. J., & Girvan, M. (2004). Finding and evaluating community structure in networks. Physical Review E, 69(2), 026113. https://doi.org/10.1103/PhysRevE.69.026113
Nicola, M., Alsafi, Z., Sohrabi, C., Kerwan, A., Al-Jabir, A., Iosifidis, C., Agha, M., & Agha, R. (2020). The socio-economic implications of the coronavirus pandemic (COVID-19): A review. International Journal of Surgery, 78, 185–193. https://doi.org/10.1016/j.ijsu.2020.04.018
Nutho, B., Mahalapbutr, P., Hengphasatporn, K., Pattaranggoon, N. C., Simanon, N., Shigeta, Y., Hannongbua, S., & Rungrotmongkol, T. (2020). Why are lopinavir and ritonavir effective against the newly emerged coronavirus 2019? Atomistic insights into the inhibitory mechanisms. Biochemistry, 59(18), 1769–1779. https://doi.org/10.1021/acs.biochem.0c00160
Ouyang, X. L., Chen, J. Q., & Du, K. R. (2021). Energy efficiency performance of the industrial sector: From the perspective of technological gap in different regions in China. Energy, 214, 118865. https://doi.org/10.1016/j.energy.2020.118865
Patterson, M. G. (1996). What is energy efficiency?: Concepts, indicators and methodological issues. Energy Policy, 24(5), 377–390. https://doi.org/10.1016/0301-4215(96)00017-1
Qin, Y., Wang, X. X., Xu, Z. S., & Škare, M. (2021). The impact of poverty cycles on economic research: Evidence from econometric analysis. Economic Research-Ekonomska Istraživanja, 34(1), 152–171. https://doi.org/10.1080/1331677X.2020.1780144
Small, H. (1973). Co-citation in the scientific literature: A new measure of the relationship between two documents. Journal of the American Society for Information Science, 24(4), 265–269. https://doi.org/10.1002/asi.4630240406
Sovacool, B. K., Furszyfer Del Rio, D., & Griffiths, S. (2020). Contextualizing the Covid-19 pandemic for a carbon-constrained world: Insights for sustainability transitions, energy justice, and research methodology. Energy Research & Social Science, 68, 101701. https://doi.org/10.1016/j.erss.2020.101701
Trianni, A., Merigó, J. M., & Bertoldi, P. (2018). Ten years of energy efficiency: A bibliometric analysis. Energy Efficiency, 11(8), 1917–1939. https://doi.org/10.1007/s12053-018-9762-1
van Doremalen, N., Bushmaker, T., Morris, D. H., Holbrook, M. G., Gamble, A., Williamson, B. N., Tamin, A., Harcourt, J. L., Thornburg, N. J., Gerber, S. I., Lloyd-Smith, J. O., de Wit, E., & Munster, V. J. (2020). Aerosol and surface stability of SARS-CoV-2 as compared with SARS-CoV-1. New England Journal of Medicine, 382(16), 1564–1567. https://doi.org/10.1056/NEJMc2004973
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, N., Zhu, Y. M., & Yang, T. B. (2020a). The impact of transportation infrastructure and industrial agglomeration on energy efficiency: Evidence from China’s industrial sectors. Journal of Cleaner Production, 244, 118708. https://doi.org/10.1016/j.jclepro.2019.118708
Wang, X. X., Xu, Z. S., & Škare, M. (2020b). A bibliometric analysis of Economic Research-Ekonomska Istraživanja (2007–2019). Economic Research-Ekonomska Istraživanja, 33(1), 865–886. https://doi.org/10.1080/1331677X.2020.1737558
Wang, X. X., Xu, Z. S., Su, S., & Zhou, W. (2021). A comprehensive bibliometric analysis of uncertain group decision making from 1980 to 2019. Information Sciences, 547, 328–353. https://doi.org/10.1016/j.ins.2020.08.036
Worrell, E., Bernstein, L., Roy, J., Price, L., & Harnisch, J. (2008). Industrial energy efficiency and climate change mitigation. Energy Efficiency, 2(2), 109–123. https://doi.org/10.1007/s12053-008-9032-8
Xu, Z. S., Ge, Z. J., Wang, X. X., & Skare, M. (2021). Bibliometric analysis of technology adoption literature published from 1997 to 2020. Technological Forecasting and Social Change, 170, 120896. https://doi.org/10.1016/j.techfore.2021.120896
Xu, Z. S., Wang, X. D., Wang, X. X., & Skare, M. (2021). A comprehensive bibliometric analysis of entrepreneurship and crisis literature published from 1984 to 2020. Journal of Business Research, 135, 304–318. https://doi.org/10.1016/j.jbusres.2021.06.051
Yu, D. J., & He, X. R. (2020). A bibliometric study for DEA applied to energy efficiency: Trends and future challenges. Applied Energy, 268, 115048. https://doi.org/10.1016/j.apenergy.2020.115048
Yu, D. J., Kou, G., Xu, Z. S., & Shi, S. S. (2021). Analysis of collaboration evolution in AHP research: 1982–2018. International Journal of Information Technology & Decision Making, 20(1), 7–36. https://doi.org/10.1142/S0219622020500406
Yu, Y. T., & Luo, N. S. (2022). Does urbanization improve energy efficiency? Empirical evidence from China. Technological and Economic Development of Economy, 28(4), 1003–1021. https://doi.org/10.3846/tede.2022.16736
Zhang, D. D., Li, H. Y., Zhu, H. Y., Zhang, H. C., Goh, H. H., Wong, M. C., & Wu, T. (2021). Impact of COVID-19 on urban energy consumption of commercial tourism city. Sustainable Cities and Society, 73, 103133. https://doi.org/10.1016/j.scs.2021.103133
Zhang, L. Y., Li, H., Lee, W., & Liao, H. (2021). COVID-19 and energy: Influence mechanisms and research methodologies. Sustainable Production and Consumption, 27, 2134–2152. https://doi.org/10.1016/j.spc.2021.05.010