IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i14p8324-d857816.html
   My bibliography  Save this article

Understanding Green Consumption: A Literature Review Based on Factor Analysis and Bibliometric Method

Author

Listed:
  • Jianrong Yao

    (School of Information Management and Artificial Intelligence, Zhejiang University of Finance and Economics, Hangzhou 310018, China)

  • Xiangliang Guo

    (School of Information Management and Artificial Intelligence, Zhejiang University of Finance and Economics, Hangzhou 310018, China)

  • Lu Wang

    (School of Information Management and Artificial Intelligence, Zhejiang University of Finance and Economics, Hangzhou 310018, China)

  • Hui Jiang

    (School of Information Management and Artificial Intelligence, Zhejiang University of Finance and Economics, Hangzhou 310018, China)

Abstract

In recent years, research on green consumption has grown at an exponential rate. Because this field of study has seen such rapid growth, research hotspots have been constantly changing, making it difficult for scholars to keep track of the most current hotspots and trends related to the topic of green consumption. In this study, we employed Citespace, COOC1.9, and SPSS 20 to map knowledge in the field of green consumption and to identify current research preferences, cooperative networks among countries and institutions, and collaborative networks among authors. A total of 2194 papers from the period of 2016–2022, sourced from the Web of Science, were collected as our data sample. The results show that the topic of green consumption has caught the attention of researchers around the world, particularly in some countries with high levels of economic development, for instance, in China, USA, and England. In addition, although there are numerous scholars who have focused on the study of green consumption, currently, there are few efficient and productive authors. Collaborative networks among authors, and cooperative networks among institutions and countries, are all still immature and need to be further strengthened. A principal component analysis (PCA) showed that the existing literature focuses on the following three topics: (1) consumer green behavior, (2) corporate green production, and (3) green marketing in social media. In addition, we conducted a multidimensional scaling (MDS) analysis to verify our results. Finally, we offer some suggestions intended to inform and enrich the field for future researchers.

Suggested Citation

  • Jianrong Yao & Xiangliang Guo & Lu Wang & Hui Jiang, 2022. "Understanding Green Consumption: A Literature Review Based on Factor Analysis and Bibliometric Method," Sustainability, MDPI, vol. 14(14), pages 1-13, July.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:14:p:8324-:d:857816
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/14/8324/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/14/8324/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nathalie Spielmann, 2021. "Green is the New White: How Virtue Motivates Green Product Purchase," Journal of Business Ethics, Springer, vol. 173(4), pages 759-776, November.
    2. Sun, Huaping & Geng, Yong & Hu, Lingxiang & Shi, Longyu & Xu, Tong, 2018. "Measuring China's new energy vehicle patents: A social network analysis approach," Energy, Elsevier, vol. 153(C), pages 685-693.
    3. I. Rowlands, 1999. "Patterns of author cocitation in information policy: Evidence of social, collaborative and cognitive structure," Scientometrics, Springer;Akadémiai Kiadó, vol. 44(3), pages 533-546, March.
    4. Qiong Dang & Zhongming Luo & Chuhao Ouyang & Lin Wang & Mei Xie, 2021. "Intangible Cultural Heritage in China: A Visual Analysis of Research Hotspots, Frontiers, and Trends Using CiteSpace," Sustainability, MDPI, vol. 13(17), pages 1-21, September.
    5. Ding, Zhihua & Wang, Guangqiang & Liu, Zhenhua & Long, Ruyin, 2017. "Research on differences in the factors influencing the energy-saving behavior of urban and rural residents in China–A case study of Jiangsu Province," Energy Policy, Elsevier, vol. 100(C), pages 252-259.
    6. Duong, Quang Huy & Zhou, Li & Meng, Meng & Nguyen, Truong Van & Ieromonachou, Petros & Nguyen, Duy Tiep, 2022. "Understanding product returns: A systematic literature review using machine learning and bibliometric analysis," International Journal of Production Economics, Elsevier, vol. 243(C).
    7. Giada Di Stefano & Alfonso Gambardella & Gianmario Verona, 2012. "Technology Push and Demand Pull Perspectives in Innovation Studies: Current Findings and Future Research Directions," Post-Print hal-00696607, HAL.
    8. Katherine W. McCain, 1990. "Mapping authors in intellectual space: A technical overview," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 41(6), pages 433-443, September.
    9. Warren Torgerson, 1952. "Multidimensional scaling: I. Theory and method," Psychometrika, Springer;The Psychometric Society, vol. 17(4), pages 401-419, December.
    10. Jiapei Wei & Gefu Liang & James Alex & Tongchao Zhang & Chunbo Ma, 2020. "Research Progress of Energy Utilization of Agricultural Waste in China: Bibliometric Analysis by Citespace," Sustainability, MDPI, vol. 12(3), pages 1-22, January.
    11. Daniel Gooch & Asimina Vasalou & Laura Benton, 2017. "Impact in interdisciplinary and cross-sector research: Opportunities and challenges," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(2), pages 378-391, February.
    12. Christian Weismayer & Ilona Pezenka, 2017. "Identifying emerging research fields: a longitudinal latent semantic keyword analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1757-1785, December.
    13. Qikai Cheng & Jiamin Wang & Wei Lu & Yong Huang & Yi Bu, 2020. "Keyword-citation-keyword network: a new perspective of discipline knowledge structure analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 1923-1943, September.
    14. Dokyun Lee & Kartik Hosanagar & Harikesh S. Nair, 2018. "Advertising Content and Consumer Engagement on Social Media: Evidence from Facebook," Management Science, INFORMS, vol. 64(11), pages 5105-5131, November.
    15. de Leeuw, Jan, 2005. "Modern Multidimensional Scaling: Theory and Applications (Second Edition)," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 14(b04).
    16. Di Stefano, Giada & Gambardella, Alfonso & Verona, Gianmario, 2012. "Technology push and demand pull perspectives in innovation studies: Current findings and future research directions," Research Policy, Elsevier, vol. 41(8), pages 1283-1295.
    17. Renáta Machová & Rebeka Ambrus & Tibor Zsigmond & Ferenc Bakó, 2022. "The Impact of Green Marketing on Consumer Behavior in the Market of Palm Oil Products," Sustainability, MDPI, vol. 14(3), pages 1-25, January.
    18. Liobikienė, Genovaitė & Dagiliūtė, Renata, 2021. "Do positive aspects of renewable energy contribute to the willingness to pay more for green energy?," Energy, Elsevier, vol. 231(C).
    19. Woocheol Kim & Gohar Feroz Khan & Jacob Wood & Muhammad Tariq Mahmood, 2016. "Employee Engagement for Sustainable Organizations: Keyword Analysis Using Social Network Analysis and Burst Detection Approach," Sustainability, MDPI, vol. 8(7), pages 1-11, July.
    20. Rojas-Lamorena, Álvaro J. & Del Barrio-García, Salvador & Alcántara-Pilar, Juan Miguel, 2022. "A review of three decades of academic research on brand equity: A bibliometric approach using co-word analysis and bibliographic coupling," Journal of Business Research, Elsevier, vol. 139(C), pages 1067-1083.
    21. Nick Hajli, 2018. "Ethical Environment in the Online Communities by Information Credibility: A Social Media Perspective," Journal of Business Ethics, Springer, vol. 149(4), pages 799-810, June.
    22. Svein Kyvik & Ingvild Reymert, 2017. "Research collaboration in groups and networks: differences across academic fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 951-967, November.
    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. Evangelia Ktisti & Leonidas Hatzithomas & Christina Boutsouki, 2022. "Green Advertising on Social Media: A Systematic Literature Review," Sustainability, MDPI, vol. 14(21), pages 1-25, November.
    2. Beata Zatwarnicka-Madura & Robert Nowacki & Iwona Wojciechowska, 2022. "Influencer Marketing as a Tool in Modern Communication—Possibilities of Use in Green Energy Promotion amongst Poland’s Generation Z," Energies, MDPI, vol. 15(18), pages 1-22, September.
    3. Han Zhang & Chenhan Ruan & Lei Huang & Luluo Peng & Chuangxin Guo, 2023. "Personal vs. Collective Nostalgia and Different Temporally Orientated Green Consumption," Sustainability, MDPI, vol. 15(19), pages 1-22, October.
    4. Ganesh Dash & Chetan Sharma & Shamneesh Sharma, 2023. "Sustainable Marketing and the Role of Social Media: An Experimental Study Using Natural Language Processing (NLP)," Sustainability, MDPI, vol. 15(6), pages 1-16, March.

    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. Manuel Castriotta & Maria Chiara Guardo, 2016. "Disentangling the automotive technology structure: a patent co-citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(2), pages 819-837, May.
    2. Pinho, Celso R.A. & Pinho, Maria Luiza C.A. & Deligonul, Seyda Z. & Tamer Cavusgil, S., 2022. "The agility construct in the literature: Conceptualization and bibliometric assessment," Journal of Business Research, Elsevier, vol. 153(C), pages 517-532.
    3. Patriarca, Riccardo & Ramos, Marilia & Paltrinieri, Nicola & Massaiu, Salvatore & Costantino, Francesco & Di Gravio, Giulio & Boring, Ronald Laurids, 2020. "Human reliability analysis: Exploring the intellectual structure of a research field," Reliability Engineering and System Safety, Elsevier, vol. 203(C).
    4. Maria Glinyanova & Ricarda B. Bouncken & Victor Tiberius & Antonio C. Cuenca Ballester, 2021. "Five decades of corporate entrepreneurship research: measuring and mapping the field," International Entrepreneurship and Management Journal, Springer, vol. 17(4), pages 1731-1757, December.
    5. Manuel Castriotta & Michela Loi & Elona Marku & Ludovica Moi, 2021. "Disentangling the corporate entrepreneurship construct: conceptualizing through co-words," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 2821-2863, April.
    6. Annarelli, Alessandro & Nonino, Fabio, 2016. "Strategic and operational management of organizational resilience: Current state of research and future directions," Omega, Elsevier, vol. 62(C), pages 1-18.
    7. Manuel Castriotta & Michela Loi & Elona Marku & Luca Naitana, 2019. "What’s in a name? Exploring the conceptual structure of emerging organizations," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(2), pages 407-437, February.
    8. Christoph P. Kiefer & Pablo Del Río González & Javier Carrillo‐Hermosilla, 2019. "Drivers and barriers of eco‐innovation types for sustainable transitions: A quantitative perspective," Business Strategy and the Environment, Wiley Blackwell, vol. 28(1), pages 155-172, January.
    9. Paolo E. Giordani & Francesco Rullani, 2020. "The Digital Revolution and COVID-19," Working Papers 06, Department of Management, Università Ca' Foscari Venezia.
    10. Dixit, Aasheesh & Jakhar, Suresh Kumar, 2021. "Airport capacity management: A review and bibliometric analysis," Journal of Air Transport Management, Elsevier, vol. 91(C).
    11. Dawid, Herbert & Pellegrino, Gabriele & Vivarelli, Marco, 2017. "Is the demand-pull driver equally crucial for product vs process innovation?," MERIT Working Papers 2017-035, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    12. Hötte, Kerstin, 2023. "Demand-pull, technology-push, and the direction of technological change," Research Policy, Elsevier, vol. 52(5).
    13. Kerstin Hotte, 2021. "Demand-pull, technology-push, and the direction of technological change," Papers 2104.04813, arXiv.org, revised Jan 2023.
    14. Xu, Lei & Su, Jun, 2016. "From government to market and from producer to consumer: Transition of policy mix towards clean mobility in China," Energy Policy, Elsevier, vol. 96(C), pages 328-340.
    15. Clayton M. Christensen & Rory McDonald & Elizabeth J. Altman & Jonathan E. Palmer, 2018. "Disruptive Innovation: An Intellectual History and Directions for Future Research," Journal of Management Studies, Wiley Blackwell, vol. 55(7), pages 1043-1078, November.
    16. Yashuang Qi & Na Zhu & Yujia Zhai & Ying Ding, 2018. "The mutually beneficial relationship of patents and scientific literature: topic evolution in nanoscience," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 893-911, May.
    17. Nemet, Gregory F. & Zipperer, Vera & Kraus, Martina, 2018. "The valley of death, the technology pork barrel, and public support for large demonstration projects," Energy Policy, Elsevier, vol. 119(C), pages 154-167.
    18. Uzunca, Bilgehan & Sharapov, Dmitry & Tee, Richard, 2022. "Governance rigidity, industry evolution, and value capture in platform ecosystems," Research Policy, Elsevier, vol. 51(7).
    19. Attila Havas, 2016. "Social and Business Innovations: Are Common Measurement Approaches Possible?," Foresight-Russia Форсайт, CyberLeninka;Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский университет «Высшая школа экономики», vol. 10(2 (eng)), pages 58-80.
    20. Pantano, Eleonora & Viassone, Milena, 2014. "Demand pull and technology push perspective in technology-based innovations for the points of sale: The retailers evaluation," Journal of Retailing and Consumer Services, Elsevier, vol. 21(1), pages 43-47.

    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:jsusta:v:14:y:2022:i:14:p:8324-:d:857816. 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.