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Vocabulary selection methods of Chinese language in solar panel branding and promotion

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Published/Copyright: April 21, 2025
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Abstract

In recent days, solar energy has achieved tremendous growth and technological developments that result in reduced cost requirements and increased power quality. Marketing such renewable products, branding and promotion is important because the customers are attracted through these branding names. Vocabulary selection of energy products for branding and promotion empowers the attention of customers and hence the selection of brand names is considered as the initial step in the marketing field. The visual attention of the data is extracted by the eye tracker. So, in this research work, vocabulary selection methods for solar panel branding and promotion in the Chinese language are analyzed. The awareness programs conducted by the Chinese government for the branding and promotion of solar panels are discussed. In addition, vocabulary selection methods with their requirements for branding are analyzed. Eye tracking-based vocabulary selection method is briefly discussed and the measures used for branding and promoting solar panels are also elucidated. After, vocabulary building is accomplished in the second stage through eye tracking-based vocabulary selection. The performance analysis is carried out in terms of correlation, Jaccard, cosine similarity and word error rate. The correlation between the eye tracking-based vocabulary selectionsis the same as that of the user feedback-based vocabulary selection. The selected vocabulary learning method could accomplish user satisfaction and perception in terms of various performance measures.


Corresponding author: Jie Hang, School of Literature and Media, Xi’an FanYi University, Xi’an, Shaanxi 710061, China; and PHD reading in Chinese ancient literature, School of Literature, Northwest University, Xi’an, Shaanxi, 710119, China, E-mail:

  1. Research ethics: Not applicable.

  2. Informed consent: Not applicable.

  3. Author Contributions: Jie Hang, is responsible for designing the framework, analyzing the performance, validating the results, and writing the article.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflicts of interests: The author states no conflict of interest.

  6. Research funding: None declared.

  7. Data availability: Not applicable.

  8. Code availability: Not applicable.

References

1. Tam, C, Elliott, G. Branding and product evaluation across Chinese regions. Market Intell Plann 2011;29:531–44. https://doi.org/10.1108/02634501111138554.Search in Google Scholar

2. Chan, AKK, Yuan, HY. Chinese brand naming: a linguistic analysis of the brands of ten product categories. J Prod Brand Manag 2001;10:235–53.10.1108/10610420110388663Search in Google Scholar

3. Basciano, B. A linguistic overview of brand naming in the Chinese-speaking world. Annali di Ca’ Foscari Serie Orientale 2016;52:243–96.Search in Google Scholar

4. Huang, YY, Chan, AKK. The role of language and culture in marketing communication: a study of Chinese brand names. J Asian Pac Commun 2005;15:257–85. https://doi.org/10.1075/japc.15.2.04hua.Search in Google Scholar

5. Peter, R, Ramaseshan, B, Nayar, CV. Conceptual model for marketing solar-based technology to developing countries. Renew Energy 2002;25:511–24. https://doi.org/10.1016/s0960-1481(01)00080-5.Search in Google Scholar

6. Tsoutsos, TCD. Marketing solar thermal technologies: strategies in Europe, experience in Greece. Renew Energy 2002;26:33–46. https://doi.org/10.1016/s0960-1481(01)00096-9.Search in Google Scholar

7. Bensch, G, Grimm, M, Huppertz, M, Langbein, J, Peters, J. Are promotion programs needed to establish off-grid solar energy markets? Evidence from rural Burkina Faso. Renew Sustain Energy Rev 2018;90:1060–8. https://doi.org/10.1016/j.rser.2017.11.003.Search in Google Scholar

8. Salarifar, M, VakilAlroaia, Y, Danaei, A, Riazi, GH, de Moura Engracia Giraldi, J. Visual attention to the logos of popular and unknown brands: an eye-tracking study during decision-making. J Inf Technol Manag 2020;12:4.Search in Google Scholar

9. Godfroid, A, Winke, P. Investigating implicit and explicit processing using L2 learners’ eye-movement data. In: Implicit and Explicit Learning of Languages. Sandge: Springer; 2015.10.1075/sibil.48.14godSearch in Google Scholar

10. Conklin, K, Pellicer-Sánchez, A. Using eye-tracking in applied linguistics and second language research. Second Lang Res 2016;32:3.10.1177/0267658316637401Search in Google Scholar

11. Jin, J, Wan, X, Lin, Y, Kuang, F, Ning, J. Public willingness to pay for the research and development of solar energy in beijing, China. Energy Pol 2019;134:110962. https://doi.org/10.1016/j.enpol.2019.110962.Search in Google Scholar

12. Malik, SA, Ayop, AR. Solar energy technology: knowledge, awareness, and acceptance of B40 households in one district of Malaysia towards government initiatives. Technol Soc 2020;63:101416. https://doi.org/10.1016/j.techsoc.2020.101416.Search in Google Scholar

13. Huang, P, Negro, SO, Hekkert, MP, Bi, K. How China became a leader in solar PV: an innovation system analysis. Renew Sustain Energy Rev 2016;64:777–89. https://doi.org/10.1016/j.rser.2016.06.061.Search in Google Scholar

14. Wang, Y, Urban, F, Zhou, Y, Chen, L. Comparing the technology trajectories of solar PV and solar water heaters in China: using a patent lens. Sustainability 2018;10:4166. https://doi.org/10.3390/su10114166.Search in Google Scholar

15. Zhao, XG, Wan, G, Yang, Y. The turning point of solar photovoltaic industry in China: will it come? Renew Sustain Energy Rev 2015;41:178–88. https://doi.org/10.1016/j.rser.2014.08.045.Search in Google Scholar

16. Ling, S, Twidell, J, Boardman, B. Household photovoltaic market in Xining, Qinghai Province, China: the role of local PV business. Sol Energy 2002;73:227–40. https://doi.org/10.1016/s0038-092x(02)00068-3.Search in Google Scholar

17. Li, Y, Zhang, Q, Wang, G, Liu, X, Mclellan, B. Promotion policies for third party financing in photovoltaic poverty alleviation projects considering social reputation. J Clean Prod 2019;211:350–9. https://doi.org/10.1016/j.jclepro.2018.11.179.Search in Google Scholar

18. Wang, Q. Effective policies for renewable energy–the example of China’s wind power–lessons for China’s photovoltaic power. Renew Sustain Energy Rev 2010;14:702–12. https://doi.org/10.1016/j.rser.2009.08.013.Search in Google Scholar

19. Das, S, Nayak, J, Mishra, M, Naik, B. Solar photovoltaic renewable energy: analyzing the effectiveness of marketing mix strategies. In: Innovation in Electrical Power Engineering, Communication, and Computing Technology. Changsha: IOP Press; 2021:527–40 pp.10.1007/978-981-16-7076-3_45Search in Google Scholar

20. Alam, SAMS, Fathima, R. A descriptive comprehension study on solar energy, solar products, and solar products marketing in the Indian context. Sustainability 2023;15:263–83.10.1007/978-3-031-16620-4_14Search in Google Scholar

21. Walker, HA. Best practices for operation and maintenance of photovoltaic and energy storage systems. WSlin: OSTI-Gov; 2018.10.2172/1489002Search in Google Scholar

22. Hernández-Callejo, L, Gallardo-Saavedra, S, Alonso-Gómez, V. A review of photovoltaic systems: design, operation and maintenance. Sol Energy 2019;188:426–4.10.1016/j.solener.2019.06.017Search in Google Scholar

23. Aljaghoub, H, Abumadi, F, AlMallahi, MN, Obaideen, K, Alami, AH. Solar PV cleaning techniques contribute to sustainable development goals (SDGs) using multi-criteria decision-making (MCDM): assessment and review. Int J Thermo Fluids 2022;16:100233. https://doi.org/10.1016/j.ijft.2022.100233.Search in Google Scholar

24. Pellicer-Sánchez, A, Montero, PM. Eye-tracking in vocabulary research: introduction to the special issue. Res Methods in Appl Linguist 2024;3:1.10.1016/j.rmal.2024.100095Search in Google Scholar

25. Elgort, I, Brysbaert, M, Stevens, M, Van Assche, E. Contextual word learning during reading in a second language: an eye-movement study. Stud Sec Lang Acquis 2017;39:1–26. https://doi.org/10.1017/s0272263117000109.Search in Google Scholar

26. Cop, U, Dirix, N, Drieghe, D, Duyck, W. Presenting GECO: an eye tracking corpus of monolingual and bilingual sentence reading. J Eye Mov Res 2017;49:602–15. https://doi.org/10.3758/s13428-016-0734-0.Search in Google Scholar PubMed

27. Pellicer-Sánchez, A. Incidental L2 vocabulary acquisition from and while reading. Stud Sec Lang Acquis 2016;38:97–130. https://doi.org/10.1017/s0272263115000224.Search in Google Scholar

28. Zhang, Q, Liu, Z, Zhang, X, Mu, C, Lv, S. Target mining and recognition of product form innovation design based on image word similarity model. In: Image Processing Based on Partial Differential Equations. Tibait: Science Press; 2022.10.1155/2022/3796734Search in Google Scholar

Received: 2024-12-11
Accepted: 2025-03-29
Published Online: 2025-04-21

© 2025 Walter de Gruyter GmbH, Berlin/Boston

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