Factors Influencing Chinese Dialect Variation
An SLR Based on a Multidisciplinary Approach
DOI:
https://doi.org/10.58989/plj.v5i1.88Kata Kunci:
Chinese Dialect Variation, Sociolinguistics, language policy, language shift, Systematic Literature reviewAbstrak
This study examines the factors influencing Chinese dialect variation from a sociolinguistic perspective. Despite the establishment of Putonghua as the national standard language, various dialects such as Yue, Min, Wu, and Hakka continue to be used in daily communication, reflecting linguistic and cultural diversity within Chinese society. This research aims to identify and synthesize the main factors affecting dialect variation through a Systematic Literature Review (SLR) approach. Relevant articles published between 2020 and 2025 were collected and analyzed from reputable academic sources. The findings reveal that Chinese dialect variation is shaped by four major factors: social factors, including urbanization, mobility, and language contact; geographical factors, such as regional isolation and topographical conditions; historical-political factors, including migration patterns and language policies; and language identity factors related to cultural attachment and community belonging. The study also indicates that the dominance of Mandarin has contributed to language shift among younger generations.
Referensi
Journals
Huang, H., He, J. G., Jiao, L., & Cai, Z. (2024). Geographic structure of Chinese dialects: A computational dialectometric approach. Linguistics, 62(4), 937–976. https://doi.org/10.1515/ling-2021-0138
Jiang, B., Dong, Q., & Liu, G. (2024). A method of phonemic annotation for Chinese dialects based on a deep learning model with adaptive temporal attention and a feature disentangling structure. Computer Speech & Language, 86, Artikel 101624. https://doi.org/10.1016/j.csl.2024.101624
Jiao, D., & Gnevsheva, K. (2022). Dialect proficiency and Mandarin rating in dialect identification: The case of Jiangsu Province. Journal of Linguistic Geography, 10(1), 23–33. https://doi.org/10.1017/jlg.2021.13
Li, Z., & Yao, S. (2024). Do languages matter? The impact of local dialect proficiency on multidimensional poverty alleviation among rural-to-urban migrants in China. Cities, 150, Artikel 105094. https://doi.org/10.1016/j.cities.2024.105094
Liu, C. (2025). The motivations and limits of Mandarin contact-induced evolution: A case study of Xiaoling Junhua in contact with Min dialects in Hainan. Lingua, 326, Artikel 104025. https://doi.org/10.1016/j.lingua.2025.104025
Liu, F., & Liles, X. (2025). Regional variation in conventional expressions: A comparative study of Mandarin in mainland China and Taiwan. Lingua, 326(15), Artikel 104035. https://doi.org/10.1016/j.lingua.2025.104035
Luo, J., & Tan, Z. (2024). Influence of dialect diversity on level of urban innovation—Empirical evidence based on 276 cities in China. Technological Forecasting and Social Change, 208, Artikel 123667. https://doi.org/10.1016/j.techfore.2024.123667
Mei, Z. (2024). Dialect inheritance and youth identity: An online ethnography study on dialect enthusiasts community on the new media platforms. Frontiers in Communication, 9, Artikel 1464284. https://doi.org/10.3389/fcomm.2024.1464284
Ren, X., & Wang, H. (2025). Exploring Mandarin tone production: A global Chinese perspective. Lingua, 328, Artikel 104060. https://doi.org/10.1016/j.lingua.2025.104060
Sharmini, S. (2024). Study of conversational code-switching in China. Humanities and Social Sciences Communications, 11, Artikel 1060. https://doi.org/10.1057/s41599-024-03534-z
Si, X., Liu, Y., & Wang, J. (2023). Dialect diversity and labor income share in China. Economic Systems, 47(4), Artikel 101145. https://doi.org/10.1016/j.ecosys.2023.101145
Weng, W. C., & Lee-Kim, S. I. (2023). Loss of unreleased final stops among Mandarin-Min bilinguals: Structural convergence of languages in contact. Journal of Phonetics, 101, Artikel 101279. https://doi.org/10.1016/j.wocn.2023.101279
Yan, W., Tao, X., Xu, X., & Dai, Z. (2024). A statistical analysis on the functional changes of dialect and Mandarin Chinese: A diachronic perspective. SAGE Open, 14(2), 1–18. https://doi.org/10.1177/21582440241255452
Zhang, X., Bu, Z., Ju, H., & Jing, Y. (2022). Investigation on the relationship between biodiversity and linguistic diversity in China and its formation mechanism. International Journal of Environmental Research and Public Health, 19(9), Artikel 5538. https://doi.org/10.3390/ijerph19095538
Books
Li, Q., Mai, Q., Wang, M., & Ma, M. (2024). Chinese dialect speech recognition: A comprehensive survey (Vol. 57). Springer Netherlands.
Romaine, S. (2023). Sociolinguistic patterns. Dalam Language in society (hlm. 64–100). Oxford University Press. https://doi.org/10.1093/oso/9780198731924.003.0003
Proceedings & Etc
Nerbonne, J., Heeringa, W., & Kleiweg, P. (1999). Comparison and classification of dialects. Proceedings of the 9th Conference of the European Chapter of the Association for Computational Linguistics (EACL 1999), 281–282.
Zhang, Q., & Chen, G. (2024). Chinese dialects: An overview (Laporan Penelitian/Working Paper).
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Hak Cipta (c) 2026 Dimas Fajar Praditya, Handika Cahaya Danuarta, Dwiki Wahyudi, Muhammad Reza Rahmansyah, Mintowati, Rokhishotul Amaliyah
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