Journal
The Representation of Taoism Ethical Values in the Dao De Jing and Their Relevance in the Film “Nezha: Birth of the Demon Child”
Longda Xiaokan: Journal of Mandarin Learning and Teaching · Vol. 9 No. 1 (2026) · pp. 39–50
- ISSN
- 2715-1611, 2528-5734
- Published
- 2026-06-09
- Publisher
- Universitas Negeri Semarang
- Language
- eng
Abstract
Film as a contemporary medium has the capacity to convey philosophical values to the present generation. This study aims to analyze the ethical values of Taoism in the Chinese animated film Nezha: Birth of the Demon Child from the perspective of the Dao De Jing. The research employs a qualitative approach with content analysis methods. Data were collected through observation and note-taking techniques, then analyzed using the Miles and Huberman (2014) model. The primary source of analysis is the Dao De Jing 道 德 经 (dào dé jīng), the teaching of laozi in its English translation, referring to Yao, Chen, and Song (2017), who identified eight Taoism ethical values: a merciful and loving heart, be frugal, honest, and simple, be humble, non-action, gentleness, authenticity, harmony, and nurture. The findings reveal three main points. First, seven ethical values are identified, with a merciful and loving heart emerging as the most dominant in character formation. Second, the moral message emphasizes that sacrifice for the common good is more valuable than personal ambition, that cooperation can overcome differences, and that moral education transforms character. Third, the film Nezha demonstrates the continuing relevance of Taoism ethics in the Dao De Jing for addressing social issues in modern society.
Keywords
Collaboration network of the authors
40 authors · 71 co-authorship links · showing the 40 most connected
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- Gunadarma University
- Sekolah Tinggi Agama Buddha Negeri Raden Wijaya Wonogiri
- Universitas Halu Oleo
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Ria Riski Marsuki | Affiliation unknown | 4 |
| Siti Maryam | Affiliation unknown | 3 |
| Rawdhah Binti Yasa | Affiliation unknown | 3 |
| Sutrisno Sutrisno | Sekolah Tinggi Agama Buddha Negeri Raden Wijaya Wonogiri | 2 |
| Hima Sakina Firdhausy | Affiliation unknown | 2 |
| Kezia Yansen Pasang | Affiliation unknown | 2 |
| Julianto Julianto | Affiliation unknown | 2 |
| Winda Amalia | Affiliation unknown | 2 |
| Rajab Ritonga | Gunadarma University | 1 |
| Nadinta Rafifah Suaib | Gunadarma University | 1 |
| Rostin Rostin | Affiliation unknown | 1 |
| Jamal Nasir Baso | Affiliation unknown | 1 |
| Deky Aji Suseno | Affiliation unknown | 1 |
| Kalsum Minangsih | Affiliation unknown | 1 |
| Siti Mahmudah Noorhayati | Affiliation unknown | 1 |
| Wastri Pebriani | Affiliation unknown | 1 |
| Hukmawati Hukmawati | Affiliation unknown | 1 |
| Sri Khaerani Rahman | Affiliation unknown | 1 |
| Elvira Septevany | Affiliation unknown | 1 |
| Dian Sari Unga Waru | Affiliation unknown | 1 |
| Arini Junaeny | Affiliation unknown | 1 |
| Diinaar F. Berlian | Affiliation unknown | 1 |
| M. Bukhori Alkayis | Affiliation unknown | 1 |
| Fransiska Sella Pratiwi | Affiliation unknown | 1 |
| Batari Andini | Affiliation unknown | 1 |
| Ayesa Ayesa | Affiliation unknown | 1 |
| Hamdi Akhsan | Affiliation unknown | 1 |
| Nely Andriani | Affiliation unknown | 1 |
| Suci Husnul Hayati | Affiliation unknown | 1 |
| Muhammad Ikhsan Aljuzza | Affiliation unknown | 1 |
| Wardah Amalia | Affiliation unknown | 1 |
| Wahyu Sukartiningsih | Affiliation unknown | 1 |
| Titik Indarti | Affiliation unknown | 1 |
| MUHAMMAD TAUFIK | Universitas Halu Oleo | 1 |
| Nuszep Almigo | Affiliation unknown | 1 |
| Fadhli A Gani | Affiliation unknown | 1 |
| Eka Srimulyani | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.