Роль производительных установок в социально-экономическом развитии страны в представлении китайских студентов
Научная статья
Для цитирования
Михайлов А. Ю., Хомякова Л. И., Морковкин Д. Е., Войтенкова Г. Ф. Роль производительных установок в социально-экономическом развитии страны в представлении китайских студентов // Народонаселение. 2026. Том 29. № 3. С. 199-211. DOI: https://doi.org/10.24412/1561-7785-2026-3-199-211 EDN: OUZGYV (in English).
Аннотация
В статье представлены результаты исследования, посвящённого оценке студентами роли производительных установок в Китае на социальном, институциональном и индивидуальном уровне для достижения экономического и социального баланса в обществе. Здесь отмечается также важность осознания китайскими студентами роли этих установок для их собственной успешной деятельности в будущем. Авторами был применен описательный аналитический метод на основе ИИ с использованием социальных сетей. Выборка (365 студентов) включала в себя показатели в разбивке по полу, году обучения, a также по естественным и гуманитарным колледжам университетов. Полученные результаты показали, что китайские студенты осознают роль производительных установок в достижении экономического и социального баланса в обществе. В ответах респондентов относительно роли производительных установок в достижении экономического баланса в обществе выявлено отсутствие значительных статистических различий по показателям пола и года обучения студентов, и наличие существенных различий между ответами студентов гуманитарных и естественных колледжей. Однако не было обнаружено заметных различий в ответах студентов, касающихся развития в социальной сфере. Китайские студенты понимают, что производительные установки способствуют как развитию страны в целом, так и их личному успеху. Студенты также осведомлены о препятствиях, которые могут затруднять реализацию их потенциала. В статье отмечается, что результаты исследования могут быть использованы в университетах для распространения среди студентов информации о культуре производительных установок с помощью учебных планов и программ.
Ключевые слова:
производительные установки, Китай, студенты, ИИ, экономический и социальный баланс развития общества и индивидов
Литература
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2. Dinis A., Do Paco A., Ferreira J., Raposo M., Rodrigues R. Psychological characteristics and entrepreneurship intentions among secondary student. Education and Training. 2013. Vol. 55. No. 8/9. P. 763–780.
3. Hoffman R., Casnocha B. The Start-up of You: Adapt to the Future, Invest in Yourself, and Transform your Career. 2012. New York. Crown Business Publishing Group. 280 p.
4. Abadie M., Waroquier L. Evaluating the benefits of conscious and unconscious thought in complex decision making. Policy Insights from the Behavioral and Brain Sciences. 2019. Vol. 6. No. 1. P. 72–78.
5. Acemoglu D., Restrepo P. Robots and jobs: Evidence from US labor markets. Journal of Political Economy. 2020. Vol. 128. No. 6. P. 2188–2244.
6. Acemoglu D., Autor D., Hazell J., Restrepo P. AI and Jobs: Evidence from Online Vacancies. NBER Working Paper 28257. 2020 (Revised 2022). 68 p.
7. Aghion P., Akcigit U., Deaton A., Roulet A. Creative destruction and subjective well-being. American Economic Review. 2016. Vol. 106. No. 12. P. 3869–3897.
8. Aksoy C. G., Özcan B., Philipp J. Robots and the gender pay gap in Europe. European Economic Review. 2021. No. 134. Art. 103693.
9. Alekseeva L., Azar J., Giné M., Samila S., Taska B. The demand for AI skills in the labor market. Labour Economics. 2021. Vol. 71. Iss.C.
10. Amini C., Douarin E. Corruption and life satisfaction in transition: Is corruption a social norm in Eastern Europe? Social Indicators Research. 2020. Vol. 151. No. 2. P. 723–766.
11. Autor D., Dorn D. The growth of low-skill service jobs and the polarization of the US labor market. American Economic Review. 2013. Vol. 103. No. 5. P. 1553–1597.
12. Babina T., Fedyk A., Xi He A., Hodson J. Artificial Intelligence, Firm Growth, and Industry Concentration. Unpublished manuscript. 2020. Columbia University.
13. Bago B., Bonnefon J.-F., De Neys W. Intuition rather than deliberation determines selfish and prosocial choices. Journal of Experimental Psychology: General. 2021. No. 150. P. 1081–1094.
14. Bhargava A., Bester M., Bolton L. Employees’ perceptions of the implementation of robotics, artificial intelligence, and automation (RAIA) on job satisfaction, job security and employability. Journal of Technology in Behavioral Science. 2021. No. 6. P. 106–113.
15. Mikhaylov A., Yousif N. B.A., Dincer H., Yüksel S., Karpyn Z. Analysis of the knowledge and innovation-based customer expectations for the green crypto assets in investment strategies using artificial intelligence and facial expression-based fuzzy modelling, Quality and Quantity: International Journal of Methodology. 2025. Vol. 59. No. 3. P. 2861–2890.
16. Mikhaylov A., Bhatti M. I.M. The link between DFA portfolio performance, AI financial management, GDP, government bonds growth and DFA trade volumes. Quality and Quantity: International Journal of Methodology. 2025. Vol. 59. No. 1. P. 339–356. DOI: 10.1007/s11135-024-01940-8
17. Krechko O., Mikhaylov A. Global electricity generation from renewable sources using fuzzy sets and spatial analysis: revolution in solar and wind energy in BRICS countries. Quality and Quantity: International Journal of Methodology. 2025. Vol. 59. No. 2. P. 1551–1571. DOI: 10.1007/s11135-024-02033-2
18. Rahman M. M., Mikhaylov A., Bhatti M. I.M. The impact of investment in human capital on investment efficiency: a PLS-SEM approach in the context of Bangladesh. Quality and Quantity: International Journal of Methodology. 2024. Vol. 58. No. 5. P. 4959–4986. DOI: 10.1007/s11135-024-01889-8
19. An J., Mikhaylov A. Technology-based forecasting approach for recognizing trade-off between time-to-market reduction and devising a scheduling process in open innovation management. Journal of Open Innovation: Technology, Market, and Complexity. 2024. Vol. 10. No. 1. P. 100207. DOI: 10.1016/j.joitmc.2024.100207
20. Greenhalgh S. Just One Child: Science and Policy in Deng’s China. University of California Press. 2008. 403 p.
21. Greenhalgh S., Winckler E. A. Governing China’s Population: From Leninist to Neoliberal Biopolitics. 2005. Stanford University Press. 412 p.
22. Fong V. L. China’s One-Child Policy and the empowerment of urban daughters. American Anthropologist. 2002. Vol. 104. No. 4. P. 1098–1109.
23. Das Gupta M., et al. Why is son preference so persistent in East and South Asia? A cross-country study of China, India, and the Republic of Korea. Journal of Development Studies. 2003. Vol. 40. No. 2. P. 153–187.
24. Murphy R. Fertility and distorted sex ratios in a rural Chinese county: culture, state, and policy. Population and Development Review. 2003. Vol. 29. No. 4. P. 595–626.
25. Chu J. Prenatal sex determination and sex-selective abortion in rural Central China. Population and Development Review. 2001. Vol. 27. No. 2. P. 259–281.
26. Anagnost A. A surfeit of bodies: population and the rationality of the state in post-Mao China. Conceiving the New World Order: The Global Politics of Reproduction. Eds. F. D. Ginsburg, R. Rapp. 1995. University of California Press. P. 22–41.
27. Sigley G. Liberal despotism: population planning, subjectivity, and government in contemporary China. Alternatives: Global. Local, Political. 2004. Vol. 29. No. 5. P. 557–575.
28. Gruzina Yu. M., Mel’nichuk M. V., Vasbieva D. G., Ponomareva M. A. Exploring the relationship between emotional intelligence and students’ academic performance in ESP. European Journal of Contemporary Education. 2026. Vol. 15. No. 2. P. 234-251. DOI: 10.13187/ejced.2026.2.234
29. Micallef L. O., Apresyan K. H., Plekhanova E. A., [et al.] Linguistic markers of manipulation in text-based deepfake financial discourse: a comparative study of English and Russian corpora. Scientific Culture. 2026. Vol. 12. No. 4. P. 6198-6210. DOI: 10.5281/zenodo.12426644
30. Gruzina Yu. M., Ksenofontov A. A., Ponomareva M. A., Yussuf A. A. The application of the index method in evaluating the efficiency of regional educational systems across the Russian Federation. European Journal of Contemporary Education. 2026. Vol. 15. No. 1. P. 105-115. DOI: 10.13187/ejced.2026.1.105
31. Fedorova E., Ledyaeva S, Stepanov V. The ripple effect: How fake news shapes stock market behavior. International Review of Economics & Finance. 2026. Vol. 109. P. 105386. DOI: 10.1016/j.iref.2026.105386
32. Gorelik V. A., Zolotova T. V. Method for determining the risk profile of investors based on the relationship of two stock investing problems. Finance: Theory and Practice. 2024. Vol. 28. No. 4. P. 136-143. DOI: 10.26794/2587-5671-2024-28-4-136-143
33. Berger A., Polezharova L. V. Tax on Digital Services: Assessment of the advantage of the introduction in Russia. Finance: Theory and Practice. 2023. Vol. 27. No. 1. P. 54-62. DOI: 10.26794/2587-5671-2023-27-1-54-62
Статья
Поступила: 15.03.2026
Опубликована: 29.09.2026
Форматы цитирования
Другие форматы цитирования:
APA
Михайлов, А. Ю., Хомякова, Л. И., Морковкин, Д. Е., & Войтенкова, Г. Ф. (2026). Роль производительных установок в социально-экономическом развитии страны в представлении китайских студентов. Народонаселение, 29(3), 199-211. https://doi.org/10.24412/1561-7785-2026-3-199-211
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ТРУДОВОЙ ПОТЕНЦИАЛ И РЫНОК ТРУДА
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