Double Circulation: A Growth Model for the Chinese Economy in the Next Fifteen Years

Yasinskii, V A; Kozhevnikov, M. Yu.

doi:10.1134/s1075700722010154

Cited by 7 publications

(4 citation statements)

References 9 publications

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“…15 . Отметим, что это уже вторая дорожная карта по развитию ИИ, она принята в 2022 г., предыдущая была опубликована в 2019 г. и имела пятилетний горизонт 16 .…”

Section: стратегирование сферы ии в россииunclassified

“…Целевой ориентир стратегии ИИ Китая -мировое лидерство в разработке и внедрении технологий ИИ к 2030 г. и увеличение объёма рынка ИИ до 1 трлн юаней. Искусственный интеллект -один из приоритетов развития экономики Китая на ближайшие 15 лет [16]. КНР обладает одними из самых больших возможностей в мире для получения экономических выгод в таких областях, как автоматизация производства и использование больших данных [17].…”

Section: стратегирование сферы ии в россииunclassified

“…20 декабря 2022 г. (в открытом доступе не публиковалась) 16. Дорожная карта развития «сквозной» цифровой технологии «Нейротехнологии и искусственный интеллект».…”

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Strategical Development of Artificial Intelligence Sphere: Russian and Foreign Experience

Averyanov,

Shabaeva

2023

Econ. Rev. Rus.

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Over the past five years, the topic of artificial intelligence has been at the forefront of technological development and digital transformation around the world. The importance of AI technologies for national economies is due to their potential for accelerated development and improvement of the efficiency of production and business processes in all sectors of the economy and the social sphere. Lagging behind global trends in the implementation and development of AI technologies threatens to lose scientific and technological sovereignty. As a result, most developed countries and Russia have developed and published special national strategies for the development of artificial intelligence. At the same time, the presence of a strategy is not a guarantee of achieving the development priorities of the strategized object in an effective way. The purpose of the article is to analyze strategic documents for the development of the field of artificial intelligence in Russia through cross-national comparisons to identify potential growth points and opportunities for the effective implementation of the Russian strategy. The analysis includes both a direct study of documents and comparison with similar strategies in China and the United States. As part of the study, an assessment was made of the compliance of the strategies of the three countries with the methodology of strategizing V. L. Kvint, the strengths and weaknesses of the Russian national strategy for the development of AI are highlighted, and the resource provision of national development strategies is considered. The role of staffing for the successful implementation of development strategies is substantiated. As a result of the study, the need to develop a special strategy for staffing development of the field of artificial intelligence in Russia was identified.

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Section: стратегирование сферы ии в россииunclassified

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Strategical Development of Artificial Intelligence Sphere: Russian and Foreign Experience

Averyanov,

Shabaeva

2023

Econ. Rev. Rus.

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“…The focus on the double circulation as a paradigm highlights the priorities of a new development model, in which internal circulation is tackled as the main driver of development. Internal and external circulation are used to mutually reinforce each other for achieving higher GDP growth rates (Jia, 2021) in the context of resource scarcity or restrictive environmental factors (Yasinskii & Kozhevnikov, 2022).…”

Section: Introductionmentioning

confidence: 99%

Impact of external and internal factors on China’s economic growth

Kheyfets

Chernova

2022

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Relevance. China is the dominant trading partner for many countries of the world. The new plan for the Chinese economic development in 2021–2035, based on the “double circulation” model, has become the subject of vigorous debate. Research objective. The study aims to identify China’s economic growth drivers before and during the COVID-19 pandemic and evaluate the impact of external and internal factors on China’s economic growth, taking into account future strategic changes. Data and methods. To identify the growth factors of GDP, we used a factor model based on GDP components by spending and the data provided by the State Bureau of Statistics of the PRC for 2007–2020. Results. Over the past decade, the contribution of GDP components that shape domestic demand has been steadily reduced. The decline in the share of net exports in GDP growth was replaced by the fluctuations in the external and domestic demand shares in the subsequent periods. The evaluations show that in 2020, 1% of 3.56% of China’s economic growth in GDP (in national currency) was provided by net exports and 2% of 3.56% was provided by an increase in gross capital formation. Conclusions. The increase in the contribution of net exports to GDP growth was caused not only by the growth of exports with a slowdown in the growth of imports but also by the redistribution of the shares of all factors and primarily by the sharp reduction in the share of the contribution of household expenditures to consumption. To promote domestic circulation through personal consumption, it is necessary for China to lower the savings rate, solve the problem of income inequality, and increase disposable income per capita.

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Program-Targeted Approach to the Innovative Development of Industrial Economies Under the Modern Post-COVID Conditions

Chistov

Zakutnev

Bulava

2023

Advances in Science, Technology &Amp; Innovation

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Double Circulation: A Growth Model for the Chinese Economy in the Next Fifteen Years

Cited by 7 publications

References 9 publications

Strategical Development of Artificial Intelligence Sphere: Russian and Foreign Experience

Strategical Development of Artificial Intelligence Sphere: Russian and Foreign Experience

Impact of external and internal factors on China’s economic growth

Program-Targeted Approach to the Innovative Development of Industrial Economies Under the Modern Post-COVID Conditions

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