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China stock market capitalization, 2008-2019 Source: compiled by the authors based on the data of the Ministry of Commerce of the People's Ree public of China, 2021 and the National Bureau of Statistics of the PRC, 2021. 28

China stock market capitalization, 2008-2019 Source: compiled by the authors based on the data of the Ministry of Commerce of the People's Ree public of China, 2021 and the National Bureau of Statistics of the PRC, 2021. 28

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Figure 3. Profit of industrial enterprises, billion US dollars Source:...
Figure 4. China's public debt, % of GDP Source: compiled by the authors...
Figure 5. China's foreign trade growth, USD billion Source: compiled by...
Figure 6. China stock market capitalization, 2008-2019 Source: compiled...
What’s happening to the locomotive of the global economy, or The myths about the recovery of China
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  • Oct 2021
The COVID-19 pandemic has caused irreparable damage to all economies. Coping with the consequences by the leading players in the global economy is only expected. However, the world's leading organizations have been trumpeting about overcoming the crisis in China. The aim of the research is to analyze the current state of the Chinese economy and ans...
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... 2021, we are seeing more than just overheating. There has never been a "bubble" of this magnitude in the history of the world economy ( Figure 6). Stock market capitalization, trillion dollars Growth rate, % Where do the funds that feed this "bubble" come from? ...

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MoSER: Sustainable Development Model for the Russian Macroregion
Chapter
  • Mar 2023
The paper provides a brief introduction to the new economic model of the Russian macroregion called the model of sustainable development of the Russian economy. It is a regional sustainable development model that incorporates the main characteristics of the BRICS economy to analyze the impact of monetary policy measures and forecasting. The model of sustainable development is built on the logic of neo-Keynesian models with real and nominal rigidity. It also considers the structure of a small open economy, external (relative to the region) monetary conditions, and other factors necessary to consider the features of the BRICS economy. The model is evaluated using Bayesian methods using the data from the Organization for Economic Co-operation and Development, the Energy Information Administration, the Federal Reserve Economic Data, the Food and Agriculture Organization based on international statistics, information from the Federal State Statistics Service of the Russian Federation (Rosstat), and the Bank of Russia for Q1 2009–Q4 2020. In addition to describing the properties of the model, the authors show the model’s potential by decomposing historic and forecast data. The model allows analyzing changes in the indicators of the BRICS economy as a whole and a separate macroregion and therefore, is a valuable tool for macroeconomic analysis.
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