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Vietnam adopted an economic model it formally titled the socialist-oriented market economy. This economic system is a form of mixed-economy consisting of state, private, co-operative and individual enterprises coordinated by the market mechanism. This system is intended to be transitional stage in the development of socialism.
Planned economy#Command economy To a section : This is a redirect from a topic that does not have its own page to a section of a page on the subject. For redirects to embedded anchors on a page, use {{ R to anchor }} instead .
That's fine, but the previous definition was the abstract definition used in economic theory. A pure command economy has probably never existed much like a free-market economy has never existed. Your professor most likely presented criteria for finding real-world approximations to the pure command economy of economic theory.
The unique features of Soviet-style economy were an ideologically driven attempt to build a total economic plan for the whole society, as well as unquestioned paradigm of superiority of the state socialist system. Attempts to modify or optimize the former based on pragmatic analysis of economic outcomes were hindered by the latter.
In order to more accurately reflect China's transition from a Soviet-style command economy to a socialist market economy (socialism with Chinese characteristics), the plans since the 11th Five-Year Plan for 2006 to 2010 have been referred to in Chinese as "guidelines" (Chinese: 规划; pinyin: guīhuà) instead of as "plans" (Chinese: 计划 ...
A Panda bond is a Chinese renminbi-denominated bond from a non-Chinese issuer, sold in the People's Republic of China. [1] The first two Panda bonds were issued in October 2005 on the same day by the International Finance Corporation and the Asian Development Bank. Their terms were 1.13 billion yuan of 10-year bonds at a 3.4% yield and 1 ...
However, if data is a DataFrame, then data['a'] returns all values in the column(s) named a. To avoid this ambiguity, Pandas supports the syntax data.loc['a'] as an alternative way to filter using the index. Pandas also supports the syntax data.iloc[n], which always takes an integer n and returns the nth value, counting from 0. This allows a ...
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