A Study of Organizational Evolution in the Age of Big Data


The full article can be found by replying directly to "Organizational Evolution" in the public website.

Original title: a study of organizational evolution in the era of big data

Feng Pengcheng, School of Economics, Zhongnan University of Economics and Law

Summary of Content. Measurements of the country's potential growth rate using the production function approach indicate that it would fall to 5.6, .9 and 4.2 percent in 2030 under Scenario I, Scenario II and Scenario III, respectively, and to 4.2, 3.7 and 3.1 percent in 2049, respectively. GDP per capita would reach $19,132 and $17,289 in 2030 under Scenario I and Scenario II, respectively, crossing the high-income country threshold, and $48,536, $39,636 and $31,448 in 2049 under Scenarios I, II and III, respectively. A combination of the high-income interval method, the typical sample method and the middle third method estimates that the average level of GDP per capita in high-income countries in 2049 should be no less than US$43,800, and a conservative estimate should be no less than US$48,000, indicating that China is expected to reach the average development level of high-income countries through its efforts. The reform of the socialist market economy system should be continuously deepened to enhance the potential for economic growth in terms of both increasing factors of production and raising total factor productivity, laying the foundation for ensuring that the average level of development of high-income countries is reached and achieving the second century goal.

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This article was originally published in The Economist, Issue 3, 2018


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