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Multivariate Statistical Analysis of Industrial Overcapacity in Chinese Provinces

机译:中国省产业产能产量的多元统计分析

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In recent years, excess production capacity has been plagued by China's economic development, especially under the background of the new normal, excess capacity in the short term and long term will cause certain negative influence to our country economy, destroy the healthy development of the industrial structure, increase the risk of a total economic fluctuations, hinder economic growth mode transformation, reduce the quality of efficiency of economic growth. Overcapacity problem has aroused high attention, and relevant government departments have to adopt a series of measures to adjust the problem, but so far has not been effectively resolved. In this context, study the formation mechanism of excess production capacity, should have very important guiding significance. In this paper, based on multivariate statistical method, the utilization of capacity of 31 provinces in China for principal component analysis, it is concluded that the capacity utilization first reflected in terms of input and output, the second is the use of funds, and there is obvious regional difference in the capacity utilization, better utilization of capacity, economically developed provinces and eastern overall capacity utilization of the Midwest.
机译:近年来,中国经济发展的过剩产能过剩,特别是在新的正常背景下,短期和长期的产能过剩将对我国的国家经济造成一定的负面影响,摧毁工业的健康发展结构,增加总经济波动的风险,阻碍经济增长模式转型,降低经济增长效率的质量。产能过剩问题引起了高度关注,相关政府部门必须采取一系列措施来调整问题,但到目前为止还没有得到有效解决。在这种情况下,研究生产能力过剩的形成机制,应该具有非常重要的指导意义。本文基于多元统计方法,利用中国31个省份的主要成分分析,得出结论,该产能利用首先反映在投入和产出方面,第二是使用资金,而在那里是明显的区域差异,能力利用,更好地利用能力,经济开发的省份和中西部的东部整体产能利用。

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