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Empirical Analysis on the Factors Affecting the Development of Green Economy in Guizhou Province, China

机译:影响贵州绿色经济发展因素的实证分析

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In this paper, multiple linear regression models were used to analyze the factors of affecting Green economic development in Guizhou Province, China and to identify the weight of all the factors. Indicator of Green economic growth is the per capita GDP of Guizhou Province. The arguments are per capita energy, industrial wastewater emissions and industrial solid waste utilization. This paper uses these factors to establish multiple linear regression models, uses E-views software to analyze these three elements, and draws the relationship and affection of the factors on the development of the green economy. Per capita energy and utilization rate of industrial solid waste have a significant positive effect on the green economic growth in Guizhou Province. Industrial waste water emissions have a negative effect on green economic growth. Finally, this essay provides a theoretical basis and reference recommendations to the green economic growth in Guizhou province.
机译:在本文中,使用多元线性回归模型来分析贵州省绿色经济发展的因素,并确定所有因素的重量。绿色经济增长指标是贵州省人均GDP。争论是人均能源,工业废水排放和工业固体废物利用。本文利用这些因素来建立多元线性回归模型,使用电子观点软件来分析这三个要素,并提高了绿色经济发展的关系和情感。工业固体废物的人均能源和利用率对贵州省的绿色经济增长具有显着的积极作用。工业废水排放对绿色经济增长产生负面影响。最后,本文向贵州省绿色经济增长提供了理论基础和参考建议。

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