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Grey Incidence Relation Analysis and Granger Causality Tests of the Income Level and Economic Growth – Case Study on Gansu Province, China

机译:收入水平与经济增长的灰色关联度分析和格兰杰因果检验—以甘肃省为例

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In order to keep the economic growing, the Chinese government released series of public policies with regard to stimulate consumption and expand domestic demand. This paper, based on the series data of GDP, Per Capita Annual Disposable Income of Urban Households (PCAD), and Per Capita Annual Net Income of Rural House-holds (PCAN) of Gansu province from 1978 to 2007, analyzed the relationship and causality of the PCAD and PCAN to GDP by using the methodologies called Grey Incidence Relation and Granger Causality Tests. The outcomes show that: the incidences relation of PCAD and PCAN to GDP are prominent, and the trend of the prominent concerning PCAD to GDP is climbing; the PCAD and PCAN are the Granger causality to GDP, which means the GDP could increase 0.7337% unit due to the 1% unit increase of PCAN. Instead, the GDP only could increase 0.4817 % unit due to the 1% unit increase of PCAD. The conclusion indicates that to improve the net income of rural households is a priority selection to stimulate the economic growth, and the governments should rethink the role of the farmers and the agriculture issue.
机译:为了保持经济增长,中国政府发布了一系列刺激消费和扩大内需的公共政策。本文基于1978年至2007年甘肃省GDP,城镇居民人均可支配收入(PCAD)和农村居民家庭人均纯收入(PCAN)的系列数据,分析了两者之间的关系和因果关系。使用称为灰色关联关系和格兰杰因果关系检验的方法对PCAD和PCAN对GDP的影响。结果表明:PCAD和PCAN与GDP的相关性显着,PCAD与GDP的相关性呈上升趋势。 PCAD和PCAN是GDP的格兰杰因果关系,这意味着由于PCAN的单位增加1%,GDP可以增加0.7337%的单位。相反,由于PCAD的单位增加1%,GDP只能增加0.4817%的单位。结论表明,提高农村家庭的纯收入是刺激经济增长的优先选择,各国政府应重新考虑农民的作用和农业问题。

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