發(fā)布時(shí)間：2018-05-20 21:17

  本文選題：空間統(tǒng)計(jì)分析 + 退耦水平��； 參考：《生態(tài)經(jīng)濟(jì)》2017年12期

【摘要】：利用T1~T13期絲綢之路經(jīng)濟(jì)帶9省份工業(yè)"三廢"、碳排放和GDP等數(shù)據(jù)計(jì)算各省份經(jīng)濟(jì)增長(zhǎng)與環(huán)境污染退耦水平,采用空間統(tǒng)計(jì)的Moran指數(shù)分析方法對(duì)退耦水平空間集聚的結(jié)構(gòu)特征與變化趨勢(shì)進(jìn)行分析。結(jié)果表明:從全局空間看,各時(shí)段9省份的退耦水平正負(fù)交替,多數(shù)未通過顯著性檢驗(yàn),存在較弱的空間自相關(guān)性,空間隨機(jī)型明顯。從局部空間看,各時(shí)段9省份的退耦水平在空間分布上呈現(xiàn)出顯著的空間離散型,表現(xiàn)為非均衡的空間分布狀態(tài)。
[Abstract]:Using the data of "three wastes", carbon emissions and GDP in nine provinces of the Silk Road Economic Belt during the T1~T13 period, the decoupling level between economic growth and environmental pollution in each province is calculated. The structural characteristics and variation trend of decoupled horizontal spatial agglomeration were analyzed by using Moran exponent analysis method of spatial statistics. The results show that the decoupling levels of 9 provinces are alternately positive and negative in the global space, most of them do not pass the significance test, and there is a weak spatial autocorrelation, and the spatial random type is obvious. From the local spatial point of view, the decoupling level of 9 provinces in each time period presents a significant spatial discrete type in spatial distribution, showing a disequilibrium spatial distribution state.
【作者單位】： 桂林電子科技大學(xué)商學(xué)院;江西財(cái)經(jīng)大學(xué)會(huì)計(jì)學(xué)院;
【基金】：國(guó)家社會(huì)科學(xué)基金項(xiàng)目“快速城市化背景下我國(guó)經(jīng)濟(jì)增長(zhǎng)低碳化路徑研究”(13BJL096) 桂林電子科技大學(xué)研究生教育創(chuàng)新計(jì)劃資助項(xiàng)目“絲綢之路經(jīng)濟(jì)帶視閾下經(jīng)濟(jì)增長(zhǎng)與環(huán)境污染動(dòng)態(tài)關(guān)系分析”(2016YJCX53)
【分類號(hào)】：F127;X22

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