本文選題：制造業(yè)集聚 + 服務(wù)業(yè)集聚��； 參考：《軟科學(xué)》2016年02期

【摘要】：選取HHI指數(shù)測算全國29個省市產(chǎn)業(yè)集聚程度,將全國劃分為四個區(qū)域。隨機效應(yīng)面板數(shù)據(jù)模型回歸結(jié)論表明:產(chǎn)業(yè)集聚對我國能耗強度的影響應(yīng)區(qū)分對待。制造業(yè)產(chǎn)業(yè)集聚整體上增加了中國能耗強度,服務(wù)業(yè)產(chǎn)業(yè)集聚整體上降低了中國能耗強度,各地區(qū)產(chǎn)業(yè)集聚對能耗強度影響差異性較小。穩(wěn)健性檢驗證明回歸結(jié)果基本可靠。長期來看,制造業(yè)產(chǎn)業(yè)集聚和服務(wù)業(yè)產(chǎn)業(yè)集聚對能耗強度的影響格局可能會發(fā)生逆轉(zhuǎn)。
[Abstract]:Select HHI index to calculate the degree of industrial agglomeration in 29 provinces and cities and divide the whole country into four regions. The regression results of panel data model show that the effect of industrial agglomeration on energy consumption should be treated differently. The industrial agglomeration of manufacturing industry increases the energy intensity of China as a whole, and the industrial agglomeration of service industry reduces the intensity of energy consumption in China as a whole. The influence of industrial agglomeration on energy intensity in different regions is relatively small. The robustness test proves that the regression results are basically reliable. In the long run, the influence of manufacturing industry agglomeration and service industry agglomeration on energy consumption intensity may be reversed.
【作者單位】： 安徽大學(xué)經(jīng)濟學(xué)院;
【基金】：安徽省哲學(xué)社會科學(xué)規(guī)劃項目(AHSK11-12D32) 安徽大學(xué)‘211工程’青年科學(xué)研究基金項目(SKQN1105)
【分類號】：F121.3;F206
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本文編號：2000575