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RCR新文:中國城市綠色增長效率及其時空格局

2019-7-30 09:30 來源: RCR期刊


目前,環(huán)境保護與經(jīng)濟發(fā)展之間的矛盾已成為制約我國可持續(xù)發(fā)展的關(guān)鍵因素之一。由于粗放型的增長方式占據(jù)主導(dǎo)地位,在不到20年的時間里,中國消耗了世界能源總量的近20%。這種能源消費能力徹底地改變了全球能源供需平衡,對資源和環(huán)境產(chǎn)生了嚴峻挑戰(zhàn)。作為世界上最大的能源消費國,中國在發(fā)展經(jīng)濟的同時,也在努力保護環(huán)境,提高資源利用率。綠色增長是現(xiàn)代產(chǎn)業(yè)可持續(xù)發(fā)展的新模式,以提高資源和環(huán)境績效為核心,鼓勵產(chǎn)業(yè)集約化、低碳化、綠色化,抑制高能耗、高材耗、高污染。綠色增長理念在許多國際組織中發(fā)揮著重要作用,被認為是消除全球金融和經(jīng)濟危機的關(guān)鍵,是減少污染物排放、防止自然資源惡化和枯竭的替代策略。本研究將從經(jīng)濟增長、社會和諧、資源環(huán)境保護等方面構(gòu)建我國城市綠色增長效率評價指標體系,并為進一步提高我國綠色增長效率,實現(xiàn)區(qū)域經(jīng)濟與環(huán)境協(xié)調(diào)發(fā)展提供科學支持和政策建議。

文章亮點

(1)建立了我國城市綠色增長效率評價指標體系(2)運用經(jīng)濟學、管理學和地理學的方法和知識,對中國城市的綠色增長效率進行了測試和分析(3)分析了綠色增長效率的投入產(chǎn)出指標、綜合評價指標和時空格局(4)為區(qū)域經(jīng)濟與環(huán)境協(xié)調(diào)發(fā)展提供了現(xiàn)實參考

原文摘要

基于2005-2016年中國285個地級市的面板數(shù)據(jù),利用遙感數(shù)據(jù)和社會經(jīng)濟數(shù)據(jù)建立綠色增長效率分析數(shù)據(jù)庫。此外,TOPSIS模型、超效率SBM模型和依托熵技術(shù)的探索性空間分析方法被應(yīng)用于測試和分析投入產(chǎn)出指數(shù)、綜合評價指數(shù)、綠色增長效率的時空格局、空間相關(guān)效應(yīng)和中國城市綠色發(fā)展中心的轉(zhuǎn)移。結(jié)果表明:(1)我國城市間在資源投入、社會經(jīng)濟效益、綠色增長環(huán)境影響指數(shù)等方面存在明顯的空間差異,城市資源轉(zhuǎn)化效率低下,還有很大的提升空間。(2)2005年、2010年和2016年,我國城市綠色增長綜合評價指標先上升后下降,區(qū)域差距雖小但逐漸擴大。綠色增長效率先下降后上升,空間差異顯著。(3)2005年、2010年和2016年,中國綠色增長效率的莫蘭指數(shù)分別為0.1888、0.0745和0.0584。存在空間正相關(guān),但呈減弱趨勢,表現(xiàn)為“小集聚,大分散”。(4)2005年至2016年,中國綠色增長效率重心向西南方向移動——由遂平縣向泌陽縣、隨州市移動。研究結(jié)果可提高我國綠色增長效率,為縮小區(qū)域間的綠色增長不平衡提供科學支撐和現(xiàn)實參考。

圖1 2005-2016年中國區(qū)域綠色增長投入產(chǎn)出指數(shù)
圖2 2005-2016年中國綠色增長效率LISA集聚圖
圖3 綠色增長效率重心變化情況原文信息
AbstractBased on the panel data of 285 Chinese cities at prefecture level from 2005 to 2016, remote sensing data and socio-economic data were used to establish a green growth efficiency analysis database. Additionally, the TOPSIS model, super-efficient SBM model, and exploratory spatial analysis method supported by the entropy technology were applied to test and analyze the input-output index, comprehensive evaluation index, spatio-temporal pattern of green growth efficiency, spatial correlation effect, and the shift of the barycenter of green growth of Chinese cities. The following results were obtained: (1) There are obvious spatial differences between Chinese cities in terms of resources investment, socio-economic benefits, and environmental impact index of green growth; the efficiency of urban resource conversion is low, and there is much scope for improvement. (2) In 2005, 2010, and 2016, the comprehensive evaluation index of green growth of Chinese cities increased first and then decreased, and the regional gap was small but was gradually expanding. The green growth efficiency decreased first and then increased with significant spatial differences. (3) In 2005, 2010, and 2016, the Moran’s I of China's green growth efficiency was 0.1888, 0.0745, and 0.0584, respectively. There was a positive correlation but a weakening trend spatially, featuring “small agglomeration and large dispersion.” (4) From 2005 to 2016, the center of gravity of China’s green growth efficiency moved toward the southwest-the moving track was from Suiping County to Biyang County, and to Suizhou City. The research results could improve China’s green growth efficiency and provide scientific support and a practical reference for narrowing the imbalance of green growth between the regions.

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