本文選題：能源效率　切入點(diǎn)：能源經(jīng)濟(jì)效率　出處：《重慶師范大學(xué)》2017年碩士論文

【摘要】：能源是國(guó)民經(jīng)濟(jì)發(fā)展和社會(huì)進(jìn)步的主要?jiǎng)恿?沒有能源人類難以生存,國(guó)民經(jīng)濟(jì)和社會(huì)就無(wú)法可持續(xù)發(fā)展。自改革開放以來(lái),城鄉(xiāng)面貌發(fā)生巨大改變。然而在經(jīng)濟(jì)快速發(fā)展的同時(shí),能源短缺、環(huán)境污染和溫室效應(yīng)等問(wèn)題日益嚴(yán)重,已經(jīng)對(duì)我國(guó)經(jīng)濟(jì)社會(huì)發(fā)展和人們?nèi)粘Ｉ町a(chǎn)生嚴(yán)重的負(fù)面影響。據(jù)統(tǒng)計(jì),在2016年我國(guó)CO2排放總量占全球比重達(dá)到28.21%,居世界首位。為了履行CO2減排的國(guó)際承諾,擔(dān)當(dāng)起大國(guó)責(zé)任,延遲全球氣候變化,改善中國(guó)環(huán)境質(zhì)量,緩解中國(guó)能源供需矛盾,最有效的途徑就是提高能源經(jīng)濟(jì)效率。對(duì)此,不同學(xué)者從不同角度進(jìn)行了大量有關(guān)研究,研究表明我國(guó)能源效率比發(fā)達(dá)國(guó)家低,而且具有空間分布不均衡的特征。本文運(yùn)用空間計(jì)量方法來(lái)研究省際間的能源經(jīng)濟(jì)效率空間溢出效應(yīng)及其影響因素。本文主要研究方法是:首先,采用非徑向、非角度的SBM方法對(duì)區(qū)域能源經(jīng)濟(jì)效率進(jìn)行測(cè)度;然后,采用四分圖和莫蘭指數(shù)對(duì)我國(guó)區(qū)域能源經(jīng)濟(jì)效率進(jìn)行空間分布格局與空間相關(guān)性研究;最后,采用空間計(jì)量模型對(duì)我國(guó)區(qū)域能源經(jīng)濟(jì)效率的影響因素進(jìn)行實(shí)證分析。本文實(shí)證研究主要結(jié)論如下:第一,根據(jù)區(qū)域能源經(jīng)濟(jì)效率的測(cè)算結(jié)果表明,我國(guó)能源經(jīng)濟(jì)效率的區(qū)域差異性表現(xiàn)明顯,上海、廣東、北京、天津和江蘇是我國(guó)區(qū)域能源經(jīng)濟(jì)效率最高的五個(gè)省份,而甘肅、青海、寧夏、貴州和云南等五個(gè)省份則是我國(guó)能源經(jīng)濟(jì)效率最低的五個(gè)省份。上海、廣東的能源經(jīng)濟(jì)效率在2001-2014年期間始終處于生產(chǎn)有效前沿面上,北京、天津、江蘇和浙江離生產(chǎn)有效前沿面較近,而甘肅、青海、寧夏、貴州和云南離生產(chǎn)有效前沿面較遠(yuǎn)。如果依據(jù)地理和經(jīng)濟(jì)等因素把我國(guó)分為東部、中部和西部三大區(qū)域,那么東部區(qū)域的能源經(jīng)濟(jì)效率最高,中部次之,西部最低。第二,我國(guó)區(qū)域能源經(jīng)濟(jì)效率的聚類結(jié)果表明,處在能源經(jīng)濟(jì)效率高效區(qū)的省份有北京、天津、上海、江蘇、浙江、廣東,這些省份全部屬于東部沿海經(jīng)濟(jì)發(fā)達(dá)地區(qū),中西部?jī)?nèi)陸地區(qū)全部屬于能源經(jīng)濟(jì)效率的中效區(qū)和低效區(qū)�？臻g四分圖更直觀地反映出我國(guó)區(qū)域能源經(jīng)濟(jì)效率的時(shí)空分布格局,其中,東部經(jīng)濟(jì)發(fā)的沿海省份主要處在能源經(jīng)濟(jì)效率較高的三、四級(jí)上,而中西部地區(qū)主要處在較低水平的一、二級(jí)上。局部空間散點(diǎn)圖更直觀的反映了我國(guó)能源經(jīng)濟(jì)效率的空間依賴性和空間異質(zhì)性。第三,基于空間視角,采用空間計(jì)量模型對(duì)2001-2014年期間我國(guó)30個(gè)省份能源經(jīng)濟(jì)效率的影響因素進(jìn)行實(shí)證分析,研究發(fā)現(xiàn),采用空間鄰接矩陣與空間經(jīng)濟(jì)權(quán)重矩陣得到相似結(jié)果;空間誤差模型(SEM)比空間滯后模型(SLM)更適合本文研究;在能源經(jīng)濟(jì)效率的主要影響因素中,能源消費(fèi)結(jié)構(gòu)對(duì)區(qū)域能源經(jīng)濟(jì)效率有負(fù)效應(yīng),人均國(guó)內(nèi)生產(chǎn)總值、產(chǎn)業(yè)結(jié)構(gòu)、外資利用和城鎮(zhèn)化水平對(duì)區(qū)域能源經(jīng)濟(jì)效率有促進(jìn)作用;其中,外資利用對(duì)區(qū)域能源經(jīng)濟(jì)效率影響最為顯著。
[Abstract]:Energy is the main power of national economic development and social progress, human to live without energy, national economy and society to sustainable development. Since the reform and opening up, urban and rural landscape has undergone tremendous change. However, in the rapid economic development, energy shortage, environmental pollution and greenhouse effect problems have become increasingly serious, has produced serious negative effect the development of China's economy and society and people's daily life. According to statistics, in 2016 China's total CO2 emissions accounted for the global proportion reached 28.21%, ranking first in the world. In order to fulfill the emission reduction of CO2 international commitments, to assume the responsibilities and delay of global climate change, improve the environmental quality of Chinese, ease the contradiction between energy supply and demand is the most effective way to Chinese. Is to improve energy efficiency. In this regard, different scholars have conducted a lot of studies from different angles, the results show that China's energy efficiency than the developed country A low, but also has the characteristics of uneven spatial distribution. This paper uses spatial econometric methods to study the energy efficiency of spatial spillover effect among provinces and its influencing factors. The main research method of this paper is: firstly, using non radial SBM method, non angle of regional energy economic efficiency measure; then, by four points and Moran index study on spatial distribution pattern and spatial correlation of regional energy efficiency in China; finally, the factors affecting the spatial econometric model of regional energy efficiency in China by empirical analysis. The main conclusions of this empirical study are as follows: first, according to estimates of regional energy efficiency results, regional differences in economic performance China's energy efficiency significantly, Shanghai, Guangdong, Beijing, Tianjin and Jiangsu is the regional energy efficiency of five provinces in China, the highest Gansu, Qinghai, Ningxia In summer, Guizhou and Yunnan and other five provinces is the economic efficiency of China's five provinces with the lowest energy. Shanghai, Guangdong's energy efficiency is always in the production of efficient frontier, in a period of 2001-2014 years in Beijing, Tianjin, Jiangsu and Zhejiang from the production frontier is near Gansu, Qinghai, Ningxia, Guizhou and Yunnan is the effective frontier production far. If the basis of geographical and economic factors such as the our country is divided into eastern, central and western regions of the eastern region three, so energy economic efficiency is the highest, followed by the central and western regions. Second, clustering results of regional energy efficiency in China's economy shows that in energy economic efficiency efficient area of the provinces of Beijing, Tianjin, Shanghai, Jiangsu, Zhejiang, Guangdong, these provinces all belong to the economically developed eastern coastal areas, in the suburbs and the inefficient zone in central and western inland regions all belong to energy efficiency space. Four figure more intuitively reflect the temporal and spatial pattern, the regional distribution of energy economic efficiency in our country, the economic development of the eastern coastal provinces mainly in energy efficiency is higher than three, level Four, and the central and western regions mainly in the lower level, level two. Local space plot is more intuitive reflect the economic efficiency of China's energy spatial dependence and spatial heterogeneity. Third, based on the spatial perspective, factors affecting the spatial econometric model for 2001-2014 years during the period of the 30 provinces of our country energy efficiency empirical analysis, the study found that using the adjacency matrix and weight matrix space economy got similar results; spatial error model (SEM) than the spatial lag model (SLM) is more suitable for this study; the main influencing factors of energy efficiency, energy consumption structure have a negative effect on the regional energy economic efficiency, per capita domestic Gross output, industrial structure, utilization of foreign capital and urbanization level have a positive effect on regional energy economic efficiency. Among them, the utilization of foreign capital has the most significant impact on regional energy economic efficiency.

【學(xué)位授予單位】：重慶師范大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：F426.2

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本文編號(hào)：1725515