【摘要】：近些年來(lái),人們對(duì)生活質(zhì)量及生存環(huán)境都提出了新的要求,因此經(jīng)濟(jì)與環(huán)境的協(xié)調(diào)發(fā)展愈發(fā)重要。廣東省在2010年被國(guó)家發(fā)改委列為五省八市低碳試點(diǎn)之一,廣東省的低碳經(jīng)濟(jì)發(fā)展現(xiàn)狀引起了更多學(xué)者的關(guān)注。本文以廣東省的21個(gè)地級(jí)市為研究目標(biāo),將固定資產(chǎn)、能源消費(fèi)、勞動(dòng)力作為投入,二氧化碳作為非期望產(chǎn)出,GDP作為期望產(chǎn)出,通過(guò)環(huán)境DEA模型與Malmquist-Luenberger指數(shù)分析來(lái)研究21個(gè)市碳排放績(jī)效的靜態(tài)水平與動(dòng)態(tài)變化;進(jìn)一步將全要素生產(chǎn)率指數(shù)分解成技術(shù)效率與技術(shù)進(jìn)步兩個(gè)因子;利用面板回歸來(lái)研究產(chǎn)業(yè)結(jié)構(gòu)、能源強(qiáng)度、經(jīng)濟(jì)發(fā)展水平、對(duì)外開(kāi)放程度與城市化水平對(duì)全要素生產(chǎn)率的影響。研究結(jié)果表明:在同一生產(chǎn)前沿面上,碳排放績(jī)效靜態(tài)水平達(dá)到有效的市是廣州、深圳、珠海、汕尾、茂名與潮州;碳排放績(jī)效靜態(tài)水平較低的是清遠(yuǎn)與韶關(guān),而廣東省整體碳排放績(jī)效靜態(tài)水平較高,均在0.8以上。Malmquist-Luenberger生產(chǎn)率指數(shù)是用來(lái)測(cè)度全要素生產(chǎn)率的變化,從研究結(jié)果看廣東省總體ML生產(chǎn)率指數(shù)呈上升趨勢(shì),其中技術(shù)進(jìn)步上升而技術(shù)效率下降,技術(shù)進(jìn)步是影響全要素生產(chǎn)率的決定性因素;各區(qū)域全要素生產(chǎn)率年均增幅大小為:珠三角最大,西翼與東翼居中,山區(qū)最小,技術(shù)進(jìn)步指數(shù)年均增幅大小與全要素生產(chǎn)率增幅保持一致,技術(shù)效率指數(shù)年均增幅大小為山區(qū)與珠三角較大,東翼與西翼較小。全要素生產(chǎn)率的影響因素中產(chǎn)業(yè)結(jié)構(gòu)對(duì)珠三角呈負(fù)向影響,對(duì)東翼呈正向影響;而能源強(qiáng)度對(duì)珠三角、西翼、山區(qū)這三個(gè)區(qū)域的影響都是負(fù)向的;經(jīng)濟(jì)發(fā)展程度顯著影響珠三角、東翼、西翼與山區(qū),對(duì)其是正向促進(jìn)作用;對(duì)外開(kāi)放程度對(duì)山區(qū)是負(fù)向影響;城市化水平對(duì)珠三角、東翼、西翼都是負(fù)向影響。
[Abstract]:In recent years, people have put forward new requirements for the quality of life and living environment, so the coordinated development of economy and environment becomes more and more important. Guangdong Province was listed as one of the low carbon pilot projects in five provinces and eight cities by the National Development and Reform Commission in 2010. In this paper, 21 prefecture-level cities in Guangdong Province are taken as research targets, fixed assets, energy consumption, labor force as input, carbon dioxide as non-expected output and GDP as expected output. The static and dynamic changes of carbon emission performance in 21 cities were studied by environmental DEA model and Malmquist-Luenberger index analysis, and the total factor productivity index was further decomposed into two factors: technical efficiency and technological progress. Panel regression is used to study the effects of industrial structure, energy intensity, level of economic development, degree of opening to the outside world and level of urbanization on total factor productivity (TFP). The results show that in the same production frontier, the cities with effective static carbon emission performance are Guangzhou, Shenzhen, Zhuhai, Shanwei, Maoming and Chaozhou, while Qingyuan and Shaoguan have lower static carbon emission performance. However, the static level of overall carbon emission performance in Guangdong Province is relatively high, both above 0.8. Malmquist-Luenberger productivity index is used to measure the change of total factor productivity. The technological progress is the decisive factor affecting the total factor productivity, and the average annual increase of the total factor productivity is the largest in the Pearl River Delta, the middle in the west and the east, and the smallest in the mountainous area. The average annual growth rate of technological progress index is consistent with that of total factor productivity. The average annual growth rate of technological efficiency index is larger in mountainous area and Pearl River Delta and smaller in east and west wing. Among the influencing factors of total factor productivity, the industrial structure has a negative influence on the Pearl River Delta and a positive influence on the east wing, while the energy intensity has a negative effect on the three regions of the Pearl River Delta, the west wing and the mountainous area. The degree of economic development has a significant influence on the Pearl River Delta, the eastern wing, the west wing and the mountainous area, which is positively promoted; the degree of opening to the outside world has a negative impact on the mountain area; the urbanization level has a negative impact on the Pearl River Delta, the eastern wing and the western wing.
【學(xué)位授予單位】：哈爾濱工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類(lèi)號(hào)】：X321

【引證文獻(xiàn)】

相關(guān)會(huì)議論文 前1條

1 馬甜;;中國(guó)電力產(chǎn)業(yè)全要素生產(chǎn)率影響因素分析與金融危機(jī)背景下的結(jié)構(gòu)調(diào)整對(duì)策[A];2009年全國(guó)博士生學(xué)術(shù)會(huì)議論文集[C];2009年

，

本文編號(hào)：2142936