【摘要】：近些年來,人們對生活質量及生存環(huán)境都提出了新的要求,因此經(jīng)濟與環(huán)境的協(xié)調發(fā)展愈發(fā)重要。廣東省在2010年被國家發(fā)改委列為五省八市低碳試點之一,廣東省的低碳經(jīng)濟發(fā)展現(xiàn)狀引起了更多學者的關注。本文以廣東省的21個地級市為研究目標,將固定資產(chǎn)、能源消費、勞動力作為投入,二氧化碳作為非期望產(chǎn)出,GDP作為期望產(chǎn)出,通過環(huán)境DEA模型與Malmquist-Luenberger指數(shù)分析來研究21個市碳排放績效的靜態(tài)水平與動態(tài)變化;進一步將全要素生產(chǎn)率指數(shù)分解成技術效率與技術進步兩個因子;利用面板回歸來研究產(chǎn)業(yè)結構、能源強度、經(jīng)濟發(fā)展水平、對外開放程度與城市化水平對全要素生產(chǎn)率的影響。研究結果表明:在同一生產(chǎn)前沿面上,碳排放績效靜態(tài)水平達到有效的市是廣州、深圳、珠海、汕尾、茂名與潮州;碳排放績效靜態(tài)水平較低的是清遠與韶關,而廣東省整體碳排放績效靜態(tài)水平較高,均在0.8以上。Malmquist-Luenberger生產(chǎn)率指數(shù)是用來測度全要素生產(chǎn)率的變化,從研究結果看廣東省總體ML生產(chǎn)率指數(shù)呈上升趨勢,其中技術進步上升而技術效率下降,技術進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,技術進步指數(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)結構對珠三角呈負向影響,對東翼呈正向影響;而能源強度對珠三角、西翼、山區(qū)這三個區(qū)域的影響都是負向的;經(jīng)濟發(fā)展程度顯著影響珠三角、東翼、西翼與山區(qū),對其是正向促進作用;對外開放程度對山區(qū)是負向影響;城市化水平對珠三角、東翼、西翼都是負向影響。
[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.
【學位授予單位】：哈爾濱工業(yè)大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：X321

【引證文獻】

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