本文選題：新能源上市公司　切入點(diǎn)：數(shù)據(jù)包絡(luò)分析　出處：《五邑大學(xué)》2013年碩士論文

【摘要】：能源產(chǎn)業(yè)作為國民經(jīng)濟(jì)發(fā)展的重要基礎(chǔ)產(chǎn)業(yè)之一,是支撐經(jīng)濟(jì)增長的基本要素。但由{于傳統(tǒng)經(jīng)濟(jì)發(fā)展模式過度依賴石化能源的消耗,使能源短缺和環(huán)境惡化問題日益嚴(yán)重。在此背景下大力發(fā)展新能源產(chǎn)業(yè)已成為熱點(diǎn),中國新能源產(chǎn)業(yè)進(jìn)入快速發(fā)展階段,新能源技術(shù)不斷進(jìn)步,產(chǎn)業(yè)規(guī)模不斷擴(kuò)大,一系列政府支持政策也促進(jìn)了新能源上市公司的快速發(fā)展。但同時(shí)中國新能源上市公司蓬勃發(fā)展的背后也存在諸多不足：自主知識(shí)產(chǎn)權(quán)的核心技術(shù)缺失、產(chǎn)業(yè)集約化程度低、產(chǎn)品趨于同質(zhì)化嚴(yán)重、產(chǎn)品附加價(jià)值低,產(chǎn)品生產(chǎn)成本高,缺乏市場(chǎng)競(jìng)爭(zhēng)力。因此無論從投資者角度還是新能源上市公司自身,都應(yīng)注重新能源上市公司效率,從效率角度出發(fā)考察新能源上市公司經(jīng)營現(xiàn)狀并分析其運(yùn)營效率影響因素,對(duì)提高新能源上市公司競(jìng)爭(zhēng)力和加速中國新能源產(chǎn)業(yè)的發(fā)展具有重要的現(xiàn)實(shí)意義。 本文選擇數(shù)據(jù)包絡(luò)分析法(DEA)以及基于DEA的Malmquist指數(shù)方法,分別構(gòu)建了中國新能源上市公司靜態(tài)效率模型(包括技術(shù)效率及其分解——規(guī)模效率和純技術(shù)效率)和動(dòng)態(tài)效率模型(包括全要素生產(chǎn)率變化指數(shù)及其分解——技術(shù)進(jìn)步指數(shù)和技術(shù)效率變化指數(shù)),從靜態(tài)和動(dòng)態(tài)雙維度視角出發(fā)對(duì)中國60家新能源上市公司2006-2011年間的效率變動(dòng)進(jìn)行了測(cè)度,分析效率水平演化趨勢(shì),并且比較了不同類型新能源上市公司之間的效率差異性。在實(shí)證分析所得的新能源上市公司效率的基礎(chǔ)上,文章進(jìn)一步分析了影響新能源上市公司效率的影響因素,并構(gòu)建Tobit面板計(jì)量模型,解釋了效率影響機(jī)制。 研究結(jié)果表明：(1)從新能源上市公司技術(shù)效率總體狀況來看,2006-2011年間中國新能源上市公司的技術(shù)效率總體平均值為0.837,且在樣本研究期間新能源上市公司技術(shù)效率呈現(xiàn)先上升后下降趨勢(shì)。(2)從不同類型新能源上市公司效率的差異性分析來看,氫能、核能、LED綠色照明這3種類型上市公司的技術(shù)效率水平要高于太陽能、風(fēng)能、生物質(zhì)能類上市公司。造成生物質(zhì)能類上市公司技術(shù)效率水平不佳的主要原因是規(guī)模效率低下。(3)從新能源上市公司在2006-2011年間動(dòng)態(tài)效率變化來看,全要素生產(chǎn)率總體來說略有上升,平均增長1.5個(gè)百分點(diǎn)。技術(shù)進(jìn)步是中國新能源上市公司全要素生產(chǎn)率小幅上升的主要原因,技術(shù)效率的下降在一定程度上限制了全要素生產(chǎn)率的提升幅度。(4)從新能源上市公司技術(shù)效率的影響機(jī)制來看,新能源上市公司技術(shù)效率與股權(quán)集中度顯著正相關(guān),且第一大股東性質(zhì)為非國有法人上市公司的技術(shù)效率要高于第一大股東性質(zhì)為國有法人上市公司的技術(shù)效率。上市公司規(guī)模以及公司大專及以上學(xué)歷員工比例與上市公司技術(shù)效率負(fù)相關(guān),但不顯著。最后在實(shí)證分析的基礎(chǔ)上提出了改善新能源上市公司效率的建議。
[Abstract]:As one of the important basic industries in the development of national economy, energy industry is the basic factor to support economic growth. Under this background, vigorously developing new energy industry has become a hot spot. China's new energy industry has entered a stage of rapid development, new energy technology is constantly advancing, and the scale of new energy industry is constantly expanding. A series of government support policies have also promoted the rapid development of new energy listed companies. But at the same time, there are many shortcomings behind the vigorous development of new energy listed companies in China: the lack of core technology of independent intellectual property rights, the low degree of industrial intensification, Products tend to be homogenized, with low added value, high production costs and lack of market competitiveness. Therefore, whether from the perspective of investors or from the perspective of new energy listed companies, they should pay attention to the efficiency of new energy listed companies. From the point of view of efficiency, it is of great practical significance to investigate the current situation of new energy listed companies and analyze the influencing factors of their operation efficiency, which will improve the competitiveness of new energy listed companies and accelerate the development of China's new energy industry. In this paper, we choose data Envelopment Analysis (DEA) and Malmquist exponent method based on DEA. The static efficiency model (including technical efficiency and its decomposition-scale efficiency and pure technical efficiency) and the dynamic efficiency model (including total factor productivity change index and its decomposition-technology) are constructed respectively. The progress index and the technical efficiency change index are used to measure the efficiency changes of 60 new energy listed companies in China from 2006 to 2011 from the static and dynamic perspectives. This paper analyzes the evolution trend of efficiency level, and compares the efficiency differences among different types of new energy listed companies. This paper further analyzes the factors that affect the efficiency of listed companies of new energy, and constructs the Tobit panel econometric model to explain the mechanism of efficiency impact. The research results show that the overall technical efficiency of new energy listed companies is 0.837 from 2006 to 2011, and the technical efficiency of new energy listed companies in the sample period is 0.837. From the analysis of the differences in efficiency of listed companies of different types of new energy, Hydrogen, nuclear energy, LED green lighting, these three types of listed companies have higher technical efficiency than solar, wind, The main reason for the low level of technical efficiency of bioenergy listed companies is the inefficiency of scale.) from the perspective of the dynamic efficiency changes of new energy listed companies between 2006 and 2011, Overall, total factor productivity (TFP) rose slightly, with an average increase of 1.5 percentage points. Technological progress was the main reason for the slight increase in TFP of China's new energy listed companies. The decline of technical efficiency limits to a certain extent the increase of total factor productivity (TFP) from the perspective of the mechanism of technical efficiency of new energy listed companies, the technical efficiency of new energy listed companies is significantly positively correlated with the degree of equity concentration. The technical efficiency of the listed company with the largest shareholder is higher than that of the listed company with the largest shareholder. The scale of the listed company and the proportion of the employees with college degree or above of the listed company are higher than those of the listed company with the largest shareholder. The technical efficiency of listed companies is negatively correlated, In the end, some suggestions are put forward to improve the efficiency of new energy listed companies on the basis of empirical analysis.
【學(xué)位授予單位】：五邑大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2013
【分類號(hào)】：F272;F426.2

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 劉玉海;呂坤;;中國釀酒業(yè)上市公司的效率特征及其影響因素分析——基于DEA-Tobit兩階段模型[J];財(cái)經(jīng)論叢;2010年02期

2 汪旭暉;徐健;;基于超效率CCR-DEA模型的我國物流上市公司效率評(píng)價(jià)[J];財(cái)貿(mào)研究;2009年06期

3 余泳澤;武鵬;;我國物流產(chǎn)業(yè)效率及其影響因素的實(shí)證研究——基于中國省際數(shù)據(jù)的隨機(jī)前沿生產(chǎn)函數(shù)分析[J];產(chǎn)業(yè)經(jīng)濟(jì)研究;2010年01期

4 刁懷宏;;新能源上市公司資金使用效率實(shí)證研究[J];廣東外語外貿(mào)大學(xué)學(xué)報(bào);2011年03期

5 楊家兵;吳利華;;基于DEA的鋼鐵行業(yè)上市公司效率評(píng)價(jià)[J];工業(yè)技術(shù)經(jīng)濟(jì);2006年02期

6 孫兆斌;;股權(quán)集中、股權(quán)制衡與上市公司的技術(shù)效率[J];管理世界;2006年07期

7 劉小玄;競(jìng)爭(zhēng)市場(chǎng)上的國有企業(yè)行為——關(guān)于微利企業(yè)的案例研究報(bào)告[J];管理世界;1998年01期

8 馮梅;王之泉;;基于上市公司數(shù)據(jù)的中國鋼鐵產(chǎn)業(yè)產(chǎn)能效率分析[J];管理學(xué)報(bào);2012年03期

9 張寶友;達(dá)慶利;黃祖慶;;基于AHP/DEA模型的上市物流公司績(jī)效評(píng)價(jià)[J];工業(yè)工程與管理;2008年05期

10 陳波;陳靚;;美國新能源政策及對(duì)中國新能源產(chǎn)業(yè)的影響[J];國際展望;2012年01期

相關(guān)博士學(xué)位論文 前1條

1 管延德;中國農(nóng)業(yè)上市公司前沿效率評(píng)價(jià)及影響因素研究[D];沈陽農(nóng)業(yè)大學(xué);2011年

，

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