發(fā)布時間：2018-01-07 03:03

  本文關鍵詞：我國戰(zhàn)略性新興產(chǎn)業(yè)各行業(yè)技術效率及影響因素分析　出處：《遼寧大學》2015年碩士論文　論文類型：學位論文

  更多相關文章： 技術效率 戰(zhàn)略性新興產(chǎn)業(yè) DEA模型 Tobit模型

【摘要】：自進入20世紀90年代以來,我國的經(jīng)濟實現(xiàn)了高速增長。但是08年的全球金融危機讓人們意識我國目前的粗放型的經(jīng)濟增長動力已經(jīng)不能持續(xù)的給國家經(jīng)濟注入動力。經(jīng)濟轉型、優(yōu)化產(chǎn)業(yè)結構已迫在眉睫。在此背景下我國提出發(fā)展戰(zhàn)略性新興產(chǎn)業(yè),確定重點發(fā)展產(chǎn)業(yè)為新一代信息技術、新能源、生物技術、新能源汽車、節(jié)能環(huán)保、高端裝備制造及新材料。本文基于DEA-Tobit兩階段法,從戰(zhàn)略性新興產(chǎn)業(yè)上市公司的角度對七大產(chǎn)業(yè)下細分29個行業(yè)的技術效率及影響因素進行分析。結果得出節(jié)能電力電子設備、3D領域、風電、智能電網(wǎng)、節(jié)能建材、生物醫(yī)藥、鋰電池、稀土功能材料、整車這9個行業(yè)的綜合技術效率為1,其他行業(yè)均存在不同程度的無效狀況。本文還對各公司的技術效率情況進行分析,并給出了如何提高技術效率的建議。在影響企業(yè)綜合技術效率的因素方面,本文選定資產(chǎn)負債率、企業(yè)規(guī)模、第一大股東持股、員工受教育程度和管理水平這5個指標來討論,最終通過Tobit回歸分析得出企業(yè)規(guī)模、資產(chǎn)負債率和員工受教育程度對企業(yè)的綜合技術效率有顯著性的影響,并且這三個影響因素與企業(yè)技術效率呈現(xiàn)正相關性。
[Abstract]:Since 1990s. China's economy has achieved rapid growth. But the 2008 global financial crisis has made people aware of the current extensive economic growth momentum has been unable to continue to inject power into the national economy. Economic transformation. It is urgent to optimize the industrial structure. In this context, our country proposes to develop strategic emerging industries, determine the key industries for the new generation of information technology, new energy, biotechnology, new energy vehicles, energy conservation and environmental protection. High-end equipment manufacturing and new materials. This paper is based on DEA-Tobit two-stage method. From the perspective of listed companies of strategic emerging industries, the technical efficiency and influencing factors of 29 industries subdivided under the seven major industries are analyzed. The results show that energy saving power electronic equipment can be used in 3D field, wind power generation and smart grid. Energy saving building materials, biomedicine, lithium batteries, rare earth functional materials, the vehicle of these nine industries comprehensive technical efficiency of 1. Other industries have different degrees of invalidity. This paper also analyzes the technical efficiency of each company, and gives some suggestions on how to improve the technical efficiency. This paper selects the asset-liability ratio, enterprise size, the largest shareholder shareholding, employee education level and management level to discuss these five indicators, and finally through Tobit regression analysis to get the enterprise size. The ratio of assets and liabilities and the level of employee education have a significant influence on the comprehensive technical efficiency of the enterprise, and these three factors have a positive correlation with the technical efficiency of the enterprise.
【學位授予單位】：遼寧大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：F276.44

【相似文獻】

相關期刊論文 前10條

1 孫建國;李文溥;;電力行業(yè)技術效率和全要素生產(chǎn)率增長的國際比較[J];中國經(jīng)濟問題;2003年06期

2 韓松;王穩(wěn);;幾種技術效率測量方法的比較研究[J];中國軟科學;2004年04期

3 趙玻,王連;我國汽車產(chǎn)業(yè)技術效率及其影響因素實證分析[J];生產(chǎn)力研究;2004年12期

4 曹f，

本文編號：1390689