發(fā)布時(shí)間：2018-05-31 01:37

  本文選題：鋼鐵行業(yè) + 數(shù)據(jù)包絡(luò)分析��； 參考：《重慶工商大學(xué)》2017年碩士論文

【摘要】：鋼鐵行業(yè)作為國民經(jīng)濟(jì)的重要產(chǎn)業(yè),在長期的經(jīng)濟(jì)建設(shè)過程中,支撐和保障了相關(guān)產(chǎn)業(yè)的發(fā)展,強(qiáng)有力地推動(dòng)我國工業(yè)化和現(xiàn)代化進(jìn)程。當(dāng)前我國處于建設(shè)制造強(qiáng)國的開局階段,也是鋼鐵行業(yè)供給側(cè)改革的關(guān)鍵時(shí)期。因此,測度我國鋼鐵行業(yè)的全要素生產(chǎn)率的變動(dòng)情況,分析并找出影響其效率和生產(chǎn)率的有關(guān)因素,針對性地提出相關(guān)的對策建議,對于我國鋼鐵行業(yè)擺脫目前的發(fā)展困境,顯得十分迫切,是值得關(guān)注并深入研究的重要課題。文章首先對鋼鐵行業(yè)效率與生產(chǎn)率的有關(guān)文獻(xiàn)進(jìn)行梳理,接著分析鋼鐵行業(yè)的現(xiàn)狀及存在的問題。然后,基于省級面板數(shù)據(jù),構(gòu)建相應(yīng)的投入產(chǎn)出指標(biāo)體系,通過DEA模型對28個(gè)省市鋼鐵行業(yè)的效率和生產(chǎn)率進(jìn)行測度研究。最后,選取相關(guān)的指標(biāo)因素,運(yùn)用回歸方法分析這些因素對鋼鐵行業(yè)的作用力度和影響方向。經(jīng)研究發(fā)現(xiàn):第一,整個(gè)鋼鐵行業(yè)的技術(shù)效率比較低。從不同區(qū)域來看,東部地區(qū)在技術(shù)效率層面有明顯的優(yōu)勢。排名前15位的省市中,東部地區(qū)的10個(gè)省市全都包含在內(nèi),中部地區(qū)有4個(gè)省市,而西部地區(qū)只有1個(gè)省市。第二,通過BCC模型分解技術(shù)效率發(fā)現(xiàn),鋼鐵行業(yè)技術(shù)效率偏低的主要原因在于純技術(shù)效率導(dǎo)致的。規(guī)模效率雖然沒有達(dá)到生產(chǎn)前沿面上,但是絕大多數(shù)省市表現(xiàn)出了規(guī)模報(bào)酬遞增的趨勢,這表明鋼鐵行業(yè)是存在一定的規(guī)模效應(yīng)的。第三,我國鋼鐵行業(yè)全要素生產(chǎn)率的均值為1.076,年均增長7.6%,技術(shù)進(jìn)步指數(shù)年均增長9.4%。除個(gè)別省份外,所有省市的生產(chǎn)率是增長的,主要得益于技術(shù)進(jìn)步有效。第四,選取的影響因素指標(biāo)有一個(gè)未通過檢驗(yàn),其余指標(biāo)在不同程度上都通過了顯著性檢驗(yàn),說明這些因素與全要素生產(chǎn)率存在顯著性關(guān)系。但是有個(gè)別指標(biāo)呈負(fù)相關(guān),意味著在推動(dòng)全要素生產(chǎn)率上并沒有起到促進(jìn)作用。最后,根據(jù)研究的結(jié)論,提出了相應(yīng)的對策建議:(1)以創(chuàng)新為驅(qū)動(dòng)突破鋼鐵行業(yè)發(fā)展瓶頸(2)以可控的方式實(shí)現(xiàn)行業(yè)的去產(chǎn)能(3)以兼并重組來提高產(chǎn)業(yè)集中度。
[Abstract]:As an important industry of national economy, iron and steel industry supports and guarantees the development of related industries in the process of long-term economic construction, and strongly promotes the industrialization and modernization process of our country. At present, our country is at the beginning stage of building a powerful manufacturing country, which is also the key period of supply-side reform of steel industry. Therefore, to measure the change of total factor productivity of China's iron and steel industry, to analyze and find out the relevant factors that affect its efficiency and productivity, and to put forward relevant countermeasures and suggestions, in order to extricate China's iron and steel industry from the current predicament of development. Appear very urgent, is worthy of attention and in-depth study of an important subject. This paper firstly combs the literatures on efficiency and productivity of iron and steel industry, and then analyzes the present situation and existing problems of steel industry. Then, based on provincial panel data, the corresponding input-output index system is constructed, and the efficiency and productivity of steel industry in 28 provinces and cities are measured by DEA model. Finally, the influence of these factors on iron and steel industry is analyzed by regression method. The research found that: first, the technical efficiency of the whole steel industry is relatively low. From different regions, the eastern region has obvious advantages in terms of technical efficiency. Of the top 15 provinces and cities, 10 are in the east, four in the central region and only one in the west. Secondly, the technical efficiency of iron and steel industry is mainly caused by pure technical efficiency, which is found by BCC model decomposition technology efficiency. Although the scale efficiency does not reach the production front, most provinces and cities show the increasing trend of scale returns, which indicates that there is a certain scale effect in the steel industry. Third, the average value of total factor productivity (TFP) of China's iron and steel industry is 1.076, with an average annual growth of 7.6%, and an average annual growth of 9.4% of the technological progress index. Productivity has increased in all provinces except individual provinces, largely thanks to effective technological progress. Fourth one of the selected influencing factors has failed the test and the others have passed the significance test to varying degrees indicating that these factors have a significant relationship with total factor productivity. However, a few indicators are negatively correlated, meaning that TFP has not been promoted. Finally, according to the conclusion of the research, the paper puts forward the corresponding countermeasures and suggestions: 1) to take innovation as the driving force to break through the bottleneck of iron and steel industry development (2) to realize the deproductivity of the steel industry in a controllable way) to increase the degree of industrial concentration by annexation and reorganization.
【學(xué)位授予單位】：重慶工商大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：F224;F426.31

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 馬軍;竇超;;我國鋼鐵行業(yè)產(chǎn)能利用率的測度及產(chǎn)能過剩影響因素分析[J];經(jīng)濟(jì)問題;2017年02期

2 李凌云;;我國鋼鐵企業(yè)全要素生產(chǎn)率的實(shí)證研究[J];時(shí)代金融;2014年36期

3 史紅亮;陳凱;;我國鋼鐵行業(yè)全要素能源效率實(shí)證分析——基于省際面板數(shù)據(jù)[J];經(jīng)濟(jì)問題;2011年09期

4 韓一杰;劉秀麗;;基于超效率DEA模型的中國各地區(qū)鋼鐵行業(yè)能源效率及節(jié)能減排潛力分析[J];系統(tǒng)科學(xué)與數(shù)學(xué);2011年03期

5 陳凱;史紅亮;;中國鋼鐵行業(yè)全要素生產(chǎn)效率實(shí)證分析[J];經(jīng)濟(jì)問題;2011年01期

6 劉和東;;中國工業(yè)企業(yè)的全要素生產(chǎn)率及其影響因素分析[J];統(tǒng)計(jì)與決策;2010年13期

7 李春頂;;中國制造業(yè)行業(yè)生產(chǎn)率的變動(dòng)及影響因素——基于DEA技術(shù)的1998～2007年行業(yè)面板數(shù)據(jù)分析[J];數(shù)量經(jīng)濟(jì)技術(shù)經(jīng)濟(jì)研究;2009年12期

8 李盡法;吳育華;潘海生;;基于Malmquist指數(shù)的鋼鐵企業(yè)效率測度分析[J];北京理工大學(xué)學(xué)報(bào)(社會(huì)科學(xué)版);2008年03期

9 王海;;中國鋼鐵工業(yè)技術(shù)創(chuàng)新能力與效率變化研究[J];工業(yè)技術(shù)經(jīng)濟(jì);2007年02期

10 譚英平;;中國鋼鐵工業(yè)出口競爭力的國際比較[J];蘭州學(xué)刊;2006年08期

相關(guān)博士學(xué)位論文 前3條

1 劉玉瀛;我國鋼鐵業(yè)的并購重組、市場結(jié)構(gòu)及產(chǎn)業(yè)效率研究[D];南開大學(xué);2012年

2 夏紹模;中國鋼鐵產(chǎn)業(yè)的效率與生產(chǎn)率研究[D];重慶大學(xué);2009年

3 趙昌旭;中國鋼鐵產(chǎn)業(yè)組織研究[D];華中科技大學(xué);2006年

相關(guān)碩士學(xué)位論文 前6條

1 容莉莉;基于省際面板數(shù)據(jù)的中國鋼鐵行業(yè)全要素能源效率研究[D];華南理工大學(xué);2013年

2 陳業(yè);我國鋼鐵行業(yè)效率研究及影響因素分析[D];華東政法大學(xué);2012年

3 何德;我國鋼鐵產(chǎn)業(yè)技術(shù)效率及其影響因素實(shí)證研究[D];北京科技大學(xué);2010年

4 王亞;我國鋼鐵主營業(yè)上市公司生產(chǎn)效率分析[D];山東大學(xué);2009年

5 郭海艦;基于鋼鐵上市公司的鋼鐵產(chǎn)業(yè)效率研究[D];湖南大學(xué);2008年

6 陳舸;基于省際面板數(shù)據(jù)的中國鋼鐵工業(yè)生產(chǎn)效率研究[D];中南大學(xué);2007年

，

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