本文關(guān)鍵詞： 綠色全要素生產(chǎn)率 隨機(jī)前沿分析 超越對(duì)數(shù)生產(chǎn)函數(shù) 要素配置效率　出處：《復(fù)旦大學(xué)》2013年碩士論文　論文類型：學(xué)位論文

【摘要】：本文使用隨機(jī)前沿分析模型(SFA),并在超越對(duì)數(shù)形式的生產(chǎn)函數(shù)中引入勞動(dòng)、資本存量、能源消費(fèi)和二氧化碳排放等四個(gè)投入要素,試圖通過(guò)探索綠色全要素生產(chǎn)率(TFP)增長(zhǎng)率的分解來(lái)洞察我國(guó)改革開(kāi)放以來(lái)工業(yè)行業(yè)的技術(shù)進(jìn)步(TC),技術(shù)效率變化(TEC),規(guī)模效率(SEC)和要素配置效率(AEC)的變化趨勢(shì)以及最終獲得TFP的增長(zhǎng)軌跡；研究發(fā)現(xiàn)我國(guó)工業(yè)綠色TFP增長(zhǎng)率從九十年代初開(kāi)始都有顯著增長(zhǎng),技術(shù)進(jìn)步和要素配置效率是TFP增長(zhǎng)的主要源泉；加入了能耗和排放的四要素模型相比傳統(tǒng)的兩要素模型的TFP增長(zhǎng)率的要低一些,同時(shí)技術(shù)進(jìn)步、技術(shù)效率改變和規(guī)模效率也較低,僅有要素配置效率在四要素模型中更顯著；資本存量的投入增長(zhǎng)有助于提高產(chǎn)出的增長(zhǎng),不過(guò)這種促進(jìn)作用已經(jīng)逐漸降低甚至消失；能源消費(fèi)的投入增長(zhǎng)雖然對(duì)產(chǎn)出的增長(zhǎng)也有促進(jìn)作用,然而由此帶來(lái)的二氧化碳排放的負(fù)產(chǎn)出彈性效應(yīng)卻完全抵消了這種促進(jìn)作用,因此只有注重集約的發(fā)展方式才能給經(jīng)濟(jì)增長(zhǎng)帶來(lái)長(zhǎng)久、可持續(xù)的動(dòng)力。
[Abstract]:In this paper, a stochastic frontier analysis model is used, and four input elements, including labor, capital stock, energy consumption and carbon dioxide emissions, are introduced into the production function beyond logarithmic form. This paper attempts to explore the decomposition of the growth rate of green total factor productivity (TFP) to gain insight into the technological progress, technical efficiency change, scale efficiency and factor allocation efficiency (AECs) of the industrial industry since the reform and opening up in China. Finally, the growth trajectory of TFP was obtained. It is found that the green TFP growth rate of China industry has increased significantly since the beginning of 90s, and technological progress and factor allocation efficiency are the main sources of TFP growth. Compared with the traditional two-factor model, the TFP growth rate of the four-factor model with energy consumption and emission is lower than that of the traditional two-factor model. At the same time, the technological progress, the technical efficiency change and the scale efficiency are also lower, and only the factor allocation efficiency is more significant in the four-factor model. Investment growth in capital stocks has helped to increase output growth, although this contribution has gradually diminished or even disappeared; while input growth in energy consumption has contributed to output growth, However, the negative output elasticity of carbon dioxide emissions can completely offset this effect. Therefore, only by focusing on intensive development can economic growth be sustained and sustained.
【學(xué)位授予單位】：復(fù)旦大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2013
【分類號(hào)】：F124;F224

【參考文獻(xiàn)】

相關(guān)期刊論文 前6條

1 干春暉;鄭若谷;;中國(guó)工業(yè)生產(chǎn)績(jī)效:1998-2007——基于細(xì)分行業(yè)的推廣隨機(jī)前沿生產(chǎn)函數(shù)的分析[J];財(cái)經(jīng)研究;2009年06期

2 沈可挺;龔健健;;環(huán)境污染、技術(shù)進(jìn)步與中國(guó)高耗能產(chǎn)業(yè)——基于環(huán)境全要素生產(chǎn)率的實(shí)證分析[J];中國(guó)工業(yè)經(jīng)濟(jì);2011年12期

3 涂正革;肖耿;;環(huán)境約束下的中國(guó)工業(yè)增長(zhǎng)模式研究[J];世界經(jīng)濟(jì);2009年11期

4 李雙杰;王林;范超;;統(tǒng)一分布假設(shè)的隨機(jī)前沿分析模型[J];數(shù)量經(jīng)濟(jì)技術(shù)經(jīng)濟(jì)研究;2007年04期

5 岳書(shū)敬;劉富華;;環(huán)境約束下的經(jīng)濟(jì)增長(zhǎng)效率及其影響因素[J];數(shù)量經(jīng)濟(jì)技術(shù)經(jīng)濟(jì)研究;2009年05期

6 王爭(zhēng);史晉川;;轉(zhuǎn)型時(shí)期中國(guó)工業(yè)生產(chǎn)績(jī)效的地區(qū)差異及波動(dòng)性的解釋——基于隨機(jī)前沿生產(chǎn)函數(shù)的分析[J];世界經(jīng)濟(jì)文匯;2007年04期

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