本文關(guān)鍵詞： 低碳經(jīng)濟(jì) 效率RAM模型 低碳全要素生產(chǎn)率　出處：《天津大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

【摘要】：在氣候變暖、環(huán)境污染和能源危機(jī)等問(wèn)題威脅人類生存與發(fā)展的情況下，各國(guó)在應(yīng)對(duì)全球變暖問(wèn)題上達(dá)成了廣泛地共識(shí)。發(fā)展低碳經(jīng)濟(jì)要求中國(guó)必須關(guān)注資源、環(huán)境及經(jīng)濟(jì)的協(xié)調(diào)發(fā)展，將“碳排放”因素納入到經(jīng)濟(jì)發(fā)展考察系統(tǒng)中，實(shí)現(xiàn)向以低能耗、低排放為基礎(chǔ)，經(jīng)過(guò)技術(shù)與制度創(chuàng)新、資源密集型產(chǎn)業(yè)向技術(shù)密集型產(chǎn)業(yè)的轉(zhuǎn)型、清潔能源等新能源的開發(fā)與利用等各種手段實(shí)現(xiàn)經(jīng)濟(jì)發(fā)展與環(huán)境保護(hù)共贏的低碳經(jīng)濟(jì)發(fā)展模式靠攏。因此，轉(zhuǎn)型時(shí)期的中國(guó)面臨著經(jīng)濟(jì)增長(zhǎng)和節(jié)能減碳的權(quán)衡，目前對(duì)這二者協(xié)調(diào)程度的判斷是一個(gè)研究熱點(diǎn)。 本文綜合運(yùn)用DEA方法的前言研究成果——RAM模型、非參數(shù)秩和檢驗(yàn)以及收斂檢驗(yàn)方法針對(duì)中國(guó)低碳經(jīng)濟(jì)效率問(wèn)題從靜態(tài)水平和動(dòng)態(tài)演進(jìn)情況綜合考察，以對(duì)中國(guó)省際的能源、碳排放與經(jīng)濟(jì)增長(zhǎng)的均衡狀況做出全面評(píng)價(jià)。以環(huán)境技術(shù)理論為基礎(chǔ)，利用RAM模型在分別測(cè)算經(jīng)濟(jì)效率和碳排放效率的基礎(chǔ)上，，利用模型的加性結(jié)構(gòu)特征，構(gòu)建了用于測(cè)算能源、碳排放與經(jīng)濟(jì)增長(zhǎng)均衡發(fā)展?fàn)顩r，亦即低碳經(jīng)濟(jì)效率的RAM模型，并通過(guò)對(duì)松弛變量的分解分析探討了能源、碳排放和經(jīng)濟(jì)增長(zhǎng)均衡發(fā)展?fàn)顩r不佳的內(nèi)生性源泉；將序列生產(chǎn)可能性集合的假定引入到RAM模型和ML指數(shù)，從而構(gòu)建了低碳全要素生產(chǎn)率指數(shù)并對(duì)其進(jìn)行了分解分析，探討其變化的深層次原因。 本研究得出以下結(jié)論：第一，呈上升趨勢(shì)的中國(guó)低碳經(jīng)濟(jì)效率主要是由碳環(huán)境效率的改善帶來(lái)的；中國(guó)的經(jīng)濟(jì)效率、碳環(huán)境效率和低碳經(jīng)濟(jì)效率存在區(qū)域差異，呈東-中-西的梯度分布；過(guò)度投資和過(guò)度能耗是中國(guó)經(jīng)濟(jì)效率、碳排放效率和低碳經(jīng)濟(jì)效率的非效率源泉；全國(guó)、東部和西部的低碳經(jīng)濟(jì)效率表現(xiàn)出明顯的σ收斂，存在趨同性，但不能確定中部是否存在σ收斂；第二，粗放的發(fā)展方式損害了中國(guó)低碳全要素生產(chǎn)率的增長(zhǎng)，目前高額的環(huán)境成本制約著中國(guó)發(fā)展質(zhì)量的提升，中國(guó)亟待向能源、碳排放與經(jīng)濟(jì)增長(zhǎng)協(xié)調(diào)發(fā)展的低碳經(jīng)濟(jì)模式轉(zhuǎn)型；2006年之前，低碳全要素生產(chǎn)率的增長(zhǎng)主要是由地區(qū)間效率的追趕效應(yīng)推動(dòng)，而2006年后，中國(guó)出現(xiàn)了明顯的技術(shù)進(jìn)步。 研究成果的價(jià)值主要有：第一，通過(guò)基于雙重產(chǎn)出的RAM低碳經(jīng)濟(jì)效率模型的構(gòu)建實(shí)現(xiàn)了對(duì)能源、碳排放與經(jīng)濟(jì)增長(zhǎng)協(xié)調(diào)發(fā)展程度的合理判斷，形成了對(duì)低碳經(jīng)濟(jì)效率的測(cè)算體系，并通過(guò)松弛變量分解分析對(duì)非效率的來(lái)源進(jìn)行了深入考察，為探討考慮能源、碳排放情況下的經(jīng)濟(jì)增長(zhǎng)提供了新的視角。第二，本文構(gòu)建的低碳全要素生產(chǎn)率指數(shù)改進(jìn)了基于當(dāng)期生產(chǎn)可能集合的全要素生產(chǎn)率指數(shù)的測(cè)算方法，從而避免了宏觀經(jīng)濟(jì)波動(dòng)對(duì)指數(shù)計(jì)算的沖擊和對(duì)技術(shù)退步的誤判。
[Abstract]:With global warming, environmental pollution and energy crisis threatening the survival and development of mankind, countries have reached a broad consensus on how to deal with global warming. The development of a low-carbon economy requires China to pay attention to resources. With the coordinated development of environment and economy, the "carbon emission" factor is brought into the economic development investigation system, and the transformation of resource-intensive industry to technology-intensive industry is realized, which is based on low energy consumption and low emission, and through technological and institutional innovation. The development and utilization of new energy sources such as clean energy and other means to achieve win-win economic development and environmental protection low-carbon economic development model. Therefore, in the transition period, China is faced with the trade-off between economic growth and energy saving and carbon reduction. At present, the judgment of the degree of coordination between the two is a research hotspot. In this paper, DEA model, non-parametric rank sum test and convergence test are used to investigate the dynamic and static evolution of low-carbon economic efficiency in China. The equilibrium of carbon emission and economic growth is evaluated comprehensively. Based on the theory of environmental technology and the RAM model, the additive structural characteristics of the model are used to calculate the economic efficiency and carbon emission efficiency respectively. A RAM model for measuring the equilibrium development of energy, carbon emissions and economic growth, that is, low carbon economic efficiency, is constructed, and the energy source is discussed through the decomposition analysis of relaxation variables. This paper introduces the hypothesis of sequence production possibility set into RAM model and ML index to construct and decompose the low carbon total factor productivity index. The deep reason of its change is discussed. The main conclusions of this study are as follows: first, the increasing trend of China's low-carbon economic efficiency is mainly caused by the improvement of carbon environmental efficiency, and there are regional differences in China's economic efficiency, carbon environmental efficiency and low carbon economic efficiency. Overinvestment and excessive energy consumption are the non-efficiency sources of China's economic efficiency, carbon emission efficiency and low carbon economic efficiency. The low carbon economic efficiency of the whole country, the eastern and western parts of the country shows obvious 蟽 convergence. There is convergence, but it is not certain whether there is 蟽 convergence in the middle. Secondly, extensive development has damaged the growth of low carbon total factor productivity in China, and the high environmental cost is restricting the improvement of China's development quality. Before 2006, the growth of low carbon total factor productivity (TFP) was mainly driven by the catch-up effect of inter-regional efficiency, and after 2006, China needed to transform into a low-carbon economic model that coordinated the development of energy, carbon emissions and economic growth, and before 2006, the growth of low-carbon TFP was mainly driven by the catch-up effect of inter-regional efficiency. There has been marked technological progress in China. The value of the research results is as follows: first, through the construction of RAM low carbon economic efficiency model based on dual output, the reasonable judgment on the degree of coordinated development of energy, carbon emissions and economic growth is realized. A system of measuring low carbon economic efficiency is formed, and the sources of non-efficiency are investigated through relaxation variable decomposition analysis, which provides a new perspective for economic growth under the consideration of energy and carbon emissions. The low carbon total factor productivity index constructed in this paper improves the calculation method of total factor productivity index based on the possible set of production in the current period, thus avoiding the impact of macroeconomic fluctuations on index calculation and misjudgment of technological retrogression.
【學(xué)位授予單位】：天津大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：F124.5;F224

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本文編號(hào)：1518420