本文選題：房地產(chǎn)業(yè) + 超效率DEA　； 參考：《華南理工大學(xué)》2014年碩士論文

【摘要】：房地產(chǎn)業(yè)是拉動國民經(jīng)濟增長的重要力量之一，廣東省房地產(chǎn)市場起步較早，市場化程度高，經(jīng)濟地位重要，隨著競爭的日益加劇，，提升房地產(chǎn)業(yè)的生產(chǎn)效率，謀求整個行業(yè)的健康穩(wěn)定發(fā)展，具有重要的現(xiàn)實意義。 本文梳理了房地產(chǎn)業(yè)效率的相關(guān)內(nèi)涵，介紹了測度效率參數(shù)法和非參數(shù)法，選取了我國30個省市自治區(qū)的房地產(chǎn)業(yè)投入產(chǎn)出數(shù)據(jù)，運用DEA方法橫向比較了廣東省與其他各省房地產(chǎn)業(yè)綜合技術(shù)效率、規(guī)模效率以及純技術(shù)效率。然后運用DEA超效率模型縱向分析了廣東省房地產(chǎn)業(yè)2000年—2012年生產(chǎn)效率，并利用Malmquist指數(shù)方法求出了全要素生產(chǎn)率，分析了廣東省房地產(chǎn)業(yè)相對生產(chǎn)效率動態(tài)變化狀況。最后歸納總結(jié)了我國自2003年以來的房地產(chǎn)業(yè)宏觀調(diào)控政策，發(fā)現(xiàn)廣東省相對效率值的走勢與房屋銷售面積同比指數(shù)、房屋平均售價同比指數(shù)走勢相似，均是呈現(xiàn)先上升后下降至2008年谷底，隨后從2009年開始又上升并再次下降的規(guī)律變化。 本文發(fā)現(xiàn)廣東省房地產(chǎn)業(yè)正處于規(guī)模遞減階段，超效率值為0.83，全國排位13，略高于全國相對效率中位數(shù)0.79，遠低于上海1.59的水平，同時也遜于江蘇、天津、浙江以及北京的相對效率值。通過計算廣東省2000年—2012年數(shù)據(jù)，得到生產(chǎn)效率相對有效的年份效率值排序為2010年2005年2012年2000年2003年2009年2002年，效率相對無效的年份中2008年最低，僅僅為0.74。運用Malmquist方法計算廣東省2000年—2013年的數(shù)據(jù)，發(fā)現(xiàn)這13年間的全要素生產(chǎn)率的均值為1.021，表明廣東全要素生產(chǎn)率每年以2.1%的速度增長；同時發(fā)現(xiàn)技術(shù)進步的平均增長率也為2.1%，說明全要素生產(chǎn)率的增長主要是依靠技術(shù)進步的貢獻。最后，針對廣東省相對效率值不高的問題，在對投入冗余分析的基礎(chǔ)上提出了合理控制房地產(chǎn)業(yè)投資規(guī)模，優(yōu)化產(chǎn)業(yè)結(jié)構(gòu)，改善資源配置效率，加大房地產(chǎn)業(yè)技術(shù)改造力度，將技術(shù)優(yōu)勢轉(zhuǎn)化為生產(chǎn)力以及提高房地產(chǎn)開發(fā)企業(yè)的技術(shù)管理水平的建議。
[Abstract]:The real estate industry is one of the important forces to stimulate the national economic growth. The real estate market in Guangdong Province starts early, has a high degree of marketization, and has an important economic status. With the increasing competition, the real estate industry will improve its production efficiency. Seek the healthy and stable development of the whole industry, have important realistic meaning. This paper combs the related connotation of real estate industry efficiency, introduces the parameter method and non-parameter method of measuring efficiency, and selects the input and output data of real estate industry from 30 provinces and autonomous regions of China. The comprehensive technical efficiency, scale efficiency and pure technical efficiency of real estate industry in Guangdong Province and other provinces were compared by using DEA method. Then, using the DEA superefficiency model, the paper analyzes the production efficiency of Guangdong real estate industry from 2000 to 2012, calculates the total factor productivity by using the Malmquist index method, and analyzes the dynamic change of the relative production efficiency of the real estate industry in Guangdong Province. Finally, it summarizes the macro-control policies of real estate industry in China since 2003, and finds that the trend of relative efficiency value of Guangdong Province is similar to that of housing sales area index and average house selling price index. Both showed a change of regularity that rose first, then fell to the bottom of 2008, and then rose and then fell again from 2009. This paper finds that the real estate industry in Guangdong Province is in the stage of decreasing scale, with a superefficiency value of 0.83, a national ranking of 13, slightly higher than the national median relative efficiency of 0.79, far below the level of Shanghai 1.59, and also inferior to Jiangsu and Tianjin. The relative efficiency of Zhejiang and Beijing. By calculating the data of Guangdong Province from 2000 to 2012, the ranking of the year efficiency value of relative effective production efficiency is 2010, 2005, 2000, 2003, 2009, 2002, and the year of relatively ineffective efficiency is the lowest in 2008, which is only 0.74. Using Malmquist method to calculate the data of Guangdong Province from 2000 to 2013, it is found that the average value of total factor productivity in this 13 years is 1.021, indicating that the total factor productivity of Guangdong is increasing at the rate of 2.1% per year. At the same time, it is found that the average growth rate of technological progress is also 2.1, indicating that the growth of total factor productivity mainly depends on the contribution of technological progress. Finally, aiming at the problem of low relative efficiency value in Guangdong province, the paper puts forward reasonable control of investment scale of real estate industry, optimization of industrial structure, improvement of resource allocation efficiency and enhancement of technical transformation of real estate industry based on the analysis of input redundancy. Suggestions for transforming technical advantages into productivity and improving the technical management level of real estate development enterprises.
【學(xué)位授予單位】：華南理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：F299.23

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