本文關鍵詞：基于TFP的中國房地產(chǎn)業(yè)與建筑業(yè)工資增長比較研究　出處：《湘潭大學》2014年碩士論文　論文類型：學位論文

  更多相關文章： 全要素生產(chǎn)率 工資差距 房地產(chǎn)業(yè) 建筑業(yè)

【摘要】：隨著房地產(chǎn)市場的興起與繁榮，相關行業(yè)從業(yè)人員的收入水平也隨之不斷提高，，但是不同行業(yè)之間的收入水平存在較大的差距，行業(yè)收入不平等的現(xiàn)象日益加劇。工資是我國就業(yè)人員的主要收入來源，如果工資水平偏低，勞動者的可支配收入也較低，這不利于刺激消費。此外，行業(yè)間較大的差異容易導致社會矛盾的激發(fā)，不利于社會安定與和諧。 本文根據(jù)克拉克邊際生產(chǎn)力工資理論、馬歇爾均衡工資理論和薩繆爾森的工資理論，認為全要素生產(chǎn)率增速對工資增速有影響，工資水平?jīng)Q定于全要素生產(chǎn)率。本文首先利用DEA方法對房地產(chǎn)業(yè)和建筑業(yè)的全要素生產(chǎn)率進行估算，然后分別將兩個行業(yè)的全要素生產(chǎn)率增長對工資增長進行回歸，探索兩個行業(yè)的工資是否由全要素生產(chǎn)率拉動。 本文得出兩個重要的研究結論：一，全要素生產(chǎn)率對工資水平有相當顯著的影響，但工資變動遠遠落后于全要素生產(chǎn)率的變動。實證分析的結果顯示，在房地產(chǎn)行業(yè)，全要素生產(chǎn)率變動1%會引起工資水平反方向變動1.41%；在建筑行業(yè)，全要素生產(chǎn)率變動1%會引起工資水平反方向變動0.385%。二，兩個行業(yè)的全要素生產(chǎn)率差距對工資差距的回歸系數(shù)小于1，在5%的水平下顯著為正。這一結果說明工資差距的變動明顯慢于全要素生產(chǎn)率差距的變動，當全要素生產(chǎn)率差距縮小時，工資并沒有同步縮小，而是小于全要素生產(chǎn)率差距的縮小幅度。這個結果進一步佐證了房地產(chǎn)業(yè)的高工資并非由全要素生產(chǎn)率所決定的。 針對本文結論，筆者提出幾項對策建議：一，提高建筑業(yè)的工資水平，實現(xiàn)勞動報酬與全要素生產(chǎn)率的同步增長。二，剔除導致房地產(chǎn)業(yè)高工資的不合理因素，使行業(yè)收入分配回歸合理。
[Abstract]:With the rise and prosperity of the real estate market, income related industry practitioners also continued to increase, but the level of income among different industries there is a big gap between the industry, income inequality is increasing. The wage is a major source of income for the employment of our country, if the low level of wages, workers' disposable income low, which is not conducive to stimulating consumption. In addition, large differences between industries easily lead to social conflicts excitation, is not conducive to social stability and harmony.
According to Clark's marginal productivity theory of wages, wage Marshall equilibrium theory and Samuelson's theory of wages that TFP growth has an impact on the wage growth, wage level depends on the total factor productivity. Firstly, the total factor productivity of the real estate industry and the construction industry is estimated by using the DEA method, and then the total factor productivity of the two industries the growth of wage growth regression respectively, to explore whether the two industry wage by TFP pull.
This paper draws two important conclusions: first, the total factor productivity have a significant impact on wages, but the wage change lags behind the change of total factor productivity. The empirical analysis shows that, in the real estate industry, the change of total factor productivity of 1% will cause the wage changes in the opposite direction of the construction industry in 1.41%; the change of total factor productivity, wage level 1% will cause changes in the opposite direction of 0.385%. two, the total factor productivity gap between the two industry regression coefficient on the wage gap is less than 1, the 5% level is significantly positive. The results show that the wage gap changes significantly slower than the TFP gap changes, when the total factor the productivity gap shrinks, wages have not reduced, but less than the total factor productivity gap shrank. This result is further evidence of the real estate industry is not high wages by total factor Productivity is determined.
Aiming at the conclusion of this paper, the author puts forward several countermeasures and suggestions: first, improve the wage level of construction industry and achieve synchronous growth of labor remuneration and total factor productivity; two, eliminate unreasonable factors that lead to high wages in the real estate industry, and make the industry income distribution return to a reasonable level.

【學位授予單位】：湘潭大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：F299.23;F426.92;F249.24

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