Abstract
Among different regions of China, the development of construction industry are generating a growing gap. The persistent occurrence and excessive expansion of such differences will not only undermine the overall efficiency of the construction industry, but also not be conducive to the efficient allocation of resources. According to this, we explore gaps of production efficiency among a vast territory and its root causes with stochastic frontier production model. The research shows that regional scientific input, degree of the openness of construction market, the market ownership structure, and development level of industry are the four control variables promoting production efficiencies immensely while the human capital and the development of regional finance are not. The gaps of the production efficiencies among different regions are widening over time.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Aigner D (1997) Formulation and estimation of stochastic frontier production function models. J Econ 6(1):21–37
Allen SG (1985) Why construction industry productivity is declining. National Bureau of Economic Research, Cambridge, MA
Battese GE, Coelli TJ (1992) Frontier production functions, technical efficiency and panel data: with application to paddy farmers in India. J Product Anal 3(1):153–169
Battese GE, Coelli TJ (1995) A model for technical inefficiency effects in a stochastic frontier production function for panel data. Empir Econ 20(2):325–332
Chau K, Walker A (1988) The measurement of total factor productivity of the Hong Kong construction industry. Constr Manag Econ 6(3):209–224
Dacy DC (1965) Productivity and price trends in construction since 1947. Rev Econ Stat 47(4):406–411
Denison EF (1972) Classification of sources of growth. Rev Income Wealth 18(1):1–25
Griliches Z (1980) Returns to research and development expenditures in the private sector. In: Kendrick JW, Vaccara BN (eds) New developments in productivity measurement. UMI, Chicago
Kumbhakar S, Kumbhakar SC, Lovell CAK (2003) Stochastic frontier analysis. Cambridge University Press, Cambridge
Meeusen W, van Den Broeck J (1977) Efficiency estimation from Cobb-Douglas production functions with composed error. Int Econ Rev 18(2):435–444
National Bureau of Statistics of China (2009) Statistical communique of the People’s Republic of China on the 2009 National Economic and Social Development. Standards Press of China, Beijing, China
Pan X, Liu F (2010) Research on industrial enterprise’s innovation efficiency in China based on regional comparison. Manag Rev 22(2):59–64
Stocks HKJ (1981) An examination of the productivity decline in the construction industry. Rev Econ Stat 63(4):495–502
Zhi M, Hua GB, Wang SQ, Ofori G (2003) Total factor productivity growth accounting in the construction industry of Singapore. Constr Manag Econ 21(7):707–718
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lin, S., Hu, Zf., Liu, Gp. (2013). Empirical Study of the Production Efficiency Change of Chinese Regional Construction Industry Basing on Stochastic Frontier Analysis. In: Qi, E., Shen, J., Dou, R. (eds) Proceedings of 20th International Conference on Industrial Engineering and Engineering Management. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40072-8_43
Download citation
DOI: https://doi.org/10.1007/978-3-642-40072-8_43
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40071-1
Online ISBN: 978-3-642-40072-8
eBook Packages: Business and EconomicsBusiness and Management (R0)