Abstract
In the process of Chinese industrialization, industrialization has significantly effects on economic growth, but also poses a serious environmental problem. Under the DEA way of Directional Distance Function to make up for the deficiency of the traditional DEA model, using the directional distance function of VRS linear programming model, China’s Environmental TFP Index is evaluated. The results showed that: for the time trend, China’s industrial environmental TFP presents a dynamic process, which affected by a number of major events or policy changes; for different regions, there are some differences in unbalanced regional development, and industry TFP changes. Overall, levels of Environmental TFP Index in china are on the decline, technological advance is a key factor to improve industrial environmental TFP, technical efficiency is secondary cause.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Aigner D, Lovell CAK, Schmidt P (1977) Formulation and estimation of stochastic frontier production function models. J Econ 1(6):21–37
Meeusen W, vanden Broeck J (1977) Efficiency estimation from Cobb-Douglas production functions with composed error. Int Econ Rev 1(18):435–444
Fare R (1989) Multilateral productivity comparisons when some outputs are undesirable. Rev Econ Stat 1(1):90–98
Chung YH, Fare R, Grosskopf S (1997) Productivity and undesirable outputs: a directional distance function approach. J Environ Manage 51(3):229–240
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Gao, J., Zhang, D., Liu, H., Xu, N., Sun, W. (2015). Comprehensive Evaluation of Environmental TFP Index in China: Based on the DEA Model of Directional Distance Function. In: Li, M., Zhang, Q., Zhang, R., Shi, X. (eds) Proceedings of 2014 1st International Conference on Industrial Economics and Industrial Security. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44085-8_5
Download citation
DOI: https://doi.org/10.1007/978-3-662-44085-8_5
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-44084-1
Online ISBN: 978-3-662-44085-8
eBook Packages: Business and EconomicsEconomics and Finance (R0)