Efficiency measurement of industrial development zones by Stochastic Frontier Analysis

Author

Zhang, Rui ; Wang, Hong-li

Author_Institution

Sch. of Manage., Tianjin Univ., Tianjin, China

Volume

Part 1

fYear

2011

fDate

3-5 Sept. 2011

Firstpage

110

Lastpage

112

Abstract

Effective industrial development zones should have their own features to be extended. Efficiency can be measured by input and output. The areas of district, investment capital, and total employment were viewed as input variables. Profit and gross production were considered as output ones. Technical efficiencies of fifteen parks in Inner Mongolia were measured by Stochastic Frontier Analysis (SFA). Cobb Douglas cost function was used. The SFA models that were used were the error component mode. The results showed that the Otog, Munsey and Baotou zones had the highest efficiency. Their management modes could be concluded and learned from other zones.

Keywords

costing; employment; investment; manufacturing industries; organisational aspects; profitability; research and development management; Baotou zones; Cobb Douglas cost function; Munsey zones; Otog zones; efficiency measurement; error component mode; gross production; industrial development zones; investment capital; profit; stochastic frontier analysis; total employment; Economics; Educational institutions; Estimation; Input variables; Production; Stochastic processes; Sun; Industrial development zone; stochastic frontier analysis; technical efficiency;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Engineering and Engineering Management (IE&EM), 2011 IEEE 18Th International Conference on

Conference_Location

Changchun

Print_ISBN

978-1-61284-446-6

Type

conf

DOI

10.1109/ICIEEM.2011.6035117

Filename

6035117