A Generalized Maximum Entropy Stochastic Frontier Measuring Productivity Accounting for Spatial Dependency

Entropy

Axel Tonini¹ 

[1] LEI, Part of Wageningen UR, PO Box 29703, The Hague 2585 DB, The Netherlands

关键词: stochastic frontier;    spatial dependency;    generalized maximum entropy;   

DOI  :  10.3390/e13111916

来源: mdpi

【 摘 要 】

In this paper, a stochastic frontier model accounting for spatial dependency is developed using generalized maximum entropy estimation. An application is made for measuring total factor productivity in European agriculture. The empirical results show that agricultural productivity growth in Europe is driven by upward movements of technology over time through technological developments. Results are then compared for a situation in which spatial dependency in the technical inefficiency effects is not accounted.

【 授权许可】

CC BY   
© 2011 by the authors; licensee MDPI, Basel, Switzerland.