Operational Values of Information Technology and Green Initiatives: The Stochastic Production Frontier Approach

Evaluation Factors Affecting of Risk Production in Sistan Grape Growers by using Stochastic Frontier Approach

Due to agriculture is a risky activity and risk models is important in order to analyze the behavior of farmers, hence, in this study, the factors affecting risk-taking and risk aversion is the region grape growers. Data analysis was performed by using stochastic frontier. Data gathered by questionnaires at three counties of Zabol, Hirmand and Zahak at 265 grape farmers in crop year of 2011-201...

Information Technology and Administrative Efficiency in U.S. State Governments: A Stochastic Frontier Approach

This paper aims at exploring value creation from information technologies in governments. While the majority of studies in the information systems discipline have focused on discovering IT business value in for-profit organizations, the question of whether the performance effect of IT exists in the public sector has not been extensively studied so far in either the information systems or public...

Comparative Analysis of Stochastic Frontier Partially non-parametric and Stochastic Frontier Parametric Methods Case Study: Measuring Cost Efficiency in Wheat Production in Iran

evaluation factors affecting of risk production in sistan grape growers by using stochastic frontier approach

due to agriculture is a risky activity and risk models is important in order to analyze the behavior of farmers, hence, in this study, the factors affecting risk-taking and risk aversion is the region grape growers. data analysis was performed by using stochastic frontier. data gathered by questionnaires at three counties of zabol, hirmand and zahak at 265 grape farmers in crop year of 2011-201...

An Information Theoretic Approach to Flexible Stochastic Frontier Models

Parametric stochastic frontier models have a long history in applied production economics, but the class of tractible parametric models is relatively small. Consequently, researchers have recently considered non–parametric alternatives such as kernel density estimators, functional approximations, and data envelopment analysis (DEA). The purpose of this paper is to present an information theoret...