In the context of food security, market-oriented allocation factors under collective ownership system has had a profound impact on agricultural production. As hot issue Household Responsibility System (HRS), mechanism farmland market transaction production efficiency deserves discussion. Based stochastic frontier function model, this paper analyzes transfer farmers’ technical external environme...

The field of productive efficiency analysis is currently divided between two main paradigms: the deterministic, nonparametric Data Envelopment Analysis (DEA) and the parametric Stochastic Frontier Analysis (SFA). This paper examines an encompassing semiparametric frontier model that combines the DEA-type nonparametric frontier, which satisfies monotonicity and concavity, with the SFA-style stoc...

Declining yields of maize as a result of Striga infestation has necessitated a new technology known as Imazapyr-resistant maize (IRM) to contain the problem. As a result, research and development initiatives with substantial participation of the private sector to transfer this new technology to farmers have been made in western Kenya. This study therefore assesses the adoption of IRM variety an...

Food production in Nigeria is almost entirely rain fed despite the great potential of irrigation to boost agricultural productivity. The study assessed profitability and efficiency dry season irrigated okra farming Adamawa State using primary data collected from 180 farmers through a simple random sampling technique. Profit stochastic frontier function were used analyzing data. result revealed ...

Markov chain Monte Carlo (MCMC) methods have become a ubiquitous tool in Bayesian analysis. This paper implements MCMC methods for Bayesian analysis of stochastic frontier models using the WinBUGS package, a freely available software. General code for cross-sectional and panel data are presented and various ways of summarizing posterior inference are discussed. Several examples illustrate that ...