@article{Bempomaa:202884,
      recid = {202884},
      author = {Bempomaa, Beatrice and Acquah, Henry de-Graft},
      title = {Technical Efficiency Analysis of Maize Production:  Evidence from Ghana},
      journal = {APSTRACT: Applied Studies in Agribusiness and Commerce},
      address = {2014-09},
      number = {1033-2016-84243},
      series = {8},
      pages = {7},
      year = {2014},
      abstract = {The study applies the single-stage modelling stochastic  frontier approach to investigate the performance of maize  farmers in the
Ejura-Sekyedumase District of Ghana. It  estimates the level of technical efficiency and its  determinants for 306 maize farmers. Findings
indicated that  land, labour and fertilizer influenced output positively  whilst agrochemicals and seeds affected output negatively.  A wide
variation in output was also found among producers  of maize. The study further revealed that age, sex and  off-farm work activities were
significant determinants of  technical inefficiencies in production. Results from the  maximum likelihood estimate of the frontier model  showed
that averagely, farmers were 67% technically  efficient, implying that 33% of maize yield was not  realized. The return to scale which
measures the  productivity level of farmers was 1.22, suggesting that the  farmers are operating at an increasing returns to scale.},
      url = {http://ageconsearch.umn.edu/record/202884},
      doi = {https://doi.org/10.22004/ag.econ.202884},
}