Search

Search Results

• Comparing ols and rank-based estimation techniques for production analysis: An application to Ghanaian maize farms.

  125-130

  Henry De-Graft Acquah

  Views:

  315

  This paper introduces the rank-based estimation method to modelling the Cobb-Douglas production function as an alternative to the least squares approach. The intent is to demonstrate how a nonparametric regression based on a rank-based estimator can be used to estimate a Cobb-Douglas production function using data on maize production from Ghana. The nonparametric results are compared to common parametric specification using the ordinary least squares regression. Results of the study indicate that the estimated coefficients of the CobbDouglas Model using the Least squares method and the rank-based regression analysis are similar. Findings indicated that in both estimation techniques, land and Equipment had a significant and positive influence on output whilst agrochemicals had a significantly negative effect on output. Additionally, seeds which also had a negative influence on output was found to be significant in the robust rank-based estimation, but insignificant in the ordinary least square estimation. Both the least squares and rank-based regression suggest that the farmers were operating at an increasing returns to scale. In effect this paper demonstrate the usefulness of the rank-based estimation in production analysis.

  JEL CODE: Q18, D24, Q12, C1 and C67

• SOCIOECONOMIC DETERMINANTS OF THE INTENSITY OF MUSHROOM COMMERCIALISATION IN GREATER ACCRA REGION, GHANA

  Emmanuel Anobir Mensah

  Lawrence Acheampong

  Enoch Kwame Tham-Agyekum

  Views:

  385

  Fungi, such as mushrooms, have the unique ability to decompose and convert obstinate organic substances into protein, thereby improving nutrition, increasing food security, fostering sustainable agricultural production, and generating income for farmers. Since the 1990s, the Ghanaian government, through the Mushroom Unit of the Food Research Institute of Ghana, has promoted the cultivation and commercialization of (oyster) mushrooms in Ghana as an additional source of income for the urban poor. This study used a cross-sectional survey design, questionnaires, and validated structured interview schedule instruments to collect data from 153 mushroom farmers in the Ga East and Adentan Municipalities of the Greater Accra Region to determine the intensity, degree, characterisation, and factors that influence the intensity of oyster mushroom. The Crop Commercialization Index, frequency, mean, standard deviation, Two Stage Least Square regression and Ordinary Least Square regression were used to analyze the data. The results showed a low intensity (GHC 10202.20) but a high degree (75%)of oyster mushroom commercialization in the study area. The vast majority of oyster mushroom farmers (95%) were highly commercialized, selling more than half of their oyster mushroom output. Except for age, farmers' level of formal education, land ownership, and production volume of oyster mushroom all positively influenced the intensity of oyster mushroom commercialization. The Food Research Institute, the Ministry of Food and Agriculture, and development organizations should step up efforts to increase oyster mushroom production and attract educated, young, and unemployed people to oyster mushroom ventures.