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

  Emmanuel Anobir Mensah

  Lawrence Acheampong

  Enoch Kwame Tham-Agyekum

  Views:

  339

  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.

• Comparing parametric and semiparametric error correction models for estimation of long run equilibrium between exports and imports

  19-23

  Henry De-Graft Acquah

  Lawrence Acheampong

  Views:

  291

  This paper introduces the semiparametric error correction model for estimation of export-import relationship as an alternative to the least squares approach. The intent is to demonstrate how semiparametric error correction model can be used to estimate the relationship between Ghana’s export and import within the context of a generalized additive modelling (GAM) framework. The semiparametric results are compared to common parametric specification using the ordinary least squares regression. The results from the semiparametric and parametric error correction models (ECM) indicate that the error correction term and import variable are significant determinants of Ghana’s exports. On the basis of Akaike Information Criteria and Generalized Cross-Validation (GCV) scores, it is found that the semiparametric error correction model provides a better fit than the widely used parametric error correction model for modeling Ghana’s export-import relationship. The results of the analysis of variance provide further evidence of nonlinearity in Ghana’s export and import relationship. In effect, this paper demonstrates the usefulness of semiparametric error correction model in the estimation of export – import relationship.

  JEL code: C14, C18, C22, F10, F14