-
ECONOMIC ANALYSIS OF POST HARVEST LOSSES AMONG LEAFY VEGETABLE MARKETERS
-
You can get the complete material / full content @ a service support fee of ₦4,500.00(10-USDT) only
-
- Contributor: mr-chris
- engagements: 228
- Case No: 419918pw
- Request PDF:
-
-
ABSRACT - [ Total Page(s): 1 ]The study examined economics of post harvest food losses involving three (3) varieties of leafy vegetables namely: Telfaria(Ugu leaf), Amaranthus(Green leaf ) and Pterocarpus(Oha leaf) in Idemili South Local Government Area of Anambra State. A random sampling technique was used to collect data on vegetable marketers’ socio-economic characteristics, types of post harvest losses, physical and monetary losses and the marketing margin accrued from the losses. Data were analysed with the aid of descriptive statistics (mean, percentage etc) and simple margin analysis. The result showed that w
... Continue Reading
CHAPTER ONE - [ Total Page(s): 2 ]CHAPTER ONEIntroduction1.1 Background to StudyEstimate of production losses in developing countries are usually very hard to come by. Post harvest losses in vegetable in African countries have been estimated to about 50% of the total production (FAO, 2008). This implies that half of the total production are lost during storage handling and transportation of there produce. Therefore, minimizing these losses to a barest minimum between harvest and consumption, of already produced food is more sustainable than increasing production (Kader and Rolle, 2004).Post harvest losses are measurable quanti ... Continue Reading
-
ABSRACT - [ Total Page(s): 1 ]The study examined economics of post harvest food losses involving three (3) varieties of leafy vegetables namely: Telfaria(Ugu leaf), Amaranthus(Green leaf ) and Pterocarpus(Oha leaf) in Idemili South Local Government Area of Anambra State. A random sampling technique was used to collect data on vegetable marketers’ socio-economic characteristics, types of post harvest losses, physical and monetary losses and the marketing margin accrued from the losses. Data were analysed with the aid of descriptive statistics (mean, percentage etc) and simple margin analysis. The result showed that w
... Continue Reading
-