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• A comparative analysis of the profitability of pineapple-mango blend and pineapple fruit juice processing in Ghana

  33-42

  Michael K. Asante

  John K. M. Kuwornu

  Views:

  391

  This study analyzes the profitability of fruit juice processing using data from Kudors Fruit Juice Limited at Kasoa in Ghana. The cost involved in fruit juice processing (which includes the capital cost and the operating cost) was obtained from the Company. This study compares the profitability of blend (i.e. fruit juice made up of pineapple and mango blend) with that of pineapple juice alone. The viability of the project was determined using the discounted measures of project worth: Benefit-Cost Ratio (BCR), Net Present Value (NPV) and Internal Rate of Return (IRR). The empirical results reveal that pineapple juice processing had a BCR of 1.03 which means that going into the pineapple juice processing is profitable. The value of the NPV (GHS11,728.00) and IRR (23%) further confirms that pineapple juice processing is profitable because the NPV is positive and the IRR is greater than the discounted factor (21%). The results also showed that it is more profitable to invest in the blend (pineapple and mango blend) than the pineapple juice alone as it yields a BCR of 1.36 which was greater than the BCR of 1.03 for the pineapple juice only. Furthermore, the value of the NPV (GHS176,831.00) which is greater than the pineapple juice only, suggests that the blend is more profitable even though the IRR for both are the same. Moreover, it is also more likely to recover capital investment earlier in the processing of the blend than when one goes into pineapple juice processing only, because the net cash flow in year 2 (GHS 58,146.00) for the blend is more than triple that of the pineapple juice only (GHS17,826.00).These results have policy implications for the development of Agribusinesses in Ghana.

• The economic efficiency of apple production in terms of post‑harvest technology

  99-106

  Viktor Szabó

  Views:

  143

  This study analyses how the level of postharvest technology’s development influences the economic efficiency of apple production with the help of a deterministic simulation model based on primary data gathering in producer undertakings. To accomplish our objectives and to support our hypotheses three processing plant types are included in the model: firstly apple production with no postharvest and prompt sale after the harvest, secondly parallel production and storage combined with an extended selling period and thirdly production and entire postharvest infrastructure (storage, sorting-ranking, packing) with the highest level of goods production and continuous sales. Based on our results it can be stated that the parallel production (plantation) and cold storage, so the second case is proved to be totally inefficient, considering that the establishment of a cold storage carries enormously high costs with resulting a relative low plus profit compared to the first type of processing plant. The reason for this is that this type is selling bulk goods without sorting-grading or packaging; storage itself – as a means of continuously servicing the market – is not covered properly by the consumers. Absolute efficiency ranking cannot be established regarding the other two processing plants: plantation without post-harvest infrastructure resulting lower NPV, but a more favourable IRR, DPP and PI as developing a plantation and a whole post-harvest infrastructure.