Author
Listed:
- Khong Tien Dung
(School of Economics, Can Tho University, Vietnam)
- Vu Thuy Duong
(School of Economics, Can Tho University, Vietnam)
- Vo Nguyen Hong Chau
(BSc in Agricultural Economics, Can Tho University, Vietnam)
- Nguyen Thanh Thuy
(Vinh Long Department of Agriculture and Rural Development)
Abstract
This research aims to evaluate the financial efficiency of the organic mango production model in Dong Thap province and compare it with the conventional model. The data employed in this research were collected by surveying organic and traditional mango farming households in Dong Thap province Vietnam. The results of comparing the production costs of the two models reveal that organic mangoes’ production costs are higher than traditional mango production costs, with the difference in cost items used for chemicals and fruit bags, these differences are both significant at the 1% level. Comparing the financial indicators of the two models indicates that the indicators of revenue/cost, income/cost, profit/cost, and profit/family labor in the two models all have a statistical significance level of 1%, except for the profit/cost section which has a significance level of 10% and the profit/family labor index which is not statistically significant. The results of analyzing factors affecting farmers’ profits in the model show that 4 variables affect farmers’ profits including working days, age, education, and experience while age is not statistically significant in the traditional model. Surprisingly, training does not affect the profit in the regression model in both models. Based on the results of the analysis, the author proposes some recommendations to improve the financial efficiency of the organic mango growing model in the Mekong Delta.
Suggested Citation
Khong Tien Dung & Vu Thuy Duong & Vo Nguyen Hong Chau & Nguyen Thanh Thuy, 2024.
"The Financial Efficiency of the Organic Mango Production Model in the Mekong Delta Vietnam,"
International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(8), pages 601-610, August.
Handle:
RePEc:bcp:journl:v:8:y:2024:i:8:p:601-610
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