DOI:

Abstract

Vietnam has become the world's second largest exporter of coffee and the largest exporter of robusta bean. In the past ten years, coffee has been one of Vietnam's staple exports that has made great contributions to the industrialization and modernization process. Living standard of coffee-planters, however, has not much improved because revenue from selling coffee is not much higher than production cost. This problem means that scientific solutions to income rises are real challenges to policy-makers. To find a solution, it is necessary to identify factors that affect the income of coffee planters. Employing the theory of agronomy and realities in Vietnam, authors have developed a multivariate regression model to quantify the factors that affect the income of coffee planters. A direct investigation of 293 coffee-growing families in provinces of Laâm Ñoàng and Ñaék Laék was carried out with a view to testing and putting the model into practice. Results show that the income is affected by four factors: coffee-growing area, strain of coffee, coffee-planters' knowledge, and application of biological techniques.

Keywords

Coffee; Income Of Planter Families; Multivariate Regression.