Abstract
The study constructed a panel data set from face-to-face interviews with 300 households in Binh Gia district, Lang Son province during 2015-2017 and used the Fixed-Effects regression method to examine the key determinants of household income of the Star Anise growers. The sample was then decomposed into sub-samples for a further analysis. The results show that the labour days significantly (at one per cent level) influence household income for the entire sample and the sub-samples. In addition, for the entire sample, the householder age, education and cultivation method play an important role on household income. The decomposition of the sample shows that the key determinants of household income vary among study areas.
Keywords: Income, households, panel-data, Fixed-Effects, Binh Gia, Lang Son, Vietnam.
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Ban biên tập Tạp chí Kinh tế & Quản trị Kinh doanh
Phòng 514, Nhà điều hành, trường Đại học Kinh tế & Quản trị Kinh doanh
Địa chỉ: Phường Tân Thịnh, thành phố Thái Nguyên
Email: tapchikt-qtkd@tueba.edu.vn; Điện thoại: 0208.3903373
