Received: 21-03-2023 / Accepted: 21-06-2023
This study aimed to identify the factors affecting the adoption of high technology in vegetable production of farm households in Hanoi, Vietnam. A total of 164 farm households consisting of 88 households applying high technology in their vegetable production and 76 farm households with traditional production practice from two representative districts of Gia Lam and Dong Anh were randomly interviewed for the necessary data collection. Logit regression model was employed to explore the effects of different factors on the high technology adoption in vegetable production. Findings indicate that the farmer’ education, households’ income, vegetable areas, access to extension services and access to credit had statistically significant and positive impacts on the adoption. Meanwhile the gender, age, total agricultural land areas and locations did not exert clear impacts. Based on the findings, the major solutions for enhancing the adoption of high technology in vegetable production of farm households in Hanoi were proposed.
