Hoang Van Hung Hung Yen University of Technology and Education (UTEHY), Hung Yen, Vietnam
Email: davidhoang8585@gmail.com
Nguyen Van Huong Hung Yen University of Technology and Education (UTEHY), Hung Yen, Vietnam
Email: Vanhuong75hy@gmail.com
Le Thi Thuong Hung Yen University of Technology and Education (UTEHY), Hung Yen, Vietnam
Email: lethuongkt.utehy@gmail.com
Thai Thi Kim Oanh Vinh University (VU), Vinh City, Vietnam
Email: thaithikimoanhkt@gmail.com
Nguyen Van Chuong University of Financial – Business Administration (UFBA), Hung Yen, Viet Nam
Email: nguyenchuong.edu@gmail.com
Nguyen Cong Tiep Viet Nam National University of Agriculture (VNUA), Ha Noi, Viet Nam
Email: nctiep@vnua.edu.vn
Thai Van Ha Ha Noi University of Business and Technology (HUBT), Vinh Tuy, Hai Ba Trung, Ha Noi
Email: vanha280182@gmail.com
Nguyen Thi Luong Can Tho University (CTU), Can Tho City, Viet Nam
Email: ntluong@ctu.edu.vn

Abstract:

Bananas are considered one of the leading trading crops due to their high demand all over the globe. Since the increasing demand leads to the expansion of global import, the existing literature is in dire need of updating, especially from the producing economies that fall in the category of developing nations. The study, thus, intends to estimate the critical efficiency of said area. Along with it, the study aims to determine the elements of banana production in the context of Vietnam using a stochastic frontier approach and technical efficiency technique. The sample of the study is the province of Vietnam named Hung Yen, and it made sure to collect the data from 160 farmers in 2022. Results of the study reveal that the farmers' technical efficiency fluctuates between the range of 89.68- 97.81%. However, the average technical efficiency of banana farmers was reported to be 95.92%. From the result, it is gauged that factors such as potassium, manure, distance, capital, and training showed positive signs at a 0.01 significance level. Also, the education and area coefficient show a positive sign at a 0.05 significance level. Finally, distance and district variables, which were the dummy variable, show a negative sign at 0.01 and 0.05 significance levels, respectively.

Keywords:Technical efficiency, productivity, and Stochastic Frontier Production Function.