This paper conducted an indepth assessment on the efficiency of the impacts of trade agreements on rice exports during the period from 2000 to 2015. Based on the secondary data published by the General Statistics Office of Vietnam and the World Bank, the study employed random boundary gravity model to quantify the capacity of Vietnam to exploit rice export potential when participating in trade agreements, or in other words, to estimate the inefficiency in operation of rice export activities of Vietnam under the impact of trade agreements. The results show that rice export activities have not promoted well (at a low level) the impact of the trade agreements that Vietnam has participated in and not all trade agreements have a trend to increase the capacity to exploit rice export potential. Since then, this study provides some recommendations to improve the impact of trade agreements on rice exports in developing countries including Vietnam.

This study focuses on measuring the impact of trade agreements on Vietnam's rice exports based on secondary data sources produced by the General Statistics Office, the World Bank, and International Monetary Fund. Structural gravity model was employed for analyzing and quantifying the impact of trade agreements on rice export of Vietnam. The results show the impact of Trade Agreements on Vietnam’s rice exports is relatively low and not all Agreements bring positive effects. Based on the findings, we give some recommendations for Vietnam's rice export to adapt more to the contents and standards of the Trade Agreements and will be participating in the future.

The primary purpose of this study is to measure the technical efficiency of 30 doctorate-granting universities, the universities or the higher education institutes with PhD training programs, in Vietnam, applying the sensitivity analysis of data envelopment analysis (DEA). The study uses eight sets of input-output specifications using the replacement as well as aggregation/disaggregation of variables. The measurement results allow us to examine the sensitivity of the efficiency of these universities with the sets of variables. The findings also show the impact of variables on their efficiency and its “sustainability”.