Nguyen Tuan Anh

The medium- and high-tech manufacturing (MHM) sector has played a crucial role in Vietnam's economic development. The purpose of this research is to identify the primary factors that contribute to the growth of the medium- and high-tech manufacturing sector in Vietnam. By applying the autoregressive distributed lag (ARDL) method to analyze annual data from 1990 to 2020, we discovered that different macroeconomic factors affect the short- and long-term development of the MHM sector in varying ways. Specifically, digitalization and human capital have a positive influence on the growth of the MHM sector over both the short and long terms. Trade openness and foreign direct investment, however, have a significant, negative long-term impact on the growth of the MHM sector. The effect of financial development on the MHM sector in Vietnam is significant and positive in the short term. Our study discloses that both the 2008–2009 global financial crisis and the Covid-19 pandemic positively impacted Vietnam's MHM sector, as global manufacturers diversified their supply chains and moved their production facilities to Vietnam during and after these events. From the empirical findings, our study offers valuable suggestions to the Vietnamese government, which will enable the country to unlock its full potential for MHM growth.

A cross-sectional descriptive study was conducted in Hanoi from 2009 - 2020 to determine some epidemiological characteristics of Dengue fever (DF). A retrospective study from diseases surveilllance system in the Statistical Yearbook of Infectious Diseases annually was conducted. The results showed that in the 12-year period from 2009 - 2020, Hanoi recorded the largest outbreak in 2020 with 45.187 cases and 28 deaths. In 2012, with only 1.368 cases and 0 deaths showed that DF cycle tended to be faster with a 2-year cycle. The average number of DF cases varied between months, peaked from July to November, especially the highest average number of cases (3.607 cases) in October. DF circulated every years around in Hanoi and concentrated in August, September, October and November period. However, the number of death were increased in July and November together with DF increasing. DF case fatality rate in Hanoi (2009 – 2020) was unevenly varied between years. Therefore, it is necessary to focus on all measures to prevent Dengue epidemics before occurring, spread, and during the epidemic season (July – December), especially applying measures to kill larvae and mosquitoes to reduce Dengue cases.

Mục tiêu: Đánh giá kết quả sinh thiết tuyến tiền liệt dưới siêu âm trộn ảnh cộng hưởng từ trong chẩn đoán ung thư tuyến tiền liệt. Đối tượng và phương pháp: Nghiên cứu tiến cứu trên những bệnh nhân có chỉ định sinh thiết tuyến tiền liệt, được siêu âm tuyến tiền liệt đường trực tràng và chụp cộng hưởng từ tại bệnh viện K3 từ tháng 6/2020 đến tháng 6/2021. Các tổn thương quan sát được trên MRI nhưng không quan sát rõ được trên siêu âm sẽ được áp dụng siêu âm trộn ảnh khi sinh thiết để lấy chính xác mẫu mô tương ứng với tổn thương trên MRI (MRI Fusion Biopsy). Tiến hành đối chiếu kết quả giải phẫu bệnh của hai phương pháp sinh thiết để nhận xét giá trị của sinh thiết đích dưới siêu âm trộn ảnh. Kết quả: 2 trường hợp bệnh nhân đáp ứng tiêu chuẩn lựa chọn. Được sinh thiết đích dưới siêu âm trộn ảnh có kết quả giải phẫu bệnh tương đương sinh thiết hệ thống. Kết luận: Sinh thiết đích dưới siêu âm trộn ảnh có giá trị tương tự sinh thiết hệ thống tuyến tiền liệt trong chẩn đoán xác định ung thư tuyến tiền liệt.

Purpose: This study simultaneously explores the nexus among formal, semiformal and informal credit markets and farm households' credit demand determinants in Vietnam.Design/methodology/approach: This study uses a multistage stratified random sampling process for a survey of 648 smallholder farmers in the Red River Delta (RRD), Vietnam. The trivariate probit model (TVPM) is used to address the interdependence of farm households' credit demands in different credit markets.Findings: The results reveal complementary relationships among two pairs of credit markets (formal versus informal and semiformal versus informal). There are dissimilarities among the determinants (household characteristics, household head's characteristics, credit history and geographic factors) of farm households' credit demands in different markets, reflecting segmentation of Vietnam credit markets.Practical implications: The study's empirical findings are important for policymakers and credit providers to enhance farm households' access to credit for agriculture and to improve the operations of the three credit markets.Originality/value: This is the first empirical study in Vietnam and one of few in other developing countries simultaneously exploring the determinants of credit demand in and interrelationships among all three credit markets to provide more comprehensive and accurate results.

Purpose: This study investigates the short-run and long-run impacts of agricultural credit on Vietnam's agricultural GDP over the period 2004:Q4–2016:Q4, with the incorporation of agricultural labor, public investment and rainfall as important determinants of agricultural GDP.Design/methodology/approach: This study applies the indicator saturation (IS) break tests and the autoregressive distributed lag (ARDL) bounds test with structural breaks to examine the credit–agricultural performance nexus. The causal relationships among variables are explored through the Toda–Yamamoto Granger causality test.Findings: The results indicate that agricultural credit positively influences agricultural GDP in both the short-run and long-run. A unidirectional causal relationship running from credit to agricultural GDP is confirmed. The results also discover the positive and significant effects of labor and rainfall on agricultural GDP in the long-run.Practical implications: The results imply that the government should focus on expanding agricultural credit as well as enhancing the efficiency of agricultural credit. Furthermore, formal credit institutions should be encouraged to work closely with farmers and agricultural enterprises to offer flexible lending periods and amounts to meet the real situation of agricultural production.Originality/value: This study is the first to examine the credit–agricultural performance relationship at the macro-level in Vietnam. Based on the empirical results, the study provides crucial implications for policymakers to optimize the effectiveness of agricultural credit and enhance nationwide agricultural performance.