Will the pandemic motivate the Vietnamese government to become more transparent?

Being dubbed as an authoritarian government (The Economist, 2019), Vietnam Is under suspicion of hiding the real data about COVID-19 real data about COVID-19 (Dan Tri, 2020). The doubt is based on the monopoly of the Communist Party in controlling the data, which is similar to China (BBC, 2020). Despite this conspiracy, Vietnam’s success is widely recognised for its handling of the pandemic by the international community (IMF, 2020)

The Impact of the Economic Stimulus on Domestic, Private Enterprises

In the year 2008 and the first half of 2009, the world witnessed the unfolding and heavy repercussions of the global financial crisis which affected Vietnam, among others, through the reduction of investments inflow, lower global commodity prices and trade. The government of Vietnam has acted quickly with its stimulus package, including a 4% interest rate subsidy for enterprises with the objective of preventing the economy from falling further. While there are some anecdotal evidences about the effectiveness of the stimulus package, there is no systematic evidence of the impact of the stimulus package. This paper makes use of the PCI 2008 enterprise survey data, a unique dataset which is only recently made by available to investigate the impact of the 4% interest rate subsidy component of the stimulus package. We find strong statistical evidence that the 4% interest rate subsidy has positive and important impacts on the enterprises, easing the severe effects of the global crisis.Freeware; Global financial crisis, fiscal stimulus, interest rate subsidy, Vietnam.

Vai trò của nhóm nghiên cứu đối với việc công bố quốc tế trong lĩnh vực khoa học tự nhiên và kỹ thuật

Công bố khoa học được xem là một trong những thước đo trình độ phát triển khoa học công nghệ và sức cạnh tranh của mỗi một quốc gia do đó nó luôn là chủ đề gây chú ý đối với toàn xã hội trong những năm gần đây. Nâng cao số lượng và chất lượng nghiên cứu khoa học, công bố quốc tế được xem là một trong những yếu tố quan trọng quyết định đến sự hình thành và phát triển của các nhóm nghiên cứu cũng như quyết định cho sự thành công của các hoạt động khoa học công nghệ của bất kỳ cơ quan tổ chức nghiên cứu, giáo dục nào. Nghiên cứu này được thực hiện nhằm đánh giá vai trò của các nhóm nghiên cứu đối với việc công bố quốc tế riêng trong lĩnh vực khoa học tự nhiên và kỹ thuật

Innovation and Export of Vietnam’s SME Sector

Innovation has long been considered an important factor for creating and maintaining the competitiveness of nations and firms. The relationship between innovation and exporting has been investigated for many countries. However, there is a paucity of research in Vietnam with respect to this issue. In this paper we examine whether innovation performed by Vietnam’s small and medium enterprises (SMEs) enhances their exporting likelihood. Using the recently released Vietnam Small and Medium Enterprise Survey 2005, we find that innovation as measured directly by ‘new products’, ‘new production process’ and ‘improvement of existing products’ are important determinants of exports by Vietnamese SMEs.Vietnam; Export; Innovation; Small and Medium Enterprise

A Co-optimization PSO for Fuzzy Rule-Based Classifier Design Problem Based on Enlarged Hedge Algebras

Fuzzy Rule-Based Classifier (FRBC) design problem has been widely studied due to many practical applications. Hedge Algebras based Classifier Design Methods (HACDMs) are the outstanding and effective approaches because these approaches based on a mathematical formal formalism allowing the fuzzy sets based computational semantics generated from their inherent qualitative semantics of linguistic terms. HACDMs include two phase optimization process. The first phase is to optimize the semantic parameter values by applying an optimization algorithm. Then, in the second phase, the optimal fuzzy rule based system for FRBC is extracted based on the optimal semantic parameter values provided by the first phase. The performance of FRBC design methods depends on the quality of the applied optimization algorithms. This paper presents our proposed co-optimization Particle Swarm Optimization (PSO) algorithm for designing FRBC with trapezoidal fuzzy sets based computational semantics generated by Enlarged Hedge Algebras (EHAs). The results of experiments executed over 23 real world datasets have shown that Enlarged Hedge Algebras based classifier with our proposed co-optimization PSO algorithm outperforms the existing classifiers which are designed based on Enlarged Hedge Algebras methodology with two phase optimization process and the existing fuzzy set theory based classifiers