FACTORS INFLUENCING THE VALUE OF VIETNAM'S AGRICULTURAL EXPORTS TO THE MARKETS OF MEMBER COUNTRIES OF THE REGIONAL COMPREHENSIVE ECONOMIC PARTNERSHIP (RCEP)

This study aims to investigate the determinants of Vietnam's agricultural export values to the Regional Comprehensive Economic Partnership (RCEP) member countries. Employing a quantitative analysis methodology within the post-RCEP effectuation landscape, the gravity model scrutinises the factors influencing export performance. The research encompasses an assessment of five key determinants: Vietnam's Gross Domestic Product (GDP), the GDP of RCEP member states, the proportion of agricultural land, geographical proximity, and bilateral exchange rates. Based on the empirical findings derived from the model, the author proposes a series of policy implications aimed at enhancing trade engagement with the RCEP market, catering to the government and business enterprises.JEL: F13, F15  Article visualizations

Research on Urban Land Use Change in Ha Noi, Viet Nam Using Remote Sensing and GIS for Planning Oriented Work

Currently, 55% of the world’s population lives in urban areas, this proportion is expected to increase to 68% by 2050. In the next 30 years, a large amount of the world's population is predictably concentrated in urban areas in the developing world. Ha Noi is the capital and largest city of Viet Nam which has the average growth rate of approximately 3% per year. Urban development management has become an important issue in Viet Nam since the negative impacts of the urban sprawl on the environmental sustainability, life quality has been increasing as well. Hence, urban planning and management would be pivotal for creating the effective framework conditions for a sustainable development. The objective of our study is to explore the urban growth of Ha Noi using the Landsat images from 1975 to 2020 compared to the city planning. The volatility analysis information from classified urban land maps is considered supportive for urban management and planning oriented work. In addition, the remote sensing data analysis is a useful tool to support planners, managers for urban management and decision. This study results showed the urban land area in study site city has been growing about 3 times and the largest rate (4-6 times) for the Dong Anh, Tu Liem, Gia Lam and smallest rate (10-25%) for Ba Dinh and Hai Ba Trung districts

CAMELLIA SPHAMII (THEACEAE, SECT. PIQUETIA), A NEW TAXON OF YELLOW FLOWER FROM LANGBIANG BIOSPHERE RESERVE, VIETNAM

Camellia sphamii is described and illustrated as a new species of section Piquetia from Hamasin village, D’ran town, Don Duong district, Lam Dong province, Vietnam. C. sphamii is similar to C. proensis (Quach, Luong et al., 2021) but differs from it in several morphological features: mature leaves cordate at base, young leaves purple; pericarp 7–8 mm thick with dense hair on the outer surface, flower buds ovate, ferruginous; sepals 5, hemisphere, concave, finely hairy on the outer surface, sparsely hairy on the inside, petals 7, finely hairy on the outer surface, with translucent margin, concave; style 5, ½ basally united; capsule 5 locular. Information on its phenology, distribution, ecology, and conservation status is also provided

RANDAO-based RNG: Last Revealer Attacks in Ethereum 2.0 Randomness and a Potential Solution

Ethereum 2.0 is a major upgrade to improve its scalability, throughput, and security. In this version, RANDAO is the scheme to randomly select the users who propose, confirm blocks, and get rewards. However, a vulnerability, referred to as the `Last Revealer Attack' (LRA), compromises the randomness of this scheme by introducing bias to the Random Number Generator (RNG) process. This vulnerability is first clarified again in this study. After that, we propose a Shamir's Secret Sharing (SSS)-based RANDAO scheme to mitigate the LRA. Through our analysis, the proposed method can prevent the LRA under favorable network conditions

Exploring the Nexus between Digital Economy and Green Growth: Insights from Emerging Economies

The digital economy creates new development space, opening high-speed and sustainable growth opportunities for Vietnam to become a leading country in the region in digital economic development and green growth. Thus, the article's objectives are to explore the key factors affecting the digital economy and their impacts on green growth. Based on the above goal, the authors used qualitative and quantitative methodologies to analyze the data, and the study used descriptive statistical methods, including assessing the mean value and standard deviation and utilizing a structural equation model using SPSS 20.0 and Amos from surveying a sample size of 250 persons related to management, economics, banks, research institutes, and universities in 10 provinces in Vietnam. The article's findings have five determinants influencing the digital economy and impacting the digital economy on green growth. Finally, the study's novelty helps policymakers and provincial managers apply research results to develop the digital economy and green growth. Mainly, many proposed solutions exist to realize the parallelism of the digital economy and the green economy; these policy recommendations pay more attention to investment in human resource quality, technological innovation, perfect digital policies, investment in digital infrastructure, and promote propaganda work to raise awareness of the entire society about the digital economy. Doi: 10.28991/ESJ-2024-08-04-022 Full Text: PD