The research aims to classify the level of sustainability of 63 provinces in Vietnam upon 24 indicators reflecting three main dimensions of sustainable development by using multivariate classification method for the year 2014–2016. First of all, the principal component analysis (PCA) was applied to group quantitative variables that reflect important aspects of each component of sustainable development of localities in Vietnam into a number of limited dimensions (factors). The results of PCA illustrate 8 principal components in which 3 main components of economic and social pillar, and 2 main components for environmental pillar. After that, the second method was applied by using the hierarchical methods of cluster analysis for the set of 8 principal components conducted by PCA. With the candidate solution divided all of the provinces into 6 clusters, the analysis shows that the higher level of sustainable development belongs to South East, Red River Delta, and North Central, in which 4 provinces of South East (Ho Chi Minh City, Binh Duong, Dong Nai, and Ba Ria – Vung Tau) form a group with the highest level of sustainability. The regions such as South Central Coastal, Highland area, and Mekong River Delta have the medium level; the North midland and mountain areas are regions at the low level of sustainability.
Economic growth has dominated development strategies and goals for many years, but prosperity encompasses more than that. In 2013, UN-Habitat proposed the City Prosperity Initiative (CPI) as a tool to quantify cities' prosperity and sustainable development. The CPI is accompanied by six essential components with 62 indicators associated with the urban settlement, incorporating productivity, infrastructure development, quality of life, social inclusion, environmental sustainability, and urban governance and legislation. The research aims to use the indicators of CPI and adopted the Full Permutation Polygon Synthetic Indicator method to measure and evaluate the level of prosperity of Da Nang City of Vietnam with data from 2004 to 2019. According to the findings of our study, the value of a synthetic indicator for the prosperity of Da Nang City increased, from 0.34 in 2004 to 0.36 in 2009, 0.43 in 2014, and 0.45 in 2019, which indicates a moderate level of wealth. On the one hand, Da Nang City has high levels of quality of life, equity and social inclusion, and urban governance and legislation. However, the city still has modest determinants of prosperity in terms of the environment, productivity and infrastructure. The Full Permutation Polygon Synthetic Indicator technique provides a comprehensive solution that illustrates the system integration idea. As a result, the proposed methodology offers a potential foundation for decision-making to promote sustainable urban development strategies and assess the effectiveness of these actions
Sustainable development is zeitgeist of our age. It is one kind of development that in this trajectory humanity can create a stable and developed socio-economic foundations, conserve environment and therefore able to continue for a long time. Using indicators is one of the best ways to monitor and measure the progress toward sustainable development. In this paper we have proposed the way to create indicators for measuring provincial sustainable development index in Vietnam. We firstly made a framework of elements for economic, social and environmental component and compiled a list of indicators of 20 national and international agencies in the world. We then applied the SMART framework (Specific, Measurable, Achievable, Relevant, and Time-related) to choose indicators which will be relevant for Vietnam and put them back to the elements. We then have 39 relevant indicators with 12 indicators for economy, 17 indicators for social and 10 indicators for environmental component. Finally, we have established the way to determine the worst and best value for each indicator from available data for countries in the world.
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