In Vietnam, the central Government issues land price brackets, and people's committees promulgate land price tables for five years. The published land prices are always lower than transaction prices ...in the market, resulting in many problems such as loss of state budget, inequality in charge of compensation, and land clearance for citizens. The study aims to uncover factors that influence land prices to build optimal land valuation models for land valuation. Using the Bayesian Model Average, the findings show that several factors strongly influence urban residential land prices in Hanoi's outskirts (Quoc Oai district), such as road type, hospitals, and industrial areas. Other factors as green space and schools, are insignificant in land purchases. The finding also indicated that the optimal model in this study showed a slight difference in valuation prices from the actual market prices. The study also determined that the mass land valuation model would be promising in Vietnam and dual-price countries.
•Land prices issued by the Government lower than the transaction prices in the land use market causes unequal for citizens.•The optimal valuation model can find the specifications that best fit empirical data.•The optimal land valuation models show a slight difference in price from transaction prices.•The distance to school and green area factors minorly impact the residential land prices in suburban areas.
The preservation of green spaces in rapid urbanization emerges as a critical concern, posing a significant challenge in fostering green cities. This research centers on the Red River Delta, employing ...it as a case study to delve into the intricate interplay between population dynamics, economic vitality, and the maintenance of green spaces, elucidating nuanced effects discernible in urban and rural areas. This study utilizes the Normalized Difference Vegetation Index (NDVI) to depict spatiotemporal changes in green space from 2009 to 2022. The results revealed a discernible decline in urban and rural green spaces in the first eight years and increased slightly afterwards. The results underscore the salient impact of economic and population factors on green space in rural locales, contrasting with the predominant role of population characteristics in urban settings. Specifically, immigration rates and population density emerge as pivotal determinants influencing green spaces in both contexts. The study discloses a heterogeneous association between green spaces and economic development, marked by a positive correlation in urban areas and a negative impact in rural expanses. Moreover, the implications of population and economic vitality on green spaces exhibit variability contingent upon the cities’ function. This research extends the scope of urban development theory. It contributes to the discourse on sustainable urban green development, offering empirical evidence derived from the distinctive context of the Red River Delta in Vietnam.
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•Greenness in the Red River Delta significantly decreased from 2009 to 2016 before slightly recovering afterwards.•Ha Noi and Hai Phong cities had the lowest average NDVI among Red River Delta provinces over 14 years.•Growth of the economy reduced rural green spaces.•The demographic characteristics are currently exerting pressure on urban green spaces.•The impacts of population and economic vitality on green space vary depending on city types and functions.
Cost of postoperative sepsis in Vietnam Bui, My Hanh; Khuong, Quynh Long; Le, Phuong Anh ...
Scientific reports,
03/2022, Letnik:
12, Številka:
1
Journal Article
Recenzirano
Odprti dostop
Despite improvements in medical care, the burden of sepsis remains high. In this study, we evaluated the incremental cost associated with postoperative sepsis and the impact of postoperative sepsis ...on clinical outcomes among surgical patients in Vietnam. We used the national database that contained 1,241,893 surgical patients undergoing seven types of surgery. We controlled the balance between the groups of patients using propensity score matching method. Generalized gamma regression and logistic regression were utilized to estimate incremental cost, readmission, and reexamination associated with postoperative sepsis. The average incremental cost associated with postoperative sepsis was 724.1 USD (95% CI 553.7-891.7) for the 30 days after surgery, which is equivalent to 28.2% of the per capita GDP in Vietnam in 2018. The highest incremental cost was found in patients undergoing cardiothoracic surgery, at 2,897 USD (95% CI 530.7-5263.2). Postoperative sepsis increased patient odds of readmission (OR = 6.40; 95% CI 6.06-6.76), reexamination (OR = 1.67; 95% CI 1.58-1.76), and also associated with 4.9 days longer of hospital length of stay among surgical patients. Creating appropriate prevention strategies for postoperative sepsis is extremely important, not only to improve the quality of health care but also to save health financial resources each year.
This study aimed to discover citizens' evaluation and satisfaction with land registration procedures. Using Hanoi as a case study, interviews were done at the Land Registration Office to clarify the ...satisfaction with land registration. The results show that the satisfaction rate was 74.6%. Collected data were analyzed through machine learning algorithms to find the factors affecting satisfaction. The results indicate that the number of times citizens go to agencies and waiting time are the most significant factors contributing to citizens' satisfaction. The government should design and unify single points for applications, develop a digital-based cadastral database, enable online payment, and modernize facilities to improve the citizens' satisfaction.
Land consolidation is an effective solution for the hindrances in agricultural production and rural development caused by land fragmentation. In the Red River Delta of Vietnam, where land is still ...highly fragmented, the application of land consolidation is required. By using a bottom-up approach, the paper aims to clarify the effect of land consolidation on farm households in selected communities (as case studies) of two provinces (Hung Yen and Vinh Phuc) in the Red River Delta. With the primary structured and semi-structured interview method, 172 household questionnaires and 22 in-depth questionnaires (from local officials) were collected. The results indicated that land consolidation could either change the spatial structure or expand the area of land parcels, facilitate the conversion of crop structure, increase household incomes, accelerate mechanization in agricultural production, and create more job opportunities for agricultural laborers. However, we also found that the land consolidation process conducted in the case studies is inadequate and lacks integration with other related policies.
Air pollution has a significant impact on human health and influences housing choices. Existing studies on determinant factors affecting property prices, including air pollution, mainly employed ...hedonic and spatial regression models that have limitations in capturing non-linear relationships and local interactions. Neglecting the non-linear relationships can lead to incomplete estimation impacts between explainable features and prices. To fill these gaps, this study used machine learning algorithms and SHAP (SHapley Additive exPlanations) to identify the relative importance of air pollutant variables on land values and their non-linear mechanism. The results showed that the Extreme Gradient Boosting (XGBoost) outperformed Ordinary Least Squares (OLS), Gradient Boosting Decision Tree (GBDT), Random Forest (RF), K-Nearest Neighbors (K-NN), and Extra Tree Regression (ETR) models in price prediction and capturing the non-linear relationship between air pollution and land values. Notably, Ozone (O3) and Nitric Oxide (NO) concentrations contribute 1.64% and 1.47% to land value variation, respectively. The results confirmed the non-linear relationship and identified that the threshold effect between air pollution and land values is at mean concentration values. Furthermore, we observed that the negative influence of O3 and NO on land values appears as their concentration level is higher than 29.3 and 13 ppb, respectively. This paper contributes valuable insights by advancing our understanding of the non-linear mechanism impact of air pollution on house and land values, informing environmental policymaking, and shedding light on housing decisions.
Luan DT, Chen TV, Nguyen DD, Truong QC, Thang KH, Nhi NTT, Giang VNL, Sang NX, Triet NT. 2022. Morphological, physicochemical, and phytochemical characterization of Camellia dormoyana (Pierre) Sealy ...from Vietnam. Biodiversitas 23: 5869-5883. Camellia dormoyana (Pierre) Sealy has been used as a flavor, beverage, and folk medicine. Micromorphological features, physicochemical, and phytochemical aspects of C. Dormoyana have not been reported. Thus, further research is necessary to accurately verify the plants and determine their quality and safety for raw materials. This study aimed to characterize morphological, physicochemical, and phytochemical aspects of C. dormoyana from Vietnam. The results present that the species is easily distinguished macromorphologically by the superior ovary, 5-or 6-carpellate, glabrous, and styles glabrous, 5-or 6-parted, and uniformly fused. Micromorphologically, the structure of leaves and stems have similarities between the investigated species in the genus Camellia. Cork-wart, anisotricytic stoma, and stomatal clusters were found in the lower epidermis surface of leaves. The common presence of calcium oxalate crystals and sclereid cells was observed in the stem and the petiole. All epidermis fragments, parenchymal fragments, starch granules, calcium oxalate crystals, sclereid cells, spiral vessels, and red-brown oleoresin masses are standard components present in leaf powder. The physicochemical parameters of leaf powders all meet acceptable standards. The phytochemical compositions of the leaf extract contain lipids, carotenoids, essential oil, reducing compounds, amino acids, triterpenoids, saponins, tannins, and flavonoids.
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