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The purpose of this article is to examine disaster justice for people with disabilities (PWD).

Drawing on the capability approach, the article explores distributive injustice that PWD face in dealing with disasters. It discusses procedural justice with a focus on the agency of PWD and their participation in decision-making processes concerning disaster risk reduction.

It argues that disaster injustice faced by PWD can be construed as the inequalities of capabilities that they experience in coping with disasters. Furthermore, although social structures play an important role in creating and perpetuating disaster injustice, PWD, as agents of change, have power to transform social structures that, in turn, bring about justice for themselves.

The article raises the need for considering the equality of capabilities and human agency in achieving disaster justice for PWD.

Vietnam's industrial evolution is luring U. S. companies as the country emerges from political banishment.

This study aims to focus on exploring the construction productivity of building projects under the influence of potential factors. The three primary purposes are (1) determining critical factors affecting construction productivity; (2) identifying causal relationship and occurrence probability of these factors to develop a Bayesian network (BN) model; and (3) validating the accuracy of predictions from the proposed BN model via a case study.

A conceptual framework that includes three performance stages was used. Twenty-two possible factors were screened from a comprehensive literature review and evaluated through expert opinions. Data were collected using a structured questionnaire-based survey and case-study-based survey. The sampling methods were based on non-probability sampling.

Worker characteristic-related factors significantly affect labour productivity for a construction task. Construction productivity is dominated by the working frequency of workers (overtime), complexity of the task, level of technology application and accidents. Labour productivity is defined as nearly 50% of the baseline productivity using the BN model created by the caut 2sal relationship and probability of factors. The prediction error of the BN model was 6.6%, 10.0% and 9.3% for formwork (m²/h), reinforcing steel (ton/h) and concrete (m³/h), respectively.

The evaluation or prediction of productivity performance has become a necessary topic for research and practice.

Managers and practitioners in the construction sector can utilise the outcome of this study to create good productivity management policies for their prospective projects.

Worker-related characteristics are dominant among critical factors affecting labour productivity for a construction task; the proposed BN-based predictive model is built based on these critical factors. The BN approach is highly accurate for construction productivity prediction. The findings of this study can fill gaps in the construction management body of knowledge when modelling construction productivity under the effects of multiple factors and using a simple probabilistic graphic tool.

Ports, as one of the important links between different modes of transport within the logistics chain, have special essence since their efficiency and competitiveness will certainly have an impact on the chain, and hence the national and regional economy. Vietnam, as a developing country gradually integrating into the regional and global economy, is rationalizing its economic sectors, including transportation. In this environment, ports play a vital role for the purpose of achieving comparative advantages in the international market. However, the Vietnamese port system is burdened with outdated work practices, low efficiency and poor competitiveness compared to other ports in the region. This paper identifies some of the problems in the Vietnamese port system and proposes strategies to address them.

A systems perspective of waste management allows an integrated approach not only to the five basic functional elements of waste management itself (generation, reduction, collection, recycling, disposal), but to the problems arising at the interfaces with the management of energy, nature conservation, environmental protection, economic factors like unemployment and productivity, etc. This monograph separately describes present practices and the problems to be solved in each of the functional areas of waste management and at the important interfaces. Strategies for more efficient control are then proposed from a systems perspective. Systematic and objective means of solving problems become possible leading to optimal management and a positive contribution to economic development, not least through resource conservation. India is the particular context within which waste generation and management are discussed. In considering waste disposal techniques, special attention is given to sewage and radioactive wastes.

Waste is typically encountered during the building's life cycle, from the design phase, through the construction phase, to modification and demolition. Most of these construction wastes are unnoticed or unattended by project managers, which lead to serious environmental problems. Effective waste reduction strategies will require a thorough and detailed understanding of the causes of construction waste. Hence, this paper aims to explore critical waste factors (CWFs) affecting the performance of construction projects.

An extensive literature review was carried out to determine these factors based on previous studies, from which a questionnaire was developed. Series of statistical analyses such as reliability analysis, Spearman Correlation, Kruskal–Wallis and factor analysis were performed on a total of 330 valid responses to identify latent factors responsible for wastes occurrence.

This study reveals 31 CWFs through evaluation of prior relevant studies carried out in several countries and then adjusted and validated through semistructured interviews. The significant differences in views within various groups of respondents with different organizational characteristics are highlighted. The results of factor analysis showed that there are six principal components extracted with 66.3% of variance explained (material-related factors; subcontractors and workers; planning, communication and coordination; people involvement and financial issues; people development strategies; and external factors).

This study differs from other studies in the literature by gathering all relevant waste factors including those related to nonphysical waste such as time, budget, workers and equipment. Furthermore, this paper will be of great interest to both practitioners and researchers since it brings various recommendations concerning the prevention/reduction of waste through lean construction for more sustainable construction projects.

This paper aims to explore factors influencing apartment price volatility in the two biggest cities in Vietnam, Hanoi and Ho Chi Minh City.

The study uses the supply and demand approach and provides a literature review of previous studies to develop four main hypotheses using four determinants of apartment price volatility in Vietnam: gross domestic product (GDP), inflation rate, lending interest rate and construction cost. Subsequently, the Vector Error Correction Model (VECM) is used to analyze a monthly data sample of 117.

The research highlights the important role of construction costs in apartment price volatility in the two largest cities. Moreover, there are significant differences in how all four determinants affect apartment price volatility in the two cities. In addition, there is a long-run relationship between the determinants and apartment price volatility in both Hanoi and Ho Chi Minh City.

Limitations related to data transparency of the real estate industry in Vietnam lead to three main limitations of this paper, including: this paper only collects a sample of 117 valid monthly observations; apartment price volatility is calculated by changes in the apartment price index instead of apartment price standard deviation; and this paper is limited by only four determinants, those being GDP, inflation rate, lending interest rate and construction cost.

The study provides evidence of differences in how the above determinants affect apartment price volatility in Hanoi and Ho Chi Minh City, which helps investors and policymakers to make informed decisions relating to the real estate market in the two biggest cities in Vietnam.

This paper makes several recommendations to policymakers and investors in Vietnam to ensure a stable real estate market, contributing to the stability of the national economy.

This paper provides a new approach using VECM to analyze both long-run and short-run relationships between macroeconomic and sectoral independent variables and apartment price volatility in the two biggest cities in Vietnam.

This study analyzes whether farmers' incomes increase as they participate in online groups.

The study analyzed interview data from 673 farming households in three mountainous provinces of northern Vietnam, utilizing the propensity score matching (PSM) method.

The empirical results reveal that farmers participating in online groups, particularly those engaged in 1–3 groups, experience an increase in their income attributed to the three advantages of sharing-accessing-saving (SAS) information. Farming households engaged in online groups earn higher incomes, ranging from equivalent to 25.78 to 26.96 USD, in comparison to those who do not participate. Notably, farmers participating in 1–3 online groups outpace their counterparts in 4–5 groups in terms of income.

This study exclusively focuses on examining farmers' total income derived from all their agricultural activities and does not quantify the specific impact of online group participation on the income generated by each product. Furthermore, it is important to note that the PSM method has the potential to introduce bias due to unobserved factors, such as social networks and local culture. Consequently, future research should prioritize the segmentation of income from individual agricultural products, distinct from the overall income, to gain a more nuanced understanding of each product’s sensitivity to information exchanged in online groups. Simultaneously, accounting for unobserved factors is crucial to obtain unbiased estimates.

This study represents the inaugural exploration into the comparison of farmers' incomes within a novel context – participation in digital-based groups. Furthermore, it extends the inquiry by delving into the correlation between the number of online groups joined and farmers' income. The empirical findings indicate that farmers may benefit the most by limiting their participation to a select few groups that align with their information needs and analytical abilities.

The purpose of this study is to examine how use of agriculture information systems could impact farmers' intention to convert from traditional to organic agriculture production in the mountainous areas of Northern Vietnam, based on a research framework developed from integrating Diffusion of Innovation Theory and Theory of Planned Behavior. Specifically, the authors aim to test the direct impact of use of agriculture information systems on converting intention and the interaction between use of agriculture information systems and perceived economic benefits, perceived non-economic benefits of organic production and market access on the formation of converting intention.

Data were collected from a sample survey that included 634 agriculture-producing households in Thai Nguyen, Tuyen Quang and Cao Bang provinces of Northern Vietnam. The logistic regression was used for data analysis.

Research findings indicate that perceived economic benefits, non-economic benefits, market access and use of agriculture information systems positively support the converting intention. Moreover, the use of information systems strengthens the links between the converting intention and perceived economic benefits, perceived non-economic benefits and market access.

This research is innovative in incorporating the use of agriculture information systems as both direct contributor and moderator in converting decisions.

The construction industry struggles in environmental and economic performance due to waste generation. Several studies have measured this waste in the construction industry of developing countries like India, Brazil, China, Nigeria and Iran, and proposed strategies to enhance the overall efficiency. But no such work exists in Pakistan's context. The construction industry of Pakistan contributes significantly to the country's gross domestic product (GDP). And with several mega projects in progress to overcome the energy crises and improve the infrastructure of the country, the absence of proper waste management policies and plans calls for empirical research. Therefore, this study quantifies and benchmarks material waste in the local context, its impact on project cost and the effect of multiple subcontracting arrangements on waste generation. It also proposes a conceptual waste management plan (WMP) for local conditions which can be generalized for developing countries.

This paper uses a mixed research approach by leveraging Saunders's research onion model. To benchmark the current wastage practices, quantitative data of material waste in the Pakistani construction industry are gathered through document review of accounting systems, inventory and payment records of 40 completed building projects. Using the data, the waste rate of different materials is measured along with their impact on cost. Additionally, the role of subcontracting arrangements in waste generation is also investigated. Also, semi-structured interviews are conducted with project managers of high- and low-performing construction organizations to propose a conceptual WMP for the local industry and developing countries.

The highest wasteful materials by quantity are wood, sand and concrete blocks, and those by cost are wood, bricks and steel. By quantity, 123% more material was used on average than the actual productive work. Also, the labor only (L-O) subcontracting arrangement causes maximum waste. Moreover, the difference between the highest (155%) and lowest wasting company (104%) is 51%, highlighting the proactive and resistive waste management culture and approach by the worst- and best-performing companies. Further, the impact of waste quantities is more than 2% of the project cost. Finally, a conceptual model consisting of measures at the project, industry and national levels is also proposed as a guide for developing countries.

The findings of this benchmarking study can help improve the project planning, execution and monitoring, and control practices by providing a better understanding of the material waste potential. This will help economize the construction industry and improve its sustainability.

This is the first benchmarking study that quantitatively measures material waste in the construction industry of Pakistan. It highlights that costly as well as sustainability-implicating materials are frequently wasted in the local construction projects. Also, this study correlates the wastage with subcontracting arrangements. Additionally, an original conceptual WMP is proposed that could help the industry improve its performance. The findings could help the construction professionals identify the loopholes in their material management practices and not only save money but also ensure better sustainability.