University of Finance - Marketing

Purpose This study focuses on analyzing the relationship between economic growth and ecological footprint in Southeast Asia during the period 2000–2022, to test the validity of the environmental Kuznets curve hypothesis, and at the same time provide suggestions for sustainable development policies suitable to the practical conditions of the region. Design/methodology/approach The study applies the Threshold Model to test the existence of an income threshold at which the relationship between economic growth and environmental degradation changes. Through this, the study can clearly identify different stages in the process of economic development and their impacts on the environment, thereby testing the validity of the Kuznets Curve hypothesis on the environment. Findings The study provides empirical evidence for the existence of the Environmental Kuznets Curve (EKC) in Southeast Asia, based on the Ecological Footprint (EF) index. The results from the threshold variable model are consistent with the Environmental Kuznets Curve (EKC) theory, showing that environmental quality declines in the early stages of growth due to resource exploitation and industrialization, but has the potential to improve beyond a certain threshold through effective technology and policies. Sensitivity analysis strengthens the accuracy of the results and assesses the influence of each variable, providing a scientific basis for sustainable development policies. Research limitations/implications This study helps identify sustainable development models and effective strategies, thereby drawing lessons for Southeast Asian countries in formulating green growth policies. Originality/value This study tests the EKC hypothesis by examining the relationship between ecological footprint and economic growth of Southeast Asian countries as a basis for proposing recommendations towards green growth goals.

This study examines the time–frequency dependence structure and causality of Vietnamese financial development (FI), trade openness (OP), education (ED), and digitalization (DI) on Vietnam’s economic growth (GDP) across quantiles over the period 2000–2021. We employ wavelet-based decomposition series to establish a multiscale quantile-on-quantile regression (QQR) and Granger causality in quantiles test frameworks to uncover the complex interactions involving FI, OP, ED, DI, and GDP. The results are as follows: First, QQR findings indicate that digitalization and education significantly impact economic growth across different quantiles. By contrast, there are both negative and positive relationships between FI, OP, and GDP in this economy at various economic scenarios. Second, as for the Granger causality test, the findings are heterogeneous. Put differently, a bidirectional relationship is found between FI, ED, DI, OP, and GDP in this country at different timescales. This Granger causality is stronger in longer time horizons. Additionally, wavelet coherence estimates suggest that the multiscale nexus between the examined variables is time-varying and scale-varying, where we find low coherence in the short run and higher coherence in longer time horizons. These findings can inform cooperative policies on digitalization, education, trade openness, financial development, and economic growth in Vietnam.

The current study investigates the insights of both teachers and students regarding translanguaging in EMI courses, and how translanguaging has been implemented in EMI courses. It is a case study, conducted at a university in which EMI courses have been thoroughly taught in a variety of departments. The study employed two research tools: classroom observations and two open-ended interviews with two groups, including students and teachers. The classroom observation was conducted in two separate class settings for the subject of English for Marketing at a university. The interview used to collect teachers and students’ insight on their attitudes, experience, and strategies toward translanguaging. The findings indicated that both teachers and students have a positive attitude toward the use of translanguaging in EMI courses. Additionally, they perceived that translanguaging brought several benefits to students: enhancing students’ comprehension of content knowledge and language, boosting motivation in the learning process, and reducing anxiety in learning. These benefits led to the creation of more complex ideas and exposure to a wider linguistic repertoire. It has some pedagogical implication for teachers to implement linguistic repertoire to students for better learning performance. Moreover, teachers with the use of translanguaging should created more learning activities to maximize its benefits in EMI courses.

This study investigates the relationship between government spending, renewable energy development and carbon intensity in Vietnam, where carbon intensity is used as an indicator of green economic performance. Using annual time-series data for the period 2000–2021, an autoregressive distributed lag (ARDL) model is employed to capture both short and long-run dynamics among the variables. The empirical results confirm the existence of a long-run equilibrium relationship. Renewable energy development is found to reduce carbon intensity in both the short and long run, thereby improving environmental quality and supporting the transition towards a more sustainable, low-carbon economy. By contrast, aggregate government spending does not exert a clear direct effect on carbon intensity, suggesting that broad-based fiscal expansion alone may be insufficient to foster green growth without complementary, environmentally targeted policies. The findings highlight the importance for policymakers of accelerating renewable energy deployment, mainstreaming sustainability considerations into urban planning, and aligning public investment in technology and infrastructure with low-carbon development objectives to achieve durable reductions in emissions.

This study aims to analyse the existing literature and identify major research trends at the intersection of organizational citizenship behavior and energy transition in energy-intensive industries. Data were retrieved from the Scopus database and include 155 English-language publications published between 2015 and 2025. A bibliometric analysis was conducted using R Studio (Bibliometrix/Biblioshiny) and VOSviewer to examine publication performance, influential journals and authors, geographical distribution, and thematic structures within the research domain. The results show a rapid expansion of research linking organizational behavior with energy transition, reflecting increasing scholarly attention to the behavioral and organizational dimensions of energy efficiency and low-carbon transition. The literature is mainly published in high-quality journals in energy economics, sustainability, environmental management, and organizational studies. Geographically, research activity is concentrated in Asia and Europe, with China emerging as the most productive contributor, followed by several European countries and other emerging economies. Keyword co-occurrence and thematic mapping identify four major research themes: organizational green management and sustainability foundations; pro-environmental and organizational citizenship behaviors and governance mechanisms; energy efficiency, energy consumption, and low-carbon transition dynamics; and system-level energy transition, policy, and stakeholder governance. The study also outlines future research directions to strengthen the integration of organizational citizenship behavior, energy economics, and sustainability perspectives in energy-intensive industries.

Abstract This study examines the influence of environmental taxes on the shadow economy for a global sample of 61 countries in two subsamples (high‐income group—HIG and low‐ and middle‐income group—LMG) with data available from 2002 to 2018. Environmental taxes are found to increase the shadow economy significantly across the globe and two subsamples. The proportion of the shadow economy of GDP rises by about 0.201 percentage points on average when the environment taxes to GDP ratio increases by one percentage point. We use a simultaneous equations model to delve into the mechanisms through which environmental taxes might exert their influence, which we find to be transmitted through two main channels, namely, unemployment and the tax burden. Increases in environmental taxes cause higher unemployment and increase the tax burden, resulting in greater informal economic activities. Interestingly, among the four different forms of environmental taxes, an energy tax expands the shadow economy consistently across samples. Pollution and resource taxes have a positive effect on the shadow economy, primarily in HIG. Taxes on energy appear to increase unemployment and then cause an increase in the size of the shadow economy. In contrast, taxes on pollution, resources and transport seem to be associated with a higher tax burden, which causes an increase in the size of the shadow economy. In general, a crucial policy consideration involves the careful selection of environmentally related taxes that do not disrupt primary economic activities. The findings also suggest that the implementation of environmental taxes should be accompanied by policies designed to mitigate the potential adverse impacts on unemployment and the tax burden, both of which can impose significant societal costs.

Vietnam's forestry sector faces unique governance challenges due to a landscape characterized by highly dispersed smallholder ownership, contrasting with concession-based models. As international markets increasingly demand sustainability certifications (e.g. FSC or PEFC), cost and complexity deter most smallholders, prompting wood processing firms to finance certification themselves. Such investments of processing firms can be at risk of opportunistic behaviour by smallholders who may side-sell at harvest. The risk can be compounded by weak legal enforcement. Drawing on transaction-cost economics and network theory, we employ a relational contracting lens to examine how such agreements persist. We analyse 15 key stakeholder interviews and six documents. We find evidence that contract stability rests less on legal stipulations and more on relational mechanisms: flexible contingent terms, co-investment in technical capacity, and embedded governance via local authorities and social networks. These informal institutions and networked enforcement substitute for formal mechanisms, enabling sustainable long-term contracting in emerging markets. • Vietnam's certified timber supply hinges on relational, not formal, negotiations. • Flexible terms and co-investment counter “reverse hold-up” in timber deals. • Social networks and local authorities provide informal contract enforcement. • Informal governance enables certification in fragmented smallholder forestry.

In the era of rapid digital transformation in logistics, this study examined drivers of user adaptation, satisfaction, and continuance intention toward mobile logistics service platforms. Integrating the technology acceptance model, expectation–confirmation model, and diffusion of innovation theory, the proposed model tested how perceived usefulness, ease of use, enjoyment, and trust influence adaptation and sustained use. Survey data from 650 Vietnamese mobile logistics service users were analyzed via structural equation modeling. Findings show these system attributes significantly promote adaptation, which in turn enhances satisfaction and continuance intention, with adaptation serving as a key mediator. The study extends post-adoption research in logistics and contextualizes acceptance theories in an emerging market.