Search Results (61)

The intersection of green finance and artificial intelligence (AI) represents a rapidly emerging and high-impact research domain with the potential to reshape sustainable economic systems. This study presents a comprehensive bibliometric and network analysis aimed at mapping the scientific landscape, identifying research hotspots, and highlighting methodological trends at this nexus. A dataset of 268 peer-reviewed publications (2014–June 2025) was retrieved from the Web of Science Core Collection, filtered by the Business Economics category. Analytical techniques employed include Bibliometrix in R, VOSviewer, and science mapping tools such as thematic mapping, trend topic analysis, co-citation networks, and co-occurrence clustering. Results indicate an annual growth rate of 53.31%, with China leading in both productivity and impact, followed by Vietnam and the United Kingdom. The most prolific affiliations and authors, primarily based in China, underscore a concentrated regional research output. The most relevant journals include Energy Economics and Finance Research Letters. Network visualizations identified 17 clusters, with focused analysis on the top three: (1) Emission, Health, and Environmental Risk, (2) Institutional and Technological Infrastructure, and (3) Green Innovation and Sustainable Urban Development. The methodological landscape is equally diverse, with top techniques including blockchain technology, large language models, convolutional neural networks, sentiment analysis, and structural equation modeling, demonstrating a blend of traditional econometrics and advanced AI. This study not only uncovers intellectual structures and thematic evolution but also identifies underdeveloped areas and proposes future research directions. These include dynamic topic modeling, regional case studies, and ethical frameworks for AI in sustainable finance. The findings provide a strategic foundation for advancing interdisciplinary collaboration and policy innovation in green AI–finance ecosystems. Full article

The present study investigates Vietnam’s economic structural transformation from 2007 to 2023, identifying key sectors contributing to output growth and poverty reduction. The study is situated within the broader context of industrialization and sustainable development in emerging economies. It employs structural decomposition analysis using Vietnam’s national input–output tables for the years 2007, 2011, 2015, 2019, and 2023. The analysis decomposes changes in total output into technical effects and final demand effects, allowing for an evaluation of the relative contributions of sectoral productivity and demand side factors. The findings of the study indicate that the manufacturing and services sectors have been the primary drivers of economic growth, with the electrical and optical equipment, food, beverages and tobacco, and basic metals sectors demonstrating particularly strong performance. The factor of final demand, which is derived from consumption, investment, and exports, has played a dominant role in driving output. Notably, export-led manufacturing has experienced significant benefits due to Vietnam’s engagement in free trade agreements. It is noteworthy that the agriculture sector demonstrated a period of recovery between 2019 and 2023, driven by an increase in final demand. This study underscores the pivotal function of sectoral adaptability, trade openness, and strategic policy in maintaining inclusive economic development. It is evident that the phenomenon under scrutiny is not only indicative of vulnerabilities and opportunities but also shaped by global shocks, for example, the coronavirus pandemic. Full article

Land use and land cover (LULC) in coastal areas is critical in shaping the ecological systems, regional economy, and livelihood of indigenous communities. This study analyzes LULC changes (LULCC) in Soc Trang Province, Vietnam Mekong Delta, from 2010 to 2020 and simulates future LULC for 2030 under four scenarios: natural growth (business as usual, BAU), climate change challenges, profit optimization, and adaptation strategies. Satellite-based LULC maps and geospatial datasets were integrated into a LULC simulation model based on a Markov Chain and Cellular Automata to predict LULC in 2030 under disparate scenarios. Simultaneously, this study also estimates economic values and ecosystem service values as proxies to evaluate benefits and trade-offs between the scenarios. The research findings reveal that the critical LULCC observed during 2010–2020 are transitions from triple rice crops to double rice crops, rice–shrimp to brackish aquaculture, and expansion of perennial plantations. These transitional trends will persist at a modest rate under the BAU scenario in 2030. The climate change challenge scenario will intervene up to 24.2% of the total area, with double rice crops reaching the most extensive area compared to other scenarios, about 106,047 ha. The profit optimization scenario will affect 16.03% of the total area, focusing on aquaculture expansion to the maximum shared proportion of 34% (approximately 57,000 ha). Adaptive solutions will emphasize reducing triple rice crops while expanding double rice crops and reviving rice–shrimp to different extents depending on development pathways. Economic evaluations show a growth trend across scenarios, with maximum returns under profit optimization. Yet, ecosystem service values notably highlight ecological trade-offs, raising concerns about balancing economic benefits and ecological trade-offs in land use planning. The research findings recommend a comprehensive and multitarget approach to land use planning that integrates ecosystem services into initial assessments to balance benefits and trade-offs in coastal areas commonly affected by LULCC. By adopting well-informed and strategic land use plans that minimize ecological and social impacts, local sustainability and resilience to climate change can be significantly enhanced. Full article

This study investigates the effects of bilateral and multilateral official development assistance on Vietnam’s economic growth from 1986 to 2022. Utilizing the autoregressive distributed lag (ARDL) bounds testing approach, our results show that in the shortrun, bilateral official development assistance has a significant positive influence on economic growth, whereas multilateral official development assistance has a significant negative influence on economic growth. However, the empirical findings reveal that both bilateral and multilateral official development assistance have no influence on economic growth in the longterm. Given that bilateral official development assistance has a significantly positive impact on economic growth in the shortrun, Vietnam should strengthen partnerships with donor countries. Tailoring projects to align with bilateral donors’ interests can lead to more effective interventions. In addition, multilateral official development assistance has been found to have a negative impact on economic growth in the shortrun, possibly due to complex approval and implementation processes. Therefore, the government should advocate for more flexible project requirements and reduce bureaucratic hurdles. Simplifying the approval process can help accelerate project implementation and enhance immediate economic benefits. Moreover, because official development assistance does not impact on economic growth in the longterm, Vietnam should focus on sustainable development strategies that reduce dependency on external aid. This includes investing in human capital, innovation, and technology to foster endogenous growth. Full article

Research on the impact of fiscal policy and foreign direct investment (FDI) on environmental quality has yielded conflicting results on their effects on carbon dioxide emissions. To further explore the asymmetric influences of these two critical factors on environmental quality, we employed a nonlinear ARDL approach to examine how fiscal policy (GOEX), FDI inflows, and other drivers of CO₂ emissions, such as trade openness, financial development, and economic growth, have affected environmental quality in Vietnam from 1990 to 2022. Our findings indicate that a positive shock in GOEX results in decreased emissions, whereas a negative shock in GOEX leads to increased emissions, challenging previous research that suggests that higher expenditures typically harm the environment. We also observe that positive changes in FDI result in higher CO₂ emissions, whereas negative FDI shifts have no significant impact. Additionally, our study reveals that trade openness improves environmental conditions, whereas economic growth and financial development contribute to increased CO₂ emissions. The responses of CO₂ emissions to the asymmetric effects of fiscal policy, FDI inflows, and other determinants in the short term last in the long term. These insights are valuable for policymakers in developing environmental sustainability strategies to mitigate climate change by addressing fiscal policies and other determinants of CO₂ emissions. Full article

In this study, we present a comprehensive analysis to examine the resilience of tourism in Vietnam since the Doi Moi period. Using an augmented Solow framework, data from 1986 to 2020, and the ARDL approach, we estimate the long-run and short-run effects, whilst accounting for model-specific structural breaks. To provide stronger validation and robustness of the results, we estimate eight models under four cases. We start with the base model, which includes tourism and capital (in per worker terms), and then augment it with factors that are carefully identified from the literature. The additional factors include urbanisation, financial development, trade openness, foreign direct investment (FDI), information and communication technology (ICT), and natural resources. We find that capital accumulation and tourism (in per worker terms) remain positive drivers of growth in all the estimations. Results from alternative models also highlight the pro-growth effects of urbanisation, financial development, and trade openness. A positive association between carbon emissions and economic growth is also noted, indicating the existing production–consumption setup, the pace of environmental harvesting, and the weak decoupling effects that could lead to negative externality in the long run. Factors like technology, natural resource rents, and FDI show negative effects on growth as well. Moreover, by examining the causality dynamics, the study further contributes to broader policy discussion. Hence, policies targeted to promote the growth process, and the advancement of the economy, should continue supporting capital accumulation, tourism development, urbanisation, financial development, and international trade. However, future economic policies should cautiously address emissions, natural resource use, and re-evaluate the gains from foreign direct investment (FDI) to ensure growth remains sustainable. With tourism and capital accumulation at the core of this study, the findings of this study are intended to generate deeper policy discussions on resource allocations and the need to harness and/or rely on contemporary sources of growth to promote the sustainable development of Vietnam. Full article

The rapid economic growth in Southeast Asia has heightened concerns about its environmental sustainability, particularly in relation to CO₂ emissions. Despite the growing focus on climate change mitigation, the region faces significant challenges in balancing economic development, energy transitions, and environmental conservation. Existing studies often overlook the complex interplay between these factors, leaving a critical gap in understanding how tailored strategies can address country-specific dynamics. To bridge this gap, this study introduces the “Sustainable Energy-Environment Nexus” (SEEN) framework, which integrates economic growth, energy transitions, and environmental conservation as interconnected elements necessary for achieving carbon neutrality in both the short and long run. Using data from eight Southeast Asian countries (Indonesia, Malaysia, China, South Korea, Vietnam, Singapore, Thailand, and Japan) over the period 1990–2023, this study employs the Autoregressive Distributed Lag (ARDL) approach and the Vector Error Correction Model (VECM) technique to analyze the relationships between CO₂ emissions, GDP, financial development, forest areas, renewable energy, non-renewable energy consumption, and trade openness. The findings reveal that GDP and non-renewable energy consumption significantly drive CO₂ emissions in countries like Indonesia, Malaysia, Japan, and South Korea. Conversely, forest areas, financial development, renewable energy, and trade openness are effective in reducing emissions in countries such as Vietnam and China. This study highlights the critical role of renewable energy adoption while addressing challenges such as inadequate infrastructure and limited technology transfer. It also identifies opportunities for regional cooperation in innovation and policy harmonization. To support sustainable energy development, tailored policy recommendations include incentivizing investments in renewable energy, enhancing technology transfer, expanding forest conservation efforts, and aligning regional renewable energy targets across ASEAN. The SEEN framework provides a robust foundation for advancing research and policy design aimed at reducing CO₂ emissions and promoting environmental sustainability across Southeast Asia. Full article

Dynamic development of tourism activities and rapid urbanisation in Special Economic Zones (SEZs) can lead to significant land use and land cover changes (LULCCs) and environmental degradation, particularly in ecologically sensitive areas. This study examines the transformation of land use and its associated impacts on habitat quality and thermal environment in Phu Quoc Island (Vietnam) over a 20-year period (2003–2023). Using multi-temporal Landsat satellite imagery and random forest classification, we quantify LULCCs and assess the environmental consequences of urban expansion on habitat degradation and intensification of the island’s thermal environment, focusing on land surface temperature (LST) changes. Our analysis reveals that rapid urbanisation, driven by large-scale tourism and infrastructure developments, has led to a significant loss of forest and farmland, leading to a 5.6% decline in habitat quality and a marked increase in LST. The study also highlights the uneven distribution of urban growth, with the majority of expansion occurring in the southern and central regions of the island. By applying the InVEST Habitat Quality Model, we identify key zones of habitat degradation and offer insights into the spatial patterns of environmental sensitivity and changes. Our findings underscore the need for integrated land use planning and sustainable development strategies to mitigate the negative environmental impacts of SEZ-driven urbanisation on island ecosystems. This research provides critical guidance for policymakers, planners, and environmental managers to balance economic growth with environmental conservation in fragile island environments. Full article

The fashion industry, which stands out for its creativity and dynamism, has multidimensional impacts in terms of environmental sustainability from raw material extraction to waste management. The textile and fashion industries are criticized for posing significant threats to the ecosystem, biodiversity, and human health by negatively impacting air, water, and soil quality throughout the cycle, from production and distribution to consumption and disposal. By focusing on five emerging economies among the top ten textile exporters, this study focuses on an empirical examination of the nexus between the fashion and textile industry, energy consumption, economic growth, and carbon dioxide emissions. This study fills the existing quantitative research gap in the fashion sector. It provides a comprehensive review that analyzes the environmental impacts in the sector to adopt more sustainable and effective policies. After acknowledging the structural breaks in the sample covering 1980–2023, novel Fourier bootstrapping ARDL and Fourier Granger Causality methods are adopted to examine the long- and short-run interconnections and the directions of causality in a comparative setting for China, Türkiye, India, Bangladesh, and Vietnam. The results confirmed the positive effects of textiles and fashion as well as energy consumption and economic growth with varying magnitudes for the countries examined. The causality tests confirmed varying and complex unidirectional and bidirectional causality and feedback effects among the variables examined depending on the country analyzed, in addition to identifying common causal effects from textile and fashion to environmental degradation. The findings are of great importance and have significant policy implications. Full article

This study employed dynamic material flow analysis (MFA) and mass balance principles to examine copper flows in Indonesia, Malaysia, the Philippines, Thailand, and Vietnam from 1960 to 2020, with projections extending to 2050 using five shared socioeconomic pathway (SSP) scenarios. We applied the secondary resources classification framework to assess secondary copper resources and their recoverability in these countries. The results indicated that total copper stocks across these countries would continue to rise, with Indonesia’s copper stock projected to reach around 5000–12,000 kt by 2050, the highest among the five nations. In 2022, Malaysia had the highest per capita copper stock at 100 kg/person, although all countries were expected to remain below the per capita stock levels seen in major copper-consuming developed countries by 2050. Copper demand was projected to increase by 118–238 kt annually from 2023 to 2050, leading to a significant rise in end-of-life copper scrap. By 2050, secondary copper reserves in Indonesia were estimated to reach 4096 kt, with similar growth trends observed in other countries (3898 kt in Thailand, 3290 kt in Vietnam, 3096 kt in Malaysia, and 2564 kt in the Philippines). This highlights both the potential for resource recovery and the need for improved waste management. If recycling rates increase to 80–90%, secondary reserves could meet up to 42–65% of the copper demand in 2050. However, current recycling rates remain well below this potential, underscoring the urgent need for better waste management systems. This study emphasizes the balance between economic development and resource sustainability, offering critical insights for policymakers to improve recycling efficiency and reduce reliance on primary copper sources. Full article

Vietnam is a country highly vulnerable to climate change. Specifically, climate change has seriously impacted all aspects of Vietnam’s economic and social life, especially agricultural production. In this article, we focus on analyzing the current situation and the impacts of climate change on agricultural production and food security in Vietnam, especially in the Mekong River Delta (MRD) region. Vietnam’s climate change scenarios (RCP4.5 and RCP 8.5) have warned of serious increases in temperature, rainfall, and sea level rises for the MRD in coming times. This will lead to a risk of flooding in nearly 50% of the region’s area and will seriously affect agricultural production in many aspects such as soil quality degradation, scarcity of water resources, increased droughts and floods, reduced crop productivity, and so on. These impacts will reduce Vietnam’s food supply capacity, but do not compromise national food security from a short-term perspective. Faced with this situation, the Government of Vietnam has implemented many comprehensive measures to transform agriculture towards ecology, sustainability, and low carbon emissions, with the goal of green growth and neutral carbon emissions by 2050. In particular, the focus is on combining nature-based solutions with the application of modern science and technology in agricultural production, raising awareness and the response capacity of domestic people, with international cooperation in addressing climate change issues. Full article

The Greater Mekong Subregion (GMS) economic cooperation program is an effective and fruitful regional cooperation initiative for socioeconomic development in Asia; however, the vegetation change trends and directions in the GMS caused by rapid development remain unknown. In particular, there is a current lack of comparative studies on vegetation changes in various countries in the GMS. Based on the MODIS normalized difference vegetation index (NDVI) time series data, this study analyzed the spatiotemporal patterns of vegetation coverage and their trends in the GMS from 2000 to 2022 using the Theil–Sen slope estimation, the Mann–Kendall mutation test, and the gravity center migration model. The key findings were as follows: (1) the NDVI in the GMS showed an overall upward fluctuating trend over the past 23 years, with an annual growth rate of 0.11%. The NDVI changes varied slightly between seasons, with the greatest increases recorded in summer and winter. (2) The spatial distribution of NDVI in the GMS varied greatly, with higher NDVI values in the north–central region and lower NDVI values in the south. (3) A total of 66.03% of the GMS area showed increments in vegetation during the studied period, mainly in south–central Myanmar, northeastern Thailand, Vietnam, and China. (4) From 2000 to 2022, the gravity center of vegetation greenness shifted northward in the GMS, especially from 2000 to 2005, indicating that the growth rates of vegetation in the north–central part of the GMS were higher than those in the south. Furthermore, the vegetation coverage in all countries, except Cambodia, increased, with the most pronounced growth recorded in China. Overall, these findings can provide scientific evidence for the GMS to enhance ecological protection and sustainable development. Full article

Vietnam heavily relies on pork as its primary source of animal protein. Traditional farming methods, characterized by small-scale operations, dominate the industry. However, challenges such as rising feed costs, disease outbreaks, and market volatility are prompting many farmers to abandon their businesses. Recognizing the pivotal role of the swine sector in both economic development and nutrition, authorities must intervene to prevent its collapse. In developed nations, smart pig farming, utilizing technologies like sensors and cameras for data collection and real-time decision-making, has significantly improved health and productivity. These technologies can detect subtle indicators of animal well-being, enabling prompt intervention. This review aims to analyze the drivers of Vietnam’s swine farming, identify existing production system flaws, and explore innovative precision farming methods worldwide. Embracing precision farming promises to enhance Vietnam’s competitiveness in export markets and bolster consumer confidence. However, reliance solely on expensive foreign technologies may benefit large-scale farms, leaving smaller ones behind. Therefore, fostering local innovation and validating cost-effective solutions will be crucial for the sustainable growth of small- and medium-scale pig farming in Vietnam. Full article

The population growth of South-Asian countries is contributing significantly to the escalating volume of municipal solid waste (MSW). Presently, waste management in this region predominantly relies on landfilling, necessitating a shift towards a more sustainable paradigm. To address this imperative, this study explores the feasibility of extending the European-based waste management system for treating MSW in Cambodia, Thailand, and Vietnam. Assuming as current scenario the direct disposal in landfill, the environmental and technical performances of five other proposed scenarios based on the following technologies were assessed: mechanical–biological treatment; incineration; their combination; mechanical recycling; composting and anaerobic digestion. As expected, all alternative technologies showed potential for improving the current scenario. However, from an environmental point of view, incineration of mixed MSW emerged as the sole option that yielded a discernible environmental benefit for all the countries involved in the study (achieving a carbon footprint of about −0.111 t-CO₂-Eq./FU). Recycling-based scenarios achieved higher benefits for Thailand and Vietnam (−0.145 and −0.186 t-CO₂-Eq./FU, respectively), but not Cambodia (0.072 t-CO₂-Eq./FU) due to the lack of valuable materials to recycle. Technical findings showed how separate collection remains the system generating the least amount of waste for disposal (about 0.185 t), having a synergic effect on the combined approach of mechanical–biological treatment and incineration, which boasts the highest specific energy yield (about 0.339 and 1.183 kW/t, for electric and thermal energy, respectively). These results underscore the imperative to extend the analysis to the economic domain, combining diverse criteria to identify the most sustainable solution. Full article

Sustainable development is a subject of study and consideration by scientists and policymakers, especially the sustainable development of the night-time economy. The night-time economy refers to the various economic activities and businesses that primarily operate during the evening and night hours, typically from 6 p.m. until early morning. It includes a diverse range of sectors such as entertainment, dining, hospitality, and nightlife, with establishments such as bars, clubs, restaurants, theaters, and live music venues playing a significant role. The development of the night-time economy refers to the process of managing and promoting the growth of economic activities during the evening and night hours in a manner that balances economic, social, and environmental considerations. Therefore, the paper aimed to identify the factors affecting the night-time economy in Hanoi to achieve the sustainable development of this economy. The paper processed and analyzed the data using SPSS Statistics 26.0 software. The quantitative study included (1) testing the suitability of the scale for the variables using Cronbach’s alpha, (2) analyzing the EFA factors to check the convergence of the observed variables and the separation between the independent variables, (3) checking the correlation to evaluate the problem of multicollinearity of the model, and (4) performing regression analysis to evaluate the impact of the factors on night-time economic development in Hanoi City. The empirical results showed that the variables positively impacted night-time economic development in Hanoi. However, the study found differences in the levels of their impact. Among the four factors, factor 3 (promotion and sharing) had the strongest impact on night-time economic development, followed by factor 2 (city infrastructure and safety), factor 1 (institutions and environment), and factor 4 (nature and resources). The empirical results will help policymakers promote the sustained development of the night-time economy in Hanoi, Vietnam. Full article