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This paper aims to investigate whether official development assistance (ODA) inflows to developing countries (lower-middle and low income) can cause the symptoms of Dutch disease or not.

This study applies the methodology of dynamic panel data estimation with a one-step system generalized methods of moment (GMM) for the sample of 59 developing countries from 2001 to 2019.

The results indicate that ODA (as a percentage of gross domestic product (GDP)) rises by 1%, the real effective exchange rate (REER) appreciates by 0.252%. This finding reveals that these selected developing countries have faced the symptoms of Dutch disease. The countries with the higher ODA ratio have a higher effect of the Dutch disease, and the managed floating exchange rate regime is the lowest impacted, when compared to the fixed and flexible exchange rate.

The selected countries are recommended to use ODA inflows right and efficiently. These ODA inflows should be invested in productive sectors or support for production rather than in consumption. The managed float exchange rate regime is applied to reduce the symptom of Dutch disease for the selected countries. The good cooperation of monetary and fiscal policies is important to absorb the huge ODA inflow and sterilize the adverse effects of the disease.

The paper contributes to the literature and empirical of the Dutch disease. An adverse effect of the huge ODA inflow to the developing countries appreciated of the real exchange rate and caused the symptom of the dutch disease.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-12-2022-0777

This paper aims to examine the impact of bank managerial ability on the cost of loans using an extensive data set of US banks from 2001:Q1 to 2021:Q2.

First, the authors use multiple fixed-effects estimation to estimate the impact of managerial ability on bank loan pricing. In addition, the authors also perform different econometrics regression methods to test the robustness of the model including: Prais–Winsten regression, Newey–West regression and the Fama McBeth method, instrumental variable regression, propensity score matching method and quantile regression.

The results show that banks with higher managerial ability tend to provide loans with lower costs, and this effect is stronger at larger banks. In addition, research results from the quantile regression model show that the negative impact of managerial ability on the cost of loans will be stronger at banks with higher lending costs.

To the best of the authors’ knowledge, this study is one of the first to investigate this relationship between managerial ability and bank loan pricing from the supply side. In addition, this paper examines the impact of bank managerial ability on the loan costs of banks of different sizes, as well as differs across the distribution of the dependent variable. Therefore, this paper is of particular interest to regulators and policymakers.

“The world needs science, science needs women” is the message given by UNESCO in the program for the development of women in science” (UNESCO, 2017). In Vietnam, women’s participation and achievements in scientific research is considered a great and important resource for industrialization and modernization. Even so, are there gender differences in scientific achievement in the social science research institutes in Vietnam? What factors influence the scientific achievement of female social researchers? The answers will be based on data from a 2017 survey with a sample of 756 researchers, of which 77.6% were female. The survey was conducted by the Vietnam Academy of Social Sciences, a leading, ministry-level national center for the social sciences in Vietnam. This chapter analyzed the scientific achievements of researchers through their position as principal investigators of research projects and their publications, and factors that may impact this. Bivariate and multivariate analyses of factors that may affect the scientific achievement of researchers found that gender differences in academic achievement in the social sciences in Vietnam was still prevalent. Female researchers’ scientific achievements were lower than those of their male counterparts. The contribution to science of Vietnamese female researchers was limited by many different factors; the most important were the academic rank of the researchers and gender stereotype that considered housework the responsibility of women.

This chapter provides information on the development of Vietnamese education under the influence of global forces based on the analysis of relevant education research and policies using Wolhuter’s frameworks. In the process of coming up with ways to develop education in the face of different influences of globalization, besides having reactions with patterns commonly found in countries around the world, Vietnam also has responses that reflect its own political, sociocultural and economic characteristics. The state still plays a controlling role in education at all levels and many culture-related features that have existed throughout the country’s history have hardly changed, namely aspects related to teachers, learners and teaching and learning methods. To sustain its education in the globalized era, Vietnam must make more efforts in various aspects such as the link between education and employment, the logic of education objectives, the feasibility and appropriateness of curricula, quality of education, especially of higher education and equality in education for underprivileged groups.

This study aims to evaluate the impact of climate change on some specific areas of agricultural production in Quang Nam Province, including assessing the possibility of losing agricultural land owing to sea level rise; assessing the impact on rice productivity; and, assessing the impact on crop water demand.

This study used the method of collecting and processing statistics data; method of analysis, comparison and evaluation; method of geographic information system; method of using mathematical model; and method of professional solution, to assess the impacts of climate change.

Evaluation results in Quang Nam Province show that, by the end of the 21st century, winter–spring rice productivity may decrease by 33%, while summer–autumn rice productivity may decrease by 49%. Under representative concentration pathway (RCP) 4.5 scenario, water demand increases by 31.1% compared to the baseline period, of which the winter–spring crop increases by 28.4%, and the summer–autumn crop increased by 34.3%. Under RCP 8.5 scenario, water demand increases by 54.1% compared to the baseline period, of which the winter–spring crop increases by 46.7%, and the summer–autumn crop increased by 63.1%. The area of agricultural land likely to be inundated by sea level rise at 50 cm is 418.32 ha, and at 80 cm, it is 637.07 ha.

To propose adaptation solution to avoid the impacts of climate change on agriculture, it is necessary to consider about the impact on losing land for agriculture, the impact on rice productivity, assess the impact on crop water demand and other. The result of this assessment is useful for policymakers for forming the agriculture development plan.

The purpose of this paper is to expand and analyze deeply customer emotions, concretize the levels of positive or negative emotions with the aim of using machine learning methods, and build a model to identify customer emotions.

The study proposed a customer emotion detection model and data mining method based on the collected dataset, including 80,593 online reviews on agoda.com and booking.com from 2009 to 2022.

By discerning specific emotions expressed in customers' comments, emotion detection, which refers to the process of identifying users' emotional states, assumes a crucial role in evaluating the brand value of a product. The research capitalizes on the vast and diverse data sources available on hotel booking websites, which, despite their richness, remain largely unexplored and unanalyzed. The outcomes of the model, pertaining to the detection and classification of customer emotions based on ratings and reviews into four distinct emotional states, offer a means to address the challenge of determining customer satisfaction regarding their actual service experiences. These findings hold substantial value for businesses operating in this domain, as the findings facilitate the evaluation and formulation of improvement strategies within their business models. The experimental study reveals that the proposed model attains an exact match ratio, precision, and recall rates of up to 81%, 90% and 90%, respectively.

The study has yet to mine real-time data. Prediction results may be influenced because the amount of data collected from the web is insufficient and preprocessing is not completely suppressed. Furthermore, the model in the study was not tested using all algorithms and multi-label classifiers. Future research should build databases to mine data in real-time and collect more data and enhance the current model.

The study's results suggest that the emotion detection models can be applied to the real world to quickly analyze customer feedback. The proposed models enable the identification of customers' emotions, the discovery of customer demand, the enhancement of service, and the general customer experience. The established models can be used by many service sectors to learn more about customer satisfaction with the offered goods and services from customer reviews.

The research paper helps businesses in the hospitality area analyze customer emotions in each specific aspect to ensure customer satisfaction. In addition, managers can come up with appropriate strategies to bring better products and services to society and people. Subsequently, fostering the growth of the hotel tourism sector within the nation, thereby facilitating sustainable economic development on a national scale.

This study developed a customer emotions detection model for detecting and classifying customer ratings and reviews as 4 specific emotions: happy, angry, depressed and hopeful based on online booking hotel websites agoda.com and booking.com that contains 80,593 reviews in Vietnamese. The research results help businesses check and evaluate the quality of their services, thereby offering appropriate improvement strategies to increase customers' satisfaction and demand more effectively.

The paper aims to examine the impact of tighter banking regulation on banks’ loan loss provisioning in an emerging market context.

The authors exploit the adoption of the Basel II Accord in Vietnam as a quasi-natural experiment and use Difference-to-Difference (DiD) method to examine the impact of tighter banking regulation on Vietnamese banks’ provisioning during the period of 2010–2019.

The paper finds that affected banks (i.e. those taking part in the pilot adoption programme) manage to reduce their provisions significantly compared to their control peers in the post-adoption period. More importantly, this paper further finds that the affected banks manage their provisions primarily for incomes smoothing and signalling. This paper also finds that those banks expand their lending significantly and experience an increase in financial performance in the post-adoption period. Overall, the results provide supports for the “borrowing from the future” proposition that banks may perceive that a tighter banking regulation provides them with growth opportunities, so they have the tendency to manipulate their provisions to facilitate their current income.

This paper contributes to the established literature on the manipulation of bank provisioning as well as the impact of banking regulation, and especially Basel II on bank economic decisions. As compared to prior literature, the adoption of Basel II in Vietnam provided an ideal shock for us to conduct a DiD design to estimate the causal impact of tighter banking regulation on banks’ provisioning practices.

This study aims to investigate the cognitive factors and e-social interactions that influence the green purchase intention of Vietnamese consumers.

This study conducted the survey with 453 samples of young consumers in Vietnam, using the partial least squares structural equation modeling approach to evaluate the measurement quality to deal with research objectives.

The findings of this study demonstrate that cognitive factors positively impact green purchase intentions in Vietnam. Moreover, the analysis revealed that the attitude variable played a mediating role in this model, whereas the social norms factor did not.

This study presents several valuable findings on the green purchase intentions of young Vietnamese consumers. Therefore, the results can potentially advance and strengthen green purchasing theories in the Vietnamese market. Moreover, the recommendations indicate that cognitive factors and e-social interactions are crucial in shaping green purchasing intentions among Vietnamese consumers. Thus, it is suggested that the firms in the Vietnamese market focus on green marketing based on leveraging these factors.

This work provides a valuable contribution to the knowledge related to cognitive and e-social interactions among young Vietnamese consumers. It demonstrates the significant impact of these elements on green purchase intentions through e-commerce.

The purpose of this paper is to trace the way in which a popular ritual became one of Vietnam’s most important festivals, elevated as a celebration of national heroism and charts its gradual transformation in modern society.

This research focuses on the combination of a fertility rite and narratives of St Gióng based on nationalism or heroism created a special festival reflecting many traditional cultural characteristics of Vietnam and the Việt people and the transformation of St Gióng from a mythological to a national symbol of heroism in anti-invader history was recorded in texts.

The paper casts light on the mythologization and historicization of St Gióng in Vietnam’s particular historical context by decoding the Gióng symbol as a core element of the folktales and myths about St Gióng to understand the formation and development of St Gióng in the cultural history of Vietnam.

The paper is not exploring the Gióng symbol within a larger cultural context of nationalism and ethnosymbolic approach in a comparison of national symbolism and heroism.

The paper includes implications for advised scholars to conduct further exploration of the symbol and myth of not only St Gióng in Vietnam but also Kubera in India and Vaisravana in China to connect Kubera, Vaisravana and St Gióng under the connection of literal myth and heroic symbol.

The paper shows how processes of historicizing myth and mythologizing history are important features of Vietnamese socio-historical research.

The paper shows how a fertility rite became a historical festival and the figure of St Gióng became a symbol of patriotic heroism.