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This study estimates impact of remittances from internal migration on households' use of bank services in Vietnam.

This study uses data from the Vietnam Household Living Standards Survey and the two-stage least squares method (2SLS).

The results show that receiving internal remittance increases households' probability of having bank accounts and using card services. However, these impacts are different between rural and urban areas.

The results of this study reveal the useful role of internal remittance in increasing the probability of households using bank services, thereby enhancing financial inclusion in Vietnam.

Different from the previous studies, the purpose of this paper is to analyse the impact of internal remittance on the use of bank services in Vietnam at the household level. This paper targets internal migration because it is the main type of migration in Vietnam. Besides, to the best of the authors’ knowledge, this research is the first one that compares the role of internal remittance on households' use of bank services in rural and urban areas in Vietnam.

The purpose of this paper is to assess the impact of sectoral economic growth and other factors on poverty reduction in Vietnam in the period 2010–2016.

Originating from the question of whether there is an endogenous problem between the structure of economic growth by sector and some other factors in the process of impact on poverty reduction, the paper has used the 2-Stage Least Squares method to deal with the endogenous issues.

Increasing the proportion of the industrial sector and the agricultural sector had great impacts on poverty reduction. In contrast, the increasing proportion of the service sector made the poverty rate higher. One noticeable thing is that economic growth was not significant for the goal of poverty reduction in 2010–2016. In addition, the process of urbanization, the increase in the labor rate and literacy rate contributed positively to poverty reduction achievements. Finally, population growth was also one of the reasons hindering Vietnam’s successful poverty reduction process.

Accelerating the process of economic restructuring in the direction of increasing the proportion of the industry is accompanied by more attention to agricultural development than the service sector. Employment creation policies should be promoted. Maintaining population control by educating poverty reduction awareness for the poor will have a positive effect on long-term poverty reduction.

Research on the growth structure by sector affecting poverty reduction in Vietnam is still relatively limited. The study of relationships in the context of endogenous existence is still quite limited in Vietnam. Therefore, this paper has focused on the question of sectoral economic growth affects poverty in the interrelation among sectors in the process of economic development.

The aim is to examine the long run and short run linear and non-linear impact of foreign direct investment (FDI) inflows on poverty in Nigeria from 1980 to 2019.

The Augmented Dickey Fuller, Phillips Perron and Kwiatkowski-Phillips-Schmidt-Shin unit root tests and bounds test were used to tests the series stationarity and co-integration, respectively. Autoregressive Distributive Lag (ARDL) and non-linear and linear autoregressive Distributive Lag (NARDL) estimators are employed to examine the long run and short run impact of the coefficients of the variables and diagnostic check.

The study finds that the variables are integrated at a level I(0) and the first difference I(I) and co-integrated. The ARDL estimator indicates that FDI significantly reduces poverty in the long and short run. The findings under NARDL shows FDI positive shock and FDI negative shock reduces poverty substantially in the long-short run, respectively. The error correction term is negative and significant.

This study is limited to a single country (time series) and less informative compared with the panel data study with much informative and free from hetero-scedasticity. Future studies should consider panel data using a similar or dissimilar approach.

FDI inflows stimulate growth, thereby creating job openings, transfer of modern technology and reduce poverty and demonstrate that, if the finding integrated into policy actions, the government would attract FDI inflows for the real sector of the economy.

FDI inflows lead to environmental degradation if inferior technology is use in the host economy, especially the weak environmental regulations in Nigeria.

The authors find no study that applied both ARDL and NARDL estimator, selection of variables measurement and time frame for the study in the context of Nigeria.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-08-2020-0530.

This research aims to specialise in the investigation of risk management for service-oriented manufacturing supply chains via two stages, highlighting its differences from manufacturing. The research article is commenced by executing an encyclopedic review of earlier research to ascertain the distinctive traits of service-oriented manufacturing supply chains and identify prevalent risks. Secondly, an empirical study in the construction field, amongst the industry hardest struck in the mist of the COVID-19 epidemic, is conducted to thoroughly inspect the resonant effect of these risks on service-oriented manufacturing supply chain performance.

In this study, to validate the resonant effect mechanism, a thorough assessment is undertaken by juxtaposing theoretical model to a newly constructed comparative model that encompasses the single effects of risks on supply chain performance.

63% variance of service-oriented manufacturing supply chain performance was showcased by the resonant effect model, compared with 46.3% in the comparative model. Moreover, each risk exerts a more glaringly significant impact on supply chain performance, asserting the mechanism of the resonant influence. Another noteworthy result involves the demand risk possessing a low effect on supply chain performance, thus emphasising the superiority of service-oriented manufacturing supply chains.

Future research endeavours should hinge on the optimal “resonant” model explosion, thereby foreseeing and alleviating worst-case scenarios to guarantee the robustness and resilience of supply chain networks.

Indubitably, reducing the intensity of the resonant effect revolves around lowering the coefficient of “a,” thereby restricting/eliminating the link among risks. Therefore, the suggested resonant impact model might thus serve as “a road map”. In light of the aforementioned considerations, it is advisable that supply chain executives employ supply chain management tactics namely avoidance, prediction, and postponement, but only after meticulous consideration the costs and benefits of adopting such strategies.

The service-oriented manufacturing supply chain features and advantages have been analysed and explained throughout the article. The data gathered during the COVID-19 pandemic is a captivating and topical point of this paper.

The Vietnamese Mekong River Delta (VMD) is one of the most affected deltas by climate change in the world. Several studies have investigated factors influencing farmers' climate change adaptation behaviors in the region; however, little is known about the effectiveness of such measures. This paper examines the determinants of adaptation strategies among VMD rice farmers and assesses the impacts of such practices on rice yield.

Endogenous switching regressions were employed using a survey data of 300 rice-producing households in An Giang and Tra Vinh provinces in 2016.

The results show that farmers receiving early disaster warnings are more likely to adopt adaptation measures to climate change. If nonadaptors had chosen to respond, their rice yield would have increased by 0.932 tons/ha/season.

The data sample is small and collected from two provinces in the VMD only; therefore, the results may be specific for the study sites. However, future research can adopt the proposed method for other regions.

The study estimates the production impacts of farmers' decisions on whether or not to adapt to extreme climate events. The proposed approach allows for capturing both observed and unobserved behaviors.

The present study is performed to identify the propagation mechanism of the ripple effect as well as examine the simultaneous impact of risks on supply chain (SC) performance.

A theoretical framework with many hypotheses regarding the relationships between SC risk types and performance is established. The data are collected from a large-scale survey supported by a project of the Japanese government to promote sustainable socioeconomic development for the Association of Southeast Asian Nations (ASEAN) region, with the participation of 207 firms. Structural equation modeling (SEM) is used to test the hypotheses of the theoretical framework.

It is indicated that human-made risk causes operational risk, while natural risk causes both supply risk and operational risk. Furthermore, the impacts of human-made risk and natural risk on performance are amplified through operational risk.

This study is one of the first attempts that identifies the propagation mechanism of the ripple effect and examines the simultaneous impact of risks on performance in construction SCs.

Although many studies on risk management in construction SCs have been carried out, they mainly focus on risk identification or quantification of risk impact. It is observed that research on the ripple effect of disruptions has been very scarce.

Proactive risk assessment suggests that risk assessment should emphasize the consequences that it might cause and the opportunities it might create for firms. Hence, this study aims to validate risk impact on supply chain performance in the context of the Vietnamese construction sector. Also, a complex network, in which multiple risk factors mutually affect, impede or promote each other, is developed to assist managers in tackling unpredictable risks proactively. In particular, the authors investigate whether certain risks could be considered either challenges or opportunities for businesses in turbulent times to improve SC performance.

The construction industry is the focal study context as it is one of the most essential industries in charge of providing accommodations, infrastructures and employment for society. 289 valid responses used in this research are from a large-scale survey result, supported by a Japanese government project promoting sustainable socio-economic development in Vietnam.

From the study findings, the authors find that external risk brings opportunities for supply chain performance. Meanwhile, demand risk, when it occurs, can reduce the danger level of operational risk, which is an interesting finding of this research. It is evident that when multiple risk factors mutually affect, impede or promote each other, it provides a more meaningful examination of mutually interconnected supply chain risks.

Practitioners should perceive risks as an opportunity than a threat. This study contributes to preventing risks and guaranteeing an effective and efficient supply chain by tackling unpredictable risks in a disruptive period. Moreover, data on validating research models collected during the Covid-19 pandemic and Ukraine and Russia conflicts reflect the topicality of this study.