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In the transitional process of promoting market-oriented interest rate, China is confronted with an important theoretical and practical issue: how to avoid bank runs and realize the smooth operation of the financial system. The purpose of this paper is to construct a bank-run dynamic model by taking into account a market environment with the transmission of multiple rounds of noise information, a comprehensive consideration of depositors’ expectation of return on assets (or earning rate/yields of assets), the efficiency of information processing and dissemination, and the different motives for premature withdrawal.

The authors discussed the dynamic process of bank runs, furnished the ratio and number of each round of bank run, and characterized the corresponding dynamic equilibrium as well. Furthermore, the authors expanded the benchmark model by incorporating the deposit insurance system (DIS) to discuss the action mechanism of DIS overruns.

The results show that DIS implementation has two opposite effects: stabilized expectation and moral hazard, by virtue of its influence over the two types of premature withdrawal motives of depositors; the implementation effect of DIS rests with the dual-effect comparison, which is endogenous to the institutional environment.

The policy implications are as follows: while implementing DIS, it is necessary to establish and improve the corresponding institutional construction and supporting measures, to consolidate market discipline and improve the supervisory role of the bank’s internal governance mechanism, so as to reduce the potential moral hazards. The financial system reform shall be furthered and the processing and dissemination efficiency of information be elevated to prompt depositors to form stable withdrawal expectations, thereby enhancing the stabilizing effect of DIS.

In this paper we examine the validity of the J-curve hypothesis in four Southeast Asian economies (Indonesia, Malaysia, the Philippines and Thailand) over the 1980–2017 period.

We employ the linear autoregressive distributed lags (ARDL) model that captures the dynamic relationships between the variables and additionally use the nonlinear ARDL model that considers the asymmetric effects of the real exchange rate changes.

The estimated models were diagnostically sound, and the variables were found to be cointegrated. However, with the exception of Malaysia, the short- and long-run relationships did not attest to the presence of the J-curve effect. The trade flows were affected asymmetrically in Malaysia and the Philippines, suggesting the appropriateness of nonlinear ARDL in these countries.

The previous research tended to examine the effects of the real exchange rate changes on the agricultural trade balance and specifically the J-curve effect (deterioration of the trade balance followed by its improvement) in the developed economies and rarely in the developing ones. In this paper, we address this omission.

This paper aims to examine the existence of the ripple effect from Amsterdam to the housing markets of other regions in The Netherlands. It identifies which regional housing markets are influenced by house price movements in Amsterdam.

The paper considers the ripple effect as a lead-lag effect and a long-run convergence between the Amsterdam and regional house prices. Using the real house prices for second-hand owner-occupied dwellings from 1995q1 to 2016q2, the paper adopts the Toda–Yamamoto Granger Causality approach to study the lead-lag effects. It uses the autoregressive distributed lags (ARDL)-Bounds cointegration techniques to examine the long-run convergence between the regional and the Amsterdam house prices. The paper controls for house price fundamentals to eliminate possible confounding effects of common shocks.

The cumulative evidence suggests that Amsterdam house prices have influence on (or ripple to) all the Dutch regions, except one. In particular, the Granger Causality test concludes that a lead-lag effect of house prices exists from Amsterdam to all the regions, apart from Zeeland. The cointegration test shows evidence of a long-convergence between Amsterdam house prices and six regions: Friesland, Groningen, Limburg, Overijssel, Utrecht and Zuid-Holland.

The paper adopts an econometric approach to examine the Amsterdam ripple effect. More sophisticated economic models that consider the asymmetric properties of house prices and the patterns of interregional socio-economic activities into the modelling approach are recommended for further investigation.

This paper focuses on The Netherlands for which the ripple effect has not yet been researched to the authors’ knowledge. Given the substantial wealth effects associated with house price changes that may shape economic activity through consumption, evidence for ripples may be helpful to policy makers for uncovering trends that have implications for the entire economy. Moreover, the analysis controls for common house price fundamentals which most previous papers ignored.

This paper aimed examining the contribution of female labour force participation rate on economic growth in the sub-Saharan Africa during the period of 1991–2019.

The study employed a sample of 42 sub-Sahara African countries using annual data from the World Bank development indicators. The long-run causal effect of female labour force and economic growth was analysed using the Autoregressive Distributed Lag model and Granger causality test for causality and direction since the variables did not have the same order of integration.

The estimated results indicate that a long-run causal relationship exists between female labour force and economic growth in sub-Sahara Africa and the direction of causality is unidirectional running from economic growth to female labour force. The results also showed that female labour force participation rate negatively and significantly contributes to economic growth (GDP) is sub-Saharan Africa in the long run with an insignificantly negative contribution in the short run hence a liability.

The author recommends the promotion of women's economic empowerment to encourage female labour force participation to increase economic growth in the entire sub-Saharan region.

This paper adds to existing literature by using more comprehensive and up to econometric analysis and variables. This paper also makes further recommendation on how female labour force participation can boost economic growth in sub-Saharan Africa (SSA).

This paper adds to existing literature by using more comprehensive and up to econometric analysis and variables. This paper also makes further recommendation on how female labour force participation can boost economic growth in SSA.

This paper aims to introduce vehicular network platform, routing and broadcasting methods and vehicular positioning enhancement technology, which are three aspects of the applications of intelligent computing in vehicular networks. From this paper, the role of intelligent algorithm in the field of transportation and the vehicular networks can be understood.

In this paper, the authors introduce three different methods in three layers of vehicle networking, which are data cleaning based on machine learning, routing algorithm based on epidemic model and cooperative localization algorithm based on the connect vehicles.

In Section 2, a novel classification-based framework is proposed to efficiently assess the data quality and screen out the abnormal vehicles in database. In Section 3, the authors can find when traffic conditions varied from free flow to congestion, the number of message copies increased dramatically and the reachability also improved. The error of vehicle positioning is reduced by 35.39% based on the CV-IMM-EKF in Section 4. Finally, it can be concluded that the intelligent computing in the vehicle network system is effective, and it will improve the development of the car networking system.

This paper reviews the research of intelligent algorithms in three related areas of vehicle networking. In the field of vehicle networking, these research results are conducive to promoting data processing and algorithm optimization, and it may lay the foundation for the new methods.

This paper examines the correlation of economic policy uncertainty (EPU) with nonperforming loans and loan loss provisions for 22 major developed countries over the 2008–2017 period.

The study used the Pearson correlation methodology to assess the correlation between EPU, bank nonperforming loans and loan loss provisions.

The findings reveal that EPU is negatively correlated with nonperforming loans and loan loss provisions in the banking sector of EU countries but not for non-EU countries. Also, EPU is negatively correlated with nonperforming loans in the banking sector of the most advanced economies – the G7 countries, while loan loss provisions are more responsive to changes in EPU than NPLs in EU countries.

The implication of the findings is that the correlation of EPU with loan loss provisions and nonperforming loans is influenced by regional characteristics.

This study is the first to analyze the association of EPU with bank nonperforming loans and loan loss provisions under regional classifications such as the EU, non-EU and the G7 countries. This study provides insights on how regional differences might explain the co-movement of EPU with bank nonperforming loans and loan loss provisions.

This paper investigates the announcement effect of shipping sale-and-leaseback (SLB) transactions. As an emerging source of financing, a growing deal of interest has been paid to the SLB. However, little is known about a variety of aspects of SLB transactions in the shipping industry. In this regard, this study examines the stock market reaction to the SLB announcements of shipping firms and their impact on shareholders' wealth.

A sample of 15 shipping SLB deals commenced by publicly listed Korean shipping companies during 2009–2023 are examined in this research. The announcement effect is measured by abnormal returns (AR) of their stocks based on the event study analysis.

It is found that the AR on the shipping SLB announcement date is, on average, −0.84% while there is no statistical significance. However, the results indicate that shareholders of shipping companies engaging in large-sized SLBs can experience positive AR around the announcement date.

This study is the first attempt to investigate the announcement effect of SLB transactions on the shipping industry and their impact on shareholders' wealth. The findings in this research can offer implications for the financing decisions of shipping companies and investment decisions of stock investors.