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The purpose of this study is to examine empirically the impacts of gender differences, telecommunication technology (ICT) and other determinants on private savings in 28 selected Asia–Pacific countries.

This study employs the panel data from 2010 to 2017 across 28 selected Asia–Pacific countries. To enhance robustness and address the possibility of endogeneity issue, the present study utilises the fixed effect instrumental variable (IV) estimator to estimate the private savings model for Asia–Pacific region.

The present study finds that private savings is positively related to disposable income and ICT, but it is negatively associated with the degree of dependency. However, the association between interest rates and private savings are inconclusive as both positive substitution and negative income effects on private savings were observed. Moreover, the results also indicate that working females tend to save less than working males and that of the educated female, despite their impacts are varied across educational attainment levels.

This study provides a novel insight into private savings patterns by focussing upon the gender differences and ICT aspects. In stark contrast to previous literature on the issue, the authors find that working and educated females negatively impact private savings in Asia–Pacific economies due to income inequality and consumption habits. However, the results show that ICT accelerates private savings as it provides easy access to financial services and the requisite frameworks, such as e-business platforms, for generating passive income as well as provide the modalities for more cost-efficient shopping such as price and product comparison frames that yield costs savings which can then be potentially channelled into private savings.

Asia has been transformed into a well-regulated dynamic platform for trade and is today world’s fastest-developing economic region. However, the increasing cross-border economic activities create new opportunities for corruption. The purpose of this paper is to assess the impact of corruption on trade facilitation using logistics performance index (LPI). This paper also examines the moderating effect of governance or government effectiveness (GE) on the relationship between corruption and LPI within Asian countries.

A panel of time-series data from year 2007 to 2014 of 26 Asian countries was collected for analysis. Static linear panel models which comprised of pooled ordinary least squares, fixed-effect model and random-effect model were utilised to analyse the panel data.

The findings show that corruption significantly affects LPI and each of the six dimensions in LPI. The results also show that governance or GE has a moderating effect on the relationship between corruption and LPI.

This study benefits Asian governments to gain a better understanding on influences of corruption on trade facilitation and triggering suggestions of a government role in the relationship. Practically, the results could be used as a guideline in improving national LPI. Besides, the findings could be used to support policy decision to modify corruption regulations at the national and regional levels.

This study reveals that the optimistic view of sands in the wheel overcomes the dark side of the grease in the wheel practices. To be corrupt free or less corrupt is a rare and inimitable resource capability that makes nations logistically competitive.

This study attempts to re‐investigate the electricity consumption function for Malaysia through the cointegration and causality analyses over the period 1970 to 2005.

The study employed the bounds‐testing procedure for cointegration to examine the potential long‐run relationship, while an autoregressive distributed lag model is used to derive the short‐ and long‐run coefficients. The Granger causality test is applied to determine the causality direction between electricity consumption and its determinants.

New evidence is found in this study: first, electricity consumption, income, foreign direct investment, and population in Malaysia are cointegrated. Second, the influx of foreign direct investment and population growth are positively related to electricity consumption in Malaysia and the Granger causality evidence indicates that electricity consumption, income, and foreign direct investment are of bilateral causality.

The estimated multivariate electricity consumption function for Malaysia implies that Malaysia is an energy‐dependent country; thus energy‐saving policies may have an inverse effect on current and also future economic development in Malaysia.

The main purpose of this study is to examine the dynamic relationship between tourist arrivals, inflation, unemployment and crime rates in Malaysia. This study covered the annual data from 1970 to 2008.

The multivariate Johansen‐Juselius cointegration test is employed to examine the potential long‐run equilibrium relationship. While the Granger causality test within the vector error‐correction modelling (VECM) framework is applied to determine the causal relationship between crime rate and its determinants.

The Johansen‐Juselius cointegration test result reveals that the variables are cointegrated and the dynamic ordinary least squares estimator suggest that unemployment, inflation and tourist arrivals are positively related to crime rates in Malaysia. For Granger causality, in the long‐run tourist arrivals, inflation and unemployment rates Granger cause crime rate in Malaysia. However, in the short run we find bilateral causality between unemployment, crime and tourist arrivals. Finally, the variance decompositions and impulse response functions analyses implied that unemployment, inflation and tourist arrivals are important in explaining the variation in crime for Malaysia.

The estimated crime rate function for Malaysia demonstrated that promoting supply‐side economy and also increases the numbers of police and patrolling duties in the potential crime areas will reduce the crime rate in Malaysia and in the same time attract more tourist arrivals to Malaysia.

The aim of this study is to empirically investigate the effect of real wages on labour productivity in Malaysia's manufacturing sector using annual data from 1980 to 2009.

This study uses the Johansen cointegration test to examine the presence of long‐run equilibrium relationship between labour productivity and real wages in Malaysia. In addition, the Granger causality test within the vector error‐correction model (VECM) is used to ascertain the direction of causality between the variables of interest.

The Johansen test suggests that real wages and labour productivity are cointegrated. Moreover, labour productivity and real wages have a quadratic relationship (i.e. inverted U‐shaped curve) instead of linear relationship. Hence, the effect of real wages on labour productivity is non‐monotonic. Furthermore, the Granger causality test indicates that real wages and labour productivity are bilateral causality in nature.

This study is limited to the labour productivity in the manufacturing sector only.

This study demonstrates that the effect of real wages on labour productivity is non‐monotonic; hence increase in real wages alone does not always enhance labour productivity. Thus, other incentives should be offered to stimulate long‐term labour productivity growth in Malaysia.

The purpose of this study is to examine the impact of crime risk on housing prices at a national level in Malaysia during the period from 1988 to 2016.

A hedonic regression approach was used to estimate the Malaysian households’ valuation for crime risk. Specifically, the state-level property index on the state-level reported crime rate was regressed while controlling for state-level socioeconomic variables. The macroeconomic panel nature of the data set provides the merit to use a panel dynamic model instead of the traditional static panel data techniques (fixed effects or first difference).

Panel dynamic estimators consistently show a negative impact of crime risks on housing prices. The estimated elasticity of housing prices with respect to crime risks ranges from −0.141 to −0.166, in line with existing literature using micro level data. In fact, householders in crime hotspot states are willing to pay more for crime reduction compared to householders in non-hotspot states. The willingness to pay has also increased since the implementation of nationwide crime reduction plans in 2010.

This is the first study that has examined the Malaysian people’s willingness to pay to reduce crime. This information is important in determining the optimal level of government expenditures for public safety.

This is the first study to examine the relationship between crime rates and housing prices in Malaysia. This study contributes to the literature by examining the impact of crime rates on housing prices at a national level by using panel dynamic models. The macro level data results are consistent and complement the existing literature based on micro level data.