Research

Ke-Chyn Ng · Mui-Yin Chin ·International Journal of Economics and Management ·2021 ·JEL: F14, F31

This study examined the impact of exchange rate fluctuations on the level of international trade between Malaysia and China using 45 observations spanning from 2010 quarter 1 to 2021 quarter 1. The Generalized Autoregressive Conditional Heteroscedasticity (GARCH) model was adopted to compute the exchange rate fluctuations. International trade between Malaysia and China was selected in this study as, since 2009, China has consistently been Malaysia's top trading partner. Besides, to produce precise output, this study employed two models: the export and import models. The empirical results, derived from Autoregressive Distributed Lag (ARDL) modelling, suggested that exchange rate fluctuations had a negative but statistically insignificant impact on exports. In contrast, exchange rate fluctuations had a positive and statistically significant impact on imports. This result implied that importers from Malaysia were generally risk-takers, as they tended to trade significantly during periods of high exchange rate fluctuation. However, to avoid losses for both exporters and importers due to exchange rate fluctuations, policymakers from both countries should ensure that facilities for exchange rate hedging become more convenient and straightforward for traders so that international trade continues to bloom for both countries.

Nur Farah Zafirah Zulkiflee · Nurbaizura Borhan · Mohd Fikri Hadrawi ·Pertanika Journal of Social Science and Humanities ·2022

An increase in the crime rate may jeopardize a country’s development and economic growth. Thus, understanding the relationship between crime and a few determinants is crucial in sustaining the economic growth in Malaysia. The four determinants used in this research are economic growth, population, education level, and inflation rate. The data covers the period from 1984 to 2019, and Autoregressive Distributed Lag (ARDL) modeling approaches were used in this research. The findings showed that only the population has a significant positive impact on crime rates for long-term and short-term relationships. Meanwhile, economic growth and education level have a significant long-term positive effect on the crime rate. On the other hand, the inflation rate did not significantly impact the crime rate in long-term and short-term relationships. Interestingly, it was found in the findings that the crime rate and population showed a bidirectional causal relationship indicating that the past population values are useful for a better prediction of the current crime rate and vice versa. Thus, the Malaysian government should encourage people to cooperate with the enforcement authorities to deter crime for future environmental safety effectively.