scholarly journals DETERMINANTS OF PERSONAL BANKRUPTCY DISCHARGE IN MALAYSIA: A SOCIAL CAPITAL APPROACH OF AL-NAHD AND TA’AWUN

2021 ◽  
Vol 6 (No.2) ◽  
pp. 25-36
Author(s):  
Ahmad Mahir Isa ◽  
Nor Hayati Ahmad ◽  
Zairy Zainol

This study investigates the relationship between Gross Domestic Product (GDP), Consumer Price Index (CPI), Unemployment Rate (UE), Interest rate (IR), Household Debt (HD) on bankruptcy discharge and test the application of an Islamic concept of mutual cooperation, Social Relief Fund (SRF) to enhance the bankruptcy discharge. The study period is from 2000 to 2019. The autoregressive distributed lag (ARDL) was used in the study. Two models were tested; Model 1 consists of the macroeconomic variables without SRF and Model 2, with SRF. Model 1 shows none of the variables has significant effect on bankruptcy discharge for long run relationship. However, Model 2 shows GDP, CPI and SRF have significant positive long run relationship with bankruptcy discharge. This provides statistical evidence that SRF has a beneficial long-run relationship to enhance bankruptcy discharge in Malaysia. For short run relationship, Model 1 reveals GDP, CPI, and UE as significant variables to discharge. Model 2 shows stronger short run relationships in which GDP, IR, HD, SRF are positive and CPI is negative to bankruptcy discharge. These variables are significant at 1 percent level. The findings contribute new knowledge on determinants of bankruptcy discharge in Malaysia. The study provides empirical evidence that SRF is a potential component as a social safety net in providing financial assistance among distressed debtors from bankruptcy. We recommend the use of SRF as the current bankruptcy reform is being viewed from the legislative lens and lacks the social capital component to assist debtors achieve financial restitution.

Author(s):  
Muhamad Lokman Hakimi Suid

This study examined how economic activities affect the direction of money supply in Malaysia. The overnight policy rate is the interest rate set by Bank Negara Malaysia (BNM) as its monetary policy tool. Based on the Keynesian Economic Theory, the autoregressive distributed lag (ARDL) model was applied to analyse how the industrial production index, interest rate and consumer price index influenced money supply. The findings of this study supported the notion that economic growth significantly affected the money supply in the short run. There was no evidence of such a relationship in the long run. Maintaining a stable money supply is vital to limit adverse variations in economic activity. A stable money supply allows Malaysia to respond effectively during difficult times, especially the current covid19 pandemic.


2018 ◽  
Vol 25 (2) ◽  
pp. 21-32
Author(s):  
Nika Pranata ◽  
Nurzanah Nurzanah

The paper investigates determinants of Indonesia’s microfinance credit disbursement, case taken from Indonesia’s rural banks (BPRs) which primarily focus on providing funding to the Micro and Small Enterprises (MSEs). The study applies Autoregressive Distributed Lag (ARDL) model by using monthly data over the period of January 2009 to January 2016. Result indicates that rural banks credit disbursement is more determined by demand side rather than supply side as variable representing demand side (production index) has significant effect to credit disbursement both long run and short run. In terms of supply side, the amount of credit disbursement is affected by interbank fund in the long run, whereas in the short run the significant variables are customer fund and internal fund. In addition, Consumer Price Index (CPI) and Non-Performing Loan (NPL) impose significant effect to the microfinance credit disbursement; yet, interestingly, interest rate is not a significant factor in microfinance’s case. 


Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3165
Author(s):  
Eva Litavcová ◽  
Jana Chovancová

The aim of this study is to examine the empirical cointegration, long-run and short-run dynamics and causal relationships between carbon emissions, energy consumption and economic growth in 14 Danube region countries over the period of 1990–2019. The autoregressive distributed lag (ARDL) bounds testing methodology was applied for each of the examined variables as a dependent variable. Limited by the length of the time series, we excluded two countries from the analysis and obtained valid results for the others for 26 of 36 ARDL models. The ARDL bounds reliably confirmed long-run cointegration between carbon emissions, energy consumption and economic growth in Austria, Czechia, Slovakia, and Slovenia. Economic growth and energy consumption have a significant impact on carbon emissions in the long-run in all of these four countries; in the short-run, the impact of economic growth is significant in Austria. Likewise, when examining cointegration between energy consumption, carbon emissions, and economic growth in the short-run, a significant contribution of CO2 emissions on energy consumptions for seven countries was found as a result of nine valid models. The results contribute to the information base essential for making responsible and informed decisions by policymakers and other stakeholders in individual countries. Moreover, they can serve as a platform for mutual cooperation and cohesion among countries in this region.


Economies ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 51
Author(s):  
Lorna Katusiime

This paper examines the effects of macroeconomic policy and regulatory environment on mobile money usage. Specifically, we develop an autoregressive distributed lag model to investigate the effect of key macroeconomic variables and mobile money tax on mobile money usage in Uganda. Using monthly data spanning the period March 2009 to September 2020, we find that in the short run, mobile money usage is positively affected by inflation while financial innovation, exchange rate, interest rates and mobile money tax negatively affect mobile money usage in Uganda. In the long run, mobile money usage is positively affected by economic activity, inflation and the COVID-19 pandemic crisis while mobile money customer balances, interest rate, exchange rate, financial innovation and mobile money tax negatively affect mobile money usage.


2019 ◽  
Vol 20 (2) ◽  
pp. 279-296 ◽  
Author(s):  
Syed Tehseen Jawaid ◽  
Mohammad Haris Siddiqui ◽  
Zeeshan Atiq ◽  
Usman Azhar

This study attempts to explore first time ever the relationship between fish exports and economic growth of Pakistan by employing annual time series data for the period 1974–2013. Autoregressive distributed lag and Johansen and Juselius cointegration results confirm the existence of a positive long-run relationship among the variables. Further, the error correction model reveals that no immediate or short-run relationship exists between fish exports and economic growth. Different sensitivity analyses indicate that initial results are robust. Rolling window analysis has been applied to identify the yearly behaviour of fish exports, and it remains negative from 1979 to 1982, 1984 to 1988, 1993 to 1999, 2004 and from 2010 to 2013, and it shows positive impact from 1989 to 1992, 2000 to 2003 and from 2005 to 2009. Furthermore, the variance decomposition method and impulse response function suggest the bidirectional causal relationship between fish exports and economic growth. The findings are beneficial for policymakers in the area of export planning. This study also provides some policy implications in the final section.


2021 ◽  
Vol 14 (8) ◽  
pp. 350
Author(s):  
Odunayo Olarewaju ◽  
Thabiso Msomi

This study analyses the long- and short-term dynamics of the determinants of insurance penetration for the period 1999Q1 to 2019Q4 in 15 West African countries. The panel auto regressive distributed lag model was used on the quarterly data gathered. A cointegrating and short-run momentous connection was discovered between insurance penetration along with the independent variables, which were education, productivity, dependency, inflation and income. The error correction term’s significance and negative sign demonstrate that all variables are heading towards long-run equilibrium at a moderate speed of 56.4%. This further affirms that education, productivity, dependency, inflation and income determine insurance penetration in West Africa in the long run. In addition, the short-run causality revealed that all the pairs of regressors could jointly cause insurance penetration. The findings of this study recommend that the economy-wide policies by the government and the regulators of insurance markets in these economies should be informed by these significant factors. The restructuring of the education sector to ensure finance-related modules cut across every faculty in the higher education sector is also recommended. Furthermore, Bancassurance is also recommended to boost the easy penetration of the insurance sector using the relationship with the banking sector as a pathway.


2012 ◽  
Vol 01 (07) ◽  
pp. 17-29
Author(s):  
Furrukh Bashir ◽  
Shahbaz Nawaz ◽  
Rahat Ullah ◽  
Muhammad Ramzan Arshad ◽  
Munwar Bagum ◽  
...  

Education is always considered as the major determinant for the development of any economy. Enrollment at various levels also shows that how much education is common within the citizens of the country. Considering the importance of enrollment, the current study examines the influence of some macroeconomic variables on various levels i.e. primary, secondary, higher, college, professional and university enrollment in Pakistan. Time series data has been gathered on consumer price index, government revenue, employed labor force, government expenditure, and health expenditure for the period from 1972 to 2010. For long run estimates, Johansen Co integration test is used and short run estimates are taken through error correction model. The results of the study exhibit positive association of employed labor force, government expenditure and health expenditure with primary, secondary, higher, college, professional and university enrollment in Pakistan. On the other side, consumer price index and government revenue have been found to be inversely influencing enrollment at various levels. Short run results are also much favorable for the economy and reveals convergence towards long run equilibrium due to any disturbances in the short run period. At the end study gives some policy implications that government should decrease consumer price index and tax rate and to increase government expenditure in terms of education and health for higher enrollment rates in Pakistan.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Siphe-okuhle Fakudze ◽  
Asrat Tsegaye ◽  
Kin Sibanda

PurposeThe paper examined the relationship between financial development and economic growth for the period 1996 to 2018 in Eswatini.Design/methodology/approachThe Autoregressive Distributed Lag bounds test (ARDL) was employed to determine the long-run and short-run dynamics of the link between the variables of interest. The Granger causality test was also performed to establish the direction of causality between financial development and economic growth.FindingsThe ARDL results revealed that there is a long-run relationship between financial development and economic growth. The Granger causality test revealed bidirectional causality between money supply and economic growth, and unidirectional causality running from economic growth to financial development. The results highlight that economic growth exerts a positive and significant influence on financial development, validating the demand following hypothesis in Eswatini.Practical implicationsPolicymakers should formulate policies that aims to engineer more economic growth. The policies should strike a balance between deploying funds necessary to stimulate investment and enhancing productivity in order to enliven economic growth in Eswatini.Originality/valueThe study investigates the finance-growth linkage using time series analysis. It determines the long-run and short-run dynamics of this relationship and examines the Granger causality outcomes.


2021 ◽  
pp. 001946622110352
Author(s):  
Alisha Mahajan ◽  
Kakali Majumdar

Many countries are under constant fear that environmental policies might negatively influence the international competitiveness of polluting industries. In this study, we aim to evaluate the relationship and impact of the environmental tax on comparative advantage of trade in food and food products industry, considered to be one of the highly environmentally sensitive industries. This study also investigates, whether this relationship differs among countries covered in G20, with the help of correlation analysis. We select panel autoregressive distributed lag approach for this study as it can analyse long-run as well as short-run association even when the variables are stationary at different orders of integration. Using panel data from G20 countries over the period of 21 years that is from 1994 to 2015, it is concluded that when we allow environmental taxes to interact with the revealed comparative advantage (RCA) of G20 nations, the overall impact of the environmental tax on the RCA is negative in the long period. It is therefore suggested that countries should follow Porter hypothesis to stimulate innovations resulting from strict environmental regulations that affect the environment in least possible manner. JEL Codes: C01, C23, C33, F18, O57, Q5


2018 ◽  
Vol 4 (2) ◽  
pp. 192-217 ◽  
Author(s):  
Phillip Akanni Olomola ◽  
Tolulope Temilola Osinubi

This study analyzed the macroeconomic and institutional determinants of total factor productivity (TFP) in the MINT (Mexico, Indonesia, Nigeria, and Turkey) countries during the period 1980–2014. Annual data covering the period between 1980 and 2014 were used. Data on real gross domestic product (real GDP), labor force, gross fixed capital formation, foreign direct investment (FDI), human capital, and inflation were sourced from the World Development Indicators published by the World Bank. Also, data on corruption, government stability, and law and order were obtained from the database of International Country Risk Guide. Panel autoregressive distributed lag (PARDL) regression technique was used to estimate the model. Results showed that TFP growth rate declined on average by 1.4 per cent and 1.8 per cent in Mexico and Turkey, respectively, while Indonesia and Nigeria did not experience productivity growth on the average. Results also showed that in the long run, human capital and government stability had positive and significant effects on TFP, while FDI and corruption had negative but significant effects on TFP. In the short run, there existed a significant negative relationship between TFP and inflation. However, the effects of human capital and corruption on TFP were positive and significant. The study concluded that human capital and corruption were key drivers of TFP in the MINT countries both in the long run and short run.


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