scholarly journals Oil Price Hike, Debt Burden and Poverty in Pakistan

2021 ◽  
Vol 2 (1) ◽  
pp. 89-99
Author(s):  
Muhammad Zahir Faridi ◽  
Khawaja Asif Mehmood ◽  
Ramsha Anwer
Keyword(s):  
Oil Prices ◽  
Positive Association ◽  
Infant Mortality Rate ◽  
Debt Burden ◽  
Long Run ◽  
Short Run ◽  
Lag Model ◽  
Auto Regressive ◽  
Price Hike ◽  
Head Count

Hiked oil prices have always heightened debt burden of an economy and poverty too. Pakistan as a developing country has also been facing this crisis since its inception. Therefore, in this study the data of the probed variables has been collected from the period ranging 1972-2019. Auto-regressive Distributive Lag Model has been employed as a methodology, for throwing light on the results of the short run along with the long run. For inspecting the research, head count ratio is used as the dependent variable. Whereas, factors such as gross domestic product, foreign direct investment, infant mortality rate, literacy rate, unemployment rate, external debt, oil prices and investment are used as the independent ones. The results of the study disclose that the coefficient of all independent variables have a positive association with poverty in both the long and short run except GDP and investment. However, the GDP and investment coefficients are found to be significant in short run and insignificant in the results of long run. The study depicted several trends with the passing years and suggested some policy measures which, if adopted, might lead to clear the bleak picture of economy.

Loss of Employment, Lockdown Measures and Government Responses in Malaysia during the Covid-19 Pandemic: A Note

2021 ◽  
Vol 22 (3) ◽  
pp. 1525-1549
Author(s):  
Muzafar Shah Habibullah ◽  
Mohd Yusof Saari ◽  
Sugiharso Safuan ◽  
Badariah Haji Din ◽  
Anuar Shah Bali Mahomed
Keyword(s):  
Job Loss ◽  
Positive Association ◽  
Distributed Lag ◽  
Long Run ◽  
Ardl Approach ◽  
Short Run ◽  
Auto Regressive ◽  
The Government ◽  
The Relationship ◽  
Stimulus Package

In this paper, we use daily administrative data from January 25, 2020 to December 31, 2020 to examine the relationship between job losses and the Malaysian lockdown measures. The Auto Regressive Distributed Lag (ARDL) approach is used to estimate both the long-run and short-run models. The results of the Bounds F-test for cointegration reveal that there is a long-run link between job losses and the Malaysian government lockdown measures (both linear and non-linear). The positive association between job loss and lockdown measures shows that as the lockdown gets tighter, more people will lose their jobs. However, as time passes, especially in conjunction with the government stimulus package programmes, job losses decrease.

scholarly journals Climate Change Impact on Wheat Yield in Pakistan (An Application of ARDL Approach)

2021 ◽  
Vol 4 (2) ◽  
pp. 240-262
Author(s):  
Adiqa Kiani ◽  
Tehmeena Iqbal
Keyword(s):  
Wheat Yield ◽  
Vital Role ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Long Run ◽  
Time Period ◽  
Negative Effect ◽  
Short Run ◽  
Lag Model ◽  
Auto Regressive

Wheat is an important food crop of Pakistan and used in variety of ways to produce other by-products. Pakistan falls under top ten major countries of the world producing wheat. The objectives of the study are to investigate whether hasty changes in climate exerting impacts on wheat yield in Pakistan or not. The data spanning over a time period of 1991 to 2015 were used. The variables namely area under cultivation of wheat, water availability, amount of precipitation, mean temperature, and mean relative humidity are used for the purpose of estimation. The Auto Regressive Distributed Lag Model is applied for inference of results. The results of the study indicate that both in short and long run humidity rate, water usages, and area play a significant role in increasing the wheat yield whereas, precipitation shows the negative effect on wheat yield. Also, temperature does not show any significant impact in short run, while it plays a vital role in enhancing wheat yield in the long run.

Impact of exchange rate and oil price on the yield of sovereign bond and sukuk: Evidence from Malaysian capital market

2017 ◽  
Vol 5 (4) ◽  
pp. 27
Author(s):  
Huda Arshad ◽  
Ruhaini Muda ◽  
Ismah Osman
Keyword(s):  
Exchange Rate ◽  
Capital Market ◽  
Time Series Data ◽  
Oil Prices ◽  
Oil Price ◽  
Series Data ◽  
Sovereign Bond ◽  
Long Run ◽  
Short Run ◽  
The Impact

This study analyses the impact of exchange rate and oil prices on the yield of sovereign bond and sukuk for Malaysian capital market. This study aims to ascertain the effect of weakening Malaysian Ringgit and declining of crude oil price on the fixed income investors in the emerging capital market. This study utilises daily time series data of Malaysian exchange rate, oil price and the yield of Malaysian sovereign bond and sukuk from year 2006 until 2015. The findings show that the weakening of exchange rate and oil prices contribute different impacts in the short and long run. In the short run, the exchange rate and oil prices does not have a direct relation with the yield of sovereign bond and sukuk. However, in the long run, the result reveals that there is a significant relationship between exchange rate and oil prices on the yield of sovereign bond and sukuk. It is evident that only a unidirectional causality relation is present between exchange rate and oil price towards selected yield of Malaysian sovereign bond and sukuk. This study provides numerical and empirical insights on issues relating to capital market that supports public authorities and private institutions on their decision and policymaking process.

scholarly journals Determinants of Insurance Penetration in West African Countries: A Panel Auto Regressive Distributed Lag Approach

2021 ◽  
Vol 14 (8) ◽  
pp. 350
Author(s):  
Odunayo Olarewaju ◽  
Thabiso Msomi
Keyword(s):  
Banking Sector ◽  
West African ◽  
Education Sector ◽  
African Countries ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Auto Regressive ◽  
Insurance Penetration ◽  
The Government

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.

scholarly journals Cross-Correlations in Meat Prices in Brazil: A Non-Linear Approach Using Different Time Scales

Economies ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 133
Author(s):  
Derick Quintino ◽  
José Telo da Gama ◽  
Paulo Ferreira
Keyword(s):  
Time Scales ◽  
Cross Correlation ◽  
Positive Association ◽  
Recent Period ◽  
Linear Approach ◽  
Long Run ◽  
Short Run ◽  
Cross Correlations ◽  
Over Time ◽  
Different Time Scales

Brazil is one of the world’s largest producers and exporters of cattle, chicken and swine. Therefore, co-movements of Brazilian meat prices are important for both domestic and foreign stakeholders. We propose to analyse the cross-correlation between meat prices in Brazil, namely, cattle, swine and chicken, including also in the analysis information from some commodities, namely maize, soya beans, oil, and the Brazilian exchange rate. Our sample covers the recent period which coincided with extensive macroeconomic and institutional changes in Brazil, from 2011 to 2020, and is divided in two periods: (i) presidential pre-impeachment (P1), occurring in August 2016, and; (ii) post-impeachment (P2). Our results indicate that in P1, only the prices of swine and chicken showed a positive and strong correlation over time, and that cattle showed some positive correlation with chicken only in the short run. In P2, there was also a positive and consistent correlation between swine and chicken, and only a positive association with swine and cattle in the long run. For more spaced time scales (days), the changes in the degree of correlation were significant only in the long run for swine and cattle.

scholarly journals The Determinants of Food Prices in Pakistan

2012 ◽  
Vol 17 (1) ◽  
pp. 101-128 ◽  
Author(s):  
Henna Ahsan ◽  
Zainab Iftikhar ◽  
M. Ali Kemal
Keyword(s):  
Active Role ◽  
Food Prices ◽  
Significant Variable ◽  
Demand And Supply ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Lag Model

Controlling prices is one of the biggest tasks that macroeconomic policymakers face. The objective of this study is to analyze the demand- and supply-side factors that affect food prices in Pakistan. We analyze their long-run relationship using an autoregressive distributed lag model for the period 1970–2010. Our results indicate that that the most significant variable affecting food prices in both the long and short run is money supply. We also find that subsidies can help reduce food prices in the long run but that their impact is very small. Increases in world food prices pressurize the domestic market in the absence of imports, which cause domestic food prices to rise. If, however, we import food crops at higher international prices, this can generate imported inflation. The error correction is statistically significant and shows that market forces play an active role in restoring the long-run equilibrium.

scholarly journals Bounds Testing Approach to Cointegration: A Re-examination of FDI and Growth in Vietnam

2013 ◽  
Vol 218 ◽  
pp. 94-113
Author(s):  
ANH PHẠM THẾ ◽  
ĐÀO NGUYỄN THỊ HỒNG
Keyword(s):  
Economic Growth ◽  
Small Sample Size ◽  
Small Sample ◽  
Adjustment Process ◽  
Bounds Testing ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Long Run ◽  
Short Run ◽  
Lag Model

This study examines the econometric and empirical evidence of both causal and long-run relationship between foreign direct investment (FDI) and economic growth in Vietnam, covering a time span of 21 years from 1991 to 2012. The recent and robust methodology of bounds testing or autoregressive distributed lag model (ARDL) approach to Cointegration is employed for the empirical analysis. This technique can capture both short-run and long-run dynamics of variables, particularly in small sample size cases. The findings indicate the existence of a Cointegration relationship between the two time series and a modest adjustment process from short-run to long-run equilibrium. Further results from Granger causality tests conducted within the error correction model confirm a bi-directional causality between economic growth and FDI over the study period.

Dynamic linkages between Non-renewable energy, Renewable energy and Economic growth through nonlinear ARDL approach: Evidence from Malaysia

2021 ◽  
Author(s):  
Rafia Afroz ◽  
Md Muhibbullah
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Asymmetric Effect ◽  
Nonlinear Ardl ◽  
Long Run ◽  
Ardl Approach ◽  
Consumption Reduction ◽  
Short Run ◽  
Auto Regressive ◽  
Nardl Model

Abstract The purpose of this paper is to investigate the links between renewable energy (RE), non-renewable energy (NRE), capital, labour and economic growth, using the Non-linear Auto Regressive Distributive Lag (NARDL) model in Malaysia for the period of 1980–2018. The results of NARDL confirm the asymmetric effect of RE and NRE consumption on the economic growth in the long run as well as short run in Malaysia. The findings also show that in the long and short-run, positive shocks of NRE are greater than the positive shocks of RE. It indicates that Malaysia's economic growth is highly dependent on NRE which is not a good indication as NRE consumption increases carbon dioxide (CO2) emission in the country. Moreover, the empirical results of this study demonstrated that RE consumption reduction accelerates economic growth whereas NRE consumption reduction decreases economic growth. It can have claimed that in Malaysia RE is still more expensive than NRE. In conclusion, this study offered a variety of measures to develop RE to reduce the dependency on NRE consumption.

AN ANALYSIS OF THE MANAGEMENT OF FISCAL DEFICIT OF PAKISTAN: AN ECONOMETRIC STUDY OF AUTO-REGRESSIVE DISTRIBUTIVE LAGS (ARDL) APPROACH

2018 ◽  
pp. 1-30 ◽  
Author(s):  
KHURRAM EJAZ CHANDIA ◽  
MUHAMMAD BADAR IQBAL ◽  
SAIRA AZIZ ◽  
IFRA GUL ◽  
BINESH SARWAR
Keyword(s):  
Fiscal Policy ◽  
Federal Government ◽  
Government Expenditures ◽  
Fiscal Deficit ◽  
Policy Reforms ◽  
Causality Test ◽  
Long Run ◽  
Ardl Approach ◽  
Short Run ◽  
Auto Regressive

Fiscal policy is an essential ingredient of economic performance. The fiscal policy is considered as a short-run measure; however, this has long-lasting outcomes for any economy. The current study has examined the connection among different constituents of fiscal policy, i.e., federal government revenues and federal government expenditures; federal government revenues and different components of federal government expenditures; federal government expenditures and different components of federal government revenues and fiscal deficit and influential budgetary variables in the context of the economy of Pakistan. The study has empirically investigated the relationship among the budgetary variables for Pakistan from 1979 to 2017. For data analysis, time-series econometric techniques such as auto-regressive distributive lag (ARDL) approach and Granger causality test have been employed. The results of ARDL bounds test approach suggest the existence of long-run equilibrium relationship among the variables. The result of CUSUM and CUSUMSQ shows the stability of functional relationship tested in this study, which means that model is a useful instrument for policymaking. So, a rise or fall in budgetary variables causes changes in fiscal deficit in long run. The results of study endorse the proof of spent-and-tax hypothesis in the economy of Pakistan. The study suggests the need for extensive fiscal policy reforms in Pakistan.

scholarly journals The Asymmetric Influence of Financial Development on Economic Growth in Kenya: Evidence From NARDL

SAGE Open ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 215824401989407 ◽  
Author(s):  
Hao Chen ◽  
Duncan O. Hongo ◽  
Max William Ssali ◽  
Maurice Simiyu Nyaranga ◽  
Consolata Wairimu Nderitu
Keyword(s):  
Economic Growth ◽  
Financial Development ◽  
Government Spending ◽  
Capital Accumulation ◽  
Research Question ◽  
Government Expenditure ◽  
Model Specification ◽  
Long Run ◽  
Short Run ◽  
Auto Regressive

This study analyzed the asymmetric effects of financial development on economic growth using a model augmented with inflation and government expenditure asymmetries to inform model specification. The research question used entails, Do their asymmetry changes significantly influence growth? Using the nonlinear auto-regressive distributive lag (NARDL), the most significant results posit that positive shocks in financial development in the short run and its negative shocks in the long run increase and decrease economic growth, respectively. Regarding inflation, its positive (negative) shocks in both runs, respectively, reduce (increase) economic growth. In comparison, positive shocks in financial development that spur growth in the short run and negative shocks in financial development (government expenditure) that increase (reduce) growth are the most domineering effects as the rest of the shocks insignificantly affect growth. Results clearly demonstrate to an environment steered by stable and sustainable inflation that regulated government expenditure and comprehensive financial system deepening would positively cause economic growth. Therefore, appropriate policies that favor low inflation and reduced government spending, expansion of feasibly reformed financial institutions, capital accumulation, and increased resource mobilization should be instituted if real growth is to positively happen.

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