scholarly journals DELAYED FISCAL ADJUSTMENT AND ECONOMIC GROWTH: EMPIRICAL EVIDENCE USING AUTOREGRESSIVE DISTRIBUTED LAG BOUND TESTING MODEL

2019 ◽  
Vol 9 (4) ◽  
pp. 148-155
Author(s):  
Salem Kanoun
SAGE Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 215824402110271
Author(s):  
Ibrar Hussain ◽  
Jawad Hussain ◽  
Arshad Ali ◽  
Shabir Ahmad

This study claims to be the first in assessing the short-run and long-run impacts of both the size and composition of fiscal adjustment on the growth in Pakistan. Empirical calibration has been made on Mankiw et al.’s model, while the Autoregressive Distributed Lag (ARDL) techniques of Pesaran et al. have been employed to carry out the estimation. To cure the problem of degenerate cases, the ARDL techniques have been augmented with the model of Sam et al. The analysis supports the hypothesis of “expansionary fiscal contraction” in the long run. The analysis reveals that the spending-based adjustment enhances the economic growth, whereas the tax-based adjustment would reduce the growth in the long run in the case of Pakistan. The Granger causality test indicates that the fiscal adjustments have been weakly exogenous, thereby allowing feedback effect from the economic growth toward the fiscal adjustment. Thus, the objective of sustained economic growth can be achieved through the spending-based consolidation measures.


2021 ◽  
Vol 14 (27) ◽  
pp. 63-75
Author(s):  
Okpeku Lilian ONOSE ◽  
◽  
Osman Nuri ARAS ◽  

The export-led growth hypothesis states a positive relationship between the growth of exports and long-run economic growth. This study examines the validity of the export-led growth hypothesis of services exports in 5 emerging economies, including Brazil, India, Nigeria, China, and South Africa (BINCS), for the period of 1980-2019. The study employs the panel mean group autoregressive distributed lag (ARDL) procedure to identify a causal relationship between services exports and gross domestic product (GDP) per capita. The findings show that the export-led growth hypothesis in services only has a positive effect on economic growth in the short run while other variables, including foreign direct investment (FDI), gross capital formation, and labour, increase economic growth in the long run. Hence, the emerging countries should focus more on internal investment to boost growth in the long and short run.


2021 ◽  
Vol 16 (3) ◽  
pp. 204-219
Author(s):  
ZULKEFLY ABDUL KARIM ◽  
◽  
MOHAMMAD QASIM ALABED QUSAI ◽  
FATHIN FAIZAH SAID ◽  
MOHD AZLAN SHAH ZAIDI

2020 ◽  
Vol 12 (2) ◽  
pp. 154-175
Author(s):  
Faroque Ahmed ◽  
Md. Jamal Hossain ◽  
Mohammad Tareque

This article investigates the dynamic relationship among physical infrastructure, financial development, human capital and economic growth in Bangladesh, employing Autoregressive Distributed Lag (ARDL) bound co-integration and Granger causality test for the period 1985–2019. The study finds a significantly positive long-term impact of physical infrastructure and human capital on economic growth. However, the effect of financial development on growth is found to be negative, and the result suggests that financial development will take place with economic growth. From the policy perspective, this study emphasises increasing investment in physical infrastructure and human capital for Bangladesh to foster long-term economic growth.


2019 ◽  
Vol 2 (1) ◽  
pp. 15
Author(s):  
Ahmadi Murjani

 Poverty alleviation has become a vigorous program in the world in recent decades. In line with the efforts applied by the government in various countries to reduce poverty, some evaluations have been practised. The impacts of macroeconomic variables such as inflation, unemployment, and economic growth have been commonly employed to be assessed for their impact on the poverty. Previous studies in Indonesia yielded mix results regarding the impact of such macroeconomic variables on the poverty. Different methods and time reference issue were the suspected causes. This paper aims to overcome such problem by utilising the Autoregressive Distributed Lag (ARDL) equipped with the latest time of observations. This paper finds in the long-run, inflation, unemployment, and economic growth significantly influence the poverty. In the short-run, only inflation and economic growth are noted affecting poverty significantly. 


Author(s):  
Adenuga Fabian Adekoya ◽  
Nor Azam Abdul Razak

Abstract The level of crime in Nigeria has become devastating and in order to put more sanity into the economy and the country at large, the Government has embarked on different deterrence measures in curbing crime. Thus, this study examined the interaction of deterrence measures with crime in order to see how economic growth was affected when they were used in curbing crime at different instances. That is, the interaction of deterrence measures with crime informed us how they have helped in lowering crime in Nigeria for a better economic growth to subsist. The deterrence measures considered in this work are in line with the rational choice theory being the cost of crime imposed on the society. Furthermore, this study considered data from 1975 to 2013 with the use of autoregressive distributed lag model. Moreover, the results showed that crime dependency on deterrence measures asymmetrically constituted means of lowering economic growth in the country. Hence, this study suggested that prosecution should be well funded and in order to curb crime and improve economic growth in Nigeria. That is, this would afford the country to reduce the congestion of prison inmates and thus, it would discourage long waiting trials.


Sign in / Sign up

Export Citation Format

Share Document