scholarly journals Makro Ekonomi dan Pengentasan Kemiskinan di Indonesia

2021 ◽  
Vol 1 (2) ◽  
pp. 186-203
Author(s):  
Abi Fadillah

Poverty is still a problem in Indonesia's economy. From the colonial period to 75 years of independence, around 27.55 million people still live below the poverty line. This paper tries to examine the impact of Indonesia's macroeconomic variables as proxied by Economic Growth (GDPG), Inward FDI (FDI), Unemployment (UNM), Inflation (IN), Exports (EXP), Imports (IMP) on Indonesia's absolute poverty (POVY) with using annual data from 1979-2020. This study emphasizes economic growth as the primary variable. At the same time, other independent variables are used as control variables. The method in this study uses Autoregressive Distributed Lag (ARDL) and applies bounds testing approach to measuring the long-term relationship between the independent and dependent variables. The cointegration limit test shows that there is long-term cointegration between macroeconomic impacts on poverty in Indonesia. The short-term and long-term ARDL models show that all independent variables have a significant relationship with poverty in Indonesia.

2020 ◽  
Vol 1 (1) ◽  
pp. 41-52
Author(s):  
Raima Nazar ◽  
Aisha Ambreen ◽  
Sumbal Sabtain

Pakistan is one of the developing countries instead of possessing large amount of natural resources like mines, reserves of coal, adequate amount of minerals and oil, But, Pakistan is still deprived of basic necessities of life and suffering from extreme inflation in the country. Therefore, this study is an attempt to synopsis the impact of inflation on GDP of Pakistan. This study mainly focus on the inflation rate from the period 1980 to 2016, time series annual data has been employed in the study. The Auto Regressive Distributed Lag Model technique is applied in the study in order to estimate and analyze the data. The study concludes that inflation indicates negative impact on the GDP of Pakistan and it can only be minimized if all resources of the country are properly allocated and fully utilized.


2017 ◽  
Vol 9 (2) ◽  
pp. 98-112
Author(s):  
Radhia Amairia ◽  
Bouzid Amaira

The achievement of an effective infrastructure, reliable and fair, is essential for economic growth. Indeed, the transport infrastructure is essential to the prosperity of regions. To investigate the relationship between transport infrastructure and economic growth, we use the autoregressive distributed lag model (ARDL), we find that transport infrastructure is cointegrated with economic performance, indicating the affirmed presence of long-run equilibrium relationships among them. We use annual data for the period from 1980 to 2013. The study found that the transport infrastructure and investment in transport infrastructure in Tunisia have a significant positive contribution to growth, which shows that each impact is strong and statistically significant. The Tunisian experience suggests that it is necessary to design an economic policy that will improve the transport infrastructure and to increase investment made to the sector for sustainable economic growth in Tunisia. It is necessary to improve the existing road and rail networks. JEL Classification: F63, L91, R41


Author(s):  
NDIAYE SOULEYMANE

The purpose of this article is to analyze the sustainability of the Senegalese economy towards a digital transition. To do this, this work focused on modeling the relationship between digital technologies and economic growth. We applied the ARDL (Auto-Regressive Distributed Lag) estimation method to model the long-term and short-term dynamics of the impact of the digital economy on economic growth in Senegal. The results of the estimates, as part of the specification used, lead to the conclusion that there is a positive impact of information and communication technologies (ICT) on economic growth. These results are mainly due to the productive nature of investment and factor productivity.


2018 ◽  
Vol 11 (11) ◽  
pp. 46
Author(s):  
Jerome Kueh ◽  
Yong Sze Wei

This study intends to investigate the validity of the foreign direct investment, FDI-led-growth hypothesis in Malaysia in this era. Autoregressive Distributed Lag (ARDL) bounds test approach is adopted to examine the impact of FDI inflow towards growth of Malaysia based on annually data from 1980 to 2016. Empirical results indicate that FDI inflow has significant positive impact on economic growth. This implies that FDI inflow remain important tool for stimulating economic growth of Malaysia. In addition, there is a negative impact of FDI inflow on economic growth during the 1997 Asian Financial crisis and positive impact during the 2008 Global Financial crisis. In terms of policy recommendation, the policy makers should continue to develop strategies to further attract FDI that will contribute to increasing the productivity in the country.


2016 ◽  
Vol 16 (2) ◽  
pp. 389-410
Author(s):  
S. Nyasha ◽  
N. M. Odhiambo

This paper examines the dynamic impact of both bank-based and market-based financial development on economic growth in the United Kingdom (UK) during the period 1980–2012, using the autoregressive distributed lag bounds testing approach. Given the complexity of the financial structure in the United Kingdom, various financial development indicators have been used to construct bank-based and market-based financial development indices. The empirical results of this study show that while market-based financial development has a positive impact on economic growth in the United Kingdom, bank-based financial development has a distinct negative impact. These results apply irrespective of whether the regression analysis is conducted in the long run or in the short run.


2019 ◽  
Vol 66 (1) ◽  
pp. 34-40 ◽  
Author(s):  
Şenol Demirci ◽  
Murat Konca ◽  
Birol Yetim ◽  
Gülnur İlgün

Background: Suicide events observed in various groups, community or countries, especially in the periods of economic recession. It is thought that suicide cases increase when people’s income decreases dramatically and they lose their jobs. Aim/Objective: In this study, it was aimed to investigate whether the 2008 economic crisis had any effect on suicides in the United States. Methods: Autoregressive distributed lag method was used. For the purpose of the study, the number of suicide-related deaths was taken as the dependent variable, while unemployment rates and 2008 economic crisis were taken as independent variables. Findings: The short-term and long-term relationships obtained within the scope of the study indicated that the 2008 economic crisis had a statistically significant effect on suicide cases in the United States. Results and Conclusion: It can be said that the results of this study are consistent with the information which emphasizes that economic crises increase suicide cases in the literature.


2020 ◽  
Vol 23 (3) ◽  
pp. 365-388
Author(s):  
Keshmeer Kanewar Makun ◽  
T.K. Jayaraman

This study examines the role of ICT as a factor in Indonesia’s financial sector development, remittances, and economic growth nexus using annual data from 1984-2017. We use the bounds testing procedure based on the Autoregressive Distributed Lag framework and the neoclassical growth model. The findings of the study reveal that ICT has indeed emerged as a significant factor in the remittance-growth nexus by playing a complementary role in financial sector development. The policy implication is that ICT needs to be supported at all levels and the financial inclusion process should be carried forward as it has all the potential to speed up economic growth and development.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ibrahim Nandom Yakubu ◽  
Aziza Hashi Abokor ◽  
Iklim Gedik Balay

PurposeThis study seeks to investigate the impact of financial intermediation on economic growth in Turkey using annual data spanning 1970–2017.Design/methodology/approachBased on the results of the augmented Dickey–Fuller and Phillips–Perron unit root tests for stationarity, the authors employ the Autoregressive Distributed Lag (ARDL) bounds testing to cointegration to establish the long-run impact of financial intermediation alongside other control factors on economic growth. The study also examines the short-run relationship between financial intermediation and economic growth by estimating the Error Correction Model (ECM).FindingsThe authors’ findings indicate that financial intermediation significantly influences economic growth in both short and long run. However, the effect is positive only in the short run, lending support to the supply-leading hypothesis. Regarding the control variables, the authors observe that while financial openness shows a positive significant impact on economic growth in the long run, gross fixed capital formation matters only in the short run. The results further infer that regardless of the time period, inflation impedes economic growth.Originality/valueIn the empirical analysis of the relationship between financial intermediation and economic growth, financial intermediation is always measured using a single variable. The authors argue that such studies could produce bias and misleading results given that a single proxy does not adequately reflect financial intermediation activities. Likewise, such findings may delude policy implementation. To provide a more vivid and robust analysis, the authors employ the Principal Component Analysis (PCA) to construct a composite index for financial intermediation based on three broad measures. The researchers’ are unaware of any study on the financial intermediation–economic growth nexus using a composite index of financial intermediation. Thus, this paper fills this lacuna in the literature.


2021 ◽  
Vol 2021 (1) ◽  
pp. 21-30
Author(s):  
Olawunmi Omitogun ◽  
Adedayo Emmanuel Longe ◽  
Shehu Muhammad ◽  
Idowu Jacob Adekomi

The study investigates the impact of economic growth and fuel subsidy on the environment of Nigeria from the year 1985-2018. We used Auto-regressive Distributed Lag (ARDL) to analyse the data employed in this study. From our findings, it was revealed that output per head had a positive and significant impact on carbon emission both in the long-run and short-run, while subsidy which explains government policy also had a negative and significant impact on carbon emission both in the short-run and long-run. The Error Correction Model (ECM) showed that 96% of shocks in the response variable are corrected in the long-run by the independent variables. It was concluded that increasing output in the economy increases the amount of carbon emission in the economy while removal of fuel subsidy reduces the amount of carbon emission in the economy. Therefore, effective policies should be implemented towards reducing carbon emission without hampering the growth of the economy.


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