scholarly journals Effect of Public Investment on Private Investment: Evidence from Ethiopia

Author(s):  
Temesgen Merga

This study examined the effect of public investment on private investment and their relative effects on Ethiopia economic growth. The study employed the ARDL bounds testing approach. The empirical results revealed that public investment has a crowding-in effect on private investment in the long run which means, public investment stimulates private investment in the long run. However, the study revealed that public investment has a crowding out effect on private investment. In the other word, public investment has no direct impact on economic growth in the long run. However, private investment has a significant positive impact on economic growth in the long run while it is negatively related to economic growth in the short run. This suggests that private investment positively contributes to economic growth more than public investment. In addition, economic growth is positively associated with private investment although it is statistically insignificant in the long run. This implies that it is prudent for policy makers not to cut back on the efficient component of public investment and increase infrastructural public investment to a level that promotes private investment in the long run thereby indirectly fostering economic growth.

2018 ◽  
Vol 63 (2) ◽  
pp. 87-106 ◽  
Author(s):  
Garikai Makuyana ◽  
Nicholas M. Odhiambo

Abstract This paper provides new evidence to contribute to the current debate on the relative impact of public and private investment on economic growth and the crowding effect between the two components of investment in South Africa. Using annual data from 1970 to 2017, the study applies the recently developed Autoregressive Distributed Lag (ARDL)-bounds testing approach to cointegration. The study finds that private investment has a positive impact on economic growth both in the long run and short run, while public investment has a negative effect on economic growth in the long run. Further, in the long run, gross public investment is found to crowd out private investment, while its infrastructural component is found to crowd in private investment. The results of the study also reveal that both gross public investment and non-infrastructural public investment crowd out private investment in the short run. Overall, the study finds private investment to be more important than public investment in the South African economic growth process and that the importance of infrastructural public investment in stimulating private investment in the long run cannot be over-emphasized.


2021 ◽  
Author(s):  
Mohammad Abul Kashem ◽  
Mohammad Mafizur Rahman

Abstract This study investigates the cointegration, short and long run dynamics and causal links between financial development and economic growth in Bangladesh for the period 1973 to 2015. We applied the Autoregressive Distributed Lag (ARDL) Bounds Testing approach and the Granger causality test. The ARDL bounds tests and other cross-checking test confirmed the long run cointegration between economic growth and financial development indicators in Bangladesh. The two financial development indicators, growth in broad money to gross domestic product (GDP) ratio and growth in total deposit liabilities to GDP ratio appeared to have time variant impact on economic growth: the former having significant positive impact in the short- run but negative impact in the long- run, while the latter has significant negative impact in the short- run but positive impact in the long- run. The Granger causality analysis indicated a bidirectional, co-evolutionary process between financial development and economic growth.


SAGE Open ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 215824402093252
Author(s):  
Abdul Rehman ◽  
Hengyun Ma ◽  
Muhammad Irfan ◽  
Munir Ahmad ◽  
Ousmane Traore

Tourism is a key source of income and employment today, and different parts of the world are heavily dependent on it. The main purpose of this article was to demonstrate the consequences of long-run and short-run relationship on international tourism in Pakistan and its impact on economic growth by applying an autoregressive distributed lag (ARDL) bounds testing approach. Augmented Dickey–Fuller unit root test was employed to check the stationarity of the variables, while an ARDL bounds testing approach was used to measure the long-run and short-run dynamics linkage among the study variables. The results show that international tourism and expenditures for passenger transport items have a positive impact on economic growth. Similarly, long-run dynamics also revealed that international tourism expenditures for travel items and international tourism expenditures, international tourism receipts for passenger transport items and international tourism receipts for travel items also had a positive impact on the economic growth. The present analysis of the long-run suggested better policies should be implemented to attract more international tourists to the country.


2018 ◽  
Vol 29 (8) ◽  
pp. 1393-1412 ◽  
Author(s):  
Sheilla Nyasha ◽  
Yvonne Gwenhure ◽  
Nicholas M Odhiambo

In this study, we have explored the causal relationship between energy consumption and economic growth in Ethiopia, during the period from 1971 to 2013. We have employed a multivariate Granger-causality framework that incorporates financial development, investment and trade openness as intermittent variables – in an effort to address the omission-of-variable bias. Based on the newly developed ARDL bounds testing approach to co-integration and the error-correction model-based causality model, our results show that in Ethiopia, there is a distinct unidirectional Granger-causality from economic growth to energy consumption. These results apply, irrespective of whether the estimation is done in the short run or in the long run. We recommend that policy makers in Ethiopia should consider expanding their energy-mix options, in order to cope with the future demand arising from the real sector growth.


2017 ◽  
Vol 1 (1) ◽  
pp. 53-64
Author(s):  
Sajjad ◽  
Tariq ◽  
Muhammad Tariq

A sound national defence is extremely essential for a country’s sovereignty. The geostrategic position of Pakistan and its deterrence policy against neighbouring India have generally been the reasons for stringent military financing. Defence spending affects all sectors of the economy directly or indirectly. This study aims to investigate the influence of government military expenditures on the economic growth of Pakistan over the period 1987-2016. Augmented Dickey-Fuller test has been used for checking the unit root in the data. Autoregressive Distributed Lag (ARDL) bounds testing approach to cointegration has been applied to analyze the relationship between military spending and economic growth. The findings indicate that military expenditure has a positive impact on Pakistan's economic growth in the long-run, however it has negative effect on economic growth in the short-run.


2019 ◽  
Vol 11 (22) ◽  
pp. 6291 ◽  
Author(s):  
Abbas Ali Chandio ◽  
Yuansheng Jiang ◽  
Jam Ghulam Murtaza Sahito ◽  
Fayyaz Ahmad

This study is a maiden empirical attempt to examine the long-run linkage between households’ usage of energy and economic progression in Pakistan from the period of 1972–2017. The Autoregressive Distributive Lag (ARDL) bounds testing method to co-integrate is employed to expose the causality dynamics between the variables such as households’ electricity consumption, households’ gas consumption, population growth, and per capita Gross Domestic Product (GDP) in Pakistan. The study adopted three renowned unit root approaches through the use of the Augmented Dickey-Fuller (ADF), the Phillips-Perron (P-P), and Zivot-Andrews (Z&A) tests to check the stationarity of the variables, while the Johansen cointegration technique is also employed to assess the robustness of the long-run association. The validity of outcomes is also checked with casualty and variance decomposition. The estimated results reveal that, in both the short and long run, households’ electricity and gas usage positively affect economic growth, while population growth in the long-run has a negative impact, but the short-run analysis has a positive impact on economic growth in Pakistan. Additionally, the Granger causality and variance decomposition confirm the robustness of outcomes and suggesting a long run association among the variables, and a unidirectional causal link running from three variables to economic growth of Pakistan in the short run.


2020 ◽  
Vol 20 (1) ◽  
pp. 23-49
Author(s):  
Selçuk Akçay ◽  
Alper Karasoy

AbstractThis study investigates the determinants of private sector investments in Turkey with a focus on democracy. Using the Autoregressive Distributed Lag (ARDL) bounds testing approach and two different democracy indices along with the other determinants of private investment, we estimated a private investment function for the 1975-2014 period. Our main finding is that democracy has a profound positive impact on private investment. Moreover, the results show that: (i) public investment is a substitute to private investment; (ii) macroeconomic instability dissuades private investment; (iii) real interest is a serious impediment to private investment; (iv) financial development and GDP growth rate stimulate private investment.


2012 ◽  
Vol 28 (3) ◽  
pp. 317 ◽  
Author(s):  
Nicholas M. Odhiambo

This study examines the short-run and long-run causal relationship between inflation, investment and economic growth in Tanzania. In the main, the study incorporates investment in a bivariate setting between inflation and economic growth hence, creating a trivariate model. The study attempts to answer one critical question: Does inflation have any significant influence on economic growth and investment in Tanzania? Using the ARDL-bounds testing approach, the study finds a unidirectional causal flow from inflation to economic growth without any feedback response. The study also finds that investment in Tanzania unambiguously causes economic growth. The results apply irrespective of whether the causality is estimated in the long run or in the short run.


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.


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.


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