Effectiveness of Foreign Aid to India in Post-Liberalization Era: The Self-Reliant India Expedition

The present study attempted to configure an ARDL model depicting the short and long-run effectiveness of foreign aid from the World Bank on India's growth and development. Analyzing the annual time series data of 27 years (1991 to 2017), the study indicated the effectiveness of foreign aid for economic growth in short-run and economic development in the long-run. However, with domestic savings in the country, foreign assistance only played a supportive role. Therefore, a self-reliant country like India favoured foreign assistance. The study suggested that India's Government focuses on making out policies and providing proper implementation and assistance from foreign financial assistance. Policy guidelines must be aimed at setting up a committee to review the proper utilization of foreign aid periodically. It would embark the effectiveness of foreign in the economic growth and development of the country.

2021 ◽  
Vol 39 (2) ◽  
Author(s):  
Muhammed Ashiq Villanthenkodath ◽  
Ubaid Mushtaq

This paper tries to explore the existence of a long-run relationship between foreign aid and economic growth by using the data from the two highest foreign aid recipient countries. Using the annual time series data from 1965 to 2017 this study uses several econometric models such as Johansen and Juselius cointegration, Granger causality and vector auto regression to establish the long and short-run relationships among foreign aid inflows and economic growth while also considering financial development and trade openness from both the countries. The empirical results suggest that no long-run relationship exists among foreign aid inflows and economic growth for both the countries. However, unidirectional causality running from foreign aid to economic growth is indicative in both countries. Therefore, the findings in this paper support the adequate need for foreign aid for effective economic growth amid an upright policy environment, related issues of conditionality and political stability. Our results are robust to independent, and control variables and estimation techniques are also on par with robustness.


2011 ◽  
Vol 3 (5) ◽  
pp. 235-241
Author(s):  
Muhammad Akram ◽  
Mahpara .

The objective of this study is to analyze the effects of foreign aid on economic growth of Pakistan. The time series data for the period 1980-2008 is used by applying OLS regression model and two diagnostic methods namely Breusch-Pagon and Durbin-Watson tests. Results depict that foreign aid is insignificantly related to the economic growth to Pakistan for short-run and long-run. By excluding the foreign direct investment, results are significant but still a negative relationship exists. This study will help to government organizations by recognizing about the impact of foreign aid on economic growth.


2021 ◽  
Vol 3 (1) ◽  
pp. 25-36
Author(s):  
Hina Ali ◽  
Javeria Masood ◽  
Afifa Sadar Ud Din

Purpose: This research examines the effectiveness of foreign aid on Pakistan’s economic growth.  The foreign aid efficiency is still under question. Some researches show positive affiliation of foreign aid with economic growth while some show negative affiliation. If foreign aid is not replacing or used as a substitute for domestic savings then foreign aid is useful for growth. To fill the two gaps of the economy the Two-Gap theory suggest that poor nations have to depend on overseas funds. Those two gaps are the Savings-Investment Gap and Import-Export Gap. There’re many kinds of international funds. Like foreign loans, development and non-development aid, FDI, and technological help. But underdeveloped nations like Pakistan have not a favorable speculation policy. Therefore, these nations are dependent on international aid and balance quite than foreign direct investment. Design/Methodology/Approach: For the analysis of this study the time era used is 1974 to 2016. The GDP is the dependent variable. Independent variables are population growth, foreign aid, inflation, foreign direct investment (FDI), and domestic savings. The annual data is collected from different sources. The technique for analysis is OLS and ARDL bound testing. Findings: Concluding remarks show that in Pakistan foreign aid affects economic growth negatively. Implications/Originality/Value: The  current  study  was  based  on the least  considered  variables  and  the  pioneer  in  testing  the  complex relationship through OLS and ARDL estimation.


2021 ◽  
Vol 39 (1) ◽  
Author(s):  
Muhammed Ashiq Villanthenkodath ◽  
Ubaid Mushtaq

This paper tries to explore the existence of a long-run relationship between foreign aid and economic growth by using the data from the two highest foreign aid recipient countries. Using the annual time series data from 1965 to 2017 this study uses several econometric models such as Johansen and Juselius cointegration, Granger causality and vector auto regression to establish the long and short-run relationships among foreign aid inflows and economic growth while also considering financial development and trade openness from both the countries. The empirical results suggest that no long-run relationship exists among foreign aid inflows and economic growth for both the countries. However, unidirectional causality running from foreign aid to economic growth is indicative in both countries. Therefore, the findings in this paper support the adequate need for foreign aid for effective economic growth amid an upright policy environment, related issues of conditionality and political stability. Our results are robust to independent, and control variables and estimation techniques are also on par with robustness.


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.


2019 ◽  
Vol 64 (3) ◽  
pp. 23-38
Author(s):  
Talknice Saungweme ◽  
Nicholas M. Odhiambo

Abstract This paper contributes to the ongoing debate on the impact of public debt service on economic growth; and it provides an evidence-based approach to public policy formulation in Zimbabwe. The empirical analysis was performed by applying the autoregressive distributed lag (ARDL) technique to annual time-series data from 1970 to 2017. The study findings reveal that the impact of public debt service on economic growth in Zimbabwe is negative in the short run but positive in the long run. The results are suggestive of the existence of a crowding-out effect of public debt service in Zimbabwe in the short run and a crowding-in effect in the long run. In view of these findings, the government should consider fiscal and financial policies that promote a constant supply of long-term finance, long-term fixed investments, and extension of a government securities maturity structure so as to ensure sustainable short- and long-term public debt service expenditures. The study further recommends the strengthening of non-distortionary revenue mobilisation reforms to reduce market distortions and boost domestic investment.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Stephen Esaku

PurposeIn this paper, the authors examine how economic growth shapes the shadow economy in the long and short run.Design/methodology/approachUsing annual time series data from Uganda, drawn from various data sources, covering the period from 1991 to 2017, the authors apply the ARDL modeling approach to cointegration.FindingsThis paper finds that an increase in economic growth significantly reduces the size of the shadow economy, in both the long and short run, all else equal. However, the long-run relationship between the shadow economy and growth is non-linear. The results suggest that the rise of the shadow economy could partially be attributed to the slow and sluggish rate of economic growth.Practical implicationsThese findings imply that addressing informality requires addressing underlying factors of underdevelopment since improvements in economic growth also translate into a reduction in the size of the shadow economy in the short and long run.Originality/valueThese findings reveal that the low level of economic growth is an issue because it spurs informal sector activities in the short run. However, as the economy improves, it becomes an incentive for individuals to operate in the informal sector. Additionally, tackling shadow activities in the short run could help improve tax revenue collection.


2020 ◽  
Vol 2 (4) ◽  
Author(s):  
Regina Septriani Putri ◽  
Ariusni Ariusni

Abstract : This study examined and analysis the effect of remittances, foreigndirect investment, imports, and economic growth in Indonesia in the long run andshort run. This study using Error Correction Model (ECM) method and using theannual time series data from 1989 to 2018. This study found that: (1) remittancehave an insignificant positive effect on economic growth in the long run and shortrun,(2)foreign direct investment have a significant positive impact on economicgrowth in the long run and short run, (3) import have an insignificant positiveimpact on economic growth both in the long run and short run. To increase theeconomic growth in the future, this study suggests the government to decresingimports of consume goods and increasing the inflow of capital goods, rawmaterial goods, remittances and foreign direct investment.Keyword : Remittance, Foreign Direct Investment, Import, Economic Growth andECM


2020 ◽  
Vol 6 (1) ◽  
pp. 273-282
Author(s):  
Majid Hussain Phul ◽  
Muhammad Saleem Rahpoto ◽  
Ghulam Muhammad Mangnejo

This research paper empirically investigates the outcome of Political stability on economic growth (EG) of Pakistan for the period of 1988 to 2018. Political stability (PS), gross fixed capital formation (GFCF), total labor force (TLF) and Inflation (INF) are important explanatory variables. Whereas for model selection GDPr is used as the dependent variable. To check the stationary of time series data Augmented Dickey Fuller (ADF) unit root (UR) test has been used,  and whereas to find out the long run relationship among variables, OLS method has been used. The analysis the impact of PS on EG (EG) in the short run, VAR model has been used. The outcomes show that all the variables (PS, GFCF, TLF and INF) have a significantly positive effect on the EG of Pakistan in the long run period. But the effect of PS on GDP is smaller. Further, in this research we are trying to see the short run relationship between GDP and other explanatory variables. The outcomes show that PS does not have such effect on GDP in the short run analysis. While GFCF, TLF and INF have significantly positive effect on GDP of Pakistan in the short run period.


2017 ◽  
Vol 18 (4) ◽  
pp. 911-923 ◽  
Author(s):  
Madhu Sehrawat ◽  
A.K. Giri

The present study examines the relationship between Indian stock market and economic growth from a sectoral perspective using quarterly time-series data from 2003:Q4 to 2014:Q4. The results of the autoregressive distributed lag (ARDL) approach bounds test confirm the existence of a cointegrating relationship between sector-specific gross domestic product (GDP) and sector-specific stock indices. The empirical results reveal that sector-specific economic growth are significantly influenced by changes in the respective sector-specific stock price indices in the long run as well as in the short run. Apart from that, the control variables, such as trade openness and inflation, act as the instrument variables in explaining the variations in the sector-specific GDP of the economy. The results of Granger causality test demonstrate unidirectional long-run as well as short-run causality running from sector specific stock prices to respective sector GDP. The findings suggest that economic growth of the country is sensitive to respective sub-sector stock market investments. The findings highlight the reasons for cyclical and counter-cyclical business phase for the overall economy.


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