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Archives of Business Research – Vol. 9, No. 6

Publication Date: June 25, 2021

DOI:10.14738/abr.96.10395. Duramany-Lakkoh, E. K. (2021). Foreign Aid and Economics Development Nexus: The Case of Sierra Leone. Archives of Business

Research, 9(6). 219-233.

Services for Science and Education – United Kingdom

Foreign Aid and Economics Development Nexus: The Case of

Sierra Leone

Ezekiel K. Duramany-Lakkoh1

Department of Accounting and Finance, Faculty of Management Studies

Institute of Public Administration and Management

University of Sierra Leone. A.J. Momoh Street

Tower Hill, Freetown Sierra Leone

ABSTRACT

This study investigates the impact of foreign aid on economic growth in Sierra

Leone using cointegration and error correction methodology by Johansen and

Juselius (1990). Utilizing secondary data for the period 1970 to 2018, the empirical

estimation revealed that foreign aid in Sierra Leone is positively and significantly

related to economic growth both in the short run and long run, confirming the

importance of the study. The policy implication of the study is that the Sierra Leone

government should seek more foreign aid to accelerate economic growth and

development.

Key words: Foreign Aid in Sierra Leone, Economic Development in Sierra Leone

INTRODUCTION

In Africa, more than $600 billion of foreign aid has been transferred since 1960s. Evidence also

shows that the continent has shown slow economic development, regardless of increasing

amount of aid. Like other developing countries, Africa’s debts continue to increase, as a

percentage of gross domestic products. The indebtedness of African countries constrained the

achievement of the Millennium Development Goals (MDG). According to the Human

Development Report of 2014 of the United Nations Development Program (UNDP), 70.8% of

48 the countries that did not achieve the MDGs are in Africa.

Aids are usually given to assist poorer nations to effects reconstruction, rehabilitation or some

structural reforms that should improve economic development of standard of living of the

citizenry (Abouraia, 2014). Foreign aid is a significant financial source for developing countries,

including Sierra Leone. When domestic growth is constrained, foreign aid is expected to

substitute in stimulating economic growth and provide sources of finance such as savings;

thereby increasing the amount of investment and capital stock in the country (Njeru, 2003).

Foreign aid could also influence investment in human and physical capital, the importation of

capital goods or information technology transfer.

Furthermore, from the beginning of global recognition and development, countries have

realised that for the betterment of their citizenry and nation-building, financial assistance from

1 Ezekiel K. Duramany-Lakkoh is Lecturer in the Department of Accountancy at the Institute of Public Administration and

Management, University of Sierra Leone. He is a professional accountant and financial economics.

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more developed and richer nations to smaller developing countries remain critical for national

goals achievement and fulfillment. There have been several studies on the impact of foreign aid

on the economic development of developing nations, but it is also important to consider the

need for foreign aid assistance, and how aid has affected different economic jurisdiction.

Historically, the advent of foreign aid could be traced back to the 1940s after the Second World

War’s massive destruction. Most African countries attract foreign aid after economic collapse,

either nationally or internationally.

According to Moyo (2009), foreign aid has done more harm than good in the African Continent.

This claim has been supported by many other scholars, Bonnie (1994), presented evidence that

shows that aid has not helped in sustainable economic development, regardless of the large

inflow into the continent since 1960. In contrast, Sachs et. at. (2004) contend that more than 6

million people will die a year from preventable and treatable causes, including

undernourishment, and other terrible diseases, if aid to Africa is stopped. Addison et al. (2002),

like Sachs (2004) presented that aid has reduced poverty in Sub-Sahara Africa and contributed

to growth. High corruption rate and authoritarian governments are some of the seasons

scholars are very critical about aid. The argument on the aids nexus to economic development

has also been extended to good governance and corruption.

Meanwhile, researchers have argued that a significant portion of foreign aid flowing to African

countries from developed nations have not been utilized efficiently to enhance economic

development. Corruption, poor states institutional administration and bureaucracy accounted

for some of the reasons for the misuse of foreign aid. Others opine that although aid has

sometimes failed, they should still be encouraged because they have supported poverty

reduction, health initiatives and growth in some countries. Over the last five decades, the World

Economic Forum (2015) estimates that western donors gave about $4.14 trillion-the equivalent

of more than seven times the 2014 GDP of Nigeria, in aid to developing countries.

These flows are topped up by support from non-governmental organisations and other private

charities, and the so-called new donor countries. Yet, in many of the developing countries

receiving the aid, poverty still looms large, and underdevelopment persists for which Sierra

Leone is no exception.

Sierra Leone has as in many other African countries have been receiving foreign aid, since after

independence. Hence, the country has remained highly aid-dependent with disbursed volumes

of aid higher than even the average for the most aid-dependent sub region, SSA. For Sierra

Leone’s receipt of foreign aid ranged from 30% of GDP in 2001, end of the civil war, to 12% of

GDP in 2018. As a result, the country still remains poor with high malnutrition rate, and infant

mortality rate (Kargbo (2012).

Statement of the Problem

Private sector development has been struggling because of higher cost of capital. According to

Duramany-Lakkoh (2020), there is a positive and statistically significant relationship between

private sector credit and interest rate in Sierra Leone. Meaning, the private sector is willing to

borrow regardless of the interest rate, showing the desperation in economy. When the private

sector is constrained, citizens become desperate for foreign aid as an alternative. There is

significant increase in foreign inflows, but the economic growth achieved by many West African

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countries has not been satisfactory. The definite role of foreign aid to Africa for instance has

been an argument among scholars. Sierra Leone has been among the major recipients of

international aid, yet, despite these notable donor interventions the country‘s economy

experienced less growth with poverty remaining inherent for many years. Yet, there are few

researches capturing the attention of assessing the effectiveness of aid on such a country. This

makes it necessary to study the subject in the case of Sierra Leone as an addition to empirical

literature.

Objective of the Study

The objectives of this study are to:

Ø Assess the impact of foreign aid on the economic growth of Sierra Leone.

Ø Identify its significance in the development process in Sierra Leone.

Scope of the Research

This research focuses specifically on the impact of foreign aid on Sierra Leone economic growth

in the period of 1970 to 2018. This 48-year period data is considered adequate to enable the

study offer credible conclusions.

Justification for the Study

A number of studies have been done on the effectiveness of foreign aid for both cross-country

& country specific cases. Previous country specific studies have considered regressions for aid

on growth. That approach does not take into account interactions between aid and other

growth determinant variables.

This study will therefore go further to estimate the impact of aid on growth through

intermediate variables and focused on FDI, openness, population.

LITERATURE REVIEW

Theoretical Literature Review

The proposition that aid can promote economic development is based on theoretical foundation

of the 2-gap model (McKinnon 1964), which posits that development in developing countries

may be hampered by the existence of the savings gap and the foreign exchange gap. The savings

gap arises from the fact that domestic savings, for various reasons, tend to be low in the typical

developing country. Thus, savings will inevitably fall short of the ‘required investment’,

therefore, the investment needed to grow at a target rate. The effect of foreign aid on economic

growth can be transmitted via its impact on investment, private and government consumption,

as well as capital accumulation.

Hanson and Trap (2000) suggested that growth and investment levels can be improved by the

use of aid to fill the finance gap. Even where no finance gaps exist, aid can change the

equilibrium level of investment by raising private investment through improved infrastructure.

Economic scholars have given various reasons supporting the view that aid might have no

impact on economic growth. These include waste mismanagement, corruption, likelihood of

currency appreciation that will erode the profitability of the production of all tradable goods,

reduction in both private and public savings, and bad government and economic practices

(Radelet et al. 2004).

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Scholars have particularly argued on two sides: the benefit of the foreign aid in promoting

economic development, transfer technology and enhance standard of living, while the other

school see foreign aid as more distractive and causes corruption and rent seeking behavior

among politicians. While there is still no consensus among economic scholars, various studies

are emerging on the relevance of foreign aid to economic development.

Burnside and Dollar (1997), two World Bank researchers have published several articles

suggesting causal relationship between economic growth and foreign investment. Their study

suggested that, with good fiscal policies like controlling inflation, budget deficit, economic

growth will be enhanced by foreign aid. Durbarry, et. al. (1998) also claims that foreign aod can

have a positive impact on economic growth with sound fiscal policy and other important socio- economic factors in place.

The study of Ali and Isse (2005) highlighted that even though foreign can have a positive

outcome on economic growth, but the overall outcome can diminish as the aid increases, if

other significant social and economic variables remains constant.

Notwithstanding the claims of Burnside and Dollar (1997), Durbarry, et. al. (1998), Ali and Isse

(2005) and others, Boone (1994) on the other hand observed that countries that have benefited

from foreign aid, especially in Africa have not shown any economic growth during the period.

Like Ali and Isse (2005), Knack (2001) concluded that foreign aid can cause red jacket protocols

and affect the administration and good governance, hence a recipe of state failure.

Not a lot of attention is paid to genocide, politicize, and revolution and their effects on growth

in the literature. It is reasonable to believe, though, that resources, including foreign aid, are

siphoned off by the dominant party and used for individual benefit rather than for economically

efficient activities, as intended.

A study by Jaouadi & Hermassi (2013) specifically mentions the negative relationship between

aid and governance in developing countries, noting that they are at a disadvantage for these

reasons as well, and the outcome of this relationship would affect the economic growth of

recipient Countries.

Economic Impact of Foreign Aid

According to Sogge and David (2002) argued that aid has caused poor management of public

resources, social collapse and widen inequality between the rich and poor. Rwanda was cited

as an example where the developed world disclaimed any responsibility after helping to

position in the edge of one of the worst genocide in the world. Again, it depends on the

leadership. Korea, Botswana and Honduras are few exceptions where foreign aid made

significant impact in the reduction of poverty and improvement in social service delivery, while

aid is believed to have played minor role in building effective public sector and in lifting millions

of poverty in larger number of countries including; Cuba, Zambia, Democratic Republic of

Congo, Haiti, Sierra Leone, Somalia, etc.

Good policy environments, according to Burnside and Dollar (2000), are those that are open to

trade, have low inflation rates, good share of the budget surplus in relation to GDP and balanced

government consumption in GDP. The study further presented that there are no clear impact

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between aid and policy. For example, in Ghana, good policies were rewarded, while in the case

of Zambia, aid increased between 1970 and 1993, while policies deteriorated throughout the

period. The study of Burnside and Dollar also argued that aid significantly impacted economic

growth in environment with good public policy regimes, as opposed to environment with

weaker economic and social policies.

Nature of Aid in Least Developed Countries

Government project oriented lending has a closed end matching structure, which means that

donors and recipients share the total cost of particular investment but with a limit on the total

amount of aid available. In other words, in order to receive the fixed amount of loan aid, the

recipient may be required to reallocate a certain amount of its own funds in addition to

requirements of how the funds should be utilized. The theoretical purpose for providing closed- end matching aid is to stimulate recipients to increase spending in the sector that receives the

aid. On the other hand, categorical aid, which is aid for special purposes but without the cost

sharing requirements, would be expected to have a smaller effect on recipient spending, since

there are no inputs of local funds (Cashel-Cordo, 1990).

Africa Development Bank, Asia Development Bank, European Bank for Reconstruction and

Development, Inter-American Development group and World Bank group are the five

institutions of Multilateral Development Institutions. The International Monetary Fund (IMF),

is the other multilateral source of financing for LDC’s. Unlike the MDB, IMF loans generally are

not tied to specific investment projects.

Thus, an IMF loan doesn’t require additional funds from the recipient central government. The

set of conditions on IMF loan, however, is in the form of policy changes required for the

recipients. IMF aid is also a form of closed end matching aid, since to receive fixed amount of

loan aid, the recipient may be required reallocating on how the IMF fund should be used Cashel- Cordo (1990). Aid is provided through both grants and loans, which generally targeted toward

specific sectors or purposes. The form of bilateral aid is categorical aid, in which aid is targeted

but where there is little or no cost sharing arrangement with recipient countries. The flow of

this foreign aid from high- to low-income countries can be classified into three types. The first

includes income transfers of a relief nature' such as emergency and distress relief inducing

drought-related food transfers, medical and refugee relief, and balance of payment crisis

support. These transfers are generally temporary responses to unanticipated events of shocks

to the economy. They can be perceived as an attempt by the donor community to help finance

what is denoted in the permanent-income theory as transitory consumption.

In addition, they can be viewed as an attempt to maintain a 'subsistence' level of consumption

by absorbing the shocks to income entirely by changes in savings (Friedman (1957). The second

type of aid consists of income transfers for development purposes, such as project aid and

technical assistance. The level and duration of these transfers are signaled by past and current

commitments and may, therefore, be approximately anticipated by recipients. Contrary to the

temporary nature of the relief transfers, development assistance is more systematic and

permanent.

However, the fungibles of these funds are somewhat limited because they are tied to specific

projects or programmes. It has also been argued that, foreign aid can also be used to assist

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friendly government and commercial interests, rather than promoting economic growth

(Kruger, 1986). In some of these cases diplomatic realities may preclude using the donors’

resources for developmental purposes. Hence, the objective of such type of aid has often been

military or political factor, which may or may not be consistent with using the resources.

Relationship between Foreign Aid and Economic Growth

Many scholars including Islam (2003) presented foreign aid as having demining returns when

compared to the rate of returns on economic growth. The nexus between foreign aid and

economic development remain to be controversial. The relationship between aid and economic

growth has always been a controversial issue. Voivodas (1973) conducted one of the first

studies of the relationship between foreign aid and economic development, from a sample of

22 underdeveloped countries, covers from 1956 to n1968 and found a negative relationship

between the two variables. This study however, lacks sufficient data and lacks the required

economics techniques.

Empirical Literature Review

On the important question of whether aid contributes to development or not, the debate is

broadly divided into those who believe that aid is an important tool for developing nations to

achieve take-off Sachs (2004), while other scholars believes that foreign aid has further

improvised poor nations, instead of making them better. More recently, there are writers who

are more interested in the political and 'world trade' undertones of foreign aid (Easterly, 2006;

Chang, 2007; Moyo, 2009 and Stiglitz, 2002).

In a study conducted by Burnside and Dollar (2000) using data from developing countries, it

was concluded that foreign aid has a positive effect on economic growth in low-income

countries with good policies, while it has no measurable effect in countries with severely

distorted policy regimes.

Gomanee, et al (2005) tested the hypothesis that aid contributes to increasing aggregate

welfare, measured by infant mortality and Human Development Index (HDI) in recipient

countries. Estimation was based on data for 104 countries over the period 1980 to 2000, and

for sub-samples of low income and middle-income countries. The results shows robust

evidence to support the argument that foreign aid to low income countries provides direct

relationship to welfare or through economic growth.

Alvi and Senbeta (2011) examined the effects of foreign aid on poverty using dynamic panel

estimation techniques. According to them, this technique enables the control for time-invariant,

country-specific effects of aid and its endogeneity. The results show that poverty reduced

significantly on foreign aid, after controlling the variable for average income. Foreign aid is

thus associated with a reduction in poverty as measured by the poverty rate, poverty gap index

and squared poverty gap index. Alvi and Senbeta (2011) concluded that the composition of aid

matters, as multilateral aid and grants have more poverty reducing effect than that of bilateral

aid and loans.

The study of Dreher, et al. (2006) examines foreign aid and its impact on specific human

development variables, using panel data and a dynamic panel estimator on primary school

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enrolment rate as the measure of education outcome. The study establishes statistically

significant relations between foreign aid given to enhance primary school enrolments.

Mishra and Newhouse (2007) focused their research on the effectiveness of aid on health

outcomes. Panel data was used to study the effect of aid on various health variables. The study

concludes that total aid per capita and per capita health aid reduce infant mortality rates

significantly but aid has no significant impact on life expectancy. Aggregate aid improves

Human Development Index (HDI) and reduces infant mortality rates in less developed nations.

Gomanee, et al(2005) are also of the opinion that aggregate aid improves human welfare and

reduces infant mortality rate and effectiveness of aid on health and human welfare is higher at

lowest levels of income.

On the other, Humley and Mosley (1996) argued that when the donor receipt relationship is

modeled as a non-cooperative game, moral hazard problems can lead to aid having little impact

on the problems it is intended to alleviate. Aid may simply relax the budget constraint of the

recipient government without having much impact on the amount of that budget that ultimately

is used to purchase capital. Furthermore, the donor government can also be part of this game

for reasons other than benevolence.

Mallik (2008) examined the effectiveness of foreign aid on economic growth in the six poorest

and highly aid dependent African countries by using the Johansen’s co-integration tests. The

empirical results showed that aid as a percentage of GDP and the long run impact of aid on

growth was found negative for most of the sample countries. Ali and Ahmad (2013) conducted

a research that accesses the inequality of foreign aid on income equality in Pakistan, the study

covers the period from 1972 to 2007. The results shows that income inequality expands as

foreign aid increase in the long run, suggesting that foreign aid given to Pakistan during the

period has proven unproductive in terms of how it translates to economic development.

Ugwuegbe, Okafor and Akarogbe (2016) investigated the effect of external borrowing and

foreign financial aid (foreign grant) in the form of official development assistance (ODA) on the

growth.

The inconsistence results from various researchers, using different estimation methods in

different economic jurisdictions has inconclusively deepened the debate on foreign aid and

economic development. Notwithstanding the enormous number of literature on academic

articles, scholars are very much divided on the impact of aid.

In summary, the literature in general is suggesting that the impact of foreign aid depends on

the governance structure of the jurisdiction and what the aid is used for. Other factors, such as

the quality of a developing country’s government and the policies it pursues, appear to be as

equally important in promoting growth and development, than the quantity type of foreign aid

received.

METHODOLOGY

Model Specification

The model used to estimate the impact of foreign aid on economic growth in Sierra Leone is

adopted from the approach of Okoli and Agu (2015) expressed as:

GDP = f (FA, EXCR, IMPT, EXPT)

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Where:

GDP= Gross Domestic Product

FA= Foreign Aid Flows

EXCR= Exchange Rate

IMPT = Import

EXPT= Export

However, for the sake of data availability and suitability of this study, we consider modifying

the above model by replacing import and export variables with openness (OPN). OPN is

introduced to measure trade as a percentage of GDP and is obtained by summing import and

export, and expressing the result as percentage of GDP. In addition, we include the population

growth (PPG) variable to represent labour force in Sierra Leone, and official development

assistance (ODA). Therefore, the modified model is specified as follows:

GDPG = f (FDI, OPEN, PPG, ODA)

Where:

GDPG = Gross Domestic Product growth rate

FDI = Foreign Direct Investment as a percentage of GDP

OPEN = Openness as proportion of GDP

PPG = Population growth

ODA = Oversea Development assistance.

In equation format, the model is expressed as:

Where:

GDPG = Gross Domestic Product growth

FDI= Foreign Aid flow

OPN = Openness of the economy

PPG = Population growth

ODA = Overseas development assistance

U= the stochastic error term.

The a priori expectation are b1>0, b2>0, b3>0, and b4>0

Where, β0 is a Constant and β1- β4 are coefficients to be estimated.

E-views 9 software is used to estimate the model.

Data and Sources

This research relies on secondary data sourced from existing World Development Indicators

(WDI) database on the World Bank. It uses annual time series data covering the period 1970

to2018.

Evaluation Procedure

Having established the appropriate model, we pursue the following estimation procedure:

GDPG FDI OPN PPG ODA U =+ + + + + bb b b b 01 2 3 4

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Stationarity Test

The first step prior to estimating a model is to test the characteristics of the variables of the

model. This is done by conducting a stationarity or unit root test on each variable, by employing

the Augmented Dicker-Fuller (ADF) statistic.

The ADF test is designed to ascertain the order of integration of the variables in the model

(Dickey and Fuller, 1979). The stationarity test is performed first at levels and then at first and

second differences to establish the presence of unit roots and the order of integration in all the

variables.

Cointegration Test

The next step is to estimate a vector auto regression equation from which a cointegration test

is conducted. The cointegration test establishes the existence of long-run relationship between

the variables. This step is carried out because all series are non–stationary at level, hence the

check of whether there is long-run equilibrium of the series, as noted by Johansen and Juselius

(1990).

Vector Error Correction Model (VECM)

Next, I do a vector error correction model to determine whether the dynamism governing the

behaviour of the economy in the short-run is different from the long-run. The cointegration

term is known as the error correction term since the deviation from long-run equilibrium is

corrected gradually through a series of partial short-run adjustments (Gujarati and Sangeetha,

2007).

ESTIMATION, ANALYSIS AND DISCUSSION OF RESULTS

Unit Root Test

The unit root (or stationarity) test is conducted to enable us know the order of integration of

the variables under study. Results of the stationarity (unit root) using the Augmented Dickey

Fuller approach, are shown in table (1) as follows:

Table 1: Unit Root Test Results

Variable Level T-Statistic First Difference T- Statistic

Order of

Integration

GDPGR 6.2734 I(0)

FDI 4.2734 I(0)

ODPC 1.8080 5.8189 I(1)

OPEM 2.7640 I(0)

PPG 3.2748 I(0)

Source: Reviews output conducted by the researcher

Note *, and ** indicate that the variable is stationary at the 1 %, and 5% level of significance

respectively and I (0) = order of integration. From the result above all the variables, with the

exception of official development assistant (ODPC), are integrated of order zero (I (0)). That is,

they are stationary in levels, while ODPC is stationary at first difference.

We can see from table (1) that all the variables except openness to the economy are stationary

at levels with 1level of significance.

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Cointegration Test

Having established the stationarity condition of the variables, our next step is to ascertain

whether there is a long run relationship of the dependent variable (in this case GDP) and the

independent or exogenous variables such as FDI Openness, overseas development assistance

and population growth. This is achieved by employing the co-integration test by Johansen and

Juselius (1990). The result is shown in tables 2 and 3 below:

Table 2: Johansen Co-integration Test Trace Results

Hypothesized

No. of CE(s)

Eigenvalue Trace

Statistic

0.05

Critical Value

Prob.**

None * 0.775020 113.5340 69.81889 0.0000

At most 1 0.404478 44.91391 47.85613 0.0921

At most 2 0.235375 21.07130 29.79707 0.3532

At most 3 0.151887 8.726271 15.49471 0.3913

At most 4 0.024652 1.148190 3.841466 0.2839

Source: Reviews Output Conducted by the Researcher

Table 3: Maximum Eigenvalue Results

Hypothesized

No. of CE(s)

Eigenvalue Max-Eigen

Statistic

0.05

Critical Value

Prob.**

None * 0.775020 68.62014 33.87687 0.0000

At most 1 0.404478 23.84261 27.58434 0.1403

At most 2 0.235375 12.34503 21.13162 0.5140

At most 3 0.151887 7.578081 14.26460 0.4232

At most 4 0.024652 1.148190 3.841466 0.2839

Source: Reviews Output Conducted by the Researcher

We can see from the above tables that both the Trace and Max-eigen statistics

indicate cointegration at 1 per cent level of significance, with one cointegrating

equation. This implies that there is a long run relationship among the variables.

Vector Error Correction Model

Having established long-run relationship, we proceed to estimating the long run and

short run equations as shown in tables 4 and 5 respectively.

Long Run Estimates

The result of the normalized long run co integration equation is presented in the

table below:

Table 4: Long Run Estimate Results

Variable Coefficient Std. error t ratio

ODPC(-1) 0.043185 (0.01373) [ 3.14516]

OPEM(-1) 0.264504 (0.03998) [ 6.61627]

PPG(-1) -1.432624 (0.51111) [-2.80299]

FDI(-1) -1.147525 (0.09259) [-12.3932]

C -11.87795

Source: Eviews Output Conducted By The Researcher

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The long run equation as shown in the table indicate that overseas development

assistance (ODPC) and openness (OPEM) are positively and significantly related to GDP

in the long run, while population growth (PPG) and foreign direct investment FDI) are

negatively and significantly related to GDP in the long run. This means that ODPC and

OPEM conform with the a priori expectation, while PPG and FDI have the opposite sign.

Short Run Dynamics

According to Engle and Granger (1987), when variables are cointegrated, their dynamic

relationship can be specified by an error correction representation.

The result of the normalized short run co integration equation is presented in the table

below:

Table 5. Results of the Error-Correction Model (VECM)

Variable Coefficient Std. error t ratio

CointEq1 -0.859620 (0.27110) [-3.17086]

D(GDPGR(-1)) 0.077088 (0.20845) [ 0.36982]

D(GDPGR(-2)) -0.023288 (0.14213) [-0.16385]

D(ODPC(-1)) -0.124732 (0.06696) [-1.86289]

D(ODPC(-2)) 0.150347 (0.06873) [ 2.18741]

D(OPEM(-1)) 0.149464 (0.10455) [ 1.42955]

D(OPEM(-2)) 0.208005 (0.10207) [ 2.03793]

D(PPG(-1)) 3.533027 (5.88995) [ 0.59984]

D(PPG(-2)) -0.333647 (5.64445) [-0.05911]

D(FDI(-1)) -0.960874 (0.26945) [-3.56611]

D(FDI(-2)) -0.322984 (0.21575) [-1.49706]

R Squared 0.7246

Adjusted R squared 0.6355

F statistic 8.1331

Source: Eviews output Conducted by the Researcher

The tables indicates that in the short run ODPC and OPEM lag 2 are significant and

positively related to GDP, while FDI lag 2 is negative and significantly related to GDP.

However, population growth both lag1 and 2 are not significant to GDP.

The error correction term indicates the speed of adjustment to long-run equilibrium in the

dynamic model. In other words, its magnitude shows how quickly variables converge to

equilibrium when they are disturbed. It is expected to be statistically significant with a

negative sign. The negative sign implies that any shock that occurs in the short-run will be

corrected in the long-run. The larger the error correction term in absolute value, the faster

the convergence to equilibrium.

The coefficient of error correction term is -0.8596 indicating that 86% of a deviation from

the long runs in the previous is corrected in the current year. Whereas ODPC and OPEM

exhibited a positive and statistically significance relationship with economic growth, FDI

showed a negative and statistically significant relationship with growth in the short.

However, population growth is not significant to economic growth.

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The coefficient of determination (R2) indicates 63 percent of the ODPC, OPEM, FDI and PPG

jointly account for the variation in GDP. F-statistic (8.13) is higher than the critical f-value

(2.34) suggesting significance and model adequacy.

In short, the analysis reveals that foreign aid, represented by ODPC, contributes positively

and significantly to economic growth both in the short run and long run.

CONCLUSION AND RECOMMENDATION

Summary

This study considered the impact of foreign aid on the economic growth in Sierra Leone

covering the period 1970 to 2018. The reason for this study is based on the fact that foreign aid

is an important source of finance in most countries in Sub-Sahara Africa (SSA), Sierra Leone not

an exception. Foreign aid is expected to stimulate economic growth by supplementing domestic

sources of finance such as savings; thereby increasing the amount of investment and capital

stock in the country (Arnold, 1985; Khan and Rahim, 1993; Mbakwu, 1993). Despite its

importance, foreign aid has been observed in Sierra Leone as rather than impacting positively

on infrastructure and economic development, it only resulted in waste and unproductive public

consumption because of perceived corruption, policy implementation and weak institutions

(Ugwuegbe et. al. (2016). Easterly(2006), Chang (2007) Moyo (2009) and Stiglitz (2002)

further maintained that rather than assisting poor African nations to develop, foreign aid

further impoverishes them.

Conclusion

Because of these assertions the study was conducted using secondary data and employing

vector error correction method of analysis. The study revealed that foreign aid in Sierra Lone

is positively and significantly related to economic growth both in the short run and long run.

R2 was 63 percent and F-statistic was significant. The study also clearly show that FDI is

negatively and significantly related to economic growth while population growth is not in any

way related to economic growth.

Recommendation

The simple recommendation is that, government should ensure that aids received are properly

channeled into productive uses such as investment. Government should create collaborative

institutions to check the disbursement and use of aid and hence prevent the likely diversion of

aid to personal purposes. In addition, studies have shown aid to be more effective in sound

economic policy environments. Against this background, governments and multilateral

institutions should continue to push economic reforms and trade liberalization on recipient

governments. Not only will this improve the effectiveness of foreign aid, but it will also result

in less aid being required from seeking foreign aid assistance; so long as the national savings

remains poor.

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233.

URL: http://dx.doi.org/10.14738/abr.96.10395

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