Journal of Economics and Sustainable Development
ISSN 2222-1700 (Paper) ISSN 2222-2855 (Online)
Vol.6, No.10, 2015
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The Causal Relationship between Savings and Investment in Jordan (A
prospective study for the period 1980-2013)
1
Dr.Mohammad AbdelMohsen Al-Afeef, 2Dr.Anas Ali Al-Qudah
Assistant Professors, Jadara University, P O Box 21110 PA 733
1, 2
Abstract
This study aimed to discuss concerning the link between savings and investment, and highlight on most of the past studies
concerning this relationship are cross-sectional in nature. The obvious difficulty with such studies is the homogeneity
assumption that is usually made across the countries under investigation.
In light of this, the study tried to fill this gap in some ways by attempting to investigate the causal relationship between
savings and investment in Jordan using relevant econometric techniques, like Augmented Dickey-Fuller (ADF) test in a
regression & Johansen co integration test.
The evidence arising from the study suggests that, savings and investment are co-integrated. In other words, there is no
reason to suspect either a long-run or equilibrium relationship between these two variables.
This could also be interpreted to imply the existence of high capital mobility. Furthermore, a unidirectional causal
relationship between savings and investment in Jordan running from savings to investment was observed, and the main
findings in this study were: Johansen co-integration test result shows evidence of co-integration implying that there is a long
run relationship between GDP and savings, investment and FDI in Jordan. Savings and domestic investment have long run
positive and significant impact on the Jordanian economy while FDI has negative but insignificant impact on the economy
Keywords’: Investment, Savings, ,Time series macroeconomic data, FDI, GDP, Augmented Dickey-Fuller (ADF) test,
Johansen co-integration test
1.
Introduction
This study made a logical attempt to contribute to the literature on savings and investment nexus in Jordan by relying upon
econometric methods. Conventional thinking holds that savings is an essential element in promoting investment and
therefore, economic growth. Thus, there is plentiful evidence in the literature suggesting that countries that achieved high
rates of economic growth also experienced corresponding high savings and investment rates. While raising savings is not a
sufficient condition for achieving sustained growth, however, it does appear to be a necessary condition for higher sustained
growth.
Economic research, both theoretical and applied, cites that the development problem and lack of economic growth has been
shown to be conditioned by inadequate savings. Given that these macroeconomic indicators are key requirements for growth
and development, by implication lack of investments is common in developing countries like Jordan, although the level of
national saving is considered high. Low domestic savings level is a common problem in developing nations, because of poor
performance of the economies, poor financial sector development, low wages and salaries and high unemployment levels.
Concomitantly, the lack of adequate domestic investment requires the encouragement of foreign savings via unrestricted
capital flows. Therefore, appreciating the causal relationship between savings and investment is relevant for policy
implications, especially for a country belonging to a Common Monetary Area (CMA). If savings causes investment in
Jordan, then promoting domestic savings should be a high priority to boost investment and economic growth cum
development. Alternatively, if causation is from investment to savings, savings-promoting policies are likely to be
unsuccessful and economically inefficient. If this is the case, then policy emphasis should concentrated on removing the
barriers to investment hence, promoting investment. Given these facts, causality issues regarding savings and investment are
of great interest for Jordan as a member of the CMA.
One of the points that emerge from the discussion is that while saving is undeniably an important part of the economic
process that gives rise to new investment and economic growth, the precise relationship between saving and investment is
somewhat complex. This helps to explain why there are differences of judgments as to what is a satisfactory national saving
rate.
There are two views of the topic titled Savings and Investment. One is considered to apply to real physical macroeconomic
activity, the "Keynesian", or National Accounts view. The other is considered to apply to money and banking, the
"Monetarist" view. They primarily differ slightly in definitions of terms, which consequently lead to different discussions
about very different subject matter. The two views actually are different subject areas, making it the historical debate difficult
to collate, let alone reconcile.
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Keynesians start with accounting definitions, where Savings = Investment, by construction, and tend to emphasize the
nonproductive (zero sum) nature of all vehicles by which savings eventually ends up as capital. Monetarists tend to focus on
technical distinctions of how savings is transformed from money balances, eventually into capital, and emphasize the value
of those components in selecting which capital to invest in.
In a Keynesian sense, savings is whatever is left over after income is spent on consumption of goods and services, investment
is what is spent on goods and services that are not 'consumed', but are durable. Since Income = Output, Savings = Investment
for the total world's economy (or for a hypothetical 'closed' economy with zero foreign trade).
In a Monetarist sense, savings is the total rate at which units of account exceed expenditures, and are accumulated as unit of
account (e.g. JD) balances with financial intermediaries, or sometimes hoarded as currency. Investment is the rate at which
financial intermediaries and others expend on items intended to end up as capital that directly creates value, i.e. physical
capital, durable goods, human capital, etc. In general, savings does not equal investment, but differs slightly at all times, the
differences constituting a behavioral relationship, rather than an accounting one, as in the Keynesian view.
1.1.
The Components of Aggregate Saving
For this purpose it is helpful to introduce the concept of the Gross Domestic Product (or GDP), and some elementary
associated national accounting relationships. The GDP is simply a measure of the country's aggregate rate of production of
final goods and services over a specified period. (It is from changes in GDP that we calculate the national rate of economic
growth that is so often cited by politicians). The millions of commodities included in the GDP may be classified in various
ways.
A widely used system of classification distinguishes between consumption goods and services, C (which includes such things
as food, clothing, cars, refrigerators and haircuts purchased by households); private sector investment goods, (which includes
such things as plant and equipment and inventories purchased by the business sector, as well as residential housing purchased
by households); goods and services purchased by the government sector, G; and net exports, NX (the difference between
exports and imports of goods and services). We may consider net exports a proxy for the balance of current account in the
balance of payments.
On this basis, then, it can represent the (real) GDP for any period as a sum of these components:
GDP = C + I + G + NX………………….
(1)
The process of production generates not only a flow of outputs of goods, but also a flow of incomes to those participating in
the process. Since, in general, every Dinar of production generates a Dinar of income, it follows that the real GDP of a
country reflects a corresponding flow of aggregate real income in that country.
The incomes received by households may be categorized into the part that they spend on consumption goods, the part that
they save, and the part that they are required to pay in taxes. Thus aggregate income may be represented as a sum of
consumption (C), saving (S) and taxation (T). Bearing in mind that we can represent aggregate income by GDP, we can
summarize the components of income as:
GDP = C + S + T…………………
…. (2)
Now it may combine the definitions of aggregate output and aggregate income in equations (1) and (2), to get:
C + I + G + NX = C + S + T………………… (3)
This may be rearranged as:
I = S - (G - T) – NX ……………………… . (4)
This important national accounting relationship gives us the key to much of the discussion in 'The Paradox of Thrift'
concerning the macroeconomic significance of the national saving rate. For it defines, in the three terms on the right hand
side, the sources of saving from which aggregate investment can be financed.
The first is domestic private sector saving, S (that is, saving by households and business enterprises). The second is public
sector saving, represented by the government budget deficit, or the difference between government expenditure and tax
revenue, (G-T).
The third source of saving is the foreign sector. By the logic of our international economic relationships any net borrowing
from the rest of the world implies a corresponding current account deficit. Thus the utilization of foreign saving is
represented here by net exports, NX. It is important to note that, in principle, any of these saving flows may be positive, zero,
or negative.
1.2.
Saving, Investment and Foreign Debt
It is clear now that some of the confusion about the relationship between saving and investment derives from the fact that
there are several kinds of saving to be taken into account. Total saving is made up of a domestic component and an
international component, either of which may be positive, zero or negative. Domestic, or national, saving comprises the
saving of the private sector, S, and the saving of the government sector (G-T).
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If the government sector is in deficit, as in Australia it typically has been over the period since the Second World War, then
the government is Dis-saving and contributing negatively to aggregate domestic saving. It can see then that under those
conditions if indeed the national saving rate is thought to be too low, the government itself must share the responsibility for
this, and any attempt to correct the problem can have important budgetary implications.
2.
Definition of Saving (from the Concise Encyclopedia of Economics)
Saving means different things to different people, to some it means putting money in the bank. To others it means buying
stocks or contributing to a pension plan. But to economists, saving means only one thing—consuming less in the present in
order to consume more in the future.
3. Definition of Investment (from the Concise Encyclopedia of Economics)
Although in general parlance investment may connote many types of economic activity, economists normally use the term to
describe the purchase of durable goods by households, businesses, and governments. Private (nongovernmental) investment
is commonly divided into three broad categories: residential investment, which accounts for about a quarter of all private
investment (25.7 percent in 1990); nonresidential, or business, fixed investment, which accounts for most of the remainder;
and inventory investment, which is small but volatile. Indeed, inventory investment is often negative (it was in 1990, and in
three years during the eighties). Business fixed investment, in turn, is composed of equipment and nonresidential structures.
Equipment now makes up over three-quarters of business investment.
4.
4.1.
Literature Review
Cyril Ayetuoma Ogbokorm, Oscar Andiya Musilika (2014): Investigating the Relationship between Aggregate
Savings and Investment in Namibia: A Causality Analysis, Research Journal of Finance and Accounting, Vol.5,
No.6.
The discussion concerning the link between savings and investment in the literature is quite extensive. Most of the
past studies concerning this relationship are cross-sectional in nature. The obvious difficulty with such studies is
the homogeneity assumption that is usually made across the countries under investigation. Therefore, country
specific studies are necessary to shed light on the savings-investment nexus. For Namibia, such studies are very
scarce. In light of this, the study tried to fill this gap in some ways by attempting to investigate the causal
relationship between savings and investment in Namibia using relevant econometric techniques. The evidence
arising from the study suggests that, savings and investment are not co integrated. In other words, there is no reason
to suspect either a long-run or equilibrium relationship between these two variables. This could also be interpreted
to imply the existence of high capital mobility. Furthermore, a unidirectional causal relationship between savings
and investment in Namibia running from savings to investment was observed. In light of these results, some policy
measures were put forward.
4.2.
Imoughele, Lawrence Ehikioya. (2014): An Econometric Analysis of the Determinants of Private Domestic
Savings in Nigeria (1981 -2012), International Journal of Humanities and Social Science, Vol. 4 No. 5.
This paper empirically evaluates the determinant of private savings in Nigeria (1981- 2012). The study used co
integration and Error Correction Mechanism to determine the relationship between private savings and internal and
external factors. The result was robust. Our results show that income per capital, inflation rate, term of trade and
financial deepening are significant determinants of private savings in Nigeria. The study recommended that there is
need for proper financial market development and government should retain tight monetary and fiscal policies in
order to fight inflation in the Nigerian economy. Finally, Government expenditure should be tied to specific viable
economic projects in the economy. All non-viable projects should not be sourced through deficit financing and
adequate machinery should be put in place by all sectors of government to arrest corruption and penalize those
perpetrate it. This will make fiscal policy to have positive and significant impact on private savings in Nigeria.
4.3.
Victor E. Oriavwote, Dickson O. Oyovwi (2013): Modeling Private Investment Behavior in Nigeria: A Co
integration Approach, Accounting and Finance Research Vol. 2, No. 3;
This study was aimed at investigating the behavior of private investment in Nigeria. Using data covering the period
between 1980 and 2011, the result of the parsimonious ECM indicates that the huge government expenditure on
infrastructure has been beneficial to private investors in Nigeria. The result also indicates that private investment
has been influenced by the international competitiveness of Nigeria as indicated by the significance of the Real
Effective Exchange Rate. The high rate of inflation has however been detrimental to the development of private
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investment in Nigeria. The Johansen co integration test supports the existence of a long run relationship among the
variables and the negatively signed and significant ECM insinuates a satisfactory speed of adjustment. Government
should thus intensify efforts to tackle the high rate of inflation and further increase the competitiveness of the
economy.
4.4.
Kalu Ebi Uma, Joseph Chukwudi Odionye, Hyacinth N. Aniagolu, Ezeoke C Obiora (2014):AN
INVESTIGATION OF THE EFFECTS OF INVESTMENT AND SAVINGS IN NIGERIA ECONOMY, 810 September 2014- Istanbul, Turkey Proceedings of SOCIOINT14- International Conference on Social Sciences
and Humanities.
The study examined the influence of investment and saving in Nigeria economy using time series data ranging
from 1980-2012. Augmented Dickey-Fuller test was used to ascertain the time series property of the data. Based on
the order of integration, long run relationship was tested using Johansen co integration. Vector error correction
model was employed in the data analysis. Impulse response function was used to trace the transmission of periodic
shocks between gross domestic product (GDP) and savings, investment and foreign direct investment while
Cholesky forecast error variances decomposition was used to forecast error variance decomposition between gross
domestic product and savings, domestic investment and foreign direct investment (FDI). The results revealed,
among others that the response of GDP to savings is oscillatory implying that there is no definite pattern of
response of GDP to savings in Nigeria; FDI and savings seem to be the driving force behind GDP variance in
Nigeria, and savings and domestic investment have long run positive and significant impact on the Nigerian
economy while unexpectedly, FDI has negative but insignificant impact on the economy. Consequently, among the
recommendations made were: inflation adjusted interest rate policy should be put in place in order to reduce the
cost of borrowing and thus increase investment in the country and there is the need for proper maintenance of
restrictive monetary, fiscal, and exchange rate policies.
4.5.
Dennis Tao Yang (2012): Aggregate Savings and External Imbalances in China, Journal of Economic
Perspectives—Volume 26, Number 4—fall 2012—Pages 125 146.
The high savings and investment rates in China have been a major driving e high savings and investment rates in
China have been a major driving force behind its rapid economic growth. During the 1980s and 1990s, behind its
rapid economic growth, During the 1980s and 1990s, China’s high savings rates in the range of 35 – 40 percent of
GDP were not china’s high savings rates in the range of 35–40 percent of GDP were not accompanied by external
imbalances; its current account balance fl accompanied by external imbalances; its current account balance
fluctuate within actuated within 2 percent of GDP in most of the years. However, starting around 2001, China’s
percent of GDP in most of the years. However, starting around 2001, China’s already high savings rate soared
further, and the current account surplus also raised already high savings rate soared further, and the current account
surplus also rose along a steep trajectory. In 2008, China’s aggregate savings rate reached 53 percent long a steep
trajectory. In 2008, China’s aggregate savings rate reached 53 percent of GDP, whereas the current account surplus
exceeded 9 percent of GDP. Although f GDP, whereas the current account surplus exceeded 9 percent of GDP,
although the current account surplus moderated during the current account surplus moderated during the financial
crisis, it remained at financial crisis, it remained at a lofty 5.2 percent of GDP in 2010.
4.6.
Ahmed Salami, Mohammed Sheikhi (2013): Causality Testing and Co-integration between Savings and
Investment in the Algerian Economy during (1970-2011), Journal of researcher, Vol 13, 2013, PP: 121-134.
This Study aimed to examine the relationship between the savings rate and the investment rate in the Algerian
economy during the period (1970-2011). In order to improve whether the time-series variables stable or not, it is
required the use of certain statistical tools, in addition to the unit root tests, were also identified integration rank
each variable separately. It turns out that the variables integrated first-class, and in the light of this, Co-Integration
test was used for each of the joint method Engle - Granger and Johansen method, in addition to our use of the
methodology of Granger causality, in order to verify the existence of a long-term relationship between the two. It
was evident from the analysis the lack of equilibrium relationship between savings and investment in the Algerian
economy during the period of the study. The probably explanation for this is due to the nature of the national
economy, which is heavily based on the hydrocarbon sector as a major source of the national income and the
foreign exchange, and lack of diversity of economic activity and the structure of exports on one hand, and to
weakness capacity of the national economy on the other.
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5.
Data and methodological Issues
5.1.
The study hypotheses:
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The 1st Hypothesis: there is no relationship between GDP, savings, investment and FDI in Jordan.
-
The 2nd Hypothesis: there is no effect in the long run for the Savings and domestic investment on
the Jordanian Economics.
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5.2.
Methodology:
Annual data series from 1990 to 2014 have been used. These series were sourced from Central Bank of Jordan Statistical
Bulletin (2014). To fully explore the data generating process, examine the time series properties of the model variables using
Augmented Dickey-Fuller (ADF) test in a regression with a drift:
The ADF test regression equations with constant are:
∆GDPt = α0 + α1* GDPt-1 + Σj=1 aj GDPt-1 + ε t ………….. (5)
∆SAVt = β0 + β 1* SAVt-1 + Σj=1 bj SAVt-1 + ε t ………….. (6)
∆INVt = γ0 + γ 1* INVt-1 + Σj=1 φj INVt-1 + ε t ………….. (7)
∆FDIt = λ 0 + λ 1* FDIt-1 + Σj=1 σj FDIt-1 + ε t ………….. (8)
Where ∆ is the first difference operator, εT is random error term. In equations (5) through (8), where: αi ≠ βi ≠ γi ≠ λi < 1
(level stationary). The long run equilibrium relationship between savings, investment and economic development was
investigated using Full Information Maximum Likelihood (FIML) Multivariate Johansen co-integration procedure. The
Johansen co-integration test is given as:
Y t = A1Yt-1 +...…+ A p Yt-p + B X t + ε T…………………. (9)
Where Y t is a vector of non stationary I (1) variables; X t is a vector of deterministic variables and ε
innovations, and may rewrite this as in VAR form as:
∆Y t = π Y t-1 + Σj=1 αI Y t-p * A p Y t-p+ B X t + ε T …… (10)
T
is a vector of
The Vector Autoregressive (VAR) model was employed. The choice of a VAR model to be transformed into a vector
error correction mechanism (VECM) is made because it is one of the models that are not vulnerable to simultaneity bias.
It offers an easy solution in explaining, predicting and forecasting the values of a set of economic variables at any point
in time. It has the ability to test for weak exogenous and parameter restrictions. It also assumes there is no priory
direction of causality among variables. A good attribute of the VAR model is that it obviates a decision as to what
contemporaneous variables are exogenous with only lagged variables on the right-hand, and all variables are
endogenous.
6.
Empirical Results and Discussions
6.1.
Augmented Dickey Fuller (ADF) Test:
In this study, the Augmented Dickey Fuller (ADF) unit root test was used to test for the time series properties of model
variables.
The null hypothesis is that the variable under investigation has a unit root against the alternative that it does not. The
decision rule is to reject the null hypothesis if the ADF statistic value exceeds the critical value at a chosen level of
significance (in absolute term). These results are presented in table (1) below.
Table (1) Unit Roots Test Result
ADF statistics
Variable
Level
SAV
-0.2217
INV
-0.08543
FDI
-2.1753
GDP
0.1734
Critical values
1%
5%
10%
1%
5%
10%
1%
5%
10%
1%
5%
10%
-4.3341
-3.6652
-3.5562
-4.5783
-3.7745
-3.5762
-4.6784
-3.5866
-3.5891
-4.6822
-3.5921
-3.5993
234
1st difference
- 4.5521
-4.7651
-5.7761
-4.8861
ADF statistics
Critical values
1%
5%
10%
1%
5%
10%
1%
5%
10%
1%
5%
10%
-4.3341
-3.6652
-3.5562
-4.5551
-3.7665
-3.5341
-4.6793
-3.5871
-3.5895
-4.6834
-3.5944
-3.5998
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The results of table (1) above show that all the variables are non-stationary in level form since their ADF values are less
than the critical values at 5%, the null hypothesis of a unit root was accepted for all the variables but was rejected in 1st
difference. Thus, we conclude that the variables under investigation are integrated of order one. Since the variable are
integrated of the same order. And therefore, examine their co-integrating relationship using Johansen co- integration
procedure.
6.2.
Co-integration Test Result
A necessary but insufficient condition for co-integrating test is that each of the variables be integrated of the same order.
The Johansen co-integration test uses two statistics test namely: the trace test and the likelihood Eigen-value test. The
first row in each of the table test the hypotheses of no co-integrating relation, the second row test the hypothesis of one
co-integrating relation and so on, against the alternative of full rank of co-integration. The results are presented in table
2 below. Table 2: Co-integrating Test Result between the Variables: GDP SAV INV FDI
Table (2) Co-integration Test Result
Eigen value
Likelihood Ratio
5% critical value
1% critical value
0.88501
95,236
48.22
53.21
0.50172
27.661
30.69
35.69
0.18831
6.2210
16.44
21.43
0.00573
0.1917
3.760
8.670
Interpretation of co-integrating results from table (2) above, the likelihood statistics indicates the presence of one co
integrating equation at 1% significance level which implies that savings (SAV), investment (INV), FDI and GDP are cointegrated. This shows that there is a long-run relationship between savings, investment, FDI and GDP in Jordan.
Result: the researcher Reject the 1st Null Hypothesis: there is no relationship between GDP, savings, investment and
FDI in Jordan & Accept that there is relationship between GDP, savings, investment and FDI in Jordan
6.3.
Vector Error Correction Model (VECM) Result
Since there is co-integration, the vector error correction model (VECM) is estimated. The results are presented in table
(3) below:
Variable
GDP
SAV
INV
FDI
C
Table 3 Variables included in the VECM: GDP SAV INV FDI
ECM
α’s
1.0000
-(0.568)
8.6541
-(3.778)
11.845
-(22.765)
515401.1
And after Interpretation the VECM result above the researcher can formulates the equation below:
GDP*1 = 515401.1 + 8.6541*SAV +11.845*INV - 22.765 * FDI
From equation above, the VECM result shows that there is a significant positive long-run relationship between savings
(SAV) and gross domestic product (GDP) suggesting that an increase in savings impacts positively on gross domestic
product (GDP) in Jordan. Specifically, one JD increase in domestic savings will lead to about 8.65 JD rise in Jordanian
GDP. This is in line with “a priori” expectation implying that increase in savings will boost capital formation in the
country which in turn will enhance investment and thus increase in national income.
Similarly, domestic investment has positive and significant impact on the Jordanian economy by GDP. This suggests
that an increase in domestic investment will lead to increase in GDP in the country; one JD increase in investment will
increase GDP by 11.84 JD. This is consistent with theory postulates. But FDI has a negative but insignificant impact on
GDP in Jordan. This is inconsistent with economic theory but suggests that activities of foreign investors in the host
country have adverse effect on the economy. This is in line with many studies on FDI on economic growth.
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Result: the researcher Reject the 2nd Null Hypothesis that there is no effect in the long run for the Savings and domestic
investment on the Jordanian Economics, and Accept that there effect in the long run for the Savings and domestic
investment on the Jordanian Economics
7.
Conclusion
The main findings in this study were: Johansen co-integration test result shows evidence of co-integration implying that
there is a long run relationship between GDP and savings, investment and FDI in Jordan. Savings and domestic
investment have long run positive and significant impact on the Jordanian economy while FDI has negative but
insignificant impact on the economy.
The study investigated the causal relationship between savings and investment in Jordan in the growth and development
of Jordan over the years (1980 -2013). The degree of investment in any economy really affect on the extent of saving.
Savings and investments are imperative for development given that they play significant role in bringing about capital
required to increase production process, harnessing and transforming the resources of the country. It is obvious that the
level of saving required to raise enough capital for investment is yet to be achieved due to myriad of bottlenecks, among
which includes improper mobilization of saving by the banking sector, poor banking habits of many Jordanian,
insecurity of lives and property which have for sometime retarded smooth economic operation and consequently low
income generation, which in turns adversely affect capital accumulation. Although, the study shows a significant impact
of saving and investment at the period of study, but more is expected to be achieved if and only if most of the difficulties
in the environment are sufficiently controlled.
8.
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Cyril Ayetuoma Ogbokorm, Oscar Andiya Musilika (2014): Investigating the Relationship between Aggregate
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No.6.
Imoughele, Lawrence Ehikioya. (2014): An Econometric Analysis of the Determinants of Private Domestic
Savings in Nigeria (1981 -2012), International Journal of Humanities and Social Science, Vol. 4 No. 5.
Victor E. Oriavwote, Dickson O. Oyovwi (2013): Modeling Private Investment Behavior in Nigeria: A Co
integration Approach, Accounting and Finance Research Vol. 2, No. 3;
Kalu Ebi Uma, Joseph Chukwudi Odionye, Hyacinth N. Aniagolu, Ezeoke C Obiora (2014):AN
INVESTIGATION OF THE EFFECTS OF INVESTMENT AND SAVINGS IN NIGERIA ECONOMY, 8-10
September 2014- Istanbul, Turkey Proceedings of SOCIOINT14- International Conference on Social Sciences and
Humanities.
Dennis Tao Yang (2012): Aggregate Savings and External Imbalances in China, Journal of Economic
Perspectives—Volume 26, Number 4—fall 2012—Pages 125 146.
Ahmed Salami, Mohammed Sheikhi (2013): Causality Testing and Co-integration between Savings and Investment
in the Algerian Economy during (1970-2011), Journal of researcher, Vol 13, 2013, PP: 121-134.
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(1)
(2)
(3)
(4)
(5)
(6)
(7)
(8)
(9)
(10)
(11)
(12)
(13)
(14)
(15)
(16)
236
Journal of Economics and Sustainable Development
ISSN 2222-1700 (Paper) ISSN 2222-2855 (Online)
Vol.6, No.10, 2015
www.iiste.org
9.
Appendix
9.1. Appendix (A) : Data Collected:
Series Name
GDP
INV
FDI
SAV
Series Code
NY.GDP.MKTP.CD
NE.GDI.TOTL.ZS
BX.KLT.DINV.CD.WD
NY.GDS.TOTL.CD
1980 [YR1980]
3909708819
37.17376374
33830643.46
-302760761.9
1981 [YR1981]
4384247336
46.02747291
140813771.7
-388883676.9
1982 [YR1982]
4680673604
39.44481484
59432045.57
-665830713.9
1983 [YR1983]
4920692191
33.01242584
34864661.93
-616394779.1
1984 [YR1984]
4967162160
29.91045714
77487832.89
-524365026.7
1985 [YR1985]
4993512829
21.05309898
24948927.46
-776268609.4
1986 [YR1986]
6402001909
19.83425003
22754208.38
-345796448.8
1987 [YR1987]
6756417469
22.55015731
39498588.02
-141316082.6
1988 [YR1988]
6277331602
22.66195088
23731746.2
89649257.8
1989 [YR1989]
4221121314
23.23597989
-1349805.313
206334758.2
1990 [YR1990]
4159928734
30.7966779
37646775.31
42329534.5
1991 [YR1991]
4344467193
24.96619337
-11887398.04
107950756.8
1992 [YR1992]
5311188450
33.47604565
40722566.98
122091395.1
1993 [YR1993]
5606237931
36.6270514
-33548530.15
381852682.5
1994 [YR1994]
6237650243
33.29273195
2854731.793
666572645.1
1995 [YR1995]
6727446669
32.96359758
13308089.21
795376708.3
1996 [YR1996]
6928359295
30.52395958
15514809.59
362059292.7
1997 [YR1997]
7244402975
25.73262284
360930888.6
250775854.2
1998 [YR1998]
7910621093
21.82350989
310014104.4
184767496.3
1999 [YR1999]
8147494329
21.57475343
157968970.4
301525204.5
2000 [YR2000]
8457923945
22.36867598
913258110
-367415597.6
2001 [YR2001]
8972965061
21.06246465
273628171.3
-357917034.1
2002 [YR2002]
9580161951
20.10067827
238222874.7
84195770.12
2003 [YR2003]
10193023726
20.845483
546967559.9
-14762060.61
2004 [YR2004]
11407566660
27.39390467
936812411.8
-330044863.9
2005 [YR2005]
12588665456
34.14914173
1984485190
-925479418.8
2006 [YR2006]
15056937136
28.34000584
3544005642
-852045144.3
2007 [YR2007]
17110609939
30.26767933
2622144779
-1241607913
2008 [YR2008]
21971835283
29.89467699
2826744496
-244046780.3
2009 [YR2009]
23818322958
26.30180092
2413098592
738450704.2
2010 [YR2010]
26425379437
24.02105394
1650845070
850753239.4
2011 [YR2011]
28840263380
25.45404417
1473521127
-216310563.4
2012 [YR2012]
31015239545
26.89721995
1497323944
-347634400
2013 [YR2013]
33678500148
28.03447387
1798450704
-270004475.6
237
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