Trade balance, exchange rate movements and economic growth in Nigeria: a disaggregated approach

The increase in the balance of trade and the change in the exchange rate on the economic growth in Nigeria. Designated determinant of the exchange rate for the period from 1981 to 2020. Stimulation of domestic production to boost non-oil exports.

Рубрика Международные отношения и мировая экономика
Вид статья
Язык английский
Дата добавления 15.09.2022
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Changes in exchange rate is noted to wield a negative and significant effect on RGDP at the 1% level of significance. It follows that a unit percent increase in exchange rate reduced RGDP by 0.0758% on the average. Also, oil trade balance exerts a negative and significant effect on RGDP at the 1% level of significance. Thus, a unit percent increase in OTBL leads to a 0.0113% decrease in RGDP on the average. This result does not go in accordance with the fact that trade promotes growth. This could be linked to the vagaries inherent in the international oil market and the current Covid-19 pandemic that has undermined the potency of oil trade in fostering productivity in an economy.

Table 7

ARDL error correction model for Model II

Variable

Coefficient

Standard Error t-Statistic

Probability

D (RGDP (-1))

-0.2200

0.0985

-2.2334

0.0355

D (GFCF)

-0.2227

0.0842

-2.6448

0.0145

D (INT)

0.5245

0.1123

4.6716

0.0001

D (INT(-1))

0.6086

0.1103

5.5197

0.0000

D (ECHR)

-0.0758

0.0187

-4.0559

0.0005

D (OTBL)

-0.0113

0.0035

-3.2505

0.0035

CointEq (-1)*

-0.5166

0.0910

-5.6772

0.0000

R-squared Adjusted R-squared

0.8081

0.7697

S.E. of regression 2.2718

Durbin-Watson stat 2.4556

Source: Researchers Computation (2022)

The error correction mechanism indicates that 51.66% of the short-run distortions in the model is corrected per year for the restoration of equilibrium in the long-run. The coefficient is negative and statistically significant as required. The r-squared reflects that taking only oil revenue into consideration, along with other explanatory variables, the model explains 80.80% of the total variations in RGDP.

Model III: Influence of exchange rate with non-oil trade balance economic growth

For Model III where the result is reflected in Table 8, changes in GFCF exerts a positive though an insignificant effect on RGDP. Its one-period lag exerts a negative but insignificant effect. However, its two-period lags and three-period lags wielded a negative and significant effect on RGDP at the confidence level of 5%. Thus, the two-period lags of GFCF decreased RGDP by 0.3515% while its three-period lags decreased RGDP by 0.4940% on the average.

Changes in labour force exerted a negative but insignificant effect on RGDP. Such negative effect could be linked to high rate of unemployment and underemployment of labour within the Nigerian economy. Also, its one-period lag to three-period lags wielded a negative but insignificant effect on RGDP. Changes in interest rate along with its lags exerted positive and significant effect on RGDP. A unit percent increase in INT increases RGDP by 0.5465% on the average. Its one-period lag increased RGDP by 1.2525% while its three-period lags increased growth by 0.9568% on the average.

Changes in GOVT is also noted to exhibit a negative and significant effect on RGDP while its lag values wielded a positive and significant effect. A unit percent increase in GOVT reduced RGDP by 2.9127% on the average. Its one-period lag and three-period lags increased RGDP by 0.4854% and 1.3391% on the average respectively.

Changes in ECHR and its two-period lags is observed to wield a positive but insignificant effect when the non-oil trade balance is inserted into the model. Meanwhile, the one-period lag and three-period lags of exchange rate yielded a negative and significant effect on RGDP. In that regards, the one-period lag and three-period lags of ECHR reduced RGDP by 0.1630% and 0.2132% respectively. It is also observed that changes in non-oil trade balance and its one-period to three period lags exerted a negative and significant short-run effect on RGDP at the 5% level of significance. A unit percent increase in NTBL wields a 0.0239% decrease in RGDP. Also, the one period lag, two-period lags, and three-period lags of NTBL reduces RGDP by 0.0754%, 0.0433% and 0.0350% respectively. This negative and significant effect is not surprising coupled with the fact that the non-oil trade balance has remained on the negative throughout the study period, implying an unfavorable balance of trade.

Table 8

ARDL error correction model for Model III

Variable

Coefficient

Standard Error

t-Statistic

Probability

D (GFCF)

0.3872

0.1852

2.0909

0.1277

D (GFCF(-1))

-0.1334

0.1026

-1.3008

0.2842

D (GFCF(-2))

-0.3515

0.0790

-4.4500

0.0211

D (GFCF(-3))

-0.4940

0.1075

-4.5955

0.0194

D (LBR)

-1.3156

4.9629

-0.2651

0.8081

D (LBR(-1))

-16.9487

8.5557

-1.9810

0.1419

D (LBR(-2))

-13.2328

9.4164

-1.4053

0.2546

D (LBR(-3))

23.9504

7.6909

3.1141

0.0527

D (INT)

0.5465

0.0959

5.7010

0.0107

D (INT(-1))

1.2525

0.1408

8.8942

0.0030

D (INT(-2))

0.4830

0.1550

3.1162

0.0526

D (INT(-3))

0.9568

0.1535

6.2353

0.0083

D (GOVT)

-2.9127

0.3703

-7.8668

0.0043

D (GOVT(-1))

0.4854

0.2218

2.1885

0.1164

D (GOVT(-2))

0.6032

0.2167

2.7843

0.0687

D (GOVT(-3))

1.3391

0.2405

5.5690

0.0114

D (ECHR)

0.0074

0.0193

0.3819

0.7280

D (ECHR(-1))

-0.1630

0.0250

-6.5132

0.0074

D(ECHR(-2))

0.0418

0.0254

1.6444

0.1986

D(ECHR(-3))

-0.2132

0.0313

-6.8119

0.0065

D(NTBL)

-0.0239

0.0061

-3.8879

0.0302

D(NTBL(-1))

-0.0754

0.0111

-6.7628

0.0066

D(NTBL(-2))

-0.0433

0.0081

-5.3748

0.0126

D(NTBL(-3))

-0.0350

0.0067

-5.1971

0.0138

CointEq(-1)*

-1.1271

0.1312

-8.5902

0.0033

R-squared

0.9747

S.E. of regression

1.2943

Adjusted R-squared

0.9139

Durbin-Watson stat.

2.3316

Source: Researcher's Computation (2022)

The error correction term (-1.1271) indicates that 112.71% of the short-run distortions in the model is corrected annually for equilibrium to be restored. The implication here is that it takes less than a year for the model to be fully restored to equilibrium level. The r-squared reflects that 97.47% of the total variation in RGDP is explained by variations in non-oil trade balance plus other variables captured in the model.

Model IV: Determinants of Exchange Rate Movements in Nigeria

In Model IV, we estimate the economic determinants of exchange rate movements in Nigeria. Table 9 captures the result of our findings.

Consistent with Table 9, changes in RGDP, ERES and INF are observed to have a negative and significant short-run effect on exchange rate movement in Nigeria at the 1%, 1% and 5% level of significance level. a unit percent increase in these three variables decreases exchange rate by 3.6956%, 0.1898%, and 0.5048% respectively. This is an indication that increased productivity within the domestic economy will help to cut down heavy importation and promote exports. This will encourage foreign exchange inflow, leading to the appreciation in the value of the domestic currency. Also, the available of sufficient external reserves will support the needed foreign exchange needs of the domestic economy, and this will reduce the high demand for forex in the forex market. This will act as a check on the value of the dollar currency relative to the naira. Meanwhile, the one-period lag and two period lags of INF exerts a positive and significant effect on ECHR movements in Nigeria as they increase ECHR by 0.6023% and 0.5269% respectively. This implies that previous years' inflation has been detrimental to value of the domestic currency vis-a-vis the dollar.

Table 9

ARDL error correction model for Model IV

Variable

Coefficient

Standard Error

t-Statistic

Probability

D (RGDP)

-3.6956

0.623584

-5.92641

0.0000

D (ERES)

-0.1898

0.038831

-4.88945

0.0001

D (INF)

-0.5048

0.183737

-2.74784

0.0117

D (INF(-1))

0.6023

0.160964

3.742252

0.0011

D (INF(-2))

0.5269

0.195536

2.694899

0.0132

D (TTBL)

-0.0020

0.007848

-0.25686

0.7997

D (TTBL(-1))

-0.0364

0.011125

-3.2754

0.0035

CointEq (-1)*

-0.0305

0.003815

-7.99915

0.0000

R-squared

0.64276

Durbin-Watson stat

1.335048

Adjusted R-squared

0.553449

S.E. of regression

12.97006

Source: Researchers' Computation (2022)

Changes in total trade balance exerts a negative but insignificant effect on ECHR movements while its one-period lag wielded a negative and significant effect. Thus, the previous year's TTBL reduced exchange rate by 0.0364% on the average. This is an indication that stimulating trade (especially exports) will help to ensure the appreciation of the naira over time. The coefficient of the ECM (-0.0305) which is negative and statistically significant at the 1% significance level meets the requirement for the adjustment ability of the model. Thus, 3.05% of the short-run distortions in the model is corrected annually for equilibrium to be restored. However, the speed of adjustment is very slow, implying that it will take approximately thirty-three years for equilibrium to be fully restored. The r-squared of 0.64276 implies that 64.28 of the total variations in exchange rate movements in Nigeria is explained by variations in economic growth rate, external reserves, inflation, and total trade balance (current account balance).

Long-Run Estimate

The long-run result is presented for only the models that cointegration exist. Based on the Bounds test, cointegration existed for Model 1 and Model IV.

For Model I where we capture the influence of exchange rate and total trade balance on economic growth, Table 10 reflects the long-run result. From the result, GFCF still exerts a negative effect on RGDP though such effect is not significant. Labour force exerts a positive and significant effect on RGDP. Meaning that as LBR increases by 1%, RGDP increases by 7.5419% on the average. This points out the importance of human capital accumulation on the growth process of an economy.

Table 10

Long-run result for Model I

Variable

Coefficient

Standard Error

t-Statistic

Probability

GFCF

-0.0774

0.1169

-0.6620

0.5174

LBR

7.5419

2.3717

3.1799

0.0058

INT

0.6097

0.3304

1.8451

0.0836

GOVT

-1.2885

0.7908

-1.6294

0.1228

ECHR

-0.0157

0.0256

-0.6148

0.5473

TTBL

0.0213

0.0063

3.3551

0.0040

C

-393.4639

124.1848

-3.1684

0.0060

Source: Researchers' Computation (2022)

Interest rate exerts a positive but insignificant effect on RGDP while the effect of GOVT is negative and insignificant. Similarly, ECHR wielded a negative but insignificant effect on RGDP. Conversely, total trade balance (TTBL) exerts a positive and significant long-run influence on RGPD at the 5% level of significance. A unit percent increase in TTBL generates a 0.0213% increase in RGDP. The constant term implies that holding all the variables in the model constant, the economy will experience a negative growth rate of -39.4639% in the long-run.

Table 11

Long-run result for Model IV

Variable

Coefficient

Standard Error

t-Statistic

Probability

RGDP

0.6100

4.2773

0.1426

0.8875

INT

0.5651

4.9792

0.1135

0.9103

ERES

-0.3562

0.2720

-1.3097

0.1993

INF

-2.3671

1.1507

-2.0572

0.0476

TTBL

0.0613

0.0622

0.9851

0.3317

C

140.6791

74.9210

1.8777

0.0693

Source: Researchers' Computation (2022)

In Table 11, the long-run result of Model IV is presented to reflects on the determinants of exchange rate movements in Nigeria. it is observed that RGDP, TTBL and INT exerted a positive but insignificant long-run influence on ECHR movement in Nigeria. Meanwhile, ERES external reserves exerted a negative but insignificant effect while INF exerted a negative and significant effect. Thus, a unit percent increase in INF reduces ECHR by 2.3671% on the average. It has been argued that inflation is a key economic variable that influences both the domestic economy and hitherto exerts a significant influence on the external sector through the exchange rate. Such effect can be traced through the purchasing power parity. The currency having a higher degree of inflation depreciates while the one with low rate of inflation appreciates. But such depreciation will make exports cheaper and imports dearer, leading to more exports and a resulting accumulation of forex which will hitherto lead to an appreciation of the domestic currency in the long-run.

Major Findings and Discussion

From the analysis, the major findings of the study are as highlighted as follows:

- Total trade balance has a positive and significant effect on economic growth both in the short-run and in the long-term. This means that a favourable trade balance is desired to drive up economic growth in Nigeria.

- Oil trade balance and non-oil trade balance has a negative and significant effect on economic growth. This is an indication that depending on a mono-product export will not drive economic growth to the desired level. Rather, diversifying our export base is key for longterm growth.

- Exchange rate exerts a negative and significant effect on economic growth. This means that the continuous depreciation of our domestic currency relative to the US dollar do not support the Nigeria's strive for growth, pointing out the need for exchange rate stability.

- The short-run exchange rate movements in Nigeria has been driven by economic growth, external reserves, inflation, and lags in current account balance (total trade balance). But in the long-run, the determining factor of exchange rate movement is the rate of inflation. Consistent with this, stimulating domestic production, managing a substantial external reserve, ensuring price stability, and maintaining a favorable current account balance are the yardstick to which the naira exchange rate to the dollar could be stable and at a favorable rate.

Conclusion and Recommendation

It is the desire of any nation to achieve economic growth and a favorable balance of payments as captured in the core macroeconomic objectives. Nigeria, over the years has been facing economic changes which has resulted to different degrees of growth rate and exchange rates. The trade situation has often been more of oil exports and less of non-oil exports. This has led to increasing unfavorable trade balance in the non-oil sector, with some years of positive trade balance within the oil sector. In that regards, this study examined the influence of trade balance and exchange rate movements in Nigeria from 1981 to 2020. We utilized the ARDL approach to ascertain both the short-run and long-run effect of trade balance and exchange rate on growth; as well as the determinants of exchange rate movements in Nigeria. We disaggregated our model on trade balance into three - total trade balance, oil trade balance, and non-oil trade balance - to detect which of them has any influence on growth.

From our analysis, the unit root test conducted based on the ADF and PP approaches revealed that our variables were integrated in mixed order of levels and first difference. consequently, we used the Bounds test for levels relationship to ascertain whether cointegration exist. From the Bounds test, two out of our four models (Model I and Model IV) reflects the existence of cointegration. Thus, we estimate both the short-run and long-run estimates for Model I (capturing the effect of total trade balance and exchange rate on economic growth) and Model IV (capturing the determinants of exchange rate movements in Nigeria). In Model I, we observed that exchange rate has a negative and significant short-run effect on economic growth while total trade balance has a positive and significant effect. But in the long-run, exchange rate has a negative but insignificant effect while total trade balance still wielded a positive and significant effect on economic growth. The r-squared showcased that the explanatory variables only explains 90.36% of the total variations in RGDP. This represents a good fit of the regression line.

In Model II, both exchange rate and oil trade balance exerted a negative and significant effect on economic growth, showing their deleterious effect on growth over the years. the r-squared showed that the explanatory variables explains 80.81% of the total variation in RGDP. This is quite a good fit of the regression line. Model III reflects the fact that exchange rate and its lags yielded a negative and significant effect on growth. Similarly, non-oil trade balance and its lags also exerted a negative and significant short-run effect on growth. the r-squared indicated that the explanatory variables accounts for 97.47% of the total variations in economic growth. This is also a good fit. In Model IV, the short-run determinants of exchange rate movements in Nigeria include economic growth, external reserves, inflation, and total trade balance as they exerted significant influence on growth. But in the long-run, the only variable that drives exchange rate movement is the rate of inflation in the domestic economy.

Consequent upon the findings of this study, the following recommendations are given:

- There is need to drive the economy to export more. This can be achieved through massive diversification of the economy into solid minerals and agriculture with greater value chain. In this way, Nigeria will be able to diversify her export base to drive home massive foreign exchange. This because, as statistics indicates as at 2018, 94% of export products are crude petroleum, 2% floating structures for breaking up and 2% natural gas (Trade Update Data, 2019). More international ties should be strengthened among other West African countries as it is indeed a fact that Nigeria's export to other African countries outside ECOWAS is 55% (Trade Update Data, 2019).

- To ensure exchange rate stability, domestic production should be accelerated to deepen exportation and curtail excessive importation of goods that could be produced locally. The import substitution industrialization strategy should further be strengthened. Further, there is need to curtail excessive depletion of the external reserves as it has a significant role to play in times of emergency needs for foreign exchange. Finally, inflation should be checked to ensure price stability by utilizing a mix of monetary and fiscal policy measures.

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