Kelechi
Johnmary Ani
Alex
Ekwueme Federal University, Nigeria
E-mail: kelechi.ani@funai.edu.ng
Submission: 9/29/2020
Revision: 10/13/2020
Accept: 10/22/2020
ABSTRACT
The contemporary world is such that nations cannot do without one another. This is because some nations are connected by historical, cultural, social, economic, scientific and other forms of strategic interests. Nigeria and Chad over the years have a history of inter-state relations that pre-dates the coming of colonial masters. However, at the end of colonial rule, both states engaged in multi-dimensional forms of bilateral relations. This study, which adopts mixed method of research focuses on Nigeria-Chad economic relations. It reveals the forms of trade agreement between both states. The study highlights formal and informal nature of the trade amongst the two states and found that their history of diplomatic relations has promoted the national interest as well as the management of strategic over-lapping trade demands in both countries. This study used regression analysis and applied unit root, co-integration, chow test, stability test as well as Phillips-Perron (PP) and Augmented Dickey-Fuller (ADF) to find-out that there is strong positive significant relationship between Nigeria-Chad trade and economic diplomacy within the period of 1970-2018 as well as reasonable stability in Nigerian trade and security relations with Chad in the presence of Boko Haram menace. The study recommends increased bilateral trade, border security as well as intelligence sharing on the dynamics of security threats to the relations of both states.
Keywords: Diplomacy; bilateral relations; trade; resource endowment; Nigeria & Chad
1.
INTRODUCTION
Nigeria and Chad have a historical foundation that strongly connects both sovereign countries. This historical relation emanates from the fact that there exist ethno-linguistic groups that cuts across both countries. They include the Kanembu, Shuwa Arab, Kanuri, Fulani, Manga, Koyam, Beriberi, Tazarawa, Adarawa and Matakam people.
These ethno-linguistic groups historically related with each other in the area of marriage, traditional governance (under the Kanem Bornu Empire) as well as engaged in inter-group trade across the Lake Chad, while also engaging in unrestricted forms of migration within these historically independent pre-colonial nations.
By the time the colonial masters (Britain for Nigeria and France for Chad) landed the shores of West Africa in their popular race for the scramble for Africa; they forcefully divided the people that made- up the area across their imperial colonial government. Britain and France used gunboat diplomacy as well as treaties to outsmart the traditional kings of these African communities. Soon, the local people became separated by international border treaties that were signed by Britain and France without the consent or knowledge of the indigenous people.
Unfortunately, while Britain and France have carved the sovereign borders of what we know today as Nigeria and Chad, the local ethnic people continued to perceive their kits and kiln in both side of the sovereign political divide as one. They freely perceived, visited and met their brothers in both sides of the divide as their own without much regards for the sovereign borders.
Furthermore, because the government of the Federal Republic of Nigeria and the Republic of Chad as members of World Trade Organization; their desire to promote trade relations amongst the two countries was essential in their bilateral relations, which led to the signing of the first trade agreement in 1971.
During the 2nd Nigeria-Chad Joint Commission in 1996, the Nigerian delegation drew attention of the meeting to the 1971 Trade Agreement between the two countries which had become obsolete (Nigerian Ministry of Foreign Affairs, 1996). It therefore called for a re-negotiation of the agreement. The Chadian side too agreed to the need for the re-negotiation of the agreement.
Consequently,
the Nigerian diplomatic side gave their Chadian counterparts the draft of a new
agreement which laid the foundation for the revised trade agreement. The trade
agreement received diplomatic attention in the fourth Nigeria-Chad Joint
Commission meeting in 2008 and a new agreement was ‘born’ and was signed on 9th
December, 2009.
Article 1 of it stated that the Contracting Parties shall make every effort to increase the volume of trade between the two countries in accordance with their respective domestic laws and subject to obligations under international treaties, conventions or agreements, to which they are part of and shall endeavour to achieve a balance of trade between themselves. This study evaluates this agreement in relations to the trade and security relations that both countries have experienced in the period under study.
The objectives of the study include to:
· Evaluate the significant relationship of Nigeria-Chad trade and diplomacy within the period of 1970-2018.
· Examine the stability of Nigeria-Chad economic relations and diplomacy with the presence of Boko Haram security threat.
·
Ascertain the presence
of structural changes and breaks in Nigeria-Chad trade relations and
diplomacy within the period of 1970-2018.
1.1.
Hypotheses
· Ho: Nigeria-Chad trade and diplomacy have no significant relationship within the period of 1970-2018.
· Ho: There is no significant Causality Trade relationship between both countries within this study period of 1970-2018.
· Ho: Nigeria-Chad trade economic relations and diplomacy is not significantly stable with the presence of Boko Haram security threat.
· Ho: There is no presence of structural changes and breaks in Nigeria-Chad trade relations and diplomacy within the period of 1970-2018.
1.2.
Theoretical Framework
This study is centred on the theory of over-lapping demand. Linder (1961) came up with the theory and argued that over lapping demand drives trade amongst nations that have overlapping demand that will promote per-capital income. Linder (1961) maintains that countries with similar per capital income often consume similar quality products which naturally encourage trade amongst them.
To produce and trade, representative demand in the respective countries needs to have an overlapping zone in terms of the range of goods that are produced and consumed in common (Sen, 2010). The theory explains trade among South- South states (Linder, 1961; McCandles & Wallace, 1991; Sen, 2005).
Relating the theory to this study; Nigeria and Chad has many over-lapping trade demands. They include oil, millet, maize, livestock etc. These products are in high demands within both countries. The Boko Haram security threat has become an overlapping international security threat that is seriously undermining the Nigerian, Chadian, Cameroonian and Nigerien States.
2.
LITERATURE REVIEW ON NIGERIA-CHAD
JOINT AGREEMENT AND ECONOMIC DIPLOMACY
As earlier stated, Nigeria and Chad signed a Trade Agreement in 1971 but it was not successfully implemented due to the monetary and fiscal policy challenges in both countries. The collapse of the Nigerian economy in the 1980s weakened Nigerian Chad relations. Hence, Nigerian began to look inward on how to strengthen her economy in order to be able to shoulder the responsibilities and challenges of “big brother” role in her bilateral and multilateral relations.
Writing the forward of the book, Nigeria’s Economic Diplomacy: The Ike Nwachukwu Years, 1988-1992, Ibrahim Badamosi Babangida, a former Nigerian President stated that “the successful accomplishment of a policy that is geared towards the actualization of Nigeria’s resources available to the country and which the country can then commit to its foreign policy pursuits in the continent is vital; besides the elevation of this important issues to the top of our foreign policy agenda, given the imperatives of the emerging new world order has become compelling and inevitable” (Chibundu, 2004; Ojo, 1976).
Unfortunately, the implementation of the options for Nigerian-Chad trade agreement in the eighties was difficult. Chad was trying to institutionalised post conflict peacebuilding after the 1965-1979 Civil War. The peace initiative could not survive and the country degenerated into the 1979-1986n Civil War as well as the Chad-Libyan War and the 2005-2010 Chadian Civil War. There was also the rise of Machiavellian politics and diplomacy amongst both states at that time (Ani & Ojakorotu, 2018).
Akindele and Ate maintained that there was high degree of criticism meted-out on the procedures of implementing the Nigerian-African policy (Akindele & Ate, 1986). In a newsprint publication titled, Sobering Reality: The Intricacies of Evolving Foreign Policy, it was documented that Nigerian foreign policy had been the subject of a great deal of criticism in recent times.
Hence, castigated for its lack of orientation and effectiveness. Thus, the idea that Nigeria had no defined economic interest in her foreign policy with Chad continued till the beginning of the twenty first century when the government of the Federal Republic of Nigeria and the government of the Republic of Chad introduced the Nigerian-Chad Joint Commission.
A new turn in the economic diplomacy of both countries came with the introduction of Nigeria-Chad Joint Commission. At the inaugural meeting held in Ndjamena in 1987, a new pattern of economic diplomacy was introduced in the Nigeria-Chad bilateral relations. The Chadians requested for an “exclusive zone” with a bounded warehouse in the Nigerian ports.
The brief of the first Nigeria-Chad Joint Commission recorded Chad’s request for assistant from Nigeria in her house reconstruction programme. One would recall that many public and private materials as well as immaterial structures in Ndjamena were destroyed during the Chadian Civil War. Thus, during the visit of President Babangida to Ndjamena in 1988, Nigeria donated bitumen, drugs, petroleum products, cereals, vegetable oil and vehicles to Chad (Nigerian Ministry of Foreign Affairs, 1987).
Equally, the first Nigeria-Chad Joint Commission Protocol documented that Nigeria offered free resident permits to ECOWAS member states and other neighbouring countries like Chad, who were not to pay in order to obtain necessary immigration document from the Nigerian Immigration Services before coming into Nigeria.
When “Chad imposed a fee of 10,000 CFA for entry visas and 11,000 CFA for residential permit valid for three years, to Nigerians. Nigeria requested that Chad should waive the fees on the basis of reciprocity (Nigerian Ministry of Foreign Affairs, 1987)”. The Nigerian request was later granted.
One of the researcher in an interview with Chouadeung Victor, the Consul General of Chad, discovered that as at 2007, Chadians were still arrested by the Nigerian Immigration Officers, while trying to enter Nigeria, till late President Umaru Musa Yar’Adua ordered the effective implementation of the agreement by the Nigerian side in 2008 (Chouadeung, 2009).
In 2009, the Chadian side reported that it had received correspondence from the Nigerian side on the reciprocal waiver of Residential Permit payment for Chadian nationals living in Nigeria, and expressed appreciation to the Nigerian authorities for the gesture. The Nigerian Government revealed that the decision had been communicated to all Immigration State Commands in the country for implementation (Nigerian Ministry of Foreign Affairs, 2009).
The Second Nigeria-Chad Joint Commission meeting took place from 22nd to 24th October 1996 in Abuja. During the session, the two countries laid down a mechanism that would strengthen financial exchanges among both countries. The mechanism would regulate financial exchanges between Nigeria and Chad. This was followed by the request from the Chadian Government for concessions on transactions in the Lagos Ports.
This they believe would make Nigerian ports more attractive to Chadian businessmen than the Duala Ports in Cameroun. It would be recalled that Chadian importers have over the years, raised concerns on the restriction of their use of Calabar Port, for the transit of its goods and merchandise. This was reported to the Nigerian Government officially in 2009 but the Nigerian side denied historic knowledge of it, hence, requested that the Chadian Party should present its requests, specifying the areas of assistance and support for its consideration (Nigerian Ministry of Foreign Affairs, 2009). In the course of the Second Joint Commission meeting, the Chadian side reiterated their reliance on Nigeria for 90% of its petroleum requirements. They listed their quarterly need of petroleum products as follows:
· Super petrol - 10,000 cubic meters
· Gas oil (diesel)- 30,000 cubic meters
· Aviation fuel - 10,000 cubic meters
· Kerosene - 2,000 cubic meters (Nigerian Ministry of Foreign Affairs, 1996)
Nigeria promised to channel the Chadian request to the appropriate “quarters” where it would be taken care of. During the 2nd Nigeria-Chad Joint Commission also, the Nigerian delegation proposed the establishment of direct satellite link across the two countries. “In this connection, there was exchange of information between the two delegations on the configuration of their earth stations as well as the different positions of the satellite stations they use” (Nigerian Ministry of Foreign Affairs, 1996).
Furthermore, during the Third Nigerian-Chad Joint Commission meeting held from February 28th to March 2nd 2000 in Ndjamena, the two countries expressed their wish to collaborate in industrial cooperation. Before this time, Nigeria has signed a number of agreements with Chad that had some economic implication. In the fourth Nigerian-Chad Joint Commission meeting held in Abuja in 2008; “the Tchadians agreed to enter into co-operation in the area of Technical Aid Corps (TAC) Programme (with Nigeria) and take advantage of its services” (Nigerian Ministry of Foreign Affairs, 2008).
“The Tchadian party expressed satisfaction in the establishment of its Consulate-General in Maiduguri. Relating to this, Nigeria expressed the desire to establish its own Consulate-General in the Tchadian territory as a measure of reciprocity” (Nigerian Ministry of Foreign Affairs, 2008).
Ogwu
and Olukoshi (1991) have argued extensively on the importance of economic
diplomacy in Nigerian foreign relations. However, the
economic diplomacy between Nigeria and Chad is on a process of continuous growth.
In order to re-energize their economic diplomacy, a new Trade Agreement between the Government of the Federal Republic of
Nigeria and the Government of the Republic of Chad was signed on 9th
December 2009 in Maiduguri to replace
the initial one signed in 1971.
3.
NATURE OF INFORMAL TRADE IN NIGERIA-CHAD
ECONOMIC DIPLOMACY
Economic relations in international relations are not always based on formal trade and documented comparative cost advantage. It is often influenced by the activities of informal merchants. Informal trade is an unofficial cross-border trade amongst sovereign territories. The informal cross-border trade between Nigeria and Chad has been going on since independence era. The commercial activities of informal merchants have become a continuous feature in the Lake Chad region.
Egg and Igue (1993) have stated that the major reason why the informal operations of the cross-border trade takes place is because, the Nigerian government does not take into consideration the French zone economic policies while designing her own policies. To the lay man, informal trade simply connotes smuggling or illegal parallel trans-border marketing. The informal trade in the Nigeria-Chad economic relations has remained endemic because of many factors.
They include the unequal endowment in resources between Nigeria and Chad, the historic trade network between the homogenous societies in the two countries, the changing climatic factors, political policy (instability), changes in world price of goods, the easy access to Naira and CFA Franc in the two countries as well as the cash and carry nature of informal trade (Nyong, 1997). There are a number of agricultural and food items that are sold in the informal market of Nigeria and Chad.
Table 1: Food Items in the Cross-Border Trade between Nigeria and her Neighbours
Serial Number |
Agricultural/ Food |
Manufactured Food Item |
1 |
Millet |
Tinned fish |
2 |
Maize |
Tinned beef |
3 |
Sorghum |
Maize grit |
4 |
Yams |
Wheat flour |
5 |
Onions |
Cooking oil |
6 |
Fish |
Macaroni |
7 |
Livestock |
Tinned Tomatoes |
8 |
Rice |
Garri |
9 |
Beans |
|
10 |
Coconut |
|
11 |
Kolanut |
|
12 |
Fresh Tomatoes |
|
Source: Balami (2006), Balami (1995),
Balami (2002) and Balami (2003)
During the 2nd Nigerian-Chad Joint Commission meeting, both delegations recognized the importance of trade between Nigeria and Chad but regretted that trade between the two countries is largely unrecorded. The informal trade between Nigeria and Chad is not only carried-out by Nigerians but also Chadians. Balami wrote that “the percentage can be put at 80% as Nigerians and 20% of the actors are non-Nigerians” (Balami, 2000; 2001).
Table 1 shows the agricultural/ food items produced in some countries that are found around Nigerian sovereign borders. Balami (2002) pointed out that millet, maize and sorghum are amongst the goods traded in Nigeria-Chad informal market. He showed that the higher prices of goods in the informal market attracts the flow of the goods at a higher price that sometimes in 1997, the massive outflow of the food items through the border markets “caused scarcity in border states of Nigeria like Borno”.
“The advantage of cross-border trade in cereal is that in countries like Nigeria; where population figures are contested and actual output is not known, the cereal trade helps in filling the hunger gap that exists in Niger, and Tchad border regions with Nigeria as well as border markets of Nigeria” (Balami, 2006, p.15). There was more than 70% increase in the level of activities in the livestock markets between 1997 and 2003 in Nigeria, Chad and Niger (Balami, 2003).
Trade relations between Nigeria and Chad are largely “unrecorded” (Obimah, 2009). The situation was blamed on smugglers (Eigbire, 2008). This was equally reiterated by Ambassador Bagudu M. Hirse, former Minister of State II, for Foreign Affairs, Nigeria. “He emphasized that both countries shared common historical and cultural ties, while informal trade between our citizens had continued to increase in recent times. He observed that commercial activities between the countries had remained unorganized, and reiterated the need to formalize trade and economic activities to enhance economic growth and development in both countries” (Nigerian Ministry of Foreign Affairs, 2009).
In order to combat the problem, the Nigerian government proposed the setting up of border markets between Nigeria and Chad, similar to what already exist between Nigeria and Niger Republic. The Chadian side stated that they have initiated move in that direction with the Borno State Government in 1994. The two countries went further and agreed to participate in each other’s trade fairs, while the exchange of trade missions would be promoted.
The international trade between Nigeria and Chad has been bedevilled by the nefarious activities of smugglers for years. The main aims of the smugglers are to avoid taxes, custom duty and evade the fiscal policies of the different governments in Nigeria and Chad. Nigerian-Chad Joint Commission has equally shown that smugglers are major threat to the growth of formal trade between the two countries (Nigerian Ministry of Foreign Affairs, 1996).
Attah (2008) stated that smuggling between Nigeria and Chad is promoted by the trader’s quest for profitability, proximity of boarder line, and the quest for ostentatious goods. Chadians often look down on goods from their country, while preferring foreign made goods from the porous Nigerian boarders. Despite all measures taken to stamp out the criminal activities of smugglers, the porous borders between Nigeria and Chad tend to undermine genuine efforts by government officials to achieve the goal. Chadian cattle, hides, skin and cotton are smuggled into Nigeria.
Yakubu Muktar revealed that Ari Musami also known as Ari Ci Shingowa, an illustrious Borno trader brought dyed cloths of “Hausa manufacture, which were sold in both Borno and the Eastern cattle markets of Chad and Cameroun” (Muktar, 2000). He went further to show that Tijjani Gado Bama engaged in cattle trade in Nigerian, Chad and Cameroonian markets of Bamaa, Ladin Bulongu, Attia, Abesher and Marua (Muktar, 2000).
Works (1976) while explaining the trade dynamics of the informal Hausa merchants in Chad stated that fundamentally, a non-contractual relationship involving the exchange of allegiance for some form of aid, clientele could assume various shapes and was never immutable. Some of the prosperous merchants were actually clients of men in Nigeria, yet each of them had his own followers ranging from mallamai and peddlers to servants and beggars.
Some clients were business associates who bought supplies from their patron either for market trading or for peddling; others obtained goods on commission, receiving one quarter to one third profits. Still others were messengers between Hausa settlements who provided their landlords with important market information. Rivalry and risk came into play, for prestige weighed as heavily as wealth among the informal merchants in Nigeria-Chad border. Clients often switched patrons, or a peddler would occasionally abscond with the goods and profits of his patron (Works, 1976).
Table 2: Evolution of Cost of Cattle Marketing from Production Centre (Dourbali in Tchad) to Consumption Centre (Lagos in Nigeria)
Types of cost |
Monthly cost per cattle in (FCFA) |
||||
|
June |
July |
August |
September |
October |
Official Cost |
3.647 |
3.659 |
3.718 |
3.587 |
3.617 |
Unofficial cost |
24.841 |
18.331 |
22.015 |
20.991 |
29.172 |
Total |
28.488 |
21.990 |
25.733 |
24.578 |
32.790 |
Percentage of
unofficial over total cost |
87 |
83 |
85 |
85 |
87 |
Source: Balami (2006) and Balami (2003)
Table 2 shows the evolution of cost of transporting cattle from Tchad to Lagos in Nigeria for the months of June to October, 2002. The costs were divided into official and unofficial. The official costs include cost of transportation and tax paid to government agencies, while the unofficial costs include costs of bribes, commission and illegal toll/fees paid by the cattle traders to government officials. The unofficial cost is more than 80 percent of the total cost and it varies from time to time depending on the level of control on the route. This has implication on the ratio of formal and informal costs and their profit margin, which leads to the introduction of centralized corruption and acquittal system of fraud by the merchants (Balami, 2006).
These cattle traders and their dillalai (middle men) form associations to protect and promote their common interests. Balami maintained that the economic force of price in the informal cattle trade pushes actors in the trade to engage in “sourcing of cattle up to the Salamat region in Sudan and the southern collect markets of Tchad as highlighted at Mubi and Maiduguri during the in-depth interview’s follow-up in October, 2002” (Balami, 2006). Kadiri (2009) revealed that many livestock farmers in Borno and Yobe states goes to Chad to buy their young ones at a very cheap price, then comes home to rear them in Nigeria before going to sell them. The cattle market in Chad is regularly patronised by merchants from Borno and Kano state, Nigeria (Muktar, 2000).
The informal trans-frontier traders between Nigeria and Chad are dominated by trade actors from Hausaland, Fulani, Shuwa, and Kanuri. However, the emerging trends have shown the increased percentage of Igbo, Kanem and Sara people in the informal trade between Nigeria and Chad. Most of the merchants who engage in this informal business often escape the watchful eyes of security officials of the two countries, using Cameroon as a by-pass.
Informal trade promotes capital flight to and fro the two countries. Presumably, it could be argued that the degree of disequilibrium in the trade create more economic loss for Nigeria and Chad. The extent and importance of the transit trade through Borno can probably be gauged by reference to exchange of items such as livestock, natron, indigenous salt, kola nuts and indigenous cloths. Large quantities of these same articles originated from Chad, Niger and Cameroun. Again, kola nuts and indigenous cloths, which were among the most important indigenous items coming to Borno from the West, formed a substantial part of the commodities conveyed across the frontiers into Niger, Chad and Cameroon (Muktar, 2000).
There are many articles of trade involved in the informal trade between Nigeria and Chad. Informal merchants export petroleum products, motor spare parts, shoes, clothing etc from Nigeria, while they import cotton materials, hides, skin, gum arabic, live-stock etc from Chad. These goods easily move across the borders of the two countries because of the porous nature of Nigeria-Cameroon-Chad trans-border route.
Kamanda and Oyep have opined that “about 10% of Nigeria’s neighbour’s foreign trade is with Nigeria (Kamanda & Oyep, 1997). In addition, present research indicators show that Nigeria is the second largest external trade partner to Chad, after France. But most percentage of trade between Nigeria and Chad are informal and unofficial. Balami has attributed the big deficit in Chadian balance of payment with Nigeria to petroleum products (Balami, 1995).
The structure of the actors in the informal trade can be divided into two. They include the petty informal traders and the mega-informal traders. The petty traders often stay at the boarder entry-points to intercept goods transported into the country for them. Such goods are small in quantity and have little fiscal and monetary value.
On the other hand, the mega-informal traders are big merchants, who engage in the sale of trailer-loads of petroleum products, spare parts (from Nigeria to Chad), cotton and livestock (from Chad to Nigeria). Using business ethics analysis, it can be argued that the mega-merchants have continued to succeed in their illegal trans-border trade because of their unethical connection with the law enforcement agents and other government agencies.
While the petty traders do not follow well established roots, the mega traders do not only follow such routes, but also monitor the movements of their goods through standardized communication channels.
Trade in these two articles (livestock and kola nuts), which had existed for many years before the advent of colonial rule, was given additional impetus with the provision of new transport facilities and an increased rise in earnings resulting from the production and sale of overseas exports (Muktar, 2000). Works (1976) revealed “Nachtigal report that kola was only imported for royalty during his stay in Abeche, but the demand expanded quite rapidly, becoming a fashion first among leading members of various courts and filtering down to the local populace in both northern and southern Chad”.
This study would be incomplete if one neglects the role of the parallel (illegal) foreign exchange market operators. At a time, “over 80% of the foreign currencies traded in parallel foreign exchange market in Borno and Kano is CFA France” (Balami, 1995). The operators in this market had accounts that cut across, Nigeria, Cameroon and Chad, in order to facilitate easy flow of cash for their informal trade.
Balami (2006) went further to argue that the increase in the percentage of Nigerians that are opening parallel account in Chad forced the Chadian Government to place ban on foreigners operating the account (Balami, 1995). However, the action did not quench the tide as the removal of visa requirement on Nigerians, easily allowed Nigerians whose kits and kilns are in Chad to continue the business for them.
Balami (2006) has shown that the Nigerian products exported to her neighbours may be competitive not because of the efficiency of our markets but because Nigeria is favoured by nature. Nature has given Nigeria comparative advantage over our neighbours in the production of some crops like millet, maize, beans, sorghum and garri. In terms of imports, the neighbouring cattle are competitive on the Nigerian market though Nigerians are rearing animals.
Nigerian manufactured products are not competitive than those made in Chad because the per unit cost of production is very higher in Chad. Again, there is the increase in the exchange rate which does not favour the naira, level of inflation and level of adequate supporting facilities such as energy, transportation, shortage of fuel and inconvenient environments like bad government policy and insecurity.
It
should always be remembered that the activities of Boko Haram terrorists and
other criminals remains major challenge for all the countries in the Lake Chad
region (Maza, Koldas & Sait 2020; Foyou, Ngwafu, Santoyo & Ortiz,
2018Ani & Ojakorotu, 2017). Over the years, the insecurity in the region
has affected their security politics, bilateral and multilateral relations (Ani
& Uwizeyimana, 2020; Ani, Ojakorotu & Uwizeyimana, 2019).
4.
ANALYSIS AND FINDINGS
Modal 1
PCNGDPt =
F (TNCTVt, FEXRTt, BOKHARt) (1)
Explicitly
∆Iog PCNGDPt = β0 + β1∆logTNCTVt
+ β2 logFEXRTt + β3log D1i + μt (2)
E(∆Iog (PCNGDPt \D1i =
0, D1j =1) = β0 + β3
Where
(TNCTV) is Total Nigerian and Chad trade value,
(PCNGDP) is
percentage contribution of Chad-Nigerian trade relation to Gross Domestic
Product, (FEXRT) is Foreign Exchange rate and
(BOKHAR) is presence
of Boko Haram as a Dummy Variable (D1 and D2)
D1
takes a value of 1 with the present of the influence
of Boko Haram in Nigeria and Chad, and 0 otherwise. (i.e. D1j = 0 implies the value of D1i
in the absent of the influence of Boko Haram in
Nigeria and Chad and Iog is natural logarithm,
M2 is the nominal M2 money stock, P is the domestic price
level. D1i is dummy variable
represented by BOKHARt the influence
of Boko Haram in Nigeria and Chad.
μ is the white noise disturbance term, while t in the model represents at current period time, β0, β1…, β5 are the parameters of the coefficient.
The ‘a priori’
expectation about the signs of parameters to be estimated in the model
above shows that as total Nigerian and Chad trade value improves, real income
from the countries or percentage contribution of Chad-Nigerian trade relation
to Gross Domestic Product rises (0< β1 >1) to positive
relationship. An effective exchange rate
will decrease while there will be increases in the demand for foreign currency
(> β4 <).
Conversely, as Presence of Boko Haram rises, the distortion in the
economy increases thereby decrease the total Nigerian and Chad trade value
(> β3 <) inverse relationship.
4.1.
Chow Test Estimation procedures
1970 – 1995, Equation 1
∆Iog PCNGDPt = β0
+ β1∆logTNCTVt + β2 logFEXRTt
+ β3log D1i + μ1t
n1 = 25
1995 – 2018, Equation 2
∆Iog PCNGDPt = β0 + β1∆logTNCTVt
+ β2 logFEXRTt + β3log D1i + μ2t
n2 =
23
1970 – 2018, Equation 3
∆Iog PCNGDPt = β0
+ β1∆logTNCTVt + β2 logFEXRTt
+ β3log D1i + μ3t
N = (n1
+ n2) = 48
Equation (1) and (2) in model (2),
assume that the regressions in the two-time period are different, that is the
intercept and the slope coefficients are different, as indicated by the
subscripted parameters. In the above model, the µ’s represents the error terms
and the N’s represent the number of observations.
4.2.
Unit Root Test:
To stem the problem of spurious
regression, it is important that the time series properties of the data set
employed in the estimation is ascertained. It became reasonable to test for the
presence of unit root in the series using the most generally accepted Augmented
Dicke-Fuller models (ADF) and Philip-Peron (PP) unit root tests. Augmented
Dickey Fuller (ADF) test statistics is compared with the critical values at 5%
level of significance. A situation whereby the ADF test statistic is greater
than the critical values with consideration of the absolute values, the time
series is stationary. Augmented Dickey-Fuller test relies on rejecting a null
hypothesis of unit root (the series are non-stationary) in favor of the
alternative hypotheses of stationarity.
5.
RESULTS
Table 3: Unit Root Test (Tests include intercept and trend) Result
Group
unit root test: Summary |
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Series:
PCNGDP, TNCTV, FEXRT, BOKHAR |
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Date:
04/09/20 Time: 04:48 |
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Sample:
1970 2018 |
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Exogenous
variables: Individual effects |
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Automatic
selection of maximum lags |
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Automatic
lag length selection based on SIC: 4 to 9 |
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Newey-West
automatic bandwidth selection and Bartlett kernel |
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Cross- |
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Method |
Statistic |
Prob.** |
Sections |
Obs |
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Null:
Unit root (assumes common unit root process) |
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Levin,
Lin & Chu t* |
35.4716 |
1.0000 |
3 |
114 |
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Null:
Unit root (assumes individual unit root process) |
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Im,
Pesaran and Shin W-stat |
11.1844 |
1.0000 |
3 |
114 |
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ADF -
Fisher Chi-square |
1.3E-06 |
1.0000 |
3 |
114 |
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PP -
Fisher Chi-square |
0.00000 |
1.0000 |
3 |
140 |
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**
Probabilities for Fisher tests are computed using an asymptotic Chi |
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-square
distribution. All other tests assume asymptotic normality. |
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Group
unit root test: Summary |
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Series:
PCNGDP, TNCTV, FEXRT, BOKHAR |
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Date:
04/09/20 Time: 04:50 |
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Sample:
1970 2018 |
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Exogenous
variables: Individual effects |
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Automatic
selection of maximum lags |
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Automatic
lag length selection based on SIC: 7 to 10 |
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Newey-West
automatic bandwidth selection and Bartlett kernel |
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Cross- |
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Method |
Statistic |
Prob.** |
Sections |
Obs |
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Null:
Unit root (assumes common unit root process) |
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Levin,
Lin & Chu t* |
41.4381 |
1.0000 |
3 |
102 |
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Null:
Unit root (assumes individual unit root process) |
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Im,
Pesaran and Shin W-stat |
7.18889 |
1.0000 |
3 |
102 |
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ADF -
Fisher Chi-square |
0.00058 |
1.0000 |
3 |
102 |
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PP -
Fisher Chi-square |
33.5847 |
0.0000 |
3 |
136 |
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**
Probabilities for Fisher tests are computed using an asymptotic Chi |
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-square
distribution. All other tests assume asymptotic normality.
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Source: Computed by the authors using E-views Statistical
package version 9.0
Table 4 : Co-integration Results
Series:
PCNGDP TNCTV FEXRT BOKHAR |
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Lags
interval (in first differences): 1 to 1 |
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Unrestricted
Cointegration Rank Test (Trace) |
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Hypothesized |
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Trace |
0.05 |
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No. of CE(s) |
Eigenvalue |
Statistic |
Critical Value |
Prob.** |
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None * |
0.864374 |
152.1235 |
47.85613 |
0.0000 |
At most 1 * |
0.655216 |
68.21366 |
29.79707 |
0.0000 |
At most 2 * |
0.399048 |
23.49053 |
15.49471 |
0.0025 |
At most 3 |
0.048826 |
2.102457 |
3.841466 |
0.1471 |
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Trace
test indicates 3 cointegrating eqn(s) at the 0.05 level |
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*
denotes rejection of the hypothesis at the 0.05 level |
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**MacKinnon-Haug-Michelis
(1999) p-values |
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Source: Computed by the authors using E-views
Statistical package version 9.
Table 5: OLS Results
Dependent
Variable: LOG(PCNGDP) |
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Method:
Least Squares |
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Date:
04/09/20 Time: 04:56 |
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Sample:
1970 2018 |
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Included
observations: 46 |
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Variable |
Coefficient |
Std. Error |
t-Statistic |
Prob. |
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C |
1.334765 |
0.582928 |
2.289760 |
0.0271 |
LOG(TNCTV) |
0.791085 |
0.116222 |
6.806677 |
0.0000 |
LOG(FEXRT) |
0.191283 |
0.079884 |
2.394525 |
0.0212 |
BOKHAR |
-0.293003 |
0.351134 |
-0.834447 |
0.4088 |
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R-squared |
0.911300 |
Mean
dependent var |
6.337660 |
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Adjusted
R-squared |
0.904965 |
S.D.
dependent var |
1.782729 |
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S.E.
of regression |
0.549577 |
Akaike
info criterion |
1.723604 |
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Sum
squared resid |
12.68545 |
Schwarz
criterion |
1.882616 |
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Log
likelihood |
-35.64289 |
Hannan-Quinn
criter. |
1.783171 |
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F-statistic |
143.8359 |
Durbin-Watson
stat |
1.100500 |
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Prob(F-statistic) |
0.000000 |
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Source: Computed by the authors using E-views Statistical
package version 9.0
Table 6: Chow Test Results showing
three sub periods
Periods |
C |
TNCTV |
FEXR |
BOKHAR |
RSS(ur1,ur2, r) |
R2 |
1970-1995 n1= 25 |
422.4669 (111.1646) |
0.157186 (0.180750) |
18.11652 (2.223383) |
-884.9613 (521.6210) |
17581097 |
0.975530 |
1995-2018 n2 = 23 |
0.371185 (0.463139) |
0.999415 (0.085070) |
0.000138 (0.000829) |
-0.039978 (0.475122) |
14.40771 |
14.40771 |
1970-2018 N1 48 |
1.334765 (0.582928) |
0.791085 (0.116222) |
0.191283 (0.079884) |
-0.293003 |
12.68545 |
12.68545 |
Source: Computed by the Authors using E-views Statistical
package version 9.0
Figure 1: Stability Test Results
Figure 2: Stability Test Results
6.
DISCUSSION
6.1.
Unit Root Tests Analysis
This
study applied Phillips-Perron (PP) and Augmented Dickey-Fuller (ADF) group unit root test
to eliminate the presence of spurious
result and autocorrelation in the
models. The result is presented in tables
above.
In
the table 1 above, the PP and ADF group unit root tests statistic results show
that first difference of the ADF and PP group statistic is
not free from the unit root problem. In other words, the variables are not stationary
and were not significant in absolute terms at 5% levels of
significance since their probability values of ADF, PP, and Shin W-stat [7.18889, 11.1844, and 1.0000] are
insignificance. However, while at the second difference, the
variables PP, ADF and Shin W-stat group test statistic became stationary
since their probability values [-1.09112, 16.6030, 80.7366 and 0.1376 ] in absolute
terms, at 5% levels of significance are statistically
significant.
Generally, the results indicate that
time series are integrated of order one, I(II). The integration of group probability
values of the variables at the same
order with the respective application (ADF, and PP); this implies a linear
combination of series which could be said to be co-integrated. The level of
their integrations indicates the number of time series that it has to be
differenced before their stationarity is induced.
Considering the ADF and PP test
statistics at 5% critical values, it is observed that these tests (i.e. the t- statistics)
are strong. Based on the above results, we can now further the other
estimations model since the problem of spurious results has been adjusted with
the aid of ADF and PP unit root test.
Having found that all the variables are integrated of order two,
co-integration tests are conducted to see if there is a long run or equilibrium
relationship between the variables.
6.2.
Co-integration Test
The estimated equations report that there is a long run relationship between the D(BOP,2) and the explanatory variables; D(BOT,2) D(DOC,2) D(EXR,2) D(INFR,2) and D(RGDP,2) is the hypothesis to be tested in this study. Firstly, the summary of the Johansen Co-integration Test is shown in the Table 4.3 below. The model with lag 1 was chosen with the linear deterministic test assumption.
Under the Johansen co-integration
test, there are four co-integrating equations. In Johansen’s method, the
eigenvalue, trace or Max-Eigen statistic and critical value are used to
determine whether co-integrated variables exist. The results from the trace statistics show that the
absolute values of (i.e. PCNGDP [152.1235> 47.85613], TNCTV [68.21366 > 29.79707], FEXR [23.49053> 15.49471], and BOKHAR [2.102457 < 3.841466] variables were greater than
5% critical value respectively.
In addition, their eigenvalues are
significantly greater than zero (I.e. 0.8
PCNGDP, 06TNCTV, 0.3FEXR,
expect BOKHAR variable that stood at 0.04. In other words, the null hypothesis of no
co-integration among the variables is rejected since more variables in the
equations at 5% were statistically significant. The test result shows the
existence of long-run equilibrium relationship between the variables PCNGDP, TNCTV, FEXRT, and BOKHAR.
6.3.
Ordinary least square (OLS)
T- Critical value at 5% = α /2t0.025
= 1.469 with reference to n-k, where n is the number of observation = 46
and k is the number of parameters = 4; 46 - 4 = 42 at (4; 42) degree of
freedom. F- Statistic, f- critical = k-1 and n-k value. Where k = 4-1 = 3 and
k-n = 30: at (3: 42) degree of freedom, F0.05 = 1.35. (Gujarati, (2005) is the source of statistical
four-figure table used).
The above equation estimated Total Nigerian and Chad Trade Value (TNCTV), foreign
exchange rate (FEXRT), and Boko-Haram (BOKHAR) as a Dummy Variable (D1
and D2) on the dependent variable percentage contribution of Chad-Nigerian trade
relation to Gross Domestic Product (PCNGDP).
The OLS regression result above
shows that Total Nigerian and Chad
trade value (TNCTV),
and foreign exchange rate (FEXRT) coefficients
have positive relationship with the dependent variable (i.e.) percentage
contribution of Chad-Nigerian trade relation to Gross Domestic product (PCNGDP) in Nigeria within the period under
study. The estimated result implies that a unit increase in these independent
variables used (i.e. Total Nigerian and Chad
trade value (TNCTV), and foreign
exchange rate (FEXRT) will lead to increase in the value of percentage contribution of Chad-Nigerian trade relation to
Gross Domestic product (PCNGDP) by [0.791085 TNCTV and 0.191283 FEXRT]
percent respectively, there by posting a strong significant relationship of
Nigeria-Chad trade diplomacy within the period under study. The sign borne by the parameter
estimates of β2, β3 and β4,
were in conformity with the historical and economic a priori expectation.
On the other hand, the coefficients of Boko-Haram influence have
negative linear relationships with percentage
contribution of Chad-Nigerian trade relation to Gross Domestic product (PCNGDP) the dependent variable. If the Boko-Haram effect coefficient
in Nigeria decreases by [-0.293003],
it will lead to
increase in Balance of payments trade adjustment between Nigeria-Chad trade
diplomacy by 30 percent.
Thus, the outcome of Boko-Haram influence is in line with initial expectation since price, trade
and insurgence relationship on life and properties should be inverse
relationship with value and volume of the Balance of
payments between Nigeria-Chad
trade diplomacy. Theoretically,
the sign of the Balance of payments, the dependent variable could be positive or negative. Thus, if the Balance
of payments between Nigeria-Chad
trade diplomacy result shows
negative, it will imply that the Nigeria- Chad monetary
policy variables coefficients
employed are affected and influence Boko-Haram
effect which lead to
between Nigeria-Chad trade diplomacy adjustment.
Generally,
the implication is that Balance of trade adjustment between Nigeria-Chad trade diplomacy economy with
an adverse movement in her monetary and fiscal policy instruments will have
enabling good control by Boko-Haram effect which
ordinarily, monetary policy variables of the both
country will simultaneously expand the investment expenditure on
importation, and lead to increase in the nonoil sector of the economy like
agricultural sector output for export to other countries. This in the long-run
will lead to economic stabilization towards achieving Balance of trade payment
adjustment between Nigeria-Chad
trade relation economic diplomacy.
T-test: The calculated t-value for
the regression coefficients of Total
Nigerian and Chad trade value (TNCTV), foreign exchange rate (FEXRT), Boko-Haram (BOKHAR) as
a Dummy Variable are [6.806677TNCTV], [2.394525FEXRT] and [-0.834447BOKHAR] respectively. The tabulated t- value
is 1.469. It is clear that not all the calculated t-values of all the independent variables were greater than the
tabulated t-value at 5% level of significance. Only the Total Nigerian and Chad trade value (TNCTV), foreign
exchange rate (FEXRT) calculated
t-value coefficients were greater than the tabulated t-value at 5% level of
significance.
We then conclude on the T-test that only Total Nigerian and Chad trade value (TNCTV), foreign exchange rate (FEXRT) regression coefficient were statistically significant to the study within the period of study (i.e. 1970 to 2018). We therefore reject the hypothesis one that said “There is no significant relationship of Nigeria-Chad trade and diplomacy within the period of 1970-2018. rejecting this hypothesis implies that with the t- statistic value of the Total Nigerian and Chad trade value (TNCTV), foreign exchange rate (FEXRT) calculated t-value coefficients were greater than the tabulated t-value at 5% level of significance, and based on this outcome, we accept the alternative hypothesis that said “There is strong positive significant relationship between Nigeria-Chad trade and economic diplomacy within the period of 1970-2018”.
F-Test: This is used to test for the
joint influence of the explanatory variables (i.e. Total Nigerian and Chad trade value (TNCTV), foreign
exchange rate (FEXRT), Boko-Haram
(BOKHAR) on the dependent
variable [i.e. percentage contribution of
Chad-Nigerian trade relation to Gross Domestic product (PCNGDP)]. Thus, the F-calculated value stood at [143.8359] while the F-tabulated
value is 1.35 at 5% level
of significance. Since the F-calculated
143.8 % value is greater than the F-tabulated value 1.35%, we then conclude that the regression plane is
statistically significant. In other words, it means that the joint influence of
all the explanatory variables] on the dependent are statistically significant.
Coefficient of Multiple
Determination (R2): The computed
coefficient of determination (R2 0.911300)
shows that 91% of the total variations in the dependent variable [percentage contribution of Chad-Nigerian trade relation to
Gross Domestic product (PCNGDP)] is influenced by the variation in the explanatory variables
namely, Total Nigerian and Chad trade value (TNCTV), foreign exchange rate (FEXRT), and Boko-Haram (BOKHAR)]. While other remaining 1% out of the
total one hundred variations in the dependent variable accounted for the other
factors not included in the model, and have been captured by the error term in
the regression model. Based on the R2 value, we can conclude that
our linear regression model has no good fit.
The Durbin Watson statistics suggest an evidence of auto-correlation since its value (1.1) is less than 2.5%.
6.4.
Chow test
Where Fx = (RSSr –RSSur) K = f (k( n1+ n2 – 2k ))
RSSur/(n1+n2- 2k)
Fx is the f value computed
from the result in the Model,
RSSr, is the Residual sum of squares restricted form the results of the pull observation with degree of freedom (4- 48) = 44.
RSSur = Residual sum of square obtained from RSS1 +RSS2 sub period
(I.e. 1970 – 2018 RSSR, Rss1 1970 -1995 and 1995 – 2018 Rss2), with degree of freedom
Is therefore analyzed as follows:-
RSSr = 12.68545
RSSur = 17581097, RSS1 + 14.40771, RSS2 = 17,581,111.40771
K = 6 n1= 19, n2 = 18.
Therefore,
F* =
(12.68545– 17,581,111.40771)/4
17,581,111.40771/(25 +23 - 2(4)
F* = (12.68545 –
17,581,111.40771)/4
17,581,111.40771/(48 – 8)
Fx = (4,395,274.680565)
17,581,111.40771/(40)
Fx = 4,395,274.680565
439,527.78519275
Fx = 9.999
The F-critical ratio = 1.35. (4, 44) df.
6.5.
Decision Rule:-
The rule state that the null hypothesis that said “no structural change effect should be rejected if the computed f x – value exceed the critical f- ratio at the chosen level of significance.
Therefore,
we agree that the fx > f-tab (i.e. f- value computed statistical
value = (9.999) is greater than the f–value tabulated = (1.35). We then reject
the null hypothesis that said; there is no structural changes effect occurring
in the Nigerian- Chad trade relations and economic diplomacy with the employed
monetary variables and percentage contribution of
Chad-Nigerian trade relations to Gross Domestic product during the
period under review.
The second test of hypothesis in chow-test is that the sample population error terms u1t and u 2t, are independently distributed.
Where,
u 1t = the error term in equation one having the period from 1970 - 1995
u t = the error term in equation two having the period from 1995 – 2018.
Then we test the hypothesis that say’s:-
HO: σ21 = σ22 that is, the variances in the subpopulation is the same.
H1 = σ21 ≠ σ22 that is, the variances in the subpopulation are not the same.
However, the two true error variance is not observable; thus, we use their estimated value to compute their variance below
σ12 = RSS1/ n1 – 4 17581097/25 -4
σ2 2 = RSS2/n2- 4 = 14.40771/23 - 4
Where σ12 and σ22 stand for estimated variance. Rss1, Rss2 and n1, n2, remain the same thing in meaning. Thus, F x = σ12/σ22
Therefore, σ12 = 17581097/ 21 =, σ22 = 837,195.0952380952
σ22 = 14.40771/ 19 =, σ22 = 0.7583005263157895
Here the rule is that the larger value of
variance assumed the numerator while the small value of the estimated variance
assumed the demodulator.
Therefore, σ12/σ22 = 0.7583005263157895
837,195.0952380952
F* = 9.0576
Thus, with the degree of freedom (4, 44) the F - critical value at 5 percent stood at 1.35. Therefore F* - value of variance computed = 9.0576, is greater than the F- critical value 1.35. With this, we reject the null hypothesis and accept the alternative hypothesis that the subpopulations are not the same.
The purpose of this model is to check if structural change occurred in Nigerian- Chad trade relations and economic diplomacy and how it has affects balance of trade adjustments in Nigerian- Chad trade relations and economic diplomacy, which is our reference topic. In terms of the Chow test, for parameter stability conducted by splitting the total sample period into 1970-1995, 1995-2018 and 1970- 2018, there is no evidence of parameter stability.
In other words, there exhibit evidence of instability from the results estimated, based on this, we reject the hypothesis four of this study that stated, “There is no presence of structural changes and breaks in Nigeria-Chad trade relations and diplomacy within the period of 1970-2018”. This implies that there is the present of structural change and breaks in Nigeria-Chad trade relations and diplomacy that occurred within 1980 to 2018 effecting the Nigerian balance of trade adjustments.
The next purpose of this chow test
to our research is to find out the point of breaks at which these breaks in the
underlying relationship might have occurred and led to breaks in Nigeria-Chad trade relations and diplomacy.
This point is called the point structural of
break, which from the results is located around 1994 and 1995 since the
variances in the subpopulation are not the same and
the sample population f* shows statistical significant 9.0576.
However, we employed stability test of
cumulative recursive sum of residual (CUSUM) and cumulative sum of recursive
residual squares (CUSUMSQ) procedures by (Brown, Durbin & Evans1975). Thus,
the results of this test are presented below.
6.6.
Stability Test
The central issue for empirical analysis here is the
stability of Nigeria-Chad trade economic
relations and diplomacy with the presence of Boko
Haram effects, which we reported in figure 1 and 2. It has been a standard
practice to incorporate short-run dynamics in testing for real trade economic relations and diplomacy of countries.
To this end, we follow Brown, Durbin and Evans (1975) to
apply the cumulative sum of recursive residuals (CUSUM) and cumulative sum of
squares of recursive residuals (CUSUMSQ) to residuals of chow test tested
above. The CUSUM and CUSUMSQ test statistic are updated recursively and plotted
against break points in the data. For stability of short-run dynamics and the
log-run parameters of Nigeria-Chad trade economic relations and diplomacy, it is important that CUSUM and CUSUMSQ statistic should
stay within the 5 percent critical bound line, represented by two straight
lines. The test finds parameter instability if the CUSUM and CUSUMSQ go outside
the area between the two critical lines. In other word, the significance of any
departure from the zero line is assessed by referencing to a pair of 5 %
significance lines; these plots were shows in Figure 1 and Figure 2.
However, from the results (plots)
above, it is clear that both the cumulative recursive sum of residual (CUSUM)
and cumulative sum of squares of recursive residuals (CUSUMSQ) plotted are
Figure 1 and Figure 2 significant and has the right picture in Figure 1 and
Figure 2 above since it stays within the 5 percent critical bound line,
represented by two straight lines. This implies that the parameter Nigeria-Chad trade economic relations
and diplomacy with the presence of Boko Haram effects
is stable during this period of observation (1970-2018).
The outcome of these results were not
affected by the presence of the structural change effect as we found with the
chow test result above. Thus, since there is a structural change effect during
this period of review, it is very possible for the Nigeria-Chad
trade economic relations and diplomacy to be stable throughout these periods of observation even
with the Presence of Boko Haram attack. Therefore, we accept the alternative
hypothesis two of this study that side that there is stability in Nigeria-Chad
trade economic relations and diplomacy even with the presence of Boko Haram effects.
7.
CONCLUSION AND RECOMMENDATIONS
This study investigated the nature of Nigerian-Chad trade and security relations from 1960-2019. It found that the volume of trade amongst the two states, both the formal and informal trade has continued to grow, irrespective of the challenge of Boko Haram terrorism that has taken over the border of both states. The study concluded that Nigeria-Chad trade relations and diplomacy has contributed to joint ventures opportunities between Nigerians and Chadian investors and has promoted and protected national interest. Insurgencies, border insecurity, activities of smugglers, trade blackmails are challenges of Nigeria-Chad economic diplomacy, however the trade has continued to grow.
The study recommends that economy needs to be fashioned
to the realities of globalisations, as such, the economic diplomacy of the
present administration need to be directed towards addressing contemporary
challenges in the economic environment. Even as the border is closed, the
activities of smugglers and the parallel market is obvious.
Therefore,
more scrutiny should be done on what enters and goes out of the country.
Finally, since diplomacy is a game of elaborate rules requiring sound professional
acumen, the federal government must
ensure special trainings in international relations at the master’s degree
level and in other related areas as this will further equip and arm the
officers with all they need to properly discharge their duties.
REFERENCES
Akindele, R. A., & Ate, E. B. (1986).
Nigeria’s Foreign Policy, 1986-2000 AD: Background to the Reflections on the
View from Kuru, Nigerian Journal of International Affairs, 12(1-2), 225
Ani, K. J., & Ojakorotu,
V. (2017). Terrorism in Africa: A Comparative Evaluation of Al-Shabab and Boko
Haram, Affrika: Journal of Politics,
Economics and Society, 7(1),
11-29.
Ani, K. J., & Ojakorotu,
V. (2018). Realism in Nigeria-Chad Diplomatic Relations and the Need for
Conflict Transformation. Ubuntu: Journal
of Conflict and Social Transformation,
7(1), 177-197
Ani K. J., Ojakorotu, V.,
& Uwizeyimana D. E. (2019). Resource and Environmental Insecurity in the
Lake Chad region, Journal of Reviews on
Global Economics, 8,
1617-1621
Ani K. J., & Uwizeyimana
D. E. (2020) Climate Change and Changing Environmental Insecurity in the Lake
Chad, Journal of African Union Studies, 9(2),
65-88
Attah, J. O. (2008). Office of The Public Relations Department,
Nigeria Custom Headquarter, An Interview held in Abuja on 25th
August
Balami, D. H. (1995). Cross Border Trade between Nigeria and her
Neighbours: A Case Study on Nigeria and Chad: A Report Submitted to the
Network on Cross-border Trade between Nigeria and her Neighbours: Department of
Economics, UNIMAID P. 80
Balami, D. (2000-2001).
Government Policies and Behaviour of Actors in the Informal Trans-frontier
Trade between Nigeria and Her Neighbours: A Case Study of the Borno Frontier. Annals of Borno, XVII/XVIII, 74.
Balami, D. H. (2002). The Impacts of Informal
Cross-Border Trade on Sub-Saharan Africa and Integration with Focus on Nigeria
and Her Neighbours, NCEMA Policy
Analysis Series (NPAS), 8(2).
Balami, D. H. (2003). Evolution of Cattle Trade between Tchad Republic and Nigeria, Maiduguri: Salawe Prints
Balami D. H.
(2006). Evolution of the Political, Economic and Commercial Aspects of
the Cross-Border Trade between Nigeria and Her Neighbours. Al-Mahram: Journal of Trans-Saharan Studies, 2(2-3), 15-25
Chibundu, V. N. (2004) Foreign Policy: With Particular Reference to Nigeria (1961-2002) Ibadan: Spectrum
Books ltd.
Chouadeung, V. (2009). An Interview held at Chadian Consulate, Maiduguri. May.
Egg, J., & Igue, J.
(1993). Market –Driven Integration in
the Eastern Sub-region: Nigeria’s
Impact on its Neighbours, Cotonou: Lares
Eigbire, M. (2008) Former Assistant Director, Chadian Section, East and Central African
Department (ECAD). An interview held at Ministry of Foreign Affairs Abuja,
March
Foyou, V. E., Ngwafu, P., Santoyo M., &
Ortiz A. (2018). The Boko Haram Insurgency and its Impact on Border Security,
Trade and Economic Collaboration between Nigeria and Cameroon: An Exploratory
Study, African Social Science Review, 9(1), 66-77
Hirse, B. M. (2009) Cited in Agreed Minutes of the Second Session of the Joint
Implementation Committee (JIC) Meeting on Nigeria-Chad Joint Commission Held in
Maiduguri, Borno State, Nigeria, 8-10 December, p. 2
Kadiri, D. (2009) The interview was held at Saviour Model College Maiduguri on 28th
April.
Kamanda, P., & Oyep, E.
(1997).The Evolution of Trade Flows between Nigeria and Cameroon. in A.
Nyong An Empirical Study of Nigeria’s Monetary and other Related Macro
Economic Policies on Cross- Borders Trade, Cotonou: Core
Linder, S. (1961). An Essay on Trade and Transformation, Hoboken, NJ: John Wiley & Sons
Maza, K. D., Koldas U. &
Sait A. (2020). Challenges of Combating Terrorist Financing in the Lake Chad
Region: Challenges of Combating Terrorist Financing in the Lake Chad region: A
Case of Boko Haram, Sage Open, June in https://journals.sagepub.com/doi/full/10.1177/2158244020934494. Accessed
on 18th October, 2020
McCandless, G. T., &
Wallace, N. (1991). Introduction to
Dynamic Macroeconomic Theory: An Overlapping Generations Approach, Cambridge: Harvard University Press
Muktar, Y. (2000) Trade, Merchants and the State in Borno C. 1893-1939, Koln: Koppe, pp. 201-205
Nigerian Ministry of Foreign Affairs (1987). Brief of Nigerian-Chad Joint Commission
21-24 September, Ndjamena P. 6
Nigerian Ministry of Foreign Affairs (1996) Protocol of the Second Session of the
Nigeria-Chad Joint Commission Held in Abuja, Nigeria from 22nd-24th
October, p. 6-11
Nigerian Ministry of Foreign Affairs (2008) Brief for the 4th Session of the
Nigeria/Chad Joint Commission Holding in Abuja from 15-17 October
Nigerian Ministry of Foreign Affairs (2009). Agreed Minutes of the Second Session of the
Joint Implementation Committee (JIC) Meeting on Nigeria-Chad Joint Commission
Held in Maiduguri, Borno State, Nigeria, 8-10 December, p.2-12
Nyong, M. O. (1997) Cameroon Cocoa Exports to South-Eastern
Nigeria: A Report Submitted to the Networks on Cross-border Trade
Monitoring between Nigeria and it Neighbours, Calabar, Department of Economics,
University of Calabar
Obimah, W. (2009) Assistant Director, Chadian Section, East and Central African
Department (ECAD). An interview held at Ministry of Foreign Affairs Abuja,
September, 2009.
Oguwu, U. J., & Olukoshi, A. (1991)
Economic Diplomacy in Contemporary World and the Nigerian Experience. Nigerian Journal of International Affairs, 15(1-2), 72-73
Ojo, O. J. B.
(1976).Commercial Representation in Nigeria’s Overseas Missions: It Nature,
Functions and Problems. Nigerian Journal
of International Affairs, 2(1-2).
Sen, S. (2005). International
Trade Theory and Policy: What is Left of the Free Trade Paradigm? Development and Change, 36(6), 1011-1029
Sen, S. (2010). International
Trade Theory and Policy: A Review of the Literature, Levy Economics Institute
of Bard College, Working Paper No. 635,
1-23
Works, J. A. (1976) Pilgrims in a Strange Land: Hausa Communities in Chad: New York: Columbia University Press, 182-199