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Go Back       Himalayan Journal of Economics and Business Management | Volume 3 Issue 3 | May 30, 2022
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DOI : 10.47310/Hjebm.2022.v03i03.004       Download PDF       HTML       XML

Port Concession and Ship Turnaround Time in Nigerian Ports


Dr. Okeke, Adaora Florence

Marketing Department College of Management Sciences, Odimegwu Ojukwu University, Uli, Anambra State, Nigeria


*Corresponding Author

Dr. Okeke, Adaora Florence


Article History

Received: 10.05.2022

Accepted: 20.05.2022

Published: 30.05.2022


Abstract: This study was on port concession and ship turnaround time in Nigerian ports, with Apapa and Rivers ports as the focus. The survey research design was used. The respondents of this study consisted of customers who do business in the ports. The population of the study was one thousand, five hundred and forty seven (1,547) and sample size of four hundred (400) was selected using stratified sampling technique. Data were collected using a set of structured questionnaire. Data generated were analyzed using descriptive and inferential statistics, specifically with arithmetic mean, multiple and simple regression analysis with the aid of E-view statistical package. Findings revealed that port concession had positive and significant effect on super-infrastructure and ship turn-around time among others. Hence, we concluded that port concession has positively and significantly affected the ship turnaround time in Nigerian Ports. Based on these findings, we recommend among others that port operators should as a matter of urgency restructure their operational activities to reflect their mandate of concession; Port operators should from time to restructure their operational sequence so as to further reduce the ship turn-around time; the port operators should adopt full utilization of Management Information System (Technological application); the port operators should endeavour to revise and simplify their operational operando so as to ensure that it captures and responds to customers’ values and aspirations on regular bases.


Keywords: ship, Nigerian ports.


INTRODUCTION

A port is a location on a coast or shore containing one or more harbours where ships can dock and transfer people or cargo to or from land (Eniola, Njoku, Oluwatosin and Okoko, 2014). Port locations are selected to optimize access to land and navigable water, for commercial demand, and for shelter from wind and waves. The use of the sea as a means of transport in Nigeria dates back to the 15th century (1485) when the Portuguese sailed into Lagos with their vessels basically to trade on artifacts in Benin City. From the pre-independence era till date, the nation’s maritime industry is characterized by the domination of foreign vessels and/or carriers from the developed market economies of Western Europe and America. In order to control this scenario, subsequent developments led to the opening of ports at Apapa and Port Harcourt, as well as the creation of the Nigerian Ports Authority (NPA) by the provision of Ports Act 1954 to load and discharge as well as maintain and develop the ports (Njoku, 2009).


From the commencement of operation of the NPA in 1956, Nigeria had operated a full capacity service port model. This was fraught with lot of challenges which informed the idea of switching over to a landlord port model or port concession. The port concession use British version was completed in 2006 after an international competitive bidding process. This led to the emergence of 26 terminals which were concessioned to private terminal operators on the Build, Operate and Transfer (BOT) model (Eniola, et al., 2014).


The reform brought about ceding of cargo handling operations at the port to private terminal operators, leaving NPA as the facility owner. The Nigerian ports witnessed a rapid transformation as a result of this reform in which Nigerian ports were concessioned to the port operators called concessionaires.


Before the advent of port concession (1956-2005), the Nigerian port system suffered from numerous ills which included the following: the turnaround time for ships was too long and usually calculated in weeks, sometimes months, depending on the cargo being loaded or discharged; cargo-handling plants and equipment owned by the NPA were few and mostly unserviceable leading to shipping companies hiring these machines from private sector sources after having paid NPA; dwell time for goods in ports was prolonged due to poor port management and as a such overtime cargo filled the most active seaports leading to port congestion; labour for ship work was held in the vice-grip of wharf overlords who controlled dockworker unions and supplied less than the manpower paid for. This fraud, which became accepted by the maritime community lasted for years and was usually perpetrated to extract maximum revenue from helpless ship owners and their agents without minding how this impacted on the Nigerian economy and the already dented image of the Nigerian seaports. As a result of the compounded problems, the Nigerian seaports were rated as one of the costliest eaports in the world. Consequently, it adversely affected the patronage of the seaports (Njoku, 2009).


Statement of the Problem

The globalization of the world economy has increased the importance of the role for transportation. In the transportation arena, the sea port plays a key role in the process because of the utilization of economy of scale advantages, as compared to other traditional methods of transportation. Port technology had to change at a faster rate commensurate with the pace of technological changes in shipping, for instance from handling of bulk palletized cargo to containerization. Ships and ports have never so technically advanced, never been so sophisticated, never been more immense, never carried/contained so much cargo, never been safer and never been as environmentally friendly as they are today (Eniola, et al., 2014). In order to support the global and regional trade development, Nigerian ports have increasingly been under pressure to improve on efficiency and productivity by ensuring that port services are provided on an internationally acceptable standard. Empirical studies on port concession and ship turnaround time in Nigerian coastal lines are scanty or fragmented. Therefore, it is against this background that we attempt to investigate the effect of port concession on the ship turnaround time in Nigerian ports.


OBJECTIVES OF THE STUDY

The main objective of the study is to determine how the concessions of Nigeria Ports have affected the quality of service delivery in Nigeria. The specific objectives of the study are to:

  1. ascertain the effect of private ownership on the tangibles and super infrastructure of Nigeria ports.

  2. ascertain the effect of private ownership on ship turn-around time in Nigeria ports.


Research Questions

The research questions that guide the study are stated below:

  1. What is the effect of private ownership on the level of tangibles and super infrastructure in the Nigeria port service delivery?

  2. How does private ownership of ports affect ship turn-around time in Nigeria ports?


Hypotheses of the Study

The following hypotheses were formulated to guide the study;

Ho1: Private ownership does not significantly affect the tangibles and super infrastructure of Port Service delivery in Nigeria.

Ho2: Private ownership does not significantly affect the ship turn-around time in Nigeria ports.


REVIEW OF RELATED LITERATURES

THE Concept OF PORT CONCESSION

There are two major variables understudy in this topic (port concession in Nigeria and Port system service delivery). The study independent variable is port concession while the dependent variable is the quality of service delivery in the Nigeria port system. It is pertinent to note that the major focus of the study as stated in the objectives is to ascertain how the port concession implementation has transformed the nature of port services delivery in Nigeria. To achieve this, the researcher intend to use port concession as a single independent variable to measure the significant effect on five indicators of quality service delivery as stated in the GAP model by Parasunaman, et al (1985). The quality of port service delivery in Nigeria will be measured with the level of responsiveness of the port system after the port concession. The degree of empathy accorded to the port users since the implementation of the port concession. The assurance of efficient and effective port service by the port system since the port concession will be reviewed. The reliability of the port service and the degree in which modern facilities and technology have been introduced which enhances efficient port or cargo management since the port concession in Nigeria. In line with this, the researcher conceptualized this framework (below) to guide the study.


Ports are the gateway to Nations economy but Nigerian ports were performing poorly due to congestions, pilfering, insecurity, delays in cargo clearance, high tariffs, corruption etc; hence making most port users to patronize ports of Neighboring Countries leading to loss of revenue by Government. Reforms have brought about opening up of the ports operations to market forces. Reforming the Nigerian ports has brought about private partnership participation in the ports, leading to injection of funds for infrastructural and super structural developments of the ports This brought about efficiency and increased productivity, expansion of port operation, utilization of economy of scale, increased service quality, use of modern equipment, reduced fiscal burden of loss-making state enterprise etc.


A concession from an economic perspective is in the form of a public-private sector partnership arrangement, used to engage the private sector in the port business. Brooks and Pallis (2008) describe a concession contract as a legal instrument used to assign roles and responsibilities between the private and the public. Concession can be described as; an arrangement whereby a private party the concessionaire leases assets from a public authority for a given, usually extended, period and has responsibility for new fixed investments during the period and for providing services associated with the assets. In return, the concessionaire receives specified revenues from the operation of the assets. At the end of the contracted period, the assets revert to the public sector or a new concession is awarded (Aronietis, Monteiro, Van de Voorde, & Vanelslander, 2012).


Prospects and Problems of the Nigerian Ports concession

Concession of Nigeria Port especially to foreign investors reflects the fact of re-colonization of Nigeria and imperialism. It is another form of handing over strategic economic point to the foreign hand for exploitation. In spite of the fact that they will add expertise and technical efficiency to port operation, wholly concessionaire/released to foreign firms is not wise. This has led to changes in unemployment relations in the Nigeria maritime industry (jobs security, wages and recognition of trade unions). Many workers lost their jobs, jobs security and motivation were not considered in the new port systems.


Benefits of the NPA concession;

    1. It attracts direct foreign investment (DFI).

    2. Reposition NPA as the hub of Africa trade with the world.

    3. Enhance better service delivery system facilities and port users’ service experience (Okeke and Kalu, 2019).

    4. Reduces the investment of public funds in an area that private sector can come in. thus the Federal Government port system indebtedness from $34million in 1994 to zero in 2008.

    5. It permits a healthy competition among the port operators and zones (Eniola, et al., 2014).


Ship Turn-around Time

Ship turn-around time is the time frame that it takes a ship to dock and offload it cargos and exits the terminal. Barnabas (2015) expressed that, vessels now dock easily and discharge rapidly compare to what used to happen in the past at Nigerian seaports. Tongzon and Heng (2005) and Nwaogbe, Diugwu and Muhammed (2016) all confirmed that, concessioning of ports leads to operational efficiency of ports and economic well-being of the country. Anagor (2014) reiterated that, importers and exporters now have confidence in carrying out their businesses through Nigerian ports. Somuyiwa (2008) noted that, most developed cities in Nigeria can be found to be areas where there are seaports. Ndikom (2006) listed the significant impact of maritime transport in the development of Nigeria from the point of employment, exploration and production of goods and services. According to Notteboom, (2007), the flexibility, efficiency and customer satisfaction are the benefits of port concession and the reason it is been adopted globally. It is expected that, concessioning will facilitate technical expertise as foreigners will come and enhance our local knowledge in the industry. Somuyiwa (2008) expressed the changes that occurred at the terminals after concessions of Roro Port to Five Star Logistics and Grimaldi Group respectively. Similarly, it cited Colombia and Argentina as two out of several countries that adopted port concessioning measures for improvements at the ports. Waiting time for vessels has reduced greatly and number of containers moved per hour improved from 7 to 32.


The SERQUAL Model is relevance to this study in the sense that it tries to guide the understanding of how port concession influence the service quality of the Nigeria Port Authority. Hence, it will be adopted as the theoretical underpin for the study.


Review of empirical literature

Moses, Dotun and Matthew (2017), carried out a study on Post Effects Evaluation of Port Concession on Dockworkers in Nigeria. The study evaluated the post effect of port concession on Nigerian dockworkers. Three hypotheses were formulated and tested using Chi square with the help of computer based software known as SPSS version 21. The Chi square analysis revealed that there was significant increase in the level of employment, improved working conditions and that dockworkers are well trained and equipped in the post concession era.


In the last 10 years, measurement of port efficiency using Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA) has been symbolic. For instance, Tongzon (2001) investigated port efficiency of selected Australian ports and benchmarked them with other international ports based on DEA estimates. Lee et al. (2005) examined efficiency of ports in the


Asia Pacific region applying Recursive DEA, while Cullinane and Wang (2006) studied the efficiency of European container ports by using DEA and Ablanedo-Rosas et al. (2010) evaluated the relative efficiency of 11 major Chinese ports using adopted version of DEA.


Service system design and establishment of organizational structure in Nigeria ports should make provisions for the applications of these new technologies in the management of cargo handling, processing of import and export duties and online tracking of containers and cargoes, keeping in view the critical comment of Karmakar and Apte (2007:119), that “technological changes, drive process changes”. The current IT-driven services revolution manifesting in automation, self-service, out-sourcing, and off-shoring, constitute challenges and opportunities for port management authorities in Nigeria (Okeke and Kalu, 2019).


NPA (2014) reports that giving the record rise in shipping and cargo traffic over the last six years, one can give the port concessioning reforms some “pat on the back”. Apart from the huge infrastructure rehabilitation and investment of about 200 billion since the reform, there has been a tremendous improvement in the way business is done at the ports than what it used to be prior to concession (Okeke and Kalu, 2019).


Nwanosike et al (2013) in the study revealed that the driver of the improved efficiency after concession, is scale of efficiency (increased throughput levels), rather than technical efficiency. Therefore, the post-concession Nigeria ports performance is influenced by the scale of production and change of ownership. The delineation of the ports into terminals has not ushered in the expected competition among and within the ports.


The SERVQUAL scale was developed following procedures recommended for developing valid and reliable measures of marketing constructs (Asubonteng, McCleary & Swan, 1996; Brown, Churchill & Peter, 1993). The article in 1985 that set the scene for SERVQUAL, conceptualized service quality as a gap between customers’ expectations and perceptions (Parasuraman et al., 1985). They conducted an exploratory study to investigate the concept of service quality. SERVQUAL model was adopted as the theoretical underpin for the study.


Review of empirical literature

Moses, Dotun and Matthew (2017), carried out a study on Post Effects Evaluation of Port Concession on Dockworkers in Nigeria. The study evaluated the post effect of port concession on Nigerian dockworkers. Three hypotheses were formulated and tested using Chi square with the help of computer based software known as SPSS version 21. The Chi square analysis revealed that there was significant increase in the level of employment, improved working conditions and that dockworkers are well trained and equipped in the post concession era.


Service system design and establishment of organizational structure in Nigeria ports should make provisions for the applications of these new technologies in the management of cargo handling, processing of import and export duties and online tracking of containers and cargoes, keeping in view the critical comment of Karmakar and Apte (2007:119), that “technological changes, drive process changes”. The current IT-driven services revolution manifesting in automation, self-service, out-sourcing, and off-shoring, constitute challenges and opportunities for port management authorities in Nigeria.


NPA (2014) reports that giving the record rise in shipping and cargo traffic over the last six years, one can give the port concessioning reforms some “pat on the back”. Apart from the huge infrastructure rehabilitation and investment of about 200 billion since the reform, there has been a tremendous improvement in the way business is done at the ports than what it used to be prior to concession.


Nwanosike et al (2013) in the study revealed that the driver of the improved efficiency after concession, is scale of efficiency (increased throughput levels), rather than technical efficiency. Therefore, the post-concession Nigeria ports performance is influenced by the scale of production and change of ownership. The delineation of the ports into terminals has not ushered in the expected competition among and within the ports.

Methodology

The researcher employed survey design in the study. The researcher adopted stratified random sampling technique because the port users (Importers and Exporters) in these four locations in the Nigeria coastal cities of Port Harcourt and Lagos were singled out. Thus, the sample size for this study is 400 respondents. The quantitative data generated were tested using multiple regression analysis.


4.1 Collation of Data

Response rate (From the Importers and Exporters)


Table 4.1 Distribution and retrieval of copies of questionnaire

Distribution

Retrieval

% Retrieval

Rejected

% Rejected

Valid

% Valid

400

313

78.3

26

6.5

287

71.8

Sources: Field Survey 2021


Table 4.1 shows that 400 copies of questionnaire were distributed to the target customers (Importers and exporters). Out of the 400 questionnaires distributed among the customers of the ports studied in Rivers state and Lagos State, a total of 313 copies was returned. This produced a response rate of 78.3 per cent. Out of this, 26 questionnaires were discounted based on serious omissions in some of the scale items.


Therefore, to avoid obtaining misleading information in this research, the researchers concluded that it would be appropriate to exclude such data in favor of more genuine and standard questionnaires. Consequently, the usable questionnaire extracted were 287 which produced a response output of 71.8 per cent. However, it was clearly supported in literature that response rate above 50 per cent is good and acceptable level when the research uses survey questionnaire (Creswell & Creswell, 2018).


4.2 Data Presentation

4.2.2 Analysis of Questionnaire Responses from the Port Users (Importer and Exporters)

This section comprises question by question analyses of all items from which questions were drawn and posed to 287 customers covered in this study. The use of percentages was applied to determine the majority opinion in each case.


Table 4.3: Responses from Port Users

ITEM

POSITIVE RESPONSES

(PR)

PR (%)

NEGATIVE

RESPONSE

(NR)

NR (%)

UNDECIDED

(U)

U (%)

1. PRIVATE OWNERSHIP

232

81%

38

13%

17

6%

2. TANGIBLE/SUPER INFRAST.

198

69%

52

18%

37

13%

3. SHIP TURN-AROUND TIME

200

70%

67

23%

20

7%

Descriptive Analysis in Percentage for Responses from Customers of the Nigeria Ports

Source: Researcher’s Computation, 2021


Analysis of objective 1

Objective 1: Ascertain the effect of private ownership on the tangibles/super infrastructure of Nigeria ports.

Table 4.5 below shows the result of the simple regression estimate which tries to predict changes occurring in the tangibles/super infrastructure of the Nigeria ports as a function of the variations that exist in the private ownership in accordance to the opinions submitted by the port users who are the respondents in this study. Results obtained show that private ownership of port authorities has actually affected the level tangibles/super infrastructure at regression slope value of 0.82 approximately. This conforms to the study of Bello (2017) that concluded that port concession can enhance the facilities at any given coastal line.


Table 4.5: Effect of Private Ownership on Tangible/Super Infrastructure of Nigerian Ports

Dependent Variable: TANGIBLE



Method: Least Squares



Date: 9/27/21 Time: 16:14



Sample: 287




Included observations: 287













Variable

Coefficient

Std. Error

t-Statistic

Prob.  











C

-0.079700

0.148069

-0.538259

0.5910

PRIVATEO

0.819838

0.029833

27.48097

0.0000











R-squared

0.786504

    Mean dependent var

3.940419

Adjusted R-squared

0.785462

    S.D. dependent var

0.711436

S.E. of regression

0.329525

    Akaike info criterion

0.627284

Sum squared resid

22.26023

    Schwarz criterion

0.659484

Log likelihood

-62.92385

    Hannan-Quinn criter.

0.640305

F-statistic

755.2039

    Durbin-Watson stat

1.361591

Prob(F-statistic)

0.000000














Source: Researcher’s Eviews Analyses 2021


The above result connotes that a unit change in the private ownership can be associated by a corresponding increase in tangibles/super infrastructure of 0.82 holding other factors constant.


Also the residual statistics of the simple regression estimate also suggest that the model is well-fitted judging from the r-squared and adjusted r-square value of 79% approximately. This value implies that private ownership is beneficial to increase the level of tangibles/super infrastructure which can possibly be on ground at the port. The F-statistics of 755.20 at a significance level of 1% explains the fitness of the regression model and affirms that private ownership of port system have the ability to explain changes occurring in the level tangibles/super infrastructure.


Analysis of objective 2

Objective 2: Ascertain the effect of private ownership on ship turn-around time in Nigerian ports.

Table 4.6: Effect of Private Ownership on Ship Turn-around Time

Dependent Variable: SHIPTAT



Method: Least Squares



Date: 9/27/21 Time: 16:18



Sample: 287




Included observations: 287













Variable

Coefficient

Std. Error

t-Statistic

Prob.  











C

-0.879995

0.172110

-5.112990

0.0000

PRIVATEO

0.666569

0.059061

11.28616

0.0000











R-squared

0.733783

     Mean dependent var

3.158310

Adjusted R-squared

0.731173

     S.D. dependent var

0.662527

S.E. of regression

0.343511

     Akaike info criterion

0.715190

Sum squared resid

24.07191

      Schwarz criterion

0.763490

Log likelihood

-71.02211

     Hannan-Quinn criter.

0.734722

F-statistic

281.1459

     Durbin-Watson stat

1.751336

Prob(F-statistic)

0.000000




Researcher’s Eviews Analyses 2021


With reference to the contents of Table 4.6 shown above, we found that private ownership of the port systems in Nigeria have positive effect on the ship turn-around time experienced as opined in the responses of the port users in this study.


It is important to note the significance level of the t-statistics for private ownership in the regression output is relevant at less than 1% suggesting a credible relationship existing between private ownership and the time that each ship spend at the port once they dock.


This result is consistent with logical reasoning since the port services is now in the hands of private firms whose so aim is to satisfy customers at a profit and unnecessary stay of ship on their terminals would translate to losses to them. Hence, they would do everything to ensure that the ship turn-around time is reduced drastically. This therefore suggests that in the opinion of the port users, that port concession have to a great extent reduced the ship turn-around time and this has led to speedy loading and offloading they have been experiencing in the recent time. This conforms to the study of Ndubuisi (2016) which holds the same view.


In consideration of the residual statistics, we conclude that private ownership of the port, exhibit a significant effect on ship turn-around time. The co-efficient of correlation yields a high value of 73% approximately indicating that both variables can explain to a great extent, the changes the occurring in the speedy ship turn-around time currently experienced in Nigerian ports. The result is also supported by the outcome of the f-statistics which is 281.15 approximately at 1% level of statistical significance.


DISCUSSION OF FINDINGS

Form hypothesis 1 in table 4.9, we found that a unit variation in the private ownership of the port system firm can possibly elicit a corresponding interaction in level of tangible/super infrastructure at the tune of 0.81 assuming all other factors are held constant. In support of the regression coefficient, the residual statistics of the simple regression estimate also suggests that the model is well-fitted judging from the r-squared and adjusted r-square value of 79% approximately. This value implies that private ownership of the port system is beneficial to the achievement of increments in level of facilities on ground that ensures smooth port operations. The F-statistics is also significant at 1% which explains the fitness of the regression model and affirms that private ownership of the port system have the ability to explain changes occurring in the tangible/super infrastructure that is being used at the port. The Durbin Watson statistics being 1.4 approximately is quite close to 2 and shows that the regression analyses is valid and should be accepted. This conforms to the findings of Ahmed (2019) that concluded that private ownership of the ports system in Nigeria from the year 2005/2006 has significantly affected the productivity of seaports.


Hypothesis 2 was analysed on the basis of result on table 4.10 where it was found that there private ownership of the port system significantly affect ship turn-around time. Based on the result and the fact that probability value for private ownership is less than 0.05, we therefore reject the null hypothesis as stated above and accept its alternative implication which holds that there is significant relationship between private ownership and ship turn-around time having found a significant association to exist between the two variables in the simple regression estimates on table 4.10. The model is well-fitted judging from the r-squared and adjusted r-square value of 73%. This value implies that private ownership of the port system is responsible for the achievement in reduction on the ship turn-around time. The F-statistics is also significant at 1% which explains the fitness of the regression model and affirms that private ownership of the port systems has significantly reduced the ship turn-around time. The Durbin Watson statistics being 1.8 approximately is quite close to 2 and shows that the regression analyses is valid and should be accepted. This conforms to the findings of Aponjolosun (2017) that also found that the ship turn-around time has drastically reduced since the port operations were handed over to private players.


SUMMARY OF FINDINGS

Generally, the implications of the findings of this work based on the objectives as analysed shows as follows;


On the effect of private ownership on tangible/super infrastructure of Nigeria port, the opinion of the respondents were estimated using regression analysis; private ownership has significant and positive effect on tangible/super infrastructure as is evident from the outcome of its beta co-efficient and probability value.


The effect of private ownership on ship turn-around time at the port in the opinion of our respondents was estimated and the result shows that private ownership significantly and positively interacts with the reduced ship turn-around time currently experienced in the ports.


CONCLUSION

The study concludes here that private ownership has a direct and significant effect on tangible/super infrastructure at Nigerian port and private ownership has gone a long was in reducing the ship turn-around time.


RECOMMENDATIONS

Based on the findings of the study, various recommendations were made which the researcher believes will improve the service delivery quality of the Nigerian ports.

  • More ports should be dredged and licences given to firms that can equip their terminals with standardized tangible/global infrastructure for enhanced efficiency and productivity.

  • Port operators should from time to restructure their operational sequence so as to further reduce the ship turn-around time.


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