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STATISTICAL ANALYSIS OF COAL PRODUCTION IN NIGERIA (A CASE STUDY OF THE NIGERIA COAL CORPORATION ENUGU FROM 1990-1999)STATISTICAL ANALYSIS OF COAL PRODUCTION IN NIGERIA (A CASE STUDY OF THE NIGERIA COAL CORPORATION ENUGU FROM 1990-1999)

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STATISTICAL ANALYSIS OF COAL PRODUCTION IN NIGERIA (A CASE STUDY OF THE NIGERIA COAL CORPORATION ENUGU FROM 1990-1999)

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ABSTRACT

This research work was geared to determine the growth pattern in the coal production at the Nigeria Coal Corporation Enugu, for the period under study.

And this study is restricted to the Coal production ( in tones) form 1990 – 1999 at the Nigeria Coal Corporation Enugu which will reveal how well the Coal Industry has done in terms of production and the future prospect.

The measurement was in tones and the data were collected through the official records on production in the administrative office (production department) of the Nigeria Coal Corporation Enugu which was prepared and kept by.

And to accomplish this research work the same data were used in estimating the components of time series

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Title page

CHAPTER ONE

Introduction

Historical background
Aims and objectives of study
Scope f study
Literature review

CHAPTER TWO

Data collection
Limitation of study
Problems uncounted

CHAPTER THREE

Test for normality of production of coal
Test for homogeneity (constant) variance of production of coal.
Estimation of trend on production of coal
Determination of seasonal variations
Test for cyclical variation
Estimation of irregular variation/component.

CHAPTER FOUR

Forecasting
Summary/conclusion
Recommendations

Appendix

Reference.

CHAPTER ONE

INTRODUCTION

HISTORICAL BACKGROUND

The Nigeria Coal Corporation information manual (1990) states that “Coal was first discovered in 1909 at streams along Udi escarpment in Enugu state by the first group of British colonial adventures in Nigeria following a survey by the then colonial mineral survey department of southern Nigeria, actual mining started in 1916 at the foot of Udi hill along Enugu escarpment”.

Iwu (1990) stated that “initially, the Coal industry was a unit of the marine department and Coal produced was supplied to the British for their steam boats. Other supplies were to the Nigeria Railways for the steam locomotives engines. Following the increase in transportation activities by rail, the Coal industry was excised from the marine department and established with the Nigerian Railway in 1937. Increased political awareness and a strike actin by Coal miners to back up demand for wage increase resulted in the gunning down of twenty-one Coal miners at Iva valley mine by their employers on 18^th November 1949. THE THEN British government set up a commission of inquiry headed by Sir Fitzgerald. This commission recommended that independent body been set up to manage government established business. In 1950 by the ordinance No.29. The Nigerian Coal Corporation was born”

Iwu (1990) went further to state that” the Nigeria Coal Corporation was then managed by the British was charged with the responsibility to prospect, mine, treat and market Coal and Coal by products in Nigeria. However, it was the shooting of the twenty-one (21) coal miners in Enugu that awakened the spirit of nationalism which subsequently gave birth to Nigeria’s independence in October 1960. The Coal industry gave rise to the first set of industries in Nigeria besides providing all the energy requirements for the nations premier industries, Coal became one of the major foreign change; earners for the then British colony.

The principal consumers of Coal are: The cement factories construction companies and overseas market

AIMS AND OBJECTIVES OF THE STUDY

This study on the production of Coal in Enugu has the following objectives.

Estimation of the trend on production of coal for the past decade (ten years)
Determination of the seasonal influence on production of coal for the past decade (ten years).
Determination of the cyclical and irregular variation (if they exist).
Forecasting on the expected irregular of the production in future say one year ahead.

SCOPE OF THE STUDY

The analysis will be confined to the Coal production data covering 1990 to 1999 at the Nigerian Coals Corporation Enugu. It would study the growth pattern in coal production for the period under study.

What informed the choice of this period 1990 to 1999 is that it was in 1985-89 that then federal government decided to rehabilitate the Coal industry. Thus, the study will reveal how well the coal industry has some in terms of production and the future prospect.

The data for this analysis are categorized into monthly output of coal these are the daily output of Coal it is weighed in the factory. Measurement is in tones and it is cumulated at the end of the month to gives the figures being used for the study.

LITERATURE REVIEW

COAL:

Coal is a combustible rock which has its origin in the accumulation and partial decomposition of vegetation. Okafor (1981) described coal as “ a hard block mineral substance that burns and supplies heat and from which Coal gas in made” He went further to state that “it is formed out of decomposed plant matter for over hundred of thousand of years:.

The Coal in Nigeria was formed during the cretaceous period about 120 million years age, by the acting of pressure and heat on decayed vegetation. The coal reserves in the country are estimated to run into billions of tones.

Iman (1990) stated that “the total coal reserve in the country is over 2.7 billion tones and of which 600 million tones have been proven” Ali (1996) also stated that “with an estimated reserve of 2.75 billions tones deposited in 13 states viz, Enugu, Kogi, Edo, Anambra, Plateau, Benue, Imo, Abia, Ondon, Bauchi, Delta, Taraba, and Adamawa states. Nigeria coal has unlimited potentials for export”

Coal is classified into four main divisions usually, referred to as ranks depending on appearances and properties.

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The four main ranks are:

Lignite
Sub-bituminous
Bituminous
Anthracite

The great diversity of form and chemical composition among the coal ranks is due to principally to the essential differences in the plant material from which they have evolved.

Nigerian coal corporation information manual (1997) described Nigeria coal as being mainly sub-bituminous steam coals with low sulphur and ash contents.

They are characterized by high colorific value and high volatile components and are found to be environmentally friendly for this reason, Nigeria coals have great potential for export with current expert demand standing at 15 million metric tones per annum”

Coal can be minded by either surface coper pit or open cast or underground system. Surface mining consist essentially of removing the overburden this exposing the mine and then extracting the coal. The system is being adopted at our Okaba Coal mine Access to underground mine is either by “shaft” or Adit. A shaft may be a rectangular or circular hole driven from the surface to the coal seam of reason able size to allow the use of equipments for conveyance of both men and materials shafts are not used in Nigeria Coal fields. The methods of working horizontally or moderately inclined seams are known as Adit method.

Iwu (1990) observed that “a high incidence of extractable waxy and resinous materials make Nigerian Coal more amenable to utilization in the chemical industries especially as source of resins, plastics and aromatics. “Nigerian Coal are not only useful in chemical industries, it can also be used in thermal power station for electricity generations as domestic fuel as alternative to fire word thus ensuring a stop to deforestation with the consequent desertification and soil erosion as metallurgical coke for iron and steel industry.

The Coal industry has had one of the most cheques of histories in Nigeria. It was at one time one of the major foreign exchange earners in the country but in the recent past has not made any significant input t the economy.

Iwu (199) summarized the factors that contributed to the deteriorated state of the Coal industry as follows.

“The civil was of 1967 to 1970 which left all the coal mine shut down flooded and all the equipment dilapidated.
the rapid development and total dependence in oil industry and latterly the has industry in preference to coal for all the entry needs of the country.
The growing concern on the environment at impact of fossil fuel utilization especially coal.
Lack of conscious, co-ordinated and concerted effort between the various arms of government toward an integrated development of the mineral resources in the country.
There is not yet a comprehensive energy policy for Nigeria, which will stipulate strategy for developing various energy resources and rationalization of energy production and distribution to ensure a balanced energy mix for the country.

Inspite of all these problems, it is clear that the enormous potential of Nigerian coal is unquestionable.

Onu (1997) observes that “the annual demand for Nigerian Coal at the export market is 120 million tones while domestic demand for it stand at 170 million tones” The coal industry can, if properly harnessed generated the much needed foreign exchange in billion of Dollars for the country. It is note worthy that the present administration in recognition of this is decidedly playing a vital role to ensure that coal is re-integrated in to the energy matrix of Nigeria, through increased production and export as well as large scale utilization.

TIME-SERIES ANALYSIS AND APPLICATIONS:

Montgomery and Lynwood (1976) stated that “a time series is a sequence of observations on a variable of interest. The variable is observed at discrete time points usually equally spaced.

Mordi (1992) defined “time series as an arraignment of statistical data ordered according to the fines of its occurrence in data classified chronologically. “Thus a collection of numerical values of a particular variable listed in chronological order is known as time-series. The record of months scale and production of a company over a number of months or years, the schools daily attendance, amount of annual rainfall over a number of years, the weights of an animal record at different stages of growth are all examples of time series. the time can be days, weeks, months, years, decades or even seconds.

Ifeagwu (1992) states that “time series involves classifying and studying, the patterns of movement of the values of the variable over regular time. It enhances under standing of the past and current pattern of changes. It provides dues about future patterns which aid in forecasting and such information is needed by researchers and policymakers”.

Spiegel (1972) and Nwabuokei (1986) observed that the characteristic movements to time series may be classified into four main types. Often caked components of a time series.

Long term or secular movements: refers to the general direction in which the graph of a time series appears to be going over long interval of time.
Cyclical movements: refers to the long term oscillations or swings about trend line or curve. These cycles, as they are sometimes called May or may not be periodic is they may or may not follow exactly similar patterns after equal internals for time. In business and economic activity, movements are considered cyclical only if they recur after time intervals of more than a year. An important example of cyclical movement is the so called business cycles representing intervals of prosperity recession, depression and recovering.
Seasonal movement: refer to the identical or almost identical pattern which a time series appear to follow during corresponding months of successive years such movement are due to recurring events which take place annually, as for instance the sudden increase of departmental stores sales before Christmas.
Irregular or random movement: refer to those sporadic motions of time series due to chance events such as floods, strikes, elections etc. Although it is ordinarily assumed that such events produce variations lasting only a short time, it is conceivable that they may be so intense as to result in new cyclical or other movements.

Time series analysis involves the decomposition of a series into the fundamental trend (Tt), seasonal variation (St), cyclical variation (Ct) and irregular variation (It) Components on the bases of three possible models named the additive, multiplication and mixed models.

Meclave and Benson (1988) noted that the difference between these models is:

In the additive model, all the components are treated as residuals and are expressed is the original units while in the multiplicative model, only one is the trend is expressed in the units of the original data seasonal and cyclical components are treated as relative or percentages whose average value is 100.
The word “additive” signifies lack of interaction effect among components. It is therefore here assumed that the valve of one component does not effect and is not affected by the value of the other components. the multiplicative model implies mutual dependence among components in an algebraic sence i.e. it is assumed that both seasonal and cyclical fluctuations are functions of the trend.
In the additive model, seasonal variation remains constant as trend increases, while in the multiplication model the ratio of seasonal to trend remains constant i.e. seasonal variation increase in magnitude as trend increases. This shows that we can distinguish the additive model from the multiplication model by observing the effects of the trend values upon seasonal fluctuation and cyclical variations. They observed that although the additive model assumption is very true in some cases, that the multiplicative assumption characterizes the majority of economic time series. Consequently, the multiplicative model is not only considered the standard assumption of time series analysis.

It is more often employed in practice than other possible model. Time-series analysis has wide applications and cuts across most human endeavour more especially the business and economic aspects.

Ifeagwu (1992) adopted Time-series analysis on the price of major foodstuffs in Imo State from 1985 to 1989. He adopted the multiplicative model in general and used the last square method in estimating the trend, ratio to moving average method in estimating the seasonal index and also the cyclical and irregular components. In the study, he found that prices of major foodstuff have an increasing trend. His projections also show possible increases in prices of major foodstuff in Imo State.

Bulus (1992) took a study of property crime in Plateau State from 1985 to 1990 using the time series analysis. He found through trend estimation by least square method that property crime is on the increase while the seasonal analysis did not show significant seasonal influences.

He used the ratio to moving average method in estimating the seasonal component. His prediction indicates possible increase in property crimes.

Generally, h adopted the multiplicative model in his time series analysis.

Nwafor (1991) in a study on case of juvenile delinquency in Anambra State used the time series analysis. In his trend estimation by method of least square he found the delinquency trend to be on the increase and persons between the ages of fourteen and seventeen to be more delinquent. He used ratio to moving average method in estimating the seasonal index. Multiplication model was adopted in his time series analysis.

Egbosimba (1997) in a similar study on case of juvenile delinquency in Enugu found delinquent to have a constant trend and persons between the ages of fourteen and seventeen to be more delinquent. She also used the multiplicative model in her time series analysis.

Obi (1997) in this study of monthly water supply and revenue recovered at Onitsha Anambra State used time series analysis employing the multiplicative model. He the estimated the trend by least square method and found water distribution trend to be down ward or decreasing instead of being constant or increasing. Using the ratio to be in April an least in October.

Nwogwugwu (1997) used time series analysis on the study of Naira exchange rate vis-à-vis the dollar from September 1986 to December, 1995. He estimated the trend using three different methods: Least square, moving average and exponential smoothing methods as best method for estimating the trend because of its minimum variance property.

The least square method as second best while the exponential smoothing method as the last of the three methods. He used the ratio to moving average method to estimate the seas oral index which was adjusted and used to deseasonalize the data. The trend equation obtained was used in extrapolation in order to predict future values.

From the above literature, it is clear that time series analysis can be adopted in virtually all fields of human endeavour so long the data are collected in specified time intervals or chronological order. Hence, it will not be out of place adopting time series analysis in this work.

Time series analysis is consistent and in line with our original aims, and making prediction on production and sales of Coals in Nigeria Coal Corporation, Enugu.

More so, our data as obtained are chronological order

CHAPTER TWO

DATA COLLECTION

The conceptual variables appropriate in the analysis of the work are known from the definite specifications made in reference to the topic. The variables are production of Coal.

Secondary data were used for the analysis. The source of data was the official records on production in the administrative offices (production departments) of the Nigerian Coal Corporation, Enugu. The production departments monitor an keep records of production on daily and monthly basis. For the periods under study (1990 to 1999) the monthly totals for production in metric tones were extracted from the record books for use in this study.

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