MEKELLE UNIVERSITY
COLLEGE OF BUSINESS AND
ECONOMICS
DEPARTMENT OF ECONOMICS
UNEMPLOYMENT PROBEMS
IN RBAN ETHIOPIA
(A CASE
STUDY OF MEKELLE)
A research proposal
submitted in partial fulfillment of the requirement for the award of Bachelor
of art degree in economics
By: Binyam Araya
ID No: CBE/UR 0556/02
ADVISOR: Girma Barhe (MSc)
June, 2012
Mekelle, Ethiopia
ACRONYMS
CSA= central static authority
ILO=International labor
origination
LFOSBCSA= Labor Force Survey by
Central Statistical Agency
NGO=non-governmental organizations
OCED =organization for
economic co-operation and development
LDC= lower developed countries
MOLSA=ministry of labor and social affairs
Abstract
Unemployment had been a serious
problem of international economy from
the period of great depression where higher
level of unemployment existed in the world .the present study was under taking
to find what cause and consequence of unemployment in Tigray region ,focused
that unemployment in Mekelle city is the serious problem in finding of jobs.
The major time being of the research,
include the characteristics (compositions) and the structure of unemployment of
the study area cause of unemployment some social and economic political
consequence of unemployment.
Acknowledgement
First and for most almighty God ,the
provider the all knowledge for going me the opportunity to successful completion
thought my paper work I would like to
express my sincerely thanks to my advisor Girmaybarhe (MSc) for his constructive goodness advice and
fairly full suggestions and comments which help me to organize the paper at
this form.
I would also like to express my deepest
gratitude to my family to brother and sister especially for helping me by pray
and morally .Last but not least, I would like to thanks to all my friends that
extend that me to for the paper accomplishment of the research paper.
Table of Contents
Chapter one
1.1 Background of study
1.2 Statement of the
problem
1.3 Objective of the
study
1.4 methodology of the
study
1.4.1 Data collection method
1.5 Significance of study
1.6 scope of the study
Chapter two
2.1 Theoretical
literature review
2.1.1 Definition of
urbanization and unemployment and types
2.1.5 Theories of unemployment
2.1.3 Special
Features of youth unemployment
2.1.4 The Magnitude and Nature of urban Unemployment I n
Ethiopia
2.2 Empirical literature
2.2.1 Unemployment in Ethiopia
Chapter 3
3. Data analysis and Presentation of Results
3.1 Back Ground
Information of Respondents
3.2 Causes of
unemployment
3.3 consequence of
unemployment
3.4 Possible solution of the Urban
Unemployment Problem
Chapter four
4. Conclusionand recommendation
4.1 Conclusion
Chapter
one
1.1 Background of study
Now many developing countries are unique
combination of massive rural urban population Movement stagnation of
agriculture productivity and growing urban rural unemployment is one of the
critical socio economic problems facing the least developing countries like
Ethiopia While the labor force growth is adequate to observe labor market
entrants as result youth are more
affected by unemployment. according to the international labor organization
(ILO) is defined as the pool of above a specified age that are without work but
seeking work and available for Work during period of reference. All the three
condition must be present for a person to be considered as unemployed. The
problem of youth unemployment is high in May 2010 especially Tigray region
youths unemployment is 18,2%,for male 10,6%and female 25,7% ,Addis Ababa
29,9%,for male 17,9%and female 36,1%and Amhare
region 15,7%for male 8,9% and female 22,8%(CSA April 2004-May 2010) . The rapid population growth
and high level of rural urban migration contribute to high level of Total
unemployment population is 1,653,685 which female 1225,770 and male 427,915
according to this urban area 894,177 and rural area 759,508 (unemployment by
gender and age by of (CSA2005) .Low returns to labor as well as high
unemployment indicate poverty. Which in turn makes difficult to invest in
education and healthy that would increase a person productivity and economic
development .unemployment youth people tend to concentrate urban area the
social aspect of the problem lies in the association of unemployment with
social exclusive and sense of hopelessness. The inadequate employment situation
of youth has a numbered of socio economic, political and moral consequences
.unemployment implies the failures to make use of important factors of
production for fostering economic growth.
1.2 Statement of the problem
Most of the time major problem faced
by the people is the problem of unemployment and urban unemployment of development,
population growth has a great impact for the expansion of urban unemployment
and rural unemployment, specially this problem has been seeking in lease development. It creates economics and social problems that
prevent development become stronger (Todaro,1994).Unemployment is the macroeconomics
problem that affects people most directly and seriously, for most people, the
loss of a job means a reduced living standard and psychological problem. It is
no surprise that unemployment is a frequent to piece of political debate and
those politicians of the claim that their proposed policies would help create
jobs (Mankiw, 2000). In 1950 Ethiopia had a population 15 million in 1990 it
had an estimation and population of 63 million out of which 52 million live in
rural area, the reaming in urban area with population projection to be 169
million people in the year 2050,
Ethiopia will be the 19th
the most populations Country in the world and second in Africa after Nigeria
(knife,2000).The number of rural urban migration and hold tremendous
implications for the proportion of those who will be entering the working age
group can be affect there sample size. Similarly in Mekelle city the problem of
population growth and underemployment growth is since in 1995 Mekelle had
population projection of 100,508 in 2009 had an estimated. population
projection of 193,473 out of which 108,583 are working age population with
populations with population projection to be 202,162 in year 2010 .Mekelle will
have 112,512 working age population (CSA2005 population projection of Tigray region).Similarly,
in Mekelle city The problem of population growth and unemployment growth is
seen in 1995.Mekelle had population of 100,508 in 2009 had an estimated population
projection of 193,473. Out of which 108,583 are working age population with
population projection to be 200,162 in year 2010. Mekelle will have 112,512
working age population (c.s.a population projection of Tigray region).From
70,005 economically active population local unemployment in 2005 in 15,107 of
which 8997 are female in this year unemployment rate for male and female is 18,8
and 24,6 respectively in the same year unemployment rate among 15-19 age group
,20-24 age group and25-29 age group are 27% and 24,55 respectively (CSA 2005)
now day it estimated ,
That about 200,000 populations live
in Mekelle .Among these population 40% are unemployed (CSA ‘1997) such crucial
problem limited the study to look at problem of both population growth and
their consequence on socio economic activities of the city. This all figures
show the effect of growth of population to unemployment problem in rural and
urban area .most of the researchers concerned on cause, problem of population
growth city, push, and pull factor of city.
I will want to show or paper is found out the dimension, cause effect
and consequence of youth unemployment in urban area specific in Mekelle town.
1.3 Objective of the study
General objective is unemployment
problems in urban Ethiopia (case study in Mekelle city)
The specific objective can be
1.
To analyses the causes of unemployment
3 .To examine the consequences
of unemployment problem In Mekelle town
4. To come up with some possible
solutions for the problem
1.4 methodology of the study
1.4.1
Data collection method
This study was as use primary source
of data and In this type of data collection the
researcher was use questionnaire because questionnaire is the most .Popular
sources of data gathering instrument the questionnaire was having moved closed
ended types of questions, this because closed ended types of questions was
standard answers and can be compared from person to person. In the study, the
researcher uses simple random sampling technique, these because in simple
random sampling each unit of the population is giving an equal chances of being
selected male and female. The researchers
took 45 respondents of the town with skill and without skill .They are 15 men
and 25 women unemployed .the total numbered in town are estimated about
193,515. The reason is manageable and
financial and time constraints in the year of 2011 out of 5950 male youth
unemployed ,the remaining are 11697 female youth unemployment .there for 45
unemployment people are randomly selects
from 25 Keble and 7 woreda. participated in giving information about the study respondents are select from
seven Keble 01,11,03,18,19 ,14 and 16 ,each Keble has select tow mane and four women only one keble has
selected tow man there female .the questioner distributed the version of
Tigrigna .
The study was analyzing the data
through tabulation and percentages. Most of respondents answered there question
are change in to numbered and percentage. Primary data is collected from
individual unemployed person and analyzed by using descriptive methods.
1.5 Significance of study
The study is significant for several
reasons, among other to mention too few. The study deals with the problem of
rapid population growth and unemployment .which is the main problem of
development ,therefore such study may help policy makers and other respective
on their offer to achieve better resource allocation in general and reducing
unemployment particular .
1.6 scope of the study
As regard to the coverage or scope
of the study, urban area with a particular emphasis of Mekelle city is taken as
a point of reference .among the major played youth in city due to different
reasons such as migrating from the rural area to get job and education service,
because of the concentration of these service mainly concentrate in place like
Mekelle.
Chapter
two
2.1 Theoretical literature review
2.1.1 Definition of urbanization and unemployment and types
Urbanization is the increase in the
proportion of people living in town and cities. A cause of urbanization occurs
because people move from rural areas (country side to urban area, towns and
city).this usually occurs, when a country is still developing.
The three main causes of urbanization in low developed countries since
1995 are
1. Rural to urban migration is
happing massive scale due to
population pressure and lack of resources in rural areas this are “push
factors”.
2. People living in rural area are
“pulled” to the city often they believe that the standard of living in urban
area will be much better than in rural area usually wrong people also hope for
well-paid jobs.
3. Nature increase caused by a
decrease in death rates while birth rate reaming high. Since 1950 urbanization
has slowed in more economically developing countries and now some of the
biggest city are losing population ad people move away from the city .to rural
environments. This known counter urbanization. Counter urbanization is the movement
of people out of cities to the surrounding areas, since 1950 this Process has
been occurring in more economically developed countries.
Unemployment is a situation in which
workers are, jobless because there, is no work for them to do each if they are
prepared because there is no work for. Them to do each if they are prepared to
and would accept lower wages .the
measurement of unemployment is based on the following three criteria’s that
must be satisfied simultaneously “without work” current available for work and
“seeking work” the standard definition o
f unemployment is based on the “seek work” criteria that can be interpreted as activity or
efforts undertaken By prior
.unemployment is measured by taking in to account the labor force which is the
sum of employed Plus that of unemployed
.those who are unemployed are without work but are actively searching for work,
the employed ones are those who are working at least one of hour in a week for
pay an unpaid work per week in family business (Mankiw 136-143)
UR =NU/LF*100
UR=unemployment rate
LF=labor force
NU =number of unemployment
Types
and cause of unemployment
Smith 2000 and most of scholars have
identified four types of unemployment with their respective cause.
1-seasonal unemployment; Is caused by both supply side and
demand side seasonal fertilities seasonally .variations in products Demand, such as seasonal fertilities, planned
to variations and the demand for labor assisted in the production Of that
commodity .production seasonality from the supply side and such as has tin of
agriculture produce Lands to the seasonal variation in above demand(Smith
2000).
2-
Cyclic unemployment or demand deficient ;Is caused by unemployment arise due to inadequate effective
aggregate demand .gross Domestic product may not be as high potential output of
demand shrink due to expectation with Discourage private investment spending,
low government spending or high taxes
,no private consumption. Low exports, net import, under demand deficient unemployment cyclic
condition. The number of unemployment worker for exist the number of job
vacancy or available jobs (Smith, 2000).
3-Frictional
unemployment; Caused
by lack of necessary skill for doing a particular job, immobility of labor,
breakdown of machinery ,Shortage of raw materials and change in technology of
product .the amount of friction of unemployment Depends on the frequency with
which workers change jobs, and the time it takes to find new once when Workers
are free to guilt their jobs. However, some frictional unemployment will always
present if economy at full employment (ibid).
4.
Structural unemployment: has caused by lack of knowledge on
the particulars of employers about the availability of workers or off workersabout
the availability of jobs. this is involves a mismatch between the workers
looking for jobs and vacancies availability .even though the number of
vacancies may be equal to the number of the unemployed ,the unemployed workers
look the skills needed for the jobs in the wrong part of the country take the
jobs offered (ibid).
2.1.5
Theories of unemployment
The four major theory of
unemployment has discussed of the following (Smith 1997.)
A-classical
theory of unemployment
main characteristic of this theory
is that the labor market force of supply and demand respond to change in the
real wages beginning and remaining too
high to allow the labor market to clear ,government wage lariat and trade union
are identifying as significant casual factor consequence ,unemployment in
the classical system realized up on markets not clearing ,the polices
recommendation forward from classical analyses of unemployment in that reduced
government regulation and reduces trade union power to make labor competitive
in the market(smith 1997.)
B-
neo-classical theory of unemployment
The neo- classical economical school
focused on choice on techniques. That a best cost of minimization boundless of
factor production, thus Approach a
voids focusing on the social possess which determines incorporation of labor
power in to production; labor and capital Are, reviewed as factor price wise,
the relative cheapens of capital in relation labor on the terms of technological
consideration related to the non –sustainability of the capital for labor or
what has been dominated of production problem. (ibid)
C-
Keynesian theory of unemployment
Keynesian economics emphasize the
aggregate condition of economic and labor force disequilibrium that emerge from
the instability of market force re
stabilization full employment equilibrium
Keynesian recognized some unemployment on job to other (Schervish 1983).
Never tresses in the work of the great person keynes(1936).Formulated his
history of involuntary .unemployment in which workers are an ability to located
job even when offering to work at the labor lags because the demand for goods
and services land to behind to the capacity of
economy to produce them (ibid)
D-Marxist
theory of unemployment
Marxist analysis like the Keynesian
approach is at the aggregate level “in the Marxist traditional, unemployment
derives from the Marxist traditional ,unemployment derives from the general and
normal anarchism of the market economy in which what power beneficiary for
an individual firm is distinction for
the system as whole “this individual firms
maximize profit and enjoy their
must efficiency production at level of employment that fails to provide employment
for forces as whole (Scherivish 1983)
2.1.3
Special Features of youth unemployment
The figures on youth unemployment
conceal crucial differences across different groups of youths, such as urban
youth, young women and those with lower educational attainment.
A.
Urban vis-Ã -vis rural unemployment;the preceding discussion of youth unemployment conceals
crucial differences across rural andurban areas. Like the entire population,
the majority of youth live in rural areas. It was shown above that rural
participation rates were much higher than urban participation rates. Open youth
unemployment appears to be characteristic of urban centers, and rose sharply
between 1984 and 1994. In contrast, the youth unemployment rate in rural areas
was only 0.7 per cent in 1984, 1.2 per cent in 1994 and 7.2 per cent in 1999.
These findings are consistent with those of Gebreselassie and Krishnanz (1999)
who report sharply rising youth (15-29 years old) urban unemployment between
1990 and 1997. We are reminded that unemployment is typically not an option in
rural area
B.
Unemployment by gender;Women
have lower participation rates and face higher level of unemployment compared
to theirmale counterparts. Empirical evidence indicates that the unemployment
rate among young women (20-24) was 38.7 per cent while it was only 23.2 per
cent for young men in that age category during the same year.31 These figures
stand in contrast with the general trend for the Sub-Saharan region, where the
unemployment rates for young men (23.1 per cent) exceed those for young women
(18.4).32 The unemployment rates for the total labor force, youth and urban
youth, disaggregated by gender, are. The data indicate that women experience
higher levels of unemployment than their male counterparts in Ethiopia. This is
consistently true for all working age groups (10 years and above), for all
youth (both urban and rural youth) as well as for urban youth across all
reference periods. This coincides with the findings on rural vs. urban
unemployment. Unemployment rates have increased more for women than for men
over the five years prior to 2004. In 1999, the youth unemployment rate among
women was 17.3 per cent, compared to 6.8 per cent among men. The urban female
youth unemployment rate was 43.7 per cent compared to 29.4 per cent for urban male
youth. This concurs with the findings from MOLSA data on registered job
seekers. In 2003, female job seekers accounted for 56 per cent of the total
registered job seekers.33 this upward trend in unemployment is, in part, a
consequence of the increased participation of women in the labor force and in
education.
C. Unemployment by educational levels; It has often been argued that
unemployment is high amongst educated youth in developing countries. The
empirical evidence is mixed, however. O’Higgins (1997, 2003) reviews the
experience of various countries and argues that there is no strong evidence to
support the existence of widespread educated unemployment in developing
countries. The rates of return to education are substantially higher in
developing countries than in the OECD, and all evidence counters the notion of
an impoverished and disadvantaged group of educated young people in developing
countries. For Ethiopia, it is clear from the numbers in figure 15 that there
are higher levels of unemployment for those with lower levels of education. The
same picture emerges for youth. The figures reveal some unemployment amongst
educated urban youth. Highly educated (beyond Grade 12) unemployment
constitutes only a minimal proportion of the total unemployed in both rural and
urban areas. This is also reflected in the data from registered jobseekers data
registered unemployed people, 14,701 (62 per cent) had some form of secondary
school education. A recent survey of unemployment in urban areas reveals an increase
in unemployment rates of young people, who have attained high school or a
higher educational level. This could be due to a mismatch between the type of
education provided at schools and the requirements of the labor market.
D. Transitory vis-Ã -vis structural
unemployment: the
high incidence of youth unemployment, its persistence and the long job search
time involved lead to discontent and disillusionment among the youth. Moreover,
long-term unemployment has Deskilling and scarring effects. Two alternative
theories on structural unemployment among youth exist .The first argues that
youth face a higher incidence of long-term unemployment than adults.
The competing argument is that the
unemployment of young people is relatively transitory. Youths experience a
higher level of unemployment rate compared to older people, but this is because
of the tendency of youth to shop around in the labor market. This does not last
very long, however, and youth would eventually have a lower average duration of
unemployment than older people. 1981 indicate that employment in the government
(public) sector accounted for more than 94 per cent of formal sector employment
while the share of private sector employment was less than 6 per cent. Thus,
employment opportunities largely depended on the performance of the public
sector during the last regime. Studies, however, indicate that increases in the
employment opportunities in the government sector were extremely low compared
to the annual increase in the labor force (ILO 1986). With the increase in the
role of the private sector after the downfall of the communist military regime
in 1991 and liberalization of the economy, employment in the formal private
sector is expected to show some growth. One of the thrusts of the strategies of
the Sustainable Development and Poverty Reduction Programmer (SDPRP) of the
current Ethiopian government is in fact ‘strengthening private sector growth
and development especially in industry as a means of achieving off-farm
employment and output growth. The two major public employers are the industrial
sector and the civil service.
The industrial sector consists of
mining and quarrying, manufacturing, construction, electricity, gas and water
as well as construction. The largest employer out of these sub-sectors is
manufacturing, in which more than 1.1million people worked in 1999. Moreover,
youth are equally represented in manufacturing compared to establishment of
government offices at regional, district and lower tiers. Owing to the
decentralization process, the size of the civil service has shown significant
growth in the 1990s. Total employment in the civil service grew, on average, by
6.61 per cent per year between 1995 and 2003, providing employment
opportunities to 388,903 people in 2003, which is nearly four-fold the employment
in manufacturing. Employment of youth aged 18-22 grew, on average, by 4.29 per
cent per year between 1995 and 2003, while employment in the age group 23-27
grew by 7.35 per cent per year. Moreover, both age groups (18-22 and 23-27)
together accounted for more than 26 per cent of total employment in the civil
service .More than three-quarters of youth work in agriculture, which is
characterized by low productivity and low per capita income. Employment in the
industry sector generally comes with better working conditions as the sector
tends to be formal and protected. Finally, the working conditions in services
are mixed depending on the type of work.
The employment pattern of the youth population
is comparable to that of the population as a whole. In 1999, compared to the
entire population, a slightly lower percentage of youth worked in agriculture
and industry, whereas a slightly higher percentage of youth worked in services.
It should be noted that agriculture is characterized by low productivity and
low income, several factors could account for this. Firstly, a slightly higher
proportion of youth live in urban areas. Thus, youth might have a higher propensity
to migrate than the overall population, seeking employment in services and in
industry in urban areas. What is more, the growth in services is likely to also
include growth of services in the informal economy.
2.1.4
The Magnitude and Nature of urban Unemployment I n Ethiopia
Unemployment
and underemployment continue to be serious social problems in Ethiopia Despite
some improvementsin recent years. This is mainly a result of rapid population and
labor force growth and limited employment generation capacity of the modern Industrial
sector of the economy. The national rate of unemployment, which stood at 3.6% in 1999, declined to 2.6% in
2005. Open unemployment is not a common problem in rural areas. Underemploymentdefined as the
proportion of workers who are "available and ready to work more hours” is
a phenomenon of rural areas. However, this does not mean that underemployment
is not a problem in urban areas. According to the Labor Force Survey by Central
Statistical Agency, underemployment is highest amongMaleyouth and prime-age
adults, and higher rural areas. In particular, the underemployment rate of
urban male adults aged 25 to 39 stood at 20 to 25 percent in 2005.
The underemployment rate declined
beyond the age of 40 at national level as well as for urban and rural residents
(CSA, 2006). High urban unemployment rates remain a major policy challenge.
According to the 2006 Urban Employment and Unemployment Survey, urban
unemployment has consistently declined from 26.2 percent in 2003 to 22.9
percent in 2004 and further to 16.7 percent in 2006. Unemployment rate has been
consistently higher among females than males across the years, 35.2% in 2003,
30.6% in 2004 and 22.1% in 2006. The corresponding rates for males stood at 17.6%,
15.8% and 11.5%, respectively. Urban unemployment, particularly youth
unemployment being growing areas of concern for the Government, recent survey programs
have been intended to cover only urban areas given that unemployment is an urban
rather than a rural phenomenon. Rural-urban migration is considered to be the
main contributing factor to urban population growth in Ethiopia. There is a
widely shared view that rural-urban migration
In Ethiopia is increasing and is
driven by the dwindling amount of farmland available to the rural population
and also by the low level of agricultural productivity. The rural-urban migration
has seasonal behavior and is considerable in different parts of the country. The
majority of the employed labor force is found in the agricultural sector where earnings
are low for the labor force to come out of poverty. A large size of the labor
force is also engaged in the informal sector where underemployment, poor
earning, and lack of institutional protection are the characteristic features.
These realities nurture the problem of working poor in Ethiopia, making poverty
more a result of poor earnings than open unemployment. According to CSA’s 2006
Urban Employment/Unemployment Survey, looking at the employed population by
major occupations, nearly three-fourths of urban employed population of the
country is engaged in three almost equally important major occupations:
services, shop and market sales workers (25.5 percent), elementary occupation
(23.6 percent), and craft and related activities (22.1 percent). Professionals together
with technical and associate professionals make up about 10 percent of the employed
population while those persons working in legislator and senior officials took
the smallest share constituting a mere 2.5 percent of the total employed urban
population of the country .
According to the same survey, looking
at the distribution of urban employed population by employment status of a
person (at all-urban level), the bulk of employed population was constituted by
self-employed (42 percent) followed by those employed by government and public
enterprises (19 percent) and private organization (18 percent). As can be seen
from Table 1.2, paid employees altogether constituted about 45 percent of the Total
working population. Paid employees consist of employees of government, public Enterprises,
private organization and non-governmental organizations (NGOs) and Domestic
employees. Unpaid family workers have a substantial share (10 percent).
According to existing studies, more
than 50 percent of urban employment is accounted by the informal sector.
According to the Informal Sector Survey (CSA, 2002), thetotal number of persons
engaged stood at 997,380 of which 799,353(80%) were operators and the remaining
198027(20%) employees. Women dominate in both categories (operators and
employees). The share of women in the total number of persons engaged, operators
and employees stood at 60%, 59% and 65% respectively. As it stands now, the
informal sector is not well integrated with the formal (organized) sector. A
vertical and horizontal linkage does not seem to exist within the respective activities
of informal sector operator.
2.2 Empirical literature
employment problemhas pointed out in
his economic development book that historical the economic development of
western Europe and north America has often been described in terms of the
contentious transfer of economic activity and people from rural to urban area (Todaro,
1994).both within and between countries .as urban industries expanded new
employment opportunity were created and over the same period, labor saving
technological progress in agriculture reduced rural man manpower needs. The
combination of the above two phenomena made it possible for western nation
undergo a systematic rural to urban transfer of their human resources. On the
basis of western countries experience
many economists concluded that economic
development in third world can be achieved
using transfer of manpower form
rural to urban by promoting rapid urban
industrialization .whereas when we come to the existing situation of third
world countries the figure is different from that of western countries .
According to O’Higgins, 2001
globally.the problem of youth unemployment is increasing assuming higher
proportions than the adults. recently ILO estimate suggest that at least 60
million young people are without a job and that youth unemployment rates are on
average three times as high as adult rates (ILO, 1998).in countries of the
organization for economic co-operation and development (OCED) the unemployment
rate of the 15-24 group in 1998 was 12.9% more than double the figure for
adults which stood at 5.7% around 10 million young people are less figure are
less widely available for developing countries. according to the demographic
and health survey (2000), tow –third of women and 84% of men who live in urban
areas have been to school, while 41%of women and 61% of men who live in urban
area have reached to secondary level of education .but for more than 80% of
Ethiopia’s population that live in rural areas, educational attainment is
substantially lower, with 84% of women and 58%of man having never attended
school, only 2% of women and 7% of men have
attained secondary level schooling in rural areas .residents of the heavily urban areas of the country
like Addis Ababa, Dire Dawa and the Harare
region have higher levels of educational attainment especially at the secondary level or higher.Ndegua and powelson
1973 in most developing countries the working age population has roughly
doubled in the past 25 years. it will double again in the next 25 years ,this
growth clearly intensifies pressure on employment and the amount of investment
available per labor market .entrants, worst of all ,in most of the LDCs .40 to
50 percent of the population is below 15 years of age if the economically
productive age bracket is taken as 15 to 65 years. the percentage of population
in this category is considerably less in poor countries .this “bottom heavy “age
structure of population result in a higher ratio of dependent to adult workers
(Meier 1995).the implication is that those working must share their incomes
with those who don’t work and this leaves less for saving and accumulation
moreover, with high population growth, a good deal of the national income is
spent on the expansion of social services.
Which do not directly generate
productive capacity Ghai (1988).in developing countries although, the figures
are less widely available evidence.From variety of source indicates that there
has been deterioration in employment situation,in Africa Asia and Latin America
no less than 40% to 45% of the work force is unemployed /underemployed (Farooq,
1995).it is important to note that the in those countries is deeply rooted in
their socio economic structures including the demographic base and education
and training system.
2.2.1
Unemployment in Ethiopia
In this section, the Ethiopian labor market and studies on
unemployment will be reviewed briefly. The following papers which are conducted
on the unemployment situation in Ethiopia will be discussed: Krishnan (1996) on
the role of family background for employment, Dendir (2000) on unemployment
duration, Astatike (2003) on youth unemployment, Serneels (2004) on the nature
of urban youth unemployment, and Haile (2008) on youth self-employment. The
World Bank (2007) has also prepared a comprehensive study in two volumes on the
urban labor market situation in Ethiopia. Ttowards growth and job creation in
the face of increasing poverty and labor supply in urban Ethiopia.Background (especially fathers
education)he report welcomes the government’s effort
Studies addressing urban unemployment in Ethiopia are relatively
few and most of those surveyed in this paper concentrate on youth unemployment.
Krishnan (1996) studies the role of family background and education on
employment in urban Ethiopia and finds that family strongly affects entry to
public sector employment but it is not significant in determining entry to lower
status private employment. Entry to public sector employment is also affected
positively by education while age (being older) positively affects being in the
labor force.
Dendir (2000) studies unemployment duration in urban Ethiopia and
finds that the mean duration is 3 years for completed spells and 4.7 years for
incomplete spells. Astatike (2003), using data from the Ethiopian Urban Socio
Economic Survey from 1994 to 2000, finds high urban youth unemployment in
Ethiopia with more than 50% of the youth unemployed. Between the periods
1994-2000 teen age youth unemployment increased and was higher for women. Those
from families of at least secondary school education are found to be affected
less according to this study.
Serneels (2004), using the 1994 Ethiopian Urban Socio Economic
Survey, studies the incidence and duration of unemployment in urban Ethiopia
emphasizing on the youth. According to this study, in the year 1994 highest in
the world with male unemployment standing at 34% and the urban youth unemployment
rate was even higher at 50%. Serneels indicates that mean duration of
unemployment is 4 years and those youth whose parents are civil servants have
shorter durations. It is also indicated that public sector was the top employer
hiring one third of the adult men. A negative relationship is found between
unemployment incidence and duration, and household welfare. There is evidence
that households reduce their savings and consumption to cope with unemployment.
With regard to job aspirations, well-educated first time job seekers who aspire
to well-paying jobs are more affected. On family background, Serneels concludes
that effect for labor market performance in urban Ethiopia. Ethiopia urban unemployment rate was one of the mothers
education may play a role but fathers education has strong Denu et al.
(2005/07) study the characteristics and determinants of youth unemployment and
underemployment in Ethiopia from 1984-2001. They conclude that the youth is
substantially affected by unemployment and significant differences exist within
the youth group across location (urban-rural), gender and education. The urban
youth unemployment stood at 7.2% while it was 37.5% for the rural, the latter
facing high rate of underemployment. Unemployment for the youth women was 17.3%
in 1999 while it was 6.9% for their men counterparts. Regarding education,
44.5% and 32.6% of the unemployed youth were illiterate or had only primary
education. The paper indicates that the private sector plays a huge role in
employment as a result of policy change by the current government to promote
the private
Sector as opposed to the previous government’s policy where most
enterprise was government owned. Using data from the Ethiopian Urban Socio
Economic Survey from 1994 to 2000, Haile (2008) studies the nature of self-and
finds that the young, the educated, those that migrate to urban areas recently
and those without parents in self-employment are less likely to be found in
self-employment.for the first the time in Ethiopia The World Bank (2007), with its report in two
volumes, acknowledges important improvements in urban unemployment between 1995
and 2005 though the labor market situation remained unchanged. According this
study, the rapid rise in the urban labor force creates pressure on the labor
market and it can be seen as both a challenge and an opportunity for the
Ethiopian government. The rising number of educated labor force entering the
market each year as a result of education expansion and internal migration
necessitate enhanced job creation in the country. Another feature of the
Ethiopian urban labor market indicated in this study is the increasing literacy
rate.
This is implicated in World Bank (2011) that the net primary
school enrollment rate in Ethiopia increased to 87.9% in 2010 from 68.5% in
2005. Low wages characterize Ethiopian urban labor markets although it differs
among the type of employers, sector and worker characteristics. Even though
females are relatively less skilled yet, the literacy rate and their participation
in the labor force is increasing. There is labor market segmentation with a
relatively wanted public sector and formal private sector, and a large number
of unemployed and a large informal sector with low wages and mostly occupied by
women. Women in urban Ethiopia are relatively more affected by unemployment and
they are paid lower wages (World Bank, 2007). As can be noted, many of the
studies surveyed so far have concentrated on youth unemployment in urban
Ethiopia and not many of them focused on general unemployment. The welfare
impact of unemployment in urban Ethiopia is also found to be less explored. generally it is difficult to measure
unemployment in less developed countries such as Ethiopia because of the lack
of reliable records and the existence of
various informal types of work ,however ,based on minister of labor survey and
numerous other analyses ,a general assessment of unemployment rate increase by
11.5 percent annually during the 1979
-1988 period .by 1987/88 there were
715065 registered unemployed Workers in thirteen –six major town .of those
registered 134117 ultimately found jobs ,living the reaming 580948 unemployed.
The
urban labor force totally 1.7 million in 1988/89 the ministry of labor
Indicated that government employed 523000 of those workers .the rest relied on
private employment or self -employment for their livelihood. According to the
government, rural unemployment was virtually nonexistent. A 1981/82 rural labor
survey revealed that 97.5 percent of rural labor force worked 2.4 percent. did
not work because of social reason and 0.1 percent had been unemployed during
the previous twelve month .however ,it is important to not that unemployment as
conventionally defined records only part of the story it lives out designed
unemployment and underemployment which
were prevalent in both urban and rural areas for instance The rural labor force survey found 50 %of
those working where unpaid family workers what is the important about
unemployment in Ethiopia a that with an expansion of labor force the public
sector with an all ready swollen payroll and
acute budgetary problems was likely to absorb more than a tiny friction
of those entering the labor market.
Chapter
3
3. Data
analysis and Presentation of Results
This chapter deals with analysis and
interpretation of the data the finding are present based on the data collected
from primary source .the selection start with presentation and analysis of
general characteristic of respondent followed by presentation, analyses and
interpretation of the data result to the research issue.
3.1 Back Ground Information of Respondents
As indicate in the previous
chapter ,respondent are unemployed ,who
are found in Mekelle city .from the total population that the town
questioner was distributed to 25 for
female and 15 for male youth
unemployment person ,the total questionnaire was to 40 youth unemployed persons the general characteristics of the respondent are illustrated in the
following table
As shown below ,the demographic
indicate as respondent unemployment
age among youth men are found in the age (15-19 ) 12%
and in age ( 20-25) 25 % the total youth male unemployment are 37% as the youth unemployment but the great part of unemployment rate covers by female ,age (15-19%)22.5% ,(
20-25)40% the total females unemployment
are 62.5%.
Table -1
Age
Category
|
Male
|
Female
|
Total
|
|||
Respondent in number
|
Respondent in percentage
|
Respondent in number
|
Respondent in percentage
|
Respondent in number
|
Respondent in percentage
|
|
15-19
|
5
|
12.5
|
9
|
22.5
|
14
|
35
|
20-24
|
10
|
25
|
16
|
40
|
26
|
65
|
Total
|
15
|
37.5
|
25
|
62.5
|
40
|
100
|
Source: primary source
Therefore, when we look the whole of
the Mekelle city unemployment is rate age category. Above 60% of men and women
are found in the age group of (20-24) the remain are covers under 40% .in
general the data indicates that female has higher experience than men level of
unemployment
Although this indicate as
the mostly high Youth employment
rates have fallen significantly, and many youth seem to enter the labor market
via low quality so Mekelle city tray to develop
this age groups change to join within labor force.
when we have seen from the
underline table-1 the marital status of
the Mekelle city respondent .most of the youth unemployed are singe (unmarried
)77.5% and the reaming has it is own
effect the .married 17.5%,household and divorce has 2.5% it has little impact on unemployment rate.
Table -2
Status
|
Respondent in number
|
Respondent in percentage
|
Single
|
31
|
77.5
|
Married
|
7
|
17.5
|
House hold
|
1
|
2.5
|
Divorce
|
1
|
2.5
|
Total
|
40
|
100
|
Sources: primary source
Most of unmarried or single person
has their own reason behind they haven’t work or the other means of to generate
income to manage their families and the can get enough money from their family
the remain house hold and divorce are the can get or thy depend friends and
family
The underline table-3 show as the literacy rate among Mekelle youth is low
from underline status proportion
to the illiterate youth population .from
the table the show certificate 2.5% ,male 2.5%
female zero and
elementary level 5% ,male none and female 5% it show as education level
of youth
first and second level of cycle has the less level of education
Table -3
Educational
Background
|
Male
|
Female
|
Total
|
|||
Respondent in number
|
Respondent in percentage
|
Respondent in number
|
Respondent in percentage
|
Respondent in number
|
Respondent in percentage
|
|
I never studied
|
-
|
-
|
1
|
2.5
|
1
|
2.5
|
Elementary level
|
-
|
-
|
2
|
5
|
2
|
5
|
Secondary level
|
3
|
7.5
|
5
|
12.5
|
8
|
20
|
Vocational school
|
3
|
7.5
|
8
|
20
|
11
|
2.5
|
Certificate
|
1
|
2.5
|
-
|
-
|
1
|
2.5
|
Diploma
|
4
|
10
|
6
|
15
|
10
|
25
|
Degree
|
5
|
12.5
|
2
|
5
|
7
|
17.5
|
Total
|
16
|
40
|
24
|
60
|
40
|
100
|
Source; primary data
as in unemployed most of vocational school finished 27% , female has 20%
and male 7.5% it show as female has more chance to get in this education .and
the diploma has 25% ,female get 15% and male10% and the
secondary level has 20%,male 7.5%and female 12.5%and degree 17.5% ,female
5% and male 12.5% so in Mekelle city women has more chance to get
education more than mal attend in
education this result could show as to
miss mach between the type of education
and requirement of labor market
.
The table analysis
the condition of unemployment
from their family background .most of respondents are government employee 30%, non government
employee 27.5% ,business men or women
22.5% and farmer 12.5% the reaming are
less factors like parentless 5%,
pensioner 2.5% this all respondent are their own side effect for unemployment problem in Mekelle .
Table
-4
Family
background
|
Respondent in number
|
Respondent in percentage
|
Farmer
|
5
|
12.5
|
Government employee
|
12
|
30
|
Non government employee
|
11
|
27.5
|
Business men and women
|
9
|
22.5
|
Pensioner
|
1
|
2.2
|
Pertness
|
2
|
5
|
Total
|
40
|
100
|
Source; primary data
As the empirical data indicate the most of unemployed men and women
their family background show as government employed and non government employee
for theses purpose the unemployed men and women haven’t worry about get a job,
because their family may be generate enough income for them .that why they
don’t worry getting work .the reaming respondent are not getting enough income
from their family. because of some of haven’t family and other are migrate from
rural to urban so this all things
are show as result of unemployment in Mekelle respondent
3.2 Causes of unemployment
From the underline tables
respondent result Show as not interesting to work so they have their own reason not interesting to work the figure show as the half of them are not knowing by this table ,why
not interested of respondent are not
explain their interest from the
underline table . they need to choose
others 55%,waiting for better job offer 12.5% and saw no possibilities for
advancement or work would required to many hours 10%the reaming tow are wages offer were to low and work would require too few hours.
Table -1
Reason
|
Respondent in number
|
Respondent in percentage
|
Wages offer were to low
|
3
|
7.5
|
Work would require to many
Hours
|
4
|
10
|
Waiting for better job offer
|
5
|
12.5
|
Saw no possibilities for
Advancement
|
4
|
10
|
Work would require too few
Hours
|
2
|
55
|
Other
|
22
|
5
|
Total
|
40
|
100
|
Source; primary source
Based on the empirical while finding a job is a
challenge, even having a job does not guarantee the means to escape
poverty. Wagesfor urban paid employees
are generally low, although significant differences are found across type of
employer, sector and worker characteristics. The employers that pay higher
media .Increased unemployed
labor force and not interested to work are positive relation of underdeveloped.
Which also raise challenges, particularly in terms of the expectations of youth?
The abolished the job guarantee for educatedan uneducated. There was evidence
that in the unskilled youth unemployment were not interested to work and
choosing work without enough experts has effect on unemployment in Mekelle city.
Unemployment in the developing
country has expanded day to day activities that why unemployment didn’t get the
solution stile not only in Africa even in Europe didn’t get the solution so there
is cause of unemployment .the table -2 show respondent answers .unfair
competitively environment in job
vacancies35%, on availability of job opportunities22.5% ,lack of capital to
start new business 20% and trained in a
field of study did not work with it 17.5 %the reaming are financial in
capability to purse farther education 2.5%.
Table -2
Reasons
|
Respondent in
Number
|
Respondent in
percentage
|
Non availability of job opportunity
|
9
|
22.5
|
Unfair competitive environment
In job valances
|
14
|
35
|
Lack of capital to start new business
|
8
|
20
|
Trained in a field of study did not
Work with it
|
7
|
17.5
|
Financial in capability to pursue
Farther education
|
1
|
2.5
|
Other
|
1
|
2.5
|
Total
|
40
|
100
|
Source; primary source
When we see in detail the great cause for the expansion of unemployment
in Mekelle city is because of unfair competitive environment, off course there
are some office responsible to give equal chance of for all of people to get
but most of are not interested to annoyed or post vacancy to all of people even
they post new vacancy so the cause of unfair competitive environment is
corruptions and bribery.
The other reasons for unemployment as the
respondent said non availability of job opportunity even there are many vacancies ,that are post
in the notice board ,but the fact is all
most vacancies are require ,work experience ,because of this requirement many
unemployment men and women are
segregated from participation .
Apart from the above reason lack of capital to
start new business is the great challenge for unemployment as we know that
currently most people are interested to start their own business (becoming self
employment) .because it have on advantages regarding to job security, flexible
working hours, give order instead on receiving order implement the idea what
you generate without any hesitation so people need to starter their own
business, but the question is lack or shortage of capital.
To sum up the reason what the respondent replay indicates that the
government should arrange all things depended on each reason, for example arrange
credit facility for unemployed to create their own business, amend vacancy
announcement based on the skills and professions instead of experience and on
Mekelle city respondents need to earn when they get work but yetthe
attractiveness of an employer and job quality is clearly multi-dimensional.
This goes beyond wages, and includes hours worked, and job attributes,
including occupational health and safety, non-wage benefits, employer’s
adherence to core labor standards, employer/worker affiliation to statutory
social security schemes, commuting distance, employment and earnings stability
and career development prospects Want to earn
Wage relativities mean and median
by skill category and type of employer .
Table -3
Wish to earn
|
Respondent in
Number
|
Respondent in
percentage
|
300-700
|
9
|
22.5
|
701-1300
|
6
|
15
|
1301-2000
|
9
|
22.5
|
2001-3000
|
5
|
12.5
|
3001-4000
|
11
|
27.5
|
Total
|
40
|
100
|
Source; primer source
The above table show as most of them are need to earn high level of
incomes like ( 3001-4000)27.5 % ,and some of them are wish to get the less
level income (
1301-2000),(300-700) 22.5% the reaming
are less to interested to earn low earning income (2001-3000)12.5 % and
(701-1300) 15%.
Unemployment person can have face
problem to start new business when look
the respondent have face problem finding job, self employed them self and it
show as result in percentage .most of them are face lack of getting facility of
land training credit and license30%, difficult to get suitable partner 27.5%and
group collapse for different reason market interact the ramming are not expressed
inthis part it mines they face other problem we have gap to their choice other
17.5%.
Table -4
Problem
|
Respondent in
Number
|
Respondent in
percentage
|
Difficult to get suitable partners
|
11
|
27.5
|
Lack of getting facility of land
Training and credit and license
|
12
|
30
|
Group collapse for
different reasons market interact
|
10
|
25
|
Other
|
7
|
17.5
|
Total
|
40
|
100
|
Source; primary source
As the above table indicate that
30% of unemployed men and women get a higher challenge on to start new
business, lack of getting facility like land training credit and license, the
remaining 27.5% said that the problem is difficult to get suitable partners for
different reasons (marketed interaction).the other 17.5% respondent saying
because of skill how a new business. We know that to start a new business there
is a perquisite that is getting proper training about business management,
getting work area, license from the government and startup capital .but the
great challenge unemployed men were setup capital provide loan
for unemployed with in bad credit
can help them live better life style and fulfill their goals in the life
however ,the truth is that banks and other financial institution prefer to give away loans to those having a
fixed income every month ,irrespectively whether self employed or working in a
firm this is because the risk of customer
defaulting on monthly installments of the loan in this case .it is well
accepted faceted that giving loan for the unemployed with no bank account it is
not an easy task there are many formalities which a loan seeker needs to
complete to get a loan approved, in case of unemployed people ,banks will
property screen out .the financial position of the person applying for alone assists such as properties or real
estate ,bank deposited share and bond
would be checked before arriving at a conclusion that person is deserving
candidate for alone ,banks and finance are interested to judge that giving loan
for those individual whose repayment capacity is high.
3.3 consequence of unemployment
The high level and duration of urban unemployment in Ethiopia raises a
number of questions about measurement, drivers and policy implications. The
high incidence and depth of urban poverty, and lack of unemployment benefits,
would a priori suggest that unemployment is simply not an option for
most Ethiopians. This would seem to hold even if available employment
opportunities offer only subsistence earnings, since relatively few families
can afford to subsidize their unemployed children for extended periods.
Perhaps, then, the respondent extent of unemployment is a measurement
issue. Under table -1 show asrespondent participation
in illegal activities 25%, looking for away outs to leave their city 20%,they become
frustrated and are addict to some drink, smoke and obliged to sell fixed assets
to make alive 15 %, motive to work serve the people and purse for their education,
skill and quarrel with families for financial requirement 12.5%
Table -1
Consequences of
Unemployment
|
Respondent in
Number
|
Respondent in
percentage
|
Become frustrated and are addict
To some drink ,smoke
|
6
|
15
|
Motive to work serve the people and purse for their education, skill
|
5
|
12.5
|
Quarrel with families for financial
Requirement
|
5
|
12.5
|
Participation in illegal activities
|
10
|
25
|
Looking for away outs to leave their city
|
8
|
20
|
Obliged to sell fixed assets to make alive
|
6
|
15
|
Total
|
40
|
100
|
Source; primary source
Interesting to earns they will have work and
consequences of unemployment are
unemployed for the consequence of
unemployment person for the futures are government thinks with budget or total
expenditure the Unemployment has obvious affects on individuals communities
family and political entities ,according to the data what is collect that
25%ofthe respondents said that “because of unemployment we make participate in
illegal activities “around 20%looking far away outs to leave the city15%of unemployment’s
are obliged to sell fixed assets to some drink ,smoke or gamble .12.5of them
are motivates to work serve the people and purse for their education is skilled
and quarrel with families for financial requirement . General high unemployment
creates huge cost for individual and for the economy as a whole, thereare no
positive impacts to all instead of loss of income conflict and gamble people
interested to migrate one country to other, civil war can be takes so these
whole things are the main purpose or consequence of youth unemployment in the
country.
3.4 Possible solution of the Urban Unemployment Problem
The respondent show as how much
they are interested to get
solution of unemployment problem
and increment of creating new job and self employee.The performance of
urban labor in Ethiopia has been
disappointing, even with the acceleration in growth in recent years. Jobs
growth has been slow, and way below what is needed to productively employ urban
residents looking for work; unemployment is thus high. Even for those who have
income earning opportunities, these are typically in the informal sector and
very low paid. Compounding the challenges of sluggish job creation and low pay
are the particular disadvantages faced by women and men youth.
Our respondent is that
these dismal outcomes can be traced back, at least in part, to segmentation of
the labor market. In effect what we see is an urban economy that is to a large
extent cut into three segments the relatively privileged public sector; the
private formal, and the large informal economy, which is mainly small scale and
more ‘survival’ than entrepreneurial. To explore this respondent result, this
table seeks to explain the crating new business and pattern of job creation in
Mekelle and examine the policy and other factors which are generating the
observed outcomes.
Table -2
Statement
|
Respondent in
percentage
|
||||||
Strong
agree
|
Agree
|
normal
|
Disagree
|
Strong
disagree
|
Total
|
||
The government should create new jobs in
The public sector
|
50
|
30
|
10
|
7.5
|
2.5
|
100
|
|
The government should encourage establishment and expansion of private business
|
67.5
|
27.5
|
5
|
-
|
-
|
100
|
|
The government out to support the unemployed with finance
and training
|
45
|
40
|
15
|
-
|
-
|
100
|
|
Provide proper educational system that used create self employment
|
32.5
|
50
|
5
|
10
|
2.5
|
100
|
|
Government should provide loans to you had youth
|
50
|
45
|
2.5
|
2.5
|
-
|
100
|
|
Government should provide working /saving place
|
45
|
30
|
7.5
|
17.5
|
-
|
100
|
|
Total
|
290
|
222.5
|
45
|
30
|
5
|
100
|
|
Source; primary source
As indicate the above table largely
number of respondent above halve
67%strongely agree it mines most of the respondent are one hundred percent believe on the government should encourage
establishment and expansion of private business better way for reducing
unemployment rate and increasing economic growth the development of expansion
private business on the other way 50%,of the respondent said the government
should create new jobs in the public sector and government should provide loan
to you had youth it must the solution government expanded new investment ,small
scale business to discourage unemployment rate on the other hand 45%of
respondent strong interest on government out to support the unemployment with
finance and training ,government should provide working and saving place
,actually this way might be reduce unemployment rate because if there is large
number of microfinance association ,youth will try to borrow many from
association after the long period he is
get his own business therefore he is out of inactive labor or reduce
unemployment by the effort of him to be
conclude this table presentation there are three major opportunities in Mekelle
city according to the respondent response I try to list by rank
1st. Government should
encourage establishment and expansion of private business n
2nd. the government
should create new jobs in the public sector and government should provide loan
to you had youth.
3rd. the government
should provide working and saving place and the government out to support
unemployed with fiancé and training.
The area of training that is help full to ease unemployment and foster self
employing attitude and capability. The training
are motivation for increment
of public sector employment and creating
new job training is grounded in its
relative size, and the effects of public sector employment and expansion of new
moderation or technological system are purposely it
economical development and
new skilled labor market competitive perfectly
in market it show as all labor
demanded and supply decided by market . It
mines most of developed countries flow this way that why education and training
trends. A somewhat distinct issue, which is the need for Government to be able
to recruit and sustain the needed to deliver on its development agenda, is
addressed in the concluding respondent. The basic questions explored here are
whether the public sector is a good place for individuals to work, and whether
the wages and terms of employment in the public sector push up costs in private
sectors.
Table -3
Area of training
|
Respondent in
Number
|
Respondent in
Percentage
|
Social science and business
|
11
|
27.5
|
Agriculture and rural development
|
9
|
22.5
|
Information
technology
|
9
|
22.5
|
Electric city
|
1
|
2.5
|
Construction
|
7
|
17.5
|
Medicine /healthy science
|
3
|
7.5
|
Total
|
40
|
100
|
Source; primary source
As it s indicate on the above
most of the respondent interested to trine social science and business 27.5%,
agriculture and rural development and information technology 22.5%, and
construction 17.5%the reaming are not more interested to learn electric city
2.5% and medicine or health science 7.5% it show as most of them are not able
to learn or no knowhow. the majority of respondents believe that social science
and business is used reduce unemployment rate because currently our country
Ethiopia is expanded new business to create self employment as the respondent
22.5%is now economic deepened on agriculture and reason is now all things what
is made wrong without information technology ,so this all thing is the
necessary for expanding agriculture ,fertilizer ,creating a job for them
like computer center ,computer
maintenance ,data base development and website development . 17.5%of the respondent said that construction
engineering field are better to create self employment ,because now the
government is focused on engineering and construction area ,so it is an easy
way to get job opportunity and we will be constructor by the studying the field
of engineering . Thereaming 7.5 % and 2.5%respondent said medicine or healthy
science and electric city field. are used to create self-employment, study the
field of healthy science and electric city engineering because the field at
recent time government are need more this field to their drafting project uses
or government gives special attain for it not only in Ethiopia, even if in
Ethiopia.
Chapter
four
4.
Conclusionand recommendation
4.1 Conclusion
According to the finding result the researcher gives his own conclusion
.unemployment’s are widely spread in Mekelle city especially under the age
category (20-24).as we have seen this age category it indicates young
generation .it is clear that they have a potential to change anything .and can
create something new .but most of them in this age category are unemployed or
jobless so it show as the most of urban developing countries has face to use
youth labor force to change economic of the one countries but
leaders are not more working this hot labor force .according to the result most
of women respondent are jobless and its
hits them much harder in crime condition
than man.
They are used to their roles or breadwinners
and now need to adapt to being households. Women also more inclined to stay
with unemployed .parents as they instinctively security for their future
children. due to this reason most unemployed women were not marriage or they
are single .the previous and at recent times
shows most of women are not give to chance to educate themselves because of their family believe and the
customs of peoples.
The major causes that affect
unemployment were measure. the target
respondents agree with the major cause of unemployment is unfair
competitive environments in job
vacancies and non availability of job opportunity even if they need to
start venture .unemployed individual have
to go through a right economic crunch the are
able to get unfair competitive
environment job vacancy
opportunity .this may lead looking far away outs to leave their city and
to decline in their personal earning income and no one interesting to work unfair condition of mood they become
frustrated and are addicted to smoke ,drink or gamble crimes.non availability of job opportunity is
sure to have a deep impact on their expensiveness .due to this reason most
unemployed men and women obligated to
sell fixed asset and quarrel with families for financial requirement in order
to full file their financial requirement .to solve the problem
Urban youth unemployment has not
only created from the imbalance between the labor force Growth and overall
economic growth but it has also aggravated by the rural urban migration
.mismatch between job opportunities and aspirations. Increasing urbanization
and increasing concentration of resource in urban areas becomes increasingly
overcrowded with high rates of youth unemployment
4.2 Recommendation
Every city administration need to
solve the problem of unemployment at all from the city .but there are different
problem that occurs incidentally due political, economical and social issue.
However, the researcher recommended to the city administration as follows.
- The
city administrator should give additional vocationaltraining for jobless
individuals and indicates the way how to create -self employment.
- and
if they are self employed ,they can develop self confidence and
independent i.e. they can read
their families ,and there is nothing of making art from their families
with their families and obliged to sell their personal assets
- .launching
establishing the government should encourage and expansion of private business,investment
and create new jobs in the public sector is not enough to reduce
unemployment level without effective follow up.
- Government
small enterprise and industry
bureau should be giving technical advice for them in order to improve the
production capacity and self- employed. It is implementing effectively
small enterprise and industry
bureau can create employment opportunities to many peoples. So this is
enough to solve the problem of unemployment.
- financial
institution have great responsibility on provision of loan to micro and
small enterprise with low interest rate as well as without collateral
requirement for the loan what they provide .
- in
addition to this they should be giving advice on investment and activity
imitating them to save some amount of money and solve unemployment problem
- should
encourage and expansion of private
business , investment and create
new jobs in the public sector .however if there is reflect under
supervision of unfair competitive environment in job vacancy opportunity and non availability of job
opportunity
Reference
- Knife
abraha, Ethiopia the development of economic reforms edition 2000
- Todaro(1994)
, development economics ,new York university and population country
- CSA.
Ethiopia national labor survey edition 2001 (1994,2007, 2011)
- CSA,
population project of tigray region
(1994-2005)
- Smaith
,2000;modern labor economics,theory and public policy .6th edition USA
- Smaith
,1997;modern labor economics ,theory and public policy .6th edition USA
- Niall
O’Higgins (2001).youth unemployment and employment policy; a global
perspective; Geneva,
- Ghadi,D.(1988).labor
and developments
- www.ral.ucar.edu/staff/prlankao/GRHS-2011-ISUES paperfinal.pdf/source.
10.
(National Employment Policy and Strategy of Ethiopia
, Addis Ababa,November 2009)
11. Dendir,s(2006). Unemployment duration in developing
economies :evidence from urban ehiopia .the journal of developing area
R23,J64,O55.
- Mankiw,N.G
(2000).Macroeconomics ,5th edition .new York, NY:Worth,2002.
- ILO
, world employment and unemployment ;Genva .jamesatopbin full employment
and growth, UK
- Philip ndegwa and jhon p. powelson (
1973),employmenmt in Africa ;some critical issues ,ILO, genva
- Farooq
, GM( 1995).population and employment in developing countries ;training in
population ,ILO; Geneva
- Kirshna,P
(1996).family background education and employment background ,education and employment in
urban Ethiopia .oxford bulletin of economics and statics ,58(1).167-182.
- E
mekBureau of economics and finanicmekell town ,2009
- Paul,1977;the
economics development of 3rd world since 1990.s
- Keynesian
,1936 the world economic deprecation new York in UK
Good Work
ReplyDeleteVery good paper. It has helped me so much with my research o Ehiopia's unemployment situation.
ReplyDeleteThe research is very good. But I saw the poor performance of the advisor in helping the researcher in checking the grammar of the writing.
ReplyDeleteThe research is very good. But I saw the poor performance of the advisor in helping the researcher in checking the grammar of the writing.
ReplyDeletevisit this link for essay on unemployment.
ReplyDeleteWonderful blog post you have shared with theirs. I read heaps of article about this lady and she was so notable due to their work. Everything considered. Check this http://www.personalstatementwriters.com/services/personal-statement-writing/lehigh-university-personal-statement/ site and get many new ideas.
ReplyDeleteGood post, A couple of youths' are so watchful and gain the things so snappy since it is the uncommon gift that God accommodate them. You are expressing create that once in a while they http://www.samplestatementofpurpose.net/sample-of-statement-of-purpose-for-ms-in-electrical-engineering/ site feel so devastate because of the information.
ReplyDeleteNice post, Your generally stories give the care message which offers valor to the all inclusive community. I read this check it and I like it specifically. It is completely at the base of the history.
ReplyDeleteGood site, Legend of the Legends is coming here to participate this fantastic rivalry. I by and large stir from this opposition since I like the most in this check here is the stunning condition that the overall public make. I for the most part welcome this immaculate rivalry.
ReplyDeletewell explained types of unemployment , helping notes
ReplyDeletegood paper for the level of 1st degree no advisory
ReplyDelete