The Effect of Private Investment and Provincial Minimum
Wage on Labor Absorption and Open Unemployment Rate in North Maluku Province
Abdul Rahman Senuk1 Nulaila2 Muammil Sun'an3 Bakri Soamole4
Khairun University, Ternate, Indonesia
Abstract
Unemployment is a
labor problem that has now reached a fairly concerning condition. The problem
of employment is undeniably one of the main problems faced in development.
Wages are also the main factor that influences labor absorption. An increase in
wage levels will increase the company's production costs which will ultimately
lead to an increase in prices. The objectives of this study are: (1) To analyze
the effect of private investment on labor absorption in North Maluku Province;
(2) To analyze the effect of the provincial minimum wage (UMP) on labor
absorption in North Maluku Province; (3) To analyze the effect of private
investment on the open unemployment rate in North Maluku Province; (4) To
analyze the effect of the Provincial Minimum Wage on the open unemployment rate
in North Maluku Province; and (5) To analyze the effect of labor absorption on
reducing the open unemployment rate in North Maluku Province. The analysis
model used in this study is path analysis. The results of the study indicate that
the provincial minimum wage (UMP) partially has a significant effect on labor
absorption and the open unemployment rate in North Maluku Province. Meanwhile,
private investment has an effect on employment opportunities but cannot reduce
the unemployment rate. Then, opportunity has a significant influence and is
negatively correlated with the open unemployment rate in North Maluku Province.
Keywords:
Private
Investment, Provincial Minimum Wage, Employment Opportunities and Open
Unemployment Rate.
INTRODUCTION
Unemployment is very complicated problem for every country, no except
for Indonesia. Problems around unemployment of course always become main
problem social in developing countries like Indonesia. According to Prihanto ,
Purwaka Hari (2012) who quoted Todaro and Smith, et
al. (2004) statement on unemployment in developing countries developing in
general dominated by unemployment age young and unemployed educated.
Imbalance between increase resident with provision field work This
cause problem Serious like unemployment and poverty . In order to increase
employment opportunities, then expenditure the government must be directed to
provision of social overhead and development economy in the long term long. Expenditure
like that will be create employment and efficiency productivity economy.
Problem employment is not available can undeniably one of the
problem main issues faced in development . this job field functioning as
vehicle to place human in position central to development . Employment
is source income for working workforce . Big or small amount
income earned from job field determines prosperity a family . In
addition, employment is also a vehicle for source Power human to express self
they as creature maker tools . Work is activity express creativity as well as
ability human and is one of the vehicle devotion for cracked Power man
concerned . On the other hand , if there is unemployment in a society , things
this means less its efficiency utilization of one of the basic capital and its
limitations available options . Even If unemployment has reached
sufficient level high , it can bother stability economy the
community concerned (Hasibuan, 2009).
Wages are also factor main influencing factors absorption workforce .
Increase level wages , will raise cost production the company that ultimately
cause increase price . Increase price cause , buyer decrease , decrease
production and finally decrease request workforce or called scale
effect. If level wages increase, entrepreneurs more Like replace workforce
with technology capital intensive so request workforce decreased ( Sumarsono , 2003; in (Fadliilah, Diah
Nur and Atmanti, 2012). This relevant with Putra's research (2012) on
influence mark investment , value wages and values production to absorption
workforce in industry furniture in Pedurungan District , Semarang City shows
that There is influence of capital, value wages and values production to
absorption workforce in industry furniture in Pedurungan District , Semarang
City.
Debate about minimum wage often happened , because existence dispute
between businessman or perpetrator industry with the workers , the workers want
increase minimum wage that is in favor to him , while the entrepreneurs feel
will harm his efforts with existence increase the minimum wage . The debate
that emerged concerning to what extent do real wages follow growth productivity
and needs to determinant minimum wage , then from that
policy law government in the field wages are very important for effort improvement
welfare workers (Sumarsono 2003).
Implementation minimum wage , especially for countries that have amount
high population will result in height level unemployment . This is
happen because of unemployment open happens in generation young people who just
finish his education and further will looking for work according to his wishes
. In addition, with existence implementation policy minimum wages and the Act
about employment , for entrepreneurs will using a lot of contract labor
, this this is what will be add problem unemployment .
In addition, Investment is determinant rate growth economy , because
besides push increase in output significant , also increases input
requests so in the end will increase employment opportunities and welfare
public as consequence from increasing income received by the community (Makmun, 2003). Investment cause increase production items
that also have an effect to request workforce . This is cause increase field
work so that reduce unemployment . Therefore investment impact positive
to economy in Indonesia. It is necessary government try help increase
investment with collaborate with other countries in the form of Foreign Direct
Investment (PMA) as well as improvement investment Domestic Investment (PMDN).
According to (Satrio, 2010)� the
increase investment will increase job opportunities so that level unemployment
will decreased . To find out impact investment direct to request labor
used coefficient labor and output multiplier to be able to knowing the
demand multiplier labor .
Investment in essence is beginning activity development economy .
Investment can carried out by private sector , government or cooperation
between government and private sector . Investment is a the way that can
carried out by the government to improve growth economy and for the long term
long can raise standard life its society (Mankiw, 2013). Investment is step sacrifice consumption in
the future future .� Investment is component main in
moving wheel economy a country. In theory improvement investment will boost
trade volume and production volume further will expand productive and
meaningful employment opportunities will increase income per capita at the same
time can improve welfare public .
The size investment in a country/ region describe the magnitude
activity economy , and its size activity economy describes a fairly complete
production process high . Investment is a factor crucial for continuity of
development process economy (sustainable development), or growth economy term
long . With existence activity production so was created employment
opportunities and income public increased , which is
furthermore create / improve market demand (Tambunan, 2001).
Capital stock or investment is one of factor important in determining
level income national . Activities investment allow a public Keep going
continuously increase activity economy and employment opportunities ,
increasing income national and international level prosperity (Sukirno, 2000). The existence of investments will push creation new capital goods so
that will absorb factor new production namely create new jobs or job
opportunities that will absorb power which in turn will reduce unemployment (Setiawan, Maulida, & Sandika, 2014).
Based on the research problems stated above, the
objectives of this study are as follows: 1. To analyze the effect of private investment
on labor absorption in North Maluku Province. 2. To analyze the effect of
provincial minimum wage (UMP) on labor absorption in North Maluku Province. 3.
To analyze the effect of private investment on the open unemployment rate in
North Maluku Province. 4. To analyze the effect of Provincial Minimum Wage on
the open unemployment rate in North Maluku Province. 5. To analyze the effect
of labor absorption on reducing the open unemployment rate in North Maluku
Province.
Zulhanafi, Aimon, Syofyan (2013) with a study
entitled Analysis of Factors Affecting Productivity and Unemployment Rate in
Indonesia. The results of the study indicate that the variables of
productivity, economic growth, investment, government spending, and wages
significantly affect the unemployment rate in Indonesia. This means that
increasing productivity, economic growth, investment, government spending and
decreasing wages will cause a decrease in the unemployment rate.
Research conducted by Prabowo Dwi Kristanto
(2014), with the title of his research is "Analysis of the Influence of
Economic Growth, Minimum Wages, and Unemployment Rates on the Number of Poor
People in Brebes Regency in 1997-2012". The results of his research
indicate that minimum wages and open unemployment rates have a significant
influence on the number of poor people in Brebes Regency during the period
197-2012. And research conducted by Adtya Barry Kurniawan (2014), with the
title of his research "Analysis of the Influence of Economic Growth,
Minimum Wages, and Investment on the Number of Unemployed in Gresik
Regency". The results of his research are based on the results of the
regression equation showing that economic growth, minimum wages, investment
have an influence on the number of unemployed in Gresik Regency.
The empirical study of (Fatas A, 1998) �stated
that the United States government spending has a positive and significant
effect on the availability of employment opportunities. Different results from
the research of Sun'an and Astuti (2008) in analyzing the influence of
investment, government spending, and economic growth on employment
opportunities in West Nusa Tenggara, namely fiscal policy through government
spending (APBD) has no effect on the creation of employment opportunities in
NTB Province.
Monteiro and Turnovsky (2008), The role of
government spending is a determinant of economic growth, using a two-sector
endogenous growth model, namely physical capital and human capital. Physical
capital in the form of infrastructure. In the long term, economic growth
creates welfare. This finding confirms that the government makes productive
spending choices.
(Alexiou, 2009), examining the relationship between economic
growth and government expenditure in South Eastern Europe (SEE) using panel
data produced significant results. More specifically, the evidence produced
shows that four out of five variables used in the estimation namely government
expenditure on capital formation, development assistance, private investment
and trade openness all have positive and significant effects on economic
growth.
Another study by (Loto, 2011), examined the effect of government expenditure
growth on economic growth in Nigeria over the period 1980 to 2008, with a
particular focus on sectoral expenditure. He investigated the effect of
government expenditure growth in Nigeria over the period 1980 to 2008, with a
particular focus on sectoral expenditure. The five major sectors selected were
(security, health, education, transport, and communication and agriculture).
The variables were tested using Stationary with Co-Integration and
Error-Correction analysis. The results showed that in the short run,
expenditure on agriculture was found to be negatively related to economic
growth. The impact of education although also negative was not significant. The
impact of expenditure on health was also found to be positively related to
economic growth. Although expenditure on transport, national security and
communication were positively related to economic growth, they were not
statistically significant.
(Nasiru, 2012), this study examines the relationship between
government spending and economic growth in Nigeria (1961-2010) using the ECM
and Granger Causality approaches, the results show that capital spending causes
economic growth. The implications of this finding indicate that any reduction
in capital spending will have a negative impact on economic growth in Nigeria.
RESEARCH METHOD
This study uses time series data from 2010-2015 and uses path analysis . Path analysis is used to explain the
relationship pattern between variables with intervening variables with the aim
of determining the direct and indirect effects of a set of independent
variables (exogenous) on dependent variables (endogenous) (Riduwan and Sunarto;
2015). With the following equation:
1. ����� Y 1
����� = β 0 + β
1 X 1 + β 2 X 2 + ε 1
2.������
Y 2 ����� = β 0
+ β 4 X 1 + β 5 X 2 +
β 6 Y 1 + ε 2
Note: ����������� X
1 ����� = Private Investment
��������� X 2
����� = Provincial Minimum Wage
(UMP)
��������� Y1=
Job Opportunities
Y2 ��� = Unemployment
β 1 �
β 6 ������ = Regression
coefficient of independent variables (X i )
β 0 ���� = Intercept / Constant
ε 1 ������ = Error of the first equation
ε 2 ������ = Error of the second equation
1.
The first hypothesis equation decision is formulated:
H a
H 0 :
P y1x1 = P y1x2 = 0
Hypothesis decision sentence form:
H a : �� Private investment and Provincial Minimum
Wage have a positive and significant effect on employment opportunities in
North Maluku Province.
H 0 :
Private investment and Provincial Minimum Wage do not have a positive and
insignificant effect on employment opportunities in North Maluku Province.
2.
The second hypothesis equation decision is formulated:
H a
H 0 : P y1x1 = P y1x2 = 0
Hypothesis decision sentence form:
H a : �� Private investment and Provincial Minimum
Wage have a positive and significant effect on unemployment in North Maluku
Province.
H 0 : ��� Private investment and Provincial Minimum
Wage do not have a positive and insignificant effect on unemployment in North
Maluku Province.
H a :
� Private investment and Provincial
Minimum Wage indirectly have a positive and significant effect on unemployment
through employment opportunities in North Maluku Province.
H 0 : � Private
investment and Provincial Minimum Wage indirectly do not have a positive and
insignificant effect on unemployment through employment opportunities in North
Maluku Province.
Probability value = 0.05
1.
2.
Hypothesis Proof
Techniques
Individual
Coefficient Testing (t-test)
This test aims to determine whether each
independent variable has a significant effect on the dependent variable at a
certain level of confidence. The hypothesis used is:
��������� Ho
: βi = 0������
��������� Ha
: βi ≠ 0
By determining the degree of confidence of 95%
(α = 0.05), degree of freedom (Df) = n�k�1, then the t-table can be
searched and used as a reflection of the area of acceptance or rejection of the
hypothesis. The t-count value can be obtained using the formula:
![]()
Where :
��������� bi
= regression coefficient of independent variable i.
��������� Sbi
= standard error of the regression coefficient bi
Next, the calculated t-value is compared with the
t-table value with the following criteria:
Ho is accepted, if
t-count < t-table, meaning there is no significant influence of the
independent variable on the dependent variable.
Ha is accepted, if
t-count > t-table, meaning there is a significant influence of the
independent variable on the dependent variable.
Simultaneous
Coefficient Testing (F-test)
This test aims to determine whether all
independent variables simultaneously affect the dependent variable at a certain
level of confidence. The hypothesis used is:
��������� Ho
: β 1 = β 2 = 0
��������� Ha
: β 1 ≠ β 2 ≠ 0
By determining the degree of confidence of 90%
(α = 0.10), degree of freedom (Df) = k/(n � k �1), then the F-table can be
searched and used as a reflection of the area of acceptance or rejection of the
hypothesis. The F-calculated value is searched using the formula:
![]()
Where :
��������� R 2
= Explained Sum Squares (ESS)
��������� 1-R
2 = Residual Sum Squares (RSS)
��������� k =
degrees of freedom (Df) numerator
��������� nk-1
= degrees of freedom (Df) denominator
Next, the F-calculated value is compared with the
F-table value using the following criteria:
Ho is accepted, if F-count < F-table, meaning
there is no significant influence simultaneously from all independent variables
on the dependent variable.
Ha is accepted, if F-count > F-table, meaning
there is a significant influence simultaneously from all independent variables
on the dependent variable.
Econometric
Criteria (Second-order Test) �
These criteria are determined by econometric
theory. Testing with these criteria helps in determining whether an estimate
has the required properties such as: unbiasedness , consistency , sufficiency
, and so on. Therefore, the
regression estimation coefficient obtained will be the best and unbiased linear
estimator (Best Linear Unbiased Estimator
= BLUE) if it meets several assumptions known as classical assumptions. In
reality, research often finds deviations from classical assumptions, so a test
is needed to determine the extent to which classical assumptions are met.
1).
Homoscedasticity Assumption Test.
To test the assumption of homoscedasticity, Park's
test can be used. In this test, Park uses the following regression:
Ln e i 2 = α + β
ln Xi + v i
Where : ei = residual
Vi = disturbance element
If β turns out to be statistically
significant, then there is heteroscedasticity in the data, but if it turns out
to be insignificant then the assumption of homoscedasticity can be accepted
which means there are no symptoms of heteroscedasticity.
2).
Non-Autocorrelation Assumption Test
The assumption of no autocorrelation can be tested
using the Durbin Watson statistic, the formula for which is as follows:
d =
�
Testing for autocorrelation is carried out by
determining the critical values of d U and d L based on
the number of observations and the number of independent variables with the
following provisions:
❖
If the hypothesis Ho is that there is no positive serial
correlation
d < d L ��������������������������������� : reject Ho
d > d U ��������������������������������� : does not reject Ho
d L < d < d U ������������ : testing is inconclusive
❖
If the hypothesis Ho is that there is no negative serial
correlation
d < 4 � d L ��������������� : reject Ho
d > 4 � d U ��������������� : does not reject Ho
4 � d U < d < 4 � d L : testing is inconclusive
❖
If Ho is two-tailed, there is no positive or negative
serial correlation.
d < d L ��������������������������������� : reject Ho
d > 4 � d L ��� : reject Ho
d U < d < 4 � d U ������������������ : does not reject Ho
d L < d < d U ������������ : testing is inconclusive
4 � d U < d < 4 � d L : the test cannot be concluded
3). Test the
assumption of no multicollinearity
Multicollinearity arises when one or more
independent variables have a strong correlation with other independent
variables. One way to find out which independent variables are related to which
other independent variables is to regress each Xi on the remaining X variables
and calculate the R i 2 value .
If the F-count exceeds the F-table, it means that
there is multicollinearity between Xi and other X, conversely if it does not
exceed the F-table, it can be said that there is no multicollinearity. Or
according to Klein who showed that as long as the R i 2 value
of the regression results between independent variables is not greater
than the R 2 of the model, then multicollinearity is not so serious,
so the model can still be used, and it is proven that there are no symptoms of
multicollinearity.
Operational
Definition
Research variables are the subject of research or
what is the focus of a study (Arikunto; 2006). The variables used in this study
include:
1.
Private investment (X2 ) is an investment made
by the private sector or entrepreneurs with the aim of making a profit in one
year and is expressed in rupiah.
2.
The Provincial Minimum Wage (UMP) is the amount of
wages/salary determined by the regional government for workers in the North
Maluku Province, and is expressed in rupiah.
3.
Employment Opportunities (Y1 ) are the number
of job vacancies or people who have obtained jobs (in nine business sectors in
North Maluku Province. Based on available employment opportunities or the
number of workers seeking work according to BPS in units of people.
4.
Unemployment rate (Y2 ) is the number of
unemployed people, who are part of the workforce but are not working or are
looking for work. The variable for the number of unemployed used is the number
of openly unemployed in Indonesia, using data from BPS, namely data on people
aged (15 years and over) who are looking for work, preparing a business, not
looking for work, and have not started working. The data taken is annual, from
2013 to 2018 and the unit used is people / person.
Development of Private Investment in North Maluku Province
Investment is the key word determining the rate of
economic growth, because in addition to significantly driving an increase in
output, it will also automatically increase the demand for input, which in turn
will increase employment opportunities and public welfare. In Neo-Classical
theory, it is assumed that the economy continues to achieve full employment and
in this state investment will be the same as savings at full employment,
therefore the interest rate is a tool that can be used to maintain full employment
from time to time (Sukirno, 2000).
Rostow (in Todaro, 2000) stated that every effort
to take off requires the mobilization of domestic and foreign savings with the
aim of creating sufficient investment, to accelerate economic growth so that in
turn it will increase employment opportunities and public welfare as a
consequence of the increasing income received by the community. Investment must
be seen as the main driving force of economic growth, creating employment
opportunities and increasing international competitiveness, not just covering financing
shortages.
In North Maluku Province, of course, the creation
of job opportunities is closely related to investment. With an increase in
investment, economic growth will increase, which in turn creates job
opportunities. In table 4.1. it can be seen that there is an increase in GRDP
along with the increase in investment value. This means that with the ability
of the local government to create a conducive investment climate for the
private sector, it will have an impact on business expansion, thereby
increasing output growth (GRDP), which can also directly improve the regional
economy as a whole.
Table 1. Realization of
Private Investment in North Maluku Province
2017 � 2022
|
Year |
Investment Value (Rp.000) |
Percentage |
|
2017 2018 2019 2020 2021 2022 |
5,573,409.50 5,592,831.76 6,210,616.60 6,297,330.49 7,206,423.70 8,144,346.30 |
14.28 14.33 15.91 16.14 18.47 20.87 |
|
Total |
39,024,958.35 |
100.00 |
�������� Source:
BAPPEDA of North Maluku Province, 2017.
Development of Provincial Minimum Wage (UMP)
The increase in the minimum wage is something that
is highly anticipated by workers/laborers, because the increase in wages will
have a positive impact such as increasing their standard of living. However,
the increase in the minimum wage will also have a negative impact on the
unemployment rate in North Maluku Province, because employers or companies will
feel burdened in providing wages to their workers who must follow the wage
standards set by the government, so that there will be an initiative from employers/companies
to limit employee recruitment or will use employees who have better quality,
thus it will have an impact on the unemployment rate in North Maluku Province.
Table 2 Development of
Provincial Minimum Wage (UMP)
In North Maluku Province,
2017 � 2022
|
Year |
Employment Opportunity (Person) |
Percentage (%) |
|
2017 2018 2019 2020 2021 2022 |
2,200,622 2,440,746 2,681,266 2,775,152 2,867,457 2,920,803 |
11.13 13.36 15.59 18.31 20.09 21.52 |
|
Total |
10,786,046 |
100.00 |
�������� Source:
North Maluku Provincial Manpower Office, processed data.
Development of Job Opportunities in North Maluku Province
The state of a society's workforce in general can
describe the social life of that society. In line with the increasing
population, the number of the workforce also continues to increase from year to
year, therefore the government must rebuild employment opportunities by
preparing all its people by giving attention, skills and capacity to contribute
to work and community services. In addition, employment opportunities are also
related to the ability of each economic sector to create jobs for the
workforce.
Wages are compensation received by a work unit in
the form of the amount of money paid. Labor wages are very important for both
parties. For producers, wages are production costs that must be suppressed as
efficiently as possible. For workers, wages are a source of income for
themselves, their families and a source of community spending. The high and low
wages are an important factor that determines the standard of living of the
community.
Table 3 Development of
Employment Opportunities
In North Maluku Province,
2017 � 2022
|
Year |
Employment Opportunity (Person) |
Percentage (%) |
|
2017 2018 2019 2020 2021 2022 |
437,870 443,946 454,978 456,017 482,543 503,479 |
15.76 15.98 16.38 16.41 17.36 18.11 |
|
Total |
2,778,833 |
100.00 |
�������� Source:
North Maluku Provincial Manpower Office, processed data.
Unemployment Development in North Maluku Province
Unemployment is a reality faced not only by
developing countries , but also by
developed countries. In general, unemployment is defined as a situation
where someone who is included in the labor force category does not have a job
and is actively looking for a job (Nanga, 2001). Someone who is not working,
but is actively looking for a job cannot be classified as unemployed. In addition,
unemployment is defined as a situation where someone who is included in the
labor force wants to get a job but has not been able to get it (Sukirno, 2000).
Unemployment is often a problem in the economy
because with unemployment, people's productivity and income will decrease,
which can cause social problems. This macroeconomic problem is the most common,
especially in developing countries, such as Indonesia. So it is not surprising
that every year this country always experiences an increase in
"unemployment contributions". Based on the data in Table 4.4. it can
be seen that unemployment in North Maluku Province during 2017 - 2022 tends to
fluctuate.
Table 4 Development of
Open Unemployment Rate
In North Maluku Province,
2017 � 2022
|
Year |
Unemployment (Person) |
Percentage (%) |
|
2017 2018 2019 2020 2021 2022 |
25,487 31,058 21,047 27,303 29,997 28.133 |
17.93 15.45 12.54 17.76 21.65 14.67 |
|
Total |
143,477 |
100.00 |
�������� Source:
North Maluku Provincial Manpower Office, processed data.
Path Analysis Calculation Results
Based on the data obtained, then the calculation
or data processing is carried out using the SPSS program. The summary of the
results of the path analysis is as follows:
Table 5 Summary of Path
Analysis Results
|
Influence between variables |
Beta Path Coefficient |
t value |
F Value |
Coefficient of Determination (R 2 ) |
Information |
|
X1 against Y1 |
0.004 |
3.930 |
27,792 |
0.778 |
Significant |
|
X2 against Y1 |
-4.305 |
-4.867 |
Significant |
||
|
X1 against Y2 |
-0.052 |
-1.815 |
5.146 |
0.807 |
Not Significant |
|
X2 against Y2 |
82,189 |
2,846 |
Significant |
||
|
Y1 against Y2 |
-11,342 |
-2.653 |
Significant |
Information:
X1 = Private Investment ������������� Y1 = Employment Opportunities
X2 = Provincial Minimum Wage ����� Y2 = Unemployment
Based on table 5 above describes that in the first
equation regression model with individual (partial) testing, private investment
on employment opportunities, namely where in table 4 the coefficients t value is obtained of 3.930 with a value (sig) of
0.013 because the sig value <0.05 probability value, then the decision H 0
is rejected and Ha is accepted, meaning that private investment has a
significant effect and is positively correlated with employment opportunities
in North Maluku Province. Then, individual (partial) testing, the provincial
minimum wage on employment opportunities, where in table 5 coefficients (attachment) the t value is obtained of 4.867 with a
value (sig) of 0.006 because the sig value <0.05 probability value, then the
decision H 0 is rejected and Ha is accepted, meaning that the
provincial minimum wage has a significant effect and is positively correlated
with employment opportunities in North Maluku Province.
For the second equation regression model,
individual (partial) testing, private investment on unemployment, namely where
in table 4.5. the coefficients t
value is 1.815 with a value (sig) of 0.084 because the sig value> 0.05
probability value, then the decision H 0 is accepted and Ha is
rejected, meaning that private investment does not have a significant effect
and is positively correlated with unemployment in North Maluku Province. Then,
individual (partial) testing, the provincial minimum wage on unemployment,
where in table 4.5. coefficients (attachment)
the t value is 2.846 with a value (sig) of 0.01 because the sig value <0.05
probability value, then the decision H 0 is rejected and Ha is
accepted, meaning that private investment has a significant effect and is
positively correlated with unemployment in North Maluku Province.
In the second equation regression model with
overall testing (simultaneously), private investment and provincial minimum
wages (UMP) together on unemployment are as seen in table 5 Anova (attachment)
obtained an F value of 5.146 with a value (sig) of 0.008 because the sig value
<0.05 probability value, then the decision H 0 is rejected and Ha
is accepted, meaning that government spending, private investment, and
workforce education together on unemployment have a significant effect and are
positively correlated. Then private investment and provincial minimum wages
(UMP) together on employment opportunities are as seen in table 4.5. Anova
(attachment) obtained an F value of 27.792 with a value (sig) of 0.008 because
the sig value <0.000 probability value, then the decision H 0 is
rejected and Ha is accepted, meaning that government spending, private
investment, and workforce education together on employment opportunities have a
significant effect and are positively correlated.
Classical Assumption Testing
Testing with this criterion helps in determining
whether an estimate has the required properties such as: unbiasedness , consistency , sufficiency , and so
on. Therefore, the regression estimation coefficient obtained will be the best
and unbiased linear estimator (Best
Linear Unbiased Estimator = BLUE) if it meets several assumptions known as
classical assumptions.
Thus, based on the calculation results in the
appendix, it shows that the linear regression equation of employment
opportunities does not violate the existing classical assumptions. This is
indicated by each value that has met the Best
Linear Unbiased Estimator (BLUE) criteria, so that the model is appropriate
or valid for estimation using the OLS method. The results of testing the
classical assumptions of this study are as follows:
Autocorrelation
Based on the test results (attachment 2) it shows
that the value of Durbin-Watson (DW-statistic) is 1.163. When compared with the
table at the 5% confidence level, nk-1 obtained the value of dL = 1.50 and dU =
0.123 which is between the dL and dU values (dL <d <dU). This means that
the non-autocorrelation test cannot be concluded. However, the Durbin-Watson
value above is still between -2 and +2 which means that the regression model
does not show any symptoms of autocorrelation.
|
Model
Summary b |
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|||||
|
Model |
R |
R Square |
Adjusted R
Square |
Std. Error
of the Estimate |
Durbin-Watson |
|
|
1 |
.898 a |
.807 |
.778 |
.02799 |
1.163 |
|
|
a.
Predictors: (Constant), INV, UMP |
|
|||||
|
b.
Dependent Variable: KK |
|
|||||
Multicollinearity
Multicollinearity arises because one or more
independent variables have a strong correlation with other independent
variables. A good regression model should not have a correlation between
independent variables. Multicollinearity can be identified from (1) the
tolerance value and its opposite (2) the variance inflation factor (VIF). These
two measures indicate how much of each independent variable is explained by the
other independent variables.
Looking at the results of the correlation between
independent variables (appendix 2) it appears that none of the variables have a
high enough correlation between independent variables. The results of the
calculation of the tolerance value also show that none of the independent
variables have a tolerance value of less than 10%, which means that there is no
correlation between independent variables that have a value of more than 95%.
The results of the calculation of the variance inflation factor (VIF) value also
show the same thing, none of the independent variables have a VIF value of more
than 10. So it can be concluded that there is no multicollinearity between
independent variables in the regression model.
|
Coefficients a |
|
||||||||||||||||
|
Model |
Unstandardized
Coefficients |
Standardized
Coefficients |
t |
Sig. |
Collinearity
Statistics |
|
|||||||||||
|
B |
Std. Error |
Beta |
Tolerance |
VIF |
|
||||||||||||
|
1 |
(Constant) |
-4.354 |
1,068 |
|
-4.076 |
.001 |
|
|
|||||||||
|
UMP |
.004 |
.001 |
1,945 |
3.930 |
.013 |
.062 |
1,084 |
||||||||||
|
INV |
4.305 |
.734 |
2,702 |
4,867 |
.006 |
.046 |
1.925 |
||||||||||
|
KK |
-2.956E-5 |
.000 |
1,444 |
-5.018 |
.003 |
.298 |
1,351 |
||||||||||
|
a.
Dependent Variable: UNEMPLOYEE |
|
||||||||||||||||
Normality Test
Testing the normality of the sample, linearity of
the relationship and equality of variance can create a plot between the
residual value (ZRESID) and the predicted value (SPRED). The linear regression
relationship and its variance can be seen in the probability scatter diagram
(Normal Probability Plot) or abbreviated as PP Plot. Based on the plot diagram
below, it shows that the points are still around the linear line so it is
concluded that the data is normally distributed.
%201370-1386_files/image008.jpg)
Discussion of Research Results
The Impact of Private
Investment on Employment Opportunities in North Maluku Province.
One of the important indicators for analyzing
economic development in a country is economic growth, which is measured by the
difference in gross domestic product in a certain year with the previous year (Setiawan et al., 2014). More specifically, Todaro (2000) stated that
capital accumulation, population growth related to the number of workers and
technological progress are the main components of economic growth. Capital
accumulation will occur if part of current income is saved and then invested to
increase output in the future. Meanwhile, according to Adam Smith (in Kuncoro,
1997), economic growth will determine the speed or slowness of economic growth
in a country. This capital is obtained from savings made by the community. With
the accumulation of capital generated from savings, economic actors can invest
it in the real sector, in an effort to increase their income.
Based on the results of the study, it shows that
private investment has a positive and significant effect on employment
opportunities in North Maluku Province. This means that if there is an increase
in private investment, it will be able to increase employment opportunities in
North Maluku Province. However, investment does not affect the creation of
employment opportunities in North Maluku Province. This is in line with the
theory that explains that investment is the key word determining the rate of economic
growth, because in addition to driving a significant increase in output, it
will also automatically increase demand for input, which in turn will increase
employment opportunities and community welfare as a consequence of the
increasing income received by the community (Makmun, 2003). Sulistiawati (2012) with a study entitled: The
Effect of Investment on Economic Growth and Labor Absorption and Community
Welfare in Provinces in Indonesia. The results of the study show that
investment has a significant effect and has a positive relationship with
provincial labor absorption in Indonesia. These results provide support for
hypothesis two which states that investment has a significant effect on
provincial labor absorption in Indonesia. An increase in investment will be
followed by an increase in provincial labor absorption in Indonesia.
The Impact of Private
Investment on Unemployment in North Maluku Province.
Investment is a determinant of economic growth
rate, because in addition to significantly increasing output, it also increases
demand for input so that it will ultimately increase employment opportunities
and public welfare as a consequence of the increasing income received by the
community (Makmun, 2003). Investment causes an increase in the production
of goods which also affects the demand for labor. This causes an increase in
employment opportunities, thereby reducing unemployment. The existence of
investments will encourage the creation of new capital goods so that it will
absorb new production factors, namely creating new jobs or employment
opportunities that will absorb labor which in turn will reduce unemployment (Setiawan et al., 2014).
Based on the results of the study, it shows that
private investment has a significant effect and is negatively correlated with
unemployment in North Maluku Province. This means that if there is an increase
in private investment, it will be able to reduce the open unemployment rate in
North Maluku Province. The relationship between investment and unemployment can
be seen based on the Harrod-Domar theory in Kurniawan (2014:155), Harrod-Domar
argues "that investment not only creates demand but also increases production
capacity". This means that the greater the production capacity, the
greater the workforce will be required, with the assumption of " full employment ". This is because
investment is a change in the addition of production factors, one of which is
labor. That way, the economy as a whole can absorb as much labor as possible,
so that labor force participation will also increase. This is in line with
research conducted by (Rahmadin & Nasir, 2013) with the results of the study that partially the
level of investment has a significant effect on the unemployment rate.
According to Pratiwi (2005), investments that have
a multiplier effect have an impact on
increasing welfare, which is measured by increasing income. This means that if
income increases, the number of goods and services that will be consumed will
also increase. If the demand for goods and services increases, it will increase
job opportunities, this will reduce the unemployment rate. This decrease in
unemployment is caused by the absorption of the workforce in investment
projects. Investments that have a multiplier
effect have an impact on increasing welfare, which is measured by
increasing income. This means that if income increases, the number of goods and
services consumed will also increase. If the demand for goods and services
increases, it will increase job opportunities. This will reduce the
unemployment rate. This decrease in unemployment is caused by the absorption of
the workforce in investment projects.
The Impact of Provincial
Minimum Wages on Employment Opportunities in North Maluku Province
Wages are compensation received for a month by
workers/employees, either in the form of money or goods paid by the
company/office/employer. Minimum Wage is the lowest monthly wage consisting of
basic wages including fixed allowances set by the governor as a safety net. The
government sets the minimum wage based on decent living needs and by taking
into account productivity and economic growth. Wages are an interesting and
important issue for companies, because wages have a very large influence on
workers. The government has regulated the City/District Minimum Wage (UMK). In
various provinces, it turns out that the determination of minimum wages
differs, both in amount, percentage increase each year, determination system
and scope. Some provinces set a single minimum wage and some other provinces
set sectoral minimum wages. The single minimum wage is rigid, generally having
an impact on improving the wages of permanent workers in marginal industries.
Wages are an interesting and important issue for
companies, because wages have a very large influence on workers. The government
has regulated the City / Regency Minimum Wage (UMK). In various provinces, it
turns out that the determination of minimum wages is different, both in amount,
percentage increase each year, determination system and scope. Some provinces
set a single minimum wage and some other provinces set sectoral minimum wages.
The single minimum wage is rigid, generally impacting on improving the wages of
permanent workers in marginal industries.
The results of this study indicate that the
provincial minimum wage (UMP) has a negative and significant effect on
employment opportunities in North Maluku Province. This means that if there is
an increase in the Provincial Minimum Wage (UMP), it will increase employment
opportunities. According to Kuncoro (in Erni Yuliarti, 2006) the quantity of
labor demanded will decrease as a result of the increase in wages. If the wage
rate increases while the price of other inputs remains the same, it means that
the price of labor is relatively expensive compared to other inputs. This
situation encourages entrepreneurs to reduce the use of relatively expensive
labor with other inputs that are relatively cheaper in order to maintain
maximum profits. The results of the study by Hutagalung and Santoso (2013) show
that the minimum wage has a significant effect on employment opportunities.
The Influence of
Provincial Minimum Wages on the Open Unemployment Rate in North Maluku Province
High wages will cause a decrease in the number of
workers and result in increased unemployment. High wages then indicate high
production costs. Thus, companies will reduce their production capacity and
ultimately reduce economic growth. Wages are one of the factors that affect the
unemployment rate. "Wages are compensation received by a unit of labor in
the form of the amount of money paid to it" (Mankiw, 2006).
The workforce that sets its minimum wage level at
a certain wage level, if all wages offered are below that wage level, a worker
will refuse to receive the wage and as a result cause unemployment. If the wage
set in an area is too low, it will result in a high number of unemployed people
in that area. However, from the employer's perspective, if wages increase and
the costs incurred are quite high, it will reduce the efficiency of spending,
so that employers will take a policy of reducing the workforce in order to
reduce production costs. This will result in increased unemployment. The
results of Kristiyana's research (2011) show that the city's minimum wage has a
positive effect on unemployment. Kurniawan's research (2013) states that the
city's minimum wage has a positive effect on unemployment.
Through a wage policy, the Indonesian government
is trying to set a minimum wage that is in accordance with the standard of
living. The determination of wage levels by the government in a region will
have an impact on the level of unemployment that exists. The higher the wage
set by the government in a region will have an impact on the level of
unemployment that exists. The higher the wage set by the government, the more
it will result in a decrease in the number of people working in the region.
Therefore, the higher the wage set will have an impact on the high level of
unemployment that occurs.
The results of the study indicate that the
Provincial Minimum Wage (UMP) has a positive and significant effect on the open
unemployment rate in North Maluku Province. This means that if there is an
increase in the Provincial Minimum Wage (UMP), it will increase the number of
unemployed in North Maluku Province. This is because the increase in wages will
increase production costs, so that companies / private companies will reduce or
not increase the number of workers. This is in line with research conducted by (Syam, 2015) which shows that wages and population growth have
a positive and significant effect on unemployment in the city of Makassar.
The determination of wage levels by the government
in a region will have an impact on the level of unemployment that exists. The
higher the wage set by the government, the more it will result in a decrease in
the number of people working in the country. Therefore, "the higher the
wage set will have an impact on the high level of unemployment that
occurs" (Kaufman, 1999). This can happen because the higher the wage set,
the more it will affect the increase in output
costs that must be incurred by a company. As a result, a company will carry
out efficiency in production by reducing the number of its workers
CONCLUSION
Based on the research results and discussions
presented, the conclusions of this research are as follows:
1. Private investment has an
impact on employment opportunities in North Maluku Province. This means that
investment made by the private sector can absorb labor. This shows that the
role of private investment in the economy of North Maluku is very good.
2. The results of the study
show that private investment has no effect on the open unemployment rate in
North Maluku Province. This means that, if there is an increase in private
investment, it cannot reduce the open unemployment rate in North Maluku Province.
This is because the investment made by the private sector is more in the
mining, trade and service sectors so that it does not have much impact on
unemployment.
3. The Provincial Minimum
Wage (UMP) has a significant effect on labor absorption in North Maluku
Province. This means that if there is an increase in the Provincial Minimum
Wage (UMP), it will decrease labor absorption. This is because there will be an
increase in production costs so that the private sector will stop or reduce the
number of workers.
4. The Provincial Minimum
Wage (UMP) has no significant effect and is negatively correlated with the open
unemployment rate (TPT) in North Maluku Province. This means that if there is
an increase in the Provincial Minimum Wage (UMP), it cannot reduce the number
of unemployed. This is because the increase in the Provincial Minimum Wage
(UMP) only increases production costs so that the private sector can reduce or
not add workers
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Sumaiyah 1 M arwanti 2 (2024) |
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