AND RECEIVED OF ZAKAT, INFAQ AND ALMS
Muhammad Syahrul Hidayat1,
Agus Eko Sujianto2,
Mochamad Arif Faizin3, Dede
Nurrohman4, Mashudi5
Universitas
Islam Negeri Sayyid Ali Rahmatullah Tulungagung, Indonesia
syahrulhidayat195@gmail.com1, agusekosujianto@gmail.com2,
arjunaja@gmail.com1, de2nur71@gmail.com4, mashudi_stain@yahoo.co.id5
ABSTRACT
This research aims to identify and analyze the
effect of life expectancy, wholesale price index, business tendency index, and
consumer tendency index on economic growth with zakat, infaq and almsgiving
receipts as intervening variables in Indonesia. The
method used in this study is a quantitative method with the type of associative
research, population and sample in this study is Indonesia's Economic Growth
Quarter I 2005 – Second Quarter of 2022 Central Statistics Agency. Based on
research on life expectancy, the wholesale price index, the business tendency index,
and the consumer tendency index have a significant positive effect on economic
growth in Indonesia. The results of this study indicate that the receipt of
zakat, infaq, and alms has a significant positive effect on Indonesia's
economic growth. It can be concluded that it can contribute to the government,
zakat managers, the general public, both academics and economic actors and the
general public so that they understand more about the linkage of life
expectancy, wholesale price index, business tendency index, consumer tendency
index to economic growth.
Keywords: life
expectancy, price index, business tendencies, zakat, infaq, alms.
Corresponding Author: Muhammad Syahrul Hidayat
E-mail: syahrulhidayat195@gmail.com
INTRODUCTION
A country's economic growth determines
which country's category can be said to be a developed country or a developing
country. Of course, the quality of life of a country is said to be good if the
economic growth in a country is also good and vice versa. The condition of
society can also determine a country's economic condition, and many factors
influence this (Gobel,
2020). Economic growth is also influenced by
life expectancy in a country. The higher the life expectancy in that country,
it can be interpreted that its welfare is indeed fulfilled; this includes
environmental conditions, food availability, education, government policies and
a good community economy.
Increasing the population, even if it is
big or small, will affect changes in the economic structure, which can be seen
from the increase in Gross Domestic Product (GDP). Over an extended period, an
increase in per capita income is usually seen in economic conditions that are
still developing, but per capita income does not continue to rise. Usually,
political turmoil in a country, low exports, and a recession can reduce per
capita income (He et al.,
2020). Gross domestic product is one measure of
a country's development success and the gross domestic product itself. It is an
added value resulting from economic activity in the form of goods or services
without considering the factors of production owned by non-residents or
residents as well as theory. Sukirno revealed that the process of increasing
output over a long period would have an impact on economic growth (Sukirno,
2013). Developing countries like Indonesia try
to maintain their people's welfare by maintaining economic growth. This can be
seen in Indonesia's economic growth data as follows.
Graph 1. Economic Growth in Indonesia
Based on
BPS data in chart 1. shows that Indonesia's economic growth in the last 12
years has fluctuated. In 2010 Indonesia's economic growth reached 6.22%, the highest in other
years. In 2015
it became the lowest growth with 4.88%. And until 2019, it is stagnant at
around 5% each year. Even in 2020, it decreased to -2.90% due to the Covid-19
pandemic and in 2021 it rose again to 5%. Considering that life expectancy is
one of the leading indicators of population health and economic development of
a country, with a high life expectancy, a stable wholesale price index, a good
index of business tendencies, as well as a good index of consumer tendencies,
this certainly reflects that the country is a high-income country. Able to
prosper the lives of its citizens, and what is no less critical is issuing
zakat, infaq and alms because, with that, wealth will rotate not only among
well-off people in their economy so that the lower middle-class economic
community can live in prosperity.
In the
research conducted by Widiarsih and Romanda on the factors that influence
economic growth in Indonesia, it is emphasized that several factors can
influence, namely tax revenues, exports and exchange rates which significantly
positively influence economic growth in Indonesia. (Syahputra,
2017). This also supports the theory put
forward by Atmadja that exchange rate factors, exports and taxes can cause
economic growth.
Graph 2. Life Expectancy in Indonesia
Source: https://www.bps.go.id/ Year
2010-2021 (data processed 2022)
From the
above data, life expectancy in Indonesia has increased from year to year. This
certainly shows an increase in government performance in improving the welfare
of the population in general and improving health status. Health development
programs and other social programs, including environmental health, nutritional
adequacy and calories, and poverty eradication programs, must follow low life
expectancy in an area. But of course, the life expectancy has not met the
government's target of around 80, but the government is optimistic that this
figure will rise to the desired figure, and this will materialize when the
quality of the economy in a country is good so that the amount of poverty and
malnutrition also increases. Has decreased this can be proven that this number
can be seen in 2019 when malnutrition decreased from 37.2% to 27.7%.
Graph 1.3 Wholesale Price Index in Indonesia
Source: https://www.bps.go.id/ Year 2010-2021 (data processed 2022)
From the data, wholesale trade prices in Indonesia have fluctuated from
year to year, seen in 2010 the IHPB figure was 142,053 and continued to crawl
up until 2017 at the price index of 149,873 and experienced a significant
increase in 2018, amounting to 155,823 and continued to rise until in 2021 it
alone reaches a price of 161,041.
The wholesale price index (IHPB) is an economic indicator that contains
index numbers that show changes in the purchase price of goods by wholesalers
to find out changes in the price of merchandise buyers and to predict future
prices. However, the continuous increase in the price of goods can generally be
regarded as inflation and affects the rupiah exchange rate. Economists also
assess that this can be caused by the reduced demand for domestic consumption
goods due to the absence of additional income and can also be caused by
fluctuations in the exchange rate of a country's currency.
Graph 4. Business Tendency Index
Source: https://www.bps.go.id/ Year 2010-2021 (data processed 2022)
As can be seen in the business tendency index chart from year to year,
there have been uncontrolled ups and downs; it can be seen from 2010 at 122,161
to 2015 at 115,762, while in 2017 and 218, there was an increase this was due
to many orders from abroad and global economic conditions. However, in 2019, it
will decrease again to 110,998 in 2020 due to the conditions of the co-19
pandemic. By 2021 it will increase drastically to reach 128,065.
Graph 5. Consumer Tendency Index in Indonesia
Source: https://www.bps.go.id/ Year 2010-2021 (data processed 2022)
As can be seen in the consumer tendency index table in Indonesia, which
began in 2010, was 176,988 and decreased in 2011 to 170,243. In 2013 and 2014,
it experienced growth and decreased again in 2015 to 180,065 and continued to
rise until, in 2021, it reached 193,993. This rise and fall in the consumer
tendency index occurs due to increases or decreases in purchases of durable
goods, decreases in the number of tourists, and decreases in the holding of
celebrations or parties.
Graph 6. ZIS Acceptance in Indonesia
Source: https://baznas.go.id Year 2010-2021 (data processed
2022)
The graphic above shows that Indonesia's receipt of zakat,
infaq, and alms funds is increasing yearly. In 2010, the receipt of ZIS funds
was 177.654 billion; in the following year, 2011, it increased to 188.599
billion, and the increase from 2010 to 2018 tended to be sloping. A significant
increase occurred from 2019 to 2021, initially 248.987 billion, until 2021, it
reached 365.462 billion. However, this increase does not necessarily meet the
target of achieving revenue considering that Indonesia's population in 2020
alone is around 273.5 people and there are still many people who do not pay
zakat, infaq and alms which are managed directly by official zakat management
organizations so that it has an impact on the number of zakat fund receipts
active fluctuating alms infaq, this is evidenced by in 2020 unrecorded infaq
and community alms of Rp. 61.25 Trillion.
The increasing receipt of zakat, infaq, and alms funds will
undoubtedly boost the amount of zakat distributed as in research conducted by
Purwanti, which states that zakat, infaq, and alms funds have a positive impact
on economic growth in Indonesia and, of course, affect mustahik consumption so
that it has an impact on aggregate consumption and can also increase real
national GDP.
Based on the background above, this research aims to find out
and analyze the effect of life expectancy, wholesale price index, business
tendency index, and consumer tendency index on economic growth with receipt of
zakat, infaq and alms as intervening variables in Indonesia.
METHODS
According to the issues raised in this study, the approach
used is quantitative. The type of research used in this research is associative
research. This study uses secondary data in numbers,
which are then processed using SPSS Version 24 software. The population in this
study is Indonesia's Economic Growth in the first quarter of 2005 - the second
quarter of 2022, seen from the percentage increase from year to year (year on
year). So, in this case, the data used is 70 quarters. This study took samples
from data from the Central Statistics Agency (BPS), Word Bank, and BAZNAS data
for the first quarter of 2005 – the second quarter of 2022. The data analysis
technique used in this study was multiple linear and hypothesis testing.
RESULTS AND DISCUSSION
Multiple
Linear Regression Test
Multiple linear regression
analysis was used to test the hypothesis to test the effect of the variables on
life expectancy, IHPB, ITB, and ITK.
Table 5. Results of the Phase I
Multiple Linear Regression Test
Independent
Variable |
Regression
Coefficient |
std. Error |
Sig. |
Constant Life
expectancy IHPB ITB ITK |
1,130 0.565 0.087 0.480 0.010 |
0.125 0.018 0.003 0.003 0.002 |
0.000 0.023 0.017 0.000 0.001 |
Dependent
variable = ZIS Acceptance |
Source: SPSS Output Results 24
Based on table 5 above, equation I
can be obtained with the regression equation as follows:
Z = a + b 1
ZX 1 + b 2 ZX 2 + b 3 ZX 3
+ b 4 ZX 4 + E 1
Z = 1.130 + 0.565X 1 + 0.087X 2
+ 0.480X 3 + 0.010X 4 + 0.125
From this
equation, it can be interpreted that the value of a or a constant of 1.130
indicates that if the variable life expectancy (X1), wholesale price
index (X2), business tendency index (X3), consumer
tendency index (X4) has a value of 0, then the receipt of zakat,
infaq and alms (Z) will be worth 1.130. The coefficient value of life
expectancy (X1) is 0.565 with a positive sign, this indicates that
for every 1% increase in life expectancy, the receipt of zakat, infaq and alms
is 056.5 or 56.5%. Vice versa, for every 1% decrease in the value of life
expectancy, ZIS revenue will decrease by 0.565 or 56.5%, assuming other
variables are constant.
The value
of the wholesale price index coefficient (X2) is 0.087 with a
positive sign; this indicates that for every 1% increase in the wholesale price
index, ZIS revenue will increase by 0.087 or 8.7%. Vice versa, every time there
is a decrease in the wholesale price index by 1%, ZIS revenue will decrease by
0.087 or 8.7%, assuming other variables are constant. The coefficient value of
the business tendency index (X3) is 0.480 with a positive sign; this
indicates that for every 1% increase in the business tendency index, ZIS
revenue will increase by 0.480 or 48%. Vice versa, whenever the business
tendency index decreases by 1%, ZIS revenue will decrease by 0.480 or 48%,
assuming other variables are constant.
The
coefficient value of the consumer tendency index (X4) is 0.010, with
a positive sign. This indicates that every time the consumer tendency index
increases by 1%, ZIS revenue will increase by 0.010 or 1%. Vice versa, every
time the consumer tendency index decreases by 1%, ZIS revenue decreases by
0.010 or 1%; this applies if the other variables are constant.
Table 6.
Results of the Phase II Multiple Linear Regression Test
Independent
Variable |
Regression
Coefficient |
std. Error |
Sig. |
Constant Life expectancy IHPB ITB ITK ZIS acceptance |
9.136 0.351 0.166 0.348 0.550 0.694 |
4,209 2,840 0.286 0.450 0.252 15,234 |
0.037 0.028 0.016 0.043 0.001 0.030 |
Dependent variable = Economic growth |
Source: SPSS Output Results 24
Based on the data table 2.4 above,
equation II can be obtained with the regression equation.
Y = a + b 1 YX 1 +
b 2 YX 2 + b 3 YX 3 + b 4 YX
4 + b 4 YZ + E 2
Y = 9.136 + 0.351X 1 +
0.166X 2 + 0.348X 3 + 0.550X 4 + 0.649Z +
4.209
From this equation, it can be
interpreted that the value of a or a constant of 9.136 indicates that the
variable life expectancy (X1), wholesale price index (X2),
business tendency index (X3), consumer tendency index (X4)
has a value 0. Economic growth (Y) will be worth 9.136. The coefficient value
of life expectancy (X1) is 0.351, with a positive sign. This shows
that every time there is an increase in life expectancy by 1%, economic growth
will increase by 0.351 or 35.1%. And vice versa, every time there is a decrease
in life expectancy by 1%, growth will decrease by 0.351 or 35.1%, assuming
other variables are constant.
The
coefficient value of the wholesale price index (X2) is 0.166, with a
positive sign. This shows that every time there is an increase in the wholesale
price index of 1%, economic growth will increase economic growth by 0.166 or
16.6%. Vice versa, every time the wholesale price index decreases by 1%, growth
will decrease by 0.166 or 16.6%, assuming other variables are constant. The
coefficient value of the business tendency index (X3) is 0.438, with
a positive sign. This shows that every time there is an increase in the
business tendency index of 1%, economic growth will increase by 0.438 or 43.8%,
and vice versa, every time the business tendency index decreases by 1%, growth
will decrease by 0.438 or 43.8% with assuming the other variables are constant.
The
coefficient value of the consumer tendency index (X4) is 0.550, with
a positive sign. This shows that every time there is an increase in the
consumer tendency index by 1%, economic growth will increase by 0.550 or 55%
and vice versa, every time there is a decrease in the consumer tendency index
by 1%, growth will decrease by 0.550 or 55% assuming other variables constant.
The ZIS acceptance coefficient (Z) is 0.694 with a positive sign. This shows
that every time there is an increase in ZIS revenue by 1%, economic growth will
increase by 0.694 or 69.4%, and vice versa, every time there is a decrease in
the consumer tendency index by 1%, growth will decrease by 0.694 or 69.4%
assuming the other variables are constant.
Hypothesis
testing
Testing using a significance level of 0.05 with a
sample (n) = 70 and the independent variable used (k) = 4, the resulting degree
of freedom (df) is df = nk-1 = 70-4-1 = 65 to obtain a t table value
is 2.001. The results of the t-significance
test are as follows:
Table
7. Partial Test Results (Test – T) Phase I
Life Expectancy, IHPB, ITB, ITK on Economic Growth
Variable |
T count |
T table |
Sig. |
|
Constant Life
expectancy IHPB ITB ITK ZIS
acceptance |
12.306 8.154 5,600 7,470 4,165 6,324 |
2,001 2,001 2,001 2,001 2,001 2,001 |
0.037 0.028 0.016 0.043 0.001 0.001 |
|
Dependent
variable = Economic Growth |
||||
(Source: SPSS Output Results 24)
At a significance level of 5%, a ttable value
of 2.001 is obtained, and the following hypothesis testing is obtained: sig.
0.028 (smaller than the sig. level of 0.05). Thus, the variable life expectancy
positively and significantly affects Indonesia's economic growth. Based on
hypothesis 2 above, the IHPB variable (X2) shows a tcount of
5.600 > t table of 2.001 with a sig. 0.016 (smaller
than the sig. level of 0.05). Thus, the IHPB variable has a positive and
significant effect on Indonesia's economic growth. Based on hypothesis 3 above,
the ITB variable (X2) shows a count of 7.470 > t table of
2.001 with a sig. 0.043 (smaller than the sig. level of 0.05). Thus, the ITB
variable has a positive and significant effect on Indonesia's economic growth.
Based on hypothesis 3 above, the ITK variable (X4) shows a count of
4.165 > t table of 2.001 with a sig. 0.001 (smaller than the sig.
0.05 level). Thus, the ITK variable has a positive and significant effect on
Indonesia's economic growth. Based on hypothesis 5 above, the acceptance
variable ZIS (Z) shows a calculated tvalue of 6.324 >
ttable 2.001 with a sig level. 0.001 (smaller than the sig. level of
0.05); thus, it can be concluded that the ZIS acceptance variable positively
and significantly affects economic growth in Indonesia.
Table 8. Partial Test Results (Test – T) Phase II
Life Expectancy, IHPB, ITB, ITK on ZIS Acceptance
Independent
Variable |
T count |
T table |
Sig. |
Constant Life expectancy IHPB ITB ITK |
9.136 7,351 5,166 3,348 4,550 |
2,001 2,001 2,001 2,001 2,001 |
0.037 0.028 0.016 0.043 0.001 |
Dependent variable = ZIS Acceptance |
Source: SPSS Output Results 24
Based on hypothesis 6 above, the life expectancy variable (X1)
shows a tcount of 7.351 > t table of 2.001
with a sig. 0.028 (smaller than the sig. level of 0.05). Thus, it can be
concluded that the variable life expectancy positively and significantly
affects ZIS acceptance. Based on hypothesis 7 above, the IHPB variable (X2)
shows a tcount of 5.166 > t table of 2.001
with a sig. 0.016 (smaller than the sig. level of 0.05). Thus, the IHPB
variable has a positive and significant effect on ZIS acceptance. Based on
hypothesis 8 above, the ITB variable (X3) shows a t count
of 3.348 > t table 2.001 with a sig. 0.016 (smaller
than the sig. level of 0.05). Thus, the ITB variable has a positive and
significant effect on ZIS acceptance. Based on hypothesis 9 above, the ITK
variable (X4) shows a t count of 4.550 > t table
2.001 with a sig. 0.001 (smaller than the sig. 0.05 level). Thus, ITK has
a positive and significant effect on ZIS acceptance.
Simultaneous testing (Test F)
The gain from the F table is 2.53. The stipulation is that there is a simultaneous effect if the calculated
F value > F table.
The following are results of the F
test as follows:
Table
9. Simultaneous Test Results (F Test) Phase I
Life
Expectancy, IHPB, ITB, ITK on ZIS Acceptance
F count |
F table |
Sig. |
6,902 |
2.53 |
0.000 |
Source: SPSS Output Results 24
Based on table 9, the calculated F
value is 6.902> F table is 2.53, so it can be concluded
that there is a simultaneous or joint effect between the variables Life
expectancy, wholesale price index, business tendency index, consumer tendency
index on acceptance zakat, infaq and alms in Indonesia.
Table
10. Simultaneous Test Results (Test F) Phase II
Life
Expectancy, IHPB, ITB, ITK and ZIS Acceptance on Economic Growth
F count |
F table |
Sig. |
3,742 |
2.53 |
0.000 |
Source: SPSS
Output Results 24
Calculated F value
is 3.742 > F table of 2.53, so it can be concluded that
there is a simultaneous or joint effect between the variable’s life expectancy,
wholesale price index, business tendency index, index consumer tendencies and
ZIS acceptance of economic growth in Indonesia.
The Effect of Life
Expectancy on Economic Growth in Indonesia
Based on the
results of the data processing done by researchers, life expectancy partially
has a positive and significant effect on economic growth in Indonesia. It can
be interpreted that when life expectancy increases, the economic growth rate
will increase. Likewise, vice versa, if life expectancy decreases, the economic
growth rate will also decrease.
This research
supports research (Sudirman &
Ahmadi, 2017) that life expectancy affects economic growth; the
higher the life expectancy of a country, that is where the more productive
citizens are so that they can create entrepreneurs who make the economy spin.
Life expectancy positively affects economic growth in countries with large
populations (Akasumbawa et al.,
2021). Life expectancy has a positive effect on economic
growth. This is based on the analysis of the random effect model, where
economic growth also increases every time there is an increase in life
expectancy (Huda &
Indahsari, 2021). Meanwhile, life expectancy positively affects
economic growth in countries with large populations (Young et al., 2019).
However, it is inversely proportional to research
conducted by (Amalia &
Mahmudah, 2020), which concluded that life expectancy had a positive
but insignificant effect on economic growth; this was due to several factors at
that time, which were the incidence of diarrhoea and blindness. When Amalia was
conducting research, the situation was improving, so the government needed to
make efforts to clean up the environment and pay attention to the importance of
education.
Thus, increasing
life expectancy can increase economic growth supported by a high level of
health which can increase the economic growth of a country. Such as the opening
of jobs so that it can directly create jobs and reduce unemployment rates and
carry out special training to support the increase in human resources; with
superior resources, of course, it can face global competition, which is getting
more challenging every day.
The Effect of the
Wholesale Price Index on Economic Growth in Indonesia
Based on the
results of the data processing done by researchers, the wholesale price index
partially has a positive and significant effect on economic growth in
Indonesia. It can be interpreted that when the wholesale price index increases,
the economic growth rate will increase. Likewise, vice versa, if the wholesale
price index decreases, the economic growth rate will also decrease.
The results of this
study support research from (Idris et al., 2014),
obtaining results that WPI affects economic growth;
it is known that the results of the ARFIMA model research were conducted. The
wholesale price index can increase economic growth, and this study uses the
Winter and Arima formulations (Pasokawati &
Darsyah, 2018). Based on the wholesale price index has a positive
and significant effect on non-oil and gas exports in Indonesia (Sirait &
Pangidoan, 2020), which states that the wholesale price index has a
significant effect on economic growth. Moreover, the influence is related to
zakat, infak and alms. In that case, it is supported by research (Novitasari &
Rosyidi, 2018) that the IHPB affects a country's economic growth
through the level of ZIS acceptance because if there is a high price, then
producers can spend their wealth to be zakat, infaq or alms to people in need
so that the person's economy is assisted. The money is ultimately still in
circulation, and the circulation of money will help the economic growth of a
country, of course, and increase prosperity in particular. Zakat will be able
to increase national income, especially since the majority in Indonesia are
Muslim (Armina, 2020). With increasing prices, the income of the people in
that country is significant, so the zakat income that should be issued is also
significant.
Thus, it can be
concluded that increasing the wholesale price index will also increase economic
growth and supported by the receipt of zakat, infaq and alms, the economic
growth of a country will lead to prosperity and prosperity; ZIS benchmarks in regulating
true welfare can be used as guidelines for good standards in the context of
micro and macroeconomics, in fact history has proven that during the reign of
Umar bin Abdul Aziz, the government system could be used as a point of view.
The Effect of the
Business Tendency Index on Economic Growth in Indonesia
Based on the data
processing results that researchers have done; the business tendency index
partially has a positive and significant effect on economic growth in
Indonesia. It can be interpreted that when the business tendency index
increases, the economic growth rate will increase. Likewise, vice versa, if the
business tendency index decreases, the economic growth rate will also decrease.
The business
tendency index has a significant influence on economic growth, which, indeed,
in the economy, there is an economic cycle in the form of income in the form of
money or profit (Maharani et al.,
2017). All business fields experience an increase in
business conditions. The index of business tendencies in Indonesia has
increased; this is caused by several factors, one of which is an increase in
production or business capacity, which can be done through investment, and with
this investment, can participate in improving the economy (Tarigan, 2018).
The Effect of the
Consumer Tendency Index on Economic Growth in Indonesia
Based on the
results of the data processing done by researchers, the consumer tendency index
partially has a positive and significant effect on economic growth in
Indonesia. It can be interpreted that if the consumer tendency index has
increased, then the economic growth rate will have increased. Likewise, vice
versa, if the consumer tendency index decreases, the economic growth rate will
also decrease.
This research
supports research conducted that a high consumer tendency index will affect the
economic conditions of a country accompanied by increased consumer confidence
by offering products that are in line with the target market (Putra, 2021). This is because the target market also creates
consumer interest in purchasing. Regarding the goods or services offered (Diarga, 2020) explains that the economic actors' movements heavily
influence global economic conditions. After the global crisis in 2018, the
global economic situation has not fully recovered. During this period, the
perceptions of economic actors were greatly influenced by the information they
received. The
development of this perception is built in line with how the recipient of the
information processes the information he receives. At the same time, these perceptions will then have
an impact on the quality of decision-making.
Effect of ZIS
Acceptance on Economic Growth in Indonesia
ZIS is not only one
of the critical sectors in Islam but also one of the main factors for the
economic growth of a country, namely the level of zakat, infaq, and alms
receipts. Receiving significant ZIS funds will provide benefits that will later
increase output, absorb labour, distribute people's incomes, and reduce poverty
levels, improving a country's economy. With the acceptance of ZIS, there will also
be a more visible distribution of income if it is distributed and carried out
properly and correctly. This will undoubtedly impact the people's economy and
grow the economy which will lead to the welfare of the country's people.
Therefore, the zakat management sector plays an important role and has
excellent potential to help realize the distribution of income and wealth and
tackle inequality in society. Additionally, ZIS revenue can also function as
providing a Social Safety Net (JPS) and guaranteeing basic needs for the
community, reducing inequality, encouraging the wheels of the economy, and
encouraging the use of funds if the ZIS revenue funds are indeed used
productively.
This research
supports research from (Wulandari &
Pratama, 2022) that the presence of ZIS will affect a country's
economic growth (Badriyah &
Munandar, 2021) and that the distribution of ZIS funds has a
positive and significant effect on economic growth in Indonesia (Anggraini et al.,
2018) which obtained the result that zakat, infaq, and
alms had a positive and significant effect on economic growth in Indonesia.
This was due to the ZIS receipts from mustahik, which could be used as capital
to open business opportunities that would later create new jobs.
Thus, it can be
concluded that the existence of ZIS funds will gradually eliminate poverty,
have an impact on employment, increase people's purchasing power and provide an
optimal income contribution, which has an impact on productivity so that the
rate of economic growth increases and will ultimately increase the aggregate
volume of ZIS collected, which This will further curb the increase in the
inflation rate. If this happens, producers are compelled to double or increase
their production. This usually happens to prominent entrepreneurs because
people's purchasing power has increased.
The Effect of Life
Expectancy on Economic Growth in Indonesia through ZIS Acceptance
Based on the
results of data processing using path analysis carried out by researchers, life
expectancy has a significant positive effect on economic growth in Indonesia
through ZIS acceptance. It can be concluded that if life expectancy increases,
ZIS acceptance will increase. With the increase in ZIS receipts, the velocity
of money within the country also increases; this can indirectly increase
economic growth in a country.
This research
supports research that life expectancy affects economic growth (Sudirman &
Ahmadi, 2017); (Huda &
Indahsari, 2021). The results of his research show that life
expectancy has a positive effect on economic growth. This is based on the
results of a random effect model analysis. Any increase in life expectancy will
also increase economic growth (Young et al., 2019). The resulting research results showed that life
expectancy positively affects economic growth in countries with large
populations. However, it is inversely proportional to the research conducted by
Amalia, who concluded that life expectancy had a positive but insignificant
effect on economic growth. The situation is increasing, so the government needs
to make efforts to clean up the environment and pay attention to the importance
of education, with the results of research which stated that life expectancy
had a positive effect on economic growth in countries with large populations.
However, it is inversely proportional to the research conducted by Amalia, who
concluded that life expectancy had a positive but insignificant effect on
economic growth. The situation is increasing, so the government needs to make
efforts to clean up the environment and pay attention to the importance of
education.
Thus, increasing
life expectancy can increase economic growth supported by a high level of
health which can increase the economic growth of a country. Such as the opening
of jobs so that it can directly create jobs, reduce unemployment rates, and
carry out special training to support the increase in human resources. With
superior resources, it can face global competition, which is getting more
challenging daily.
The
Effect of the Wholesale Price Index on Economic Growth in Indonesia through ZIS
Receipts
Based on the results of data processing using path analysis carried out
by researchers, the wholesale price index has a significant positive effect on
economic growth in Indonesia through ZIS receipts. It can be concluded that if
the wholesale price index increases, ZIS revenue will increase. With increasing
ZIS receipts, the circulation of money within the country also increases; this
can increase economic growth in a country, considering the wholesale price
index (IHPB) is an economic indicator that contains index numbers that show
changes in the purchase price of goods by traders. Great for knowing the
changes that occur in the price of merchandise buyers and predicting prices in
the future.
WPI affects economic growth, and it is known that the results of the
ARFIMA model research conducted (Idris et
al., 2014), (Pasokawati
& Darsyah, 2018) obtained research results
that the wholesale price index can increase economic growth which this research
uses the winter formula and Arima. The results of his research are that the
receipt of zakat, infaq and alms is not only influenced by wholesale trade
prices, but several things can affect it, such as the monetary sector in a
country or the existing real sector (Afendi, 2018) that the amount of zakat
receipts is influenced by macroeconomic variables, one of which is the price of
the large trade itself, this is common because the higher the price, the higher
the level of income, in this case, the goods or services they offer, so that's
where the profit/profit is obtained so that people are knocked his heart is to
carry out both in the form of zakat, infaq or alms which are distributed either
through official bodies or not, this can help the country's economy so that
people in the economically disadvantaged category can still meet their economic
needs even though prices are high (Munandar
& Amirullah, 2021).
Thus, increasing
the wholesale price index will also increase economic growth, and supported by
the receipt of zakat, infaq and alms, the economic growth of a country will
lead to prosperity and prosperity. ZIS benchmarks in regulating true welfare
can be used as guidelines for good standards in the context of micro and
macroeconomics, in fact history has proven that during the reign of Umar bin Abdul
Aziz his government system, it can be used as a view during his reign there was
a special zakat department.
The
Effect of the Business Tendency Index on Economic Growth in Indonesia through
ZIS Acceptance
Based on the results of data processing using path analysis that
researchers have carried out, the business tendency index has a significant
positive effect on economic growth in Indonesia through ZIS acceptance. It can
be concluded that if the business tendency index increases, ZIS acceptance will
increase. With the increase in ZIS receipts, the velocity of money within the
country also increases; this can indirectly increase economic growth in a
country.
An increase in the business tendency index certainly makes a country's
economy develop; optimistic business people certainly increase their business
results and benefit the country through the taxes they pay. With a high
business tendency index number, it is hoped that it can assist the government
in planning various development policies and improving people's welfare. A high
business tendency index is a hope in increasing the effectiveness of government
policies in regulating the economy. Meanwhile, the business world is expected
to be able to evaluate and predict market demand and investment. The increased
synergy between the government and the business world will reap the creation of
quality sources of economic growth; of course, this will lead to an increase in
the welfare of the wider community accompanied by increased optimism for
entrepreneurs and forecasts of future economic conditions.
This research supports research obtaining results from his research that
the receipt of zakat, infaq and alms is not only influenced by the business
tendency index, but several things can influence it, such as the monetary
sector in a country or the existing real sector (Munandar
& Amirullah, 2021). Reveals that the amount of zakat receipts is
influenced by macroeconomic variables, one of which is the business tendency
itself (Afendi,
2018). Zakat, infaq or alms that
are distributed either through official bodies or not can help the country's
economy so that people in the economically disadvantaged category can still
meet their economic needs even though prices are high and Armina that the
amount of zakat funds kat depends on the wholesale price index in a country,
the higher a price, the lower the amount of ZIS that can be obtained. High
market so that they live arbitrarily, and of course, this can lead to
malnutrition in citizens who live in the country. It has an impact on a
weakened economy, so it is stated that the receipt of ZIS funds has a positive
effect on aggregate growth. Irawan concluded that the amount of zakat, infaq
and alms received was influenced by macroeconomic variables, such as business
tendencies. Increase the country's economic level through ZIS, which is given
to economically guaranteed people.
Thus, it can be concluded that increasing the receipt of zakat, infaq,
and alms funds will increase the economic growth of a country; business people
must be enthusiastic about running their business and be careful in managing it
according to what is taught in Islam so that the assets owned are not only in
themselves. Moreover, their families and business actors are expected to make
ZIS contributions to official management institutions.
The
Effect of the Consumer Tendency Index on Economic Growth in Indonesia through
ZIS Acceptance
Based on the results of data processing using path analysis carried out
by researchers, the consumer tendency index has a significant positive effect
on economic growth in Indonesia through ZIS acceptance. It can be concluded
that if the consumer tendency index increases, ZIS acceptance will increase.
With the increase in ZIS receipts, the velocity of money within the country
also increases; this can indirectly increase economic growth in a country.
This research supports research which states that the productivity of
Indonesian zakat institutions is able to increase the country's economy (Al Parisi,
2017). This is supported by consumer tendencies in the
country, the more consumers or they are able to buy the goods or services
offered, it can be categorized that the public those who live have a pretty
good portion of income and zakat, infaq and alms can be issued because they
have fulfilled the predetermined nisab (Alpriyamah
& Adityawarman, 2017) states that the economic
condition of a country can be seen from the size of the index of business
tendencies in that country, it could be that people who are economically
capable but they are reluctant to implement ZIS, they choose a consumptive and
wasteful life so that they just spend money that should be set aside for other
interests without caring about tomorrow or the next day, this consumptive
behavior is what g making money circulate only to the rich, so that in fact it
is not able to increase or alleviate poverty in the country, stating that ZIS
revenue has a positive effect on the country's economic growth, funds channeled
to mustahik which are then used for production activities, can contribute
optimal income, so that the purchasing power of mustahik will also increase so
that a positive impact on the rate of economic growth will also increase.
Thus, increasing
the distribution of ZIS funds to mustahik will increase mustahik's income so
that consumers' purchasing power increases in purchasing goods and services and
indirectly, economic growth will increase.
CONCLUSION
The results of this study
indicate that life expectancy has a significant positive effect on economic
growth in Indonesia. The results of this study indicate that the wholesale
price index significantly positively affects economic growth in Indonesia. The
results of this study indicate that the business tendency index significantly
positively affects economic growth in Indonesia. The results of this study
indicate that the consumer tendency index significantly positively affects
economic growth in Indonesia. The results of this study indicate that the
receipt of zakat, infaq, and alms has a significant positive effect on
Indonesia's economic growth. The results of this study indicate that life
expectancy significantly affects economic growth in Indonesia through the
receipt of zakat, infaq and alms. The results of this study indicate that the
wholesale price index significantly positively affects economic growth in
Indonesia through the receipt of zakat, infaq and alms. The results of this
study indicate that the business tendency index has a significant positive
effect on economic growth in Indonesia through the receipt of zakat, infaq and
alms. The results of this study
indicate that the consumer tendency index has a significant positive effect on
economic growth in Indonesia through the receipt of zakat, infaq and alms.
REFERENCES
Afendi, A. (2018). Pengaruh Variabel Makroekonomi Terhadap
Jumlah Penerimaan Zakat di Badan Amil Zakat Nasional (Baznas) Pusat Tahun
2012–2016. Jurnal Ekonomi Dan Perbankan Syariah, 9(1), 54–69.
Akasumbawa, M. D. D., Adim, A., & Wibowo, M. G. (2021).
Pengaruh Pendidikan, Angka Harapan Hidup dan Jumlah Penduduk Terhadap
Pertumbuhan Ekonomi di Negara dengan Jumlah Penduduk Terbesar di Dunia. Riset,
Ekonomi, Akuntansi Dan Perpajakan (Rekan), 2(1), 11–20. https://doi.org/10.30812/rekan.v2i1.1047
Al Parisi, S. (2017). Tingkat efisiensi
dan produktivitas lembaga zakat di Indonesia. Esensi: Jurnal Bisnis Dan Manajemen, 7(1), 63–72.
Alpriyamah, Q. U., & Adityawarman, A. (2017). Analisis
Faktor-Faktor yang Mempengaruhi Perilaku Kepatuhan (Compliance Behavior)
Pembayaran Zakat Perdagangan (Studi Kasus Pengusaha Muslim Batik di Kota
Pekalongan Tahun 2017). Diponegoro Journal of Accounting, 6(3),
680–692.
Amalia, N., & Mahmudah, M. (2020). Faktor Yang Mempengaruhi
Angka Harapan Hidup Di Provinsi Jawa Timur Tahun 2014 Dengan Melihat Nilai
Statistik Cp Mallows. Jurnal Wiyata: Penelitian Sains Dan Kesehatan, 7(1),
13–19. http://dx.doi.org/10.56710/wiyata.v7i1.157
Anggraini, R., Ababil, R., & Widiastuti, T. (2018). Pengaruh
Penyaluran Dana ZIS dan Tingkat Inflasi terhadap Pertumbuhan Ekonomi Indonesia
Periode 2011-2015. FALAH: Jurnal Ekonomi Syariah, 3(2), 1–11. https://doi.org/10.22219/jes.v3i2.7231
Armina, S. H. (2020). Pengaruh Variabel Makroekonomi Terhadap
Jumlah Penghimpunan Zakat di Indonesia. Jurnal Ekonomi, 25(2), 199–214. https://doi.org/10.24912/je.v25i2.652
Badriyah, U. M., & Munandar, E.
(2021). Pengaruh Dana Zakat, Infak, Sedekah (ZIS) dan Inflasi Terhadap
Pertumbuhan Ekonomi Periode 2010-2019. Jurnal Ekonomi Rabbani, 1(1),
21–31. https://doi.org/10.53566/jer.v1i1.10
Diarga, A. G. (2020). Analisis Persepsi
Bisnis Terhadap Persepsi Konsumen Melalui Indeks Tendensi Bisnis (ITB) dan
Indeks Tendensi Konsumen (ITK) di Indonesia. Cendekia Niaga, 4(2),
70–84. https://doi.org/10.52391/jcn.v4i2.508
Gobel, Y. P. (2020). Pemulihan Ekonomi Indonesia Pasca Pandemi Covid-19 Dengan
Mengkombinasikan Model Filantropi Islam Dan Ndeas Model. Jurnal Tabarru’:
Islamic Banking and Finance, 3(2), 209–223.
He, G., Xie, Y., & Zhang, B. (2020). Expressways, GDP,
and the environment: The case of China. Journal of Development Economics,
145, 102485. https://doi.org/10.1016/j.jdeveco.2020.102485
Huda, N., & Indahsari, K. (2021). Pengaruh Rata-Rata Lama
Sekolah, Angka Harapan Hidup Dan Pengeluaran Perkapita Terhadap Pertumbuhan
Ekonomi Provinsi Jawa Timur Tahun 2014-2018. Buletin Ekonomika Pembangunan,
2(1). https://doi.org/10.21107/bep.v2i1.13849
Idris, S., Goejantoro, R., & Nasution, Y. N. (2014).
Pemodelan Dan Peramalan Indeks Harga Perdagangan Besar (IHPB) Dengan
Menggunakan ARFIMA (Studi Kasus: IHPB Provinsi Kalimantan Timur bulan Januari
2002–Desember 2006 dan Januari 2009-September 2013). Jurnal Eksponensial, 5(2), 85–95.
Maharani, D. P. P., Setiawina, N. D.,
& Purbadharmaja, I. B. P. (2017). Pengaruh Suku Bunga, Indeks Harga Konsumen dan Kurs Terhadap Jumlah Kredit
Total dan Pertumbuhan Ekonomi Bali. E–Jurnal Ekonomi Dan Bisnis Universitas Udayana, 1049–1078.
Muda, R., Koleangan, R. A. M., &
Kalangi, J. B. (2019). Pengaruh angka harapan hidup, tingkat pendidikan dan
pengeluaran perkapita terhadap pertumbuhan ekonomi di sulawesi utara pada tahun
2003-2017. Jurnal Berkala Ilmiah Efisiensi, 19(01).
Munandar, E., & Amirullah, M.
(2021). Kontribusi Sektor Riil, Sektor Moneter dan Tingkat Inflasi Terhadap
Penerimaan Zakat, Infak dan Sedekah di Indonesia. Al-Infaq: Jurnal Ekonomi
Islam, 12(1), 84–98. https://doi.org/10.32507/ajei.v12i1.866
Novitasari, K., & Rosyidi, S.
(2018). Jumlah Dana Zakat dan Faktor-Faktor Makroekonomi yang Mempengaruhinya. Jurnal
Ekonomi Syariah Teori Dan Terapan, 5(9), 743–758.
Pasokawati, T., & Darsyah, M. Y.
(2018). Analisis Peramalan Menggunakan Pemulusan Winter Dan Arima Pada Indeks
Harga Perdangangan Besar Indonesia Kelompok Komoditi Pertanian Tahun 2016–2017.
Prosiding Seminar Nasional Mahasiswa Unimus, 1.
Putra, A., & Kesumajaya, I. W. W.
(2017). Pengaruh Produksi Indeks Harga Perdagangan Besar Dan Kurs Dollar
Amerika Serikat Terhadap Ekspor Kayu Lapis Di Indonesia. Fakultas Ekonomi
Dan Bisnis, Universitas Udayana, Bali.
Putra, W. E. (2021). Pengaruh
Pertumbuhan Ekonomi, Indeks Harga Konsumen, dan Indeks Tendensi Konsumen
terhadap Pertumbuhan Usaha Mikro Kecil dan Menengah di Jawa Tengah.
Universitas Gadjah Mada.
Sirait, A. B., & Pangidoan, E.
(2020). Pengaruh Indeks Harga Perdagangan Besar (IHPB), Inflasi Dan Nilai Tukar
Rupiah Terhadap Ekspor Nonmigas Di Indonesia. Jurnal Sains Ekonomi (JSE), 1(2), 20–30. https://doi.org/10.36294/jse.v1i2.1944
Sudirman, S., & Ahmadi, A.
(2017). Pengaruh Pendidikan, Upah dan Angka Harapan Hidup terhadap
Produktivitas Tenaga Kerja Sektor Ekonomi di Provinsi. Jurnal Ilmiah Universitas Batanghari
Jambi, 14(4),
65–72. http://dx.doi.org/10.33087/jiubj.v14i4.226
Sukirno, S. (2013). Makroekonomi Teori
Pengantar (Ketiga). Jakarta: Rajawali Pers.
Syahputra, R. (2017). Analisis
faktor-faktor yang mempengaruhi pertumbuhan ekonomi di Indonesia. Jurnal
Samudra Ekonomika, 1(2), 183–191.
Tarigan, S. B. (2018). Pengaruh Jatuh
Tempo Utang, Kepemilikan Institusional, Kepemilikan Manajerial, Ukuran
Perusahaan, dan Umur Perusahaan terhadap Efisiensi Investasi pada Perusahaan
Manufaktur di Bursa Efek Indonesia (Periode 2013-2016). STIE YKPN.
Wulandari, I., & Pratama, A. A. N.
(2022). Analisis Pengaruh Dana ZIS (Zakat, Infak, Sedekah), Pertumbuhan
Ekonomi, Angka Harapan Hidup, Rata-Rata Lama Sekolah, Dan Pengeluaran Perkapita
Terhadap Tingkat Kemiskinan Di Indonesia Periode 2010-2021. Jurnal Ilmiah Ekonomi Islam, 8(3), 3301–3309. http://dx.doi.org/10.29040/jiei.v8i3.6501
© 2023 by the authors. Submitted for
possible open access publication under the terms and conditions of the
Creative Commons Attribution (CC BY SA ) license |