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OFW
money fails to bridge income inequality—economist
By JEREMAIAH
OPINIANO
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Overseas
Filipinos send money to families back home,
as well as donations to rural development causes
such as livelihood, benefiting the above vendor
who’s a recipient of help from the US-based
charity Save-a-Tahanan, Inc. However, an economist
says billion-dollar remittances are not enough
to bridge income inequality and poverty in the
Philippines.
Photo courtesy of Save-a-Tahanan, Inc. (USA),
www.save-a-tahanan.org
MAKATI CITY (OFW Journalism Consortium)–EXTREME
reliance on money from Filipinos overseas hasn’t
helped the country get out of the poverty rut
and may even hobble the poor’s income
capability, says an economist.
Using government’s triennial Family Income
and Expenditures Survey, University of the Philippines
economist Ernesto Pernia said in a research
that remittances from overseas Filipino workers
may be contributing to the persistence of high
inequality in the country. |
The
2003 and 2006 datasets of the FIES saw the total
Gini coefficient (or the measure of inequality of
wealth) showed it hardly-changing: 0.4605 Gini coefficient
in 2003 to 0.4580 in 2006.
As overseas employment and permanent settlement
will continue to persist in the Philippines, Pernia
said remittances “could result to a further
worsening of income inequality”.
“Such inequality tends to dampen the poverty
reduction effect of remittances—FIES reveals
that poverty incidence rose to 32.9 percent in 2006
from 30 percent in 2003.”
The poverty incidence figure reflects that percentage
of the population that is considered poor.
The recently-released 2006 FIES showed there were
27.6 million poor Filipinos, some 3.6 million more
than the survey’s last conduct in 2003. This
means the number of Filipinos who said they were
poor increased to 700,000 or a total of 4.7 million
poor families in 2006.
In a press conference early March, socio-economic
planning secretary Augusto Santos declined to link
remittances and income gap between the “haves”
and have-nots”.
He said he wants to the 2009 FIES done first before
citing effects of remittances to poverty and inequality.
But Pernia, using data on the FIES covering the
years 1994, 1997, 2000, and 2003, noted that while
remittances expanded household incomes, the gain
is smaller for the lower quintile groups (21.5 percent)
compared to the upper quintile group (46.3 percent).
“Despite their beneficial effects, remittances
cannot be relied on as a principal instrument for
reducing poverty or fostering the country’s
long-run development,” he said in his paper
titled “Migration, Remittances, Poverty, and
Inequality”.
Benefits
OF COURSE, Pernia said, benefits of OFW remittances
to purses of Filipinos couldn’t be discounted.
Remittances have positive and significant effects
on the well-being of poor households, particularly
on the two lowest income quintiles of the poor,
Pernia said his data analyses reveal.
If the first poorest income quintile group increases
remittance receipts by P1,000 per capita, it leads
to P1,789 additional annual family spending per
person.
Meanwhile, for the second poorest income quintile
group, the household expenditure per capita rises
to P2,177 for every P1,000 additional per capita
remittance.
Of course, Pernia says, the positive effect on remittances
on all these households’ well-being rises
to the point that remittances “become insignificant
for the next higher quintiles,” and these
“probably matter less to richer families”.
“The positive effect of remittances on household
incomes rises monotonically from 1 percent for the
lowest quintile, 4.8 percent for middle quintile,
and 16 percent for the top quintile,” Pernia
said.
Actually, without remittances, the Philippines would
have more than 26.5 million poor.
But thanks to remittances, the poverty headcount
is lower at 24 million, Pernia’s data found.
Having remittances as a share in a household’s
income “raises the likelihood (that a) household
will get out of poverty,” Pernia said.
“Poverty incidence for the bottom quintile
was slightly reduced by 0.1 percent, and by 13 percent
for the second quintile, while that in all three
upper quintiles were completely wiped out,”
he added.
Aside from the FIES data, Pernia also processed
information from the annual Survey on Overseas Filipinos,
and the quarterly Labor Force Survey of the National
Statistics Office.
He also used gross regional domestic product data
from the national income accounts to see the regional
development impact of remittances.
Gap
REGIONS that have more overseas workers benefit
more from remittances compared to other regions
that have less numbers of OFWs, Pernia said.
Remittances have brought positive and significant
effects on poverty reduction in the regions –to
the point that a 10 percent increase in the ratio
of remittance per capita to gross regional domestic
product (GRDP) per capita sees a 2.6-percent increase
of households lifted out of poverty, Pernia said.
But ironically, Pernia said, these benefits of remittances
to regional development “do not matter to
the worst-off as much as the better-off”.
Pernia found that regional development does not
benefit low-income household as much as higher income
families.
Six of the country’s ten poorest provinces
are in the Mindanao island group, while provinces
with the lowest poverty incidence rates were in
Luzon, FIES data showed.
FIES data also showed that poverty rates in the
regions increased, and that provincial poverty measures
also highlighted regional income disparities.
Trying a conjecture, Pernia discovered that had
Filipinos stayed to work within the country’s
borders, domestic remittances appeared to be “more
welfare-enhancing for the poor than are international
remittances”.
Remittances are good for the poor, “but even
better for the less poor and better-off,”
Pernia reiterated.
But Santos emphasized during the press briefing
that at least the 32.9-percent poverty incidence
rate in 2006 is lower than 33 percent rate in the
year 2000.
The number of individual Filipinos who are poor
may be lower in 2006 (26.9 million) compared to
year 2000 figures (27.5 million).
Still, the number of Filipino families who are poor
rose: 4.7 million in 2006 versus 4.2 million in
2000, FIES data showed.
The increase is glaring because the country posted
consistent higher GDP rates, which is fueled by
consumption that in turn is powered by remittances.
Santos said the country’s GDP growth and improved
fiscal condition “provided us enough breathing
space to spend more on social services in the years
ahead”.
Santos said the rise of poverty incidence is “an
income distribution issue,” even while the
Philippines continues to receive billion-dollar
remittances from OFWs.
Table 1: household income without and with remittances
(all households), 2003
(1)
Income quintile
|
(2)
Income w/o remittance |
(3)
Mean remittance |
(4)
Remittance raises income by (%) |
1 |
34,410.4 |
335.8 |
1.0 |
2 |
61,163.3 |
1,363.5 |
2.2 |
3 |
91,849.7 |
4,411.8 |
4.8 |
4 |
141,978.1 |
13,114.0 |
9.2 |
5 |
336,173.5 |
54,667.5 |
16.3 |
Table 2: Household income without and with remittances
(households with remittances), 2003
(1)
Income quintile |
(2)
HHs receiving remittance (%) |
(3)
Income w/o remittance |
(4)
Mean remittance |
(5)
Remittance raises income by (%) |
1 |
5.0 |
31,037.6 |
6,669.2 |
21.5 |
2 |
11.3 |
51,711.0 |
12,100.0 |
23.4 |
3 |
19.8 |
75,158.1 |
22,347.5 |
29.7 |
4 |
30.5 |
114,106.1 |
43,050.0 |
37.7 |
5 |
44.1 |
267,903.9 |
123,971.2 |
46.3 |
Table 3: Household income without and with remittances
adjusted for foregone domestic earnings, 2003
(1)
Income quintiles |
(2)
Adjusted income w/ remittance |
(3)
Remittance raises adjusted income by
(%) |
1 |
29,946.2 |
-3.5 |
2 |
50,040.9 |
-3.2 |
3 |
76,492.4 |
1.8 |
4 |
124,064.8 |
8.7 |
5 |
308,673.8 |
15.2 |
Table
4: Poverty incidence by quintile (all households),
2003
(1)
Income quintile |
Incidence |
(4)
Change
(%) |
(2)
Without remittance (%) |
(3)
With remittance
(%) |
1 |
97.9 |
97.8 |
-0.1 |
2 |
33.4 |
29.1 |
-12.7 |
3 |
4.8 |
0.0 |
-100.0 |
4 |
3.8 |
0.0 |
-100.0 |
5 |
3.3 |
0.0 |
-100.0 |
| Total
(%) |
33.4 |
30.3 |
-9.3 |
| Total
(‘000) |
26,475.0 |
24,017.9 |
-9.3 |
end
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