Efektivitas Program
Perlindungan Sosial (PPS)
Asep Suryahadi, Niken Kusumawardhani, Ridho Al Izzati
Outline
•
Pengantar
•
Dampak terhadap Kemiskinan dan
Ketimpangan
•
Kinerja Penargetan
•
Skenario Perluasan Cakupan dan
Penambahan Manfaat
•
Skenario Kombinasi Program
Pengantar
•
Analisis dilakukan pada empat PPS utama: BLSM,
BSM, PKH, dan Raskin
•
Data Susenas 2015 (PKH 2014)
•
Simulasi mikro menggunakan model AIDS (Almost
Ideal Demand System) (Deaton dan Muellbauer,
1980):
–
8 komoditi + tabungan
•
(1) Bahan makanan, (2) Makanan jadi, (3) Perumahan, (4) Kesehatan, (5)
Pendidikan, (6) Transportasi, (7) Pakaian, (8) Lainnya
•
MPS perdesaan: 0.3; MPS perkotaan: 0.2
–
Hasil bersifat indikatif
Mekanisme simulasi mikro
𝑌
= 𝑃𝑒𝑛𝑔𝑒𝑙𝑢𝑎𝑟𝑎𝑛 𝑟𝑢𝑚𝑎ℎ 𝑡𝑎𝑛𝑔𝑔𝑎 𝑝𝑒𝑟 𝑏𝑢𝑙𝑎𝑛
𝑌_𝑐𝑜𝑢𝑛𝑡𝑒𝑟𝑓𝑎𝑐𝑡𝑢𝑎𝑙 = 𝑃𝑒𝑛𝑔𝑒𝑙𝑢𝑎𝑟𝑎𝑛 𝑟𝑢𝑚𝑎ℎ 𝑡𝑎𝑛𝑔𝑔𝑎 𝑝𝑒𝑟 𝑏𝑢𝑙𝑎𝑛 𝑠𝑒𝑡𝑒𝑙𝑎ℎ 𝑑𝑖𝑘𝑢𝑟𝑎𝑛𝑔𝑖 𝑚𝑎𝑛𝑓𝑎𝑎𝑡 𝑝𝑟𝑜𝑔𝑟𝑎𝑚
𝐵𝑠
= 𝑀𝑎𝑛𝑓𝑎𝑎𝑡 𝑝𝑟𝑜𝑔𝑟𝑎𝑚 (𝑟𝑢𝑝𝑖𝑎ℎ)
∆𝑌
= 𝑃𝑒𝑟𝑢𝑏𝑎ℎ𝑎𝑛 𝑝𝑒𝑛𝑔𝑒𝑙𝑢𝑎𝑟𝑎𝑛
𝑒
= 𝐸𝑙𝑎𝑠𝑡𝑖𝑠𝑖𝑡𝑎𝑠 𝑝𝑒𝑛𝑑𝑎𝑝𝑎𝑡𝑎𝑛 𝑦𝑎𝑛𝑔 𝑑𝑖𝑝𝑒𝑟𝑜𝑙𝑒ℎ 𝑑𝑎𝑟𝑖 𝐴𝐼𝐷𝑆
𝑊
= 𝑃𝑟𝑜𝑝𝑜𝑟𝑠𝑖 𝑝𝑒𝑛𝑔𝑒𝑙𝑢𝑎𝑟𝑎𝑛 𝑢𝑛𝑡𝑢𝑘 8 𝑘𝑜𝑚𝑜𝑑𝑖𝑡𝑎𝑠 𝑏𝑎𝑟𝑎𝑛𝑔
𝑌_ 𝑠𝑖𝑚𝑢𝑙𝑎𝑡𝑖𝑜𝑛
=𝑃𝑒𝑛𝑔𝑒𝑙𝑢𝑎𝑟𝑎𝑛 𝑟𝑢𝑚𝑎ℎ 𝑡𝑎𝑛𝑔𝑔𝑎 𝑝𝑒𝑟 𝑏𝑢𝑙𝑎𝑛 𝑠𝑒𝑡𝑒𝑙𝑎ℎ 𝑑𝑖𝑡𝑎𝑚𝑏𝑎ℎ𝑘𝑎𝑛 𝑚𝑎𝑛𝑓𝑎𝑎𝑡 𝑝𝑟𝑜𝑔𝑟𝑎𝑚
𝑀𝑃𝐶
= 𝑀𝑎𝑟𝑔𝑖𝑛𝑎𝑙 𝑃𝑟𝑜𝑝𝑒𝑛𝑠𝑖𝑡𝑖 𝑡𝑜 𝐶𝑜𝑛𝑠𝑢𝑚𝑒
𝑌
𝑐𝑜𝑢𝑛𝑡𝑒𝑟𝑓𝑎𝑐𝑡𝑢𝑎𝑙= 𝑌 − 𝐵𝑠
(1)
𝑌𝑐 = 𝑌
𝑠𝑖𝑚𝑢𝑙𝑎𝑡𝑖𝑜𝑛/ 𝐽𝑢𝑚𝑙𝑎ℎ 𝑎𝑛𝑔𝑔𝑜𝑡𝑎 𝑟𝑢𝑚𝑎ℎ 𝑡𝑎𝑛𝑔𝑔𝑎
(2)
𝑌
𝑠𝑖𝑚𝑢𝑙𝑎𝑡𝑖𝑜𝑛= 1 + 𝑒 ∗ ∆𝑌
∗ W ∗ 𝑌
∆𝑌 = 𝑀𝑃𝐶 ∗ [( 𝑌 + 𝐵𝑠)/𝑌 )-1]
•
Counterfactual (tanpa Program)
Manfaat PPS relatif signifikan bagi penduduk miskin,
terutama bila sasaran program terintegrasi
5 11.1% 7.0% 5.5% 4.5% 3.8% 3.2% 2.7% 2.2% 1.7% 1.0% 5.5% 3.7% 3.0% 2.6% 2.2% 1.9% 1.7% 1.4% 1.1% 0.6% 12.6% 11.0% 9.8% 8.6% 7.8% 6.4% 5.9% 4.5% 3.3% 2.1% 1.6% 1.1% 0.8% 0.7% 0.6% 0.5% 0.5% 0.4% 0.3% 0.2% 0.0% 2.0% 4.0% 6.0% 8.0% 10.0% 12.0% 14.0% 16.0% 18.0% 20.0% 1 2 3 4 5 6 7 8 9 10
Desil pengeluaran rumah tangga
Proporsi manfaat terhadap median pengeluaran rumah tangga
Dampak terhadap
Kemiskinan dan
Dampak PPS terhadap tingkat
kemiskinan (P0)
7 11.2% 11.2% 11.2% 11.2% 11.6% 11.5% 11.2% 11.9% 9.0% 9.5% 10.0% 10.5% 11.0% 11.5% 12.0% 12.5% 13.0%BLSM
BSM
PKH
RASKIN/RASTRA
K emisk in an Baseline Counterfactual-0.3%
-6.1%
-3.3%
-2.2%
Dampak PPS terhadap kedalaman
kemiskinan (P1)
1.90% 1.90% 1.90% 1.90% 2.00% 2.00% 1.90% 2.10% 1.80% 1.85% 1.90% 1.95% 2.00% 2.05% 2.10% 2.15%BLSM
BSM
PKH
RASKIN/RASTRA
Tin gk at k ed alaman kemisk in an Baseline Counterfactual-5.0%
-5.0%
0
-9.5%
Dampak PPS terhadap keparahan
kemiskinan (P2)
9 0.53% 0.53% 0.53% 0.53% 0.57% 0.55% 0.53% 0.59% 0.40% 0.45% 0.50% 0.55% 0.60% 0.65% 0.70% BLSM BSM PKH RASKIN/RASTRA K ep ar ah an kemisk in an Baseline Counterfactual-7.0
%
-3.6
%
0
-10.2
%
Dampak PPS terhadap ketimpangan
(Rasio Gini)
0.407 0.407 0.407 0.407 0.408 0.408 0.407 0.410 0.39 0.395 0.4 0.405 0.41 0.415 0.42BLSM
BSM
PKH
RASKIN/RASTRA
G in i Baseline Counterfactual-0.2%
-0.2%
0
-0.7%
Penduduk miskin memiliki kemungkinan lebih besar
untuk menerima manfaat program, tetapi
penduduk non-miskin masih memiliki kemungkinan
cukup besar untuk juga menerima manfaat program
43.4 34.5 30.0 27.4 21.9 17.3 12.8 9.1 4.7 1.3 23.2 20.0 18.4 16.3 13.3 10.5 7.8 5.9 2.9 1.3 69.1 64.0 59.2 56.0 49.0 43.4 35.3 27.2 17.0 6.6 9.3 6.7 4.6 3.8 2.5 2.1 1.5 0.8 0.5 0.2 0 10 20 30 40 50 60 70 80 1 2 3 4 5 6 7 8 9 10 P er sen Desil
Proposi penerima manfaat program pada setiap desil pengeluaran
PKH memiliki penargetan yang paling
tajam dan Raskin yang paling mendatar
13 0 5 10 15 20 25 30 35 1 2 3 4 5 6 7 8 9 10 P er sen Desil
Distribusi penerima manfaat program berdasarkan desil pengeluaran
Penerima manfaat tiga program pada desil
termiskin relatif sedikit
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% 1 2 3 4 5 6 7 8 9 10
Persentase penerima manfaat program per desil
Skenario Perluasan
Cakupan dan
Penambahan Manfaat
Program
Skenario dampak BSLM terhadap
tingkat kemiskinan
11.2% 11.6% 11.5% 10.5% 9.8% 9.8% 11.2% 11.6% 11.4% 9.3% 8.2% 8.1% 11.2% 11.6% 11.1% 8.2% 6.8% 6.7% 2.0% 4.0% 6.0% 8.0% 10.0% 12.0% 14.0%Baseline
Counterfactual Percentile 5
Percentile 10
Percentile 25
Percentile 40
Pov
erty
Skenario dampak BLSM terhadap
ketimpangan
17 0.407 0.408 0.407 0.406 0.404 0.402 0.407 0.408 0.406 0.404 0.399 0.395 0.407 0.408 0.405 0.402 0.394 0.389 0.38 0.385 0.39 0.395 0.4 0.405 0.41 0.415Baseline
Counterfactual
Percentile 5
Percentile 10
Percentile 25
Percentile 40
Gin
i
Skenario dampak BSM terhadap
tingkat kemiskinan
11.2% 11.5% 11.4% 10.9% 10.5% 10.4% 11.2% 11.5% 11.4% 10.8% 10.3% 10.3% 11.2% 11.5% 11.4% 10.7% 10.2% 10.1% 2.0% 4.0% 6.0% 8.0% 10.0% 12.0% 14.0%Baseline
Counterfactual Percentile 5
Percentile 10 Percentile 25 Percentile 40
Pov
erty
Skenario dampak BSM terhadap
ketimpangan
19 0.407 0.408 0.407 0.407 0.405 0.404 0.407 0.408 0.407 0.407 0.405 0.404 0.407 0.408 0.407 0.407 0.405 0.403 0.38 0.385 0.39 0.395 0.4 0.405 0.41 0.415Baseline
Counterfactual
Percentile 5
Percentile 10
Percentile 25
Percentile 40
G
ini
Skenario dampak PKH terhadap tingkat
kemiskinan
11.2% 11.2% 10.9% 9.2% 7.6% 7.4% 11.2% 11.2% 9.9% 7.0% 4.9% 4.6% 11.2% 11.2% 8.9% 5.5% 3.2% 2.9% 2.0% 4.0% 6.0% 8.0% 10.0% 12.0% 14.0%Baseline
Counterfactual
Percentile 5
Percentile 10
Percentile 25
Percentile 40
Pov
erty
Skenario dampak PKH terhadap
ketimpangan
21 0.407 0.407 0.405 0.404 0.400 0.397 0.407 0.407 0.401 0.397 0.394 0.388 0.407 0.407 0.399 0.394 0.388 0.380 0.380 0.385 0.390 0.395 0.400 0.405 0.410 0.415Baseline
Counterfactual
Percentile 5
Percentile 10
Percentile 25
Percentile 40
Gini
Skenario dampak Raskin terhadap
tingkat kemiskinan
11.2% 11.9% 11.9% 10.9% 10.0% 10.0% 11.2% 11.9% 11.8% 9.7% 8.4% 8.3% 11.2% 11.9% 11.5% 8.6% 6.9% 6.8% 2.0% 4.0% 6.0% 8.0% 10.0% 12.0% 14.0%Baseline
Counterfactual
Percentile 5
Percentile 10
Percentile 25
Percentile 40
Pov
erty
Skenario dampak Raskin terhadap
ketimpangan
23 0.407 0.410 0.409 0.408 0.405 0.403 0.407 0.410 0.408 0.406 0.400 0.396 0.407 0.410 0.407 0.404 0.395 0.389 0.380 0.385 0.390 0.395 0.400 0.405 0.410 0.415Baseline
Counterfactual
Percentile 5
Percentile 10
Percentile 25
Percentile 40
Gin
i
Skenario Kombinasi
Program
Skenario dampak BLSM & BSM
terhadap tingkat kemiskinan
25 11.20% 11.66% 11.51% 9.91% 8.91% 8.81% 11.20% 11.66% 11.12% 8.15% 6.64% 6.50% 11.20% 11.66% 10.25% 6.60% 4.80% 4.60% 0.00% 2.00% 4.00% 6.00% 8.00% 10.00% 12.00% 14.00%
Baseline
Counterfactual
Percentile 5
Percentile 10
Percentile 25
Percentile 40
Pov
erty
Skenario dampak BLSM & BSM
terhadap ketimpangan
0.407 0.409 0.407 0.405 0.401 0.398 0.407 0.409 0.405 0.402 0.394 0.388 0.407 0.409 0.404 0.399 0.387 0.379 0.35 0.36 0.37 0.38 0.39 0.4 0.41 0.42Baseline
Counterfactual
Percentile 5
Percentile 10
Percentile 25
Percentile 40
Gini
Skenario dampak BLSM & Raskin
terhadap kemiskinan
27 11.20% 12.31% 11.37% 9.68% 8.39% 8.27% 11.20% 12.33% 10.56% 7.55% 5.75% 5.56% 11.20% 12.33% 9.44% 5.95% 3.91% 3.67% 0.00% 2.00% 4.00% 6.00% 8.00% 10.00% 12.00% 14.00%Baseline
Counterfactual
Percentile 5
Percentile 10
Percentile 25
Percentile 40
Pov
erty
Skenario dampak BLSM & Raskin
terhadap ketimpangan
0.407 0.411 0.406 0.406 0.4 0.396 0.407 0.411 0.404 0.402 0.391 0.383 0.407 0.411 0.403 0.398 0.382 0.371 0.36 0.37 0.38 0.39 0.4 0.41 0.42Baseline
Counterfactual
Percentile 5
Percentile 10
Percentile 25
Percentile 40
Gini
Skenario dampak BSM & Raskin
terhadap tingkat kemiskinan
29 11.20% 12.21% 11.20% 9.96% 8.41% 8.25% 11.20% 12.21% 10.22% 7.70% 5.58% 5.36% 11.20% 12.21% 9.43% 5.95% 3.91% 3.67% 0.00% 2.00% 4.00% 6.00% 8.00% 10.00% 12.00% 14.00%
Baseline
Counterfactual
Percentile 5
Percentile 10
Percentile 25
Percentile 40
Pov
erty
Skenario dampak BSM & Raskin
terhadap ketimpangan
0.407 0.411 0.406 0.406 0.401 0.396 0.407 0.411 0.404 0.402 0.391 0.382 0.407 0.411 0.403 0.398 0.382 0.371 0.36 0.37 0.38 0.39 0.4 0.41 0.42Baseline
Counterfactual
Percentile 5
Percentile 10
Percentile 25
Percentile 40
Gini
Skenario dampak BSLM & BSM &
RASKIN terhadap tingkat kemiskinan
31 11.20% 12.59% 11.53% 9.99% 8.07% 7.89% 11.20% 12.59% 10.23% 7.43% 4.94% 4.67% 11.20% 12.59% 8.84% 5.58% 2.87% 2.57% 0.00% 2.00% 4.00% 6.00% 8.00% 10.00% 12.00% 14.00%
Baseline
Counterfactual Percentile 5
Percentile 10 Percentile 25 Percentile 40
Po
ver
ty
Skenario dampak BLSM & BSM &
Raskin terhadap ketimpangan
0.407 0.412 0.407 0.407 0.4 0.395 0.407 0.412 0.404 0.402 0.388 0.378 0.407 0.412 0.402 0.397 0.378 0.363 0.36 0.37 0.38 0.39 0.4 0.41 0.42