INDONESIA ECONOMIC QUARTERLY 06|18 LEARNING MORE, GROWING FASTER
Frederico Gil Sander, Lead Economist June 6, 2018
QUARTERLY 06|18 LEARNING Lead Economist MORE, GROWING FASTER June - - PowerPoint PPT Presentation
INDONESIA ECONOMIC Frederico Gil Sander, QUARTERLY 06|18 LEARNING Lead Economist MORE, GROWING FASTER June 6, 2018 Rencana untuk presentasi ini 1. Apakah saat ini perekonomian Indonesia sehat? 2. Tidak tayang di Bioskop Lebaran ini: Kejarlah
Frederico Gil Sander, Lead Economist June 6, 2018
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Source: BPS; World Bank staff calculations
GDP growth yoy and contributions, percentage points
2 4 6 8 10 Mar-15 Dec-15 Sep-16 Jun-17 Mar-18 Private consumption Government consumption Investment Net exports
Change in inventories GDP
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Source: BPS; World Bank staff calculations
Growth in gross fixed capital formation yoy and contributions to growth, percent
1 2 3 4 5 6 7 8 Mar-15 Sep-16 Mar-18 Buildings & Structures Machine & Equipment Vehicles Other Equipments Cultivated Bio. Res. Intellectual Property
Av 2003-12, 2.1% Av 2013-17, 1.6%
0% 1% 2% 3% 4%
0% 10% 20% 30% 40% Mining Comm Invest
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Source: World Bank staff; BPS
Higher commodity prices drives up cash flows of mining companies and investment…
LHS: Commodity price index and nominal mining VA, yoy change RHS: contribution of investment to GDP growth (pp)
2.3% 2.6% 4.9% 5.6% 6.1% 6.1% 7.4% 9.3%
0.0% 2.0% 4.0% 6.0% 8.0% 10.0%
Refinery, chemicals, rubber products High-tech manufacturing Commodity sectors (inc. metals manuf.) GVA Traditional services Modern services Government, utilities and
Construction Low-tech manufacturing
Q1 2018 Q3'17-Q1'18
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Source: World Bank staff; BPS. Note: High-tech manufacturing includes electronics, transport equipment and machinery; traditional services include wholesale & retail sales, transport & storage (except air); Modern services are financial services, information & communication, business services, real estate, air transport, health and education; Low-tech manufacturing is mostly food processing.
Yoy growth in gross value-added, by industry, percent
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Source: Bank Indonesia, BPS, Ministry of Finance, World Bank staff projections and calculations
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Index
Source: BPS; World Bank staff calculations
40 45 50 55 60 65 70 75 80 5 10 15 20 25 30 35 40 Nov-17 Dec-17 Jan-18 Feb-18 Mar-18 Apr-18 May-18 VIX Index MOVE Index (RHS)
2 4 6 8 India Indonesia Philippines Vietnam S Korea Singapore Thailand Malaysia Japan China YTD YoY Exchange rates, year-to-date and year-on-year percentage change
Source: JP Morgan Real Effective Exchange Rate, CPI based 2010-=100; World Bank staff calculations
10-year bond yields, basis points change from January 1 2018
Source: www.investing.com; World Bank staff calculations
20 40 60 80 100 Vietnam Thailand Malaysia India USA Philippines Indonesia
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Index, January 2017 =100
Source: CEIC, World Bank staff calculations
94 96 98 100 102 104 Jan-17 Jul-17 Jan-18 Jul-18
USD/IDR
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Credit-to-GDP ratios as of Q3 2017, percent
Source: BIS and World Bank staff calculations
A deeper financial sector would support growth and provider greater domestic liquidity
Source: ADB – Asian bonds online
Foreign holdings of local currency gov’t bonds, percent
Foreigners hold nearly 40 percent of Indonesian Government bonds
39.8 5 10 15 20 25 30 35 40 45 Indonesia Korea Malaysia Thailand 39.1 56.8 63.0 84.7 115.6 134.1 210.5 50 100 150 200 250
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Source: Bank Indonesia, BPS; World bank staff calculations
Retail sales growth, yoy, LHS; private consumption growth, yoy, RHS
3 3.5 4 4.5 5 5.5 6 5 10 15 20 25 Q12011 Q32011 Q12012 Q32012 Q12013 Q32013 Q12014 Q32014 Q12015 Q32015 Q12016 Q32016 Q12017 Q32017 Q12018 Private consumption Retail sales Retail sales 4 quarter moving average
Percent of household expenditure
Source: CEIC, ; World bank staff calculations
66% 47% 42% 27% 40% 44% 7% 13% 14%
0% 10% 20% 30% 40% 50% 60% 70%
Goods (except prepared foods) Services Prepared foods, incl. food outside home
Consumption has been shifting to services and foods prepared outside the home Retail sales and private consumption in the national accounts decoupled
1 2 3 4 5 6 7 8 Real private consumption growth GDP growth (HP-filtered) Yoy growth, percent
...especially in recent years, consistent with sound monetary, exchange rate and fiscal policies
Vertical axis: Change in private consumption growth, percentage points Horizontal axis: Number of quarters Sample period: 2000Q4 2018Q1
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1 2 3 4 5 6 7 8 9 1990 1995 2000 2005 2010 2015 Average years of schooling working age population
Source: Barro and Lee (2013, SUSENAS
Share enrolled, percent
Source: SUSENAS, various years
Enrollment rates and years of schooling are up... ...especially for poorer Indonesians
10 20 30 40 50 60 70 80 90 2002 2006 2012 2017 Quintile 1 Quintile 2 Quintile 3 Quintile 4 Quintile 5
LVA RUS SVK POL CZE TUN MAC HUN HKG DEU AUT SWE GBR GRC JPN CHE FIN PRT THA FRA ISL CAN BEL ITA NLD IRL KOR NOR AUS USA NZL URY DNK ESP BRA MEX LUX IDN TUR
20 50 80 110
20 40 Change in Math Test points
Source: World Bank estimates based on PISA scores in 2003 and 2015 (OECD, 2004; OECD, 2016)
365 370 375 380 385 390 395 400 405 410 1990 1995 2000 2005 2010 2015 Harmonized learning outcome index
Source: Altinok et al (2018) Note: The HLO is constructed for 163 countries, it has a mean of 500 and a standard deviation of 30.
Y-axis: change in enrollment, percentage points
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Share of the population by level of achievement and country, percentage points
INDONESIA VIETNAM OECD
Source: Source: World Bank estimates based on data from PISA 2015 (OECD, 2016) Note: Students with achievement level below 2 in PISA achievement scale are considered functionally illiterate
325 350 375 400 425 450
Index socio economic conditions 2015 2003
PISA math score, points
Source: World Bank estimates based on data from PISA 2003 and 2015 (OECD, 2004; OECD, 2016) Note: Index of socioeconomic conditions measure family economic background including family assets, education levels, among others
Mathematics Reading Science Richest quintile 20 33 62 Average 50 69 134 Poorest quintile 136 190 484
Number of years to catch up to OECD average PISA scores based on current growth rate in Indonesian PISA scores
Source: World Bank staff calculations
OTHER MINISTRIES, 3% MORTHE , 9% MORA, 12% Other education funds, 3% MOEC, 9% DISTRICTS AND PROVINCES, 63% 72% MOEC System
Source: Presidential Regulation No. 107/2017 on the education budget details for 2018
Share of total, percent
5 10 15 20 50 100 150 200 250 300 350 400 450 500 Total education spending (national), LHS Total education spending (2010=100), LHS Total education spending as % national spending, RHS
LHS: IDR Trillion; RHS: percent of GDP and spending
Source: World Bank COFIS database using MOF data and Presidential Regulation on budget details of respective years Notes: Realized spending data is available until 2014. 2016 and 2017 are revised budget data, 2018 is budget data. Realized spending data might not capture some SNG (Sub-National Government) education spending if coded under the General Administration function
10 20 30 40 50 60 70 80 90 100 PNS Non PNS PNS Non PNS 2006 2016
Bachelor degree or higher Less than Bachelor degree
Percent
Source: Teacher census (2006) and DAPODIK (2016) Note: PNS refers to civil servant teachers
50,000 100,000 150,000 200,000 250,000 300,000 350,000 400,000 450,000 2005 2015 Y-axis: Number of teachers; X-axis: Age of teachers
Source: SAKERNAS 2005 and 2015
Source: Rahmawati, 2018
10 20 30 40 50 60 70 Less than 50 Between 50 and 60 Between 60 and 70 Between 70 and 80 Higher than 80
National Exam 2016 National Exam 2017
Score in National Exam by integrity index in 2016
➢low-performing districts need qualified human resources and technical support ➢opening of new schools and madrasahs needs to be limited to those where there is both demand and institutional capacity to deliver high-quality services ➢resource transfer mechanisms should use performance-based criteria
...but this will first require better information on learning outcomes
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Source: Hanushek and Woessmann (2011), World Bank staff calculations. Note: Points denote possible improvements to current PISA score.
Annual percentage point addition to economic growth rates 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 2030 2031 2032 2033 2034 2035 2036 2037 2038 2039 2040
25 points 50 points 75 points 100 points
Percentage points addition to growth rate
Questions? fgilsander@Worldbank.org