Implementation of SDGs in Indonesia : Leave No One Behind · Highlighting MDGs Achievements and...
Transcript of Implementation of SDGs in Indonesia : Leave No One Behind · Highlighting MDGs Achievements and...
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Implementation of SDGs in Indonesia : Leave No One Behind
By M.Sairi Hasbullah
BPS‐Statistics Indonesia
BPS – STATISTICS INDONESIA
Main characteristics of the SDG Agenda
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• Universal agenda with goals, targets and indicators for all countries; The 2030 SDG Agenda:
– 17 Goals,
– 169 Targets and
– 230 Indicators
• Emphasis on human rights to ensure no discrimination;
• Data disaggregation to identify demographic, social and economic disparities to ensure “leave no one behind”;
• Government will led the processes The case of Indonesia, there is President Regulation on SDGs No. 59 Year 2017 (which was signed by Indonesia President on 4th of July 2017)
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1. Introduction: KEY INDICATORS
34 Provinces
514 Districts/Municipalities 258.705 thousands 135 people/km2
5.01 %
Economic GrowthQ-2/2017
0.22 %
Inflation July 2017
US$ 93.59 Billion
ExportJan-July 2017
US$ 86.2 Billion
ImportJan – July 2017
10.637%(March 2017)
Poverty
5.61%5.33%
(February 2017)
Unemployment
0.393(March 2017)
Gini Ratio
70.18
HDR 2016
Population 2016 (project.) Density
2016/2017
Highlighting MDGs Achievements and Unfinished Agenda
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Out of 8 Goals, 18 targets and 67
indicators of MDGs:
a. 49 Achieved
b. 18 Unfinished
PoorPeople
Nutrition&Calorieintake
MaternalMortalityRate
HIVandAIDSPrevalence
ForestCover
CarbondioxideEmission
RuralDrinkingwater
AffordableSanitation
UrbanSlumArea
RatioofExport&ImporttoGDP
InternetAccessibility
UNFINISHED AGENDA of MDGS
(among others):Achievement in 2015:
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SDGs to Improve MDGs
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Expanding source of financing, not only support from developed countries but also private sector
Emphasizing of human rights to ensure no discrimination to poverty alleviation in all of its dimensions
More comprehensive by involving more countries with universal goals, both developed and developing countries
Inclusive, specifically focussing to difable and vulnerable
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Involving all stakeholders: government, civil society, philanthropy and business, and academia 5
MDGs target only “halving”, SDGs target to accomplish all indicators6
Not only Goals but also Means of Implementation
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INCLUSIVE PARTNERSHIP
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GOVERNMENT AND
PARLIAMENTEXPERTS AND ACADEMIA
PHILANTROPHY AND
BUSINESS
CIVIL SOCIETY
AND MEDIA
SDGs IN INDONESIA
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Key directives:
1. Optimise the coordination role of Bappenas (National Planning Ministry) in development as most of the SDGs indicators are integrated into the National Medium Term Development Plan (RPJMN) 2015‐2019
2. Involve all stakeholders (government, members of parlement, civil society organization, philanthropy and business, researchers and academicians) to synergise for SDGs, accordingly.
3. Institutions can start the work for SDGs operationally and strategically.
Legalbasis: PresidentRegulationonSDGsNo.59Year2017(whichwas
signedbyPresidenton4th ofJuly2017)
President Directives within Cabinet Meeting, December 2015
• TogiveclearinsightoftheSDGsimplementationframeworkinIndonesia:‒ DefinitionandtargetofSDGs;‒ Roleofministriesandinstitutions;‒ Nationalcoordinationplanandprocedures;‒ Involvementofstakehorders;‒ Evaluation,reportingandbudget;‒ GoalsandTargetofSDGs.
• AsthelegalbasistointegrateSDGsintothenationaldevelopmentplans:‒ NationalLongTermDevelopmentPlan(RPJPN)2005‐
2025‒ NationalMediumTermDevelopmentPlan(RPJMN)
2015‐2019
President Regulation on SDGs(1)
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IDENTIFYING INDICATORS AND FILLING THE GAPS
INDICATORS:
a management tool
a report card
CONSIDER:
Ambition to report on a much broader set of indicators versus capacity/resources of NSOs
The scale of the investments needed
Lesson learned from MDGs
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INDICATORS SETTINGS
Limited in number,
Clear and Relevance,
Simplicity and Measurability,
Disaggregated,
Feasible to collect,
High frequency reporting,
Methodological soundness and Consensus based.
Outcome‐focused
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IMPLEMENTING DATA REVOLUTION(Efforts done by Statistics Indonesia to anticipate the needs for SDGs indicators)
IMPLEMENTING DATA REVOLUTION(Efforts done by Statistics Indonesia to anticipate the needs for SDGs indicators)
A. Enhancing the existing data collection
B. Conducting new survey
C. Innovation of data collection
E‐survey
Quality monitoring system (QMS):
Geospatial and statistics integration
D. DEVELOPING INTEGRATED DATA BASE and OPEN DATA ACCESS
A. Enhancing the existing data collection
B. Conducting new survey
C. Innovation of data collection
E‐survey
Quality monitoring system (QMS):
Geospatial and statistics integration
D. DEVELOPING INTEGRATED DATA BASE and OPEN DATA ACCESS
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The contents of several surveys have been improved and expanded. Examples:
a. National Socio‐Economic Survey (Susenas) We named as the mother of the survey, the main sources of SDGs Community Based Data:– add variables for social protection programmes evaluation and monitoring, especially
poverty
– produce basic social indicators at the district level figures annually (regional autonomy in the district. Planning for the implementation of SDGs mainly in district level)
– attach new variables into Susenas (TQS, Social Protection, etc)
– Currently, Susenas can accomodate 55 indicators of SDGs.
– Susenas conducted twice in a year: March and September.
b. Planning the Labor Force Survey (Sakernas) improvement:– introduce core‐module questionnaires to produce more detailed and in‐depth
information on labor market and labor force infos
– Attach new variables into Sakernas (Questions related to disability)
– propose module questionnaires:(1) informal sector of employment and economy;(2) home‐worker based
– Currently, Sakernas can accommodate 10 indicators of SDGs
A. ENHANCING THE EXISTING DATA COLLECTION
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B. CONDUCTING NEW SURVEY
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In addition to the existing surveys, new surveys have been developed to enrich information needed for constructing SDGs indicators as well as to fulfill the need of the Core sets.:
Anti‐Corruption Behavior – GOAL 16
Social Capital – GOAL 16
Indonesia Democracy Index – GOAL 16
Happiness Index – GOAL 16
Violence against woman and children – GOAL 5
Victimization Survey – GOAL 5
Household Behavior to Environmental Changes –GOAL 8
All these New Surveys have been aggregated by sex, region, urban‐rural, marital status and other form of disaggregation
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1) E‐SURVEY
It was adopted in the implementation of the Early Detection of Global Crisis Impact (EDGCI). Quarterly survey to monitor the impact of global crisis on selected commodities.
Usability:
Establishments are well informed about the survey in advance.
BPS analysts are able to ease the analysis phase → tables and graphs are automatically generated based on the current data submission.
BPS managers get latest updates for the whole progress →preliminary results and the final result.
C. INNOVATION OF DATA COLLECTION
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2) QUALITY MONITORING SYSTEM (QMS):
BPS has developed and implemented QMS as a solution for an earlywarning system for several surveys → used for maintaining the qualityof surveys and censuses.
The system utilizes SMS Gateway Technology and Web‐basedApplication. SMS Gateway is utilized to submit data from monitoringofficer to QMS → information can be accessed by relevant managersthrough website.
QMS had been implemented in:
2010 Population Census
2011‐2017 National Socio‐Economic Survey
2011‐2017 National Labor Force Survey
2013 Agricultural Census
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Other Social Protection Programmes(Individual/Households)
This types of Data are also the main sources of disaggregated data for the poor. 40 percent of the lowest population.
DEVELOPING INTEGRATED DATA BASE and OPEN DATA ACCESS
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Free Health Care
Mandatory Education (12 years)
CCT for very poor family
Integrated Data Base for Social Protection Programmes
Criteria for Social Protections Programmes
Rice for
the poor
Number of Households Covered by Integrated Data Based 2015Number of Households Covered by Integrated Data Based 2015
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2015Integrated Data Base
17Pecsent Lowest
25 Percent Lowest
10 643 177 Households
15 526 746 Households
40 Percent Lowest
25 771 493 Households
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Example of Data Disaggregation by BPS Statistics Indonesia
• Water quality survey in Yogyakarta, in 2015 : in order to obtain information related to SDGs Goals Number 6 (Clean Water and Sanitation) 2 out of 3 drinking water samples tested in Yogyakarta Province Showed signs of Faecal Contamination (detection E.Coli) and 20% of Indonesians Defecate in the Open
• Analyzing the result of Susenas in order to get complete information related to the child marriage around 1 in 4 women were married before age 18, meanwhile 1 out of 3 women in West Sulawesi were married before the age 18 Disaggregated up to District Level by different socio economic status,age group, disability, and other form of disaggregation.
• Analyzing the result of Susenas in order to obtain information related to SDGs Goals Number 1 (No Poverty) It can be analyzed percentage of people under poverty line disaggregated by different age groups, different socioeconomic statuses, especially for children. In Indonesia, 13% of children live below the poverty line, meanwhile in Papua, the figures is around 35%.
Collaboration Of BPS, Statistics Indonesia with UNDP
• Preparing base line data of SDGs, especially data produced by BPS. It visualized as an Indonesian dashboard of SDGs
• From the dashboard of SDGs, it can be easily show the selected Indicator of SDGs disaggregated by : Region : urban and rural, provincial and
district/municipalities level Sex : males and females Economic statuses : poor and non‐poor Employment statuses : formal and informal workers Educational statuses Disability Statuses : disable and non disable (Sakernas,
Supas) next : from Susenas data Age group
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10 Largest of Source of Data Collection of IndonesiaSDGs Indicators
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Survei Pengalaman Hidup Perempuan Nasional (SPHPN)
Publication of Gross Domestic Product (GDP) Quarterly and NationalIncome of Indonesia
Indeks Pembangunan Desa
Survei Kebutuhan Data
Sensus Penduduk (SP), Sensus Penduduk Antar Sensus (Supas), SDKI
Indeks Demokrasi Indonesia (IDI).
Survei Demografi dan Kesehatan Indonesia (SDKI)
Survei Angkatan Kerja Nasional (Sakernas)
BPS (to be determined)
Survei Sosial Ekonomi Nasional (Susenas)
All these New Surveys have been aggregated by socio economic status, sex, region, urban‐rural, marital status and other form of disaggregation (except for Democracy Index)
10 Largest of Data Disaggregation Distribution of Indonesia SDGs Indicators (Source from Dashboard of SDGs)
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7
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National, province, residence, education level
National, province, district, residence, household by sex,wealth quintiles
National, province, residence, wealth quintiles
National, province, district, sex, age, employment status
National, province, district, residence
National, province, district
National, province, district, residence, wealth quintiles
National, province, district, residence, sex, wealthquintiles
National
National and province
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Dashboard of Disaggregation Data SDGs
Pilih Tujuan
Klik ke Tabel Data
Pilih Indikator
Pilih Tahun
Klik ke Metadata
Klik ke Cover SDG
Gs
Klik Versi English
Tujuan Indikator
Dashboard of Disaggregation Data SDGs
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www.bps.go.id
Thank you. M. Sairi Hasbullah
Deputy chief statistician for Social StatisticsBPS-Statistics Indonesia
Jl. Dr. Sutomo 6‐8 Jakarta 10710
(021) 3841195, 3842508, 3810291 Badan Pusat Statistik (Page)
@bps_statistics
(021) 3857046