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INDONESIA COUNTRY
    PRACTICES


 INTERNATIONAL WORKSHOP ON REGIONAL
    PRODUCTS AND INCOME ACCOUNTS
     BEIJING, CHINA 15-17 MARCH 2010
Indonesia


     • 33 provinces
     • 370 regencies & 95
       municipalities
     • Area 1.91 million km2
     • Population 228,5 million
       (2008)
     • Population growth 1.36 %
       (2000-2008)
PRACTICES OF INDONESIA
• Calculation quarterly and yearly
• National consultation meeting between
  provincial data and national data quarterly
• Regional consultation meeting on several
  provincial by island yearly
DISCREPANCIES
1. National aggregates and sum of regional
   data both in current and constant prices
2. Production approach and expenditure
   approach
3. GRP by provinces and total GRP of
   district/municipality data
SOURCES OF DISCREPANCIES
• Differences between inflation data national
  and provincial data
• Sources of data collection
PROBLEMS
• Differencies between source of data
  between national and regional
• Source of final consumption data from
  socio economic survey yearly,
  presentation quarterly
• Data gaps remain in the source statistics,
  examples: services sector data
Main types of data sources
           (Examples on several sector)
Industrial Origin         National Level   Provinces level
                                           (33 Provinces)
Food Crops                      BPS        26:BPS; 7 Administrative data

Estate Crops                    BPS        1: BPS; 32: Administrative data

Livestock & Its Product         BPS        2: BPS; 31: Administrative data

Water Supply                    BPS        3:BPS; 8: admnistrative data; 22:
                                           reports of individual unit
Hotel                           BPS        33 :BPS
Road Transport                  BPS        5: BPS; 28: administrative data

Bank                      BPS-Central Bank 33: BPS
Compilation Approaches
• The integrated approach:
 - Input-Output Table; SUT (in progress)
• Use of integrated National Input-Output
   Tables for:
-   Commodity balance methods
-   Reconciliation of input and output of products
-   Identification of errors; -weaknesses in the source data
-   Filling in gaps using fixed ratios
EFFORTS TO MINIMIZE
        DISCREPANCIES
• Reconciliation data on national
  consultation meeting by evaluating:
  methodology, source of raw data,
  coverage of data
• Identifiying source of discrepancies
• Discusing comparative of raw data
  (database) and develop the sources and
  methods that best measure the required
  concept according to the circumstances.
Main types of methodology
           (Examples on several sector)
Industrial Origin         National Level          Provinces level
                                                  (33 Provinces)
Food Crops                Production approach (PA) Production approach

Estate Crops              Production approach     Production approach

Livestock & Its Product   Production approach     Production approach

Mining                    Income approach (IA)    Production approach

Construction              Income approach         10:PA; 5:IA; 18 :others
Bank                      Income approach         6:PA; 27:IA
PLAN TO CHANGE
• Calculation GRP and GDP by income
  approaches due biased data on income
• Implementation on SNA 2008
• Implementation on ISIC rev.4
• Implementation data of Census of
  Economy 2006 as benchmark

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D2,8.indonesia country practices

  • 1. INDONESIA COUNTRY PRACTICES INTERNATIONAL WORKSHOP ON REGIONAL PRODUCTS AND INCOME ACCOUNTS BEIJING, CHINA 15-17 MARCH 2010
  • 2. Indonesia • 33 provinces • 370 regencies & 95 municipalities • Area 1.91 million km2 • Population 228,5 million (2008) • Population growth 1.36 % (2000-2008)
  • 3. PRACTICES OF INDONESIA • Calculation quarterly and yearly • National consultation meeting between provincial data and national data quarterly • Regional consultation meeting on several provincial by island yearly
  • 4. DISCREPANCIES 1. National aggregates and sum of regional data both in current and constant prices 2. Production approach and expenditure approach 3. GRP by provinces and total GRP of district/municipality data
  • 5. SOURCES OF DISCREPANCIES • Differences between inflation data national and provincial data • Sources of data collection
  • 6. PROBLEMS • Differencies between source of data between national and regional • Source of final consumption data from socio economic survey yearly, presentation quarterly • Data gaps remain in the source statistics, examples: services sector data
  • 7. Main types of data sources (Examples on several sector) Industrial Origin National Level Provinces level (33 Provinces) Food Crops BPS 26:BPS; 7 Administrative data Estate Crops BPS 1: BPS; 32: Administrative data Livestock & Its Product BPS 2: BPS; 31: Administrative data Water Supply BPS 3:BPS; 8: admnistrative data; 22: reports of individual unit Hotel BPS 33 :BPS Road Transport BPS 5: BPS; 28: administrative data Bank BPS-Central Bank 33: BPS
  • 8. Compilation Approaches • The integrated approach: - Input-Output Table; SUT (in progress) • Use of integrated National Input-Output Tables for: - Commodity balance methods - Reconciliation of input and output of products - Identification of errors; -weaknesses in the source data - Filling in gaps using fixed ratios
  • 9. EFFORTS TO MINIMIZE DISCREPANCIES • Reconciliation data on national consultation meeting by evaluating: methodology, source of raw data, coverage of data • Identifiying source of discrepancies • Discusing comparative of raw data (database) and develop the sources and methods that best measure the required concept according to the circumstances.
  • 10. Main types of methodology (Examples on several sector) Industrial Origin National Level Provinces level (33 Provinces) Food Crops Production approach (PA) Production approach Estate Crops Production approach Production approach Livestock & Its Product Production approach Production approach Mining Income approach (IA) Production approach Construction Income approach 10:PA; 5:IA; 18 :others Bank Income approach 6:PA; 27:IA
  • 11. PLAN TO CHANGE • Calculation GRP and GDP by income approaches due biased data on income • Implementation on SNA 2008 • Implementation on ISIC rev.4 • Implementation data of Census of Economy 2006 as benchmark