• The GDP at the provincial and HUC level is computed by Production Approach.

• That is, GDP of the province/HUC is measured from the perspective of the producers of goods and services.  It covers the value of goods and services produced in the province/HUC during the reference period.
  In this approach, GDP measures the contribution of the 16 production industries, namely:

- Agriculture, forestry and fishing;
- Mining and quarrying;
- Manufacturing;
- Electricity, steam, water, and waste management;
- Construction;
- Wholesale and retail trade; repair of motor vehicles and motorcycles;
- Transportation and storage;
- Accommodation and food service activities;
- Information and communication;
- Financial and insurance activities;
- Real estate activities;
- Professional, and business services;
- Public administration and defense; compulsory social activities;
- Education;
- Human health and social work activities; and
- Other services.

• Descriptions and details of these industries can be found in the Philippine Standard Industrial Classification (PSIC)

It is envisioned that the PPA will be institutionalized in all regions in the country, covering all provinces and Highly Urbanized Cities (HUCs) by 2025. New group of pilot regions will be added every year to compile the PPA. These regions are listed in the table below.

The GDP of the provinces/HUCs are analyzed according to the following indicators:

• The choice of a more updated base year improves the measure of economic growth. The measure becomes more accurate if the base year is not too far back.

• The main criterion was the availability of comprehensive data from censuses and surveys including administrative data to serve as bases for the compilation of the benchmark levels.

• Availability of data for the base year became an important consideration which includes the following:

- 2018 Census of Philippine Business and Industry (CPBI);
- 2018 Family Income and Expenditure Survey (FIES);
- 2018 Updated List of Establishments;
- 2018 Input-Output Survey of Philippine Business and Industry (IOSPBI);
- 2018 Labor Force Survey (LFS);
- 2018 Reports of the Commission of Audit (COA) for Government operations
- 2018 Revised and rebased Value of Production for Agricultural Commodities;
- 2018 Financial Statements of National Government and Local Government Units including Government-Owned and Controlled Corporations (GOCCs);
- 2018 Private Financial Statements;
- 2018 Re-referenced prices/price indices e.g., consumer prices, producer prices, retail prices, wholesale prices, construction materials prices, farm prices, international prices, world prices, etc.
- 2018 Exports and Imports Data (updated and re-run series)

• Data are sourced from both survey and administrative sources.

• Major sources for the benchmark estimates include: Census of Philippine Business Industry (CPBI), Updated list of establishments (ULE), Family Income and Expenditure Survey (FIES)

• Figure 1 shows the list of major data sources for PPA compilation.

• The national accounts compilation follows a Framework – an internationally agreed framework on the System of National Accounts. The latest one is the 2008 SNA. This comprises a comprehensive, consistent, and integrated set of accounts that record economic activities within a given period.

• The PSNA follows this Framework in terms of concepts, classification of economic activities, scope and coverage, and other statistical and accounting principles.

• The SNA also serves as a framework for identifying data gaps/weaknesses as well as inconsistencies in data.

• In general, the PPA is a tool or means to strengthen the decision-making, planning, program and policy formulation in the local level. The PPA are used by the:

- Provincial/Municipal Planning Development Office (i.e., for budget, programming and setting);
- Local government executives (i.e., governors, mayors);
- Researchers/academe which evaluates, analyzes, and monitors existing programs and policies at the local level;
- Sectoral agencies, e.g., Department of Agriculture, Department of Trade and Industry, etc.

• The value of agricultural statistics is the gross output of the agriculture sector. It is reported as volume prices and value of production by commodity.

• Meanwhile, Gross Value Added in the agriculture industry represents the contribution of the industry to the GDP by taking away the intermediate consumption or the inputs used during the production process.

• By taking out the intermediate consumption, GVA represents the unduplicated value of Agriculture as an industry or a newly created goods and services.

• Tourism activities are included in the accounting of the GDP of the provinces/HUCs. There are a handful of industries in tourism such as the Transportation industry, Accommodation and Food Service Activities, and Other Services.

• For more information on tourism, the Philippine Statistics Authority also publishes the Tourism Satellite Accounts at the national level and an initial pilot compilation for regions in Luzon and Visayas.

• PTSA is a framework used to measure the contribution of tourism to the Philippine economy.

• By definition, GDP means that all production activities happening in the province/HUC are accounted for. Exports on the other hand are produced goods and services in the province/HUC for consumption outside the economy, be it in the international market or for consumption of other provinces or regions.

• Investments include capital formation in construction, durable equipment, breeding stocks and orchard development, and intellectual property products.

• The production of these products is included in PPA through construction, manufacturing, agriculture, and services.

The contribution of SMEs is implicitly accounted in the estimation of PPA. These are captured in the establishment-based surveys conducted by PSA which are inputs during the estimation. In addition, the FIES provides information on household economic activities.

• Yes. In the estimation of the PPA estimates, the informal activities are accounted. Using the household-based surveys of the Family Income and Expenditure Survey (FIES) these activities are incorporated i.e., street peddling, shoe shining, tailoring, own-account worker, etc. 
• Questions about income are included in these surveys hence, implicitly, illegal trades i.e., drugs, gambling, kidnapping, and prostitution among others are indirectly considered in the regional estimates. However, details on income by type of illegal activities cannot be determined. 
• Operationally, these are termed “unorganized activities” in the Philippine System of National Accounts (PSNA).

• PPA covers the monetary value of all final goods and services produced in the province or HUC within the period.

• FIES covers the income of residents, regardless of where and how the income was earned:

- Primary income: salaries and wages, commissions, tips, bonuses, family and clothing allowances, transportation and representation allowances, honoraria, and other forms of compensation; and net receipts derived from the operation of family-operated enterprises or activities, and practice of a profession or trade. 
- Income from other sources: imputed rental values of owner-occupied dwelling units, interests, rentals including landowner's share of agricultural products, pensions, support, and value of food and non-food items received as gifts by the family (as well as the imputed value of services rendered free of charge to the family). Also included as part of family income are receipts from family sustenance activities which are not considered family-operated enterprises.

• We usually think that economic growth is related to poverty reduction. It is expected that sustained growth could result in better income and lower poverty in the provinces in the long run. In the short run, however, high growths may not translate to lower poverty incidences. GDP and poverty incidence measure different aspects of society.

• GDP measures economic output while poverty describes welfare and living standards. Sustained economic growth would reduce poverty and improve income levels among the poorest remains a challenge to both policymakers and planners, and only with quality statistics that poverty programs can be effectively implemented.