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Strengthening Regional Capacities for Statistical

Development in Southeast Asia Project

Sponsored by UNSD, ESCAP and ASEAN Secretariat

Bangkok, 6-10 August 2001









ESTIMATION OF THE QUARTERLY GROSS VALUE ADDED OF

MANUFACTURING IN THE PHILIPPINE SYSTEM OF NATIONAL

ACCOUNTS









BY

MINERVA D. MARTIN









WORKSHOP ON THE DEVELOPMENT OF ASEAN SHORT-TERM INDICATORS









1

ESTIMATION OF THE QUARTERLY GROSS VALUE ADDED OF

MANUFACTURING IN THE PHILIPPINE SYSTEM OF NATIONAL ACCOUNTS 1

BY

2

MINERVA D. MARTIN

I. INTRODUCTION





The manufacturing sector contributes about 25% to the Gross Domestic

Product (GDP) of the Philippines. With this share, together with its impact on

employment and on foreign trade, the sector plays an important role in the overall

performance of the economy.





This paper presents the methodology used by the National Statistical

Coordination Board (NSCB) for estimating the quarterly Gross Value Added (GVA) of

the manufacturing sector in the Philippines, including the data sources. The

importance of the Index of Industrial Production, how it is incorporated and the extent

to which the quarterly manufacturing GVA is dependent upon administrative records

data are also discussed.





In the Philippine System of National Accounts (PSNA), manufacturing is one

of the components of the Industry sector together with Mining and Quarrying,

Construction and Electricity, Gas and Water or the Utilities sector. In constant 1985

prices, its 2000 levels comprised about 72 per cent of the country’s industry sector,

25 per cent of the Gross Domestic Product (GDP) and 23 per cent of the Gross

National Product (GNP). The sector employs about 10 per cent of the total workforce

and contributes about 96 per cent to merchandise exports. In 2000, the five biggest

subsectors of manufacturing were food (36%), products of petroleum and coal

(17%), electrical machinery (12%), chemical and chemical products (6%) and

footwear and wearing apparel (5%).





At present, the National Statistical Coordination Board (NSCB) releases the

national accounts on a quarterly, semestral and annual basis. Quarterly estimates



1

A paper presented at the Workshop on ASEAN Short-Term Indicators in Bangkok, Thailand, 6-10 August

2001

2

Statistical Coordination Officer V, NSCB





2

are released two (2) months after the reference quarter, while annual estimates are

released on the last week of January immediately following the reference year.





II. COMPILATION OF QUARTERLY GVA IN MANUFACTURING





Manufacturing is defined as the mechanical or chemical transformation of

inorganic or organic materials into new products, whether done by machine or by

hand, in factories or in households, for sale or for own consumption. It includes

assembly of component parts (semi-manufactured goods) in factories; assembly and

installation of machinery and equipment in the establishments; repair of machinery

and equipment belonging to producers on a contract basis. For the national

accounts compilation, manufacturing is divided into 20 major groups, namely:





1. Food Manufacturing

2. Beverage Industries

3. Tobacco Manufactures

4. Textile Manufacturing

5. Footwear & Wearing Apparel

6. Wood & Wood Products

7. Furniture & Fixtures

8. Paper & Paper Products

9. Publishing & Printing

10. Leather & Leather Products

11. Rubber Products

12. Chemicals & Chemical Products

13. Products of Petroleum & Coal

14. Non-Metallic Mineral Products

15. Basic Metal Industries

16. Metal Products

17. Machinery except Electrical

18. Electrical Machinery

19. Transport Equipment

20. Miscellaneous Manufacturing







3

Five of these major groups, namely: Food, Chemicals and Chemical Products,

Non-Metallic Mineral Products, Basic Metals and Electrical Machinery, are further

disaggregated into their various components.





Food manufacturing has ten subsectors, composed of Bakery products,

Coconut products, Milk and dairy products, Grain Mill products, Processed Meat and

Fish, Processed Fruits and Vegetables, Milled and Refined Sugar,

Vegetables/Animal Oils and Fats, Animal Feeds and Miscellaneous Food. Chemicals

and Chemical Products has seven subsectors, namely: Basic Industrial Chemicals

and Industrial Gases, Drugs and Medicines, Fertilizers, Paints, Plastic, Cosmetics

and Toilet Preparations and Miscellaneous Chemicals. Non-Metallic Mineral

Products has three subsectors, namely: Cement, Glass and Glass Products and

Miscellaneous Non-Metallic Mineral Products which includes manufacture of pottery,

china and earthenware and manufacture of structural concrete products. Basic Metal

Industries has two subsectors: Iron and Steel and Non-Ferrous Metals, which include

copper cathodes delivered to the Philippine Associated Smelting and Refining

Corporation (PASAR). Electrical Machinery has five subsectors composed of the

Manufacture of Electrical Appliances, Electrical Lamps and Fixtures, Batteries,

Electrical Wire and Wiring Products and Microcircuits.









III. SOURCES OF DATA





The censuses, surveys and administrative data of the following government

offices and private institutions are the main sources of data in the estimation of the

Quarterly GVA of Manufacturing.





1. The censuses and surveys of the National Statistics Office (NSO) are

the main sources of data:





a. The Monthly Integrated Survey of Selected Industries

(MISSI) provides flash indicators for the manufacturing sector.

The survey focuses only on the top manufacturing enterprises







4

and estimates are made on the assumption that the trend of

these large enterprises dictate the movement of the industry.





b. The Quarterly Survey of Philippine Business and Industries

(QSPBI) provides trends and seasonal patterns of economic

indicators through three key indicators, gross revenue,

employment and compensation.





c. The Integrated Survey of Households (ISH) generates

employment data on a quarterly basis.





d. The Wholesale Price Index (WPI) provides monthly Metro

Manila Prices by subgroup of Manufacturing. It is used as

deflator in estimating the quarterly and annual GVA at constant

prices.





2. Administrative Data:





2.1. The Department of Energy (DoE) provides monthly data on

Petroleum Refinery production as well as monthly prices of

Petroleum products.





2.2. The Philippine Cement Manufacturers Corporation

(PHILCEMCOR) provides monthly data on cement production.





2.2. The Sugar Regulatory Administration (SRA) provides data on

raw sugar production and prices.





2.4. The Philippine Associated Smelting and Refining

Corporation (PASAR) provides data on copper refining from

the different mining companies.









5

IV. ESTIMATION METHODOLOGY:





A. Current Price Estimation:





For the initial quarterly estimate (1981), annual GVA in manufacturing

was disaggregated into four quarters by applying the gross index of

production computed from the then QSE (QSPBI) and SKEM (MISSI). This

procedure is shown in the following equation:





4

GVAt = GVA81 * GPIt /  GPI t

t 1









Where:

GVAt = gross value added for quarter t

GVA81 = 1981 annual gross value added





GPIt = gross production index for quarter t

4

 GPI t = total gross production index for quarter t

t 1









Estimates of GVA for subsequent quarters were derived by

extrapolation based on production trends from QSPBI and MISSI. Preliminary

and revised estimates utilize more updated data from the same surveys to

extrapolate for the quarter. (Table 1)





Thus:

GVAqt = GVAqt-1 * (Xqt / Xq t-1)





Where:





GVAqt = gross value added at quarter q of year t





GVAqt-1 = gross value added at quarter q of the preceding year







6

Xqt = production at quarter q of year t





Xq t-1 = production at quarter q of the preceding year





Table 1: AT CURRENT PRICES



MISSI VALUE OF PRODUCTION

Q12001/Q12000



Sub-sectors Q12001/Q12000 1994 CE Weights Weighted

Growth

Food Manufacturing 1.10045 1.00000 1.10078



Bakery Products 1.01383 0.08390 0.08506

Coconut Products 0.61327 0.00980 0.00601

Milk and Dairy Products 1.18155 0.10730 0.12678

Grain Mill Products 1.36127 0.10200 0.13885

Processed Meat 0.90712 0.14470 0.13126

Processed Fruits 1.04053 0.06070 0.06316

Milled and Refined Sugar 1.32698 0.14530 0.19281

Vegetables Oil and Fats 0.92688 0.11830 0.10965

Animal Feeds 1.15870 0.08450 0.09791

Miscellaneous Food 1.03816 0.14350 0.14929









V. CONSTANT PRICE ESTIMATION





To derive the estimate at constant prices, estimates at GVA at current prices

undergo a process of single deflation utilizing appropriate output price indices to

remove the effects of price changes. These indices are derived from the wholesale

prices of manufactured commodities available at the National Statistics Office (NSO).

The deflator is computed by getting the weighted growth of the current quarter WPI

over the same quarter of previous year’s WPI and multiplying the result by the

Implicit Price Index of the same quarter of the previous year. (Table 2 & 3)









7

Table 2: AT CONSTANT PRICES

WHOLESALE PRICE INDEX (WPI)

Q12001/Q12000



Sub-sectors Q12001/Q12000 1994 CE Weights Weighted

Growth

Food Manufacturing 1.07994 1.00000 1.08026



Bakery Products 1.00965 0.08390 0.08471

Coconut Products 0.84082 0.00980 0.00824

Milk and Dairy Products 1.11668 0.10730 0.11982

Grain Mill Products 1.00971 0.10200 0.10299

Processed Meat 1.27474 0.14470 0.18445

Processed Fruits 0.93740 0.06070 0.05690

Milled and Refined Sugar 1.27515 0.14530 0.18528

Vegetables Oil and Fats 0.91598 0.11830 0.10836

Animal Feeds 1.05562 0.08450 0.08920

Miscellaneous Food 0.97573 0.14350 0.14031







Table 3: First Quarter 2001 Estimation of Food Manufacturing



AT CURRENT PRICES



Published Food Mfg. Q1 2000 at Current Prices 77,933

1.10078

Multiplied by the Weighted Growth of MISSI

85,787

Estimated Food Mfg. Q1 2000 at Current Prices









DEFLATOR



Published Food Mfg. Q1 2000 Implicit Price Index 370.88



Multiplied by the Weighted Growth of WPI 1.08026



Estimated Food Mfg. Q1 2001 Deflator 400.65









8

AT CONSTANT PRICES



Published Food Mfg. Q1 2000 at Current Prices



Estimated Food Mfg. Q1 2000 at Current Prices 85,787



Divide by the Estimated Deflator 4.00658



Estimated Food Mfg. Q1 2001 at Constant Prices 21,412









VI. PROBLEMS AND ISSUES:





1. Low response rate during quarterly estimation.





Sectors specialists resort to look up for other relevant indicators

such as newspaper clippings, press releases on the performance of

their products from companies which are included in the surveys of the

NSO, telephone calls to the companies and enterprises inquiring on

their quarters’ performance.





2. Inconsistent data being reported in the surveys and those with press

releases of enterprises or firms.





3. Existing price data do not cover all commodities.

There are no available prices for microcircuits (use for computers)

considering that microcircuits accounts for 70% of the total electrical

machinery. Substitute prices of radio, television and communication

equipment are used.





4. Appropriateness of using output and input price deflators for estimating

constant GVA.

Conceptually, constant GVA is equal to the difference between

output at constant prices and intermediate inputs at constant

prices, which is derived through the process of double deflation.





9

Presently, however, due to data limitations

Manufacturing, together with other sectors, follow the single

deflation technique where GVA at current prices is deflated

using output deflators. This is on the assumption that prices of

output and prices of inputs move in a parallel trend which is not

necessarily the case.





5. Proper price deflator

Manufacturing sector continues to use the WPI as proxy deflator

for the PPI.





VII. FUTURE PLANS





1. Rebasing to 2000





2. Improvement of the coverage to estimate for the subgroups of other

manufacturing sub-sectors up to the 4-digit level of the Philippine

Standard Industrial Classification (PSIC).





3. Conduct of study to improve the current methodology to incorporate

changes in the statistical system.









10



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