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Release Date :
Reference Number :
2015-009

 

Table A  Year-on-Year and Month-on-Month Growth Rates of Producer Price Index:

December 2014 and November 2014

TOTAL MANUFACTURING

December
2014
November
2014

Producer Price Index (2000=100)

147.9

149.0 r

          Year-on-Year Growth

-2.9

 -1.8 r

         Month-on-Month Growth

-0.8

-1.1

       r -revised
 
  •    Producer Price Index decelerates in December 2014

Producer Price Index (PPI, 2000=100) for manufacturing went down by 2.9 percent in December 2014 compared to negative 4.1 percent posted in December 2013. This may be attributed to the double-digit decrements of petroleum products (-27.1%) and basic metals (-11.8%). The downward trend in the producer prices of gasoline, diesel, kerosene and liquefied petroleum gas pushed down the annual rate of petroleum products to its lowest since August 2014. On the other hand, ten out of twenty major sectors  reflected  increments  led  by   tobacco products  (11.4%).    Refer to Tables 1 and A-1.

On a monthly basis, PPI decreased by 0.8 percent in December 2014. Nine sectors declined led by petroleum products (-8.0%). Furthermore, five sectors posted increases while six sectors remained flat. Refer to Tables 1 and A-2.

 

 

 

 
TABLE A-1   Producer Price Index, November 2014 – December 2014:
(2000=100)
 

Gainers

Year-on-Year Growth (percent)

December 2014
November 2014
(revised)

Food Manufacturing

2.9

3.4

Transport Equipment

0.2

-0.5

Tobacco Products

11.4

11.4

Chemical Products

1.8

2.0

Beverages

1.6

1.6

Rubber and Plastic Products

2.1

2.1

Leather Products

2.6

2.7

Textiles

1.0

1.1

Wood and Wood Products

0.4

1.0

Paper and Paper Products

1.3

1.4

Printing

0.0

0.0

Non-Metallic Mineral Products

0.0

0.7

 

Losers  

Year-on-Year Growth (percent)

December 2014
November 2014
(revised)

Petroleum Products

-27.1

-15.6

Electrical Machinery

-1.1

0.4

Basic Metals

-11.8

-9.9

Machinery Except Electrical

-6.9

-5.2

Fabricated Metal Products

-4.8

-5.1

Miscellaneous Manufactures

-5.9

-4.6

Footwear and Wearing Apparel

-3.4

-2.8

Furniture and fixtures

-8.3

-12.5

 

 

TABLE A-2   Producer Price Index, November 2014 – December 2014:
(2000=100)
 

Gainers

Month-on-Month Growth (percent)

December 2014

November  2014
(revised)

Furniture and Fixtures

3.7

-8.5

Food Manufacturing

0.1

-0.2

Transport Equipment

0.1

1.4

Chemical Products

0.1

-0.2

Rubber and Plastic Products

0.3

0.0

Beverages

0.0

0.0

Fabricated Metal Products

0.0

-1.1

Printing

0.0

0.0

Tobacco

0.0

0.0

 

Losers

Month-on-Month Growth (percent)

December 2014
November 2014
(revised)

Petroleum Products

-8.0

-5.0

Electrical Machinery

-1.7

-2.5

Basic Metals

-1.1

-0.4

Machinery Except Electrical

-0.6

0.1

Non-Metallic Mineral Products

-1.1

-0.7

Miscellaneous Manufactures

-1.2

1.5

Paper and Paper Products

-0.4

-0.1

Wood & Wood Products

-0.5

-1.2

Footwear and Wearing Apparel

-0.1

0.0

Textiles

b/

0.0

Leather Products

b/

0.0

 
 
Notes:
b – Less than 0.1 percent decrease
Sectors are ranked according to their contribution to the overall 2000-based growth rate
Year-on-year growth rates are computed by dividing the current month index by previous
year same month index less 1.
Month-on-month growth rates are computed by dividing the current month index by previous
month index less 1.

 

Technical Notes
  • Introduction
The National Statistics Office generates various price indices, one of these is the Producer Price Index (PPI). The PPI, a designated statistics, is generated through the results of the Producer Price Survey (PPS) conducted nationwide. The survey gathers monthly producer prices of selected products of establishments included in the market basket.
 
The PPI is used as a deflator of the Monthly Integrated Survey of Selected Industries (MISSI) to derive indicators for the Volume of Production Index (VoPI) and Volume of Net Sales (VoNSI).
 
  • Method of Index Computation
PPI utilizes the Paasche-type method of index computation. The weights are computed from the value of production to derive concentration ratios from the Census of Philippine Business and Industry (CPBI) or Annual Survey of Philippine Business and Industry (ASPBI). The weights are updated as soon as new results of the ASPBI or CPBI are available and applied at the beginning of each survey year.
 
For the 2014 PPI, the weights of the major sectors and sub-sectors were computed from the results of the 2010 ASPBI for Manufacturing Establishments with total employment of 20 and over, which is the latest survey results.
 
The formulas in the computation of the PPI are as follows:
 
 

 

  • Industry Coverage

Starting with January 2013 reference month, the PPI utilizes the 2009 Philippine Standard Industry Classification (PSIC) to classify sectors and industries. Selected industry classes of the 2009 PSIC were grouped to form the 20 industry groupings of the 2014 PPS. These are presented in the table below.

2009 PSIC CODE

INDUSTRY DESCRIPTION

C10

Food manufacturing *

C11

Beverages

C12

Tobacco products

C13

Textiles*

C14,C152

Footwear and wearing apparel

C151

Leather products

C16

Wood and wood products*

C17

Paper and paper products

C18

Printing and reproduction of recorded media

C19

Petroleum products*

C20,C21

Chemical products*

C22

Rubber and plastic products*

C23

Non-metallic mineral products*

C24

Basic Metals*

C25

Fabricated metal products

C262,C275,C28,C263,C268

Machinery except electrical*

C261,C264,C27,C29301

Electrical machinery*

C29 except C29301,C30

Transport equipment

C31

Furniture and fixtures

C265,C266,C267,C32

Miscellaneous manufactures

Note:  * - Major sectors categorized into sub-sectors

 

  • Response Rate

The response rate for  December 2014 is 83.5 percent, which corresponds to the retrieval of 299 establishments’ reports out of the 358 samples for the survey.  Refer to Table B.

Table B Response Rates For Total Manufacturing
(In Percent)

December 2014

November 2014
(revised)

83.5

95.5r

Missing prices for products of sample establishments are estimated using the short-term relative change of all available prices within the same industry class. Revisions to the preliminary estimates are done upon receipt of actual reports from late respondents.

 

(Sgd.) LISA GRACE S. BERSALES, Ph.D.
National Statistician

 

 

 

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