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Release Date :
Reference Number :
2016-025

 

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

January 2016, December 2015 and January 2015

TOTAL MANUFACTURING

January
2016
December
2015
January
2015

Producer Price Index (2000=100)

137.3

139.5 r

146.1 r

          Year-on-Year Growth

-6.0

 -7.2 r

-3.7 r

         Month-on-Month Growth

-1.5

-0.2 r

-2.8 r
r -revised
 
  • Producer Price Index declines in January 2016

The Producer Price Index (PPI, 2000=100) for manufacturing dropped by 6.0 percent in January 2016 compared with 3.7 percent a year ago. The slowdown was brought about by the two-digit decreases of five major sectors namely: wood and wood products (-14.8%), electrical machinery (-12.1%), machinery except electrical (-12.1%), basic metals (-12.0%) and furniture and fixtures (-11.3%).   On the other hand, eight of the twenty major sectors registered increases led by paper and paper products (5.1%). Refer to Tables 1 and A-1.

On a monthly basis, the PPI decelerated further by 1.5 percent after a decrement of 0.2 percent last month. Eight major sectors pulled down the performance of the PPI led by machinery except electrical (-13.3%).  Moreover, two major sectors remained flat while ten major sectors posted increases. Refer to Tables 1 and A-2.

 
 
 
 
 
 
 
 
TABLE A-1   Producer Price Index, December 2015 and January 2016:
(2000=100)
 
 

Gainers

Year-on-Year Growth (percent)

January 2016
December 2015
(revised)

Non-Metallic Mineral Products

3.1

-5.3

Paper and Paper Products

5.1

5.1

Beverages

1.5

2.9

Miscellaneous Manufactures

3.4

6.2

Fabricated Metal Products

0.6

2.0

Leather Products

1.7

1.3

Tobacco Products

0.2

-3.6

Textiles

1.4

0.6

 
 

Losers  

Year-on-Year Growth (percent)

January 2016
December 2015
(revised)

Electrical Machinery

-12.1

-15.9

Machinery except Electrical

-12.1

2.7

Basic Metals

-12.0

-12.9

Transport Equipment

-2.5

-2.0

Petroleum Products

-2.0

-18.1

Rubber and Plastic Products

-5.2

-4.3

Wood and Wood Products

-14.8

-20.0

Food Manufacturing

-0.6

-1.5

Footwear and Wearing Apparel

-0.4

-2.1

Furniture and fixtures

-11.3

-25.6

Chemical Products

-0.7

2.3

Printing

-1.6

-1.7

 
 
 
 
 
TABLE A-2   Producer Price Index, December 2015 – January 2016:
(2000=100)
 

Gainers

Month-on-Month Growth (percent)

January 2016
December  2015
(revised)

Electrical Machinery

0.9

0.9

Non-Metallic Mineral Products

2.5

0.2

Beverages

1.4

0.0

Chemical Products

0.7

-0.5

Transport Equipment

0.3

-1.8

Paper and Paper Products

1.7

0.9

Miscellaneous Manufactures

0.9

0.4

Footwear and Wearing Apparel

1.0

0.6

Wood and Wood Products

0.1

3.3

Leather Products

0.3

0.0

Printing

0.0

0.0

Tobacco Products

0.0

0.0

 
 
 

Losers

Month-on-Month Growth (percent)

January 2016
December 2015
(revised)

Machinery except Electrical

-13.3

0.2

Petroleum Products

-6.7

-7.4

Basic Metals

-0.9

-2.0

Food Manufacturing

-0.2

0.1

Fabricated Metal Products

-1.3

0.4

Rubber and Plastic Products

-0.3

-0.2

Furniture and Fixtures

-1.5

2.1

Textiles

-1.3

0.0

 
 
 
 
Notes:
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 Philippine Statistics Authority 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 2015 PPI, the weights of the major sectors and sub-sectors were computed from the results of the 2012 CPBI for Manufacturing Establishments with total employment of 20 and over, which is the latest census 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 January 2016 is 74.5 percent, which corresponds to the retrieval of 551 establishments’ reports out of the 740 samples for the survey.  Refer to Table B.

Table B Response Rates For Total Manufacturing
(In Percent)

January 2016

December 2015
(revised)

74.5

85.0r

Missing  prices for products of sample establishments are estimated using the short-term geometric mean of the actual prices of responding samples within the same industry class. Revisions to the preliminary estimates are done upon receipt of actual reports from late responding establishments.

 

 

   ROMEO S. RECIDE
Deputy National Statistician
  Sectoral Statistics Office

 

 

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