Manufacturing Surveys in Brazil - United Nations Statistics Division

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Transcript Manufacturing Surveys in Brazil - United Nations Statistics Division

Manufacturing Surveys in Brazil
June 2009
Surveys
Profile on industrial
Statistics
Annual Survey
Pesquisa Industrial Anual - Empresa (PIA-Empresa)
Pesquisa Industrial Anual de Produto (PIA-Produto)
Pesquisa Anual da Indústria da Construção (PAIC)
Monthly Survey
Pesquisa Industrial Mensal de Produção Física (PIM-PF)
Pesquisa Industrial Mensal de Emprego e Salário (PIMES)
Índice de Preços Industriais ao produtor (IPP)*
Satellite
Pesquisa de Inovação Tecnológica (PINTEC)
* First release 2010
Need to conduct a survey
•The annual manufacturing surveys provides key
measures of the structure of the manufacturing
industry.
•Principal purposes are:
• To provide National Accounts with structural and commodity
detail;
• To provide data on industrial productive structure of the
Brazilian economy and its evolution over time;
• To provide external users with basic data by 3-digit
industry
• To provide data for market approach
• To provide data for selection of product and weight definitions in
the monthly system of industrial production indicators
Survey outputs
•The key variables in the annual surveys:
•PIA-EMPRESA
• Revenue data;
• Costs and various components detailed for the
estimates of the intermediary consumption;
• Number of employees and value of the salaries
paid and social contribution cost;
• Cost in the acquisition of fixed assets for the
estimates of Capital Formation.
•PIA-PRODUTO
• By product categories of PRODLIST:
• Sales value
• Quantities produced and sold
Use of standards
•The National industrial Classification (CNAE) is used
for industry classification.
•Lista de produtos industriais - Prodlist
INTERNATIONAL
Economic Activity
Products - Production
Products – international trade
MERCOSUL
ISIC/CIIU
CNAE
CPC
SH
BRASIL
PRODLIST
NCM
NCM
PIAEmpresa
CNAE 2.0
(ISIC-Rev.4)
Section:
Division:
Group:
Class:
PIAProduto
PRODLIST
2007
Product
2211.2080
New Pneumatic tyres for vehicles
PIM-PF
Selected
Product
Product
2511.0090 = 2211.2080
New Pneumatic tyres for vehicles
IPP
Classification
PPI product
Elementary
Product
100% on road - 175/70R 13TL 82T XXXXX;
Merc.Doméstico - Merc. Reposição - R$/Unidade FOB Fábrica - Venda à vista - Preço faturado dia 15 Sem impostos.
C - Manufacturing
22 - Manufacture of rubber and plastics products
221 - Manufacture of rubber products
2211 - Manufacture of rubber tyres and tubes; retreading
and rebuilding of rubber tyres
Cnae : Divisão 17 : Fabricação de Produtos
Têxteis
Surveys
17.11-6
17.19-1
17.21-3
17.22-1
17.23-0
17.24-8
17.31-0
17.32-9
17.33-7
17.41-8
17.49-3
17.50-7
17.61-2
17.62-0
17.63-9
17.64-7
17.69-8
17.71-0
17.72-8
17.79-5
CLASSES
Benef. de algodão
Benef. de outras fibras têxteis naturais
Fiação de algodão
Fiação de fibras têxteis naturais, exceto algodão
Fiação de fibras artificiais ou sintéticas
Fab. de linhas e fios para costurar e bordar
Tecelagem de algodão
Tec. de fios de fibras têxteis nat., excl. algodão
Tec. de fios e filamentos contínuos artif. ou sint.
Fab. de artigos de tecido de uso dom., incl. Tec.
Fab. de outros artef. têxteis, incl. tecelagem
Acab. em fios, tecidos e artigos têxteis, por terc.
Fab. de artefatos têxteis – exceto vestuário
Fab. de artefatos de tapeçaria
Fab. de artefatos de cordoaria
Fab. de tecidos especiais - inclusive artefatos
Fab. de outros artigos têxteis - exceto vestuário
Fab. de tecidos de malha
Fab. de meias
Fab. de tricotagens
SNA Quaterly
SNA Annual
(work)
020001
020002
020003
020004
020005
Benef. de algodão e de outros
Fiação
Tecelagem
Fab. outros prod. têxteis
Fab. de tecidos e artigos de malha
SNA Annual
(dissemination)
0303
Têxteis
(dissemination)
SNA Quaterly (work)
03
Indústria de
Transformação (parte)
0303
Têxteis
Statistical Unit
•Enterprise: basic information unit
•Local units: location, activity, few variables to serve as
parameter for the distribution of the enterprise data
Coverage
•PIA-EMPRESA - Mining and manufacturing activities business > 5 employees
•PIA-PRODUTO - Mining and manufacturing activities panel of business > 30 employees
Sample Design
•PIA-EMPRESA
•Sampling frame is stratified in two classes:
• certainty stratum: all enterprises > 30 employees
• sampled stratum: enterprises with 5 to 29
employees for which a random sampling without
replacements is selected
•PIA-PRODUTO
•A cut-off sample taken from the Annual Mining and
Manufacturing Survey (certainty stratum)
Size
•PIA-EMPRESA
2007
•518.000 businesses in total (CBS*)
•53.000 business sampled to directly obtain data
• certainty stratum: 35.000 (long form)
• sampled stratum: 18.000 (short form)
•PIA-PRODUTO
• 35.000 enterprises surveyed
• 3500 products
• 80% of total industrial enterprise revenue
•
CBS – Cadastro Básico de Seleção
Types of survey forms
•PIA-EMPRESA
• One form for the medium and large enterprises
(in the certainty stratum)
• A short form for the smaller ones (sampled
stratum)
•PIA-PRODUTO
• One form
Level of data dissemination
•PIA-EMPRESA
• Data are available for the total of enterprises
for Brazil and for some Federal States at 3 digit
level; data are also available at 4-digit level to
the certainty stratum for Brazil and Federal
states.
•PIA-PRODUTO
• By Prodlist categories at National level and the
100 most important products by sales at Federal
estates level.
Timetable for the survey
• 2007Annual survey – timeline 17 months
•Sample Creation (CBS)
February
2008
•Test, finalisation and printing of questionnaires
March
2008
•Regional offices training
April
2008
Mid May-October
2008
Mid Nov-March
2009
•Data collection
•Input Processing Period
•Output/Tabulation / Analisys period
April-May
2009
•Release date
June
2009
Dissemination Calendar
•Second quarter of the year n+2, considering n the reference
year of the survey
Method of collection
•Decentralized data collection by the network of IBGE’s regional
offices. The enterprise may choose to complete a paper form or
eletronic form. The delivery of the form and reception of the
answer may be done by the network of IBGE’s field offices or by
internet (both the access and the delivery)
Annual Industrial survey series
•PIA-EMPRESA
•1966-1969
•1972-1979
•1981-1984
•1986-1990
•1992-1995
•Last revision; 1996
•PIA-PRODUTO
•Data on product level were available only at the industrial census
and as part of the annual survey of manufacturing in the period
1966 to 1979. As a specific survey the initial year is 1998
Results of the survey
•Data became available in publication and eletronc format
•www.ibge.gov.br - SIDRA - .
•No preliminary release are available
Confidentiality
• The confidentiality of information collected by the Instituto
Brasileiro de Geografia e Estatistica is protected by law
• Rules on minimum number of contributors per output cell.
Questionnaire design
•
I – Register information of enterprises
•
II – Economic information
• A - Number of persons employed, wages, withdrawals and other
remuneration
• B – Sales, receipts for services and other revenues
• C – Costs and expenses
• D – Operating Profit after Monetary Adjustment
• E – Cost in the acquisition of fixed assets
• F – Cost - energy inputs
• G – Number of statistical units / Description of important products
• H – Regional Data
Key Variables – Employment and wages
Key Variables - Revenues – PIA Long form
Key Variables - Revenues – PIA Long form
Key Variables - Revenues – PIA Short form
Table Release – Selected Variables
Tabela - Variáveis selecionadas da Pia-Empresa - Brasil -
Variáveis selecionadas
Número de empresas
Pessoal ocupado total
Média de pessoal ocupado por empresa
Receita Líquida de Vendas (1)
Valor da transformação industrial (1)
Gastos de Pessoal (1)
Custos Diretos da Produção (1)
Investimentos Realizados para o Ativo Imobilizado (1)
Fonte: IBGE, Diretoria de Pesquisas, Coordenação de Indústria, Pesquisa Industrial Anual - Empresa .
(1) Valores em 1 000 reais.
Ano
Table Release - Revenue
Tabela - Estrutura das Receitas no Total da Indústria - Brasil -
Variáveis
Total (1)
Total das Receitas Brutas
Venda de Produtos e serviços industriais
Revenda de mercadorias e prestação de serviços não industriais
Outras receitas
Fonte: IBGE, Diretoria de Pesquisas, Coordenação de Indústria, Pesquisa Industrial Anual - Empresa .
(1) Valores em 1 000 reais.
%
Table Release Costs (expenses)
Tabela - Estrutura dos Custos e Despesas no Total da Indústria - Brasil -
Variáveis
Total dos Custos e Despesas
Gastos de Pessoal
Consumo de matérias-primas
Custo das mercadorias revendidas
Consumo de combustíveis e energia elétrica
Serviços prestados por terceiros e consumos diversos para manutenção e
reparação de máquinas e equipamentos
Depreciação, amortização e exaustão
Royalties e assistência técnica
Despesas com Propaganda
Outros custos e despesas (2)
Outros custos e despesas (3)
Fonte: IBGE, Diretoria de Pesquisas, Coordenação de Indústria, Pesquisa Industrial Anual - Empresa .
(1) Valores em 1 000 reais.
(2) Outros custos e despesas do total de empresas que responderam o questionário completo
(3) Outros custos e despesas do total de empresas que responderam o questionário simplificado
Total (1)
%
Monthly Industrial Surveys
•Employment and Salaries (PIMES)
•Index of Industrial Production (PIM-PF)
Monthly Industrial Surveys
•Employment and Salaries (PIMES)
•Objectives – Data on monthly performance of employment and
salaries in Mining and Manufacturing activities used for the
construction of monthly indicators on employment and wages
•Coverage – Mining and Manufacturing enterprises
•Frequency – Monthly
•Key Variables – Number of employe; salaries ; paid work hours;
admittances and dismissals.
Monthly Industrial Surveys
•Employment and Salaries
•Statistical basic unit – Local units of Mining and Manufacturing
enterprises
•Sample design – A stratified sample of local units based on
IBGE´s Central Business Register: stratified samples using
number of employees to divide the universe in 4 strata: a
certainty stratum for enterprises with 500 or more employees
and 3 random stratum for the others
•Size – Number of local units surveyed 5700 local units
•Types of survey forms – One form
Monthly Industrial Surveys
•Employment and Salaries
•Method of collection
Decentralized data collection by the network of IBGE’s regional
offices. The enterprise may choose to complete a paper form or
eletronic form. The delivery of the form and reception of the
answer may be done by the network of IBGE’s field offices or by
internet (both the access and the delivery)
More than 95% of eletronic form in 2009
Monthly Industrial Surveys
•Employment and Salaries
•Data products and users
• Governmental agencies: short term movements
• Dissemination in IBGE´s website
• Several kinds of users (public organizations, researches,
enterprises,...)
•Level of data dissemination
• Data are available for a group or 18 manufacturing
activities (CNAE 2-digit level or an agregation of them)
and for 16 regional areas
Monthly Industrial Surveys
•Employment and Salaries
•Dissemination calendar
• The dissemination calendar is available at IBGE´s website
for the whole year at the end of the prior year. Data are
available 45 days after the reference month of the index.
•Previous series
•1985-2000
•Last revision
•2001
Monthly Industrial Surveys
•Questionnaire design
Monthly Industrial Surveys
•Index of Industrial Production (PIM-PF)
•Objectives – Data on monthly performance of the industrial sector (monthly
index of physical production)
•Coverage – Mining and Manufacturing enterprises
•Frequency – Monthly
•Key Variables – For a predeterminant list of product: data on quantity
produced
Monthly Industrial Surveys
•Index of Industrial Production (PIM-PF)
•Statistical basic unit – Local units of Mining and Manufacturing enterprises
•Classification – Prodlist (for selected products); CNAE (for the results)
•Sample design – A cut-off sample of local units from the Annual Product
Survey (PIA-PRODUTO); the certainty stratum is composed by the main
producers among a group of 800 selected products (covering at least 70% of
production value)
•Size – Number of local units surveyed: 3900 local units
•Types of survey forms – One form
Monthly Industrial Surveys
•Index of Industrial Production (PIM-PF)
•Method of collection
•Decentralized data collection by the network of IBGE’s regional offices. The
enterprise may choose to complete a paper form or eletronic form. The
delivery of the form and reception of the answer may be done by the network
of IBGE’s field offices or by internet (both the access and the delivery)
•More than 95% of eletronic form in 2009
Monthly Industrial Surveys
•Index of Industrial Production (PIM-PF)
•Data products and users
• National Accounts: for estimates of quarterly GDP
• Governmental agencies: short term movements of the industrial
sector
• Dissemination in IBGE´s website
• Several kinds of users (public organizations, researches,
enterprises,...)
•Level of data dissemination
• At national level: index by CNAE divisions (27) and industrial
subsections (76) and broad economic categories
• Regionally, for Federal States with the participation of at least 1% of
the industrial production, are available indexes by industry division (2digit)
Monthly Industrial Surveys
•Index of Industrial Production (PIM-PF)
•Dissemination calendar
• The dissemination calendar is available at IBGE´s website for the
whole year at the end of the prior year. Data are available 40 days
after the reference month of the index.
•Previous series
•1974-1981, initial year 1971
•1981-1991
•1991-2002
•Last revision
•2002 current series have linked results since 1991
Monthly Industrial Surveys
•Questionnaire design
Monthly Industrial Surveys
•Questionnaire design
General information
•Department in charge
• Diretoria de pesquisas (DPE)
• Coordenação de industria (COIND)
•Contact information
• Name: Flavio R.K. Magheli
• Email: [email protected]
• Phone: +55 21 21424513