MANUFACTURING INDUSTRY

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Workshop on the Development of ASEAN Short-Term
Indicators
MANUFACTURING INDUSTRY DATA AND SURVEY
THE CASE OF CAMBODIA
By Try Sothearith
Sponsored by UNSD, ESCAP and ASEAN
Secretariat 6-10 August 2001, Bangkok
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• Sources of Indusry Data

• The Use of Industry Data

• Industry Establishment Survey

• Methodology and Survey Design

• Data Collection

• Data Processing

• Problems and Solutions

• Statistical Development Plan

• Recommendation

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NIS National Institute of Statistics

• Principle Agency of the Government

- Conducting Surveys and Censuses

• - Data Collection,Compilation, Analysis, and
• Publication and Dissemination of Statistical
• Data and Information

Statistical Data Collection are

• - Socio-Econominc condition of the poeple
• Estsablishment and Price Statistics
• Social and Demographic Statistics
• And other related services within
• Kingdom of Cambodia

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NIS Editing, Compiling, Analysing and
Dissemination
Surveys and Cencuses NIS and Ministries
Administrative Data Ministries and Agencies
Administrative Data Provincial Level
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• For planning and policy formulation of the
  government and private sector as well as the
  International Organization.

• Provide a Scientific Methodology and Key
• Indicator for the Stattistical Development
• Provide Both Local and Foreign Readers with
• Comprehensive Statistical and Other
• Informations
• Use for the Compilation of National Account

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THE SURVEY OF ESTABLISHMENTS
Survey of Establishments, SE 1995

• Introduction
• - The first SE in 1993
• - The second series of the annual SE in 1995
• - The SE 1995 expanded to cover four more
• sectors in addition to Industrial sector
  namely
• Construction,
• Wholesale Trade,
• Transportation and
• Hotel Establishments
• - The survey conducted by NIS and sponsored by
• the UNDP and ADB

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• Scope and Coverage

• Industry Sector

- Mining and Quarrying

• Manufacturing and Electricity
• Gas and Water

• Construction

• Wholesale Trade

• Services (Hotels)

• Reference Period

The data collected establishment reported
covered the operations of the establishment for
the calendar year 1995.
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• The sampling unit used is the establishment

• An establishment is defined as an economic unit
• Under a ownership or control
• (under the single legal entity)
• - One kind of economic activity at a single
• fixed location

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• The frame used for each sector and the procedure
  as follow

• Industrial Establishments

• Updated frame used 1993 SE list of est.
• Prepared by NIS
• Comparing the NIS list with the list of MIME
• - Establishment list which were not in the 1993
  NIS list were included in the latter and were
  assigned establishment control numbers (ECN).

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• Costruction Establishments

• The frame used was the list provided by the
  Department of Construction and
• Updated by the conduct of listing operation by NIS

• Transportation Establishments

• The frame used was the list provided by the
  Department of Transportation and
• Updated by the conduct of listing operation by NIS

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• Wholesale Trade Establishments

• The frame used was the register of trade provided
  by the Ministry of Commerc

• Hotels

• The frame used was the list of hotels provided by
  the Ministry of Tourism
• Updated by the conduct of listing operation by NIS

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• Used a stratified simple random sample

- For the industry sector, the establishment were
stratified by 3-digit 1990 ISIC Code and by
employment size ü Manufacturing ATE 50 and
over 100 ü Manufacturing ATE 20 49
50 ü Manufacturing ATE 10 19 25

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- Hotel establishments were stratified by number
of rooms ü 71 and over rooms 100 ü 31
70 rooms 50 ü below 30 rooms
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• - Construction, Electricity and Water, and
  Transportation completely enumerated
• Wholesale trading units were sample using the
  Simple Random Sampling (SRS) methods (N 100 est.)

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Items of Inquiry

• Common major items collected
• ü Economic activity or business
• ü Period of operation
• ü Legal Organization
• ü Economic Organization
• ü Percentage of Foreign Capital Participation
• ü Number of Person Engaged
• ü Compensation
• ü Receipt (Income)
• ü Cost
• ü Indirect Tax and Subsidies
• ü Value of Stocks
• ü Fixed Assets

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• Survey operation prepare by NIS with
• technical assistance of ADB project staff
• Training on survey operations conduct
• by NIS participated in by selected staff
• NIS
• Ministry of Industry Mine and Energy
• Provincial statistics services
• Method of data collection
• Personal interview
• Left questionnaire with Establishment
• and Collected after 10 days

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• Used the 1990 (ISIC) 3-digit ISIC

• Training on manual data editing conduct
• for the selected NIS staff

• Manual Processing

• Field and Office Verification

• Pre Computer Data Processig

• Coding and Editing

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• Computer Data Processing

• Data Entry
• Verification
• Machine Editing and Tabulation

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• Broblem For Administrative Data Used
• Traditional Data Collection
  

• Solution Set-up Streering Commitee
• (Concern Line-Ministries and ADB)

• Statistical Problem Solving

• Used of ISIC as Standard

• Time Line for Adm. Data Collection
• Standard Table Format

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• Broblem Large Number of Nonresponses
• Lack of Statistical Law
• Lack Knowledge on the Statistical
• Data Collection Purposes

• Solution
• NIS Establish Statistical Law
• Educate and Explane to the People

• Broblem
• Experience still Limited
• Finacial Suport

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• Cover in Phnom Penh Area only
• Industry 50 Establishment
• Hotels 50 Establishment

• Purpose
• For the Use of NA Purpose Only

• Broblem
• Data Very Limited and Not Enough
• Information to Compile and produce
• SE Quarterly Data

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STATISTICAL DEVELOPMENT PLAN

• Continue Discuss and Improvement on
• SE Survey Operation and Methodology
• Development and Conduct of SE 2001 in
• the year 2002
• Conduct SE Quarterly Survey starting
• 2002

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• ASEAN Country
• ü Learning Experience
• ü Adoption of Appropriate Methodology Used
• ü Coordination of ASEAN Secretariat

• Enhance a closer co-operation between the
• Royal Government of Cambodia and funding
• agencies including the UN and the
• Development banks, in ensuring a greater
• investment in Statistical Development

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Thank You Very Much