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OECD Workshop

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Title: A Statistical/Information Proposal in Support of Policy Changes Author: HSD Last modified by: matthews_e Created Date: 10/20/1997 12:28:54 PM – PowerPoint PPT presentation

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Learn more at: https://www.oecd.org
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Title: OECD Workshop


1
OECD Workshop
  • SME Data Collection
  • Statistics Canadas Experience
  • Presented by Terry Evers
  • Director, Small Business and Special Surveys

2
Opening Remarks
  • Work in Progress
  • Challenges
  • Budget and resources
  • Definition of SME
  • Information needs
  • Identifying / linking data sources
  • Standardizing definitions and concepts

3
Introduction
  • Statistics Canada organization
  • What lead up to identifying the need for data on
    SMEs
  • Free Trade / Globalization / New economies (KBI)
    / Need for Innovation
  • Economy driven to large extent by SMEs
  • Need to know what impact SMEs are having on the
    Canadian economy

4
Early Data on SMEs
  • Limited scope, specific objectives, partial
    picture of SMEs
  • Funded by Provincial Governments and Industry
    Canada

5
Small Business Profiles
  • Coverage Incorporated non-incorporated
    businesses (30,000 - 5M)
  • Data Source Tax returns (CCRA)
  • T2 electronic / T1 paper tax return
  • Usage Enables firms to compare themselves to
    typical firms in same industry, revenue size
    province

6
Small Business Profiles (Cont.)
  • Users Industry Canada, Finance Canada,
    Provincial and Territorial Ministries of Finance,
    businesses and consultants
  • Data Availability Bi-annual since 1993
  • Limitations
  • Timeliness T1 sample size Industry level of
    outputs available

7
Employment Dynamics
  • Coverage All employer businesses
  • Data Source Administrative Data (T4 slips)
  • Usage Business entry and exit job creation and
    loss by geographic area and industry

8
Employment Dynamics (cont.)
  • Users Industry Canada, Provincial and
    Territorial Governments
  • Data Availability Annually since 1996
  • Limitations
  • Latest data covers 1983-99
  • Data is by establishment so hard to reconcile
    with labour statistics which is by enterprise

9
Small Business FinancingSupply Side Survey
  • Coverage Enterprises 5M in finance leasing
  • Data Source Administrative data from banks,
    finance companies, portfolio managers, venture
    capital companies, financial funds
  • Usage / Users Discussed in T. Daviss paper on
    Needs from a Canadian User Perspective

10
Small Business FinancingSupply Side Survey
(cont.)
  • Availability Reference year 2000 and 2001
  • Limitations
  • Using authorization size as proxy for business
    size
  • Cant relate outcomes to Demand Side which is
    based on business size (employment)
  • Excludes GBEs not-for-profit orgs angels
    foreign suppliers

11
Small Business FinancingDemand Side Survey
  • Coverage 500 employees 50M revenue
  • Data Source
  • National sample survey of businesses to determine
    nature and outcome of requests for financing
  • Follow-up survey of all businesses who indicated
    that they had requested financing (approx 25) to
    determine sources and importance of financing
  • Usage / Users Discussed in T. Daviss paper on
    Needs from a Canadian User Perspective

12
Small Business FinancingDemand Side Survey
(cont.)
  • Availability Reference year 2000 and 2001
  • Limitations
  • Sample sizes limits detail available on selected
    financing characteristics
  • No data on importance of financing to failed
    start-ups and failed businesses

13
Next Steps
  • Inventory of data on SMEs at Statistics Canada
  • Reviewing direction and priorities for Small
    Business Financing Initiative frequency and
    scope of surveys
  • Reviewing survey content
  • Obtaining business size on Supply Survey
  • Including attitude questions on Demand Survey

14
Next Steps
  • Conduct more detailed investigations into other
    sources of financing (Angels, GBEs), Women
    Entrepreneurs, Importance of financing as it
    relates to business cycle (start-up, steady
    state, fast growth)
  • Historical analysis using 3 years of data
    available from the Demand and Supply Survey
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