The State of Minority- and Women- Owned ... - Cleveland.com

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NAICS Industry Group M/WBE Availability in the City of Cleveland’s Market Area NAICS Description Number of Listed M/WBEs Industry Weight Industry Weight (Cumulative) 4442 Lawn and Garden Equipment and Supplies Stores 21 0.43 94.18 3255 Paint, Coating, and Adhesive Manufacturing 2 0.41 94.59 3241 Petroleum and Coal Products Manufacturing 1 0.38 94.97 2382 Building Equipment Contractors 180 0.28 95.26 3351 Electric Lighting Equipment Manufacturing 5 0.27 95.53 3362 Motor Vehicle Body and Trailer Manufacturing 1 0.26 95.79 4412 Other Motor Vehicle Dealers 6 0.22 96.02 3256 Soap, Cleaning Compound, and Toilet Preparation Manufacturing 6 0.22 96.23 4422 Home Furnishings Stores 23 0.22 96.45 4242 Drugs and Druggists' Sundries Merchant Wholesalers 16 0.20 96.65 4235 Metal and Mineral (except Petroleum) Merchant Wholesalers 32 0.19 96.84 3327 Machine Shops; Turned Product; and Screw, Nut, and Bolt Manufacturing 48 0.18 97.02 3339 Other General Purpose Machinery Manufacturing 1 0.17 97.19 3363 Motor Vehicle Parts Manufacturing 3 0.17 97.35 3333 Commercial and Service Industry Machinery 3 0.16 97.51 Manufacturing 3149 Other Textile Product Mills 3 0.13 97.65 4532 Office Supplies, Stationery, and Gift Stores 12 0.13 97.78 3343 Audio and Video Equipment Manufacturing 3 0.12 97.90 3315 Foundries - 0.12 98.01 3274 Lime and Gypsum Product Manufacturing 1 0.11 98.13 3253 Pesticide, Fertilizer, and Other Agricultural Chemical - 0.11 98.24 Manufacturing 3211 Sawmills and Wood Preservation - 0.11 98.35 3372 Office Furniture (including Fixtures) Manufacturing 1 0.09 98.44 3254 Pharmaceutical and Medicine Manufacturing - 0.07 98.51 3115 Dairy Product Manufacturing - 0.07 98.58 3359 Other Electrical Equipment and Component Manufacturing 1 0.07 98.65 3336 Engine, Turbine, and Power Transmission Equipment Manufacturing - 0.06 98.71 4451 Grocery Stores 64 0.06 98.77 4249 Miscellaneous Nondurable Goods Merchant 10 0.06 98.83 Wholesalers 3118 Bakeries and Tortilla Manufacturing 7 0.05 98.88 3323 Architectural and Structural Metals Manufacturing 7 0.04 98.92 4481 Clothing Stores 55 0.04 98.97 3332 Industrial Machinery Manufacturing 4 0.04 99.01 2381 Foundation, Structure, and Building Exterior Contractors 20 0.04 99.05 3273 Cement and Concrete Product Manufacturing 5 0.04 99.09 3344 Semiconductor and Other Electronic Component Manufacturing 7 0.04 99.13 3272 Glass and Glass Product Manufacturing 4 0.03 99.16 NERA Economic Consulting 120
NAICS Industry Group M/WBE Availability in the City of Cleveland’s Market Area NAICS Description Number of Listed M/WBEs Industry Weight Industry Weight (Cumulative) 4471 Gasoline Stations 22 0.03 99.19 Source and Notes: See Table 4.1. 3. Verify Listed M/WBEs a. Introduction It is likely that information on M/WBEs from Dun & Bradstreet and other M/WBE directories is not correct in all instances. Phenomena such as ownership changes, associate or mentor status, recording errors, or even outright misrepresentation, will lead to businesses being listed as M/WBEs in a particular directory even though they may actually be owned by nonminority males. Other things equal, this type of error would cause our availability estimate to be biased upward from the actual availability number. The second likelihood that must be addressed is that not all M/WBE businesses are necessarily listed—either in Dun & Bradstreet or in any of the other directories we collected. Such phenomena as geographic relocation, ownership changes, directory compilation errors, fear of stigmatization, and limitations in M/WBE outreach, could all lead to M/WBEs being unlisted. Other things equal, this type of error would cause our availability estimate to be biased downward from the actual availability number. In our experience, we have found that both types of bias are not uncommon. For this Study, we corrected for the effect of these biases using statistical sampling procedures. We surveyed a large, stratified random sample of 6283 establishments drawn from the Baseline Business Universe and measured how often they were misclassified (or unclassified) by race and/or gender. 218 Strata were defined according to NAICS sectors and listed M/WBE status. 219 In the telephone survey, up to 10 attempts were made to reach each business and speak with an appropriate respondent. Attempts were scheduled for a mix of day and evening, weekdays and weekends, and appointments were scheduled for callbacks when necessary. Of the 6,587 firms in our sample, 3,202 (48.6%) were listed M/WBEs and 3,385 (51.4%) were unclassified by race or gender. Of these 6,587 firms, however, 745 (11.3%) were excluded as “unable to contact.” 218 A similar method was employed by the Federal Reserve Board to deal with similar problems in designing and implementing the National Survey of Small Business Finances for 1993 and 1998. See Haggerty, C., K. Grigorian, R. Harter and J. D. Wolken (2000). 219 Eighteen separate industry strata were created based on NAICS code. All 18 strata were then split according to listed M/WBE status to create a total of 36 strata. Generally, listed M/WBEs were sampled at a higher rate than unclassified establishments. NERA Economic Consulting 121
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The State of Minority- and Women- O
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About the Project Team NERA Economi
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Notice This report sets forth the i
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Contents C. Race and Gender Dispari
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List of Tables Table 4.5. Services
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List of Tables Table 5.14. Disparit
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List of Tables Table 7.10. M/WBE Ut
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List of Tables Table 8.10. Percent
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List of Tables Table AC.32. Industr
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C. Defining the Relevant Markets Ex
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Table A. Overall Current Availabili
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Executive Summary disparity analysi
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Executive Summary • A greater sha
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Executive Summary Table C. Utilizat
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Contracting Category/ M/WBE Type Ex
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Executive Summary contract performa
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I. Introduction Introduction The Ci
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Legal Standards for Government Affi
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B. Preparing the Master Contract/Su
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Defining the Relevant Markets Table
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Page 88 and 89: • Franklin County, OH (Columbus)
Page 90 and 91: NAICS Industry Group NAICS Descript
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Market-Based Disparities in Busines
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VI. Statistical Disparities in Capi
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B. Theoretical Framework and Review
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Statistical Disparities in Capital
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D. Qualitative Evidence Statistical
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Table 6.7. Types of Problems Facing
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Table 6.9. Determinants of Loan Den
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Table 6.10. Alternative Models of L
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Table 6.13. Models of Interest Rate
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1. Qualitative Evidence Statistical
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) Prejudice against women. c) Preju
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Table 6.19. Determinants of Loan De
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Table 6.21. Models of Interest Rate
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2. Differences in Loan Denial Rates
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Table 6.26. Determinants of Loan De
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Table 6.28. Models of Credit Card U
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Table 6.31. Determinants of Interes
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B. M/WBE Utilization M/WBE Utilizat
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M/WBE Utilization and Disparity in
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Anecdotal Evidence of Disparities i
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The City of Cleveland’s Cleveland
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Blanchflower, D. G., P. Levine and
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References Fairlie, R. W. (1999),
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References Ladd, H. F. (1998), “E
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References U.S. Census Bureau (2004
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Appendix A. Glossary Demand-side: R
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Appendix A. Glossary NSSBF or SSBF.
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Appendix B. Master M/WBE Directory
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Appendix B. Master M/WBE Directory
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Appendix C. Detailed Utilization, A
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NERA Economic Consulting Barton Cre
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