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Why data? Mississippi River Hills February 17, 2006

Why data? Mississippi River Hills February 17, 2006. Amy Lake, Extension Associate Community Policy Analysis Center University of Missouri-Columbia 230 Middlebush Hall Columbia MO 65211 573-882-5412 lakea@missouri.edu. Community Policy Analysis Center University of Missouri-Columbia.

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Why data? Mississippi River Hills February 17, 2006

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  1. Why data?Mississippi River HillsFebruary 17, 2006 Amy Lake, Extension Associate Community Policy Analysis Center University of Missouri-Columbia 230 Middlebush Hall Columbia MO 65211 573-882-5412 lakea@missouri.edu

  2. Community Policy Analysis CenterUniversity of Missouri-Columbia CPAC's Mission: To provide research, outreach and training that supports improved policy decisions affecting communities http:www.cpac.missouri.edu

  3. CPAC partnerships with communities Objectives for Community Decision Support • Enhanced quality of community information • Improved access to information for all citizens • Broader participation in decision making • Improved capacity for "what-if" analysis Questions that Communities Ask • Something just happened in our community.  What does it mean? • How important is this industry to our economy? • What can we do to improve the quality of life in our community? How CPAC Works with Communities • The project is community-directed • CPAC's objective is decision support • A CPAC project is a partnership

  4. Community Enterprise and Entrepreneurial Development (CEED) • New UMC Extension program • Five pilot projects received grants in MO 2005 • CEED interim director: Karen Dabson Amy Lake’s role • Mississippi River Hills’ CEED “Liaison” to the UMC (member of CEED Core Team) • Help MRH partners find necessary TA and information available through UM • Provide CEED Program with feedback from you

  5. Letitia Johnson, Ste. Genevieve Extension, about MS River Hills Project “If there are only two words you remember from this presentation, remember… REGIONAL IDENTITY”

  6. Regional identity means… Need regional data, research and evaluation to 1. Make better decisions 2. Show effectiveness of project

  7. Dr. Ray Massey, MU Dept of Ag Economics, about Horizon Point Weather • “PRECISE” information • “PROCESSED” information • “For better MANAGEMENT decisions” “Accurate information” is a relative term

  8. Data Challenges • Regional data for 6 counties in Mississippi River Hills area are not readily available • Much data is available for individual counties • Data on the impacts of entrepreneurship are not readily available • Region may need to identify its own measures of success / change / impact

  9. Data collection process • Review and summarize previously completed assessments / research on region • Conduct community or regional assessment • General Focus: population, socioeconomic, business, public revenue and expenses • Specific Focus: Entrepreneurial Climate • Have public meeting to review data • Identify issues to follow up • Follow-up: primary data collection • REPORT INFO IN USABLE FORMAT

  10. Source: Bureau of Economic Analysis BEARFACTS

  11. Source: Bureau of Economic Analysis BEARFACTS

  12. Source: 2000 US Census

  13. Sector notes: (1) Forestry, fishing, related activities and other; (2) Real estate and rental and leasing; (3) Management of companies and enterprises; (4) Other services, except public administration Source: Iowa State University Office of Social and Economic Trend Analysis

  14. Sector notes: (1) Forestry, fishing, related activities and other; (2) Real estate and rental and leasing; (3) Management of companies and enterprises; (4) Other services, except public administration Source: Iowa State University Office of Social and Economic Trend Analysis

  15. Source: Iowa State University Office of Social and Economic Trend Analysis

  16. Source: Iowa State University Office of Social and Economic Trend Analysis

  17. Source: Iowa State University Office of Social and Economic Trend Analysis

  18. Source: Iowa State University Office of Social and Economic Trend Analysis

  19. Source: Iowa State University Office of Social and Economic Trend Analysis

  20. Source: Iowa State University Office of Social and Economic Trend Analysis

  21. Source: Iowa State University Office of Social and Economic Trend Analysis

  22. Recent research / secondary data Entrepreneurship in Missouri http://oseda.missouri.edu/meric/index.shtml By OSEDA (Office of Social and Economic Data Analysis) and MERIC (MO Economic Research and Information Center MO Department of Economic Development)

  23. From Report Entrepreneurship in Missouri by OSEDA and MERIC

  24. From Report Entrepreneurship in Missouri by OSEDA and MERIC Definition of Entrepreneur Full-Time Entrepreneurs are defined as those individuals who either report over 50 percent of their total income as self employment income or who classify themselves as self employed in either an incorporated or an unincorporated business. Part-Time Entrepreneurs are defined as those individuals who report between 20 and 50 percent of their total income as self employment income. Since many full-time business owners begin with a part-time business, the goal of the part-time self employment classification is to identify industries and occupations within regions that have the potential for significant business ownership and self employment income.

  25. From Report Entrepreneurship in Missouri by OSEDA and MERIC

  26. Do these data match our needs? Do these data answer our question? • Region ? • Definition of Entrepreneur ? • What else do we want to know about entrepreneurs in the region? How can we get data that answers our questions?

  27. CEED Project Data Questions • Is the number of entrepreneurs increasing? • Are entrepreneurs’ sales/profits of local produced products increasing as a result of the project? • Is the region drawing more tourists for longer visits? Are tourists aware of or visiting more regional businesses? How much money are they spending and what are they spending it on? • Are local residents purchasing locally produced products? • Is there potential to use internet to increase sales? If so, how?

  28. Reasons for community (MS River Hills ) to analyze and collect data • Learn more about yourself • Understand the effects of your project (MO Regional Cuisines Project / CEED grant) • Understand change and trends over time • Share information with others about the project • Identify potential opportunities for collaboration and challenges to be addressed collectively • Human resources issues, marketing issues • Make better business / project / policy decisions • Improve ability to access outside TA and grants

  29. Outsiders’ reasons for collecting and analyzing data in MS River Hills • Outside researcher reasons • Replicate project in other places • Develop best practices to share with others • Affect policy at local, state, regional level • Develop professional research portfolio • Institutional requirements of profession • Job satisfaction • Outside funder / grantmakers’ reasons • Ensure that investment will be / was worthy

  30. Entrepreneurs:is the number increasing? • Who are the ENTREPRENEURS in the MS River Hills area? • Secondary data: Age, residence, business type, other employment, education, gender • Primary data: Goals, experience, commitment to MO products, marketing preferences, challenges • ? Internet sales

  31. Customers • Secondary data: local tourism boards • Primary data: • Customer survey: Length of stay, residence, number, type and location of businesses visited, how found out about place/business, amount of money spent on different purchases (gas, hotel, gifts, etc), return customer/intent to return • Local business survey: customer base and draw, total sales, average sales amount, marketing strategies and goals, opportunity for cooperation

  32. Places: counties, cities, region • Secondary data: • People: Population, age, income, education, gender, household makeup, commuting patterns • Economy: sales tax, business mix (number and type of business), retail trade analysis, pull factor, jobs • Primary data: • Entrepreneurship environment: Surveys of local resources • Local residents: attitudes and buying habits (community survey) • Business: customer base, geographic pull of customers, number of employees, wages, benefits internet business activity, human resources issues, equipment issues, goals, • Potential: people who want/can open business, opportunity for cooperation, making links between big/small, different types of businesses

  33. What do you want to know? • Are there secondary data sources available to answer the question? • Who will gather and analyze it? How? How often? • Can the data be collected? • By whom? From Whom? Through what means? Why should people share data/incentive? • Who will analyze the data? • How will the data be reported back to source?

  34. Contact information Amy Lake Extension Associate Community Policy Analysis Center University of Missouri-Columbia 230 Middlebush Hall Columbia MO 65211 573-882-5412 lakea@missouri.edu Interim Director of CEED: Karen Dabson 573-884-0669Email:  dabsonk@missouri.edu

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