Canadian Break-Out Session Niagara BiNational Region

Transcription

1 Canadian Break-Out Session Niagara BiNational Region Presented by Jim Milway, Executive Director The Institute for Competitiveness and Prosperity Niagara-on-the-Lake September 27, September 27, Institute for Competitiveness and Prosperity

2 This is a copy of the breakout presentation given by James Milway in Niagara-on-the-Lake on September 27, It was one of the afternoon breakout sessions of the day long roundtable - Growing Knowledge Clusters in Niagara BiNational: Higher Ed and Industry in Partnership. This document provides an outline of the presentation and is incomplete without the accompanying oral commentary and discussion. It represents work in progress based on research conducted by the Institute for Competitiveness and Prosperity. Much of the material is from the Institute s first and second Working Papers which can be viewed at our Web site, The Web site also provides more information on the Institute and the Task Force on Competitiveness, Productivity, & Economic Progress. We ask that you acknowledge the Institute as the source if you use the material from this presentation. 2 September 27, Institute for Competitiveness and Prosperity

3 Measuring Ontario s Prosperity Drawing on our work to date Productivity and competitiveness drive economic progress Mapping the performance gap Hamilton and St. Catharines Cluster Data 3 September 27, Institute for Competitiveness and Prosperity

4 Component parts of GDP per Capita GDP Per Capita: Potential labour force Jobs Hrs Worked Population X Potential labour force X Jobs X GDP Hrs Worked Profile Utilization Intensity Participation Employment Productivity Cluster mix Cluster content Urbanization Effectiveness Source: Adapted from Baldwin, J., Maynard, J.P., and Wells, S.(2000). Productivity Growth in Canada and the United States. Isuma. Vol. 1, No. 1 (Spring 2000). Ottawa: Policy Research Initiative. 4 September 27, Institute for Competitiveness and Prosperity

5 Why GDP per capita? Measures value added in economy How well Ontarians convert natural, capital and labour resources into products and services of value to consumers in Ontario and around the world ties into productivity, key part of Task Force mandate Per capita element enables comparisons over time and across jurisdictions Most commonly used measure thereby allowing comparisons between jurisdictions Correlates closely with other proposed measures GNP, Personal Income, Personal Disposable Income 5 September 27, Institute for Competitiveness and Prosperity

6 Canada Among Leading Nations GDP per Capita at Purchasing Power Parity (PPP) in $US (2000) Rank Country GDP per capita at PPP 1 United States $35,619 2 Norway $30,166 3 Switzerland $30,138 4 Ireland $29,174 5 Denmark $29,061 6 Canada $27,998 7 Netherlands $27,836 8 Austria $27,001 Note: Only countries with population over 3.8 million are included here. If all countries were included, Canada would rank 8 th. Source: OECD Main Accounts, National Data; CANSIM 6 September 27, Institute for Competitiveness and Prosperity

7 Ontario Fares Well Among Leading Nations GDP per Capita at Purchasing Power Parity (PPP) in $US (2000) Rank Country GDP per Capita at PPP 1 United States $35,619 Ontario $30,420 2 Norway $30,166 3 Switzerland $30,138 4 Ireland $29,174 5 Denmark $29,061 6 Canada $27,998 7 Netherlands $27,836 8 Austria $27,001 Source: OECD Main Accounts, National Data; CANSIM; Institute for Competitiveness & Prosperity analysis 7 September 27, Institute for Competitiveness and Prosperity

8 Ontario versus The Four Motors $40,000 GDP Per Capita, 1999 (PPP) $30,000 $29,557 $28,958 $25,505 GDP/ Capita $20,000 $21,787 $21,388 $10,000 $0 Source: Statistics Canada; Eurostat Ontario Lombardia Baden- (Italy) Wurttemberg (Germany) Rhone-Alpes (France) Cataluna (Spain) 8 September 27, Institute for Competitiveness and Prosperity

9 Select States and Provinces for Comparison States and Provinces with Population over 6 Million California 33.9 Texas 20.9 New York 19.0 Florida 16.0 Illinois Pennsylvania Ontario Ohio Michigan 9.9 New Jersey Georgia North Carolina Quebec Virginia Massachusetts Indiana Note: US Statistics 2000; Canadian Statistics Source:Statistics Canada (Census 2001); US Census Bureau (Census 2000) Population in Millions 9 September 27, Institute for Competitiveness and Prosperity

10 Ontario in a North American Context GDP per Capita for Select States and Provinces (2000) (Provinces at Purchasing Power Parity in $US) Massachusetts New Jersey New York $43,151 $42,115 $44,878 California Illinois Virginia Georgia Texas $39,698 $37,626 $36,922 $36,175 $35,598 North Carolina Pennsylvania Ohio Michigan Indiana Ontario Florida $35,002 $32,895 $32,823 $32,740 $31,608 $30,420 $29,539 $4,880 below median ($US at PPP) Quebec $25, ,000 10,000 15,000 20,000 25,000 30,000 35,000 40,000 45,000 GDP per Capita at PPP in $US Source: OECD Main Accounts, National Data; CANSIM II; US Department of Commerce, BEA (June 2002); Institute for Competitiveness & Prosperity analysis 10 September 27, Institute for Competitiveness and Prosperity

11 Ontario s performance sine 1980 $000 $50.0 Real GDP per Capita Constant $US (2000) $40.0 $30.0 $20.0 highest in peer group median Ontario lowest in peer group $10.0 $ Ontario Rank 11th 11th 14th 14th 14th Performance Gap/Lead $828 $1,389 $2,140 $2,366 $4,880 Year Source: OECD; Statistics Canada; US Department of Commerce, BEA; Institute for Competitiveness & Prosperity analysis Note: 1980 data used for Ontario and Quebec based on 1981 results 11 September 27, Institute for Competitiveness and Prosperity

12 Measuring Ontario s Prosperity Drawing on our work to date Mapping the performance gap Ontario s GDP per capita trails the peer group median by $6,000, largely as the result of lower productivity or effectiveness Hamilton and St. Catharines Cluster Data 12 September 27, Institute for Competitiveness and Prosperity

13 Mapping the prosperity gap (US$000) $ $30.4 Prosperity Gap: $4,880 or 13.8% of GDP/capita Median GDP per capita Profile Participation Employment Mix of Urbanization Effectiveness clusters Ontario s Current GDP per capita (86.2% of median) Profile Utilization Productivity Source: Statistics Canada, Bureau of Economic Analysis, Institute for Competitiveness and Prosperity Note: Median comprises 16 North American jurisdictions with populations that exceed 6 million 13 September 27, Institute for Competitiveness and Prosperity

14 Ontario s demographic profile Working Age Population as % of Total Ontario and Selected North American Jurisdictions Quebec Georgia Ontario Virginia North Carolina Massachusetts Texas California New Jersey New York 69.3% 68.0% 68.0% 67.9% 67.2% 66.4% 66.3% 66.2% 66.2% 66.0% Indiana Illinois Michigan Ohio Pennsylvania Fl orida 66.0% 65.9% 65.9% 65.3% 64.4% 63.2% Ontario s favourable profile adds 2.6% to its GDP per capita 0.0% 10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% 80.0% Source: Statistics Canada, 2001 Census; U.S. Census Working Age (15-64) Population as % Total Population Bureau, Census September 27, Institute for Competitiveness and Prosperity

15 Mapping the prosperity gap (US$000) $ $30.4 Prosperity Gap: $4,880 or 13.8% of GDP/capita Median GDP per capita Profile Participation Employment Mix of Urbanization Effectiveness clusters Ontario s Current GDP per capita (86.2% of median) Profile Utilization Productivity Source: Statistics Canada, Bureau of Economic Analysis, Institute for Competitiveness and Prosperity Note: Median comprises 16 North American jurisdictions with populations that exceed 6 million 15 September 27, Institute for Competitiveness and Prosperity

16 Utilization: Participation & Employment Rates Participation rate x Employment rate = Utilization Workers + Job seekers Working Age Population x Employed people Workers + Job Seekers = Employed people Working Aged Population 16 September 27, Institute for Competitiveness and Prosperity

17 Ontario s Participation Rate is a strength Jurisdiction Texas Participation Rates 5 Year Average (1994-8) Participation Rates 5 Year Average (1994-8) 67.3% Indiana 67.1% Georgia Illinois Massachusetts Ontario New Jersey Virginia North Carolina California Michigan 66.1% 65.9% 65.8% 65.0% 64.8% 64.8% 64.7% 64.6% 64.3% Ohio Quebec Pennsylvania New York Florida 0% 10% 20% 30% 40% 50% 60% Percentage of people aged 15+ who are working or seeking employment Source: Statistics Canada, Labour Force Historical Review; Bureau of Labor Statistics, Current Employment Statistics; U.S. Census Bureau, Census % 61.2% 60.5% 60.5% 63.8% Ontario s overperformance adds 0.3% to GDP per capita 17 September 27, Institute for Competitiveness and Prosperity

18 Ontario s Employment Rate is an improvement opportunity 98% Average Employment Rate, % 14 U.S. States median 94% Ontario 92% 90% Quebec 88% Ontario s employment rate gap represents a 2.3% improvement opportunity 86% Source: Statistics Canada, Labour Force Survey; Bureau of Labour Statistics Note: U.S. states figure represents the median employment rate, for each year listed, for the 12 peer group states. 18 September 27, Institute for Competitiveness and Prosperity

19 Mapping the prosperity gap (US$000) $ $30.4 Prosperity Gap: $4,880 or 13.8% of GDP/capita Median GDP per capita Profile Participation Employment Mix of Urbanization Effectiveness clusters Ontario s Current GDP per capita (86.2% of median) Profile Utilization Productivity Source: Statistics Canada, Bureau of Economic Analysis, Institute for Competitiveness and Prosperity Note: Median comprises 16 North American jurisdictions with populations that exceed 6 million 19 September 27, Institute for Competitiveness and Prosperity

20 Annual Wage Correlates Closely with Productivity Productivity (Ontario = 100) 150 Wages vs. Productivity Ontario and Selected North Am erican Jurisdictions 140 New York Massachusetts 110 North Carolina 100 Ontario Indiana Michigan 90 Quebec R 2 = y = x $25,000 $30,000 $35,000 $40,000 $45,000 $50,000 Average Annual Wage Source: Statistics Canada, Bureau of Economic Analysis, Institute for Competitiveness and Prosperity 20 September 27, Institute for Competitiveness and Prosperity

21 Urbanization and Productivity Relative Labour Productivity Per cent of Population in Urban Areas vs. Labour Productivity (1997, Ontario labour productivity = 100) New York 130 New Jersey Massachusetts 120 Illinois California 110 Georgia Virginia Texas 100 North Carolina Indiana Ontario Ohio Pennsylvania Michigan Florida R 2 = Quebec Per cent of Population Living in Urban Areas Source: Le Letourneau, R. (2000). "A Regional Perspective on the Canada-US Standard of Living Comparison." Occasional Paper No. 22. Ottawa: Industry Canada; Statistics Canada, Census 2001; U.S. Census Bureau; Census 2000; Institute for Competitiveness and Prosperity 21 September 27, Institute for Competitiveness and Prosperity

22 Impact of Ontario s Low Urbanization Relative Labour Productivity Per cent of Population in Urban Areas vs. Labour Productivity (1997, Ontario labour productivity = 100) New Jersey New York Massachusetts 120 Illinois California 110 Georgia Virginia Texas 100 North Carolina Indiana Ontario Ohio Pennsylvania Michigan Florida R 2 = Quebec A shift to median urbanization improves productivity by 8.7% - this translates directly to GDP per capita Per cent of Population Living in Urban Areas Source: Le Letourneau, R. (2000). "A Regional Perspective on the Canada-US Standard of Living Comparison." Occasional Paper No. 22. Ottawa: Industry Canada; Statistics Canada, Census 2001; U.S. Census Bureau; Census 2000; Institute for Competitiveness and Prosperity 22 September 27, Institute for Competitiveness and Prosperity

23 Intensity: National Data 35.5 Avg Weekly Hours 35.0 Average Weekly Hours, Canada and U.S. ( ) 34.5 USA Canada Source: Sharpe, A. (2001). Determinants of Trends in Living Standards in Canada and the United States, International Productivity Monitor No. 2 Spring September 27, Institute for Competitiveness and Prosperity

24 Mapping the prosperity gap (US$000) $ $30.4 Prosperity Gap: $4,880 or 13.8% of GDP/capita Median GDP per capita Profile Participation Employment Mix of Urbanization Effectiveness clusters Ontario s Current GDP per capita (86.2% of median) Profile Utilization Productivity Source: Statistics Canada, Bureau of Economic Analysis, Institute for Competitiveness and Prosperity Note: Median comprises 16 North American jurisdictions with populations that exceed 6 million 24 September 27, Institute for Competitiveness and Prosperity

25 Performance leads and gaps within the peer group PROFILE UTILIZATION PRODUCTIVITY GDP per capita Profile Participation Employment Cluster Mix Urbanization Effectiveness Performance Lead or Gap Massachusetts $44,878 $135 $750 $656 $998 $4,448 $2,590 $9,578 New Jersey $43,151 $0 $73 $48 $448 $916 $6,463 $7,851 New York $42,115 $128 $2,952 $385 $288 $2,697 $7,295 $6,816 California $39,698 $0 $98 $605 $316 $4,155 $630 $4,398 Illinois $37,626 $171 $651 $42 $957 $885 $38 $2,326 Virginia $36,922 $924 $51 $629 $173 $1,002 $1,194 $1,623 Georgia $36,175 $958 $734 $172 $400 $3,362 $2,775 $875 Texas $35,598 $54 $1,374 $159 $37 $906 $1,914 $298 N. Carolina $35,002 $521 $49 $461 $908 $3.995 $3,673 $298 Pennsylvania $32,895 $919 $1.926 $40 $146 $145 $771 $2,405 Ohio $32,823 $452 $478 $120 $36 $1.377 $253 $2,477 Michigan $32,740 $149 $250 $176 $55 $150 $2,432 $2,560 Indiana $31,608 $96 $1,125 $512 $117 $4,122 $30 $3,691 Ontario $30,420 $805 $103 $713 $825 $2,653 $3,247 $4,880 Florida $29,539 $1,402 $2,086 $131 $1,000 $2,851 $4,255 $5,761 Quebec $25,052 $1,121 $1,324 $1,430 $101 $4,082 $4,634 $10,248 median $35,300 $0 $1 $1 $0 $3 $330 $0 Source: Statistics Canada; Bureau of Economic Analysis, Institute for Competitiveness and Prosperity 25 September 27, Institute for Competitiveness and Prosperity

26 Measuring Ontario s Prosperity Drawing on our work to date Mapping the performance gap Hamilton and St. Catharines Cluster Data 26 September 27, Institute for Competitiveness and Prosperity

27 The Metal Manufacturing Cluster Leading CMA s by Traded Cluster Employment (2000) Ontario CMA Employment Location Quotient 1 Toronto 42, Hamilton 23, Kitchener 7, St. Catharines 7, Windsor 6, London 3, Oshawa 1, Ottawa 1, Thunder Bay Sudbury Note: Location quotients are North American Source: Statistics Canada, Canadian Business Patterns (June 2000); Porter, Cluster Mapping Project, Institute for Strategy and Competitiveness, Harvard Business School; Institute for Competitiveness & Prosperity 27 September 27, Institute for Competitiveness and Prosperity

28 Components of the Metal Manufacturing Cluster Specialized Equipment Metal Equipment Processing Inputs Wire and Springs Specialized Products Nonferrous Mills and Foundries Fasteners Metal Products Nonferrous Metals Iron and Steel Mills and Foundries Metal Furniture Metal Processing Metal Machine Tools Related Metal Products Vehicles Narrow Sub Clusters Metal Armaments Automotive Parts and Equipment 43 Narrow Sub Cluster Industries 24 Broad Sub Cluster Industries Related Machinery Related Metal Equipment Related Processing Broad Sub Clusters Source: Porter, Cluster Mapping Project, Institute for Strategy and Competitiveness, Harvard Business School; Institute for Competitiveness & Prosperity analysis 28 September 27, Institute for Competitiveness and Prosperity

29 The Education and Knowledge Creation Cluster Leading CMA s by Traded Cluster Employment (2000) Ontario CMA Employment Location Quotient 1 Toronto 54, Ottawa 23, Hamilton 10, Kitchener 9, London 7, Windsor 3, St. Catharines 3, Sudbury 2, Thunder Bay 2, Oshawa 1, Note: Location quotients are North American Source: Statistics Canada, Canadian Business Patterns (June 2000); Porter, Cluster Mapping Project, Institute for Strategy and Competitiveness, Harvard Business School; Institute for Competitiveness & Prosperity 29 September 27, Institute for Competitiveness and Prosperity

30 The Education and Knowledge Creation Cluster Printing Research Instruments Pharmaceuticals Educational Institutions Professional Services Computer Equipment Research Research Facilities Computer Software and Services Related Professional Services Computer and Software Distribution Communication Services Supplies Publishing Information Services Narrow Sub Clusters Broad Sub Clusters 10 Narrow Sub Cluster Industries 30 Broad Sub Cluster Industries Source: Porter, Cluster Mapping Project, Institute for Strategy and Competitiveness, Harvard Business School; Institute for Competitiveness & Prosperity analysis 30 September 27, Institute for Competitiveness and Prosperity

31 The Hospitality and Tourism Cluster Leading CMA s by Traded Cluster Employment (2000) Ontario CMA Employment Location Quotient 1 Toronto 47, Ottawa 12, St. Catharines 10, Windsor 4, Hamilton 4, Kitchener 3, London 2, Sudbury 2, Thunder Bay 1, Oshawa 1, Note: Location quotients are North American Source: Statistics Canada, Canadian Business Patterns (June 2000); Porter, Cluster Mapping Project, Institute for Strategy and Competitiveness, Harvard Business School; Institute for Competitiveness & Prosperity 31 September 27, Institute for Competitiveness and Prosperity

32 The Hospitality and Tourism Cluster Related Transportation Related Professional Services Tour Services Tourism Attractions Other Attractions Support Services Accommodations Passenger Transportation Marine Services Specialized Inputs Local Transportation Air Services Other Support Services Narrow Sub Clusters Vehicle Distribution Broad Sub Clusters 22 Narrow Sub Cluster Industries 12 Broad Sub Cluster Industries Source: Porter, Cluster Mapping Project, Institute for Strategy and Competitiveness, Harvard Business School; Institute for Competitiveness & Prosperity analysis 32 September 27, Institute for Competitiveness and Prosperity

33 The Automotive Cluster Leading CMA s by Traded Cluster Employment (2000) Ontario CMA 1 Toronto 2 Oshawa 3 Windsor 4 Kitchener 5 London 6 St. Catharines 7 Hamilton 8 Ottawa 9 Sudbury 10 Thunder Bay Employment 53,023 22,833 21,447 9,969 8,897 7,568 4,041 1, Location Quotient Note: Location quotients are North American Source: Statistics Canada, Canadian Business Patterns (June 2000); Porter, Cluster Mapping Project, Institute for Strategy and Competitiveness, Harvard Business School; Institute for Competitiveness & Prosperity 33 September 27, Institute for Competitiveness and Prosperity

34 Components of the Automotive Cluster Related Vehicles Related Machinery Transportation Equipment Motor Vehicles Forgings & Stampings Automotive Parts Related Equipment Related Parts Flat Glass Production Equipment Automotive Components Narrow Sub Clusters Metal Processing 14 Narrow Sub Cluster Industries 18 Broad Sub Cluster Industries Other Engines Broad Sub Clusters By share of traded cluster employment ranks 10 th in the US, 3 rd in Ontario and 17 th in the rest of Canada Source: Porter, Cluster Mapping Project, Institute for Strategy and Competitiveness, Harvard Business School; Institute for Competitiveness & Prosperity analysis 34 September 27, Institute for Competitiveness and Prosperity

35 The Processed Food Cluster Leading CMA s by Traded Cluster Employment (2000) Ontario CMA Employment Location Quotient 1 Toronto 42, Kitchener 6, Hamilton 6, London 3, St. Catharines 1, Ottawa 1, Thunder Bay Windsor Oshawa Sudbury Note: Location quotients are North American Source: Statistics Canada, Canadian Business Patterns (June 2000); Porter, Cluster Mapping Project, Institute for Strategy and Competitiveness, Harvard Business School; Institute for Competitiveness & Prosperity 35 September 27, Institute for Competitiveness and Prosperity

36 Components of the Processed Food Cluster Distribution Packaged Foods Flour Malt Beverages Processed Dairy and Related Products Meat and Related Products Food Products Machinery Containers Candy and Chocolate Specialty Foods Milling Related Packaging Heavy Packaging Paper Packages and Boxes Narrow Sub Clusters Broad Sub Clusters 43 Narrow Sub Cluster Industries 6 Broad Sub Cluster Industries Source: Porter, Cluster Mapping Project, Institute for Strategy and Competitiveness, Harvard Business School; Institute for Competitiveness & Prosperity analysis 36 September 27, Institute for Competitiveness and Prosperity

37 Some Questions to Consider Together Based on your knowledge of St. Catharines, Hamilton and Halton, what industry clusters do you see as most critical to its competitiveness and prosperity? What are the three or four most important factors for the growth and competitiveness of the region and its clusters? What are the greatest strengths of the business environment for enhancing the competitiveness of businesses or industries in the region? What are the greatest challenges? How should universities and colleges contribute to the economic development of St. Catharines, Hamilton and Halton? 37 September 27, Institute for Competitiveness and Prosperity

38 What Can Canadian Universities Do? Aspirations Focus on the global peak and set goals accordingly Compete globally for faculty and students Seek unique and differentiated positioning Connectedness Seek to collaborate with proximate businesses Be guided in part by their needs And seek to guide them with your research-based insights 38 September 27, Institute for Competitiveness and Prosperity