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Page 1: BREAKFAST October 31, 2017 · 2020. 7. 20. · 6.0. 6.1. 6.2. 235. 240. 245. 250. 255. REIF Labor Force in Thousands. Minnesota and Wisconsin Labor Force in Millions

BREAKFASTOctober 31, 2017

Page 2: BREAKFAST October 31, 2017 · 2020. 7. 20. · 6.0. 6.1. 6.2. 235. 240. 245. 250. 255. REIF Labor Force in Thousands. Minnesota and Wisconsin Labor Force in Millions

• P R E S E N T E D B Y •

Page 3: BREAKFAST October 31, 2017 · 2020. 7. 20. · 6.0. 6.1. 6.2. 235. 240. 245. 250. 255. REIF Labor Force in Thousands. Minnesota and Wisconsin Labor Force in Millions

ECONOMIC TRENDS IMPACTING THE 15 COUNTY REGION

Alexander Hook

Bureau of Business and Economic Research Labovitz School of Business and Economics, UMD

Page 4: BREAKFAST October 31, 2017 · 2020. 7. 20. · 6.0. 6.1. 6.2. 235. 240. 245. 250. 255. REIF Labor Force in Thousands. Minnesota and Wisconsin Labor Force in Millions

UNEMPLOYMENT RATESU

nem

ploy

men

tRat

e

5%

4%

2%

3%

4%

5%

6%

7%

8%

9%

10%

2012 2013 2014 2015 2016 2017

REIF Unemployment MN & WI Unemployment

Source: LAUS, 2017© 2017 REIF • National Bank of CommerceUniversity of Minnesota Duluth

Page 5: BREAKFAST October 31, 2017 · 2020. 7. 20. · 6.0. 6.1. 6.2. 235. 240. 245. 250. 255. REIF Labor Force in Thousands. Minnesota and Wisconsin Labor Force in Millions

LABOR FORCE SIZE

Source: LAUS, 2017

5.8

5.9

6.0

6.1

6.2

235

240

245

250

255

Min

neso

ta a

nd W

isco

nsin

Lab

or F

orce

in M

illio

ns

RE

IF L

abor

For

cein

Tho

usan

ds

Minnesota & Wisconsin REIF Region

© 2017 REIF • National Bank of CommerceUniversity of Minnesota Duluth

Page 6: BREAKFAST October 31, 2017 · 2020. 7. 20. · 6.0. 6.1. 6.2. 235. 240. 245. 250. 255. REIF Labor Force in Thousands. Minnesota and Wisconsin Labor Force in Millions

SELECTED OCCUPATIONS IN THE REIF REGION

Occupation Jobs in Region

2017

EmploymentGrowth Rates

2012 - 2017

Hourly Earnings (Compared to Nat’l Average)

2017

Health Care 38,000 7% $25.39 ($1.16)

Government (includes education) 37,500 -1% $26.93 ($8.41)

Retail Trade 25,500 2% $12.90 ($3.02)

Professional, Scientific, and Technical 8,500 14% $23.96 ($14.43)

Mining and Oil Extraction 5,000 -16% $39.66 ($0.11)

Water Resources 3,500 9% $15.18 ($0.89)© 2017 REIF • National Bank of Commerce

University of Minnesota DuluthSource: EMSI, 2017

Page 7: BREAKFAST October 31, 2017 · 2020. 7. 20. · 6.0. 6.1. 6.2. 235. 240. 245. 250. 255. REIF Labor Force in Thousands. Minnesota and Wisconsin Labor Force in Millions

SELECTED OCCUPATIONS IN THE REIF REGION

Occupation Jobs in Region

2017

EmploymentGrowth Rates

2012 - 2017

Hourly Earnings (Compared to Nat’l Average)

2017

Health Care 38,000 7% $25.39 ($1.16)

Government (includes education) 37,500 -1% $26.93 ($8.41)

Retail Trade 25,500 2% $12.90 ($3.02)

Professional, Scientific, and Technical 8,500 14% $23.96 ($14.43)

Mining and Oil Extraction 5,000 -16% $39.66 ($0.11)

Water Resources 3,500 9% $15.18 ($0.89)© 2017 REIF • National Bank of Commerce

University of Minnesota DuluthSource: EMSI, 2017

Page 8: BREAKFAST October 31, 2017 · 2020. 7. 20. · 6.0. 6.1. 6.2. 235. 240. 245. 250. 255. REIF Labor Force in Thousands. Minnesota and Wisconsin Labor Force in Millions

SELECTED OCCUPATIONS IN THE REIF REGION

Occupation Jobs in Region

2017

EmploymentGrowth Rates

2012 - 2017

Hourly Earnings (Compared to Nat’l Average)

2017

Health Care 38,000 7% $25.39 ($1.16)

Government (includes education) 37,500 -1% $26.93 ($8.41)

Retail Trade 25,500 2% $12.90 ($3.02)

Professional, Scientific, and Technical 8,500 14% $23.96 ($14.43)

Mining and Oil Extraction 5,000 -16% $39.66 ($0.11)

Water Resources 3,500 9% $15.18 ($0.89)© 2017 REIF • National Bank of Commerce

University of Minnesota DuluthSource: EMSI, 2017

Page 9: BREAKFAST October 31, 2017 · 2020. 7. 20. · 6.0. 6.1. 6.2. 235. 240. 245. 250. 255. REIF Labor Force in Thousands. Minnesota and Wisconsin Labor Force in Millions

SELECTED OCCUPATIONS IN THE REIF REGION

Occupation Jobs in Region

2017

EmploymentGrowth Rates

2012 - 2017

Hourly Earnings (Compared to Nat’l Average)

2017

Health Care 38,000 7% $25.39 ($1.16)

Government (includes education) 37,500 -1% $26.93 ($8.41)

Retail Trade 25,500 2% $12.90 ($3.02)

Professional, Scientific, and Technical 8,500 14% $23.96 ($14.43)

Mining and Oil Extraction 5,000 -16% $39.66 ($0.11)

Water Resources 3,500 9% $15.18 ($0.89)© 2017 REIF • National Bank of Commerce

University of Minnesota DuluthSource: EMSI, 2017

Page 10: BREAKFAST October 31, 2017 · 2020. 7. 20. · 6.0. 6.1. 6.2. 235. 240. 245. 250. 255. REIF Labor Force in Thousands. Minnesota and Wisconsin Labor Force in Millions

WATER RESOURCE OCCUPATIONS

• Water and Wastewater Treatment Plant and System Operators

• Great Lakes Water Transportation Workers

• Ship and Boat Captains and Operators

• Fishers and Related Fishing Workers

• Sailors and Marine Oilers

• Hydrologists

• Motorboat Operators

• Port and Harbor Operations

• Environmental Science Technicians

• Fish and Game Wardens

• Farming Occupations

• Forestry Occupations

© 2017 REIF • National Bank of CommerceUniversity of Minnesota Duluth

Source: EMSI, 2017

Page 11: BREAKFAST October 31, 2017 · 2020. 7. 20. · 6.0. 6.1. 6.2. 235. 240. 245. 250. 255. REIF Labor Force in Thousands. Minnesota and Wisconsin Labor Force in Millions

GROWTH OF WATER RESOURCE OCCUPATIONS

© 2017 REIF • National Bank of Commerce • University of Minnesota Duluth

Source: EMSI, 2017Base year 2012

9%

0%

24%

REIF MN & WI

Page 12: BREAKFAST October 31, 2017 · 2020. 7. 20. · 6.0. 6.1. 6.2. 235. 240. 245. 250. 255. REIF Labor Force in Thousands. Minnesota and Wisconsin Labor Force in Millions

SELECTED WATER RESOURCE OCCUPATIONS

Occupation Jobs in Region

2017

EmploymentGrowth Rates

2012-2017

Hourly Earnings (Compared to

Nat’l Avg.)2017

Water Treatment Plant Workers 350 -1% $23.80 ($1.80)

Conservation Technicians 325 5% $18.12 ($0.44)

Fishing and Related Workers 270 20% $12.78 ($4.03)

Water Transportation Workers 150 7% $29.57 ($0.37)

Hydrologists 10 10% $34.84 ($3.03)

© 2017 REIF • National Bank of CommerceUniversity of Minnesota Duluth Source: EMSI, 2017

Page 13: BREAKFAST October 31, 2017 · 2020. 7. 20. · 6.0. 6.1. 6.2. 235. 240. 245. 250. 255. REIF Labor Force in Thousands. Minnesota and Wisconsin Labor Force in Millions

SELECTED WATER RESOURCE OCCUPATIONS

Occupation Jobs in Region

2017

EmploymentGrowth Rates

2012-2017

Hourly Earnings (Compared to

Nat’l Avg.)2017

Water Treatment Plant Workers 350 -1% $23.80 ($1.80)

Conservation Technicians 325 5% $18.12 ($0.44)

Fishing and Related Workers 270 20% $12.78 ($4.03)

Water Transportation Workers 150 7% $29.57 ($0.37)

Hydrologists 10 10% $34.84 ($3.03)

© 2017 REIF • National Bank of CommerceUniversity of Minnesota Duluth Source: EMSI, 2017

Page 14: BREAKFAST October 31, 2017 · 2020. 7. 20. · 6.0. 6.1. 6.2. 235. 240. 245. 250. 255. REIF Labor Force in Thousands. Minnesota and Wisconsin Labor Force in Millions

SELECTED WATER RESOURCE OCCUPATIONS

Occupation Jobs in Region

2017

EmploymentGrowth Rates

2012-2017

Hourly Earnings (Compared to

Nat’l Avg.)2017

Water Treatment Plant Workers 350 -1% $23.80 ($1.80)

Conservation Technicians 325 5% $18.12 ($0.44)

Fishing and Related Workers 270 20% $12.78 ($4.03)

Water Transportation Workers 150 7% $29.57 ($0.37)

Hydrologists 10 10% $34.84 ($3.03)

Source: EMSI, 2017

© 2017 REIF • National Bank of CommerceUniversity of Minnesota Duluth

Page 15: BREAKFAST October 31, 2017 · 2020. 7. 20. · 6.0. 6.1. 6.2. 235. 240. 245. 250. 255. REIF Labor Force in Thousands. Minnesota and Wisconsin Labor Force in Millions

SELECTED WATER RESOURCE OCCUPATIONS

Occupation Jobs in Region

2017

EmploymentGrowth Rates

2012-2017

Hourly Earnings (Compared to

Nat’l Avg.)2017

Water Treatment Plant Workers 350 -1% $23.80 ($1.80)

Conservation Technicians 325 5% $18.12 ($0.44)

Fishing and Related Workers 270 20% $12.78 ($4.03)

Water Transportation Workers 150 7% $29.57 ($0.37)

Hydrologists 10 10% $34.84 ($3.03)

Source: EMSI, 2017© 2017 REIF • National Bank of Commerce

University of Minnesota Duluth

Page 16: BREAKFAST October 31, 2017 · 2020. 7. 20. · 6.0. 6.1. 6.2. 235. 240. 245. 250. 255. REIF Labor Force in Thousands. Minnesota and Wisconsin Labor Force in Millions

CONCLUSION• Unemployment rates have been slowly decreasing

• Labor force continues to decline in the REIF region

• Growth in health care and professional jobs

• Water resource occupations saw growth of 9% since 2012 in the REIF region

• Fishing and water transportation lead growth

© 2017 REIF • National Bank of CommerceUniversity of Minnesota Duluth

Page 17: BREAKFAST October 31, 2017 · 2020. 7. 20. · 6.0. 6.1. 6.2. 235. 240. 245. 250. 255. REIF Labor Force in Thousands. Minnesota and Wisconsin Labor Force in Millions

CONSUMER CONFIDENCE INDICATORS

Almira SalimgarievaUniversity of Wisconsin-Superior

Page 18: BREAKFAST October 31, 2017 · 2020. 7. 20. · 6.0. 6.1. 6.2. 235. 240. 245. 250. 255. REIF Labor Force in Thousands. Minnesota and Wisconsin Labor Force in Millions

CONSUMER CONFIDENCE INDICATORS

• INDEX OF CONSUMER SENTIMENT (ICS)Consumer outlook on personal finances, business conditions and consumption spending

• INDEX OF CURRENT CONDITIONS (ICC)Gauges current state of the economy

• INDEX OF CONSUMER EXPECTATIONS (ICE)Projects future economic and financial conditions

© 2017 REIF • National Bank of CommerceUniversity of Wisconsin-Superior

Page 19: BREAKFAST October 31, 2017 · 2020. 7. 20. · 6.0. 6.1. 6.2. 235. 240. 245. 250. 255. REIF Labor Force in Thousands. Minnesota and Wisconsin Labor Force in Millions

CONSUMER CONFIDENCE INDICATORS

© 2017 REIF • National Bank of CommerceUniversity of Wisconsin-Superior

104.41

104.44

104.43

100

101

102

103

104

105

106

Fall 2013 Fall 2014 Fall 2015 Fall 2016 Fall 2017

ICS

ICC

ICE

PUBLIC SURVEY (RANDOM SAMPLE): 155

Source: UWS Consumer Confidence Survey

Page 20: BREAKFAST October 31, 2017 · 2020. 7. 20. · 6.0. 6.1. 6.2. 235. 240. 245. 250. 255. REIF Labor Force in Thousands. Minnesota and Wisconsin Labor Force in Millions

CONSUMER CONFIDENCE INDICATORS

© 2017 REIF • National Bank of CommerceUniversity of Wisconsin-Superior

94.78

95.39

93949596979899

100101

Fall 2014 Fall 2015 Fall 2016 Fall 2017

ICS

ICC

ICE

SURVEY of REIF PARTICIPANTS (NON-RANDOM SAMPLE): 112

94.36

Source: UWS Consumer Confidence Survey

Page 21: BREAKFAST October 31, 2017 · 2020. 7. 20. · 6.0. 6.1. 6.2. 235. 240. 245. 250. 255. REIF Labor Force in Thousands. Minnesota and Wisconsin Labor Force in Millions

CONSUMER CONFIDENCE INDICATORS

© 2017 REIF • National Bank of CommerceUniversity of Wisconsin-Superior

Indicator Public Survey (Random)

REIF Survey(Non-Random)

ICSRising optimism about short-term economic outlook

Weakening short-term economic outlook

ICC Strong current state of the economy

Economy is slowing down

ICEExpectations of continued economic expansion

Expectations of continued economic expansion

Page 22: BREAKFAST October 31, 2017 · 2020. 7. 20. · 6.0. 6.1. 6.2. 235. 240. 245. 250. 255. REIF Labor Force in Thousands. Minnesota and Wisconsin Labor Force in Millions

Very Important Somewhat Important Not Important & DoNot Know

% of Respondents

PublicREIF

18%

73%

IMPORTANCE OF REGIONAL WATER RESOURCES FOR REIF’S ECONOMY

© 2017 REIF • National Bank of CommerceUniversity of Wisconsin-Superior

88%

12%

Source: UWS Consumer Confidence Survey

9%

Page 23: BREAKFAST October 31, 2017 · 2020. 7. 20. · 6.0. 6.1. 6.2. 235. 240. 245. 250. 255. REIF Labor Force in Thousands. Minnesota and Wisconsin Labor Force in Millions

NUMBER ONE REASON FOR USING REGIONAL WATER RESOURCES

Drinking Recreation Fishing Trans & Other Do Not Use

% of Respondents

PublicREIF

8%

16%

3%

© 2017 REIF • National Bank of CommerceUniversity of Wisconsin-Superior

55%

31%28%

33%

Source: UWS Consumer Confidence Survey

19%

1%5%

Page 24: BREAKFAST October 31, 2017 · 2020. 7. 20. · 6.0. 6.1. 6.2. 235. 240. 245. 250. 255. REIF Labor Force in Thousands. Minnesota and Wisconsin Labor Force in Millions

SUMMARY OF CONSUMER SURVEY

© 2017 REIF • National Bank of CommerceUniversity of Wisconsin-Superior

Consumer Confidence Indicators

Mixed sentiments about current economy among random households and past REIF participants; both groups are optimistic about future economic conditions

Importance of Regional Water Resources

High percentage of respondents think that regional water resources are very important for the local economy

Top Two Uses of Regional Water Resources

Drinking water & recreation

Page 25: BREAKFAST October 31, 2017 · 2020. 7. 20. · 6.0. 6.1. 6.2. 235. 240. 245. 250. 255. REIF Labor Force in Thousands. Minnesota and Wisconsin Labor Force in Millions

REGIONAL EQUITYINDEX

Mitchell BlombergUniversity of Wisconsin-Superior

Page 26: BREAKFAST October 31, 2017 · 2020. 7. 20. · 6.0. 6.1. 6.2. 235. 240. 245. 250. 255. REIF Labor Force in Thousands. Minnesota and Wisconsin Labor Force in Millions

EQUITY PERFORMANCEANALYSIS

STOCKS OF LOCAL INTEREST

• Allete

• Ascena Retail Group

• Calumet

• Canadian National Railway

• Charter Communications

• Cliffs Natural Resources

• Enbridge Energy Partners

• Louisiana-Pacific

• Marriott International

• Morgan Stanley

• Polymet

• UnitedHealth Group

• USG Corporation

• U.S. Steel

© 2017 REIF • National Bank of CommerceUniversity of Wisconsin Superior

Page 27: BREAKFAST October 31, 2017 · 2020. 7. 20. · 6.0. 6.1. 6.2. 235. 240. 245. 250. 255. REIF Labor Force in Thousands. Minnesota and Wisconsin Labor Force in Millions

GROWTH OF $100

$0

$100

$200

$300

REIF INDEX RETURNS MID CAP RETURNS OIL RETURNS

$279

$235

$151

© 2017 REIF • National Bank of CommerceUniversity of Wisconsin Superior

Source: Yahoo Finance

Page 28: BREAKFAST October 31, 2017 · 2020. 7. 20. · 6.0. 6.1. 6.2. 235. 240. 245. 250. 255. REIF Labor Force in Thousands. Minnesota and Wisconsin Labor Force in Millions

GROWTH OF $100

$0

$100

$200

$300

REIF INDEX RETURNS MID CAP RETURNS OIL RETURNS

$279

$235

$151

© 2017 REIF • National Bank of CommerceUniversity of Wisconsin Superior

Source: Yahoo Finance

Page 29: BREAKFAST October 31, 2017 · 2020. 7. 20. · 6.0. 6.1. 6.2. 235. 240. 245. 250. 255. REIF Labor Force in Thousands. Minnesota and Wisconsin Labor Force in Millions

REIF AND MID-CAP CORRELATION

0

50

100

150

REIF INDEX RETURNS MID CAP RETURNS

42% UNIQUE TO REIF REGION

58% CORRELATION TO MID-CAP

© 2017 REIF • National Bank of CommerceUniversity of Wisconsin Superior

Source: Yahoo Finance

Page 30: BREAKFAST October 31, 2017 · 2020. 7. 20. · 6.0. 6.1. 6.2. 235. 240. 245. 250. 255. REIF Labor Force in Thousands. Minnesota and Wisconsin Labor Force in Millions

SUMMARY OF FINDINGS

MORNINGSTAR® VALUELINE®

• PerformanceSlightly outperform

• SafetySlightly underperform

• TechnicalSlightly underperform

• Price StabilityUnderperform

• Price GrowthAverage

ANALYST OPINIONS

© 2017 REIF • National Bank of CommerceUniversity of Wisconsin Superior

• P/E RatioPrices significantly higher than industry standards

• Forward EarningsExpected to decrease slightly

• Short RatioIndex average decline to 6.24

Page 31: BREAKFAST October 31, 2017 · 2020. 7. 20. · 6.0. 6.1. 6.2. 235. 240. 245. 250. 255. REIF Labor Force in Thousands. Minnesota and Wisconsin Labor Force in Millions

ADDITIONAL FINDINGS

• REI vs S&P MID CAP 400Expected to slightly outperform

• Lack of technological industries in the region limits diversification

• Adding Marriott reflects the same volatility of the REI

• Regression analysis shows more price volatility, but higher returns

OVERALL IMPLICATIONS

© 2017 REIF • National Bank of Commerce University of Wisconsin Superior

Page 32: BREAKFAST October 31, 2017 · 2020. 7. 20. · 6.0. 6.1. 6.2. 235. 240. 245. 250. 255. REIF Labor Force in Thousands. Minnesota and Wisconsin Labor Force in Millions

BUSINESS CONFIDENCEINDICATORS

Katherine Grotte

Economics DepartmentThe College of St. Scholastica

Page 33: BREAKFAST October 31, 2017 · 2020. 7. 20. · 6.0. 6.1. 6.2. 235. 240. 245. 250. 255. REIF Labor Force in Thousands. Minnesota and Wisconsin Labor Force in Millions

BUSINESS CONFIDENCEINDICATORS

Fall 2015 108Spring 2016 109Fall 2016 108Spring 2017 107

Fall 2017 108

© 2017 REIF • National Bank of CommerceThe College of St. Scholastica

Number of surveys 105Source: CSS Business Confidence Survey

Page 34: BREAKFAST October 31, 2017 · 2020. 7. 20. · 6.0. 6.1. 6.2. 235. 240. 245. 250. 255. REIF Labor Force in Thousands. Minnesota and Wisconsin Labor Force in Millions

GENERAL BUSINESS CONFIDENCE

Last 6 months Next 6 months

© 2017 REIF • National Bank of CommerceThe College of St. Scholastica

Overall Outlook

Will Worsen15%

No Change 44%

Will Improve 41%

Worsened22%

Improved 47%

No Change 31%

Overall Outlook

Source: CSS Business Confidence Survey

Page 35: BREAKFAST October 31, 2017 · 2020. 7. 20. · 6.0. 6.1. 6.2. 235. 240. 245. 250. 255. REIF Labor Force in Thousands. Minnesota and Wisconsin Labor Force in Millions

SPECIFIC CONFIDENCE INDICATORS

Last 6 MonthsEmployment

28%

16%

Profits

33%

29%

Next 6 MonthsEmployment

23%

13%

Profits22%

24%

© 2017 REIF • National Bank of CommerceThe College of St. Scholastica

Source: CSS Business Confidence Survey

Page 36: BREAKFAST October 31, 2017 · 2020. 7. 20. · 6.0. 6.1. 6.2. 235. 240. 245. 250. 255. REIF Labor Force in Thousands. Minnesota and Wisconsin Labor Force in Millions

FACTORS LIMITING BUSINESS ACTIVITY

© 2017 REIF • National Bank of CommerceThe College of St. Scholastica

0

3

4

8

8

8

13

13

13

17

23

26

27

31

36

Shortage of Materials

Lack of Equipment

Access to Bank Credit

Regulations on mining industry

Cost of Land and Buildings

Cost of Materials

Others (please specify)

Housing

Legislation Relating to Healthcare

Government Policy

Weather Conditions

Competition in Own Sector

Cost of Labor

Demand

Shortage of Labor

Percentage of Respondents

Fact

ors

Source: CSS Business Confidence Survey

Page 37: BREAKFAST October 31, 2017 · 2020. 7. 20. · 6.0. 6.1. 6.2. 235. 240. 245. 250. 255. REIF Labor Force in Thousands. Minnesota and Wisconsin Labor Force in Millions

FACTORS LIMITING BUSINESS ACTIVITY

© 2017 REIF • National Bank of CommerceThe College of St. Scholastica

0

3

4

8

8

8

13

13

13

17

23

26

27

31

36

Shortage of Materials

Lack of Equipment

Access to Bank Credit

Regulations on mining industry

Cost of Land and Buildings

Cost of Materials

Others (please specify)

Housing

Legislation Relating to Healthcare

Government Policy

Weather Conditions

Competition in Own Sector

Cost of Labor

Demand

Shortage of Labor

Percentage of Respondents

Fact

ors

Source: CSS Business Confidence Survey

Page 38: BREAKFAST October 31, 2017 · 2020. 7. 20. · 6.0. 6.1. 6.2. 235. 240. 245. 250. 255. REIF Labor Force in Thousands. Minnesota and Wisconsin Labor Force in Millions

FACTORS LIMITING BUSINESS ACTIVITY

© 2017 REIF • National Bank of CommerceThe College of St. Scholastica

0

3

4

8

8

8

13

13

13

17

23

26

27

31

36

Shortage of Materials

Lack of Equipment

Access to Bank Credit

Regulations on mining industry

Cost of Land and Buildings

Cost of Materials

Others (please specify)

Housing

Legislation Relating to Healthcare

Government Policy

Weather Conditions

Competition in Own Sector

Cost of Labor

Demand

Shortage of Labor

Percentage of Respondents

Fact

ors

Source: CSS Business Confidence Survey

Page 39: BREAKFAST October 31, 2017 · 2020. 7. 20. · 6.0. 6.1. 6.2. 235. 240. 245. 250. 255. REIF Labor Force in Thousands. Minnesota and Wisconsin Labor Force in Millions

FACTORS LIMITING BUSINESS ACTIVITY

© 2017 REIF • National Bank of CommerceThe College of St. Scholastica

0

3

4

8

8

8

13

13

13

17

23

26

27

31

36

Shortage of Materials

Lack of Equipment

Access to Bank Credit

Regulations on mining industry

Cost of Land and Buildings

Cost of Materials

Others (please specify)

Housing

Legislation Relating to Healthcare

Government Policy

Weather Conditions

Competition in Own Sector

Cost of Labor

Demand

Shortage of Labor

Percentage of Respondents

Fact

ors

Source: CSS Business Confidence Survey

Page 40: BREAKFAST October 31, 2017 · 2020. 7. 20. · 6.0. 6.1. 6.2. 235. 240. 245. 250. 255. REIF Labor Force in Thousands. Minnesota and Wisconsin Labor Force in Millions

INVESTMENT IN ENVIRONMENTAL SUSTAINABILITY

© 2017 REIF • National Bank of CommerceThe College of St. Scholastica

46

36

7

2

2

8

Less than $1,000

$1,000 to less than $10,000

$10,000 to less than $50,000

$50,000 to less than $100,000

$100,000 to less than $250,000

$250,000 or more

Number of Businesses

Budg

eted

Am

ount

Last 6 months budget

50

34

7

2

2

8

Less than $1,000

$1,000 to less than $10,000

$10,000 to less than $50,000

$50,000 to less than $100,000

$100,000 to less than $250,000

$250,000 or more

Number of Businesses

Budg

et A

mou

nt

Next 6 months budget

Source: CSS Business Confidence Survey

Page 41: BREAKFAST October 31, 2017 · 2020. 7. 20. · 6.0. 6.1. 6.2. 235. 240. 245. 250. 255. REIF Labor Force in Thousands. Minnesota and Wisconsin Labor Force in Millions

IMPORTANCE OF WATER

© 2017 REIF • National Bank of CommerceThe College of St. Scholastica

• 31% said clean water was a reason for their business location

• 71% said their business would see strong negative effects if water quality was compromised

Page 42: BREAKFAST October 31, 2017 · 2020. 7. 20. · 6.0. 6.1. 6.2. 235. 240. 245. 250. 255. REIF Labor Force in Thousands. Minnesota and Wisconsin Labor Force in Millions

SUMMARY• 41% of businesses anticipate increased business.

• 23% of businesses plan to increase employment.

• Labor shortage is the biggest factor limiting increased business activity.

• 71% of local businesses are positively affected by our water resources.

© 2017 REIF • National Bank of CommerceThe College of St. Scholastica

Page 43: BREAKFAST October 31, 2017 · 2020. 7. 20. · 6.0. 6.1. 6.2. 235. 240. 245. 250. 255. REIF Labor Force in Thousands. Minnesota and Wisconsin Labor Force in Millions

SUMMARY OF STUDENT PRESENTATIONS

© 2017 REIF • National Bank of Commerce

Water resource occupations saw growth of 9% since 2012 in the REIF region.

Consumers have mixed sentiments about current economic conditions; optimistic about future.

Regional Equity Index (REI) expected to continue to outperform S&P Mid Cap 400.

41% of businesses expect improvement in business conditions over the next 6 months.

71% of local businesses are positively affected by the region’s water resources.

Page 44: BREAKFAST October 31, 2017 · 2020. 7. 20. · 6.0. 6.1. 6.2. 235. 240. 245. 250. 255. REIF Labor Force in Thousands. Minnesota and Wisconsin Labor Force in Millions

TEXT YOUR QUESTIONS at any time during this presentation to

© 2017 REIF • National Bank of Commerce

218.721.8318

Page 45: BREAKFAST October 31, 2017 · 2020. 7. 20. · 6.0. 6.1. 6.2. 235. 240. 245. 250. 255. REIF Labor Force in Thousands. Minnesota and Wisconsin Labor Force in Millions

Water economics

Steve PolaskyUniversity of Minnesota Twin Cities

& The Natural Capital Project

Page 46: BREAKFAST October 31, 2017 · 2020. 7. 20. · 6.0. 6.1. 6.2. 235. 240. 245. 250. 255. REIF Labor Force in Thousands. Minnesota and Wisconsin Labor Force in Millions

Multiple ways that water creates value

Page 47: BREAKFAST October 31, 2017 · 2020. 7. 20. · 6.0. 6.1. 6.2. 235. 240. 245. 250. 255. REIF Labor Force in Thousands. Minnesota and Wisconsin Labor Force in Millions

Drinking water supply

Page 48: BREAKFAST October 31, 2017 · 2020. 7. 20. · 6.0. 6.1. 6.2. 235. 240. 245. 250. 255. REIF Labor Force in Thousands. Minnesota and Wisconsin Labor Force in Millions

Irrigation

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Energy Production

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Water is an input into virtually every product…

• Source: https://water.usgs.gov/edu/activity-watercontent.php

Product Gallons of water used in production

Coffee (one cup) 35 gallons

Egg (one) 50 gallons

Corn (one pound) 110 gallons

Cotton (one shirt) 650 gallons

Beef (one pound) 1840 gallons

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Multiple ways in which water creates value

• Clean drinking water• Input for industry and commerce• Irrigation and agriculture• Energy production• Transportation• Commercial fishing• Recreation (fishing, boating, swimming)• Tourism• Aesthetic value• Cultural value…

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Divergence between market value and value to society

The value of the view: priceless

Fiji water US annual sales: $424 millionSales of top 10 companies: ~$9 billionwww.statista.com/statistics/188312/top-bottled-still-water-brands-in-the-united-states/

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Externalities• Externalities exist

when the actions of one agent directly affects the welfare of another agent and is not reflected in market prices

• Inefficient outcomes: misalignment of private with social incentives

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Externalities and the prisoner’s dilemma

Superior

DuluthClean up emissions

Business-as-usual

Clean up emissions

1,1 -1,2

Business-as-usual

2, -1 0, 0

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Public goods

• Public good: a good that is both “non-rival” and “non-excludable”

• Problem of free riding

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Public good examples

• Lighthouse • Clean water • Clean air• Global climate• National defense• Public radio

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Problem of public goods and externalities

• Markets provide incentives for private goods

• Externalities and public goods are examples of market failure

• Little incentive for individual company to spend money to provide clean water

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The Millennium Ecosystem Assessment (2005)

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Millennium Ecosystem Assessment

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Millennium Ecosystem Assessment

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Presenter
Presentation Notes
Research innovation, NGO mainstreaming
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We work to integrate the value nature provides to society into all major decisions.Our ultimate objective is to improve the well-being of all people and nature by motivating greater and more targeted natural capital investments.

Presenter
Presentation Notes
Research innovation, NGO mainstreaming
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“InVEST”Integrated Valuation of Ecosystem

Services and Tradeoffs

http://www.naturalcapitalproject.org

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Cost effective land use planning: Optimizing land use and land

management patterns to maximize social benefits

Lake Pepin Photo by Guy Schmickle

Pennington, et al. 2017. Ecological Economics 139: 75-90.

Presenter
Presentation Notes
Proposition: The size, scope and complexity of the Lake Pepin TMDL call for early and extensive involvement of stakeholders to maximize chances for success….To define “success”, we first have to define TMDL.
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Context • Policy context: Lake Pepin TMDL

requires 50 to 80% reductions of phosphorus and sediment from current levels

• Estimate benefits and costs associated with alternative ways to improve water quality

• Benefits and costs include:– Changes in agricultural returns– Changes in the value of non-market

ecosystem services

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Seven Mile Creek

Seven Mile Creek Watershed Location

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Seven Mile Creek

Land Use

Water/wetlandsRoadsResidential/developedForestHay/PastureRow Crops Source: NLCD 2001

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Model Inputs• National Land Cover

Database (NLCD) 2001 for data on baseline land use

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Model outputs• Ecosystem Services:

– Water Quality – Carbon Sequestration– Agriculture production and profitability

• Biodiversity Conservation – Habitat quality for grassland birds– Habitat quality for forest birds

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Efficiency frontier• The goal of the analysis is to find

land-use patterns that maximize phosphorus reductions for a given market return to landowners

• Frontiers– With and without value of ecosystem

services– “Current market returns” based on

2007-2011 price and cost data– “Historic market returns” based on

2002-2006 price and cost data

Presenter
Presentation Notes
TO ADD… We combine results from the biophysical and economic models to search for efficient land-use patterns. By maximizing the biophysical score over the entire range of possible economic scores we can trace out an efficiency frontier for the landscape. The efficiency frontier illustrates what can be achieved in terms of biophysical and economic objectives by carefully arranging the spatial allocation of activities across the landscape. The efficiency frontier also demonstrates the degree of inefficiency of other land-use patterns not on frontier. Our biophysical objectives are change in P and Sediment Reduction form the baseline and change in market returns (from agriculture) and market + non-market (other ecosystem services) returns. Today we present two frontiers for the biophysical objective, change in P reduction, when constrained by two the economic objectives: change in market returns and total net returns. The goal of the analysis is to find land-use patterns that maximize the landscape TMDL reductions for a given landscape economic score, and vice versa. By finding the maximum TMDL reduction for a fixed economic score, and then varying the economic score over its entire potential range, we trace out the efficiency frontier (also called a production possibility frontier). The efficiency frontier illustrates what is feasible to attain from the landscape in terms of the TMDL and economic objectives, and the necessary tradeoffs between the TMDL and economic objectives on the landscape. The efficiency frontier also illustrates the degree of inefficiency of other land-use patterns not on the frontier, showing the amount by which TMDL reductions and/or economic score could be increased. Because the optimization problem in this model is an integer program involving a large number of HRUs, each with a number of potential land uses, the discrete choice space is very large. With J parcels that can be put into I different land uses there are IJ potential land-use patterns to choose from.
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Efficiency frontiers for sediment and phosphorus reduction

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Efficiency frontiersBlue: without value of ecosystem services

Red: with value of ecosystem services

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Efficiency frontiers:Solid lines: 2007-2012 prices

Dotted lines: 2002-2006 prices

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Moving north

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Water issues• Competitive advantage:

of abundant clean water– Tourism and recreation– Water as vital input to

industry (pulp and paper, brewing…)

• Sustainable use of water resources: – Maintaining clean water

(removing pollutants)

• Potential tradeoffs – Cost of pollution control– Risk

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Evaluating tradeoffs: two framings

• All-or-nothing: mining vs. wilderness

• Dominated by emotion and moral indignation - my side is right and the other side wrong (or immoral)

• Formula for political conflict

New York Times October 15, 2017

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Evaluating tradeoffs: two framings

• Evaluating tradeoffs: – Careful consideration

of benefits and costs – Careful considerations

of potential risks• Where and how

should activity take place?

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Application to mining• Benefits of mining:

– Profit from mining operation

– Jobs– Tax revenue

• Potential environmental costs– Water resources: drinking

water, recreation, wild rice, aquatic habitat

– Air quality: emissions mostly from power generation

– Habitat: wetlands, forests – Noise…

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Evaluation of benefits, costs, and risks

• Science– Evaluating alternatives– Understanding links from actions to impacts (if we choose

an alternative, what set of consequences follow?)– Understanding likelihood of various consequences (risks)

• Science provides the set of facts on which to evaluate alternatives

• Judgement– Evaluation of tradeoffs (Does increase in profit/ and jobs

justify an increase in risk to water resources?)– Understanding distribution of benefits and costs: who wins

and who loses?

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Getting to decisions that improve outcomes

• Avoid the rush to judgement

• Avoid casting decisions as all-or-nothing

• Science to understand likely consequences of alternative choices

• Deliberation on distribution of benefits, costs, risk across groups in society

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Thank You !

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RESOURCES

© 2017 REIF • National Bank of Commerce

National Bank of Commercenbcbanking.com

The College of St. Scholastica

Robert Hoffman, Ph.DAssistant Professor of Economics

[email protected]

University of Minnesota Duluth

Monica HaynesDirector of the Bureau of Business

and Economic [email protected]

University of Wisconsin Superior

Rubana Mahjabeen, Ph.D.Assistant Professor of Economics

[email protected]

Sakib Mahmud, Ph.D.Assistant Professor in Sustainable

Management and [email protected]

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PARTICIPATE

© 2017 REIF • National Bank of Commerce

To participate in the next

round of surveys, please

complete the form on your

table and drop it off at the

registration table as you leave.

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SAVE THE DATE

© 2017 REIF • National Bank of Commerce

Tuesday, March 27, 2018

Lake Superior Ballroom, DECC

THE NEXTREGIONAL ECONOMIC INDICATORS FORUM

Check your inboxes to provide feedback on today’s event or go online at tinyurl.com/REIF2017Fall