Socio-economic economic Benefits Benefits of Weather ... - Eumetsat

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May 22, 2015 - Simplified schematic of the met/hydro services “value chain” ... http://www.sip.ucar.edu/pdf/Primer_o
Socio-economic Benefits Socioof Weather Information Jeffrey K. Lazo Societal Impacts Program National Center for Atmospheric Research Boulder CO

43rd plenary session of CGMS May 22, 2015

Welcome to Boulder …

Source: https://www.google.com/search?q=picture+of+boulder+colorado&biw=1669&bih=964&tbm=isch&tbo=u&source=univ&sa=X&ei=LhtdVaUAYKqyATN3YG4BA&ved=0CDIQ7Ak#imgrc=FMvYgJz12IuJNM%253A%3B85vnDBWx7QftIM%3Bhttp%253A%252F%252Fkkofirm.com%252Fimages%252Fhome_backgrounds%252Fred_sky_flatirons_boulder.jpg%3Bhttp%253A%252F%252Fkkofirm.c om%252F%3B1500%3B995

Why economics? • Because economists need jobs too! • Program evaluation / program justification • Study of human behavior / decision making

What kind of economics? • Depends on purpose of the study … – Back-of-the envelope – Academic exercise – OMB Reviewed for program justification

Benchmarking Exercise US GDP = 16.77 trillion USD (2013) % average annual reduction in GDP caused by weather Annual $16.77 trillion x __________ % = __________ USD Weather Damages

% unmitigated without weather information _______ USD x __________ % = __________ USD

Value of Weather Information

% of wx info benefit attributable to satellites Value of _______ USD x __________ % = __________ USD Weather Satellites

Benchmarking Exercise US GDP = 16.77 trillion USD (2013) % average annual reduction in GDP caused by weather $16.77 trillion x ____0.5____ % = __83.85 B_ USD % unmitigated without weather information __83.85 B_ USD x __5.0____ % = ___4.19 B_ USD % of wx info benefit attributable to satellites ___4.19 B_ USD x ___10.0__ % = __419.25 M_ USD

Conceptual Framework “Weather Information Value Chain” • Tell the story of the process of information creation, dissemination, communication, use, and value • Example from USAID/WMO/World Bank SEB book • My weather information value chain • DOE Solar Weather Information Value Chain

Weather Information Value Chain

Components of the Service Production and Delivery System of NMHSs

Weather Information Value Chain

Simplified schematic of the met/hydro services “value chain”

Weather Information Value Chain

Economic values are the result of a complex process • Value can be added or lost at each step • Not a linear process • Ultimately value of weather information is a function of the ability of decision makers to receive, understand, and act on information on uncertain future events.

Weather Information Value Chain National Hydro-Meteorological Services (e.g., NWS)

Weather

Monitoring Observation

Modeling Forecasting

Media / Broadcasters

Emergency Managers / Public Officials

Vendors / Private Sector Meteorology

Dissemination Communication

Economic Sectors / Stakeholders

Perception Interpretation

Information Use / Decision Making

Economic Values

Weather Information Value Chain

Key Economic Concepts • Value of information • Decision making under uncertainty • Public goods

Valuation of benefits • Economics has the methods and theories • Do not need to develop new methods! • We don’t have many applications

Overview of economic valuation methods Sector Specific / Benchmarking / Expert Elicitation Non-market valuation techniques • Stated preference methods • Revealed preference methods Economic decision modelling • Decision analysis • Equilibrium models • Econometric models Avoided cost/damage assessments • including avoided mortality and morbidity impacts Benefits transfer

Some resources • “Primer on Economics for National Meteorological and Hydrological Services” –

http://www.sip.ucar.edu/pdf/Primer_on_Economics_for_NMHS_2009_08_06.pdf

• USAID/WMO/World Bank SEB Book – European RA IV economics group

• WMO – SERA WG

Valuing Weather and Climate: Economic Assessment of Meteorological and Hydrological Services Chapter 1: Introduction Chapter 2: The Production, Delivery and Use of Weather, Climate and Hydrological Services (Met/hydro services) Chapter 3: The Purposes of SEB Studies of Met/Hydro Services (Purposes of SEB) Chapter 4: Designing and Commissioning a SEB (Designing SEB) Chapter 5: Economic Essentials Chapter 6: Defining and Measuring Costs (Costs) Chapter 7: Defining and Measuring Benefits (Benefits) Chapter 8: Benefit Cost Analysis (BCA) Chapter 9: Communicating the Results of SEB Studies (Communications) Chapter 10: Looking Forward Appendix A: Glossary of Technical Terms Appendix B: Meteorological, Hydrological and Related Services Appendix C: A Short History of Studies of Socio-economic benefits of meteorological and hydrological services Appendix D: Complementary roles for other social science applications in SEB

Some thoughts on the SETT Findings from lit review – good stuff! Arctic Case Study • Good demonstration of value chain • Likely to find minimal values A recommendation • Case study on values to public – Primary mission of most NMHS – save lives – Important to policy makers – Likely large economic value (largest)

Value of improved hurricane forecasts and warnings to households

Value of Improved Hurricane Warnings

• •

11 total choice questions for each individual x 804 = 8,844 n for models = 8,733

Calculating Benefit of

Improved Landfall Location Variable Landfall location

Est -0.579

Mean 1.000

Marg. Benefits -0.579

Landfall location * Education (years)

0.033

14.534

0.483

Landfall location * House Type (dummy)

0.211

0.573

0.121

Landfall location * Evacuation likelihood with order

0.099

4.128

0.410

Landfall location * House Vulnerable (Alpha Factor Score) Landfall location * Cultural Theory - Individualist

0.141

0.000

0.000

-0.166

0.000

0.000

Landfall location * Barriers (Alpha Factor Score)

-0.099

0.000

0.000

Total Utility

0.434

Cost

-0.061

1.000

-0.061

Cost * Income (Thousands)

0.0001

57.799

0.006

Marginal Utility Income -0.055

WTP for improved landfall accuracy

$7.92

Back-of-the-envelope … Per household Attribute 5% to satellites US Households Annual benefit

$286/yr $14.30 115,610,216 $1,653,226,088.80

Summary Weather Information Value Chain – Making the connection from observations to decision making is the hard part – The economic tools and methods are there – The economic evaluation of improved decisions relatively straightforward Recommend – Literature review of all value of weather information studies – Case study of value to households

If you think this is important … weather community will have to fund the work

Thank You! Jeff Lazo [email protected] PO Box 3000, Boulder, Boulder, CO 80307 Office: 303303-497497-2857

http://www.weather.com/news/weather-hurricanes/20-amazing-hurricane-images-20130528