impacts of shale gas development: myths and realities

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Impacts of Shale Gas Development: Myths and Realities Alan J. Krupnick, Senior Fellow and Co-Director, Center for Energy and Climate Economics JRC-PIT-UH Conference Alan Krupnick June 20-21, 2017

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Impacts of Shale Gas Development:

Myths and Realities Alan J. Krupnick, Senior Fellow and Co-Director,

Center for Energy and Climate Economics

JRC-PIT-UH Conference

Alan Krupnick

June 20-21, 2017

Economic Myths and Realities

I. UOGD will create thousands of jobs and bring

local prosperity vs. Most benefits to outsiders and

the State:

Positive national impacts in US

Gas prices and electricity prices, generation shares

Pollution

Small GDP effect

Energy independence

Community impacts mixed

3

Change in Real GDP, High Shale Gas Case vs. Low Shale Gas Case

Source: Author calculations based on EMF 26 Report. 2013. Changing the Game?:

Emissions Markets and Implications of New Natural Gas Supplies.

Change in Electricity Price,

High Shale Gas Case vs. Low Shale Gas Case

Source: Author calculations based on EMF 26 Report. 2013. Changing the Game?: Emissions

Markets and Implications of New Natural Gas Supplies.

-20.0%

-18.0%

-16.0%

-14.0%

-12.0%

-10.0%

-8.0%

-6.0%

-4.0%

-2.0%

0.0%

2.0%

2010 2015 2020 2025 2030 2035

LIFT

US-REGEN

NEMS

MRN-NEEM

ADAGE

CIMS-US

ENERGY2020

EPA-IPM

Employment Multipliers

Study Employment

Multiplier

Methodology Focus

Scott & Associates

(2009)

76 Input-Output Estimates 2008 Haynesville shale impacts,

Louisiana.

IHS (2012) 5 Input-Output Predicts US employment from oil and gas, 2012-

35.

Munasib & Rickman

(2014)

3.37 in ND;

1.77 in AR

Statistical Estimates impact of shale in North Dakota,

Arkansas, and Pennsylvania, 2000-11.

Deck et al. (2008) 2.5-2.64 Input-Output Predicts Arkansas shale employment, 2008-12.

Considine et al.

(2011)

2.07 Input-Output Estimates 2010 Marcellus impacts for

Pennsylvania.

Considine et al.

(2010)

2.02 Input-Output Estimates 2009 Marcellus impacts for

Pennsylvania.

Brown (2014) 1.7 Statistical Analyzes county-level natural gas boom in 9

central US states, 2001-11.

Weinstein et al.

(2017)

1.5 Statistical Analyzes county-level income and employment in

US, 2001-2013

Weber (2014) 1.4 Statistical Analyzes non-metropolitan counties in AR, LA, OK,

TX from 1995-2010.

Weinstein (2014) 1.3 Statistical County-level analysis of shale boom in lower 28

states from 2001-11.

Tsvetkova &

Partridge (2015)

1.26 Statistical Examines oil and gas specialization in 6 Western

states, 1980-2011.

Community Externalities

II. Negative externalities are not systemic and isolated vs. Fracking is horribly damaging to health and the environment and must be stopped

• Risk-Benefit Matrix, Literature Reviews, original research(*) • Health and Safety

• Health, Seismicity, Truck accidents*

• Social • Property values*

• Education*

• Social License to Operate*

• Environmental

• Air

• Water (ground and surface) quantity* and quality*

• Land*

• Habitat Fragmentation*

Risk-Benefit Matrix: Health

Birth

Outcomes

Birthweight ~ Studies of mixed quality find mixed effects on term low birthweight.

Low APGAR ~ One study finds a positive association, while a high quality study finds

no association.

Preterm birth ~ Several studies report no association with development, while one

higher quality study and another lower quality study find an increase

in premature births with UOGD.

Small for

gestational age ~ Two studies report an increase in babies who are small for their

gestational age, while another higher quality study reports no

association.

Birth Defects ↑ One flawed study finds evidence of an increase in some birth defects,

but no association with one defect.

Cancer

CNS Tumors ↑ One study finds evidence of positive association with UOGD.

Childhood cancers Ø One lower quality study finds no association with UOGD.

Leukemia and

lymphoma ~

Studies report evidence for an increase or no association. One risk

assessment finds an elevated risk of leukemia and other cancers

based on air measurements of benzene, though another study finds

air measurements of pollutants to be below a threshold of concern.

Asthma Asthma ↑ One study reports increases in asthma hospitalizations, ER visits, and

prescriptions for asthma medications.

Other

health

Hospitalization ↑ One study finds an increase in hospital rates for some types of

inpatient cases, but no associations for most cases

Migraines ~ Two medium quality studies report no association while one lower

quality study reports an increase; all are self-reported symptoms

Multiple symptoms ↑ One study finds positive and no associations for different types of

self-reported symptoms

Low Birth Weight Incidence Near Shale Gas Wells

Source: Elaine Hill. “Shale Gas Development and Infant Health: Evidence from Pennsylvania.” Charles H. Dyson

School of Applied Economics and Management, Cornell University, 2012. Working Paper 2012-12.

Does Oil and Gas Development Raise Accident Rates in PA?

Results in the Bakken and Marcellus:

Quantitative

Student

#s

Student-

teacher

ratio

Total

Revenue

/pupil

Local State Education

SpendinCapital

Spendin

g/pupil

3rd

Grade

Scores

8th

Grade

Scores /pupil /pupil /pupil

Marcellu

s Math

PA

Math

English

OH Math Math

English English

WV Math Math

English English +

ND n/a n/a

*Arrows imply statistical significance and direction.

/ signs imply a trend direction but no statistical significance.

Heterogeneity in results between the Bakken and Marcellus

was also observed in interviews.

Spatial and Temporal Patterns of Water Use for Natural Gas Development

in the Susquehanna River Basin

• We collected and matched data on permitted surface water

withdrawal limits, actual withdrawals, and USGS stream gage

data Analyzing these detailed spatial and temporal data reveals

that SRBC policies to regulate withdrawals by natural gas

companies have been more binding than what has been

suggested by previous literature.

15

RFF project focuses on environmental risks

from shale gas development Comparison of General Chemicals

in Produced Water and Fracking Fluid Waste

* Number at the bottom of the boxplot is the sample size

16

RFF project focuses on environmental risks

from shale gas development Comparison of Metals in

Produced Water and Fracking Fluid Waste

17

RFF project focuses on environmental risks

from shale gas development Comparison of Organics

in Produced Water and Fracking Fluid Waste

18

RFF project focuses on environmental risks

from shale gas development

Comparison of Naturally Occurring Radioactive

Materials in Produced Water and Fracking Fluid

Waste

Social License and Engagement

Low Level of Engagement High

Education/PR ------------------------------------------------------------------------Joint Planning/ADR

Strategic Engagement ---------------------------------------------- Operational Engagement

Transactional ------------------------------- Transitional ----------------------- Transformational

Social License to Operate

Harder to Obtain Easier to Obtain

Conclusions

Economics: Benefit to the nation and state (during boom)

Externalities: There are no smoking guns and a lot of uncertainty

But perceptions affect housing markets strongly

Definitely some reasons for real concern

Best practice clearly not enough – need comprehensive

regulations and real (and costly) community engagement

Thank you

For further questions:

[email protected]

The regulatory levels for toxicity in RCRA (§261.24) are indicated with dashed lines.

If the concentration of a contaminant is greater than the regulatory level, the solid waste is a hazardous waste.

Sample size is indicated in parenthesis above the name of the contaminant.

RCRA Toxicity Determination –

TCLP Concentrations

Employment and Wages Estimates

Study Location Time

Period

Treatment for spatial unit Wages/Earnings Employment

Feyrer et al.

(2017)

US 2004-

2014

Counties with $1 million of oil and gas

production

$42,000- $80,000 0.85 jobs

$1 million of oil and gas production within 100

miles

$130,000- $257,000 2.13 jobs

Weber (2012) CO, TX,

WY

1999-

2007

Counties with $1 million of gas production $91,000‡ 2.35 jobs

Counties in the top 20% of production 2.6%‡ 1.5% annually

Allcott and

Keniston

(2014)

US 1969-

2014

Counties with one standard deviation greater oil

and gas endowments than other counties during

a boom that increases national oil and gas

employment by 100 log points

1.79% 2.82%

Bartik et al.

(2016)

US 1992-

2013

Top Quartile Fracking Potential Counties 4.4% - 6.9% ‡ 3.6% - 5.4%

DeLeire et al.

(2014)

PA 2000-

2010

New wells installed in PA counties Minimal effects‡ 2% for average

county, over 10% for

some

Jacobsen

(2015)

US 2001-

2014

Non-Metropolitan Areas with increase of $500

million or greater of oil and gas extraction

16.7% 13.6%

Komarek

(2016)

OH, WV,

PA

2001-

2013

Counties with at least 50 wells Temporary increase in

some sectors

~7% temporary

increase

Maniloff and

Mastromonaco

(2014)

US 2000-

2010

Top 25% of counties with increased shale well

count

10% 24%

Paredes et al.

(2015)

PA and

NY

2004-

2011

Counties with shale development Minimal effects‡ 0.16% to 0.4% for the

average county†

Wrenn et al.

(2015)

PA 2005-

2011

Shale development impact for local residents N/A 1.53%

Weinstein

(2014)

Lower 48

States

2001-

2011

Counties that experience ≥ 10% increase in oil

and gas employment and ≥ 20 additional oil and

gas workers during boom period

7.2% initially, returns

to original growth rate

in ~5 years‡

3.3% initially, returns

to original growth rate

in ~5 years

25

Shale Gas and Habitat

• Infrastructure development for shale gas extraction

(well pads, roads, gas and water pipelines) can cause

considerable environmental impacts including:

• Species loss through habitat loss and

fragmentation,

• Water quality from sedimentation

• Tradeoff between negative externalities (e.g. habitat

quality and fragmentation) and infrastructure

construction costs is an empirical question

• Constructing spatial optimization models to estimate

tradeoff curve using infrastructure data from

Washington County, PA

Wastewater characteristics from Marcellus shale gas development in PA

• Researchers: J. Shih, S. Olmstead (UT

Austin), J. Chu, L. Muehlenbachs (U.

Calgary), J. Saiers (Yale), S. Anisfeld

(Yale).

• Statistically analyzes characteristics of

flowback, produced water, and drilling

fluid waste sent to wastewater treatment

facilities in PA, 2008-2011.

• Data Source: Form 26R, submitted to

PADEP by “residual waste” generators.

• 432 different analytes were identified in

the data, in the following categories: 1. General chemicals

2. Organics

3. Pesticides

4. Metals

5. Radioactive Materials

Findings Key Definitions

Higher

quality

studies

The majority of the studies for this endpoint (greater than half) are of higher

quality. Where there is one study of higher quality, it is marked as such.

Medium

quality

studies

The majority of the studies for this endpoint (greater than half) are of medium

quality. Where there is one study of medium quality, it is marked as such.

Lower

quality

studies

The majority of the studies for this endpoint (greater than half) are of lower

quality. Where there is on study of lower quality, it is marked as such.

Not reviewed Research on this endpoint was not reviewed.

Increase ↑Studies show a positive, robust association with that endpoint (an increase in

incidence or magnitude).

Decrease ↓Studies show a negative, robust association with that endpoint (a decrease in

incidence or magnitude).

Heterogeneous↑↓ Across regions or areas, studies report robust results that differ

No association Ø Studies reported results that showed no association.

Inconsistent~

Across studies, differing (contradictory) results.

Risk-Benefit Matrix: Key

Schlumberger Stewardship Tool