Technological Transfers in Global Climate Policy
Wolfgang Buchholz
Lisa Dippl
Michael Eichenseer
CESIFO WORKING PAPER NO. 5548
CATEGORY 10: ENERGY AND CLIMATE ECONOMICS
OCTOBER 2015
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T
ISSN 2364-1428
T
CESifo Working Paper No. 5548
Technological Transfers in Global Climate Policy
Abstract
Theoretical analysis and empirical evidence show that leadership behavior in climate policy
through increased abatement efforts or international transfers cannot be expected to be very
successful. In this paper we instead show that pioneering activities, which are based on green
technological innovations carried out by a coalition of countries, may be a better approach for
combatting global warming through unilateral action. In particular, we examine in an otherwise
standard model of private public good supply how the success of such a policy depends on the
intensity and scope of technological spillovers.
JEL-Code: H410, H870, O310, Q540, Q550.
Keywords: climate policy, green technological innovations, voluntary public good provision,
leadership.
Wolfgang Buchholz*
Department of Economics
University of Regensburg
Germany – 93040 Regensburg
[email protected]
Lisa Dippl
Faculty of Business, Economics and
Management Information Systems
University of Regensburg
Germany – 93040 Regensburg
[email protected]
Michael Eichenseer
Department of Economics
University of Regensburg
Germany – 93040 Regensburg
[email protected]
*corresponding author
This Version: September 30, 2015
We gratefully acknowledge financial support by the German Federal Ministry of Research
through the research project ECCUITY (FKZ 01LA1104B).
1.
Introduction
Progress
in
global
climate
policy
is
impeded
by
the
enormous
difficulties
to
ensure
in-‐
ternational
cooperation
and
coordination
on
greenhouse
gas
mitigation,
i.e.
to
conclude
an
international
climate
agreement
which
requires
ambitious
and
effectively
binding
obligations
and
which
is
stable
(see,
e.g.,
Sandler,
2004,
and
Finus,
2001,
for
a
detailed
theoretical
analysis
of
these
problems).
The
hope
therefore
is
that
–
following
a
“bottom
up
approach”
-‐
pioneering
activities
of
a
coalition
of
leading
countries
might
help
mod-‐
erate
global
warming
and
thus
increase
the
supply
of
this
presumably
most
important
public
good.
When
such
leading
activities
are
considered,
the
focus
normally
is
on
in-‐
creased
abatement
efforts
or
transfers
to
outsider
countries,
which
in
a
standard
model
of
public
good
provision
have
equivalent
effects
(see
e.g.
Cornes
and
Sandler,
2000,
for
an
analysis
of
this
equivalence).
But
such
unilateral
measures
are
only
of
limited
effec-‐
tiveness
as
the
countries
outside
the
coalition
can
be
expected
to
show
some
“crowding-‐
out”
behaviour,
i.e.
to
decrease
their
public
good
contributions
as
a
reaction
to
the
in-‐
creased
contributions
made
by
the
coalition.
In
Sinn’s
(2012)
figurative
terminology
these
outsider
countries
thus
are
“grabbing
from
the
collection
box”
which
reduces
the
positive
effect
on
public
good
supply
resulting
from
the
pioneering
activities
(see
e.g.
Buchholz,
Haslbeck
and
Sandler,
1998).
Even
worse,
it
is
even
possible
that
total
public
good
supply
falls
when
countries
unilaterally
raise
their
abatement
efforts
before
they
enter
climate
negotiations
(see
Hoel,
1991).
In
the
face
of
these
obstacles
for
successful
leadership
in
public
good
provision
(for
an
overview
see
Buchholz
and
Sandler,
2015)
this
paper
considers
another
type
of
pio-‐
neering
activities
which
is
not
based
on
an
increase
of
public
good
contributions.
Rather,
leading
behaviour
manifests
itself
in
investments
to
improve
“green”
technologies
(such
as
renewable
energies
or
energy
efficiency
measures)
which
help
reduce
abatement
costs
and
thus
make
the
production
of
the
global
public
good
less
costly.
It
is
well-‐known
(see
Buchholz
and
Konrad,
1994,
and
Ihori,
1996)
that
in
the
context
of
voluntary
public
good
provision
it
may
harm
a
country
if
it
unilaterally
reduces
its
cost
for
public
good
provision
even
in
the
extreme
case
where
the
innovation
is
completely
costless.
Then
environmentally
friendly
technological
progress
is
blocked
on
the
basis
of
strategic
rea-‐
sons.
In
this
paper
we
extend
this
analysis
on
the
strategic
choice
of
abatement
technol-‐
ogy
which
leads
us
to
a
more
optimistic
picture:
If
a
country
or
a
coalition
of
countries
is
–
as
some
kind
of
substitute
for
monetary
transfers
-‐
able
to
make
the
fruits
of
its
inno-‐
2
vation
available
to
other
countries
free
of
charge
this
will
not
only
be
beneficial
for
these
countries
but
also
for
the
pioneering
coalition
itself.
This
in
turn
makes
the
coalition
more
prepared
to
engage
in
green
R&D-‐activities.
The
analysis
will
be
carried
out
in
the
standard
framework
of
voluntary
public
good
provision
(as
exposed
by
Bergstrom,
Blume
and
Varian,
1986,
and
Cornes
and
Sandler,
1996).
But
unlike
these
traditional
contributions
to
the
theory
of
public
goods
we
will
make
use
of
the
more
recent
Aggregative
Game
Approach
(see
Cornes
and
Hartley,
2007).
Application
of
this
approach
considerably
facilitates
the
analysis
of
Nash
equilib-‐
ria
in
games
of
public
good
provision
which
are
quite
complex
in
the
scenario
consid-‐
ered
in
this
paper.
2.
The
Framework
Let
there
be
n
countries
i = 1,...,n
be
given
which
all
have
the
same
initial
endowment
w
and
the
same
utility
function
u(xi ,G)
where
xi
denotes
private
consumption
of
coun-‐
try
i
and
G
is
public
good
supply.
Especially
in
the
context
of
climate
change
G
can
be
interpreted
as
the
amount
of
greenhouse
gases
totally
avoided.
The
utility
function
is
assumed
to
have
the
standard
properties,
i.e.
it
is
twice
partially
differentiable
with
the
first
partial
derivatives
u1 (xi ,G) > 0
and
u2 (xi ,G) > 0
and
quasi-‐concave.
Moreover,
we
suppose
that
the
private
and
the
public
good
both
are
strictly
non-‐inferior.
The
crucial
element
for
our
analysis
is
that
the
countries
may
differ
in
their
produc-‐
tivities
for
generating
the
public
good
which
are
represented
by
the
country-‐specific
marginal
rates
of
transformation
mrti
between
the
private
and
the
public
good
ai :
This
productivities
indicate
how
many
units
of
the
public
good
country
i
can
produce
if
it
spends
one
unit
of
the
private
good
for
public
good
provision.
The
reciprocal
value
ci
=
1
then
indicates
how
many
units
of
the
public
good
country
i
has
to
give
up
in
order
ai
to
get
one
additional
unit
of
the
public
good.
In
the
case
of
environmental
public
goods
ci
thus
represents
the
marginal
abatement
costs
of
country
i .
Under
these
assumptions
a
feasible
allocation
(x1 ,..., xn ,G)
has
to
satisfy
the
aggre-‐
gate
budget
constraint
n
(1)
G = ∑ ai (w − xi )
i=1
3
or,
equivalently,
n
n
i=1
i=1
(2)
G + ∑ ai xi = ∑ ai w .
In
order
to
describe
the
Nash
equilibria
of
voluntary
public
good
provision
in
this
setting
by
means
of
the
Aggregative
Game
Approach
let
e(G, α i )
be
country
i ’s
(income)
expan-‐
sion
where
α i
denotes
the
marginal
rate
of
substitution
mrsi
between
the
private
and
the
public
good.
As
non-‐inferiority
of
both
goods
is
assumed
these
expansion
paths
are
well-‐defined
and
strictly
monotone
increasing
in
G .
Along
an
expansion
path
e(G, α i )
the
indifference
curves
of
a
country
all
have
the
same
slope
−α i .
As
an
additional
as-‐
sumption
regarding
preferences
we
assume
that
e(0, α i ) = 0
and
lim e(G, α i ) = ∞ .
G→∞
The
essential
point
for
the
characterization
of
Nash
equilibria
is
that
a
country
which
makes
a
strictly
positive
public
good
contribution
is
in
an
individual
equilibrium
position
only
if
its
mrsi
coincides
with
its
mrti ,
i.e.
α i = ai
holds.
Otherwise,
country
i
could
attain
a
higher
utility
level
either
by
slightly
increasing
(if
α i > ai )
or
by
slightly
decreasing
(if
α i < ai )
its
public
good
contribution.
This,
however,
means
that
in
an
in-‐
terior
Nash
equilibrium
( x̂1 ,..., x̂n , Ĝ)
with
positive
public
good
contributions
of
all
coun-‐
tries,
country
i ’s
position
( x̂i , Ĝ)
has
to
lie
on
the
expansion
path
e(G,ai )
such
that
x̂i = e(Ĝ,ai ) .
As
a
benchmark
we
consider
the
case
in
which
the
productivity
parameters
ai
are
fixed
and
no
country
undertakes
efforts
to
improve
public
good
productivity.
Then
no
R&D-‐costs
have
to
be
taken
into
account,
and
the
budget
constraint
(1)
for
an
interior
Nash
equilibrium
becomes
n
(3)
Ĝ = ∑ ai (w − e(Ĝ,ai ))
i=1
n
Given
our
assumptions
the
function
Φ(G) := ∑ ai (w − e(G,ai )) ,
whose
value
at
Ĝ
ap-‐
i=1
pears
on
the
right
hand
side
of
eq.
(3),
is
strictly
monotone
increasing
and
continuous
and,
given
our
assumptions
on
expansion
paths,
has
Φ(0) = 0
and
lim Φ(G) = ∞ .
Hence,
G→∞
4
by
the
intermediate
value
theorem
there
exists
exactly
one
level
of
public
good
supply
Ĝ ,
which
fulfils
condition
(3).
If
e(Ĝ,ai ) < wi
holds
for
each
country
i = 1,...,n ,
the
Nash
equilibrium
is
interior
with
public
good
supply
Ĝ
and
private
consumption
levels
x̂i = e(Ĝ,ai ) .
In
this
Nash
equilibrium
country
i = 1,...,n
spends
ẑi = wi − x̂i
on
the
public
good
thus
inducing
an
increase
of
public
good
supply
by
ĝi = ai ẑi .
3.
Technological
Interdependencies
We
start
from
a
situation
in
which
all
countries
have
the
same
productivity
parameter
a0 .
Public
good
supply
Ĝ(a0 )
in
the
Nash
equilibrium
-‐
which
is
clearly
interior
in
this
initial
state
of
full
symmetry
and
without
any
R&D-‐costs
-‐
then
is
given
by
(4)
Ĝ(a0 ) = na0 (w − e(Ĝ(a0 ),a0 ))
Now
the
possibility
arises
that
a
subgroup
of
countries
undertakes
some
R&D-‐efforts
aimed
at
improving
“green”
technologies
(such
as
better
insulation
of
houses,
renewable
energies,
smart
grids
and
new
methods
for
power
storage)
through
which
the
reduction
of
carbon
emissions
becomes
cheaper
or,
in
other
words,
the
productivity
of
the
global
public
good
climate
protection
is
increased.
Through
intended
or
unintended
technolog-‐
ical
spillovers
other
countries
may
also
benefit
from
these
productivity
enhancing
ef-‐
fects
even
if
they
do
not
incur
any
of
the
costs
associated
with
developing
these
ecologi-‐
cally
friendly
technologies.
For
a
precise
description
of
this
scenario
we
divide
the
whole
group
of
n
countries
into
three
subgroups
K,
L
and
M
whose
members
are
playing
a
two-‐stage
game.
Subgroup
K
consisting
of
k
countries
The
members
of
subgroup
k
are
forming
a
technological
coalition
which
is
willing
to
play
a
pioneering
role
in
climate
policy
by
collectively
promoting
green
innovations.
In
the
framework
of
our
model
this
means
that
at
the
first
stage
of
the
game
coalition
K
is
able
to
choose
an
improved
production
technology
for
the
public
good
which
exhibits
a
higher
public
good
productivity
a
than
the
original
technology.
Choosing
some
a > a0 ,
however,
is
not
costless
but
results
in
R&D-‐costs
of
ck (a)
for
each
country
in
coalition
K.
This
cost
function
is
assumed
to
be
differentiable
in
a
and
has
ck (a0 ) = 0 .
If,
as
in
the
5
case
of
basic
research,
R&D-‐costs
can
be
divided
among
the
members
of
the
coalition
ck (a)
will
–
for
any
a > 0
-‐
fall
when
k
increases.
However,
if
technological
progress
is
based
on
learning-‐by-‐doing
activities,
which
have
to
be
carried
out
in
each
country
of
the
coalition
at
an
equal
scale,
then
ck (a)
will
not
be
affected
by
the
size
of
the
coalition.
While
the
coalition
cooperates
at
the
innovation
stage,
the
coalition
members
still
act
independently
in
the
second
stage
of
the
game
at
which
the
coalition
members
de-‐
cide
on
their
contributions
to
the
public
good.
This
assumption
reflects
the
notion
that
in
climate
policy
cooperation
on
abatement
levels
is
harder
to
achieve
than
technological
cooperation.
Subgroup
L
consisting
of
l
countries
The
members
of
subgroup
L
do
not
have
a
share
in
the
spillover:
They
stick
to
the
origi-‐
nal
technology
with
the
productivity
parameter
a0
irrespective
of
the
technological
choice
made
by
coalition
K.
This
inability
to
make
use
of
the
better
environmental
tech-‐
nologies
may
arise
from
specific
physical
or
meteorological
conditions.
E.g.
countries
in
the
tropical
zones
obviously
do
not
benefit
from
improved
efficiency
in
the
heating
of
buildings,
and
countries
like
Canada
with
fewer
sunshine
hours
than
Florida
cannot
gain
much
from
the
development
of
solar
technology.
But
it
is
also
possible
that
in
developing
countries
the
capacities
for
adopting
the
improved
technologies
are
lacking.
In
contrast
to
the
physical
limitations
these
obstacles
can
be
removed,
e.g.
through
education
and
the
formation
of
human
capital.
Subgroup
M
consisting
of
m
countries
For
subgroup
M
there
is
a
technological
spillover
from
the
technological
innovations
provided
by
coalition
K
so
that
they
become
more
productive
in
generating
the
public
good
-‐
but
possibly
to
a
different
degree
as
the
coalition
members.
The
differentiable
function
b(a)
describes
which
productivity
parameter
results
in
each
country
in
M
when
the
productivity
parameter
chosen
in
coalition
K
is
a .
This
function
measuring
the
in-‐
tensity
of
the
spillover
effect
is
monotone
increasing
in
a
with
b(a0 ) = a0 .
The
normal
case
will
be
b′(a) ≤ 1 ,
which
means
that
the
countries
in
M
benefit
not
more
from
the
innovation
than
the
countries
in
K.
Nevertheless,
situations
are
conceivable
in
which
b′(a) > 1
holds
so
that
the
productivity
increase
for
subgroup
M
is
even
larger
than
in
K.
6
An
example
for
this
might
be
solar
energy
when
in
the
countries
of
subgroup
M
solar
radiation
is
stronger
than
in
the
countries
of
subgroup
K.
Like
the
countries
in
coalition
K
also
the
countries
in
the
outsider
subgroups
L
and
M
determine
their
public
good
contributions
non-‐cooperatively
at
the
second
stage
of
the
game.
Applying
the
Aggregative
Game
Approach,
it
now
is
straightforward
to
describe
the
interior
Nash
equilibrium
which
results
when
coalition
K
has
chosen
some
productivity
parameter
a ≥ a0
as
we
know
that
in
the
Nash
equilibrium
•
the
position
of
all
countries
in
K
is
on
the
expansion
path
e(G,a) .
•
the
position
of
all
countries
in
L
is
on
the
expansion
path
e(G,a0 ) .
•
the
position
of
all
countries
in
M
is
on
the
expansion
path
e(G,b(a)) .
Based
on
condition
(3)
public
good
supply
Ĝ(a)
in
the
Nash
equilibrium
if
coalition
K
has
chosen
the
productivity
parameter
a
is
characterized
by
the
following
equation:
(5)
Ĝ(a) = ka(w − e(Ĝ(a),a) − ck (a)) + la0 (w − e(Ĝ(a),a0 )) + mb(a)(w − e(Ĝ(a),b(a)) )
.
Private
consumption
of
the
countries
in
subgroups
K,
L
and
M
thus
is
x̂K (a) = e(Ĝ(a),a) ,
x̂ L (a) = e(Ĝ(a),a0 )
and
x̂ M (a) = e(Ĝ(a),b(a)) ,
respectively.
Note
that
in
eq.
(5)
it
is
taken
into
consideration
that
the
members
of
group
K
do
not
spend
the
whole
residual
be-‐
tween
income
and
private
consumption
for
public
good
provision
because
they
have
to
spend
ck (a) > 0
for
R&D-‐efforts
when
choosing
some
a > a0 .
Since
the
initial
Nash
equilibrium
is
interior
it
follows
from
a
standard
continuity
ar-‐
gument
that
the
Nash
equilibrium
will
stay
interior
when
the
productivity
parameter
a
chosen
by
coalition
K
is
sufficiently
close
to
a0 .
The
analysis
to
follow
only
considers
these
cases.
4.
The
Change
in
Public
Good
Supply
through
Technological
Progress
Let
the
partial
derivative
of
any
expansion
path
e(G, α )
w.r.t.
public
good
supply
G
be
denoted
by
e1 (G, α )
which
describes
how
private
consumption
changes
if
one
is
moving
7
along
an
expansion
path.
Analogously,
e2 (G, α )
is
the
partial
derivative
of
the
expansion
path
w.r.t.
to
the
marginal
rate
of
substitution
α .
This
derivative
indicates
the
change
of
private
consumption
which
results
when
–
for
a
given
level
of
public
good
supply
–
the
move
is
to
another
expansion
path
corresponding
to
a
higher
marginal
rate
of
substitu-‐
tion.
From
the
non-‐inferiority
assumption
on
preferences
we
have
e1 (G, α ) > 0
and
e2 (G, α ) < 0 .
∂Ĝ
To
calculate
the
effect
on
public
good
supply
Gˆ ′(a) =
which
is
driven
by
a
mar-‐
∂a
ginal
change
of
its
productivity
parameter
by
coalition
K
we
first
consider
the
total
dif-‐
ferential
of
eq.
(5)
at
some
arbitrary
a
for
which
interiority
holds
which
yields
(6)
Gˆ ′(a) =
− k(w − e(Ĝ(a),a) − ck (a)) − ka(e1 (Ĝ(a),a)Gˆ ′(a) + e2 (Ĝ(a),a) − ck′ (a))
− lae1 (Ĝ(a),a)Gˆ ′(a)
+
mb′(a)(w − e(Ĝ(a),b(a))) − mb(a)(e1 (Ĝ(a),b(a))Gˆ ′(a) + e2 (Ĝ(a),b(a))b′(a)) .
We
now
apply
eq.
(6)
to
infer
the
effects
on
public
good
supply
which
result
from
a
mar-‐
ginal
change
of
a
starting
from
a0 = b(a0 ) .
Without
loss
of
generality
we
can
assume
a0 = 1 and,
to
simplify
notation,
we
use
abbreviations
as
follows:
Gˆ ′ = Gˆ ′(1) ,
ẑ = w − e(Ĝ(1),1) ,
κ k = ck′ (1) ,
β = b′(1) ,
γ 1 = e1 (Ĝ(1),1)
and
γ 2 = e2 (Ĝ(1),1) .
Since
ck (1) = 0
by
assumption
condition
(6)
then
turns
into
(7)
Gˆ ′ = k( ẑ − γ 1Gˆ ′ − γ 2 − κ k ) −lγ 1Gˆ ′ +m(β ẑ − γ 1Gˆ ′ − γ 2 β ) .
Solving
(7)
for
Gˆ ′
and
observing
k + l + m = n
gives
the
following
result.
Proposition
1:
If
coalition
K
marginally
increases
its
productivity
parameter
a
starting
from
the
symmetric
Nash
equilibrium
with
a0 = 1
then
public
good
supply
changes
by
(k + mβ )( ẑ − γ 2 ) − kκ k
(8)
Gˆ ′ =
.
1+ nγ 1
8
Public
good
supply
hence
increases
if
and
only
if
(9)
kκ k < (k + mβ )( ẑ − γ 2 )
Since
γ 1 > 0
and
γ 2 < 0
condition
(9)
directly
shows
that
–
for
a
given
partition
into
the
three
subgroups
–
an
increase
in
public
good
supply
results
if
the
aggregate
marginal
costs
for
the
technological
improvement
kκ k
are
not
too
high.
A
high
spillover
parame-‐
ter
β
and
a
high
public
good
contribution
ẑ
in
the
original
Nash
equilibrium
are
also
favourable
for
an
increase
of
public
good
supply
as
both
help
to
make
the
increase
of
public
good
productivity
more
effective.
If,
however,
the
R&D-‐costs
are
sufficiently
high,
so
that
kκ k > (k + mβ )( ẑ − γ 2 )
holds,
public
good
supply
is
reduced
by
the
innovation.
The
reason
for
this
adverse
effect
is
that
due
to
the
costly
R&D-‐efforts
coalition
K’s
resources
available
for
public
good
provi-‐
sion
are
reduced
while
at
the
same
time
the
spillover
effect
is
too
weak,
either
because
only
few
countries
are
positively
affected
or
the
intensity
of
the
spillover
is
small.
In
addition
we
can
infer
from
conditions
(8)
and
(9)
how
for
a
fixed
total
number
of
countries
n
the
size
of
the
different
subgroups
affects
the
change
of
public
good
supply.
In
this
context
we
first
note
that
ẑ ,
γ 1
and
γ 2
refer
to
the
original
fully
symmetric
Nash
equilibrium
and
thus
do
not
depend
on
k, l
and
m
as
long
as
the
total
number
of
coun-‐
tries
n = k + l + m
is
fixed.
Proposition
2:
Assume
that
Gˆ ′
is
positive.
Then
Gˆ ′
is
the
larger
•
the
larger
the
coalition
K
is
when
aggregate
marginal
costs
kκ k
of
the
technolog-‐
ical
improvement
are
not
rising
in
k .
•
the
larger
the
group
M
is.
•
the
smaller
γ 1
and
the
larger
−γ 2
are.
In
a
Nash
equilibrium
public
good
supply
normally
is
too
low
as
compared
to
Pareto
op-‐
timal
levels
(see
Buchholz
and
Peters,
2001,
for
a
treatment
especially
of
exceptions).
Against
this
background
Proposition
2
says
that
this
“underprovision”
is
mitigated
both
through
a
spatial
expansion
of
the
technological
spillover,
i.e.
an
increase
of
m ,
and
an
9
increase
of
its
intensity
β .
The
same
positive
effect
on
public
good
supply
occurs
if
the
coalition
K
is
enlarged
given
that
β ≤ 1
and
kκ k
is
decreasing
in
k .
For
a
further
interpretation
of
Proposition
2
note
that
a
small
γ 1
means
that
in
a
xi -‐
G -‐diagram
the
income
expansion
path
e(G,1)
is
relatively
steep.
Then
along
this
expan-‐
sion
path
an
increase
of
public
good
supply
is
accompanied
by
a
small
increase
in
pri-‐
vate
consumption
which
is
favourable
for
an
increase
of
public
good
supply
when
a
is
increased.
The
same
holds
true
for
a
large
value
of
−γ 2
which
represents
a
strong
shift
of
the
expansion
path
to
the
left
and
thus
a
large
increase
of
the
willingness
to
pay
for
the
public
good.
As
a
next
step
we
examine
the
incentives
the
coalition
K
has
for
making
a
green
in-‐
novation
through
which
its
public
good
productivity
is
increased.
5.
The
Incentives
for
Coalition
K
to
Make
the
Technological
Improvement
Given
some
productivity
parameter
a
utility
of
a
member
of
coalition
K
is
ûK =
u(e(Ĝ(a),a), Ĝ(a))
in
the
Nash
equilibrium
as
e(Ĝ(a),a) = x̂K (a)
is
its
private
consump-‐
tion.
A
marginal
variation
of
a
changes
this
utility
by
(10)
uˆ K′ (a) =
u1 ( x̂K (a), Ĝ(a))(e1 (Ĝ(a),a)Gˆ ′(a) + e2 (Ĝ(a))) +u2 ( x̂K (a), Ĝ(a))Gˆ ′(a) .
Without
loss
of
generality
we
can
assume
that
at
the
original
Nash
equilibrium
for
a0 = 1
we
have
û1 ( x̂K (1), Ĝ(1)) = û2 ( x̂K (1), Ĝ(1)) = 1 .
With
the
abbreviations
as
introduced
before
and
additionally
letting
uˆ K′ = uˆ K′ (1)
eq.
(10)
then
is
reduced
to
(11)
uˆ K′ = (1+ γ 1 )Gˆ ′ + γ 2 .
Based
on
eq.
(11)
a
precise
condition
for
an
increase
of
utility
for
countries
in
the
coali-‐
tion
K
is
provided
by
the
next
result.
In
its
first
part
this
Proposition
is
a
direct
conse-‐
quence
of
eq.
(11)
and
in
its
second
part
it
follows
from
plugging
Gˆ ′
as
given
by
eq.
(8)
into
eq.
(11).
10
Proposition
3:
Starting
from
the
Nash
equilibrium
with
a0 = 1
the
members
of
coalition
K
benefit
from
an
increase
of
their
public
good
productivity
if
and
only
if
−γ 2
> 0
(12)
Gˆ ′ >
1+ γ 1
holds
or,
equivalently,
if
and
only
if
(13)
kκ k <
(k + mβ )( ẑ − γ 2 ) + γ 2
1+ nγ 1
.
1+ γ 1
As
γ 1 > 0
and
γ 2 < 0
it
follows
from
condition
(12)
that
a
higher
public
good
supply
is
a
necessary
but
not
a
sufficient
condition
for
an
increase
of
a
coalition
member’s
utility:
The
coalition
members
only
benefit
from
their
R&D-‐efforts
when
the
increase
in
public
good
supply
is
strong
enough.
The
factors
which
determine
the
right
hand
side
of
inequality
(13)
are
similar
to
those
characterizing
the
change
of
public
good
supply:
An
enlargement
both
of
the
coalition
K
and
of
the
group
M
are
favourable
for
an
increase
of
utility
for
the
members
of
K.
Con-‐
cerning
the
incentives
for
innovation
in
K
this
in
particular
shows
how
important
it
is
to
ensure
a
broad
dissemination
of
the
improved
technologies.
Giving
patents
for
green
technological
innovations
to
other
countries
away
free
of
charge
thus
may
be
a
clever
strategic
move
for
coalition
K.
Concerning
the
second
term
we
note
that
1+ nγ 1
is
increasing
in
γ 1 .
Hence,
a
utility
1+ γ 1
increase
for
countries
in
coalition
K
is
more
likely
if
γ 1
is
small.
The
effect
of
γ 2 ,
howev-‐
er,
is
ambiguous.
6.
Utility
Effects
for
the
Outsiders
We
now
examine
how
utility
of
the
countries
in
the
groups
L
and
M
is
changed
by
the
innovative
activities
of
coalition
K.
Differentiating
utility
û L (a) = u( x̂ L (a), Ĝ(a)) = u(e(Ĝ(a),a0 ), Ĝ(a))
of
a
country
in
L
and
utility
û M (a) = u( x̂ M (a), Ĝ(a)) = u(e(Ĝ(a),b(a)), Ĝ(a))
of
a
country
in
group
M
w.r.t.
the
productivity
parameter
a
yields
11
(14)
u ′L (a) =
u1 ( x̂ L (a), Ĝ(a))e1 (Ĝ(a),a0 )Gˆ ′(a) + u2 ( x̂ L (a), Ĝ(a))Gˆ ′(a) .
(15)
u ′M (a) = u1 ( x̂ M (a), Ĝ(a))(e1 (Ĝ(a),b(a))Gˆ ′(a) + e2 (Ĝ(a),b(a))b′(a))
+
u2 ( x̂ M (a), Ĝ(a))Gˆ ′(a)
Assuming
again
a0 = 1 and
u1 ( x̂(1), Ĝ(1)) = u2 ( x̂(1), Ĝ(1)) = 1
and
abbreviating
uˆ ′L = uˆ ′L (1)
and
uˆ ′M = uˆ ′M (1)
a
marginal
change
of
productivity
at
the
initial
Nash
equilibrium
thus
results
in
utility
changes
as
follows:
(16)
uˆ ′L = (1+ γ 1 )Gˆ ′
(17)
uˆ ′M = (1+ γ 1 )Gˆ ′ + βγ 2 .
Comparing
the
utility
changes
for
the
three
groups
K,
L
and
M
as
described
by
eqs.
(11),
(16)
and
(17)
leads
to
the
following
result:
Proposition
4:
If
coalition
K
marginally
increases
its
public
good
productivity
starting
from
the
Nash
equilibrium
with
a0 = 1
the
countries
in
K
benefit
least
while
countries
in
the
group
L
benefit
most,
i.e.
uˆ K′ ≤ uˆ ′M < uˆ ′L .
The
interpretation
of
Proposition
4
is
as
follows:
Through
the
change
of
public
good
productivity
in
coalition
K
utility
of
countries
in
each
subgroup
is
equally
affected
by
(1+ γ 1 )Gˆ ′ ,
which
is
positive
if
public
good
supply
increases.
For
countries
in
K
there
is,
however,
a
negative
partial
effect
on
utility
which
is
expressed
by
γ 2 < 0
and
which
re-‐
flects
the
increased
willingness
to
pay
for
the
public
good
when
productivity
improves.
The
same
effect
hits
the
group
M
but
to
a
lesser
degree
if
the
spillover
is
incomplete,
i.e.
β < 1 .
If,
however,
β = 1
the
utility
change
is
the
same
for
group
K
and
group
M
even
though
only
the
members
of
the
coalition
K
initially
bear
the
cost
of
the
green
innova-‐
tion.
This
means
that,
due
to
equilibrium
repercussions,
R&D-‐costs
can
be
shifted
to
oth-‐
er
countries.
This
indirect
redistribution
effect
is,
in
a
certain
sense,
similar
to
the
fa-‐
mous
Warr
neutrality
in
voluntary
public
good
provision
(see
Warr,
1982,
and
e.g.
12
Cornes
and
Sandler,
1996)
which
in
particular
implies
that
in
an
interior
Nash
equilibri-‐
um
an
increase
of
income
in
some
country
will
increase
utility
not
only
in
that
specific
country
but
in
all
countries.
The
negative
effect,
which
arises
from
the
change
of
the
willingness
to
pay
for
the
public
good
implied
by
the
technological
improvement,
is
completely
absent
for
coun-‐
tries
in
group
L
whose
technology
is
unaffected
by
the
innovation.
Therefore,
the
mem-‐
bers
of
this
group
benefit
most.
This,
however,
creates
an
incentive
problem
because
countries
in
group
K
attain
a
higher
utility
level
if
they
do
not
adopt
the
better
technolo-‐
gy
for
public
good
provision.
This
strategic
effect,
however,
is
avoided
if
the
technologi-‐
cal
spillover
occurs
automatically
which,
e.g.,
is
the
case
if
firms
in
coalition
K
are
the
dominant
producers
of
energy
technology
and
thus
can
set
environmentally
friendly
standards
worldwide
(see,
e.g.,
Barrett,
2003).
For
the
countries
in
group
M
also
co-‐
benefits
from
climate
friendly
may
arise
which,
on
the
one
hand,
may
be
caused
by
im-‐
proved
possibilities
to
abate
locally
damaging
pollutants
as,
e.g.
particulate
matter
from
power
plants
(see,
e.g.,
Finus
and
Rübbelke,
2013)
and,
on
the
other
hand,
by
the
pro-‐
spect
of
initiating
a
sustainable
growth
process
implied
by
the
transition
to
a
low-‐carbon
economy
(see
Stern,
2015).
In
this
way
the
adoption
of
green
technologies
is
promoted.
In
the
sense
of
“issue
linkage”
the
coalition
may
also
introduce
separate
incentive
mech-‐
anisms
(as,
e.g.,
additional
financial
aid)
to
ensure
broad
dissemination
of
its
green
in-‐
novation.
Moreover,
the
countries
outside
the
coalition
K
may
notice
that
their
unwillingness
to
apply
the
new
technology
can
undermine
the
willingness
of
coalition
K
to
make
the
R&D-‐efforts.
To
prevent
this
undesirable
outcome
the
outsiders
also
may
form
a
sepa-‐
rate
coalition
in
which
they
commit
themselves
to
adopt
the
improved
technology.
7.
An
Example
We
now
specifically
assume
that
w = 1
and
that
all
countries
have
the
Cobb-‐Douglas
util-‐
ity
function
u(xi ,G) = xiρ G .
For
some
marginal
rate
of
substitution
α
the
expansion
path
is
given
by
e(G, α ) =
ρ
ρ
ρ
G
which
gives
e1 (G, α ) =
and
e2 (G, α ) = − 2 G .
According
to
α
α
α
eq.
(4)
the
symmetric
Nash
equilibrium
at
a0 = 1 is
given
by
the
public
good
supply
level
13
Ĝ(1) =
n
nρ
,
the
private
good
consumption
levels
x̂(1) =
and
country-‐specific
nρ + 1
nρ + 1
public
good
contributions
ẑ(1) =
1
nρ
.
Since
γ 1 = ρ
and
γ 2 = −
we
get
nρ + 1
nρ + 1
k + mβ − kκ k
(18)
Gˆ ′ =
nρ + 1
(19)
uˆ K′ =
( ρ + 1)(k + mβ − kκ k ) − n ρ
nρ + 1
(20)
uˆ ′L =
( ρ + 1)(k + mβ − kκ k )
nρ + 1
(21)
uˆ ′M =
( ρ + 1)(k + mβ − kκ k ) − n ρβ
nρ + 1
We
now
especially
look
at
eq.
(19)
and
consider
the
extreme
case
when
there
is
only
a
single
pioneering
country,
i.e.
k = 1 .
The
innovation
is
profitable
for
this
country
if
its
R&D-‐costs
are
below
a
certain
threshold
level,
i.e.
(22)
κ 1 < 1+ mβ −
nρ
.
ρ +1
Now
let
either
m = 0
or
β = 0
so
that
there
are
no
technological
spillovers.
Then,
even
if
the
innovation
is
completely
costless,
the
potentially
pioneering
country
has
no
incen-‐
tive
to
increase
its
public
good
productivity
if
1−
nρ
ρ +1
< 0
or,
equivalently,
n >
,
ρ +1
ρ
which
is
always
the
case
if
the
total
number
of
countries
is
sufficiently
large.
A
single
country
then
would
even
have
an
incentive
to
choose
a
technology
with
higher
abate-‐
ment
costs,
which
is
the
paradoxical
effect
described
by
Buchholz
and
Konrad
(1994).
But
if
in
contrast
there
is
a
technological
spillover
the
innovation
will
be
profitable
for
the
country
if
the
technological
spillover
extends
to
sufficiently
many
countries,
i.e.
if
14
(23)
m>
(n − 1) ρ − 1
( ρ + 1)β
Some
values
for
m
which
satisfy
condition
(23)
exist
if
the
right
hand
side
of
this
ine-‐
quality
is
smaller
than
n − 1 ,
i.e.
if
the
spillover
is
sufficiently
strong
so
that
(24)
β > β :=
1
nρ
(
− 1)
n −1 ρ +1
holds.
In
the
case
of
a
perfect
spillover
condition
(24)
is
always
fulfilled.
The
example
thus
clearly
illustrates
how
a
single
country’s
incentive
to
innovate
depends
on
the
number
of
followers
and
the
strength
of
the
spillover
effect.
For
a
further
specification
consider
the
case
where
n = 10
and
ρ = 1 .
Then
without
a
spillover
a
costless
marginal
increase
of
public
good
productivity
does
not
pay
for
a
single
country.
But
if
there
is
a
spillover
with
β = 1 ,
which
benefits
at
least
five
other
countries,
condition
(24)
implies
that
the
innovation
becomes
worthwhile
for
the
country
which
undertakes
it.
Moreover,
the
lower
threshold
for
the
productivity
parameter
which
is
obtained
from
condition
(24)
is
β =
4
.
9
8.
Conclusion
In
this
paper
we
have
shown
how
the
provision
of
a
global
public
good
such
as
climate
protection
may
be
improved
through
unilateral
action
of
a
group
of
countries
which
col-‐
lectively
carry
out
a
green
technological
innovation
lowering
the
costs
of
providing
the
global
public
good,
i.e.
in
the
case
of
climate
change
the
costs
of
greenhouse
gas
abate-‐
ment.
The
success
of
such
a
specific
form
of
leading
behaviour
not
only
is
more
likely
if
the
cooperating
coalition
is
large
but
also
if
there
is
a
steep
rise
of
public
good
produc-‐
tivity
in
as
many
other
countries
as
possible,
i.e.
if
the
technological
spillover
effect
is
strong
both
at
the
intensive
and
at
the
extensive
margin.
A
basic
message
of
this
paper
is
that
it
is
not
only
favourable
for
the
climate
but
also
for
the
coalition
if
these
follower
countries
get
free
access
to
the
improved
technology
and
thus
receive
some
indirect
transfer
from
the
coalition.
However,
these
recipient
countries
benefit
less
from
the
in-‐
novation
than
the
complete
outsiders
that
stick
to
the
old
high-‐cost
technology.
This
15
creates
an
incentive
problem
for
technology
adoption
so
that
it
may
become
necessary
to
complement
the
unilateral
R&D-‐policy
by
additional
mechanisms
to
ensure
a
far-‐
reaching
diffusion
of
newly
developed
green
technologies.
A
discussion
of
appropriate
strategies
lies
outside
the
scope
of
this
theoretical
work
but
should
deserve
a
separate
more
empirically
oriented
treatment.
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