Comparing Climate Change Policy Networks

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Comparing Climate Change Policy Networks

Dr. Tuomas Yl채-Anttila Helsinki Research Group for Political Sociology, Dept. of Social Research, University of Helsinki http://compon.org



Points of departure

 The planet is heating up, and it’s dangerous  Climate science is as certain about this as it will get  Modern societies relatively rationalized and sciencedependent

 UNFCCC sets science-based global norms on what is to be done

 One would think that all societies are acting accordingly


Varying national policy responses

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201 1 -10 -0 9 -08 -07 -0 6 -05 -04 -0 3 -02 -0 1 -0 0 -99 -9 8 -97 -96 -9 5 -94 -93 -9 2 -91 1 99 0

Sweden


Varying national policy responses

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201 1 -10 -0 9 -08 -07 -0 6 -05 -04 -0 3 -02 -0 1 -0 0 -99 -9 8 -97 -96 -9 5 -94 -93 -9 2 -91 1 99 0

Sweden Finland


Varying national policy responses

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201 1 -10 -0 9 -08 -07 -0 6 -05 -04 -0 3 -02 -0 1 -0 0 -99 -9 8 -97 -96 -9 5 -94 -93 -9 2 -91 1 99 0

Canada Sweden Finland


Varying national policy responses

16

14

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201 1 -10 -0 9 -08 -07 -0 6 -05 -04 -0 3 -02 -0 1 -0 0 -99 -9 8 -97 -96 -9 5 -94 -93 -9 2 -91 1 99 0

Canada Sweden Finland



Natural science problem becomes a social science problem: Why do some societies pollute more? What are the ways to reduce emissions, in each case?


GHG reduction happens at many levels  Global  National  Organizational (firm, city…)  Individual


GHG reduction happens at many levels  Global

 National – why?  Organizational (firm, city…)  Individual


GHG reduction happens at many levels  Global

 National 

nation-states have most power to control emissions through legislation

 nation-states

are the ones who negotiate

globally  Organizational (firm, city…)  Individual


It’s politics, in networks  Relatively similar countries have very different outcomes  It’s about how the entire economy and society is organized  And this is a result of political decisions  But one election does not change everything  Policymaking happens in policy networks  Government agencies, businesses, labor, NGOs, IGOs, INGOs


1. Inter-organizational networks

Climate science, global institutions and norms

National policies and outcomes


2. Discourse networks in the media

Climate science, global institutions and norms

National policies and outcomes


4

Case variation in Emissions 3.5

KYOTO PROTOCOL COMMITTMENT PERIOD 3 FINISHED

2.5

2

1.5

1

0.5

KYOTO PROTOCOL RATIFIED KYOTO PROTOCOL

UNFCCC


Two data sources ď Ž Inter-organizational collaboration networks: survey of 100 most influential organization in the climate change policy domain in 12 countries

ď Ž Discourse networks: 9000 articles in 3 major newspapers in 19 countries


Compon publications webpage screenshot


…random country, of the 12…


……………


……………


……………


Finland



Country brand working group 2014  “Clean”  “Pristine”  “Organic”  “Every Finn has a special relationship to nature”


Highest emissions of Nordic countries

14 13 12 11 10

9

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7

6

5

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201 1 -10 -0 9 -08 -07 -0 6 -05 -04 -0 3 -02 -0 1 -0 0 -99 -9 8 -97 -96 -9 5 -94 -93 -9 2 -91 1 99 0

Sweden Norway Iceland Denmark Finland


Germanwatch CC performance index


The Advocacy Coalition Framework

1.

Collaboration relationships between organizations

2.

Shared policy core beliefs


Two alternative explanations for why corporatism does not mix with environmentalism 1.

The cooptation of ENGOs hypothesis (Dryzek)  

2.

Collaboration: ENGOs well integrated into the network Beliefs: ENGOs very moderate, coopted

The treadmill of production hypothesis (Schnaiberg)  Collaboration:

Business and labor organizations with each other and the state  Beliefs: all three share anti-mitigation beliefs


Methods ď Ž Collaboration: UCInet factions algorithm for identifying coalitions (structural equivalence, louvain, similar results)

ď Ž Beliefs: Factor analysis -> summary scale on anti/pro GHG mitigation


Three coalitions 1.

Government and research (density .59)

2.

Treadmill coalition (.51)

3.

ENGO coalition (.54)

ď Ž.Overall network density .27


Who leads the coalitions?

Govenrment

Centr.

Treadmill

Centr.

ENGOs

Centr.

1.

Ministry of Environment

,75

Ministry of Economy and Employment

,77

WWF

,58

2.

Fortum

,60

Confederation of Industries

,75

Green Party

,57

3.

Ministry of Finance

,60

,68

League for Nature Conservation

,49

4.

Ministry of Agriculture

,55

Confederation of Energy Industries National Coalition Party

,64

Greenpeace

,44

5.

Sitra

,53

Metsäteollisuus ry

,55

Akava

,24

6.

Ministry of Transport and Communications

,52

Center Party

,54

Luonto-liitto

,21

7.

SYKE

,51

Teknologiateollisuus ry.

,47

KEPA

,20

8.

Valtioneuvoston kanslia

,48

Social Democrats

,46

Left Alliance

,18

9.

VTT

,47

UPM-Kymmene

,44

Friends of the Earth

,16

10.

Neste Oil

,46

Teollisuuden voima (TVO)

,43

Pirkanmaan ELY

,13

11.

Ilmatieteen laitos

,45

Union of Agricultural Producers

,39

Varsinais-Suomen ELY

,09

12.

Stora Enso

,44

Energiavirasto

,38

Suomen YK-liitto

,08

13.

Ilmastopaneeli

,42

Metsä Group

,36

Kirkon ulkomaanapu

,06

14.

Aalto yliopisto

,41

Trade Union

,36

Dodo

,05


Coalition properties (means,0-1)

Government

Treadmill

ENGO

Beliefs (1=antimitig)

.25

.35

.10

Influence

.35

.37

.19

Access to policymaking

.85

.50

.60

Financial resources

.83

.67

.51


Treadmill better connected to gov’t Government Size of node = avg. degree centrality Thickness of lines = densities between blocks

0,19 ENGO s

0,27

0,18 Treadmill


Conclusion on Finland  The treadmill coalition is the most influential, most resourceful, second largest, well linked to the state (internally and externally) and least ecological in its core beliefs

 The ENGO coalition is the least influential, least resourceful, smallest, least linked to the others and not particularly moderate in its core beliefs

 These results support the treadmill hypothesis but not the cooptation hypothesis


Finland vs. Sweden


Sweden: the same 3 coalitions

Treadmill, Gov’t & Research, ENGOs, but

Overall clustering coefficient much lower

Collaborating coalition lines much less clear

Belief differences between coalitions nonsignificant

Pro-mitigation actors more influential


Network structure predicts the outcome

In Finland, competing coalitions disagree over ecology vs economy, the economy coalition is stronger and better linked to the state

In Sweden, Nordic Consensus, no coalitions questioning strong CC policy

Why did the networks become like this?


Historical path dependencies of

Economic structures (export industry in FI, outsourcing emissions in SWE)

Political institutions (Min of Economy, Center Party in FI)

Culture, discourse, identity (Nordic consensus in SWE, Stockholm Environment Conference 1972 etc.)


Explaining the network structure Historical path dependencies

Climate science, global institutions and norms

1. Problem

 Economy  Political Institutions

National policies and outcomes

 Culture & discourse

2. Context

3. Network

4. Solution


Promises, promises…  US (discourse networks): Advocacy Coalitions,

Beliefs and Politics of Climate Change in the United States, talk on Friday

 India (quali interviews): Crowding In: How Indian

Civil Society Organizations Began Mobilizing on Climate Change. British Journal of Sociology, 2016


tuomas.yla-anttila@iki.fi politicalsociology.org compon.org


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