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Lock-in situations in the global
    debates on climate change and
biotechnology: Evidence from a global
         stakeholder survey

               Philipp Aerni
    University of Bern and ETH Zurich

International Conference on Climate Change
         and Food Security (ICCCFS)
      November 6-8, Beijing, China 2011
Table of Contents

1. Biotechnology and the Environment
2. The purpose of the study
3. Online Survey with Stakeholders
4. Cluster and Policy Network Analysis
5. Concluding Remarks
1. Biotechnology and the Environment
 Remembering Agenda 21 and Article 19 in the
 Convention on Biological Diversity
   from Environmentally Sound Technology (EST)
   to ‘Toxic Waste’ - without any serious incident
Biotechnology will help transform a problematic
petro-chemical economy into a bio-economy
    No matter what is at stake (energy, biodiversity,
    climate change, food security), biotech will be
    crucial – but it is not considered ‘clean tech’
The issue is hardly touched upon in climate talks
     Can we afford this??
2. The purpose of the study
Biotechnology already makes great contributions to
mitigation and adaptation of climate change,
renewables and low-emission industrial products
    Why do the global debates not mix?
   Is it because framing shapes perception?
   Is it because of influential stakeholders
   want to keep the debates apart?
   How much does institutional and
   educational background matter?
  Global Stakeholder Survey on CC and Biotech
3. Online Survey with Stakeholders
• Questionnaire Design:
  1. Potential of Biotechnology
  2. Statements (Baseline Assumptions)
  3. Policy Network Table (Assessed Influence)
  4. General Information (Educational Background)
• Pre-Tests, Consultation of Key Informants

• Online Survey (1 July to 1 November 2010)

• 55 Stakeholders representing 44 institutions
     > 80% response rate
     > 73% with a PhD
Distribution of respondents in terms of
        institutional categories
Self-assessed familiarity with debates
4. Some Results



1. Descriptive Analysis (General Perception)

2. Perception Pattern Analysis (Clusters, Biplot)


3. Policy Network Analysis (Influence Analysis)
Descriptive Analysis:
Assessment of the Potential of Biotechnology
Assessment of the Impact of Different Tools
Statements related to baseline assumptions
Perception Pattern Analysis

Factor Analysis > Determination of Vector Variables based on
questionnaire items

Cluster Analysis (Ward Cluster Method)
& Canonical Discriminant Analysis > Perception Patterns

Biplot Analysis (Visualization technique of PCA)
> Identification of perception of each single respondent

Non-Parametric Tests
 Identification of link between educational/institutional
  background and perception
Cluster and Biplot Analysis
Cluster Analysis reveals two large clusters of equal
size, one cluster half the size and a fringe cluster (3 obs)




 Canonical Discriminant Analysis reveals that
 there is a significant relationship between the
 canonical variates and the clusters
Policy Network Analyis (Stakeholder
                assessment)



1. How well-known is the actor?


2. Influence on global public opinion


3. Influence on the biotechnology debate


4. Influence on the climate change debate
Greenpeace and WWF always among the top five
 Lock-In Situations (Costs of changing position are too high)
5. Tentative Conclusions

Global stakeholders believe in the potential of biotechnology

Shifting narratives (Baselines assumptions are changing)

Fringe perception of powerful actors ensure deadlock

Lock-In situations of the powerful actors explain why
shifting narratives do not
- translate into new public policy,
- change the education system and
- lead to a reframe of sustainable development

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Philipp Aerni — Lock in situations in the global debates on climate change and biotechnology evidence from a global stak~1

  • 1. Lock-in situations in the global debates on climate change and biotechnology: Evidence from a global stakeholder survey Philipp Aerni University of Bern and ETH Zurich International Conference on Climate Change and Food Security (ICCCFS) November 6-8, Beijing, China 2011
  • 2. Table of Contents 1. Biotechnology and the Environment 2. The purpose of the study 3. Online Survey with Stakeholders 4. Cluster and Policy Network Analysis 5. Concluding Remarks
  • 3. 1. Biotechnology and the Environment Remembering Agenda 21 and Article 19 in the Convention on Biological Diversity from Environmentally Sound Technology (EST) to ‘Toxic Waste’ - without any serious incident Biotechnology will help transform a problematic petro-chemical economy into a bio-economy No matter what is at stake (energy, biodiversity, climate change, food security), biotech will be crucial – but it is not considered ‘clean tech’ The issue is hardly touched upon in climate talks Can we afford this??
  • 4. 2. The purpose of the study Biotechnology already makes great contributions to mitigation and adaptation of climate change, renewables and low-emission industrial products Why do the global debates not mix? Is it because framing shapes perception? Is it because of influential stakeholders want to keep the debates apart? How much does institutional and educational background matter? Global Stakeholder Survey on CC and Biotech
  • 5. 3. Online Survey with Stakeholders • Questionnaire Design: 1. Potential of Biotechnology 2. Statements (Baseline Assumptions) 3. Policy Network Table (Assessed Influence) 4. General Information (Educational Background) • Pre-Tests, Consultation of Key Informants • Online Survey (1 July to 1 November 2010) • 55 Stakeholders representing 44 institutions > 80% response rate > 73% with a PhD
  • 6. Distribution of respondents in terms of institutional categories
  • 8. 4. Some Results 1. Descriptive Analysis (General Perception) 2. Perception Pattern Analysis (Clusters, Biplot) 3. Policy Network Analysis (Influence Analysis)
  • 9. Descriptive Analysis: Assessment of the Potential of Biotechnology
  • 10. Assessment of the Impact of Different Tools
  • 11. Statements related to baseline assumptions
  • 12. Perception Pattern Analysis Factor Analysis > Determination of Vector Variables based on questionnaire items Cluster Analysis (Ward Cluster Method) & Canonical Discriminant Analysis > Perception Patterns Biplot Analysis (Visualization technique of PCA) > Identification of perception of each single respondent Non-Parametric Tests Identification of link between educational/institutional background and perception
  • 13. Cluster and Biplot Analysis Cluster Analysis reveals two large clusters of equal size, one cluster half the size and a fringe cluster (3 obs) Canonical Discriminant Analysis reveals that there is a significant relationship between the canonical variates and the clusters
  • 14.
  • 15.
  • 16.
  • 17. Policy Network Analyis (Stakeholder assessment) 1. How well-known is the actor? 2. Influence on global public opinion 3. Influence on the biotechnology debate 4. Influence on the climate change debate
  • 18. Greenpeace and WWF always among the top five Lock-In Situations (Costs of changing position are too high)
  • 19. 5. Tentative Conclusions Global stakeholders believe in the potential of biotechnology Shifting narratives (Baselines assumptions are changing) Fringe perception of powerful actors ensure deadlock Lock-In situations of the powerful actors explain why shifting narratives do not - translate into new public policy, - change the education system and - lead to a reframe of sustainable development