Analyse comparative des facteurs influençant l’adoption des énergies renouvelables en Europe et en Amérique du Nord
Table Of Contents
Chapter ONE
INTRODUCTION
- 1.1Introduction
- 1.2Background of the Study
- 1.3Statement of the Problem
- 1.4Aim and Objectives of the Study
- 1.5Research Questions
- 1.6Research Hypotheses
- 1.7Significance of the Study
- 1.8Scope and Delimitation of the Study
- 1.9Limitations of the Study
- 1.10Organisation of the Study
- 1.11Operational Definition of Terms
Chapter TWO
LITERATURE REVIEW
- 2.1Conceptual Review: Renewable Energy Adoption Across Regions
- 2.2Conceptualization of Europe and North America as Comparative Arenas
- 2.3Theoretical Framework: Diffusion of Innovations in Energy Transitions
- 2.4Theoretical Framework: Institutional Theory and Policy Diffusion
- 2.5Empirical Review: Policy Instruments and Renewable Uptake in Europe
- 2.6Empirical Review: Policy Instruments and Renewable Uptake in North America
- 2.7Economic and Financial Drivers of Adoption: Financing, Subsidies, and Costs
- 2.8Social and Cultural Factors in Adoption: Public Acceptance and Stakeholder Roles
- 2.9Technological Readiness and Grid Integration in Europe
- 2.10Technological Readiness and Grid Integration in North America
- 2.11Regulatory Frameworks and Market Structures: Comparison Across Regions
- 2.12Gaps in the Literature and Methodological Limitations
- 2.13Conceptual Model or Synthesis of the Review
Chapter THREE
RESEARCH METHODOLOGY
- 3.1Research Design: Comparative Cross-Sectional Study
- 3.2Philosophical Paradigm: Pragmatism and Interpretivism in Mixed Methods
- 3.3Population of the Study: Regional Policy Actors, Utilities, and Consumers
- 3.4Sample Size and Sampling Technique: Stratified Random Sampling Across Regions
- 3.5Sources and Instruments of Data Collection: Policy Documents, Surveys, and Interviews
- 3.6Validity and Reliability of Instruments: Pilot Testing and Triangulation
- 3.7Data Collection Procedures: Timeline and Protocols
- 3.8Variable Operationalization and Measurement Scales
- 3.9Data Analysis Methods: Multilevel Regression and Thematic Analysis
- 3.10Model Specification: Cross-Regional Comparative Framework
- 3.11Ethical Considerations: Consent, Privacy, and Data Security
Chapter FOUR
DATA PRESENTATION AND ANALYSIS
- ANALYSIS AND DISCUSSION
- 4.1Data Presentation: Descriptive Statistics by Region
- 4.2Descriptive Analysis: Baseline Profiles of Respondents and Regions
- 4.3Hypotheses Testing: Regional Differences in Adoption Drivers
- 4.4Hypotheses Testing: Interaction Effects of Policies and Markets
- 4.5Interpretation of Quantitative Findings: Europe vs North America
- 4.6Thematic Analysis: Stakeholder Perspectives on Barriers and Enablers
- 4.7Synthesis with Theoretical Frameworks: Diffusion, Institutions, and Markets
- 4.8Discussion of Findings in Relation to Prior Studies
Chapter FIVE
SUMMARY, CONCLUSION AND RECOMMENDATIONS
- CONCLUSION AND RECOMMENDATIONS
- 5.1Summary of Findings
- 5.2Conclusion
- 5.3Contribution to Knowledge: Cross-Regional Insights and Policy Implications
- 5.4Practical Recommendations for Policy Makers and Utilities
- 5.5Recommendations for Future Research
Thesis Abstract
This study investigates the comparative determinants shaping the adoption of renewable energy technologies across Europe and North America, addressing persistent variations in policy efficacy, market dynamics, and socio-technical readiness that influence deployment speeds and scale. The problem stems from inconsistent integration of renewables despite shared climate commitments, suggesting that contextual factors—policy design, regulatory risk, financial incentives, public acceptance, and institutional capacity—modulate the transition differently across regions. The aim is to identify and compare the relative importance of these factors, and to assess how regional institutional contexts mediate their effects on adoption outcomes. Specific objectives include (i) to map the policy instruments, financial mechanisms, and regulatory environments in selected European countries (Germany, Spain, and Denmark) and North American jurisdictions (Germany’s comparative North American peers United States states California and New York; Canada’s Ontario and Quebec); (ii) to quantify the influence of policy certainty, capital costs, grid integration capabilities, and social license on renewable energy project capacities; (iii) to examine the moderating role of governance quality, market structure, and public opinion on stated relationships; and (iv) to synthesize cross-regional best practices for accelerating adoption while mitigating barriers. The methodological design adopts a cross-sectional, mixed-methods approach combining quantitative regression analysis with qualitative case study insights. The population comprises renewable energy projects and supporting policy instruments implemented within the last decade across the selected jurisdictions. A purposive sampling strategy identifies 60 representative projects (20 per region) spanning solar, wind, and onshore/offshore configurations, complemented by a policy interview subset of 30 policymakers, regulators, and industry executives. Data collection instruments include standardized project performance and policy environment questionnaires, archival data from governmental and industry reports, and semi-structured interviews guided by a framework integrating multiple theories. Validity and reliability are ensured through triangulation, pilot testing of instruments, and inter-rater reliability checks for qualitative coding. Analytically, the study employs multiple regression and hierarchical linear modeling to test hypotheses about the impact of policy certainty (stable feed-in tariffs, auction design), financial incentives (tax credits, subsidies, loan guarantees), grid readiness (transmission capacity, storage integration), and social acceptance (policy legitimacy, public support) on project deployment rates and capacity factors. Factor analysis will be used to reduce dimensionality of policy and market variables, while interaction terms will assess cross-regional moderating effects of governance quality (rule of law, regulatory independence) and market structure (competitive markets vs. regulated monopolies). For qualitative data, thematic analysis will extract cross-cutting patterns in stakeholder perceptions and contextual drivers, with a comparative synthesis that aligns empirical findings with theoretical predictions. The theoretical framework anchors on the Technology-Organization-Environment (TOE) framework, complemented by the Regulatory Institutionalism theory and the Innovation Diffusion framework to interpret adoption dynamics in heterogeneous governance landscapes. Expected findings anticipate that policy certainty and market maturity exert the strongest direct effects on adoption, with the magnitude of influence moderated by governance quality and public acceptance. Grid readiness is expected to be a critical constraint in both regions, yet mitigated differently by storage solutions and interconnections. The study should reveal region-specific modal preferences, such as greater reliance on auctions in Europe and performance-based incentives in parts of North America, while identifying effective combinations of policy design and financial instruments that correlate with higher capacity additions and improved efficiency. The study contributes to knowledge by providing a robust cross-regional, evidence-based synthesis of determinants shaping renewable energy adoption, highlighting how institutional and market contexts condition the effectiveness of policy instruments. It offers policy-makers and industry leaders a decision-support framework for tailoring instruments to regional contexts, and identifies transferable best practices, potential pitfalls, and indicators for monitoring progress. Practical recommendations include designing credible multi-year policy signals, aligning grid development with renewable deployment timelines, and fostering public engagement strategies to secure social license. The conclusion discusses implications for regional energy transitions, suggesting integrated policy packages that reconcile financial viability, regulatory certainty, and social acceptability to accelerate renewable energy diffusion across diverse North American and European contexts.
Thesis Overview
This research compares the factors that influence the adoption of renewable energy in Europe and North America, asking why some regions move faster than others and which drivers matter most in each context. It matters because faster and more equitable deployment of renewables can reduce greenhouse gas emissions, improve energy security, and stimulate green economies, but policy effectiveness varies across regions due to social, economic, regulatory, and technological differences.
The problem this study addresses is the incomplete understanding of how regional contexts shape adoption dynamics. Existing work often focuses on single regions or uses broad generalizations that overlook the interaction between policy design, market structures, public attitudes, and grid characteristics. A cross-regional analysis helps uncover which factors are universal and which are region-specific, guiding more effective policies and investment decisions.
What the researcher will do, step by step:
- Define a comparative framework drawing on relevant theories (for example, diffusion of innovations and policy feedback theory) to categorize adoption drivers.
- Specify a list of potential factors: economic incentives, feed-in tariffs or subsidy design, carbon pricing, grid readiness, project financing conditions, public acceptance, regulatory stability, and technology costs.
- Collect data from multiple sources for each region (official policy datasets, energy investment reports, renewable capacity additions, electricity price and tariff information, and survey data on public attitudes).
- Build a cross-regional dataset covering a defined period (e.g., 2010–2024) with consistent indicators.
- Employ quantitative analysis (multivariate regression or panel data methods) to identify significant predictors of adoption rates, complemented by qualitative insights from policy documents and expert interviews.
- Validate findings through robustness checks and sensitivity analyses; ensure reliability and confirmability of results.
The study’s contribution includes a nuanced, evidence-based understanding of which drivers most strongly influence renewable adoption across Europe and North America, clarifying universal versus regional effects, and informing policy design and investment strategies.
Expected outcomes: identification of key leverage points (e.g., policy stability, grid interconnection standards, financing conditions) that reliably accelerate adoption in both regions, with region-specific nuances highlighted for tailored policy recommendations.