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Our analysis of the policy interaction focuses on the EU, yet the conclusions may also be of relevance for fast growing emerging economies like China.
The results imply that unintended consequences of the policy interaction may be particularly severe and costly when aggregate electricity demand is low and that carbon prices are more sensitive to changes in economic activity if they are applied in combination with renewable energy targets.
Note that while the study may provide a conservative test of the hypotheses, the policy interaction effect is far from reaching statistical significance.
The policy interaction process has evolved over time, but the Growing Up in New Zealand Policy Forum has remained an integral mechanism for the communication of ideas between researchers and policy-makers.
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Qualitative approaches provide a descriptive explanatory analysis of often non-quantifiable process in policy interactions, whereas modeling approaches provide numerical data estimating the extent of policy interaction impacts.
One may object that since the counter-expectations of H1a and H1b seem equally plausible, the lack of a policy interaction effect may stem from the circumstance that the policy condition is not linear in its effect but instead has an exponential function.
This paper focuses on the data analysis component of policy interaction within the Growing Up in New Zealand study and considers several key questions of relevance for New Zealand's ECE policy.
This article provides a timely examination of EU emission legislation policy design and policy interaction within the European Union with the aim of explaining why the EU policy framework failed to regulate the regional automotive industry.
Different model specifications are tested, and the analysis highlights important policy interaction effects.
Therefore, we analysed the evolution of the scenario content and use, the study's subject, and the science-policy interaction, and use this information in combination with our experience and the experience of our colleagues, to estimate the 'Learning success'.
Therefore, our evidence supports the need for going beyond a simple one-fits-all approach to deploy the synergistic effect of the policy drivers' interaction.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com