Policy makers in the modern age must confront complex and expanding knowledge on a daily basis. It has been put forth that policy making requires increasingly higher levels of policy analytical capacity at the individual, organizational, and system levels. Analytical capacity can enable better policy design and facilitate policy learning. Previous studies mostly operationalized the concept at the individual or organizational level with survey instruments, but the lack of widely and regularly conducted surveys limits the applicability of this method. Here, we propose new indicators of policy analytical capacity at the system level, using publicly available data. Our metrics are based on the outputs such as academic journal publications, government and stakeholder publications, and think-tank rankings. As an illustration, we apply this approach to the case of renewable energy policies in three countries: Germany, Japan, and the United States. Though each of the underlying metrics is susceptible to uncertainties and biases, a totality of the indicators presents a useful, proxy measurement of policy analytical capacity. The proposed approach can supplement the survey method by enabling longitudinal and geographical investigation into policy analytical capacity.
CITATION STYLE
Sugiyama, M., & Muto, J. (2024). Measuring policy analytical capacity in renewable energy policy: Germany-Japan-US comparison. Review of Policy Research, 41(1), 184–209. https://doi.org/10.1111/ropr.12527
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