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<p>This study investigates whether research articles authored by government agencies are preferred by different types of policymakers, specifically government sectors, think tanks, and intergovernmental organizations (IGOs). As government agencies have increasingly become “producers” of science by publishing scientific papers as authors, it remains unclear how this shift influences the uptake of their research in evidence-based policymaking. To address this, we analyzed citations from policy documents to research articles published in five leading economics journals between 2000 and 2020 (<i>n</i> = 8030). Negative binomial regression (NBREG) and zero-inflated negative binomial regression (ZINB) models were used to examine the effects of government authorship on policy citations from the three policymaker types. Our results show that government sectors significantly prefer research authored by government agencies, while think tanks and IGOs do not exhibit a significant preference. Robustness checks, including Propensity Score Matching (PSM) and Coarsened Exact Matching (CEM), confirmed these findings. Our findings highlight variability in how different policymakers select scientific evidence and enhance our understanding of the interaction between science authorship and policymaking.</p>

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Is research from government agencies more favored by policymakers? Empirical evidence from a scientometric analysis

  • 期刊论文

  • 发表日期：

    2025年8月26日

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  • Xiaoying Yu,
  • Qianjin Zong,
  • Lixue Lin,
  • Hongjin Xu

摘要

This study investigates whether research articles authored by government agencies are preferred by different types of policymakers, specifically government sectors, think tanks, and intergovernmental organizations (IGOs). As government agencies have increasingly become “producers” of science by publishing scientific papers as authors, it remains unclear how this shift influences the uptake of their research in evidence-based policymaking. To address this, we analyzed citations from policy documents to research articles published in five leading economics journals between 2000 and 2020 (n = 8030). Negative binomial regression (NBREG) and zero-inflated negative binomial regression (ZINB) models were used to examine the effects of government authorship on policy citations from the three policymaker types. Our results show that government sectors significantly prefer research authored by government agencies, while think tanks and IGOs do not exhibit a significant preference. Robustness checks, including Propensity Score Matching (PSM) and Coarsened Exact Matching (CEM), confirmed these findings. Our findings highlight variability in how different policymakers select scientific evidence and enhance our understanding of the interaction between science authorship and policymaking.