摘要翻译：
过去30年来，政策一致性促进发展的概念在学术界、实践者和国际组织中受到特别关注。然而，其量化和衡量仍然难以捉摸。为了应对这一挑战，我们制定了一个理论和经验框架，以衡量发展政策优先事项的一致性。我们的程序考虑到各国政府在努力实现具体发展目标时所面临的具体国家制约因素。因此，我们提出了一个新的政策一致性定义，其中使用特定环境的有效资源配置作为基线来构建一个指标。为了证明我们的指数的有用性和有效性，我们分析了墨西哥、韩国和爱沙尼亚的案例，这三个发展中国家可以说是加入经合组织的目的是协调一致地制定政策，使其能够赶上进程。我们发现，韩国显示出政策一致性的显著迹象，爱沙尼亚似乎正在实现这一目标，墨西哥显然失败了。此外，我们的结果突出了利用发展指标数据进行简单的基准比较来评估一致性的局限性。总之，我们的框架为开发定制分析工具以满足2030年议程提供了新的光明前景。
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英文标题：
《Quantifying the Coherence of Development Policy Priorities》
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作者：
Omar A. Guerrero and Gonzalo Casta\~neda
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最新提交年份：
2019
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分类信息：

一级分类：Economics        经济学
二级分类：General Economics        一般经济学
分类描述：General methodological, applied, and empirical contributions to economics.
对经济学的一般方法、应用和经验贡献。
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一级分类：Quantitative Finance        数量金融学
二级分类：Economics        经济学
分类描述：q-fin.EC is an alias for econ.GN. Economics, including micro and macro economics, international economics, theory of the firm, labor economics, and other economic topics outside finance
q-fin.ec是econ.gn的别名。经济学，包括微观和宏观经济学、国际经济学、企业理论、劳动经济学和其他金融以外的经济专题
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英文摘要：
  Over the last 30 years, the concept of policy coherence for development has received especial attention among academics, practitioners and international organizations. However, its quantification and measurement remain elusive. To address this challenge, we develop a theoretical and empirical framework to measure the coherence of policy priorities for development. Our procedure takes into account the country-specific constraints that governments face when trying to reach specific development goals. Hence, we put forward a new definition of policy coherence where context-specific efficient resource allocations are employed as the baseline to construct an index. To demonstrate the usefulness and validity of our index, we analyze the cases of Mexico, Korea and Estonia, three developing countries that, arguably, joined the OECD with the aim of coherently establishing policies that could enable a catch-up process. We find that Korea shows significant signs of policy coherence, Estonia seems to be in the process of achieving it, and Mexico has unequivocally failed. Furthermore, our results highlight the limitations of assessing coherence in terms of naive benchmark comparisons using development-indicator data. Altogether, our framework sheds new light in a promising direction to develop bespoke analytic tools to meet the 2030 agenda.
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PDF链接：
https://arxiv.org/pdf/1902.00430