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the dismissal of the head of state or government for violating constitutional rules are being complied with
more.
6. 政府間政策產(chǎn)出數(shù)據(jù)集(IPOD)的介紹(Introducing the Intergovernmental Policy
Output Dataset (IPOD))
Magnus Lundgren,瑞典哥德堡大學(xué)政治科學(xué)系副教授
Theresa Squatrito,英國倫敦政治經(jīng)濟(jì)學(xué)院政治科學(xué)系教授
Thomas Sommerer,德國波茨坦大學(xué)政治科學(xué)和公共管理系副教授
Jonas Tallberg,瑞典斯德哥爾摩大學(xué)法律與經(jīng)濟(jì)系副教授
【摘要】越來越多的人認(rèn)識(shí)到,國際組織(IOs)在廣泛的領(lǐng)域制定和采用政策。國際組織已成為各國
尋求共同解決氣候變化或新冠肺炎(COVID-19)等當(dāng)代挑戰(zhàn)的重要場(chǎng)所,也是建立貿(mào)易、發(fā)展、安全
等框架的重要場(chǎng)所。國際組織以這種身份制定特殊政策和常規(guī)政策,其目的多種多樣,從接納新成員
等具有歷史意義的政策,到管理國際組織工作人員等更為瑣碎的任務(wù)。本文介紹了政府間政策產(chǎn)出數(shù)
據(jù)集(IPOD),該數(shù)據(jù)集涵蓋了 1980-2015 年間 13 個(gè)多議題國際組織的近 37000 項(xiàng)獨(dú)立政策行為。
該數(shù)據(jù)集填補(bǔ)了有關(guān)政府間組織比較研究的文獻(xiàn)日益增多的空白,為研究人員提供了有關(guān)政府間組織
政策產(chǎn)出結(jié)構(gòu)的精細(xì)視角,以及用于跨時(shí)間、跨政策領(lǐng)域和跨組織比較的數(shù)據(jù)。本文介紹了數(shù)據(jù)集的
構(gòu)建和覆蓋范圍,并指出了數(shù)據(jù)揭示的關(guān)鍵時(shí)間和橫向模式。為了簡(jiǎn)明扼要地說明該數(shù)據(jù)集的效用,
本文在對(duì)機(jī)構(gòu)特征與廣泛政策議程動(dòng)態(tài)之間關(guān)系的比較研究中應(yīng)用了點(diǎn)狀均衡模型??傊g政
策產(chǎn)出數(shù)據(jù)集為研究人員提供了一個(gè)獨(dú)特的資源,可以對(duì)政府間組織的政策產(chǎn)出進(jìn)行精細(xì)分析,并探
討政府間組織的響應(yīng)能力、績(jī)效和合法性等問題。
【原文】There is a growing recognition that international organizations (IOs) formulate and adopt policy in
a wide range of areas. IOs have emerged as key venues for states seeking joint solutions to contemporary
challenges such as climate change or COVID-19, and to establish frameworks to bolster trade, development,
security, and more. In this capacity, IOs produce both extraordinary and routine policy output with a multitude
of purposes, ranging from policies of historic significance like admitting new members to the more mundane
tasks of administering IO staff. This article introduces the Intergovernmental Policy Output Dataset (IPOD),
which covers close to 37,000 individual policy acts of 13 multi-issue IOs in the 1980–2015 period. The dataset
fills a gap in the growing body of literature on the comparative study of IOs, providing researchers with a finegrained perspective on the structure of IO policy output and data for comparisons across time, policy areas,
and organizations. This article describes the construction and coverage of the dataset and identifies key
temporal and cross-sectional patterns revealed by the data. In a concise illustration of the dataset’s utility, we
apply models of punctuated equilibria in a comparative study of the relationship between institutional features
and broad policy agenda dynamics. Overall, the Intergovernmental Policy Output Dataset offers a unique
resource for researchers to analyze IO policy output in a granular manner and to explore questions of
responsiveness, performance, and legitimacy of IOs.