现在是缩小治理统计差距的时候了——Praia集团已做好迎接挑战的准备

Q3 Decision Sciences

Statistical Journal of the IAOS Pub Date : 2023-05-30 DOI:10.3233/sji-230027

Joao de Pina Mendes Cardoso, François Roubaud, Arvinn Gadgil, Marie Laberge

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引用次数: 0

摘要

普拉亚治理统计小组由联合国统计委员会于2015年创建，旨在“为编制治理主要方面的统计数据制定国际标准和方法”。普拉亚集团最近成立了两个“工作队”，由世界各地的国家统计局领导，一个是关于不歧视和平等的工作队，另一个是关于参与政治和公共事务的工作队，其目的是促进制定衡量这两个方面的国际统计指南、标准和工具。本文回顾了每个任务小组迄今为止在这两个维度上制定国际统一模式调查问卷所完成的工作，以便能够产生基于调查的歧视和参与的综合统计数据，这些统计数据在不同文化、语言和发展背景下以及不同时期具有可比性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Now is the time to close gaps in governance statistics – And the Praia Group is ready for the challenge

Created in 2015 by the United Nations Statistical Commission, the Praia Group on Governance Statistics aims “to contribute to establishing international standards and methods for the compilation of statistics on the major dimensions of governance”. The Praia Group has recently created two “Task Teams” led by national statistical offices from around the world – one on Non-Discrimination and Equality, and one on Participation in Political and Public Affairs – whose aim is to advance the development of international statistical guidance, standards and instruments to measure these two dimensions. This article reviews the work accomplished so far by each Task Team to develop internationally harmonized model survey questionnaires on these two dimensions, in order to enable the production of comprehensive survey-based statistics on Discrimination and Participation that are comparable across different cultures, languages and development contexts, and over time.

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来源期刊

Statistical Journal of the IAOS Economics, Econometrics and Finance-Economics and Econometrics

CiteScore

1.30

自引率

0.00%

发文量

116

期刊介绍： This is the flagship journal of the International Association for Official Statistics and is expected to be widely circulated and subscribed to by individuals and institutions in all parts of the world. The main aim of the Journal is to support the IAOS mission by publishing articles to promote the understanding and advancement of official statistics and to foster the development of effective and efficient official statistical services on a global basis. Papers are expected to be of wide interest to readers. Such papers may or may not contain strictly original material. All papers are refereed.