POLITICAL-TERRITORIAL HETEROGENEITY, CONFLICTS, AND INSTITUTIONAL SOLUTIONS: THE STATE AND PROSPECTS FOR THE DEVELOPMENT OF DATABASES FOR QUANTITATIVE RESEARCH

P. V. Panov
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Abstract

Sociocultural, economic, geographical and other heterogeneity of states in a cross-territorial sense is often politicized and results in the rise of self-determination movements and political-territorial conflicts. In search of an answer to the question of which ways of managing political-territorial diversity are more effective, quantitative large-N comparative studies are being conducted by many scholars. These studies require the systematization and integration of large amounts of information on various aspects of the problem: the characteristics of conflicts, movements for self-determination, state policies on conflict management. This ambitious task is not yet fully solved, and the paper presents an overview of several databases that can become the basis for such integration, showing their strengths and limitations, opportunities and difficulties of integration. The main problem with this approach is likely to be that different data sets are based on different units of observation: conflicts, ethnic groups, countries, separate regions, etc. Moreover, even with the same units of observation, dissimilar criteria are used to include them in the dataset. In some datasets, there is a selection bias, which also impedes data integration.
政治-领土异质性、冲突和制度解决方案:定量研究数据库的现状和发展前景
国家在跨领土意义上的社会文化、经济、地理和其他异质性往往被政治化,并导致自决运动和政治-领土冲突的兴起。为了寻找管理政治-领土多样性哪种方式更有效的答案,许多学者正在进行定量的大n比较研究。这些研究需要将有关问题各方面的大量资料系统化和综合起来:冲突的特点、自决运动、管理冲突的国家政策。这一雄心勃勃的任务尚未完全解决,本文概述了几种可以成为这种集成基础的数据库,展示了它们的优势和局限性,集成的机会和困难。这种方法的主要问题可能是不同的数据集基于不同的观察单位:冲突、种族群体、国家、独立地区等。此外,即使是相同的观测单位,也使用不同的标准将它们包含在数据集中。在一些数据集中,存在选择偏差,这也阻碍了数据的整合。
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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