编辑介绍

IF 1.2 Q3 ECONOMICS
Monika Banaszewska, Michal Pilc
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引用次数: 0

摘要

作者表明,RW不仅在提供来自各种信息源的一致的输出表方面是有效的,而且它还允许创建使用单一数据源无法获得的输出表。[…作者认为,在即将到来的2021年波兰人口普查中,RW将对波兰统计局有用,并且在更一般的情况下,将有助于产生及时和更全面的统计数据。[…作者指出,尽管土耳其对女性雇员的歧视似乎持续存在,但在分析期间有所减少。研究表明,波兰上市公司使用贸易信贷的主要原因是前期应付贸易账款、应收贸易账款、长期债务、流动性和短期债务。[…发现长期和短期债务融资可以替代贸易信贷。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Editorial introduction
The authors show that RW is effective not only in providing consistent output tables from various information sources but that it also enables the creation of output tables that it would not be possible to obtain with the use of a single data source. [...]the authors suggest that RW would be useful for Statistics Poland in the upcoming 2021 Polish census and, in a more general way, would contribute to producing timely and more comprehensive statistical data. [...]the authors note that even though discrimination against female employees in Turkey seems to be persistent it decreased over the period under analysis. The authors show that the use of trade credit by Polish listed companies is explained mostly by trade payables in the previous period, trade receivables, long-term debt, liquidity and shortterm debt. [...]long-term and short-term debt financing are found to serve as a substitute for trade credit.
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来源期刊
CiteScore
1.40
自引率
28.60%
发文量
0
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