发展中国家时间使用分析的现状与未来

M. Floro, E. King
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引用次数: 7

摘要

这篇论文的发现表明,时间使用数据可以加深我们对人类行为的理解,比如不同社会经济阶层的女性、男性和儿童如何进行日常生活和做出选择。根据对现有研究的审查,报告显示,时间利用资料比传统的经济活动衡量办法更能揭示妇女、男子和儿童的经济贡献范围,并对总产出作出更全面的估计。此外,家庭生产和照料对家庭成员福祉的各个方面都有贡献,但通常仍无法衡量。时间利用数据和分析通过揭示家庭成员面临的时间压力,揭示了收入贫困通常隐藏的时间维度。随着各国和发展机构努力实现17项可持续发展目标,各种发展政策和投资的有效性将成为未来几年关注的主要问题。对时间利用研究的回顾表明,通过记录和分析这些政策和方案如何导致人们时间分配的变化,可以丰富对这种有效性的任何评估。如果方案和投资的成本效益措施忽略了用户所需的时间投入,它们就是不完整的。在概念化、收集和分析时间使用信息方面有了重大改进。许多国家现在正在收集时间使用数据,但还需要进一步改进,以解决发展中国家在执行数据收集工具方面面临的实际困难。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The present and future of time-use analysis in developing countries
The findings of this paper show that time-use data can deepen our understanding of human behaviour, such as how women, men and children across socioeconomic strata conduct their daily lives and make choices. Based on a review of existing research it shows that time-use information reveals a much wider range of economic contributions from women, men and children than conventional measures of economic activities, and yields more comprehensive estimates of aggregate production. In addition, household production and caregiving contribute to all aspects of the well-being of household members and yet typically remain unmeasured. Time-use data and analyses uncover the commonly hidden time dimensions of income poverty by exposing the time pressure faced by household members. The effectiveness of various development policies and investments will be a major concern in the coming years as countries and development agencies work towards the 17 SDGs. This review of time-use research shows that any assessment of that effectiveness can be enriched by documenting and analyzing how those policies and programmes lead to shifts in people’s time allocation. Cost-effectiveness measures of programmes and investments are incomplete when they ignore the required time inputs of users. There have been major improvements in conceptualizing, collecting and analyzing time-use information. Many countries are now collecting time-use data, but many more improvements are needed to address the practical difficulties that face developing countries in implementing data collection instruments.
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