Calculating a Prefecture-Level Well-Being Index in Japan: Applying the framework of the OECD's Better Life Index.

Yang Myung Si, Kazuya Taira
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Abstract

Objectives Well-being serves as a crucial indicator of national governance and societal advancement. Consequently, the Better Life Index (BLI) developed by the Organisation for Economic Co-operation and Development (OECD) has emerged as a pivotal multidimensional measure of well-being, surpassing traditional indicators such as Gross Domestic Product (GDP). However, current well-being indicators predominantly focus on national measurements and do not effectively evaluate well-being in smaller regions such as states or prefectures. This study aimed to calculate a Regional Well-Being Index (RWI) tailored to localized areas in Japan.Methods Japanese official statistics, publicly available as open data, were analyzed, focusing on 11 domains similar to those in the BLI: "Income," "Jobs," "Housing," "Health," "Work-Life Balance," "Education," "Community," "Civic Engagement," "Environment," "Safety," and "Life Satisfaction." The RWI scores were calculated for each prefecture in 2010, 2013, 2016, and 2019 using standard normalization techniques. To represent the overall well-being of each prefecture in each year, scores were aggregated across all domains; this aggregate is referred to as the Integrated RWI. The reliability and validity of RWI were assessed by examining time-series changes and Pearson's correlation coefficients.Results Median Integrated RWI scores for Japanese prefectures remained relatively stable across the study period, with slight variations observed: median = 0.67 (Interquartile range [IQR]: -2.48-2.71) in 2010, median = 0.00 (IQR: -2.85-2.76) in 2013, median = 0.13 (IQR: -3.05-2.49) in 2016, and median = 0.19 (IQR: -2.75-3.06) in 2019. Geographical analysis showed lower scores in regions such as Western Kyushu and Shikoku, and higher scores in Chubu and Eastern Kinki. The RWI and the BLI demonstrated construct validity, with Pearson's correlation coefficients ranging from 0.58 to 0.99 across various domains.Conclusion The RWI, based on the OECD's BLI, proved to be a reliable and valid tool for assessing comprehensive well-being at the regional level in Japan. It offers foundational data for identifying challenges to regional well-being and shaping targeted policies, thereby contributing to evidence-based policymaking. Moreover, this methodology has potential applicability in evaluating comprehensive well-being beyond GDP at the regional level in other countries using official statistics.

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计算日本县级幸福指数:应用经合组织 "美好生活指数 "框架。
目标 幸福是国家治理和社会进步的重要指标。因此,经济合作与发展组织(OECD)制定的 "美好生活指数"(BLI)已成为衡量幸福感的关键多维指标,超越了国内生产总值(GDP)等传统指标。然而,目前的福祉指标主要集中在全国范围内,无法有效评估州或县等较小区域的福祉。本研究旨在计算适合日本局部地区的地区幸福指数(RWI)。研究方法 分析了作为开放数据公开的日本官方统计数据,重点关注与 BLI 类似的 11 个领域:"收入"、"工作"、"住房"、"健康"、"工作与生活的平衡"、"教育"、"社区"、"公民参与"、"环境"、"安全 "和 "生活满意度"。采用标准归一化技术计算了 2010 年、2013 年、2016 年和 2019 年各都道府县的 RWI 分数。为了代表各都道府县每年的整体福祉,对所有领域的得分进行了汇总;这一汇总被称为综合 RWI。通过研究时间序列变化和皮尔逊相关系数,对 RWI 的可靠性和有效性进行了评估。67(四分位数间距 [IQR]:-2.48-2.71),2013 年中位数 = 0.00(四分位数间距 [IQR]:-2.85-2.76),2016 年中位数 = 0.13(四分位数间距 [IQR]:-3.05-2.49),2019 年中位数 = 0.19(四分位数间距 [IQR]:-2.75-3.06)。地域分析表明,西九州和四国等地区的得分较低,而中部和东近畿的得分较高。结论 基于经合组织 BLI 的 RWI 被证明是评估日本地区综合福祉的可靠有效的工具。它为确定地区福利面临的挑战和制定有针对性的政策提供了基础数据,从而有助于循证决策。此外,这一方法还具有潜在的适用性,可用于其他国家利用官方统计数据在区域层面评估超越国内生产总值的全面福祉。
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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