回馈大众的效率:来自东亚国家ESG和非ESG公司的见解

IF 0.3 Q4 BUSINESS, FINANCE
Muhammad Hafiz Ali, N. Abdul Rahim, M. Yahya, Fakarudin Kamarudin
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引用次数: 0

摘要

对可持续性的认识不断提高,促使更多的公司将环境、社会和治理(ESG)报告纳入其机构。然而,企业的ESG信息受到信息不对称问题的困扰。因此,本研究旨在提供一种更统一的衡量企业社会绩效的统计方法;命名为ESG效率。数据包络分析(DEA)模型用于通过ESG贡献来衡量企业回馈大众的ESG效率。马来西亚、泰国、新加坡和印度尼西亚被选为2010年至2019年的研究对象。所有选定国家的调查结果相对一致。研究发现,ESG和非ESG公司的ESG效率都存在波动,ESG公司的ESD效率呈上升趋势波动。与非ESG公司相比,ESG公司在回馈大众方面效率更高,平均技术效率(TE)更高。此外,纯技术效率(PTIE)被确定为影响公司TE的一个重要因素,这表明公司在将财务回报导向ESG贡献方面纯粹是管理效率低下。随后,本研究提供了一种更简单的SP测量方法,能够确定影响企业ESG效率的重要因素,并扩展了东亚ESG发展的文献。关键词:ESG、数据包络分析、效率
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficiency in Giving Back to the Masses: Insights from ESG and Non-ESG Firms in Selected East Asian Countries
Increasing awareness for sustainability has led more firms to incorporate environmental, social, and governance (ESG) reporting into their establishments. However, firms’ ESG information are beset with issues of information asymmetry. Hence, this study was set to provide a more uniformed statistical method of measuring firm’s social performance (SP); named ESG efficiency. The Data Envelopment Analysis (DEA) model was used to measure the ESG efficiency of firms in giving back to the masses by means of ESG contribution. Malaysia, Thailand, Singapore, and Indonesia were selected for the study from the year 2010 to 2019. The findings were relatively consistent for all selected countries. The study found that ESG efficiency of both ESG and non-ESG firms had fluctuated, with ESG firms’ ESG efficiency fluctuating on an increasing trend. ESG firms were found to be more efficient in giving back to the masses, with higher mean technical efficiency (TE), compared to non-ESG firms. Furthermore, Pure Technical Inefficiency (PTIE) was identified as a significant factor in influencing a firm’s TE, indicating that the firms were purely managerial inefficient in directing their financial returns toward ESG contribution. Subsequently, this study provides a simpler method in SP measurement, and was able to identify the significant factor that affected firms’ ESG efficiency, and extends the literature on East Asia’s ESG development. Keywords: ESG, data envelopment analysis, efficiency
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