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预测部分国家 ISO 14001 认证数量:灰色预测模型的应用,包括等维新息 GM(1,1)模型、动态灰色模型和非等维新息 GM 模型。

Forecasting number of ISO 14001 certifications of selected countries: application of even GM (1,1), DGM, and NDGM models.

机构信息

College of Economics and Management, Nanjing University of Aeronautics and Astronautics, 29 Jiangsu Avenue, Nanjing, 211106, China.

Department of Industrial Engineering, Shiraz Branch, Islamic Azad University, Shiraz, Iran.

出版信息

Environ Sci Pollut Res Int. 2019 Apr;26(12):12505-12521. doi: 10.1007/s11356-019-04534-2. Epub 2019 Mar 8.

DOI:10.1007/s11356-019-04534-2
PMID:30850983
Abstract

The adaptability of ISO 14001 is considered as one of the most useful tools for environmental sustainability and worldwide competitive advantage; however, the future of ISO 14001 certification faces some uncertainties because of its uneven acceptance in various countries. These uncertainties, if not properly managed, can hinder the implementation of business management systems in these countries. In order to guide policymakers in better management of ISO 14001 in future with certainty, this study aims to forecast the ISO 14001 certifications for 10 years for China, India, the USA, Italy, Japan, and Germany, the top six certified countries, through advanced mathematical modeling, namely grey models, even GM (1,1), discrete GM (1,1), and non-homogenous discrete grey model (NDGM). The benefits of mentioned models are ensured accuracy in assessment using small samples and poor information. Moreover, current research is a pioneer in the certifications growth analysis using the Synthetic Relative Growth Rate and Synthetic Doubling Time models. Finally, the empirical analysis indicated that China is constantly leading in terms of its ISO 14001 certifications till 2026 and the performance of developing countries was spectacular. Furthermore, the article has proposed some suggestions for the policymakers to make the environment more sustainable.

摘要

ISO 14001 的适应性被认为是实现环境可持续性和全球竞争优势的最有用工具之一;然而,由于其在各国的接受程度参差不齐,ISO 14001 认证的未来存在一些不确定性。如果这些不确定性得不到妥善管理,可能会阻碍这些国家实施企业管理系统。为了指导政策制定者在未来更有把握地管理 ISO 14001,本研究旨在通过先进的数学建模,即灰色模型、even GM(1,1)、离散 GM(1,1)和非齐次离散灰色模型(NDGM),对中国、印度、美国、意大利、日本和德国这六个认证最多的国家的 ISO 14001 认证进行未来 10 年的预测。所提到模型的优势在于使用小样本和不良信息确保评估的准确性。此外,目前的研究是使用综合相对增长率和综合倍增时间模型对认证增长进行分析的先驱。最后,实证分析表明,中国在 ISO 14001 认证方面一直处于领先地位,直到 2026 年,发展中国家的表现也非常出色。此外,本文还为政策制定者提出了一些建议,以实现更可持续的环境。

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