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


Journal

Environmental science and pollution research international
ISSN: 1614-7499
Titre abrégé: Environ Sci Pollut Res Int
Pays: Germany
ID NLM: 9441769

Informations de publication

Date de publication:
Apr 2019
Historique:
received: 09 11 2018
accepted: 07 02 2019
pubmed: 10 3 2019
medline: 14 6 2019
entrez: 10 3 2019
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 30850983
doi: 10.1007/s11356-019-04534-2
pii: 10.1007/s11356-019-04534-2
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

12505-12521

Références

J Environ Manage. 2016 Jan 15;166:556-66
pubmed: 26606323
J Environ Manage. 2016 Dec 1;183(Pt 3):882-894
pubmed: 27666644
J Environ Manage. 2017 Sep 1;199:251-262
pubmed: 28552409

Auteurs

Muhammad Ikram (M)

College of Economics and Management, Nanjing University of Aeronautics and Astronautics, 29 Jiangsu Avenue, Nanjing, 211106, China. mikram@nuaa.edu.cn.

Amin Mahmoudi (A)

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

Syed Zulfiqar Ali Shah (SZA)

Faculty of Management Sciences, International Islamic University Islamabad, Islamabad, 44000, Pakistan.

Muhammad Mohsin (M)

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

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