Risk identification and assessment on green product certification — Model construction and empirical analysis

Abstract

Green product certification is an important link between sustainable production and consumption, which are widely used by governments to promote sustainable development. However, the risks in the green product certification are not sufficiently addressed. The purpose of this study is to identify and evaluate the risk of green product certification, for a risk index system and the intelligent risk assessment model were constructed, which could provide support for risk management of green product certification. Green furniture products were taken as an example, as they are closely related to daily life and health. Based on the implementation specification of green product certification on furniture in China, six basic links and 19 certification risk indicators were proposed. Then an intelligent risk assessment model was constructed using the interpretation structure model, analytical network process and probabilistic neural networks methods. Based on the history data of green furniture product certification in China, the results show that on-site inspection stage has the highest risk weight of 0.3457 among the six links. The comprehensiveness of the information input has the highest risk weight of 0.1290 among the 19 indicators. The intelligent risk assessment model could accurately evaluate the risk, the results showed that there is always a certain risk in the green product certification. Therefore, some suggestions were recommended, certification traceability system, professional staff training and intelligent information filling would be helpful to risk management of green product certification. The results of this study could be extended to other fields of green products and be used for other countries to improve the risk management of green product certification.