Chemical management policies and a distribution model for chemical accidents

Yeo, Min‐Kyeong; Han, Taek-Hyeon; Kim, Soon-Seok; Lee, Jin Ah; Park, Hyung-Geun

doi:10.1007/s13273-017-0040-7

Cited by 5 publications

(2 citation statements)

References 4 publications

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“…Risks would be possible losses or damages from various aspects, such as natural disasters, accidents, administrative mistakes, or cybersecurity threats. The discharge or landfill of hazardous waste (Song et al ., 2013; Yeo et al ., 2017) has harmful influences on human health and ecosystems, which requires essential risk management (Li et al ., 2012). Climate change poses a severe threat to China's food security in the future, which calls for risk management of agro-climate (Chen and Hsu, 2014).…”

Section: Introductionmentioning

confidence: 99%

Risk management research in East Asia: a bibliometric analysis

Zhang

Ling

Lin

2023

IJICC

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PurposeThe aim of this paper is to present a comprehensive analysis of risk management in East Asia from 1998 to 2021 by using bibliometric methods and tools to explore research trends, hotspots, and directions for future research.Design/methodology/approachThe data source for this paper is the Web of Science Core Collection, and 7,154 publications and related information have been derived. We use recognized bibliometric indicators to evaluate publications and visually analyze them through scientific mapping tools (VOS Viewer and CiteSpace).FindingsThe analysis results show that China is the most productive and influential country/region. East Asia countries have strong cooperation with each other and also have cooperation with other countries. The study shows that risk management has been involved in various fields such as credit, supply chain, health emergency and disaster especially in the background of COVID-19. We also found that machine learning, especially deep learning, has been playing an increasingly important role in risk management due to its excellent performance.Originality/valueThis paper focuses on studying risk management in East Asia, exploring its publication's fundamental information, citation and cooperation networks, hotspots, and research trends. It provides some reference value for scholars who are interested or further research in this field.

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Section: Introductionmentioning

confidence: 99%

Risk management research in East Asia: a bibliometric analysis

Zhang

Ling

Lin

2023

IJICC

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“…The European Union formulated a series of directives related to product environment, such as "Restriction of Hazardous Substances (RoHS)" and "Waste Electrical and Electronic Equipment (WEEE)", which improved the environmental performance of electrical appliances, electronics, and automobiles in the European market and greatly promoted the green manufacturing of products [3]. Japan formulated a new version of the "Chemical Substance Control Law", requiring enterprises in the chemical, household appliances, textile, toy production, and other industries to provide data on the safety of their products and to report and evaluate new chemical substances [4]. Germany formulated the "Circular Economy and Waste Management Law", which takes "government promotion, market guidance, enterprise implementation, and public participation" as the guiding principle, and specifies the tasks of the government and enterprises to achieve the goal of "reduction, reuse, and recycling" [5].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Green Manufacturing Level in China’s Provincial Administrative Regions Based on Combination Weighting Method and TOPSIS

Wang

Zhang

2022

Sustainability

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Green manufacturing is becoming an important emerging field in the new round of global industrial revolution and scientific and technological competition. Scientific evaluation of China's regional green manufacturing level has far-reaching significance for promoting the transformation and upgrading of the manufacturing industry and enhancing international competitiveness. This paper defines the connotation of green manufacturing in China in the new era, proposes four dimensions of green production, green emission, green technology, and green benefit as the framework of the evaluation system, and constructs the evaluation index system. By taking 30 provincial administrative regions as research samples, based on the data from 2017 to 2020, the combination weighting method and TOPSIS are used for evaluation from the perspective of "static" and "dynamic" to identify the current situation and development of green manufacturing level in each region. It was found that the important factors affecting the green manufacturing level in each region are green products, green invention patents, sulfur dioxide, green factories, and coal consumption. The "static" evaluation results show that the green manufacturing level varies significantly among regions. The eastern area is generally better than the central and western areas, and only six regions are at high-level and medium to high-level. In addition, the four dimensions in most regions are imbalanced, with an obvious Matthew effect. The "dynamic" evaluation results show that the green manufacturing level in 30 regions appears to have six different types of dynamic trends. There is a small change in the ranking of most regions, indicating that the dynamic development of green manufacturing level has clear regional dependence, which is difficult to change in the short term. The research results show that the index system and model can effectively evaluate the regional green manufacturing level. Finally, combined with the important influencing factors, some suggestions are proposed to enhance the regional green manufacturing level.

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