Trade in Recyclable Raw Materials in EU: Structural Dynamics Study

Шопова, Маргарита; Petrova, Mariana; Todorov, Lyubomir

doi:10.1007/978-3-031-23463-7_3

Cited by 5 publications

(4 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The practical implementation of certain theoretical provisions developed in this research project in the processes of supporting managerial decisions, managing the information system and existing knowledge met with full understanding and support of senior management and showed positive results (new innovative clients, shortening of the production life cycle, increase in total revenues, etc.) (Ramazanov et al 2020a;Kovalenko-Marchenkova et al, 2022;Lazarova et al, 2023;Mikhno et al, 2022;Shopova et al, 2023;Iliev et al, 2023;Sribna et al, 2023).…”

Section: Discussionmentioning

confidence: 99%

Intelligent management of an innovative oil and gas producing company under conditions of the modern system crisis

Krasnyuk¹,

Hrashchenko²,

Goncharenko³

et al. 2023

ACCESS

View full text Add to dashboard Cite

This publication presents the part of the research results and practical results obtained by the authors regarding the hybrid use of economic-mathematical modelling, knowledge-oriented decision support technology of an oil and gas production company using fuzzy logical inference. The purpose of this research is the development of theoretical provisions of modelling and knowledge-oriented decision support means at the macro level of oil and gas production companies. The purpose of the work determined the solution of the following tasks: -development of science-based recommendations regarding the architecture of a knowledge-oriented DSS of an oil and gas company, the basic model of knowledge presentation, features of the logical conclusion mechanism, etc.; -development of a complex system of economic and mathematical support for decision-making at the macro level of an oil and gas production company in modern economic conditions. The object of the study is the oil and gas production industry. The subject of the research is information processes, economic-mathematical models and knowledge-oriented methods and means of supporting the adoption of management decisions at the strategic level on economic and production issues of the domestic oil and gas production project. Methods/Approach: Economic and mathematical methods, methods of artificial intelligence, methods of logical generalization, expert evaluations and situational approach are used to solve the tasks set in the work. Results:The main scientific result of the work consists in the creation of the concept that allows creating a hybrid DSS of an oil and gas company on the basis of the developed systems of economic and mathematical decision-making support at the macro level of an oil and gas production company, focused on knowledge of technology and intelligent technologies. Conclusions: The scientific, theoretical and applied practical solutions proposed in this publication are universal for implementation by both state and private oil and gas resident and non-resident companies for emerging markets, however, in order for a specific oil and gas company to obtain special additional competitive advantages over others, additional industry-specific Big Data Analysis of collected and stored heuristics, expertise and project development are required.

show abstract

Section: Discussionmentioning

confidence: 99%

Intelligent management of an innovative oil and gas producing company under conditions of the modern system crisis

Krasnyuk¹,

Hrashchenko²,

Goncharenko³

et al. 2023

ACCESS

View full text Add to dashboard Cite

show abstract

“…Existing items and processes can be circulated. This could create a suitable framework for a business strategy (Shopova et al, 2023). Buyback programs, repairs, refurbishment, resale, and the use of renewable and recycled materials can extend the life of products (Mallick et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Role of Global Trade in the Circular Economy

Šálková,

Singh

2024

Proceedings of the International Scientific Conference Hradec Economic Days 2024

View full text Add to dashboard Cite

Paper examines economic model known as upcycling, which seeks to minimize environmental damage by maximizing the reuse of resources. The use of raw materials, production and consumption that underpin the vertical economic system promoted by global trade has serious social and environmental consequences. The study highlights the opportunities and threats of global exchange in the context of supply chain transformation.Notwithstanding the considerable difficulties, the result suggests that global trade can contribute to the development of a circular economy by increasing productivity, reducing pollution, and encouraging more environmentally responsible production and consumption.The conclusions and suggestions relate to the findings from GRETL and how policy makers, firms and individuals could accelerate the uptake of recycling and reuse in global trade.

show abstract

“…Digital finance has facilitated the rapid growth of eco-friendly industries such as bike-sharing and car-sharing. These digitally driven eco-industries help conserve energy and materials and promote material recycling, all of which are undeniably essential for the sustainable development of urban economies [9]. While this digital innovation has garnered attention for its potential to enhance financial inclusion and stimulate economic growth, its environmental implications remain underexplored.…”

Section: Introductionmentioning

confidence: 99%

Urban Economic Efficiency, Environmental Factors, and Digital Finance: Impacts on Sustainable Development in Chinese Cities

Yuan,

2023

Sustainability

View full text Add to dashboard Cite

This study investigates the potential of digital finance to mitigate the environmental impact of economic development. Utilizing panel data from 290 Chinese cities between 2011 and 2019, we employ a two-way fixed effects model to control for unobservable city characteristics and time-invariant macro factors. Our findings reveal that cities with higher proportions of value-added tax and secondary industries (mainly for manufacturing) tend to experience increased air pollution. Conversely, cities characterized by higher economic efficiency exhibit better air quality, underscoring the significance of prioritizing technology-intensive sectors during economic development. Pollution control technologies, such as centralized wastewater treatment systems and harmless treatment systems for household waste, also play positive roles. Moreover, technological and educational investments correlate with increased urban green coverage and lower air pollution, highlighting the pivotal role of technology development and residents’ literacy in fostering sustainable practices. Although we initially observed a positive association between the index of digital financial technology and air pollution, which could be attributed to the influence of economic growth, our study employs instrumental variable regression to unveil their true correlation. The results suggest the application of digital financial technology may enhance environmental awareness, contributing to the mitigation of air pollution.

show abstract

Trade in Recyclable Raw Materials in EU: Structural Dynamics Study

Cited by 5 publications

References 45 publications

Intelligent management of an innovative oil and gas producing company under conditions of the modern system crisis

Intelligent management of an innovative oil and gas producing company under conditions of the modern system crisis

Role of Global Trade in the Circular Economy

Urban Economic Efficiency, Environmental Factors, and Digital Finance: Impacts on Sustainable Development in Chinese Cities

Contact Info

Product

Resources

About