The evolution of blockchain technology, from its origins as a decentralized ledger for cryptocurrencies to its broader applications in areas like decentralized finance (DeFi), has significantly transformed financial ecosystems while introducing new challenges such as Maximum Extractable Value (MEV). This paper explores MEV on the Polygon blockchain, with a particular focus on Atomic Arbitrage (AA) transactions. We establish criteria for identifying AA transactions and analyze key factors such as searcher behavior, bidding dynamics, and token usage. Utilizing a dataset spanning 22 months and covering 23 million blocks, we examine MEV dynamics with a focus on Spam-based and Auction-based backrunning strategies. Our findings reveal that while Spam-based transactions are more prevalent, Auction-based transactions demonstrate greater profitability. Through detailed examples and analysis, we investigate the interactions between network architecture, transaction sequencing, and MEV extraction, offering comprehensive insights into the evolution and challenges of MEV in decentralized ecosystems. These results emphasize the need for robust transaction ordering mechanisms and highlight the implications of emerging MEV strategies for blockchain networks.
Jawad Abbas, Joanna Kurowska‐Pysz, Şerife Zihni Eyüpoğlu, Wei Liu
Geological JournalVolume 58, Issue 9 p. 3247-3249 SPECIAL ISSUE ARTICLE Nexus of geoenvironment, resource management and regional sustainable development: Introduction Jawad Abbas, Corresponding Author Jawad Abbas [email protected] Faculty of Management Sciences, University of Central Punjab, Lahore, Pakistan Correspondence Jawad Abbas, Faculty of Management Sciences, University of Central Punjab, Pakistan. Email: [email protected]Search for more papers by this authorJoanna Kurowska-Pysz, Joanna Kurowska-Pysz Department of Management, WSB University, Dąbrowa Górnicza, PolandSearch for more papers by this authorSerife Zihni Eyupoglu, Serife Zihni Eyupoglu Faculty of Economics and Administrative Sciences, Near East University, Nicosia, TRNC, TurkeySearch for more papers by this authorWei Liu, Wei Liu College of Business Administration, Qingdao University, Qingdao, ChinaSearch for more papers by this author Jawad Abbas, Corresponding Author Jawad Abbas [email protected] Faculty of Management Sciences, University of Central Punjab, Lahore, Pakistan Correspondence Jawad Abbas, Faculty of Management Sciences, University of Central Punjab, Pakistan. Email: [email protected]Search for more papers by this authorJoanna Kurowska-Pysz, Joanna Kurowska-Pysz Department of Management, WSB University, Dąbrowa Górnicza, PolandSearch for more papers by this authorSerife Zihni Eyupoglu, Serife Zihni Eyupoglu Faculty of Economics and Administrative Sciences, Near East University, Nicosia, TRNC, TurkeySearch for more papers by this authorWei Liu, Wei Liu College of Business Administration, Qingdao University, Qingdao, ChinaSearch for more papers by this author First published: 03 September 2023 https://doi.org/10.1002/gj.4852 Handling Editor: Ian Somerville Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat No abstract is available for this article. REFERENCES An, L., Jiang, X., Liu, Z., & Li, Q. (2023). Socio-economic impact of natural resource management: How environmental degradation affects the quality of life. Geological Journal, 58(9), 3310–3325. https://doi.org/10.1002/gj.4787 Belgacem, S. B., Adam, N. A., Khatoon, G., & Pawar, P. S. (2023). Do green finance, low-carbon energy transition, and economic growth help in environmental investment?: Empirical evidence from emerging economies in Asia. Geological Journal, 58(9), 3259–3267. https://doi.org/10.1002/gj.4712 Chakrabortty, R., & Pal, S. C. (2023). Systematic review on gully erosion measurement, modelling and management: Mitigation alternatives and policy recommendations. Geological Journal, 58(9), 3544–3576. https://doi.org/10.1002/gj.4709 Chowdhuri, I., Pal, S. C., Roy, P., Chakrabortty, R., Saha, A., & Shit, M. (2023). Evaluating the impact of climate change and geo-environmental factors on flood hazards in India: An integrated framework. Geological Journal, 58(9), 3515–3543. https://doi.org/10.1002/gj.4729 Feng, A., & Fu, Q. (2023). Does landscape ecology matter to a country's financial development? Evidence from China. Geological Journal, 58(9), 3301–3309. https://doi.org/10.1002/gj.4738 Fu, Q., Abbas, J., Alarif, G. B., Sial, M. S., Brugni, T. V., & Adamwal, N. (2023). I act in an environmentally responsible fashion since my firm is socially responsible: A pathway for transition to a responsible society. Journal of Cleaner Production, 414, 137523. https://doi.org/10.1016/j.jclepro.2023.137523 Hui, J., & Tan, Q. (2023). Trilemma association of natural resources, technology, and innovation's applications in regional growth. Geological Journal, 58(9), 3401–3410. https://doi.org/10.1002/gj.4783 IEA. (2022). Net zero by 2050 – Analysis [WWW document]. IEA. URL. https://www.iea.org/reports/net-zero-by-2050 (Accessed May 30, 2022). Kirikkaleli, D., & Sofuoğlu, E. (2023). Does financial stability matter for environmental degradation? Geological Journal, 58(9), 3268–3277. https://doi.org/10.1002/gj.4707 Kirikkaleli, D., Sowah, J. K., Jr., Addai, K., & Altuntaş, M. (2023). Energy productivity and environmental quality in Sweden: Evidence from Fourier and non-linear based approaches. Geological Journal, 58(9), 3452–3465. https://doi.org/10.1002/gj.4684 Li, Y. (2023). Joint impact of technological innovation and energy consumption on natural resource management: Evidence from the Asian developing region. Geological Journal, 58(9), 3385–3400. https://doi.org/10.1002/gj.4811 Lin, Z., Alvarez-Otero, S., Belgacem, S. B., & Fu, Q. (2023). Role of sustainable finance, geopolitical risk and economic growth in renewable energy investment: Empirical evidence from China. Geological Journal, 58(9), 3339–3347. https://doi.org/10.1002/gj.4654 Lindsey, R., & Dahlman, L. (2022). Climate Change: Global Temperature [WWW Document]. Climate.Gov. URL http://www.climate.gov/news-features/understanding-climate/climate-change-global-temperature (Accessed October 8, 2022). Ma, L. (2023). Economic and social impacts of the green energy transition: A pathway towards 100% renewable energy agenda. Geological Journal, 58(9), 3438–3451. https://doi.org/10.1002/gj.4764 Najam, H. (2023). Optimization of renewable energy supply for a carbon neutral society: Role of environmental regulations, sustainable finance, and financial innovation through the lens of game theory. Geological Journal, 58(9), 3466–3475. https://doi.org/10.1002/gj.4746 Pan, C., Abbas, J., Álvarez-Otero, S., Khan, H., & Cai, C.e. (2022). Interplay between corporate social responsibility and organizational green culture and their role in employees' responsible behavior towards the environment and society. Journal of Cleaner Production, 366, 132878. https://doi.org/10.1016/j.jclepro.2022.132878 Pan, C., Cristia, J. F. E., Irfan, M., Pan, Z., Ghardallou, W., Tahir, M., & Ali, B. (2023). Modelling the ecological footprints, climate change and economic growth nexus. Geological Journal, 58(9), 3348–3367. https://doi.org/10.1002/gj.4767 Ran, J., Ju, C., Yu, L., Bao, F., & Hu, Z. (2023). Remission of carbon pollutant with the regional integration enlargement: Data from Yangtze River Delta unveils the truth. Geological Journal, 58(9), 3424–3437. https://doi.org/10.1002/gj.4845 Rasheed, M. F., Zaheer, N., Hassan, W., Junaid, M., & Majeed, A. (2023). Role of sustainable supply chain management practices in boosting environmental performance: Empirical evidence from the textile sector of developing economies. Geological Journal, 58(9), 3577–3593. https://doi.org/10.1002/gj.4810 Roy, P., Pal, S. C., Chakrabortty, R., Saha, A., & Chowdhuri, I. (2023). A systematic review on climate change and geo-environmental factors induced land degradation: Processes, policy-practice gap and its management strategies. Geological Journal, 58(9), 3487–3514. https://doi.org/10.1002/gj.4649 Tao, M., & Zhang, B. (2023). Measuring the management of natural resources and regional sustainable development: Mediating role of green finance in China. Geological Journal, 58(9), 3278–3287. https://doi.org/10.1002/gj.4820 Tian, H., Akhtar, S., Iqbal, S., & Sharif, I. (2023). Impact of green technology and regional market orientation on innovation performance of SMEs in China: Contextual analysis of structural and relational embeddedness. Geological Journal, 58(9), 3411–3423. https://doi.org/10.1002/gj.4805 UNDP. (2021). Sustainable development goals [WWW document]. United Nations Development Programme. URL. https://www.undp.org/sustainable-development-goals Accessed August 19, 2021. Usman, A., Ozturk, I., Nagvi, S. M. M. A., & Javed, M. I. (2023). Green vs. conventional growth in the EKC framework of top pollutant footprint countries: Evidence based on advanced panel data techniques. Geological Journal, 58(9), 3368–3384. https://doi.org/10.1002/gj.4822 Wei, F., Sial, M. S., Haider, S. N., & Matac, L. M. (2023). Nexus of economic policy uncertainty, economic expansion and clean energy consumption and their role in carbon neutrality of emerging economies. Geological Journal, 58(9), 3250–3258. https://doi.org/10.1002/gj.4688 Xu, Y. (2023). Financial development, financial inclusion and natural resource management for sustainable development: Empirical evidence from Asia. Geological Journal, 58(9), 3288–3300. https://doi.org/10.1002/gj.4825 Zhao, H., & Li, Y. (2023). Impact of solar energy generation on carbon footprint: Evidence from China. Geological Journal, 58(9), 3476–3486. https://doi.org/10.1002/gj.4827 Zheng, S., & Wang, Z. (2023). Nexus of financial decentralization and institutional resource consumption efficiency for a carbon neutral society: Policy implication of China. Geological Journal, 58(9), 3326–3338. https://doi.org/10.1002/gj.4782 Volume58, Issue9Special Issue: Nexus of Geoenvironment, Resource Management, and Regional Sustainable DevelopmentSeptember 2023Pages 3247-3249 ReferencesRelatedInformation
The work is devoted to identifying and tracking development trends, structural shifts in the economy under the influence of world markets, represented by non-stationary time series of gold, bitcoin and oil prices. The heuristic potential of the concept of the long and medium wave is used for forecasting purposes. The analysis of financial time series using the adaptive correlation coefficient is carried out. The dynamics of the traditional coefficient appears to be a significantly smoothed graph, which prevents sufficient qualitative analysis of the data. The results obtained are analysed to identify wave fluctuations, to determine the phases of growth, prosperity, recession and stagnation in the economy. An overview of the situation on the world markets for gold, bitcoin and oil based on the considered time series is presented. Based on the identified trends in the dynamics of these markets, short-term forecasting was carried out using ARIMA models and neural networks. The statistical calculations R environment is used.
A flexible and adaptive artificial system must have two different capabilities: the diverse behavior of the system should be dynamically inducible, and the induced unstable behavior should be able to be coordinated into a specified stable state. It can be considered that flexibility is a phenomenon where a system has non-trivial behavior, and adaptability is the ability to find a certain state that is well-fulfilled in a specified situation from within such non-trivial behavior. A decentralized autonomous system framework gives the capability of flexibility for an artificial system by its instability characteristics being within the composition of its framework. On the other hand, adaptability can be derived by self-organization to coordinate the diverse system's behavior towards a certain state. This paper shows a formalism of self-organization in a decentralized autonomous system framework in a company with the feasibility of applying self-organization into a concrete engineering system problem.
Healthcare, Law, Governance, and Management Studies