【Author】 Chu, Xiang Wang, Rui Lin, Yan Li, Yantong

【Source】TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW

【影响因子】10.047

【主题类别】

区块链应用-实体经济-公共管理

【Abstract】Online trade-in programs provide efficient and convenient buyback services. However, they suffer from a trust deficit because of potential cheating by service providers (platforms). In this study, we design a blockchain-enabled system in which platforms tend to avoid cheating. The system employs an updated operation process to ensure reliable information inputs, a consortium blockchain network to avoid data tampering, and an intelligent algorithm embedded in a smart contract to automatically detect cheats. We then theoretically analyze the behavior of participants in the proposed system. In particular, we model the cheating decisions of a platform as chance-constrained programming and develop a Monte Carlo simulation method based on exploited optimality properties to solve it. Numerical experiments with real-world data demonstrate that the system reduces platforms' motivation to cheat to an acceptable level. We draw managerial and policy implications to improve system performance.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Closed-loop supply chain; Blockchain; Online trade-in; Trust; Cheat detection

【发表时间】2022

【收录时间】2022-08-19

【文献类型】 理论模型

【DOI】 10.1016/j.tre.2022.102833

【Author】 Li, Chao Yang, Haijun

【Source】FINANCE RESEARCH LETTERS

【影响因子】9.848

【主题类别】

区块链治理-市场治理-市场分析

【Abstract】Understanding the crash of cryptocurrencies in 2021 requires analyses of the microstructure of leading cryptocurrencies and memecoins. Using 4-hourly data, we reveal how leading crypto-currencies and memecoins influence each other with the Granger-causality test and dynamic connectedness. We find that leading cryptocurrencies spillovers dominate memecoins by falling while memecoins spillovers affect leading cryptocurrencies by rising. Moreover, we conduct regression analysis on a daily and 4-hourly basis, and the results confirm the findings above. In most periods, leading cryptocurrencies drive memecoins; however, when memecoins show a positive net spillover, it tends to trigger the leading cryptocurrencies to crash.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Cryptocurrency; Memecoins; TVP-VAR; Connectedness; Spillovers; Crash

【发表时间】2022

【收录时间】2022-08-19

【文献类型】 实证数据

【DOI】 10.1016/j.frl.2022.103191

【Author】 Yang, Ming-Yuan Wu, Zhen-Guo Wu, Xin

【Source】FINANCE RESEARCH LETTERS

【影响因子】9.848

【主题类别】

区块链治理-市场治理-市场分析

【Abstract】This paper studies the risk diffusion in the cryptocurrency market during the period from 2018 to 2021 based on the network analysis. By comparing the network topologies of cryptocurrency, stock and foreign exchange networks, we find that risks may diffuse more easily in the cryptocurrency market rather than traditional financial markets. We also measure the breadth and depth of risk diffusion for cryptocurrencies, and build panel regression models to identify what contributes to the risk diffusion. Our findings show that cryptocurrencies with large market capitalization, and others that experience decline in prices or low-turnover also contribute to the risk diffusion.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Cryptocurrency market; Risk diffusion; Network analysis

【发表时间】2022

【收录时间】2022-08-19

【文献类型】 实证数据

【DOI】 10.1016/j.frl.2022.103180

【Author】 Mueller, Fernanda Maria Santos, Samuel Solgon Goessling, Thalles Weber Righi, Marcelo Brutti

【Source】FINANCE RESEARCH LETTERS

【影响因子】9.848

【主题类别】

区块链治理-市场治理-市场分析

【Abstract】We forecast the Range Value at Risk (RVaR) of main cryptocurrencies using the GARCH model with different error distributions. We compare the performance of the different forecasts using a score function. The normal and asymmetric normal distributions presented the best performance for RVaR. Our findings suggest that the main driver for the RVaR of cryptocurrencies is the conditional standard deviation and not the distribution of the stochastic term. For the Value at Risk (VaR) and Expected Shortfall (ES), non-normal distributions present the best performance. We also note the advantages of RVaR over ES regarding regulatory arbitrage and model misspecification.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Range Value at Risk (RVaR); Cryptocurrencies; Bitcoin; Risk forecasting

【发表时间】2022

【收录时间】2022-08-19

【文献类型】 实证数据

【DOI】 10.1016/j.frl.2022.102916

【Author】 Bazan-Palomino, Walter

【Source】FINANCE RESEARCH LETTERS

【影响因子】9.848

【主题类别】

区块链治理-市场治理-市场分析

【Abstract】After detecting several bubbles during 2015-2022, this study investigates the impact of the two biggest bubbles - those of 2017 and 2021 - on interdependence and contagion among cryptocurrencies. Interdependence declines during these bubbles relative to the post-bubble periods, and there is strong evidence of contagion over the whole sample and in the post-2021 bubble period. To illustrate their impact, optimal weights, volatility, and expected shortfall of a global minimum variance portfolio are examined. While volatility is higher during bubbles, the expected shortfall is stronger in the post-bubble periods. My results provide useful information for risk management and derivative pricing.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Interdependence; Contagion; Bubbles; Global minimum variance portfolio

【发表时间】2022

【收录时间】2022-08-19

【文献类型】 实证数据

【DOI】 10.1016/j.frl.2022.103132

【Author】 Disli, Mustafa Abd Rabbo, Fatima Leneeuw, Thibault Nagayev, Ruslan

【Source】FINANCE RESEARCH LETTERS

【影响因子】9.848

【主题类别】

区块链治理-市场治理-市场分析

【Abstract】Binance, the largest cryptocurrency exchange by traded value, relocated from Hong Kong (origin market) to Malta (destination market). This study exploits this relocation event by examining the comovement of Binance's native token with the native tokens of other cryptocurrency exchanges in the origin and destination markets. Using multivariate regression analysis, our results show that Binance experienced a significant decline in comovement with its origin market after moving to Malta. The results are less evident for the destination market; however, an increase in comovement immediately after the relocation of Binance is notable.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Exchange relocation; Binance; Altcoins; Bitcoin; Comovement

【发表时间】2022

【收录时间】2022-08-19

【文献类型】 实证数据

【DOI】 10.1016/j.frl.2022.102989

【Author】 Burke, Matt Fry, John Kemp, Sean Woodhouse, Drew

【Source】FINANCE RESEARCH LETTERS

【影响因子】9.848

【主题类别】

区块链治理-市场治理-数字货币

【Abstract】In this paper we investigate the predictability of cryptocurrency returns following increases in Covid-19 cases/deaths. We find that the rate of government intervention moderates the impact that Covid-19 cases/deaths have on cryptocurrency returns. We show that in periods of tight-ening government intervention, increases in Covid-19 cases positively predict cryptocurrency returns. We argue that this is due to investors imputing their expectations of the pandemic through a 'combined' signal.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Covid-19; Asset pricing; Cryptocurrency

【发表时间】2022

【收录时间】2022-08-19

【文献类型】 实证数据

【DOI】 10.1016/j.frl.2022.103081

【Author】 Baranwal, Gaurav Kumar, Dinesh Vidyarthi, Deo Prakash

【Source】FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE

【影响因子】7.307

【主题类别】

区块链技术-协同技术-边缘计算

【Abstract】The recent emergence of Industrial Internet of Things (IIoT), a novel subset of Internet of Things (IoT), integrates sensors and intelligent devices with industry applications to develop a self-organizing system for creating enhanced and adaptive industrial environments. IIoT devices usually have limited computational power, while IIoT applications are mostly mission-critical and/or safety-critical. Therefore, these applications need computing resources that are closer to the devices. This work proposes a decentralized auction-based resource allocation mechanism in edge computing enabled IIoT using consortium blockchain and smart contract that shelves the involvement of a trusted third party, i.e. auctioneer. Various quality parameters are considered during resource allocation to address the mobility of both IIoT devices and edge resources, heterogeneity of edge servers, false assurance of edge servers, reliability, delay in results, and responsiveness of edge servers. Utility functions for IIoT devices are designed to calculate their degree of satisfaction depending on various quality parameters. The proposed blockchain-aided auction based mechanism fulfills various auction-based resource allocation requirements such as seal bidding, no impersonation of the bidder, no modification in any bid or result of allocation by the auctioneer, and proof for winners. The proposed work encourages edge servers for truthful bidding and furnishes the allocation results in polynomial time. Performance evaluation of the proposed model exhibits encouraging results. (C) 2022 Elsevier B.V. All rights reserved.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; Auction; Edge computing; Industrial internet of things (IIoT); Utility; Resource allocation

【发表时间】2022

【收录时间】2022-08-19

【文献类型】 理论模型

【DOI】 10.1016/j.future.2022.05.007

【Author】 Huang, Shiyong Yang, Xin He, Langyue Hao, Xiaohan Ren, Wei

【Source】COMPUTER STANDARDS & INTERFACES

【影响因子】3.721

【主题类别】

区块链治理-技术治理-异常/非法交易识别

【Abstract】In online shopping, consumers often rely on information such as sales, reviews or ratings to inform their decision making. Such preferences or user behaviors can be subjected to manipulation. For example, a merchant can artificially inflate product sales by paying a click farm. Specifically, the click farm will recruit a number of non-genuine buyers to purchase the products. After the purchases have been made, the buyers will either refund the product minus the commission or no product exchange actually takes place and these buyers are paid a commission for their role in the activity. Increasingly due to the popularity of cryptocurrency, such as bitcoin, such payment mechanisms are used in such activities. Hence, in this paper, we seek to detect click farm transactions using cryptocurrency. Specifically, we propose three models to capture click farm operations, and based on the models we design three algorithms to detect anonymous click farm transactions. Extensive analysis demonstrates that our model achieves a high accuracy rate in detecting anonymous click farm transactions, without incurring expensive computational costs.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Cryptocurrency; Click farm; Anonymous; Blockchain

【发表时间】2023

【收录时间】2022-08-19

【文献类型】 实验仿真

【DOI】 10.1016/j.csi.2022.103669

【Author】 Song, Wanshui Zhang, Wenyin Wang, Jiuru Zhai, Linbo Jiang, Pengkun Huang, Shanyun Li, Bei

【Source】TSINGHUA SCIENCE AND TECHNOLOGY

【影响因子】3.515

【主题类别】

区块链治理-技术治理-交易可视化

【Abstract】Cryptocurrency based on blockchain technology has gradually become a choice for people to invest in, and several users have participated in the accumulation of massive transaction data. Complete transaction records in blockchains and the openness of data provide researchers with opportunities to mine and analyze data in blockchains. Network modeling and analysis of cryptocurrency transaction records are common methods in blockchain data analysis. The analysis of attribute graphs can provide insights into various economic indicators, illegal activities, and general Internet security, among others. Accordingly, this article aims to summarize and analyze the literature on cryptocurrency transaction data from the perspective of complex networks. To provide systematic guidance for researchers, we put forward a blockchain data analysis framework based on the introduction of the relevant background and reviewed the work from five aspects: blockchain data model, data acquisition on blockchains, existing analysis tools, available insights, and common analysis methods. For each aspect, we introduce the research problems, summarize the methods, and discuss the results and findings. Finally, we present future research points and several open questions in the study of cryptocurrency transaction networks.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】blockchain; cryptocurrency; transaction record; complex network; data analysis; data mining

【发表时间】2023

【收录时间】2022-08-19

【文献类型】 综述

【DOI】 10.26599/TST.2021.9010080

【Author】 Du, Ruizhong Ma, Caixia Li, Mingyue

【Source】TSINGHUA SCIENCE AND TECHNOLOGY

【影响因子】3.515

【主题类别】

区块链技术-协同技术-隐私计算

【Abstract】While users enjoy the convenience of data outsourcing in the cloud, they also face the risks of data modification and private information leakage. Searchable encryption technology can perform keyword searches over encrypted data while protecting their privacy and guaranteeing the integrity of the data by verifying the search results. However, some associated problems are still encountered, such as the low efficiency of verification and uncontrollable query results. Accordingly, this paper proposes a Privacy-Preserving Searchable Encryption (PPSE) scheme based on public and private blockchains. First, we store an encrypted index in a private blockchain while outsourcing corresponding encrypted documents to a public blockchain. The encrypted documents are located through the encrypted index. This method can reduce the storage overhead on the blockchains, and improve the efficiency of transaction execution and the security of stored data. Moreover, we adopt a smart contract to introduce a secondary verification access control mechanism and restrict data users' access to the private blockchain through authorization for the purpose of guaranteeing data privacy and the correctness of access control verification. Finally, the security analysis and experimental results indicate that compared with existing schemes, the proposed scheme can not only improve the security of encrypted data but also guarantee the efficiency of the query.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】private blockchain; public blockchain; access control; forward privacy; backward privacy

【发表时间】2023

【收录时间】2022-08-19

【文献类型】 理论模型

【DOI】 10.26599/TST.2021.9010070

【Author】 Yang, Xiaodong Tian, Tian Wang, Jiaqi Wang, Caifen

【Source】PEER-TO-PEER NETWORKING AND APPLICATIONS CCF-C

【影响因子】3.488

【主题类别】

区块链应用-实体经济-医疗领域

【Abstract】Nowadays, with the rapid development of smart health-care based on electronic health records, it remarkably supplies a promising way to alleviate the shortage of medical resources and improve medical efficiency. Meanwhile, data in electronic health records are sensitive and require protection against unauthorized access. However, most previous electronic health records sharing schemes are vulnerable to data leakage and forgery. To address these challenging problems, we propose a new electronic health record sharing scheme. We use the certificateless cryptosystem to encrypt keywords, which solves the certificate management problem and key escrow problem. The proposed scheme also supports multi-user search and the user authorization table can be used to modify access permissions of medical data users. Besides, the root values of the Merkle trees are written into the blockchain to ensure anti-tampering, integrity and traceability of search results. Moreover, a smart contract enables a fair transaction between cloud server provider and medical data users without trusted third parties. We prove that the proposed scheme is secure against the keyword guessing attack in the random oracle model. Furthermore, performance analysis demonstrates that our scheme has greater computational efficiency compared with other related schemes.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; Certificateless cryptosystem; Electronic health record sharing; Multi-user; Searchable encryption

【发表时间】

【收录时间】2022-08-19

【文献类型】 实验仿真

【DOI】 10.1007/s12083-022-01345-0

【Author】 Odoom, Justice Huang, Xiaofang Danso, Samuel Akwasi

【Source】SOFTWARE-PRACTICE & EXPERIENCE

【影响因子】3.200

【主题类别】

区块链应用-实体经济-医疗领域

【Abstract】COVID-19 pandemic undoubtedly lingers on and has brought unprecedented changes globally including travel arrangements. Blockchain-based solutions have been proposed to aid travel amid the pandemic hap. Presently, extant solutions are country or regional-based, downplay privacy, non-responsive, often impractical, and come with blockchain-related complexities presenting technological hurdle for travelers. We therefore propose a solution namely, Borderless to foster global travel allowing travelers and countries collaboratively engage in a secure adaptive proof protocol dubbed Proof-of-COVID-19 status a number of arbitrary statements to ascertain the fact that the traveler poses no danger irrespective of the country located. As far as we know, this is first of its kind. Borderless is implemented as a decentralized application leveraging blockchain as a trust anchor and decentralized storage technology. Security analysis and evaluation are performed proving security, privacy-preservation, and cost-effectiveness along with implementation envisioning it as a blueprint to facilitate cross-border travel during the present and future pandemics. Our experimental results show it takes less than 60 and 3 s to onboard users and perform proof verification respectively attesting to real usability scenarios along with the traits of arbitrary proofs to aid responsiveness to the dynamics of pandemics and blockchain abstraction from travelers.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】blockchain; coronavirus; decentralized application; electronic health records; smart contract; travel

【发表时间】

【收录时间】2022-08-19

【文献类型】 理论模型

【DOI】 10.1002/spe.3126

【Author】 Oktian, Yustus Eko Stanley, Brian Lee, Sang-Gon

【Source】SYMMETRY-BASEL

【影响因子】2.940

【主题类别】

区块链技术-协同技术-联邦学习

【Abstract】Federated learning enables multiple users to collaboratively train a global model using the users' private data on users' local machines. This way, users are not required to share their training data with other parties, maintaining user privacy; however, the vanilla federated learning proposal is mainly assumed to be run in a trusted environment, while the actual implementation of federated learning is expected to be performed in untrusted domains. This paper aims to use blockchain as a trusted federated learning platform to realize the missing "running on untrusted domain" requirement. First, we investigate vanilla federate learning issues such as client's low motivation, client dropouts, model poisoning, model stealing, and unauthorized access. From those issues, we design building block solutions such as incentive mechanism, reputation system, peer-reviewed model, commitment hash, and model encryption. We then construct the full-fledged blockchain-based federated learning protocol, including client registration, training, aggregation, and reward distribution. Our evaluations show that the proposed solutions made federated learning more reliable. Moreover, the proposed system can motivate participants to be honest and perform best-effort training to obtain higher rewards while punishing malicious behaviors. Hence, running federated learning in an untrusted environment becomes possible.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】federated learning; artificial intelligence; blockchain; smart contract

【发表时间】2022

【收录时间】2022-08-19

【文献类型】 理论模型

【DOI】 10.3390/sym14071407

【Author】 Moulahi, Tarek Jabbar, Rateb Alabdulatif, Abdulatif Abbas, Sidra El Khediri, Salim Zidi, Salah Rizwan, Muhammad

【Source】EXPERT SYSTEMS CCF-C

【影响因子】2.812

【主题类别】

区块链技术-协同技术-联邦学习

【Abstract】Artificial intelligence (AI) techniques implemented at a large scale in intelligent transport systems (ITS), have considerably enhanced the vehicles' autonomous behaviour in making independent decisions about cyber threats, attacks, and faults. While, AI techniques are based on data sharing among the vehicles, it is important to note that sensitive data cannot be shared. Thus, federated learning (FL) has been implemented to protect privacy in vehicles. On the other hand, the integrity of data and the safety of aggregation are ensured by using blockchain technology. This paper applied classification approaches to VANET and ITS cyber-threats detection at the vehicle. Subsequently, by using blockchain and by applying an aggregation strategy to different models, models from the previous step were uploaded in a smart contract. Lastly, we returned the updated models to the vehicles. Furthermore, we conducted an experimental study to measure the effectiveness of the proposed prototype. In this paper, the VeReMi data set was distributed in a balanced manner into five parts in the experimental study. Thus, classification techniques were executed by each vehicle separately, and models were generated. Upon the aggregation of the models in blockchain, they were returned to the vehicles. Lastly, the vehicles updated their decision functions and accessed the precision and accuracy of cyber-threat detection. The results indicated that the precision and accuracy decreased by 7.1% on average with comparable F1-score and recall. Our solution ensures the privacy preservation of vehicles whereas blockchain guarantees the safety of aggregation technique and low gas consumption.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】blockchain technology; cyberthreat; data privacy; federated learning; intelligent transport systems; VANET

【发表时间】

【收录时间】2022-08-19

【文献类型】 实验仿真

【DOI】 10.1111/exsy.13103

【Author】 Pericas-Gornals, Rosa Mut-Puigserver, Macia Payeras-Capella, M. Magdalena

【Source】INTERNATIONAL JOURNAL OF INFORMATION SECURITY

【影响因子】2.427

【主题类别】

区块链应用-实体经济-医疗领域

【Abstract】As a result of the declaration of the COVID-19 pandemic, several proposals of blockchain-based solutions for digital COVID-19 certificates have been presented. Considering that health data have high privacy requirements, a health data management system must fulfil several strict privacy and security requirements. On the one hand, confidentiality of the medical data must be assured, being the data owner (the patient) the actor that maintain control over the privacy of their certificates. On the other hand, the entities involved in the generation and validation of certificates must be supervised by a regulatory authority. This set of requirements are generally not achieved together in previous proposals. Moreover, it is required that a digital COVID-19 certificate management protocol provides an easy verification process and also strongly avoid the risk of forgery. In this paper we present the design and implementation of a protocol to manage digital COVID-19 certificates where individual users decide how to share their private data in a hierarchical system. In order to achieve this, we put together two different technologies: the use of a proxy re-encryption (PRE) service in conjunction with a blockchain-based protocol. Additionally, our protocol introduces an authority to control and regulate the centers that can generate digital COVID-19 certificates and offers two kinds of validation of certificates for registered and non-registered verification entities. Therefore, the paper achieves all the requirements, that is, data sovereignty, high privacy, forgery avoidance, regulation of entities, security and easy verification.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Health data; Blockchain; Privacy; Smart contract; Re-encryption; Self-sovereignty

【发表时间】

【收录时间】2022-08-19

【文献类型】 理论模型

【DOI】 10.1007/s10207-022-00598-3

【Author】 Niya, Sina Rafati Bachmann, Simon Brasser, Claudio Bucher, Michael Spielmann, Nicolas Stiller, Burkhard

【Source】JOURNAL OF NETWORK AND SYSTEMS MANAGEMENT

【影响因子】2.198

【主题类别】

区块链技术-核心技术-智能合约

【Abstract】Event tickets being sold in their electronic instances are subject to counterfeiting, profiteering, and black markets. Therefore, suitable service management mechanisms are required to overcome such deficits. This work designs, develops, and evaluates the approach of a Decentralized Ticketing platform-called DeTi-for managing the distribution of electronic event tickets and "regulating" the aftermarket. DeTi offers a dedicated service management functionality by operating through Smart Contracts of Ethereum, such that users can verify tickets' validity for a given event. Especially, a new mechanism for users to detect fraudulent events is introduced, too. The evaluation performed indicates that DeTi invalidates or validates tickets efficiently via its decentralized and BC-based service management approach. By securing technically a set of underlying processes, DeTi obviates forging, replication, and scalping of tickets, allowing for a well-managed resale ecosystem of tickets based on and limited to the organizers' initial pricing.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; Smart contracts; Decentralized applications; Decentralized ticketing; Distributed service management

【发表时间】2022

【收录时间】2022-08-19

【文献类型】 理论模型

【DOI】 10.1007/s10922-022-09675-3

【Author】 Gundaboina, Lokesh Badotra, Sumit Bhatia, Tarandeep Kaur Sharma, Kulbhushan Mehmood, Gulzar Fayaz, Muhammad Khan, Inam Ullah

【Source】SECURITY AND COMMUNICATION NETWORKS CCF-C

【影响因子】1.968

【主题类别】

区块链应用-实体经济-能源领域

【Abstract】Cryptocurrency mining and blockchain technology using renewable energy as the main electricity source has gained attention for sustainable development in financial areas. However, very few studies have been reported concerning the power usage of cryptocurrencies using renewable energy. In this article, we report the effect of overclocking and undervolting on power usage and the hash rate for mining dogecoin with solar energy as renewable energy. The mining rig used in this work consists of different graphics processing units (GPUs) and non-LHR (lite hash rate) cards. The UnMineable software has been used for mining dogecoin as well as for wallet integration. The results indicate that mining dogecoin with solar energy as renewable energy consumes 2000 Watts power with overclocking and 1700 Watts power with undervolting technique. This work implicates the potential future of crypto-mining with renewable energy and the hardware configuration associated with it, which is expected to reduce e-waste and improve sustainable development. To reduce the e-waste and high electricity consumption, we have introduced two important techniques named GPU optimization and use of renewable energy for mining, which helps the miners to reduce the e-waste and electricity consumption significantly at the same time getting most out of the GPU by not having any impact on the environment.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】

【发表时间】2022

【收录时间】2022-08-19

【文献类型】 理论模型

【DOI】 10.1155/2022/4808703

【Author】 Xu, Ruifeng Guan, E.

【Source】APPLIED ECONOMICS

【影响因子】1.916

【主题类别】

区块链治理-市场治理-市场分析

【Abstract】Although the importance of digital economy development has gradually been attached, blockchain technology has been widely questioned in China because it originated from bitcoin, which has been abandoned in China. Can blockchain innovation promote total factor productivity? Based on the blockchain patent data of Chinese-listed firms from 2012 to 2020, we show that blockchain innovation activities can improve the total factor productivity (TFP) of enterprises and verify its robustness using instrumental variable approach, system GMM and Heckman's two-step selection method. Results of mediation effect model show that enterprises' blockchain innovation activities mainly improve TFP through three channels: alleviating financing constraints, reducing supply chain concentration and inefficient investment. Heterogeneity analysis shows that electronic digital data processing blockchain patents have the highest practical value, while financial blockchain innovation inhibits the improvement of TFP in China. Blockchain innovation can bring positive effects on the TFP of manufacturing enterprises and leasing and business service enterprises. The increase in TFP of leasing and business service enterprises brought by blockchain innovation is nearly 70 times that of the baseline regression. We further provide blockchain innovation development suggestions for Chinese government based on these conclusions.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】Blockchain; total factor productivity; financing constraints; supply chain; inefficient investment

【发表时间】

【收录时间】2022-08-19

【文献类型】 实证数据

【DOI】 10.1080/00036846.2022.2093830

【Author】 Ma, Jue

【Source】SCIENTIFIC PROGRAMMING

【影响因子】1.672

【主题类别】

区块链技术-核心技术-共识机制

【Abstract】To improve the performance for distributed blockchain system, a novel and effective consensus algorithm is designed in this paper. It firstly constructs a more random additive constant through the generation matrix of the error correction code and uses the value of the hash entropy to prove that the constructed hash function can meet the requirements of high throughput and fast consensus in performance. In addition, a distributed consensus coordination service system is used in the blockchain system to realize the synchronization of metadata and ensure the consistency of block data, configuration information, and transaction information. The experiment results show that our proposed strategy can reduce the waste of computing resources, increase the block generation speed, and ensure the fairness of nodes participating in the competition, which is an effective solution to ensure the stable operation of the blockchain system.

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【Keywords】

【发表时间】2021

【收录时间】2022-08-19

【文献类型】 理论模型

【DOI】 10.1155/2021/2030810

【Author】 Huang, Zhonglu Qin, Gengsheng

【Source】COMPUTATIONAL STATISTICS

【影响因子】1.405

【主题类别】

区块链治理-市场治理-数字货币

【Abstract】Correlation coefficients measure the association between two random variables. In circumstances in which the typically-used Pearson correlation coefficient does not suffice, the Kendall rank correlation coefficient is routinely used as an alternative measure. In this paper, using the influence function of the Kendall rank correlation coefficient, we develop a normal approximation-based confidence interval and an empirical likelihood-based confidence interval for the Kendall rank correlation coefficient. Simulation studies are conducted to show their good finite sample properties and robustness. We apply the proposed methods to a real dataset on Bitcoin financial data.

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【Keywords】Empirical likelihood; Influence function; Kendall correlation coefficient

【发表时间】

【收录时间】2022-08-19

【文献类型】 实证数据

【DOI】 10.1007/s00180-022-01267-8

【Author】 Igboanusi, Ikechi Saviour Allwinnaldo, Allwinnaldo Alief, Revin Naufal Ansori, Muhammad Rasyid Redha Lee, Jae-Min Kim, Dong-Seong

【Source】IET COMMUNICATIONS CCF-C

【影响因子】1.345

【主题类别】

区块链技术-协同技术-物联网

【Abstract】This work proposes smart auto mining (SAM) for resource-efficient mining in a blockchain network. The SAM algorithm stops the miners when there is zero pending transaction and starts the miner when there is at least one transaction sent into the network. The miner listens to the network to identify when a transaction has been made by a node. The model does not need any instruction to start mining when there is a pending transaction. The results show that a private Ethereum network produced over 300% more blocks in a 12-h period with 599,950 transactions compared to when SAM is applied. The proposed algorithm is also able to reduce the storage used by the chaindata by 14%. The overhead of mining is decreased by reducing the production of empty blocks in the network which saves energy, storage space, network bandwidth and computational complexity.

你可以尝试使用大模型来生成摘要 立即生成

【Keywords】

【发表时间】

【收录时间】2022-08-19

【文献类型】 理论模型

【DOI】 10.1049/cmu2.12465