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857 results · page 21 of 36
Nadia Arfaoui, Muhammad Abubakr Naeem, Sabri Boubaker, Nawazish Mirza · 5 authors
No abstract is available for this record.
Hyungjin Ko, Jaewook Lee
This study conducted the econometric analysis to test the hedge and safe haven effects of Non-fungible Tokens (NFTs) on major traditional asset markets in the global financial system. We investigate the estimates of these effects in times of extreme market conditions and the COVID-19 crisis. Our empirical results show evidence of the hedge and safe haven properties of NFTs, confirming two main findings: (i) NFTs act as a hedge and safe haven for particular stock markets and oil, bond, and USD indices, even though the degree of effects varies across asset classes; and (ii) NFTs also serve as sheltering facilities for the markets mentioned above, with more substantial safe haven benefits for bond and USD indices during the recent pandemic crisis.
Nicolás Malz, Felipe Corral Montoya, Paola Yanguas-Parra, Pao-Yu Oei
Juxtaposing China’s current situation and policies toward coal and renewables at home and abroad, we argue that China remains in a paradoxical state of carbon lock-in. We analyze the techno-economic, institutional and political factors that contribute to China’s coal-related policies following a novel approach that blends different theories and frameworks to establish an interdisciplinary dialogue between various strands of research that were hitherto unconnected. This is accomplished by applying a political economy framework through the lens of techno-institutional carbon lock-in theory in three case studies encompassing China itself, as well as China’s climate and energy policy abroad in Pakistan and Mozambique. The article draws four major conclusions about China’s energy paradox: 1) An imperative for economic growth lies at the heart of the Chinese governance system’s incentive structure, which has resulted in a coal-based energy and industrial policy. 2) China’s government should use the experimental, decentralized nature of its regionally-decentralized regime and energy sector to their advantage by promoting disruption rather than incumbency. 3) To address the structural and institutional deficiencies that maintain or even strengthen carbon lock-in, energy governance should be shaped around the primary challenge of strengthening renewable energy advocates throughout all levels of government. 4) The discussion of coal financing abroad must now go beyond the discontinuation of new projects; the building of alternative cleaner projects should be considered and the ones in progress should be halted.
Jinxuan Song, Xu Yan
At present, environmental and competitive pressures urge enterprises to engage in research and development (R&D) of green products, and a green supply chain has become the main trend in the sustainable development of enterprises. This study analyzes the optimal operation decisions of a green supply chain for two manufacturers under different competitive and cooperative relationships, considering factors such as government subsidies, consumer green preferences, and the impact of the green information trust. The results show that government subsidies can lead to higher social welfare when manufacturers have a cooperative relationship, but the optimal choice of subsidies (for R&D costs or product production costs) depends on the level of competition and the difficulty of R&D. For the manufacturers, the optimal choice of R&D strategy (individual or joint) and the use of blockchain technology also depends on the level of difficulty of R&D and the type of government subsidies. Overall, this study highlights the importance of considering various factors when making decisions in a green supply chain to achieve the best outcomes for all parties involved.
Parikshit Joshi, Vijaishri Tewari, Shailendra Kumar, Anshu Singh
Purpose Blockchain technology (BCT) is one of the latest disruptive innovations, brought along with-it immense scope of diverse applications contributing towards sustainable development (SD). The consistent increase in the publications reveal that the application of BCT for SD has become popular among researchers and practitioners in past few years, in turn, urged for a systematic literature review (SLR) to get an insight into the research journey travelled so far and setting directions for future research in this area. Therefore, this study aims to identify, map and synthesize the available literature on application of BCT for SD. Design/methodology/approach The automatic and manual search resulted into 1,277 studies from Scopus and Web of Science database. Further applying inclusion and exclusion criterion resulted in bringing out total of 157 studies, which were termed as primary studies. Based on the results of descriptive analysis, conducted through Bibliometric and VOSviewer software, the characteristics of BCT and its key capabilities, contributing towards shaping the recent SD literature, were critically examined. Identified research themes for clustering primary studies were aligned with United Nations Sustainability Development Goals (UNSDG). A mind-map was also prepared on the basis of thematic classification of primary studies. Findings The research themes “business practice and economic sustainability”, “agriculture and food security” and “business practice and environment sustainability” were found to be the focal points of scholarly attention. Synthesis and analysis of primary studies resulted into classification of research gaps under four categories – theoretical foundation, methodological limitation, research themes and technology implementation challenges. The study was concluded by sensitizing and sanitizing the concrete research questions for future research. Research limitations/implications The research findings shall be a roadmap for research scholars, academicians and practitioners to comprehend the present state of knowledge in the domain of “BCT application for SD” and decide upon adopting the future course of action to attain the UNSDGs by the year 2030. Originality/value To the best of the authors’ knowledge, the current study is the first attempt in its own sense to analyse and synthesize the available literature on “attaining SD through BCT” using SLR approach.
Rabeh Khalfaoui, Shawkat Hammoudeh, Mohd Ziaur Rehman
No abstract is available for this record.
Heyang Sun, Tong Li, Chao Yang, Yingli Zhang · 8 authors
With the proposal of the two-carbon goal, energy conservation and emission reduction will become the focus of China’s energy system in the future for a long time to come. The establishment of a complete and efficient carbon traceability system will play an important role in promoting carbon emission reduction in the power system. Based on blockchain, this paper uses the consensus mechanism, time stamp, decentralization features, smart contract and other functions of blockchain, combined with the power flow calculation and the characteristics related to carbon emission and active power of the generator set, to obtain the corresponding carbon emission intensity of the generator set and carbon flow rate. It realizes the calculation and tracing of carbon emission flow in power distribution network and ensures the reliability of carbon traceability results, high efficiency of information transmission and transparency of traceability process. Firstly, based on the characteristics of the master-slave multi-chain structure in the consortium chain, In this paper, high-voltage substation nodes are the main chain nodes, and carbon flow tracing and calculation are carried out for the associated low-voltage substations, and the information of high-voltage or low-voltage substation nodes is guaranteed to be tamper-free through the hash anchoring method. The master-slave multi-chain model adopted in this paper is that the main chain adopts EA-DPoS (Evaluation and Agent-DPoS) algorithm, the slave chain adopts improved PBFT algorithm, and the comprehensive evaluation and reward and punishment mechanism are introduced to complete the consensus. Secondly, considering the security requirements of the power system data and the fact that some nodes of the distribution network do not have powerful computing resources comparable to those of the power grid company or major nodes, this paper encrypts and decrypts relevant data in the main chain node by combining the smart contract of blockchain. Meanwhile, cloud service providers with computing resources are responsible for generator power distribution combined with power flow calculation and carbon emission intensity calculation of the generator set. The power grid company adopts the cloud computing framework based on the double check mechanism to calculate the carbon flow rate while verifying the correct calculation results of the cloud service provider, and finally realizes the safe and accurate tracing of the carbon flow of the distribution network.
Xiaoping Xu, Luling Yan, Tsan‐Ming Choi, T.C.E. Cheng
Blockchain technology has been widely used in many industries. One current application is in remanufacturing. In this paper we consider the combination of remanufacturing and blockchain, and model a supply chain composed of a manufacturer, a third-party firm, and an online platform. Among them, the manufacturer faces the cap-and-trade regulation and adopts blockchain to record the information on the used products and then remanufactures products. The platform has the power to expand the potential market size and can operate in the marketplace or reselling mode. The third-party firm collects used products for the manufacturer. We conduct a Stackelberg game analysis and obtain the following major findings: First, the optimal production quantities and optimal collection rates with and without blockchain in the marketplace and reselling modes increase with the allocated cap and platform-enabled power. Second, in the reselling or marketplace mode, the manufacturer should not adopt blockchain if the emissions intensity is low; otherwise, it should adopt blockchain. Third, selecting the reselling (marketplace) mode is more profitable for the manufacturer if the platform-enabled power is low (high). Fourth, for quantity coordination, the reselling mode under the wholesale price contract can always coordinate the manufacturer and platform, and the manufacturer, online platform, and third-party firm. However, the marketplace mode with a commission rate can only coordinate the manufacturer, online platform, and third-party firm. For social welfare coordination, the manufacturer, online platform, and third-party firm can achieve coordination in the marketplace or reselling mode. Finally, extending the work to consider the cross-channel effect, we find that the major findings for both quantity coordination and social welfare coordination in the reselling and marketplace modes still hold.
Ephraïm Clark, Amine Lahiani, Salma Mefteh‐Wali
No abstract is available for this record.
Ayça KARA, Erhan Demi̇reli̇
Çalışmanın amacı kripto para piyasasına öncülük eden Bitcoin ile seçilmiş altcoinler arasındaki ilişkinin ve nedenselliğin varlığını tespit ederek yatırımcıların kararlarına ışık tutmaktır. Bu amaç doğrultusunda çalışmada, Bitcoin (BTC) ile Ethereum(ETH), Binance Coin (BNB), Cardano (ADA) , Litecoin (LTC), Tron (TRX), Stellar (XLM), IOTA altcoinlerinin arasındaki eşbütünleşme ve nedensellik ilişkisi araştırılmıştır. Uzun dönemli ilişkinin var olup olmadığı Engle Granger Eşbütünleşme yöntemiyle, kısa dönemli ilişkinin var olup olmadığı Sıradan En Küçük Kareler Yöntemiyle (OLS), nedensellik ilişkisinin var olup olmadığı ise Toda Yamamato Nedensellik yöntemiyle test edilmiştir. Çalışma kapsamında veri seti olarak 14.06.2018-01.12.2021 tarihleri arasında kripto para birimlerinin günlük kapanış fiyatları kullanılmıştır. Araştırma sonucunda Engle Granger Testine göre BTC ile seçilen altcoinler arasında uzun dönemli eşbütünleşme ilişkisi bulunamamıştır. OLS testine göre bağımsız ve bağımlı değişkenler arasında kısa dönemli ilişkinin var olduğu sonucuna ulaşılmıştır. Toda Yamamato Testine göre BTC’den ADA, ETH, IOTA, TRX, XLM alt coinlerine doğru granger nedensellik olduğu, BTC’den BNB ve LTC coinlerine doğru granger nedensellik olmadığı ve BTC’den etkilenmedikleri sonucuna ulaşılmıştır.
Blanka Łęt, Konrad Sobański, Wojciech Świder, Katarzyna Włosik
Stablecoins are a relatively recent phenomenon in the cryptocurrency market, gaining prominence particularly since 2018. These digital currencies are usually pegged to nonvolatile underlying assets, offering a solution to the problem of the high price volatility of nonstable cryptocurrencies such as Bitcoin. Therefore, stablecoins seem attractive to participants in the cryptocurrency market, especially in times of turmoil. This paper aims to measure the spillover effect of shocks in volatile cryptocurrencies (Bitcoin, Ethereum, Litecoin and the Cryptocurrencies Index) on the activity of investors in the stablecoin market (Tether, USD Coin, Binance USD, DAI, Paxos, Huobi USD, and Gemini USD). Using the spectral representation of variance decomposition, the paper measures the strength of the spillover effect and investigates whether the cryptocurrency market processes information rapidly or slowly. The results suggest that shocks in the volatile cryptocurrency market moderately drive the popularity of stablecoins. The spillover effects on stablecoin popularity are short-lived, as they are observed mostly within up to 3 days of the shock. The findings indicate that investors use stablecoins as safe haven assets after bad news in the volatile cryptocurrency market; however, they react more strongly to news related to individual cryptocurrencies and not so intensively to the general sentiment in the cryptocurrency market. Investors with larger capital are more resistant to shocks.
Lai-Ying Leong, Jun-Jie Hew, Voon‐Hsien Lee, Garry Wei-Han Tan · 6 authors
Purpose Though Blockchain has been studied in numerous contexts, the understanding of the impacts of Blockchain in achieving competitive advantages remains unexplored. Many industries, organizations and firms are still in a “wait and see” mode. This study aims at examining the effects of the technological, organizational and environmental factors drawn from the TOE framework in generating competitive advantage. Design/methodology/approach A dual-staged deep learning structural equation modeling artificial neural network analysis was conducted on 211 samples of small and medium enterprises. Four neural network models were engaged to rank the normalized importance of each of the predictor variables. Findings The research model can expound 57.99 and 47.33% of the variance in Blockchain adoption and competitive advantage correspondingly. The study successfully identified nonlinear relationships. The theoretical and managerial contributions are useful to scholars and practitioners such as industrial players, investors, chief executive officers (CEOs), managers, decision-makers and other stakeholders that intend to use Blockchain technology. Originality/value Unlike the existing technological–organizational–environmental (TOE) framework that uses a linear model and theoretically assumes that all relationships are linear, this has been the first study, which has successfully validated that there exist nonlinear relationships in the TOE framework. Further, very little has been theorized on the impacts of Blockchain adoption on competitive advantage, especially in the context of SMEs. Therefore, this study is the first one to provide the necessary theoretical foundation that may further extend the current knowledge of Blockchain technology adoption and its impacts.
Aviral Kumar Tiwari, Emmanuel Joel Aikins Abakah, Mohd Ziaur Rehman, Chi‐Chuan Lee
This paper examines the time-varying spillover effects and connectedness of the Bitcoin price with clean and renewable energy stocks using the quantile VAR framework. We use daily price indices spanning from 1 January 2014, to 18 October 2022. Before probing the quantile spillover effects between the markets examined, we first examine the mean-based averaged connectedness. These results indicate that Bitcoin receives more shocks from markets in the system than it transmits. Additionally, Bitcoin emerges as a net receiver of return shocks with index evolution among the markets examined, driven mainly by own shocks. Shifting to the results obtained using the QVAR approach, evidence reveals that Bitcoin acts as a net recipient of shocks under different quantiles in the system. In addition, Bitcoin returns strongly correlate with renewable energy stock returns under extreme events. We also confirm the dominance of renewable energy markets over Bitcoin and that the magnitude of their connectedness is time and event dependent. These findings confirm the diversification potential and safe-haven properties of Bitcoin for portfolio investors.
Jae Yeon Sim, Kyungmyung Jang
This research makes an initial attempt to analyse the effects of blockchain patents on a firm’s financial performance. Blockchain technology has received increased attention since bitcoin prices skyrocketed in 2016, and applications for blockchain patents rapidly increased thereafter. Prior studies have documented that blockchain innovation could add economic value to firms, but without robust empirical analyses. Therefore, this study provides the first empirical approach to determine the effect of blockchain patents on a firm’s financial performance. We find that a firm’s blockchain patents are positively associated with firm value and firm performance. Moreover, the association between a firm’s blockchain patents and firm value or performance is more pronounced in markets with higher competition. This study provides theoretical and practical implications. The empirical results of this study lend credence to the argument that blockchain patent contributes to real value creation. We also add to blockchain literature and extend the literature discussing environmental uncertainty. Moreover, this study suggests useful insights for firms that consider developing blockchain patents and implies the signalling effect of blockchain patent in the capital market.
Maaz Khan, Maaz Khan, Umar Nawaz Kayani, Mrestyal Khan · 7 authors
Across the globe, COVID-19 has disrupted the financial markets, making them more volatile. Thus, this paper examines the market volatility and asymmetric behavior of Bitcoin, EUR, S&P 500 index, Gold, Crude Oil, and Sugar during the COVID-19 pandemic. We applied the GARCH (1, 1), GJR-GARCH (1, 1), and EGARCH (1, 1) econometric models on the daily time series returns data ranging from 27 November 2018 to 15 June 2021. The empirical findings show a high level of volatility persistence in all the financial markets during the COVID-19 pandemic. Moreover, the Crude Oil and S&P 500 index shows significant positive asymmetric behavior during the pandemic. Apart from this, the results also reveal that EGARCH is the most appropriate model to capture the volatilities of the financial markets before the COVID-19 pandemic, whereas during the COVID-19 period and for the whole period, each GARCH family evenly models the volatile behavior of the six financial markets. This study provides financial investors and policymakers with useful insight into adopting effective strategies for constructing portfolios during crises in the future.
Qingjie Zhou, Panpan Zhu, Yinpeng Zhang
The uniqueness of this investigation lies in empirically testing and proving the contagion spillover of Bitcoin attention to carbon futures. Specifically, several models are adopted to investigate the explanatory and predictive abilities of Bitcoin attention to carbon futures. The results can be generalized as follows. First, Bitcoin attention Granger causes the variation of carbon futures. Second, Bitcoin attention shows a negative impact on carbon futures and an addition, an invert U-shaped connection exists. Third, the Bitcoin attention-based models can beat the commonly used historical average benchmark during out-of-sample forecasting both in statistical and economic levels. Fourth, we complete robustness checks to certify that the contagion spillover from Bitcoin attention to the pricing of carbon futures does exist. Finally, we prove the linear and non-linear impacts from Bitcoin attention to realized volatility of carbon futures. All the results prove that Bitcoin attention is an important pricing factor for carbon futures market.
Rabeh Khalfaoui, Salma Mefteh‐Wali, Buhari Doğan, Sudeshna Ghosh
No abstract is available for this record.
Meng Qin, Xiaojing Zhang, Yameng Li, Roxana Maria Badarcea
No abstract is available for this record.
Yogesh K. Dwivedi, Janarthanan Balakrishnan, Ronnie Das, Vincent Dutot
Blockchain research is significantly growing, yet the practical implementation of blockchain among retailers is still in the novice stage. This research aims to study the underlying factors that build resistance toward blockchain among retailers. The study has used innovation resistance theory (IRT) and the dynamic capability model to build the conceptual model. The study used a single cross-sectional design to investigate the proposed model with data collected from 360 retailers. The data were analysed using structural equation modelling estimated with the maximum likelihood model. The study's results showed that the threat of data ownership is the most significant factor that builds resistance towards blockchain, followed by threat severity. The results also showed that managerial capability and innovation capability could indirectly influence the relationship of IRT variables to resistance towards blockchain. The research extends the knowledge in the blockchain and contributes to relevant literature and business practitioners concerned with the results.
Fenglin Wu, Wensheng Wang, Ming-hui Wang
No abstract is available for this record.
Ljiljana Šobić
The pandemic that hit the world in 2020 has left unforeseeable consequences for the entire world economy. Bitcoin and gold are currencies whose prices have risen despite the crisis period. The results of the research, using Spearman's correlation coefficient, showed a statistically significant relationship between the movement of the price of bitcoin and the price of gold, which can be the basis for predicting the movement of the price of gold in the future, based on the movement of the price of bitcoin. A significant relationship was found between the movement of the bitcoin price and the increase in the number of users of bitcoin wallets, which clearly indicates an increase in the volume of trade in this currency and a wider representation of this currency. Theoretical research of behavioral economics has confirmed the hypothesis that when the financial system is exposed to a crisis, bitcoin and gold will have the characteristics of a "safe haven asset" which can be explained by the principles of behavioral economics.
H. Kalaiarasi, S. Kirubahari
No abstract is available for this record.
Julia M. Puaschunder
No abstract is available for this record.
Yiyun Sun
This paper studies the impact of financial decentralization on innovation activities in China based on the perspective of "finance-innovation". Using the data of China's industrial enterprises above designated size in 30 provinces from 2000 to 2019, this paper verifies the relationship between financial decentralization and innovation, reach conclusions that: Financial decentralization plays a significant role in promoting China's innovation ability; Financial decentralization has obvious regional heterogeneity, which has a positive effect on the improvement of innovation ability in the eastern and central regions with high economic development level, and a negative effect in the western regions.Meanwhile, it's found that the local financial decentralization is more obvious when the industrial structure is more perfect, and the financial decentralization contributes to the improvement of the local industrial structure.In the future, each region should choose the best degree of financial decentralization according to its different financial characteristics, and rationally use it to help local industrial innovation, to promote high-quality economic development.