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Research on the Impact of Digital Transformation on the Business Performance of Commercial Banks
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作者 zhengyu wu 《Proceedings of Business and Economic Studies》 2024年第3期227-235,共9页
Nowadays,with the development of the digital economy,commercial banks are actively conducting digital transformation.Studying the impact of the digital transformation of commercial banks on their operating performance... Nowadays,with the development of the digital economy,commercial banks are actively conducting digital transformation.Studying the impact of the digital transformation of commercial banks on their operating performance can help commercial banks form a stronger core competitiveness and promote high-quality financial development.Based on the above background,this article first describes the status and development of digital transformation and development of commercial banks,and secondly analyzes whether Chinese commercial banks’digital transformation is conducive to improving their operating performance.Thirdly,by selecting the data of the listed commercial banks in the ten years of 2012–2022,this article obtains the empirical testing of the digital transformation on different property rights.Finally,the higher the level of digitalization,the higher the digital level,the more significantly promotes the performance of commercial banks.Finally,based on the above analysis,this article puts forward feasibility opinions on commercial banks and related regulators. 展开更多
关键词 Commercial banks Digital transformation Business performance Property rights
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Tea Plantation Frost Damage Early Warning Using a Two-Fold Method for Temperature Prediction 被引量:1
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作者 zhengyu wu Kaiqiang Li +4 位作者 Lin Yuan Jingcheng Zhang Xianfeng Zhou Dongmei Chen Kaihua Wei 《Phyton-International Journal of Experimental Botany》 SCIE 2022年第10期2269-2282,共14页
As the source and main producing area of tea in the world, China has formed unique tea culture, and achievedremarkable economic benefits. However, frequent meteorological disasters, particularly low temperature frostd... As the source and main producing area of tea in the world, China has formed unique tea culture, and achievedremarkable economic benefits. However, frequent meteorological disasters, particularly low temperature frostdamage in late spring has seriously threatened the growth status of tea trees and caused quality and yield reduction of tea industry. Thus, timely and accurate early warning of frost damage occurrence in specific tea garden isvery important for tea plantation management and economic values. Aiming at the problems existing in currentmeteorological disaster forecasting methods, such as difficulty in obtaining massive meteorological data, largeamount of calculation for predicted models and incomplete information on frost damage occurrence, this paperproposed a two-fold algorithm for short-term and real-time prediction of temperature using field environmentaldata, and temperature trend results from a nearest local weather station for accurate frost damage occurrence leveldetermination, so as to achieve a specific tea garden frost damage occurrence prediction in a microclimate. Timeseries meteorological data collected from a small weather station was used for testing and parameterization of atwo-fold method, and another dataset acquired from Tea Experimental Base of Zhejiang University was furtherused to validate the capability of a two-fold model for frost damage forecasting. Results showed that comparedwith the results of autoregressive integrated moving average (ARIMA) and multiple linear regression (MLR),the proposed two-fold method using a second order Furrier fitting model and a K-Nearest Neighbor model(K = 3) with three days historical temperature data exhibited excellent accuracy for frost damage occurrence prediction on consideration of both model accuracy and computation (98.46% forecasted duration of frost damage,and 95.38% for forecasted temperature at the onset time). For field test in a tea garden, the proposed methodaccurately predicted three times frost damage occurrences, including onset time, duration and occurrence level.These results suggested the newly-proposed two-fold method was suitable for tea plantation frost damage occurrence forecasting. 展开更多
关键词 Short-term temperature prediction Fourier fitting K-Nearest Neighbor frost damage tea plantation
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China and Maritime Transformation: History,Strategy and Policy Implications
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作者 zhengyu wu 《Economic and Political Studies》 2013年第2期134-155,共22页
This paper seeks to place China’s ongoing maritime transformation in a larger context,and thereby clarify the strategic implications of its pursuit of maritime capabilities.It argues that,given their amphibious natur... This paper seeks to place China’s ongoing maritime transformation in a larger context,and thereby clarify the strategic implications of its pursuit of maritime capabilities.It argues that,given their amphibious nature,rimland powers are bound to encounter more challenges in the pursuit of maritime transformation,and more importantly,such pursuits easily backfire and cause undesirable ramifications.This paper examines the underlying mechanism which led to the failed maritime transformation of rimland powers in modern history.Then,based on the strategic lessons from modern history,it examines the strategic challenges concomitant with China’s pursuit of maritime capabilities,and contends that,if China hopes to escape similar fate,it has to pay serious attention to three strategic issues. 展开更多
关键词 maritime transformation rimland sea power geostrategy China
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