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学者姓名：孙秋碧
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Abstract ：
基于中国2011—2019年201个地级以上城市面板数据，运用双固定效应模型和门槛效应模型研究数字金融发展对产业结构升级的作用效果。研究发现：数字金融综合指数及三个分指数均对城市产业结构升级具有助力作用；数字金融发展对城市产业结构升级的促进作用存在时空异质性，促进作用在高经济发展水平地区和低城市化水平地区更大；数字金融发展对城市产业结构升级的影响存在门槛效应。因此，要不断发展城市数字金融，注意城市化水平对产业结构升级的异质性影响，及时调整相关政策，以升级城市产业结构。
Keyword ：
产业结构升级 产业结构升级 固定效应模型 固定效应模型 异质性 异质性 数字金融 数字金融 门槛效应 门槛效应
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| GB/T 7714 | 焦帅涛 , 孙秋碧 . 数字金融发展与产业结构升级——基于城市面板数据的实证研究 [J]. | 福建江夏学院学报 , 2022 , 12 (01) : 29-37 . |
| MLA | 焦帅涛 等. "数字金融发展与产业结构升级——基于城市面板数据的实证研究" . | 福建江夏学院学报 12 . 01 (2022) : 29-37 . |
| APA | 焦帅涛 , 孙秋碧 . 数字金融发展与产业结构升级——基于城市面板数据的实证研究 . | 福建江夏学院学报 , 2022 , 12 (01) , 29-37 . |
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为对我国数字经济发展进行测度,并对其影响因素进行分析,本文首先基于2013—2018年省际面板数据,从数字化基础、数字化应用、数字化创新和数字化变革四维视角构建我国省际数字经济综合评价指标体系,然后对我国省际数字经济发展水平的时空异质性及其影响因素进行空间SAR分析.研究发现:(1)全国数字经济发展指数在2013—2018年间呈现出上升趋势;(2)省际数字经济发展水平差距较大,存在明显的"马太效应"和"数字鸿沟",数字经济发展水平高低排序依次是东部、中部和西部;(3)数字经济发展存在显著的正向空间相关性和空间集聚性;(4)城镇化、人力资本、政府行为、经济增长水平、贸易开放度、产业结构高级化等均会对数字经济发展产生正面促进作用.研究结果丰富了数字经济发展测度方法,为研究影响数字经济发展的因素提供了新视角.
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| GB/T 7714 | 焦帅涛 , 孙秋碧 . 我国数字经济发展测度及其影响因素研究 [J]. | 调研世界 , 2021 , (7) : 13-23 . |
| MLA | 焦帅涛 等. "我国数字经济发展测度及其影响因素研究" . | 调研世界 7 (2021) : 13-23 . |
| APA | 焦帅涛 , 孙秋碧 . 我国数字经济发展测度及其影响因素研究 . | 调研世界 , 2021 , (7) , 13-23 . |
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近年来,"数字经济"反复在政府工作报告中出现,大力发展数字经济已成为国家及各级地方政府的重要经济目标之一.本文基于数字基础、数字应用、数字创新、数字素养和数字变革5维视角构建我国2013～2019年数字经济发展综合测评体系,并采用扩展线性支出模型(ELES)对消费升级进行衡量测度,在克服内生性问题基础上,探索数字经济发展与消费升级的联动机理,研究发现:(1)数字经济发展对消费升级具有助力引领作用;(2)数字经济发展通过提升居民应对风险能力、缓解居民当期流动性约束和提高网络化便利服务进而实现消费升级;(3)数字经济发展对消费升级存在正向空间溢出效应,直接效应和总效应也均为正向的.
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| GB/T 7714 | 焦帅涛 , 孙秋碧 . 数字经济发展与消费升级联动的机理及其实证研究 [J]. | 工业技术经济 , 2021 , 40 (12) : 84-93 . |
| MLA | 焦帅涛 等. "数字经济发展与消费升级联动的机理及其实证研究" . | 工业技术经济 40 . 12 (2021) : 84-93 . |
| APA | 焦帅涛 , 孙秋碧 . 数字经济发展与消费升级联动的机理及其实证研究 . | 工业技术经济 , 2021 , 40 (12) , 84-93 . |
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基于文献梳理,本文聚焦重点行业领域,创新定义数字经济内涵,构建我国2013～2019年数字经济综合评价指标体系,利用熵权TOPSIS法测算我国数字经济发展水平,通过工具变量法、双重差分法、中介效应模型等研究数字经济发展对产业结构升级的影响效果及内在机制.研究发现:数字经济发展对产业结构升级具有积极促进作用且在高城镇化地区和高人力资本地区作用更显著;数字经济发展能通过促进地区创新最终促进产业结构升级.研究结果丰富了数字经济发展测度方法,也为研究数字经济发展对产业结构升级的影响机制提供新视角.
Keyword ：
产业结构升级 产业结构升级 工具变量法 工具变量法 影响机制 影响机制 数字经济发展 数字经济发展 熵权TOPSIS法 熵权TOPSIS法 综合评价指标体系 综合评价指标体系
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| GB/T 7714 | 焦帅涛 , 孙秋碧 . 我国数字经济发展对产业结构升级的影响研究 [J]. | 工业技术经济 , 2021 , 40 (5) : 146-154 . |
| MLA | 焦帅涛 等. "我国数字经济发展对产业结构升级的影响研究" . | 工业技术经济 40 . 5 (2021) : 146-154 . |
| APA | 焦帅涛 , 孙秋碧 . 我国数字经济发展对产业结构升级的影响研究 . | 工业技术经济 , 2021 , 40 (5) , 146-154 . |
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Accurately predicting the volatility of financial asset prices and exploring its laws of movement have profound theoretical and practical guiding significance for financial market risk early warning, asset pricing, and investment portfolio design. The traditional methods are plagued by the problem of substandard prediction performance or gradient optimization. This paper proposes a novel volatility prediction method based on sparse multi-head attention (SP-M-Attention). This model discards the two-dimensional modeling strategy of time and space of the classic deep learning model. Instead, the solution is to embed a sparse multi-head attention calculation module in the network. The main advantages are that (i) it uses the inherent advantages of the multi-head attention mechanism to achieve parallel computing, (ii) it reduces the computational complexity through sparse measurements and feature compression of volatility, and (iii) it avoids the gradient problems caused by long-range propagation and therefore, is more suitable than traditional methods for the task of analysis of long time series. In the end, the article conducts an empirical study on the effectiveness of the proposed method through real datasets of major financial markets. Experimental results show that the prediction performance of the proposed model on all real datasets surpasses all benchmark models. This discovery will aid financial risk management and the optimization of investment strategies. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Keyword ：
Backpropagation Backpropagation Benchmarking Benchmarking Commerce Commerce Costs Costs Deep learning Deep learning Electronic trading Electronic trading Financial markets Financial markets Forecasting Forecasting Investments Investments Risk management Risk management Time series analysis Time series analysis
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| GB/T 7714 | Lin, Hualing , Sun, Qiubi . Financial volatility forecasting: A sparse multi-head attention neural network [J]. | Information (Switzerland) , 2021 , 12 (10) . |
| MLA | Lin, Hualing 等. "Financial volatility forecasting: A sparse multi-head attention neural network" . | Information (Switzerland) 12 . 10 (2021) . |
| APA | Lin, Hualing , Sun, Qiubi . Financial volatility forecasting: A sparse multi-head attention neural network . | Information (Switzerland) , 2021 , 12 (10) . |
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聚焦代表性行业产业,从数字基础、数字应用、数字创新和数字变革四维视角构建中国数字经济发展综合指标评价体系。基于测度结果进一步分析中国数字经济发展的空间集聚性、时空差异性及发散性。研究表明:数字经济发展存在正向空间相关性和集聚性;中国各省份数字经济发展水平均呈现出上升趋势;中国省域数字经济发展存在明显的"数字鸿沟"现象;地区内和地区间差异对整体差异性贡献率均在50%上下浮动;中国及三大地区数字经济发展差异性水平是发散的。
Keyword ：
发散性 发散性 数字经济发展 数字经济发展 时空差异性 时空差异性 空间集聚性 空间集聚性 综合评价体系 综合评价体系
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| GB/T 7714 | 焦帅涛 , 孙秋碧 . 中国数字经济发展的测度及分析 [J]. | 福州大学学报(哲学社会科学版) , 2021 , 35 (06) : 18-25 . |
| MLA | 焦帅涛 等. "中国数字经济发展的测度及分析" . | 福州大学学报(哲学社会科学版) 35 . 06 (2021) : 18-25 . |
| APA | 焦帅涛 , 孙秋碧 . 中国数字经济发展的测度及分析 . | 福州大学学报(哲学社会科学版) , 2021 , 35 (06) , 18-25 . |
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At present, there is a consensus that the digital economy provides a new impetus for sustainable economic development. Based on domestic and foreign literature reviews, this paper focuses on representative industry sectors; we present China's 2011-2018 digital economy development index, for 173 cities, from a three-level perspective-internet development, digital literacy, and industrial efficiency improvement. Various models, such as the instrumental variable method, the double difference method, the intermediary effect model, and the spatial econometric model were used to quantitatively analyze the impact of digital economic development on urban economic growth in China. The study finds that: (1) digital economic development in China has a positive effect on urban economic growth, and a heterogeneity of effects exists between different cities. (2) Urban employment is the "effect mechanism" of digital economic growth on urban economic growth. (3) The direct effect of digital economic development on urban economic growth in China is positive, the spillover effect is positive, the direct effect is greater than the spillover effect, and the total effect is positive. The research results enrich the measurement methods used in urban digital economic development in China, providing new perspectives for studying the influence mechanisms of digital economic development on urban economic growth.
Keyword ：
digital economy development digital economy development economic growth economic growth effect mechanism effect mechanism spillover effect spillover effect sustainable development sustainable development
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| GB/T 7714 | Jiao, Shuaitao , Sun, Qiubi . Digital Economic Development and Its Impact on Econimic Growth in China: Research Based on the Prespective of Sustainability [J]. | SUSTAINABILITY , 2021 , 13 (18) . |
| MLA | Jiao, Shuaitao 等. "Digital Economic Development and Its Impact on Econimic Growth in China: Research Based on the Prespective of Sustainability" . | SUSTAINABILITY 13 . 18 (2021) . |
| APA | Jiao, Shuaitao , Sun, Qiubi . Digital Economic Development and Its Impact on Econimic Growth in China: Research Based on the Prespective of Sustainability . | SUSTAINABILITY , 2021 , 13 (18) . |
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Accurate prediction of crude oil prices is meaningful for reducing firm risks, stabilizing commodity prices and maintaining national financial security. Wrong crude oil price forecasts can bring huge losses to governments, enterprises, investors and even cause economic and social instability. Many classic econometrics and computational approaches show good performance for the ordinary time series prediction tasks, but not satisfactory in crude oil price predictions. They ignore the characteristics of non-linearity and non-stationarity of crude oil prices data, which hinder an accurate prediction and eventually lead to poor accuracy or the wrong result. Empirical mode decomposition (EMD) and ensemble EMD (EEMD) solve the problems of non-stationary time series forecasting, but they also generate new problems of mode mixing and reconstruction errors. We propose a hybrid method that is combination of the complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) and multi-layer gated recurrent unit (ML-GRU) neural network to solve the abovementioned issues. This not only deals with the issue of mode mixing effectively, but also makes the reconstruction error of data close to zero. Multi-layer GRU has an excellent ability of nonlinear data-fitting. The experimental results of real WTI crude oil dataset show that the proposed approach perform better in crude oil prices forecasts than some state-of-the-art models.
Keyword ：
complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) crude oil prices crude oil prices forecasting forecasting multi-layer gated recurrent unit (ML-GRU) multi-layer gated recurrent unit (ML-GRU)
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| GB/T 7714 | Lin, Hualing , Sun, Qiubi . Crude Oil Prices Forecasting: An Approach of Using CEEMDAN-Based Multi-Layer Gated Recurrent Unit Networks [J]. | ENERGIES , 2020 , 13 (7) . |
| MLA | Lin, Hualing 等. "Crude Oil Prices Forecasting: An Approach of Using CEEMDAN-Based Multi-Layer Gated Recurrent Unit Networks" . | ENERGIES 13 . 7 (2020) . |
| APA | Lin, Hualing , Sun, Qiubi . Crude Oil Prices Forecasting: An Approach of Using CEEMDAN-Based Multi-Layer Gated Recurrent Unit Networks . | ENERGIES , 2020 , 13 (7) . |
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In international trade, it is common practice for multinational companies to use financial market instruments, such as financial derivatives and foreign currency debt, to hedge exchange rate risks. Making accurate predictions and decisions on the direction and magnitude of exchange rate movements is a more direct way to reduce exchange rate risks. However, the traditional time series model has many limitations in forecasting exchange rate, which is nonlinear and nonstationary. In this paper, we propose a new hybrid model of complete ensemble empirical mode decomposition (CEEMDAN) based multilayer long short-term memory (MLSTM) networks. It overcomes the shortcomings of the classic methods. CEEMDAN not only solves the mode mixing problem of empirical mode decomposition (EMD), but also solves the residue noise problem which is included in the reconstructed data of ensemble empirical mode decomposition (EEMD) with less computation cost. MLSTM can learning more complex dependences from exchange rate data than the classic model of time series. A lot of experiments have been conducted to measure the performance of the proposed approach among the exchange rates of British pound, the Australian dollar, and the US dollar. In order to get an objective evaluation, we compared the proposed method with several standard approaches or other hybrid models. The experimental results show that the CEEMDAN-based MLSTM (CEEMDAN-MLSTM) goes on better than some state-of-the-art models in terms of several evaluations.
Keyword ：
complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) exchange rate risks exchange rate risks hybrid forecasting approach hybrid forecasting approach multilayer long short-term memory (MLSTM) multilayer long short-term memory (MLSTM)
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| GB/T 7714 | Lin, Hualing , Sun, Qiubi , Chen, Sheng-Qun . Reducing Exchange Rate Risks in International Trade: A Hybrid Forecasting Approach of CEEMDAN and Multilayer LSTM [J]. | SUSTAINABILITY , 2020 , 12 (6) . |
| MLA | Lin, Hualing 等. "Reducing Exchange Rate Risks in International Trade: A Hybrid Forecasting Approach of CEEMDAN and Multilayer LSTM" . | SUSTAINABILITY 12 . 6 (2020) . |
| APA | Lin, Hualing , Sun, Qiubi , Chen, Sheng-Qun . Reducing Exchange Rate Risks in International Trade: A Hybrid Forecasting Approach of CEEMDAN and Multilayer LSTM . | SUSTAINABILITY , 2020 , 12 (6) . |
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This paper describes a trusted update mechanism of node authorization based on proxy re-encrypted in IoT cloud. It defines that the system consists of IoT data server, node authorization management server, re-encrypted proxy server and working node. The data is generated by trusted IoT data server through wireless sensor network. The network publishes to the node, which requires the node to register in the node authorization management server. The registered node will obtain the ciphertext data in the re-encrypted proxy server in the cloud, and obtain the decryption parameters in the node authorization management server for data decryption. This paper designs a secure and efficient cloud data sharing protocol, which satisfies the security of adaptive selection ciphertext, ensures the security of data storage and sharing, and also has the characteristics of unidirectionality, universality, non-interaction, non-transferability and anti-collusion attack. This paper also analyzes the computing and communication costs of data owners, cloud service provider (CSP) and data receivers under the data sharing protocol. The results show that in the cloud data sharing protocol based on this scheme, the data owner’s one-time communication cost is 2368 bits, which is better than several comparison schemes and can meet the practical application requirements. © 2020, ICIC International.
Keyword ：
Cryptography Cryptography Data Sharing Data Sharing Digital storage Digital storage Information management Information management Internet of things Internet of things Network security Network security Sensor nodes Sensor nodes Trusted computing Trusted computing
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| GB/T 7714 | Li, Shunhui , Sun, Qiubi , Wu, Haidong . Research on node authorization trusted update mechanism based on agent re-encryption in iot cloud [J]. | International Journal of Innovative Computing, Information and Control , 2020 , 16 (3) : 867-877 . |
| MLA | Li, Shunhui 等. "Research on node authorization trusted update mechanism based on agent re-encryption in iot cloud" . | International Journal of Innovative Computing, Information and Control 16 . 3 (2020) : 867-877 . |
| APA | Li, Shunhui , Sun, Qiubi , Wu, Haidong . Research on node authorization trusted update mechanism based on agent re-encryption in iot cloud . | International Journal of Innovative Computing, Information and Control , 2020 , 16 (3) , 867-877 . |
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