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Bank fintech and corporate green transformation quality improvement: based on greenwashing governance perspective

Economic Analysis and Policy 2025年 87卷 401-423页

作者： Shuitu Qian Zhenyu Yang Xia Fang School of Finance (School of Zheshang Asset Management) Zhejiang Gongshang University Hangzhou 310018 China Economic Forecasting and Policy Simulation Laboratory Zhejiang Gongshang University Hangzhou 310018 China Collaborative Innovation Center of Statistical Data Engineering Technology & Application Zhejiang Gongshang University Hangzhou 310018 China Inamori Business School Zhejiang Gongshang University Hangzhou 310018 China

Identifying and preventing greenwashing is a key pathway to enhancing the quality of corporate green transformation. This study examines the impact and mechanisms of bank fintech on corporate green transformation quality from the greenwashing governance perspective. By identifying the fintech patents of banks and the ESG performance of enterprises, we construct bank fintech and greenwashing indices. Using Chinese listed companies as samples from 2010 to 2022, we find that bank fintech can effectively inhibit corporate greenwashing, and the inhibitory effects are stronger for underlying technology-based bank fintech and nationwide bank fintech. Mechanism analysis reveals that bank fintech reduces corporate greenwashing by exerting resource allocation effects, behavioral supervision effects, and information screening effects, thereby reducing greenwashing from the perspectives of resource incentives and behavioral norms. Further analysis reveals that bank fintech has a stronger inhibitory effect on greenwashing in non-heavy polluting firms, firms with high levels of digitalization, and firms located in regions with strong digital economy and environmental protection policies. These findings provide valuable insights for promoting the digital transformation of commercial banks, assisting in greenwashing governance, and enhancing the quality of corporate green transition.

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The Z-Number Fuzzy Cognitive Map Based on Bargaining Game for Environmental Pollution Diffusion Method: A Case Study of Yangtze River Economic Belt

SSRN

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SSRN 2023年

作者： Xue, Wenting Lin, Zijin Su, Weihua Zhang, Chonghui Xu, Zeshui Collaborative Innovation Center of Statistical Data Engineering Technology & Application Zhejiang Gongshang University Hangzhou310018 China School of Statistics and Mathematics Zhejiang Gongshang University Hangzhou310018 China Business School Sichuan University Sichuan Chengdu610065 China

The existing environmental pollution efficiency evaluation method usually fails to portray the influence of the pollution diffusion among the adjacent regions, which leads to inaccuracy of the evaluation results. In the paper, we propose the Z-number Fuzzy Cognitive Map Based on Bargaining Game (Z-FCM-BG) model to investigate the impact of the pollution diffusion on the alternative with Z-number evaluation information. To measure the influence of the pollution diffusion on the alternatives, the fuzzy cognitive map under the Z-number circumstance is employed to deal with the complex causal relationship. Since the traditional FCM highlights the overall characteristics and behavior of the system while ignoring the value of concepts during the iteration process, the Z-FCM-BG method incorporates the Nash Product Equilibrium (NPE) and the logic of bargaining game, emphasizing the importance of the alternative. The Z-FCM-BG model is solved by the multi-objective particle swarm optimization algorithm. A case study on the environmental pollution efficiency evaluation of 11 provinces and municipalities in the Yangtze River economic belt. Finally, the comparative analysis is conducted by comparing with the benchmark method and self-comparison to validate the effectiveness and rationality of the proposed method. © 2023, The Authors. All rights reserved.

关键词： Diffusion

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Attribute Enhanced Graph Attention Networks for Session-based Recommendation

Attribute Enhanced Graph Attention Networks for Session-base...

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International Conference on Advanced Cloud and Big data (CBD)

作者： Yidan Xu Ning Wang Jiaqi Wu Shuai Xu Bohan Li Nanjing University of Aeronautics and Astronautics Nanjing China Collaborative Innovation Center of Novel Software Technology and Industrialization Nanjing China National Engineering Laboratory for Integrated Aero-Space-Ground Ocean Big Data Application Technology Xi’an China

Session-based recommendation (SBR) aims to predict the next item that the anonymous users will interact with based on their short behavior sequence. However, most of the current approaches towards SBR only focus on modeling users’ interest preferences based on a series of items, ignoring extra item attributes, i.e., the brand attribute. This paper proposes a novel approach, called the Attribute Enhanced Graph Attention Networks for Session-based Recommendation (AGSR), using the brand attribute to better model user preferences. Specifically, (i) AGSR constructs the session graph of the current session to capture the user’s session-level item embedding; (ii) AGSR constructs the brand global graph to capture the brand-level item embedding and brand embedding; (iii) Based on the learned node embeddings, AGSR apply attention layers to extract users’ interest and brand preferences. Finally, AGSR makes the recommendation based on item features and user interest and brand preferences, so as to provide better recommendations. Extensive experiments on three real-world datasets demonstrate the effectiveness of our approach.

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Study on Lix54-Tbp Extraction for Li/Na Separation and its Kinetics and Thermodynamics

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SSRN 2024年

作者： Ma, Yu Ma, Liwen Xi, Xiaoli Nie, Zuoren Collaborative Innovation Center of Capital Resource-Recycling Material Technology College of Materials Science and Engineering Beijing University of Technology Beijing100124 China Key Laboratory of Advanced Functional Materials Ministry of Education Beijing University of Technology Beijing100124 China National Engineering Laboratory for Industrial Big-data Application Technology Beijing University of Technology Beijing100124 China

To improve the Li+ recovery efficiency and the Li/Na separation of low-grade lepidolite, a Lix54-TBP extractant system with sec-octyl alcohol as dehalogenation and sulfonated kerosene as diluent was proposed. In a high Na+ and low Li+ solution, the primary extraction efficiency of Li+ reached 98.29% with Li/Na separation coefficient of 5606.25 under the optimal extraction conditions and the stripping efficiency was 99.75%. The kinetic equation of the extraction was obtained as R(Li) = 9.397 × 10-7 × [Li+]0.7882·[Lix54]0.2337·[TBP]0.2999. The thermodynamic parameters were calculated as ΔH=-2.41kJ/mol, ΔG=-1.129kJ/mol, ΔS=3.778J/mol and Ea =19.73kJ/mol, indicated that the extraction reaction was exothermic, spontaneous and probably mixed controlled by diffusion and chemical reaction. The reaction mechanism was ion exchange reaction, and extractants had a higher selectivity for Li+ than Na+ during the extraction process. This study provides an important technical reference for the efficient separation and recovery of Li from low-grade lepidolite, which is helpful for the utilization of strategic mineral resources. © 2024, The Authors. All rights reserved.

关键词： Extraction

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Functional-Coefficient Quantile Regression for Panel data with Latent Group Structure

arXiv

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arXiv 2023年

作者： Yang, Xiaorong Chen, Jia Li, Degui Li, Runze School of Statistics and Mathematics Collaborative Innovation Centre of Statistical Data Engineering Technology and Application Zhejiang Gongshang University China Department of Economics and Related Studies University of York United Kingdom Department of Mathematics University of York United Kingdom Department of Statistics Pennsylvania State University United States

This paper considers estimating functional-coefficient models in panel quantile regression with individual effects, allowing the cross-sectional and temporal dependence for large panel observations. A latent group structure is imposed on the heterogenous quantile regression models so that the number of nonparametric functional coefficients to be estimated can be reduced considerably. With the preliminary local linear quantile estimates of the subject-specific functional coefficients, a classic agglomerative clustering algorithm is used to estimate the unknown group structure and an easy-to-implement ratio criterion is proposed to determine the group number. The estimated group number and structure are shown to be consistent. Furthermore, a post-grouping local linear smoothing method is introduced to estimate the group-specific functional coefficients, and the relevant asymptotic normal distribution theory is derived with a normalisation rate comparable to that in the literature. The developed methodologies and theory are verified through a simulation study and showcased with an application to house price data from UK local authority districts, which reveals different homogeneity structures at different quantile levels. © 2023, CC BY-NC-ND.

关键词： Normal distribution

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The Adsorption and Separation of Tungsten and Molybdenum by Chitosan and Chitosan-D301: Experiments and Dft Theoretical Calculation

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SSRN 2024年

作者： Chen, Na Ma, Liwen Xi, Xiaoli Nie, Zuoren Collaborative Innovation Center of Capital Resource-Recycling Material Technology College of Materials Science and Engineering Beijing University of Technology Beijing100124 China Key Laboratory of Advanced Functional Materials Ministry of Education College of Materials Science and Engineering Beijing University of Technology Beijing100124 China National Engineering Laboratory for Industrial Big-data Application Technology College of Materials Science and Engineering Beijing University of Technology Beijing100124 China

The adsorption and separation of tungsten and molybdenum are important for efficient recycling of W-Mo secondary resources. The sustainable development of them requires new green and efficient materials. In this paper, Chitosan (CS)-D301 material was obtained by impregnation method, CS and CS-D301 were applied to the adsorption and separation of W and Mo. The adsorption optimization results indicated that W was adsorbed by CS and CS-D301 adsorbents, the separation factor of W/Mo for CS-D301 increased from 21.34 to 26.45compared to CS. The desorption efficiency was still above 94% after five adsorption-desorption cycles. The adsorption energy of the adsorbent was calculated using density functional theory, which belongs to the chemical adsorption behavior. FT-IR, XPS and DFT theoretical calculations indicated that as the surface group N+-R of CS-D301 showed more affinity for W, making it easier to selectively separate W and Mo than CS. It was also found that N is the surface active adsorption site, and belongs to stable chemical adsorption processes. CS-D301 had stronger interaction with W from the Frontier orbital theory. CS and CS-D301 adsorbents were expected to become green adsorbent materials for efficient separation of W and Mo to support resource protection and sustainable development. © 2024, The Authors. All rights reserved.

关键词： Adsorption

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A Multi-Stage Probabilistic Linguistic Matching Method with the Screening Mechanism and Individual Preference Relationship Fusion

SSRN

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SSRN 2022年

作者： Li, Bo Zhu, Wenwen Gu, Liutao Xu, Zeshui Zhang, Chonghui Collaborative Innovation Center of Statistical Data Engineering Technology & Application Zhejiang Gongshang University Hangzhou310018 China College of Statistics and Mathematics Zhejiang Gongshang University Hangzhou310018 China Business School Sichuan University Sichuan Chengdu610064 China

Considering the diversification and randomness of transaction information and complexity of matching environment, the original information with the language tendency plays an important role. Thus, under this circumstance, this paper gives a matching decision-making system that aims to improve the matching efficiency and quality. First, using crawling technology, the corresponding data are obtained, which serves as the data basis for the matching decision-making system. Then, the improved Gaussian mixture model (GMM) is used to classify them. Next, for the alternative multiple indicators, a probabilistic linguistic cloud Bayesian network (PLC-BN) is constructed to demonstrate the dependency relationship, and determine the probability. It is known that the accuracy of agents’ preference information lays a solid foundation for the stability of final matching results, may involving the strong ranking, agents’ psychological preference and personal interest, etc. Thus, the improved ORESTE (organísation, rangement et Synthèse de données relarionnelles, in French) method is introduced to derive strong ranking and determine preference, indifference and incomparability (PIR) relation. Furthermore, considering the screening effect, this paper constructs the dynamic two-sided matching model. Finally, a case study in second-hand house transaction is used to demonstrate the matching process. Simulation and comparison analysis validate its feasibility and effectiveness. © 2022, The Authors. All rights reserved.

关键词： Bayesian networks

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Dft Calculations for Leaching Mechanism of Spent Hds Catalysts with Acidic or Alkaline Leaching Agents

SSRN

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SSRN 2023年

作者： Ma, Liwen Shi, Tiantian Nie, Zhuanghua Xi, Xiaoli Key Laboratory of Advanced Functional Materials Ministry of Education Faculty of Materials and Manufacturing Beijing University of Technology Beijing100124 China Collaborative Innovation Center of Capital Resource-Recycling Material Technology Beijing University of Technology Beijing100124 China National Engineering Laboratory for Industrial Big-data Application Technology Beijing University of Technology Beijing100124 China

The leaching mechanism of the spent hydrodesulfurization (HDS) catalyst was investigated by density functional theory (DFT) calculations and experiments. The ad-molecular (ADM) model of NiO-MoO3/Al2O3 was created to simulate the spent HDS catalyst. The model shows a stable structure with the length of chemical bonds varied greatly and the low symmetry. The adsorption configurations and state densities of different leaching agents on the NiO-MoO3/Al2O3 model were calculated. The results showed that NaOH increased the bond lengths of Mo-O3 and Mo-O4 by 0.062 Å and 0.052 Å;increased the bond lengths of Ni-O4, Ni-O5 and Ni-O6 by 0.092 Å, 0.023 Å and 0.058 Å, respectively. HCl increased the bond length of Mo-O3, Ni-O4 and Ni-O5 by 0.016 Å, 0.043 Å and 0.041 Å, respectively;HNO3 increased the length of Ni-O4 bond by 0.127 Å;H2SO4 increased the bond length of Mo-O1 and Ni-O4 by 0.036 Å and 0.165 Å. The influencing order of agents on Mo leaching was H2SO4>NaOH>HNO3>HCl and H2SO4>NaOH>HNO3≈HCl on Ni leaching according to the bond length increasing value. The leaching experimental results showed that the leaching efficiency of Mo and Ni was almost consistent with the calculated influence order. © 2023, The Authors. All rights reserved.

关键词： Density functional theory

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How Differences in Rice Texture and Oral Physiology Affect Sensory Preference and Eating Behavior of Consumers: A Generalized Additive Models (Gams) Approach

SSRN

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SSRN 2025年

作者： Zhao, Zhen Wang, Zuo Zhu, Jingye Xu, Ancha McClements, David Julian Chen, Jianshe Chen, Yong School of Food Science and Biotechnology Zhejiang Gongshang University Zhejiang Hangzhou310018 China Zhejiang-UK Joint Laboratory of Food Sensory Science Zhejiang Gongshang University Hangzhou310018 China School of Statistics and Mathematics Zhejiang Gongshang University Hangzhou310018 China Collaborative Innovation Center of Statistical Data Engineering Technology & Application Zhejiang Gongshang University Hangzhou310018 China Biopolymers and Colloids Laboratory Department of Food Science University of Massachusetts AmherstMA01003 United States

Both food texture and human oral physiology impact consumer preferences and eating behavior. However, the complex relationships between them are difficult to explain using simple mathematical models. For this reason, the potential of a generalized additive model (GAM) to relate food texture to oral physiology during the development of healthier foods was investigated. This semiparametric model combines the advantages of both parametric and nonparametric models. The oral behavior of a modified Japonica rice (JM), a low glycemic index (GI) food rich in resistant starch, was compared to that of regular Japonica rice (JR). Both JM and JR were cooked at three water-to-rice (W/R) ratios (low, recommended, high) to obtain samples with different textural properties. The oral physiological parameters of seventeen participants were measured, including biting force and saliva properties. Furthermore, time-intensity (TI) analysis, video recording and electromyography (EMG) were used to provide multiple dynamic sensory analyses. JM required more chewing cycles and longer chewing durations than JR, due to its firmer textural attributes. Linear GAM analysis demonstrated that high hardness and low stickiness of rice led to more chews, chewing duration, and muscle activities, raising the oral processing load and lowering consumer preference. Additionally, nonlinear GAM analysis indicated that saliva flow rate and mucin concentration were negatively correlated with both chewing frequency and duration. A simulated gastrointestinal model showed that JM was digested more slowly than JR. In summary, this study provided valuable insights for optimizing the sensory attributes of high-resistant starch rice to enhance its palatability and consumer acceptance. © 2025, The Authors. All rights reserved.

关键词： Sensory analysis

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Seamless maps of major elements of the Moon:Results from high-resolution geostationary satellite

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Research in Astronomy and Astrophysics 2021年第2期21卷 52-60页

作者： Yu Lu Yun-Zhao Wu Cui Li Jin-Song Ma Wen-Wen Qi Wei Tan Xiao-Man Li Zhi-Cheng Shi Hong-Yan He Shu-Wu Dai Guo Li Feng-Jing Liu Jing-Qiao Wang Xiao-Yan Wang Qi Wang Ling-Jie Meng Key Laboratory of Planetary Sciences Purple Mountain ObservatoryChinese Academy of SciencesNanjing 210034China School of Astronomy and Space Science University of Science and Technology of ChinaHefei 230026China CAS Center for Excellence in Comparative Planetology Hefei 230026China Space Science Institute Macao University of Science and TechnologyMacaoChina School of Geography and Ocean Science Nanjing UniversityNanjing 210023China Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application Nanjing 210023China Beijing Institute of Space Mechanics and Electricity Beijing 100076China Beijing Institute of Spacecraft System Engineering Beijing 100076China China Centre for Resources Satellite Data and Application Beijing 100094China Earth Observation System and Data Center China National Space AdministrationBeijing 100010China

Major elements such as Fe,Ti,Mg,Al,Ca and Si play very important roles in understanding the origin and evolution of the *** maps of these major elements derived from orbital data are based on mosaic images or low-resolution gamma-ray *** hue variations and gaps among orbital boundaries in the mosaic images are not conducive to geological *** paper aims to produce seamless and homogenous distribution maps of major elements using the single-exposure image of the whole lunar disk obtained by China’s high-resolution geostationary satellite,Gaofen-4,with a spatial resolution of500 *** elemental contents of soil samples returned by Apollo and Luna missions are regarded as ground truth,and are correlated with the reflectance of the sampling sites extracted from Gaofen-4 *** final distribution maps of these major oxides are generated with the statistical regression *** these products,the average contents and proportions of the major elements for maria and highlands were estimated and *** results showed that Si O2 and Ti O2 have the highest and lowest fractions in mare and highland areas,***,the relative concentrations of these elements could serve as indicators of geologic processes,e.g.,the obviously asymmetric distributions of Al2 O3,Ca O and Si O2 around Tycho crater may suggest that Tycho crater was formed by an oblique impact from the southwest direction.

关键词： Moon-data analysis-Imaging spectroscopy

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