期刊：
International Review of Economics & Finance,2025年102:104271 ISSN：1059-0560
通讯作者：
Lin, CT
作者机构：
[Ding, Zeyu; Chen, Zhongwen] Hengyang Normal Univ, Coll Econ & Management, Hengyang 421002, Peoples R China.;[Lin, CT; Lin, Cheng-To] Renmin Univ China, Int Coll, Beijing 100872, Peoples R China.
通讯机构：
[Lin, CT ] R;Renmin Univ China, Int Coll, Beijing 100872, Peoples R China.
关键词：
Commercialization Reform of RCCs;Growth of Family Farms;Multi-Period Pradual DID
摘要：
This paper, based on the data of Chinese family farms from 2013 to 2021, uses the transformation of rural credit cooperatives (RCCs) into rural commercial banks (RCBs) as a quasi-natural experiment and employs a multi-period gradual Difference-in-Differences (DID) model to empirically test the impact of the commercialization reform of RCCs on the growth of family farms and its mechanisms. The study finds that: (1) the commercialization reform of RCCs significantly promotes the growth of family farms; (2) in terms of mechanisms, the commercialization reform of RCCs can promote the growth of family farms through two mechanisms: alleviating financing constraints and reducing leverage levels; (3) further heterogeneity analysis on individual characteristics of family farms and their regions shows that the promotional effect of the commercialization reform of RCCs on the growth of larger-scale, better-managed family farms, as well as those located in the eastern and western regions, areas with lower levels of digital financial development, and higher levels of innovation and entrepreneurship, is more pronounced. This paper provides theoretical support for the continued advancement of the commercialization reform of RCCs and also offers some policy references for the future reform direction of local rural financial institutions.
This paper, based on the data of Chinese family farms from 2013 to 2021, uses the transformation of rural credit cooperatives (RCCs) into rural commercial banks (RCBs) as a quasi-natural experiment and employs a multi-period gradual Difference-in-Differences (DID) model to empirically test the impact of the commercialization reform of RCCs on the growth of family farms and its mechanisms. The study finds that: (1) the commercialization reform of RCCs significantly promotes the growth of family farms; (2) in terms of mechanisms, the commercialization reform of RCCs can promote the growth of family farms through two mechanisms: alleviating financing constraints and reducing leverage levels; (3) further heterogeneity analysis on individual characteristics of family farms and their regions shows that the promotional effect of the commercialization reform of RCCs on the growth of larger-scale, better-managed family farms, as well as those located in the eastern and western regions, areas with lower levels of digital financial development, and higher levels of innovation and entrepreneurship, is more pronounced. This paper provides theoretical support for the continued advancement of the commercialization reform of RCCs and also offers some policy references for the future reform direction of local rural financial institutions.
期刊：
Neural Computing and Applications,2024年36(17):9849-9874 ISSN：0941-0643
通讯作者：
Liang, L
作者机构：
[Liao, Minglong; Wang, Zongrun; Liang, Lin] Cent South Univ, Business Sch, Changsha 410083, Hunan, Peoples R China.;[Liu, Xin] Hengyang Normal Univ, Coll Econ & Management, Hengyang 421002, Hunan, Peoples R China.;[Liao, Minglong; Liang, Lin] Cent South Univ, Xiangya Hosp, Changsha 410008, Hunan, Peoples R China.
通讯机构：
[Liang, L ] C;Cent South Univ, Business Sch, Changsha 410083, Hunan, Peoples R China.;Cent South Univ, Xiangya Hosp, Changsha 410008, Hunan, Peoples R China.
关键词：
Quality of service;Continuous trust;Credibility models;Credibility trusts;Health services;Initial trusts;Medical services;Online health communities;Source credibilities;Source of trust;Trust transitivities;Decision making
摘要：
A two-step hydrothermal process was used to successfully create Ti3+, N, and B co-doped TiO2 modified with nitrogen doped graphene quantum dots (Ti3+/N/B-TiO2@NGQDs (TNBTN)) composite photocatalyst for photodegradation of bisphenol A (BPA) and methyl orange (MO) under visible-light illumination. The prepared TNBTN composite demonstrated significantly enhanced visible light catalytic performance. Especially, the apparent rate constant of BPA degradation with TNBTN was approximately 56.9 times that of pure TiO2, which was attributed to broader visible light absorbance and faster transmission and separation of photoinduced charge. In addition, the mechanism of BPA and MO degradation with TNBTN was distinct.
摘要：
The burgeoning interest in green agriculture represents a pivotal shift towards environmentally friendly farming systems but sales of its products have been poor. Therefore, guiding consumers to pay reasonably can help green agricultural enterprises formulate appropriate marketing strategies and enhance public health and environmental quality. This paper takes shrimp rice (SR) as an example, based on 1,158 consumers in the largest rice province Hunan, and seeks to detect which factors affect the public’s willingness to pay (WTP) by adopting the Contingent Valuation Method (CVM) and Heckman two-step Model. After removing biased observations, the results show that most respondents recognize the value of SR, whose premium is 1.47 yuan/kg, with a 25.85% premium rate. Moreover, positive external cognitions (psychology, environment, safety, policy) can moderate consumers’ WTP to varying degrees by strengthening their corresponding motivations. In addition, older, highly educated men who are familiar with SR and high-income but small-scale households with children and the elderly are more likely to pay a higher premium. Hence, some recommendations are put forward to enhance consumers’ external cognitions, providing an indispensable scientific basis for developing countries to promote the sustainable development of environmentally friendly agriculture.
摘要：
In the context of public deposit insurance organizational models, several interesting questions arise: Why does China's Deposit Insurance Corporation consistently lean toward the cooperative institution model, which is closely aligned with the central bank? Despite fervent advocacy for the independent institution model by the IADI and the U.S. Why does the unwavering stance exist? Is the choice of the cooperative institution model an "ignorant solution" or an "optimal solution" in China? Our work answers these questions for the first time, and we argue that it is the "optimal solution" that policymakers can choose after careful deliberation, not due to stupidity or inexperience. Based on the Honey Badger Algorithm, real options approach and expected loss pricing model, our work verifies the significant advantages of the cooperative institution model over the independent institution model in China. This pivotal distinction, primarily overlooked in the extant literature, suggests that universally accepted perspectives may not be ubiquitously relevant across all national contexts.
In the context of public deposit insurance organizational models, several interesting questions arise: Why does China's Deposit Insurance Corporation consistently lean toward the cooperative institution model, which is closely aligned with the central bank? Despite fervent advocacy for the independent institution model by the IADI and the U.S. Why does the unwavering stance exist? Is the choice of the cooperative institution model an "ignorant solution" or an "optimal solution" in China? Our work answers these questions for the first time, and we argue that it is the "optimal solution" that policymakers can choose after careful deliberation, not due to stupidity or inexperience. Based on the Honey Badger Algorithm, real options approach and expected loss pricing model, our work verifies the significant advantages of the cooperative institution model over the independent institution model in China. This pivotal distinction, primarily overlooked in the extant literature, suggests that universally accepted perspectives may not be ubiquitously relevant across all national contexts.
期刊：
IEEE Transactions on Engineering Management,2024年71:6319-6337 ISSN：0018-9391
通讯作者：
Wang, ZR
作者机构：
[Liu, Xin] Hengyang Normal Univ, Coll Econ & Management, Hengyang 421007, Peoples R China.;[Wang, Zongrun; Zhou, Yanju] Cent South Univ, Sch Business, Changsha 410017, Peoples R China.;[Kumar, Ajay] EMLYON Business Sch, F-69130 Ecully, France.;[Biswas, Baidyanath] Trinity Coll Dublin, Trinity Business Sch, Dublin D02 F6N2, Ireland.
通讯机构：
[Wang, ZR ] C;Cent South Univ, Sch Business, Changsha 410017, Peoples R China.
关键词：
Analytical models;Big data analytics;Cognition;Costs;Data mining;data science in healthcare;Diseases;healthcare technology;Medical diagnostic imaging;Medical services;online medicine;PQDR-LDA model;text mining
摘要：
Disease information mining is one of the critical factors affecting users' perception of the disease and has attracted extensive attention from the information management community in recent years. If the mined disease information is incompatible with the disease information perceived by the user, it will eventually lead to the loss of users from the online medical consultation platform, degrading its operation and management. Using existing models to mine disease information leads to significant errors when users perceive the disease. Therefore, this research extends the latent Dirichlet allocation (LDA) and Twitter-LDA models to propose an intelligent topic model, PQDR-LDA. Compared with the Twitter-LDA model, the proposed model has a smaller perplexity value, stronger generalization ability, greater coherence value, lower correlation between topics, and stronger ability in extracting the disease information. It is found that the accuracy of disease diagnosis is very low, and the user's need for perceiving the disease will be reduced while using the traditional model to mine only the text of user questions on an online medical consultation platform. The accuracy of disease diagnosis does not decrease while only mining the doctor's reply text. Disease information that is more suitable for the consultation text can be obtained, which in fact cannot meet the user's real appeal for health, and reduces the users’ needs in perceiving the disease. These findings have important management implications for the platform's operation and decision-making. Besides, users will ask questions in more medical texts simultaneously, which makes things more complicated. Unique management insights are obtained based on the disease information mining of user consultation texts through multiple consultation texts and multiple doctor replies. IEEE
