Research on the Trust Mechanism of Individual Consumers in Rural Financial Markets Based on the Dynamic CGE Model

In order to obtain the complete equilibrium state of rural financial market and ensure the stable development of rural financial consumer market, this paper introduces CGE model and analyzes the dynamic trust mechanism of individual consumers in rural financial market. In this paper, the single variable evolutionary fuzzy clustering algorithm is used to analyze the orthogonal eigenvector solutions of individual consumers; the big data of individual consumers under the mode of perceived trust is automatically clustered, so as to obtain the fuzzy analogy function of individual consumers in the rural financial market; and finally the prediction value of consumer trust is obtained. The results show that trust, customer satisfaction, and service quality are positively correlated. Under the same sample expectation constraints, the dynamic CGE model is more robust, and the individual consumer trust mechanism of rural financial market in the study area has higher advantages.

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On the Optimization of Investment Strategies in the Context of Virtual Financial Market by the Individual Approach to Risk

Informatica ◽

10.15388/informatica.2014.13 ◽

2014 ◽

Vol 25 (2) ◽

pp. 241-264

Author(s):

Jonas Mockus ◽

Igor Katin ◽

Joana Katina

Keyword(s):

Financial Market ◽

Investment Strategies ◽

Individual Approach ◽

The Individual

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CLUSTERING USING AN IMPROVED HYBRID GENETIC ALGORITHM

International Journal of Artificial Intelligence Tools ◽

10.1142/s021821300700362x ◽

2007 ◽

Vol 16 (06) ◽

pp. 919-934

Author(s):

YONGGUO LIU ◽

XIAORONG PU ◽

YIDONG SHEN ◽

ZHANG YI ◽

XIAOFENG LIAO

Keyword(s):

Genetic Algorithm ◽

Clustering Algorithm ◽

Hybrid Genetic Algorithm ◽

Sum Of Squares ◽

Clustering Methods ◽

Clustering Problem ◽

Mutation Operation ◽

Iteration Methods ◽

Genetic Clustering ◽

The Individual

In this article, a new genetic clustering algorithm called the Improved Hybrid Genetic Clustering Algorithm (IHGCA) is proposed to deal with the clustering problem under the criterion of minimum sum of squares clustering. In IHGCA, the improvement operation including five local iteration methods is developed to tune the individual and accelerate the convergence speed of the clustering algorithm, and the partition-absorption mutation operation is designed to reassign objects among different clusters. By experimental simulations, its superiority over some known genetic clustering methods is demonstrated.

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Bußgeldrechtliche Sanktionierung juristischer Personen im neuen Marktmissbrauchsrecht

10.5771/9783748924081 ◽

2021 ◽

Author(s):

Ann-Kristin Reinartz

Keyword(s):

Financial Market ◽

Legal Issues ◽

European Level ◽

Central Object ◽

Corporate Group ◽

Market Abuse ◽

Principle Of Proportionality ◽

The Individual ◽

Financial Market Crisis

The main cause of the financial market crisis was the lack of effective and deterrent sanctions for market abuse and the inadequate enforcement of these sanctions. The European legislator has addressed this shortcoming by massively tightening sanctions – especially fines against legal persons. The thesis examines new legal issues that arise in particular from the increasing regulatory density at the European level. The central object of investigation is the tension between the need for deterrent sanctions and the preservation of the principle of proportionality as well as other constitutional principles at the level of the individual company as well as the level of the corporate group.

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Unconventional monetary policy expansion: the economic impact through a dynamic CGE model

International Journal of Monetary Economics and Finance ◽

10.1504/ijmef.2018.092354 ◽

2018 ◽

Vol 11 (2) ◽

pp. 140 ◽

Cited By ~ 2

Author(s):

Claudio Socci ◽

Francesca Severini ◽

Rosita Pretaroli ◽

Irfan Ahmed ◽

Clio Ciaschini

Keyword(s):

Monetary Policy ◽

Economic Impact ◽

Cge Model ◽

Unconventional Monetary Policy ◽

Dynamic Cge

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A tourism growth model

Tourism Economics ◽

10.1177/1354816619840096 ◽

2019 ◽

Vol 26 (5) ◽

pp. 746-763 ◽

Cited By ~ 2

Author(s):

Federico Inchausti-Sintes

Keyword(s):

Economic Growth ◽

Economic Model ◽

Industrial Sector ◽

Cge Model ◽

Economic Progress ◽

Secondary Sector ◽

Dynamic Cge ◽

Productivity Gains ◽

Dynamic Economic Model

Two processes can be used to summarize the productive-mix of a tourism-led economy: the lack of a significant secondary sector and strong tertiarization. Both developments have had significant consequences for productivity gains that, as shown by empirical research, are key to understanding economic progress. In fact, this productivity has been predominantly concentrated in the industrial sector while services have relied more on factor accumulation. However, this varying economic pattern has permitted long-lasting economic growth in current tourism-led economies. This article develops a theoretical dynamic economic model (a dynamic CGE model) to explain the beginning, development and long-term growth consequences of tourism-led economies.

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Factors Associated with Perceived Trust of False Abortion Websites: A Cross-Sectional Online Survey (Preprint)

10.2196/preprints.25323 ◽

2020 ◽

Author(s):

Sarina Rebecca Chaiken ◽

Lisa Han ◽

Blair G Darney ◽

Leo Han

Keyword(s):

Online Survey ◽

Demographic Data ◽

Cross Sectional Study ◽

Cross Sectional ◽

Correlation Matrices ◽

Individual Level ◽

Perceived Trust ◽

Neutral Site ◽

Design Characteristics ◽

The Individual

BACKGROUND The majority of patients use the internet to search for health information. While there is a vast repository of searchable information online, much of the content is unregulated and therefore potentially incorrect, conflicting, or confusing. Abortion information online is particularly prone to being inaccurate as anti-choice websites publish purposefully misleading information in formats that appear as neutral resources. To understand how anti-choice websites appear neutral, we need to understand the specific website features of anti-choice features that impart trust to viewers. OBJECTIVE We sought to identify characteristics of false or misleading abortion websites that make these websites appear trustworthy to the public. METHODS We conducted a cross-sectional study using Amazon.com Inc’s Mechanical Turk platform. We used validated questionnaires to ask participants to rate eleven anti-choice sites and one neutral site identified by experts, focusing on site content, creators, and design. We collected socio-demographic data and participant views on abortion. We used a composite measure of “mean overall trust” as our primary outcome. Using correlation matrices, we determined which website characteristics were most associated with overall trust. Finally, we used linear regression to identify participant characteristics associated with overall trust. RESULTS Our analytic sample included 498 participants ranging from ages 22 to 70, 50.1% of whom identified as female. Across eleven anti-choice sites, creator trust (“I believe that the creators of this site are honest and trustworthy”) had the highest correlation coefficient with overall trust (0.70). Professional appearance (0.59), look and feel (0.59), perception that the information is created by experts (0.59), association with a trustworthy organization (0.58), valued features and functionalities (0.54), and interactive capabilities (0.52) all demonstrated strong relationships with overall trust. At the individual level, pro-choice leaning was associated with higher overall trust of the neutral site (B: -0.43, CI: -0.87, 0.01) and lower overall trust of the anti-choice sites (B: 0.52, CI: 0.05, .99). CONCLUSIONS The overall trustworthiness of anti-choice websites is most associated with design characteristics and perceived trustworthiness of the site creator. Those who believe that access to abortion should be limited are more likely to trust anti-choice websites.

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A Dynamic CGE Model of Deforestation in Costa Rica1

Biodiversity Conservation: Problems and Policies - Ecology, Economy & Environment ◽

10.1007/978-94-011-1006-8_12 ◽

1994 ◽

pp. 205-225 ◽

Cited By ~ 1

Author(s):

Annika B. Persson

Keyword(s):

Cge Model ◽

Dynamic Cge

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Perceived Trust and Confidence for Cryptocurrency Adoption

10.4018/978-1-7998-9035-5.ch014 ◽

2022 ◽

pp. 250-279

Author(s):

Ewilly Jie Ying Liew ◽

Wei Li Peh ◽

Zhuan Kee Leong

Keyword(s):

Large Scale ◽

Social Impact ◽

Public Perceptions ◽

Middle Income ◽

Individual Level ◽

Perceived Trust ◽

Middle Income Countries ◽

Regulatory Bodies ◽

The Individual ◽

National Databases

This chapter seeks to examine the influence of public perceptions of trust in people and confidence in institutions on cryptocurrency adoption, taking into account the individual-level demographic factors and the regional-level contextual factors. Data is obtained from three large-scale international surveys and national databases and analyzed using R software. The multivariate results demonstrate that individuals' public perceptions of trust and confidence significantly contribute to cryptocurrency adoption. Lower perceived trust in people and higher perceived confidence in civil service and international regulatory bodies increase cryptocurrency adoption, while perceived confidence in political and financial institutions discourages cryptocurrency adoption. Additionally, the univariate results find significant comparisons of gender and perceived trust differences on the predictors of cryptocurrency adoption. This chapter discusses and provides insights on the social impact and future of cryptocurrency adoption, particularly among the upper- and lower-middle-income countries.

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