• Title/Summary/Keyword: Evidence Theory

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Do Roads Enhance Regional Trade? Evidence Based on China's Provincial Data

  • RAHMAN, Imran Ur;SHARMA, Buddhi Prasad;FETUU, Enitilina;YOUSAF, Muhammad
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.12
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    • pp.657-664
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    • 2020
  • We investigate the impact of roads and highways within the provinces on the regional trade of China using the augmented Gravity Model and theory of modeling trade. We take a panel data covering 31 provinces of China over 20 years period (1998-2017) for the estimations. We apply ARMA-OLS model, fixed and random effects, and robust findings by Hausman test. The results imply that road and highway lengths within the provinces have a significantly positive impact on the value of the province-wise exports. The positive impact is due to the fact the increased coverage of roads and highways increase accessibility to resources and mobility of goods and services within the regions. Moreover, employment in the transportation sector, per capita GDP and population of the provinces also illustrate positive and significant influence on regional exports and trade. The impact of China's WTO accession on regional exports has been positive, while the financial crisis has had a negative impact. The year dummies show that, in the years following the financial crisis, China was able to regress from the external shock as trade within the provinces increased. The increase in exports after financial crisis is mainly due to the government policies and support to every province.

Validity and Reliability of an Instrument for Predictive Nursing Intention for SARS Patient Care (SARS 환자간호 의도예측 도구의 타당도 및 신뢰도 검증 연구)

  • Yoo, Hye Ra;Kwon, Bo Eun;Jang, Yon Soo;Youn, Heun Keung
    • Journal of Korean Academy of Nursing
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    • v.35 no.6
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    • pp.1063-1071
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    • 2005
  • Purpose: This study was done to develop and test validity and reliability of on instrument for predicting nursing intention for SARS patient care. Method: The psychometric properties of a SARS patient care attrition prediction tool, based on the Theory of Planned Behavior, were examined in this study. The Three-phase design involved a) salient beliefs generated from clinical nurses (n=43) b) content validation by expert panel evaluations(n=5) c) face validation by plot testing (n=10) d) and instrument validation in a cross sectional survey (n=299). Psychometric analysis of survey data provided empirical evidence of the construct validity and reliability of the instrument. Result: Principal component analysis verified the hypothesized 6-factor solution, explaining $68.2\%$ of variance, and Alpha coefficients of .7538 to .9389 indicated a high internal consistency of the instrument. Conclusion: The instrument can be used by nurse administrators and researcher to assess clinical nurses' salient beliefs about caring for SARS patients, guide tailored intervention strategies to effective caring, and evaluate the effectiveness of interventions.

Do Firms with Historical Loss Disclose Less Social Responsibility Information?

  • YIN, Hong
    • The Journal of Industrial Distribution & Business
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    • v.11 no.1
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    • pp.19-28
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    • 2020
  • Purpose: This research aims to empirically investigate the motivation of corporate voluntary disclosure by exploring the impact of historical loss on corporate social responsibility disclosure (CSRD). Research design, data, and methodology: This paper takes Chinese A-share listed firms that issued standalone social responsibility reports during the period of 2009-2017 as a sample. Drawing on extant literature, this paper defines historical loss firms as firms with net profit greater than or equal to 0 and undistributed profit less than 0. The tendency score matching method (PSM) is used to find matching samples for historical loss firms. Then OLS regression is conducted to investigate the relationship between historical loss and corporate social disclosure. Results: The results show that historical loss has a significant positive impact on the quality of corporate social responsibility disclosure. After changing the measurement of independent and dependent variables as well as adopting different matching methods to screen the control group, the results still hold. Further research indicates that the relationship between historical loss and CSRD is influenced by corporate financing constraints and industry competition. Conclusions: This research supports the resource motivation hypothesis of corporate social responsibility disclosure, and provides empirical evidence for regulators to strengthen supervision on corporate disclosure.

Corporate Capital Structure Adjustments: Evidence from Vietnam Stock Exchange Market

  • NGUYEN, Cuong Thanh;BUI, Cuong Manh;PHAM, Tuan Dinh
    • The Journal of Asian Finance, Economics and Business
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    • v.6 no.3
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    • pp.41-53
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    • 2019
  • Building a target capital structure is one of the most important decisions in corporate financial management. The purpose of this article is to identify the determinants of capital structure and adjustment mechanism toward the target leverage. The partial adjustment model was applied on a sample of 306 non-financial companies listed on Vietnam stock exchange market during the period of 2008-2017. By the fixed effect model estimation method, the research results have discovered the factors of growth opportunities, firm size, tangible fixed assets and firm's unique characteristics have a positive effect on the target capital structure of enterprises. Besides, profitability and dividend payment have a negative effect on the target capital structure of enterprises. Accordingly, the research results show that the average adjustment speed toward target leverage of the firms is 90.03%. Research results also demonstrate firms have higher or lower debt ratio than the target debt ratio, capital surplus or capital deficit also have an impact on the adjustment rate toward the target capital structure. The research results are consistent with the Dynamic Trade-off Theory. From this result, this article has provided policy implications for non-financial companies listed on Vietnam's stock market in building a reasonable target capital structure according to operating timeline to maximize enterprise value.

An Integrative Literature Review on Pain Alleviation Interventions for Hospitalized Children (입원 아동 대상 통증 완화 중재에 대한 통합적 고찰)

  • Cho, Haeryun;Lee, Jungmin;Kim, Shin-Jeong
    • Child Health Nursing Research
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    • v.26 no.2
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    • pp.254-266
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    • 2020
  • Purpose: The purpose of this study was to review pain alleviation intervention for Korean pediatric inpatients with reference to Kolcaba's Theory of Comfort. Methods: Whittemore and Knafl's integrative review methods were used. Articles published in Korean or English were identified through electronic search engines and scholarly web sites. Scientific, peer-reviewed articles published between 2006 and 2019 were included in this review. Twenty-seven articles that met the inclusion criteria were analyzed. Results: Among the 27 selected studies, three were descriptive, while 24 were interventional studies related to pain alleviation interventions. Pain alleviation interventions showed three attributes: identifying pain triggers and the child's response to pain, effective strategies for pain relief, and nurses' competence in pain management. Conclusion: The three attributes of pain alleviation interventions using the theory of comfort shown in this study were identified as important factors for obtaining evidence-based data on how to enhance the comfort of hospitalized pediatric patients. In addition, the attributes of pain alleviation interventions should be considered for hospitalized pediatric patients and their family members.

Multi-sensor Data Fusion Using Weighting Method based on Event Frequency (다중센서 데이터 융합에서 이벤트 발생 빈도기반 가중치 부여)

  • Suh, Dong-Hyok;Ryu, Chang-Keun
    • The Journal of the Korea institute of electronic communication sciences
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    • v.6 no.4
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    • pp.581-587
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    • 2011
  • A wireless sensor network needs to consist of multi-sensors in order to infer a high level of information on circumstances. Data fusion, in turn, is required to utilize the data collected from multi-sensors for the inference of information on circumstances. The current paper, based on Dempster-Shafter's evidence theory, proposes data fusion in a wireless sensor network with different weights assigned to different sensors. The frequency of events per sensor is the crucial element in calculating different weights of the data of circumstances that each sensor collects. Data fusion utilizing these different weights turns out to show remarkable difference in reliability, which makes it much easier to infer information on circumstances.

Impacts of Intrinsic Motivation and Gender Difference on Video Game Genre Usage: A Multiple Group Comparison Approach (내재적 동기와 성차가 비디오 게임 장르 이용에 미치는 영향: 다중 그룹비교 접근법을 이용한 이론적 모델 검증)

  • Kim, Jung Kyu;Ahn, Jungsun
    • The Journal of the Korea Contents Association
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    • v.13 no.6
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    • pp.67-76
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    • 2013
  • By integrating of intrinsic motivation theory and flow theory, this study sought to investigate the causal linkage among optimal balance of video game player's perceived skill and challenge, flow experience, intrinsic motivation and video game genre usage. A path analysis showed that the different types of video game usage were directly influenced by players' intrinsic motivations, which were also reinforced by players' flow experiences of enjoyment. However, the path model with a multiple group approach provided no strong evidence for gender differences in the relationships between the variables of interest.

Study of the structural damage identification method based on multi-mode information fusion

  • Liu, Tao;Li, AiQun;Ding, YouLiang;Zhao, DaLiang
    • Structural Engineering and Mechanics
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    • v.31 no.3
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    • pp.333-347
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    • 2009
  • Due to structural complicacy, structural health monitoring for civil engineering needs more accurate and effectual methods of damage identification. This study aims to import multi-source information fusion (MSIF) into structural damage diagnosis to improve the validity of damage detection. Firstly, the essential theory and applied mathematic methods of MSIF are introduced. And then, the structural damage identification method based on multi-mode information fusion is put forward. Later, on the basis of a numerical simulation of a concrete continuous box beam bridge, it is obviously indicated that the improved modal strain energy method based on multi-mode information fusion has nicer sensitivity to structural initial damage and favorable robusticity to noise. Compared with the classical modal strain energy method, this damage identification method needs much less modal information to detect structural initial damage. When the noise intensity is less than or equal to 10%, this method can identify structural initial damage well and truly. In a word, this structural damage identification method based on multi-mode information fusion has better effects of structural damage identification and good practicability to actual structures.

Wage and Performance Rating : New Evidence from Personnel Data of a Korean Large Firm (임금과 인사고과 : 대기업 인사데이터를 활용한 실증분석)

  • Eom, Dong-Wook
    • Journal of Labour Economics
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    • v.31 no.3
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    • pp.47-74
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    • 2008
  • Following two pioneering works, Medoff and Abraham(QJE 1980; JHR 1981) and Flabbi and Ichino(LE 2001) which use performance rating of personnel data as individual worker's productivity, this study replicates their analysis using a Korean large firm's personnel data(2000, male white collar workers). According to their methods through Mincerian earnings function, and multinomial logit model that links the distribution of wages and performance ratings, we find that seniority wages appeare continuously even if individual worker's productivity is controlled. Therefore we conclude that incentive or deferred compensation theory is more suitable than human capital theory.

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Determinants of E-invoice Adoption: Empirical Evidence from Vietnam

  • NGUYEN, Anh Huu;NGUYEN, Thao Phuong;DANG, Giang Tra Thi
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.7
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    • pp.311-321
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    • 2020
  • This paper aims to investigate the effect of the factors on the e-invoice at its infant stage of adoption in the context of Vietnam. Data were collected by using a questionnaire delivered to 318 participants who are managers and accountants of companies in Vietnam from June to September 2019. The statistical methods approaches are employed to address the research issues including Cronbach's Alpha testing, Explanatory Factor Analysis (EFA), and Confirmation Factor Analysis (CFA). Then, Structural Equation Modeling (SEM) is employed to assess the proposed hypotheses model of e-invoice adoption in Vietnam. The research findings showed that direct factors have a statistically significant impact on the e-invoice adoption towards behavior, and perceived behavioral control. Perceived usefulness and perceived ease-of-use positively affect attitude towards the behavior. These factors, in turn, are impacted by perceived compatibility. Based on the research results, some practicable suggestions are proposed in order to boost the number of Vietnamese enterprises voluntarily adopting e-invoice. This study indicates the important impacts of the user's attitude and perception about control ability on intention to use. In addition, some key intuitive recommendations were proposed aiming to improve the success of the e-invoice adoption of enterprises in the context of Vietnam.