Extraction of Index Components Based on Contents Analysis of Journal’s Scanned Cover Page

2006 ◽  
pp. 151-161 ◽  
Author(s):  
Young-Bin Kwon
Keyword(s):  
Index Components

scholarly journals ESG Disclosures and Stock Price Crash Risk

2021 ◽  
Vol 14 (2) ◽  
pp. 70 ◽  
Author(s):  
Rio Murata ◽  
Shigeyuki Hamori
Keyword(s):  
Dynamic Model ◽  
Stock Price ◽  
The United States ◽  
Crash Risk ◽  
Firm Level ◽  
Market Participants ◽  
Major Market ◽  
Market Index ◽  
Index Components ◽  
The Relationship

In this study, we investigate the relationship between environmental, social, and governance (ESG) disclosures and stock price crash risk. A stock price crash is a dreadful event for market participants. Thus, exploring stock price crash determinants is helpful for investment decisions and risk management. In this study, we use samples of major market index components in Europe, the United States, and Japan to perform regression analyses, after controlling for other potential stock price crash determinants. We estimate static two-way fixed-effect models and dynamic GMM models. We find that coefficients of firm-level ESG disclosures are not statistically significant in the static model. ESG disclosure coefficients in the dynamic model are not statistically significant in the U.S. market sample. On the other hand, coefficients of ESG disclosure scores in the dynamic model are statistically significant and negative in the European and Japanese marker sample. Our findings suggest that ESG disclosures lower future stock price crash risk; however, the effect and predictive power of ESG disclosures differ among regions.

scholarly journals Drivers of farm performance in Czech crop farms

2020 ◽  
Vol 66 (No. 7) ◽  
pp. 297-306
Author(s):  
Vladimír Kostlivý ◽  
Zuzana Fuksová ◽  
Tamara Rudinskaya
Keyword(s):  
Latent Class ◽  
Latent Class Model ◽  
Individual Characteristics ◽  
Class Model ◽  
Farm Accountancy Data Network ◽  
Class Definition ◽  
Structure Index ◽  
Farm Performance ◽  
Index Components

When analysing drivers affecting the farm performance, the presence of different technologies should be taken into account. We assume that the technology used by crop farms is not the same for all producers and therefore we use latent class model to identify technological classes at first. Class definition is based on multidimensional classification and determination of indices given by the values of individual components. The principal components analysis is applied to estimate significant and robust weights for the index components. FADN (Farm Accountancy Data Network) database, Czech crop farms data from 2005 to 2017 were used and three groups of technology classes of farms were identified with a determinant influence of the structure index and localisation. The other indices characterise sustainability, innovation, technology, diversification, and individual characteristics. Three distinct classes of crop farms were found, one major class and two minor classes. Family driven farms are usually smaller farms in terms of acreage. Highly sustainable crop farms are most likely located in lower altitudes and not in less-favoured areas. Innovative farms are also likely to be more productive. The results indicate that agricultural production farms with a more sustainable way of farming are most likely to be more productive.

scholarly journals A Study on the Influence of Social Leisure Activities on the Progression to the Stage of Frailty in Korean Seniors

2020 ◽  
Vol 17 (23) ◽  
pp. 8909
Author(s):  
AlChan Kim ◽  
Eunsurk Yi ◽  
Jiyoun Kim ◽  
MunHee Kim
Keyword(s):  
Positive Relationship ◽  
Senior Citizens ◽  
Frailty Index ◽  
Leisure Activities ◽  
Social Groups ◽  
Positive Association ◽  
Religious Activities ◽  
Men And Women ◽  
Social Leisure ◽  
Index Components

In this study, we performed a logistic regression analysis according to the frequency of participation in social leisure activities (education, clubs, social groups, volunteer activities, religious activities, and senior citizens’ welfare center use) by men and women aged ≥ 65 years. We investigated the frequency of participation in social leisure activities and their association with the level of frailty (health vs. pre-frailty, health vs. frailty, pre-frailty vs. frailty). This study included 10,297 older adults (men: 4128, women: 6169) who participated in the 2017 National Survey of Older Koreans, and were divided into three groups (healthy, pre-frailty, and frailty). Five frailty index components were used to measure the frailty level. There was a positive relationship between the elderly’s religious activities, four times a week, from the healthy stage to the frailty stage, from the healthy stage to the pre-frailty stage, and from the pre-frailty stage to the frailty. In addition, positive associations emerged in leisure activities and club activities, respectively, from the healthy stage to the frailty stage (once a week, respectively). Positive association also emerged from the healthy stage to the pre-frailty and from the pre-frailty stage to the frailty stage (once a month to once in a two-week period).

scholarly journals Development of quality index to classify meal healthiness through photos: first step for app of meal assessment using Machine Learning

2020 ◽  
Vol 79 (OCE2) ◽  
Author(s):  
Josiane Steluti ◽  
Jun Okamoto Junior ◽  
Dirce Maria Lobo Marchioni
Keyword(s):  
Food Intake ◽  
Quality Index ◽  
Processed Food ◽  
Cooking Method ◽  
Meat Intake ◽  
Significant Agreement ◽  
Meat Substitute ◽  
Meal Quality ◽  
Food Variety ◽  
Index Components

AbstractIntroduction:Currently, there are approximately 84 million smartphones in use in Brazil. The use of this technology facilitates the daily life of the individuals in the personal, social and professional scope. Therefore, we hypothesize that it can be used to assess and improve dietary intake. Thus, we intend to develop an application to assess meal quality from a photo taken by a smartphone, using artificial intelligence. For this, the machine should be trained to recognize which meal is healthy or unhealthy, and, as a first step, a meal quality index is necessary.Objective:This study aims to develop a meal quality index, to be applied to photos of dishes from a main meal.Methods:For the development of the index, it was considered the main recommendations established in the scientific literature and the “Dietary Guidelines for the Brazilian Population”. The index includes nine components: 1- meat intake and/or meat substitute, 2- cooking method, 3- vegetables intake, 4- whole food intake, 5- food variety, 6- ultra-processed food intake, 7- fruits intake, 8- carbohydrates intake, 9- fat recipes and/or food. First, questions were elaborated and scored as 0 point (unhealthy answer) or 1 point (healthy answer). After, the meal photo was classified as “needs improvement” (< 4 points), good (> 5 e < 7 points) and very good (> 8 points). Each photo was assessed by two experts. Then, statistical analyses were performed considering Kappa (k) statistic to evaluate the agreement between the assessments by experts.Results:Data from 154 meal photos were assessed. We analyzed the % of agreement, k-value and significant agreement (p-value) for all index components and final classification, respectively: 1- meat intake and/or meat substitute, 64.94% and k = 0.2759 (p < 0.001); 2- cooking method, 81.82% and k = 0.5915 (p = 0.000); 3- vegetables intake, 77.27% and k = 0.5353 (p = 0.000); 4- whole food intake, 98.05% and k = -0.0087 (p = 0.545); 5- food variety, 79.22% and k = 0.5899 (p = 0.000); 6- ultra processed food intake, 76.62% and k = 0.4515 (p = 0.000); 7- fruits intake, 94.81% and k = 0.8494 (p = 0.000); 8- carbohydrates intake, 65.58% and k = 0.2960 (p = 0.000); 9- fat recipes and/or food, 73.38% and k = 0.4654 (p = 0.000); and final classification, 58.44% and k = 0.3218 (p = 0.000).Conclusion:We verified a moderate and significant agreement for almost all index components using meal photo.

scholarly journals Analisis Pengaruh Islamicity Performance Index terhadap Profitabilitas Bank Umum Syariah di Indonesia Tahun 2014 – 2018

2020 ◽  
Vol 1 (1) ◽  
pp. 85-96
Author(s):  
Nadiya Zahra Rahmatullah ◽  
Fifi Afiyanti Tripuspitorini
Keyword(s):  
Performance Index ◽  
Commercial Banks ◽  
Sample Selection ◽  
Secondary Data ◽  
Profit Sharing ◽  
Return On Assets ◽  
Financial Reports ◽  
Panel Data Regression ◽  
Data Regression ◽  
Index Components

Sharia banking performance needs to be measured with an approach that is by sharia objectives in addition to using conventional approaches. An alternative to this approach is to use the Islamicity Performance Index. This study was conducted to obtain empirical evidence about the effect of Islamicity Performance Index components on the profitability of Islamic commercial banks in Indonesia which is proxied by Return on Assets (ROA). This research was conducted using seven samples of Islamic banks in Indonesia using the 2014-2018 quarterly financial reports. The sample selection method uses purposive sampling. The data used in this study are secondary data obtained from each Islamic bank's website. The method used in this research is panel data regression using the eviews 10 application program. The results of this research indicate that simultaneously the selected component of the Islamicity Performance Index has a significant effect on the profitability of Islamic Commercial Banks in Indonesia. Partially, the profit sharing ratio and zakat performing ratio have no significant effect on the profitability of Islamic Commercial Banks in Indonesia. Meanwhile, the equitable distribution ratio has a significant positive effect on the profitability of Islamic Commercial Banks in Indonesia.

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