scholarly journals Factors Influencing Proper Zakah Payment in Dighalia Upazila of Khulna District, Bangladesh

2020 ◽  
Vol 5 (2) ◽  
Author(s):  
Md. Saddam Hossain ◽  
Khan Mehedi Hasan ◽  
Sarif Mohammad Khan
Keyword(s):  
Logistic Regression ◽  
Summary Statistics ◽  
Factors Affecting ◽  
Factors Influencing ◽  
Poverty And Inequality ◽  
Religious Book

The research identifies factors influencing proper zakah paying behavior in Dighalia upazila of Khulna district of Bangladesh. Summary statistics shows that most zakah amounts are paid in cash and are paid in the month of Ramadan. None paid zakah through any institution rather paid personally to both relatives and non-relatives. A logistic regression was used to identify factors affecting proper zakah payment. Result shows that performers of hajj and chilla have 80 percent and 73 percent more likelihood respectively to be exact zakah payers than those who have not performed those. Regular readers of religious book have 54 percent higher probability to be exact zakah payers than other category. The study suggests taking step to increase awareness of zakah payers in order to reduce poverty and inequality. As many zakah payers are unorganized and pay in piecemeal meal to many people and in uncoordinated way, collective and coordinated approach zakah management can bring greater effect.

scholarly journals Factors Influencing the Stages of Frailty among Korean Older Adults Focusing on Objective and Subjective Social Isolation

2021 ◽  
Author(s):  
Song Yi Han ◽  
Hye Young Jang ◽  
Young Ko
Keyword(s):  
Older Adults ◽  
Logistic Regression ◽  
Social Isolation ◽  
Social Relationships ◽  
Regular Exercise ◽  
Multiple Logistic Regression ◽  
Regression Analyses ◽  
Factors Affecting ◽  
Factors Influencing ◽  
Health Related

Abstract Background: Although many studies have investigated the factors influencing frailty, studies on factors affecting transition between frailty stages are insufficient. This study was conducted to identify factors influencing the stages of frailty in Korean older adults, focusing on objective and subjective social isolation. Methods: This study analyzed the data of 10,041 older adults from the 2017 National Survey of Older Koreans. Two multiple logistic regression analyses were performed to identify the factors influencing the frailty stages.Results: Among Korean older adults, 6% were in a frail stage, and 42.5% were in the pre-frail stage. The progression to the pre-frail stage was influenced by sociodemographic and health-related characteristics and by objective and subjective social isolation. Contrastingly, the transition from the pre-frail to frail stage was influenced by factors including objective social isolation, declining hearing, and lack of regular exercise.Conclusions: In the development of future interventions, researchers should consider differences in factors that influence the stages of frailty among Korean older adults. Interventions that help older people maintain existing social relationships or connect to new social networks can delay the transition from the pre-frail to frail stages.

scholarly journals PENERAPAN REGRESI LOGISTIK DALAM PENENTUAN FAKTOR YANG MEMPENGARUHI JUMLAH WISATAWAN ECOTOURISM DESA BEDONO

2020 ◽  
Vol 5 (1) ◽  
pp. 11-22
Author(s):  
Wilis Ari Setyati ◽  
Sunaryo Sunaryo ◽  
Arya Rezagama ◽  
Abel Kristanto Widodo ◽  
M Faisal Alfa Yulianto
Keyword(s):  
Logistic Regression ◽  
Data Collection ◽  
Factors Affecting ◽  
Factors Influencing ◽  
The People ◽  
Determining Factors ◽  
Spss Software ◽  
To Come ◽  
The Village ◽  
Additional Income

Kegiatan pariwisata merupakan salah satu sektor vital yang dapat diandalkan oleh masyarakat suatu desa untuk memperoleh pendapatan tambahan. Desa Bedono merupakan salah satu desa pesisir yang terletak di Kecamatan Sayung, Kabupaten Demak. Sebagai salah satu desa pesisir, Desa Bedono mengalami tekanan dari aktivitas di darat maupun di lautan. Dampak yang paling terlihat adalah rusaknya infrastruktur akibat banjir rob. Hal ini tentu menghambat wisatawan yang ingin datang berkunjung ke Desa Bedono. Penelitian ini bertujuan untuk mengetahui faktor-faktor yang mempengaruhi wisatawan untuk datang ke Desa Bedono. Pengumpulan data dilakukan dengan kuesioner berisi pertanyaan tertutup dengan jumlah responden sebanyak 100. Pengolahan data menggunakan regresi logistic dengan bantuan software SPSS. Hasil penelitian ini menunjukkan bahwa faktor yang mempengaruhi wisatawan untuk datang ke Desa Bedono ada tiga, yaitu: respon warga desa terhadap banjir rob (X1), prioritas masalah lingkungan (X3) dan jenis wisata yang ditawarkan (X11) dilihat dari nilai significance yang berada di bawah 1% dan 5%. Setelah mengetahui faktor-faktor yang mempengaruhi wisatawan untuk datang ke Desa Bedono, diharapkan warga dapat memaksimalkan potensi sehingga dapat meningkatkan jumlah wisatawan.APPLICATION OF LOGISTIC REGRESSION IN DETERMINING FACTORS AFFECTING THE NUMBER OF ECOTOURISM ASSESSMENT IN BEDONO VILLAGE. Tourism activities are one of the vital sectors that can be relied upon by the people of a village to obtain additional income. Bedono Village is a coastal village located in Sayung Subdistrict, Demak Regency. As one of the coastal villages, Desa Bedono experiences pressure from activities on land and in the ocean. The most noticeable impact is damage to infrastructure due to tidal flooding. This certainly inhibits tourists who want to come to visit Bedono Village. This study aims to determine the factors that influence tourists to come to the village of Bedono. Data collection was carried out with a questionnaire containing closed questions with 100 respondents. Data processing used logistic regression with the help of SPSS software. The results of this study indicate that there are three factors influencing tourists to come to Bedono Village, namely: villagers' responses to tidal floods (X1), priority environmental problems (X3) and types of tours offered (X11) seen from the significance value at under 1% and 5%. After knowing the factors that influence tourists to come to Bedono Village, it is hoped that residents can maximize their potential so that they can increase the number of tourists.

scholarly journals Factors Influencing Household Adoption of Solar Home System in Baso Liben District, Amhara Regional State of Ethiopia

2021 ◽  
Author(s):  
Asmare Mossie Zeru ◽  
Dawit Diriba Guta
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Information Access ◽  
Farm Income ◽  
Binary Logistic Regression Model ◽  
Factors Affecting ◽  
Factors Influencing ◽  
Regional State ◽  
Solar Home System

Abstract Background: Although solar energy is abundant, accessible, affordable, and ecologically and environmentally friendly, in rural Ethiopia the majority of households are still using pollutant kerosene for lighting. It is important to understand the demand and supply-side factors affecting adoption of technology. For this purpose, this study investigates the factors influencing household adoption of the solar home system (SHS).Methodology: The data used for the econometric model was collected from randomly selected 228 solar home system adopter and 143 non- adopter households in Baso Liben district, Amhara regional state of Ethiopia. The logistic regression model was applied to examine the factors affecting households’ willingness to adopt SHS. Results: The finding of this study shows significant variation in many of the socioeconomic and demographic characteristics between adopters and non-adopters. The result of the binary logistic regression model indicated that as income of a household increase, their propensity to adopt solar home system also increases. Likewise, participation in off-farm income activities, house type, educational status of the head, training access, media access, and prior knowledge of the technology positively correlated with the probability of adoption. On the other hand, the gender of the head (being male) and access to electricity were negatively associated with the adoption of SHS. Conclusion: Therefore, policy measures should create awareness through training, education, and information access or better media availability, and improving the economic status of households through creating lucrative off-farm income-earning opportunities to achieve enhanced adoption of the solar home system.

scholarly journals Factors Influencing Household Adoption of Solar Home System in Baso Liben District, Amhara Regional State of Ethiopia

2020 ◽  
Author(s):  
Asmare Mossie Zeru ◽  
Dawit Diriba Guta
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Information Access ◽  
Educational Status ◽  
Farm Income ◽  
Binary Logistic Regression Model ◽  
Factors Affecting ◽  
Factors Influencing ◽  
Solar Home System

Abstract Background: Although, solar energy is abundant, accessible, affordable, and ecologically and environmentally friendly, in rural Ethiopia the majority of households are still using pollutant kerosene for lightning. It is important to understand demand and supply-side factors affecting the adoption of the technology. For this purpose, this study investigates the factors influencing household adoption of solar home system (SHS). Methodology: The data used for the econometric model was collected from randomly selected 228 adopters and 143 non-adopter households in Baso Liben district, Amhara region of Ethiopia. The logistic regression model was applied to examine the factors affecting household adoption of solar home system. Results: The finding of this study shows significant variation in many socioeconomic and demographic characteristics between adopters and non-adopters of solar home system. The result of the binary logistic regression model indicated that as income of household increase, their propensity to adopt solar home system also increases. Likewise, participation in off-farm income activities, house type, educational status, training access, media access, and prior knowledge positively correlated with the adoption of SHS. On the other hand, gender and access to electricity are negatively associated with the adoption of SHS. Conclusion: Policy measures should create awareness through training, education, and information access or better media availability, and improving the economic status of households through creating lucrative off-farm income-earning opportunities to achieve enhanced adoption of the solar home system.

Customer’s satisfaction on service quality at Vietnam Technological and Commercial Joint Stock Bank – An Giang Branch

2020 ◽  
Vol 4 (3) ◽  
pp. First
Author(s):  
Tran Minh Hieu ◽  
Nguyen Duong Ngoc Mai Chi
Keyword(s):  
Customer Satisfaction ◽  
Service Quality ◽  
Test Method ◽  
Quality Of Services ◽  
Factors Affecting ◽  
Factors Influencing ◽  
Alpha Reliability ◽  
Survey Results ◽  
Development Orientation

This study applied SERVQUAL scale of Parasuraman et al to measure factors affecting customer satisfaction on service quality at Vietnam Technological and Commercial Joint Stock Bank - An Giang Branch (Techcombank An Giang). The study was conducted to survey 207 customers who have been using the service at Techcombank An Giang. The survey results were analyzed by the Cronbach's Alpha reliability test method, then used Exploratory factor analysis (EFA) to verify and evaluate the scale of service quality. The results of the regression analysis show that customer's satisfaction about service quality at Techcombank An Giang includes four factors: The factor with the highest level is the Empathy with Beta = 0.253, the second of factor is the Responsibility with Beta = 0.248, ranked third in the influence level is the Tangible with Beta = 0.235, and the lowest impact level is the Reliability with Beta = 0.144. The research also uses statistical methods to describe and test the differences of demographic factors with customer's satisfactionon service quality.The analysis results show that there is no difference between customer's satisfaction on service quality and factors such as gender, age, income, number of transaction banks, regular transaction banks, and time to use the service at Techcombank An Giang. Through the research results, the author would like to propose some ideas to improve the quality of services, thereby attracting new customers and importantly, keeping traditional customers because the development orientation of Techcombank is to take care of old customers to cross sell other products of the bank. The Stud results offer a basis for the branch to identify the factors influencing customer satisfaction on their service quality, thereby having an appropriate strategy to improve customer satisfaction.

Factors Influencing Utilisation of Maternal Healthcare Services: Womens Perception

2015 ◽  
Vol 4 (1and2) ◽  
Author(s):  
Gyanvati
Keyword(s):  
Healthcare Services ◽  
Maternal Healthcare ◽  
Factors Affecting ◽  
Factors Influencing ◽  
Economic Background ◽  
Newborn Child

This paper analyses the factors affecting for utilization of maternal healthcare services. Following is the section wise description of the paper. Firstly, the paper looks into socio-economic background of women. Secondly, the paper focuses on usage of maternal healthcare services by women. Thirdly, the paper also traces the factors affecting for usage of maternal healthcare services. Lastly, the paper concludes and suggests by emphasizing the significance of proper utilization of maternal healthcare services that it leads to better health of mother and their newborn child.

Assessment of factors affecting short-term pulmonary functions following cardiac surgery: A prospective observational study

2021 ◽  
pp. 021849232110100
Author(s):  
Neetika Katiyar ◽  
Sandeep Negi ◽  
Sunder Lal Negi ◽  
Goverdhan Dutt Puri ◽  
Shyam Kumar Singh Thingnam
Keyword(s):  
Cardiac Surgery ◽  
Pulmonary Function ◽  
Forced Vital Capacity ◽  
Vital Capacity ◽  
Forced Expiratory Volume ◽  
Pulmonary Complications ◽  
Operative Morbidity ◽  
Factors Affecting ◽  
Factors Influencing ◽  
Significant Impairment

Background Pulmonary complications after cardiac surgery are very common and lead to an increased incidence of post-operative morbidity and mortality. Several factors, either modifiable or non-modifiable, may contribute to the associated unfavorable consequences related to pulmonary function. This study was aimed to investigate the degree of alteration and factors influencing pulmonary function (forced expiratory volume in one second (FEV1) and forced vital capacity), on third, fifth, and seventh post-operative days following cardiac surgery. Methods This study was executed in 71 patients who underwent on-pump cardiac surgery. Pulmonary function was assessed before surgery and on the third, fifth, and seventh post-operative days. Data including surgical details, information about risk factors, and assessment of pulmonary function were obtained. Results The FEV1 and forced vital capacity were significantly impaired on post-operative days 3, 5, and 7 compared to pre-operative values. The reduction in FEV1 was 41%, 29%, and 16% and in forced vital capacity was 42%, 29%, and 19% consecutively on post-operative days 3, 5, and 7. Multivariate analysis was done to detect the factors influencing post-operative FEV1 and forced vital capacity. Discussion This study observed a significant impairment in FEV1 and forced vital capacity, which did not completely recover by the seventh post-operative day. Different factors affecting post-operative FEV1 and forced vital capacity were pre-operative FEV1, age ≥60, less body surface area, lower pre-operative chest expansion at the axillary level, and having more duration of cardiopulmonary bypass during surgery. Presence of these factors enhances the chance of developing post-operative pulmonary complications.

scholarly journals Poverty and survival from COVID-19 in Mexico

2020 ◽  
Author(s):  
Rebeca Olivia Millán-Guerrero ◽  
Ramiro Caballero-Hoyos ◽  
Joel Monárrez-Espino
Keyword(s):  
Cox Regression ◽  
Secondary Data ◽  
Multidimensional Poverty ◽  
Preventive Strategy ◽  
Poverty Level ◽  
Factors Affecting ◽  
Extreme Poverty ◽  
Lower Survival ◽  
Hazard Ratios ◽  
Poverty And Inequality

Abstract Background Recent evidence points to the relevance of poverty and inequality as factors affecting the spread and mortality of the COVID-19 pandemic in Latin America. This study aimed to determine whether COVID-19 patients living in Mexican municipalities with high levels of poverty have a lower survival compared with those living in municipalities with low levels. Methods Retrospective cohort study. Secondary data was used to define the exposure (multidimensional poverty level) and outcome (survival time) among patients diagnosed with COVID-19 between 27 February and 1 July 2020. Crude and adjusted hazard ratios (HR) from Cox regression were computed. Results Nearly 250 000 COVID-19 patients were included. Mortality was 12.3% reaching 59.3% in patients with ≥1 comorbidities. Multivariate survival analyses revealed that individuals living in municipalities with extreme poverty had 9% higher risk of dying at any given time proportionally to those living in municipalities classified as not poor (HR 1.09; 95% CI 1.06–1.12). The survival gap widened with the follow-up time up to the third to fourth weeks after diagnosis. Conclusion Evidence suggests that the poorest population groups have a lower survival from COVID-19. Thus, combating extreme poverty should be a central preventive strategy.

Analysis on application level based on ordinal logistic regression and best of advanced manufacturing technologies (AMT) selection based on fuzzy-TOPSIS integration approach

2021 ◽  
pp. 1-11
Author(s):  
Guilian Wang ◽  
Liyan Zhang ◽  
Jing Guo
Keyword(s):  
Logistic Regression ◽  
Organizational Factors ◽  
Fuzzy Topsis ◽  
Ordinal Logistic Regression ◽  
Industrial Robots ◽  
Policy Implications ◽  
Market Pricing ◽  
Factors Affecting ◽  
Pricing Power ◽  
The Core Competence

This paper try to fully reveal the key factors affecting the the level of AMT application in micro- and small enterprises (MSEs) from its organizational factors by ordinal logistic regression. The results show that MSEs have a relatively high level of AMT application as a whole due to the maturity and cost reduction of basic technologies such as artificial intelligence, digital manufacturing and industrial robots. In this paper we propose manufacturing world analysis at Application using Logistic Regression and best AMT selection using Fuzzy-TOPSIS Integration approach.Considering the influence mechanism of each factor, the important factors that affect the application level of AMT are the enterprise’s market pricing power, the main production types, technical, market and management capabilities, organization development incentives and the interaction with external stakeholders. Based on the results above, the following policy implications are proposed: further expanding the customized production in MSEs to gradually improve the market pricing power, expanding the core competence of enterprises, enhancing the employee autonomy, and strengthening the interaction with industry organizations.

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