scholarly journals Differences in Risk Perception of Water Quality and Its Influencing Factors between Lay People and Factory Workers for Water Management in River Sosiani, Eldoret Municipality Kenya

Water ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 2248
Author(s):  
Anne Wambui Mumbi ◽  
Tsunemi Watanabe
Keyword(s):  
Water Pollution ◽  
Risk Perception ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Risk Perceptions ◽  
Factory Workers ◽  
Bivariate Correlation ◽  
Correlation Analyses ◽  
Lay People ◽  
The Impact

This study evaluates the differences between risk predictors and risk perception regarding water pollution. Specifically, it focuses on the differences in risk perception between factory workers and lay people situated in textile industries near the River Sosiani in Eldoret, Kenya. The lay people are divided into two groups. The respondents living downstream are situated mostly in town centers and at the mid/lower parts of the river, and the respondents living upstream are mainly found at the upper parts of the River Sosiani. Data were obtained from 246 participants using questionnaires. Several factors influencing risk perception were selected to evaluate the degree of perceived risk amongst the groups. Descriptive statistics, mean score and correlation analyses, and multiple linear regression models were used to analyse the data. The one-way ANOVA results showed statistically different levels of risk perceptions amongst the groups. The partial and bivariate correlation analyses revealed the differences in scientific knowledge between respondents upstream and downstream. The multiple linear regression analysis showed that each group used different variables to determine risks in the region. In the factory group, 56.1% of the variance in risk perception is significantly predicted by sensorial factors, trust in the government’s capacity to manage water pollution and the impact of water pollution on human health. About 65.9% of the variance in risk perception of the downstream inhabitants is significantly predicted by sensorial factors, the possibility of industries generating water pollution, and previous experience with water pollution. For the respondents located upstream, age, sensorial factors, trust in the government and the possibility of being impacted by water pollution factors significantly predicted 37.05% of the variance in risk perception. These findings indicate that enhanced public participation in water governance amongst the residents of Eldoret town is needed, along with an understanding of the different characteristics of the respondents in the region during risk communication. This will boost awareness in the region and promote the adoption of better practices to minimise the adverse effects of water pollution faced by the region.

PENGARUH KUALITAS PELAYANAN DAN KEPERCAYAAN TERHADAP LOYALITAS NASABAH PT BANK MANDIRI,Tbk CABANG JAKARTA KELAPA GADING BARAT

2015 ◽  
Vol 3 (3) ◽  
Author(s):  
Imam Wibowo ◽  
Santi Putri Ananda
Keyword(s):  
Linear Regression ◽  
Service Quality ◽  
Multiple Linear Regression ◽  
Analysis Tool ◽  
Positive Contribution ◽  
Homogeneous Population ◽  
Independent Variables ◽  
Research Population ◽  
The Impact

Purpose-To study the impact of the service quality and trust on customers loyalty of PT.Bank Mandiri,Tbk; Kelapa Gading Barat Branch. To improve the customers loyalty there are several factors that can influence them, such as service quality and trust. Methodology/approach-The research population was all customers PT.Bank Mandiri,Tbk;Kelapa Gading Barat Branch.According to the homogeneous population and based on the Gay and Diehl Theory, the samples taken were 50 people. Variables in this investigations consisted of: a).Independent Variables (exogenous): Service Quality (X1) and Trust (X2). b).The dependent variable (endogenous) Customers Loyalty (Y). Analysis tool being used is multiple linear regression which previously conducted validity and realiability. Findings-The result of investigations that service quality and trust simultaneously have a very strong contribution of 75,5% to the customers loyalty, and partially showed that service quality has significant and positive contribution to the customers loyalty of 64,8%. Partially, the trust variable has significant and positive contribution which amounted to 55,9% to the customers loyalty.

Análise da relação entre O3, NO e NO2 usando técnicas de regressão linear múltipla.

GEOgraphia ◽  
2018 ◽  
Vol 20 (43) ◽  
pp. 124
Author(s):  
Amaury De Souza ◽  
Priscilla V Ikefuti ◽  
Ana Paula Garcia ◽  
Debora A.S Santos ◽  
Soetania Oliveira
Keyword(s):  
Time Series ◽  
Linear Regression ◽  
Nitrogen Dioxide ◽  
Multiple Linear Regression ◽  
Quality Parameters ◽  
Environmental Pollutant ◽  
Environmental Research ◽  
Linear Regression Models ◽  
Mato Grosso ◽  
The Impact

Análise e previsão de parâmetros de qualidade do ar são tópicos importantes da pesquisa atmosférica e ambiental atual, devido ao impacto causado pela poluição do ar na saúde humana. Este estudo examina a transformação do dióxido de nitrogênio (NO2) em ozônio (O3) no ambiente urbano, usando o diagrama de séries temporais. Foram utilizados dados de concentração de poluentes ambientais e variáveis meteorológicas para prever a concentração de O3 na atmosfera. Foi testado o emprego de modelos de regressão linear múltipla como ferramenta para a predição da concentração de O3. Os resultados indicam que o valor da temperatura e a presença de NO2 influenciam na concentração de O3 em Campo Grande, capital do Estado do Mato Grosso do Sul. Palavras-chave: Ozônio. Dióxido de nitrogênio. Séries cronológicas. Regressões. ANALYSIS OF THE RELATIONSHIP BETWEEN O3, NO AND NO2 USING MULTIPLE LINEAR REGRESSION TECHNIQUES.Abstract: Analysis and prediction of air quality parameters are important topics of current atmospheric and environmental research due to the impact caused by air pollution on human health. This study examines the transformation of nitrogen dioxide (NO2) into ozone (O3) in the urban environment, using the time series diagram. Environmental pollutant concentration and meteorological variables were used to predict the O3 concentration in the atmosphere. The use of multiple linear regression models was tested as a tool to predict O3 concentration. The results indicate that the temperature value and the presence of NO2 influence the O3 concentration in Campo Grande, capital of the State of Mato Grosso do Sul.Keywords: Ozone. Nitrogen dioxide. Time series. Regressions. ANÁLISIS DE LA RELACIÓN ENTRE O3, NO Y NO2 UTILIZANDO MÚLTIPLES TÉCNICAS DE REGRESIÓN LINEAL.Resumen: Análisis y previsión de los parámetros de calidad del aire son temas importantes de la actual investigación de la atmósfera y el medio ambiente, debido al impacto de la contaminación atmosférica sobre la salud humana. Este estudio examina la transformación del dióxido de nitrógeno (NO2) en ozono (O3) en el entorno urbano, utilizando el diagrama de series de tiempo. Las concentraciones de los contaminantes ambientales de datos y variables climáticas fueron utilizadas para predecir la concentración de O3 en la atmósfera. El uso de múltiples modelos de regresión lineal como herramienta para predecir la concentración de O3 se puso a prueba. Los resultados indican que el valor de la temperatura y la presencia de NO2 influyen en la concentración de O3 en Campo Grande, capital del Estado de Mato Grosso do Sul.Palabras clave: Ozono. Dióxido de nitrógeno. Series de tiempo. Regresiones.

scholarly journals Social Networks, Trust, and Disaster-Risk Perceptions of Rural Residents in a Multi-Disaster Environment: Evidence from Sichuan, China

2021 ◽  
Vol 18 (4) ◽  
pp. 2106 ◽  
Author(s):  
Kaijing Xue ◽  
Shili Guo ◽  
Yi Liu ◽  
Shaoquan Liu ◽  
Dingde Xu
Keyword(s):  
Social Networks ◽  
Risk Perception ◽  
Self Efficacy ◽  
Risk Perceptions ◽  
Ordinary Least Squares ◽  
Disaster Risk ◽  
Mountainous Areas ◽  
Rural Residents ◽  
Response Efficacy ◽  
The Impact

Individual perception of disaster risk is not only the product of individual factors, but also the product of social interactions. However, few studies have empirically explored the correlations between rural residents’ flat social networks, trust in pyramidal channels, and disaster-risk perceptions. Taking Sichuan Province—a typical disaster-prone province in China—as an example and using data from 327 rural households in mountainous areas threatened by multiple disasters, this paper measured the level of participants’ disaster-risk perception in the four dimensions of possibility, threat, self-efficacy, and response efficacy. Then, the ordinary least squares method was applied to probe the correlations between social networks, trust, and residents’ disaster-risk perception. The results revealed four main findings. (1) Compared with scores relating to comprehensive disaster-risk perception, participants had lower perception scores relating to possibility and threat, and higher perception scores relating to self-efficacy and response efficacy. (2) The carrier characteristics of their social networks significantly affected rural residents’ perceived levels of disaster risk, while the background characteristics did not. (3) Different dimensions of trust had distinct effects on rural residents’ disaster-risk perceptions. (4) Compared with social network variables, trust was more closely related to the perceived level of disaster risks, which was especially reflected in the impact on self-efficacy, response efficacy, and comprehensive perception. The findings of this study deepen understanding of the relationship between social networks, trust, and disaster-risk perceptions of rural residents in mountainous areas threatened by multiple disasters, providing enlightenment for building resilient disaster-prevention systems in the community.

scholarly journals A139 IMPROVED QUALITY OF LIFE AFTER ENDOSCOPIC THERAPY FOR BARRETT’S ESOPHAGUS AND EARLY ESOPHAGEAL CANCER IN SOUTHERN ALBERTA

2021 ◽  
Vol 4 (Supplement_1) ◽  
pp. 125-126
Author(s):  
T Jeyalingam ◽  
M Woo ◽  
S E Congly ◽  
J David ◽  
P J Belletrutti ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Barrett’S Esophagus ◽  
Barrett's Esophagus ◽  
Endoscopic Therapy ◽  
Negative Impact ◽  
Older Age ◽  
The Impact

Abstract Background In patients with Barrett’s esophagus (BE), endoscopic therapy reduces the risk of progression to invasive esophageal adenocarcinoma (EAC). Data on the impact of endoscopic therapy on patient quality of life (QoL) is limited. Aims We aimed to assess: (1) change in QoL during the course of endoscopic therapy for BE, (2) factors which predict this change, (3) whether achieving complete remission of dysplasia (CRD) or intestinal metaplasia (CRIM) affect the degree of change. Methods We conducted a retrospective observational study using a prospectively maintained database of BE patients treated in Calgary, Alberta from 2013–2020 containing data on demographics, BE disease characteristics and therapeutics, QoL, and follow-up. QoL was determined prior to initiation of therapy and after each treatment session using a validated questionnaire. Descriptive statistics were calculated and change in QoL was compared using a Wilcoxon signed ranks test. Backwards multiple linear regression analysis was performed to determine predictors of change in QoL. Results Of 130 BE patients, 112 (86.1%) were male and 104 (80%) had dysplastic histology or intramucosal carcinoma on index endoscopy. Mean (SD) age was 65.6 (12.0) years. At time of analysis, 76 patients (58.5%) had completed endoscopic therapy, of whom 69 (90.8%) achieved CRIM; 54 patients (41.5%) were still undergoing treatment. There was significant improvement in all QoL measures during the treatment course except for “depression” (Table 1). Patients with CRIM or CRD had reductions in “sleep difficulty” and “negative impact on life” to a significantly greater degree vs patients not achieving CRIM (Δ sleep -0.45 vs 0.0, P=0.002; Δ negative impact -0.4 vs -0.05, P=0.014) or CRD (Δ sleep -0.40 vs +0.60, P=0.002; Δ negative impact -0.40 vs +0.20, P=0.04). Multiple linear regression revealed older age (B=-0.03, P=0.008) and fewer number of EMR sessions (B=0.254, P=0.008) were correlated with greater improvement in QoL. Conclusions Endoscopic therapy improves QoL in BE patients, especially in those achieving CRIM/CRD. Older age and fewer EMRs are correlated with greater improvement in QoL. These results further reinforce the role of endoscopic therapy as the first line treatment of BE and early EAC. Funding Agencies None

scholarly journals The Impact of Leadership, Motivation and Discipline on Employee Performance (a Study on Employees of PT Surabaya Marine)

2021 ◽  
Author(s):  
Eva Trisnawati Chumairoh ◽  
Trianggoro Wiradinata
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Employee Performance ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Independent Variables ◽  
Leadership Motivation ◽  
The Impact

This purpose of this study was to determine the effect of leadership, motivation and discipline on employee performance. The independent variables were leadership (X1), motivation (X1) and discipline (X3). The dependent variable was employee performance (Y). This was explanatory research with a quantitative approach. The study was conducted at PT Surabaya Marine with employees. Data analysis was carried out through multiple linear regression analysis with the F test and t test. Employee performance was strongly influenced by leadership, motivation and discipline. Keywords: leadership, motivation, discipline, employee performance

scholarly journals Gender as moderator of the influence of tourists’ risk perception on destination image and visit intentions

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rita Rosa Carballo ◽  
Carmelo Javier León ◽  
María Magdalena Carballo
Keyword(s):  
Gender Differences ◽  
Risk Perception ◽  
Risk Perceptions ◽  
Structural Equation ◽  
Group Analysis ◽  
Destination Image ◽  
Content Type ◽  
Behavioural Intentions ◽  
Consumption Decisions ◽  
The Impact

Purpose This paper aims to study the influence of gender on the theoretical and empirical relationships between tourists’ risk perceptions and both destination image and behavioural intentions. Design/methodology/approach An empirical study was carried out with potential tourists at home in Germany and the UK considering travelling to Spain, Egypt, Morocco, Brazil, Colombia and Indonesia. Data were analysed using structural equation modelling with multi-group analysis. Findings Results show that gender moderates the theoretical relationships between risk perception and both destination image and behavioural intentions. Risk perception is higher for women than for men and depends on the type of risks and the characteristics of the destination. Women are more likely than men to reduce their visit to a destination whenever there is an increase in their risk perceptions. However, the influence of risk perception on destination image is higher for men than for women. Thus, results prove there are significant gender differences in the theoretical relationships between risk perceptions and destination image and visiting intentions. Originality/value This paper provides new evidence on the gender differences in risk perceptions in tourism and their impact on destination image and visiting intentions, showing that whenever there are higher risks at a tourist destination women do change more than men their behavioural intentions. The results are useful for designing risk management and promotion policies at destinations that avoid the masculinisation bias, thereby considering the impact of gender differences on travel behaviour and consumption decisions.

scholarly journals ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI MINAT BELI KONSUMEN PADA SITUS JUAL-BELI ONLINE

2020 ◽  
Vol 6 (2) ◽  
pp. 179
Author(s):  
I Gede Andri Setiawan ◽  
Sukardi Sukardi
Keyword(s):  
Data Analysis ◽  
Risk Perception ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Significant Influence ◽  
Regression Coefficient ◽  
Regression Coefficients ◽  
Test Results ◽  
Price Perception ◽  
Usefulness Perception

The purpose of this study were to analyze (1) the influence of trust of the purchase interest of online shop consumers, (2) the influence of risk perception of the  purchase  interest  of  online  shop  consumers,  (3)  the  influence  of  use fulness perception of the purchase interest of online shop consumers, (4) the influence of price perception of the purchase interest of online shop consumers. The populations in this research are  student of Ahmad Dahlah University Yogyakarta  Campus  One.  The  method  sample  is  purposif  sampling  with  the number  of  sample  as  much  as  100  respondents  from  three  Faculty  that  is, Economy  Faculty,  Psycology  Faculty,  and  FTDI.  Collecting  data  using questionnaires  that  was  done  validity  test  and  realibity  test.  This  research  was done by using multiple linear regression data analysis. The  results  of  this  study  indicate  that  (1)  the  trust  is  not  significant influence on consumer purchase interest of the sites online shop, this is evidenced by the significant value  is bigger  than the probability alpha value of 0.05 (0,206 > 0.05), and the regression coefficient has a  positive value of 0.062; (2)  the  trust is not significant influence on consumer purchase interest of the sites online shop, this  is  evidenced  by  the  significant  value  is  bigger  than  the  probability  alpha value of 0.05 (0, 0,234 > 0.05), and the regression coefficient has a positive value of  0.057;  (3)  the  usefulness  perception  is  significant  influence  on  consumer purchase interest of the sites online shop, this is evidenced by the significant value is  smaller  than  the  probability  alpha  value  of  0.05  (0.000  <  0.05),  and  the regression coefficients has a positive value of 0.456; (4) the price perception is not significant  influence on consumer purchase interest of the sites online shop, this  is  evidenced  by  the  significant  value  is  bigger  than  the  probability  alpha value of 0.05 (0.066 > 0.05), and the regression coefficient has a  positive value of  0.111;  and  (5)  trust,  risk  perception,  usefulness  perception  and  price perception  together  have  an  effect  on  consumer  purchase  interest  of  the  sites online  shop,  this  is  evidenced  by  the  significant  value  is  smaller  than  the probability alpha value of 0.05 (0.000 < 0.05). The R2 test results in this study was obtained  R2 value  of  0.413.  This  shows  that  purchase  interest  is  influenced  by trust, risk perception, use perception, and price  perception by 41.3%, while the remaining 58.7% is influenced by other factors not observed by the researcher or considered fixed.

Assessing impact of risk perception and environmental regulation on household carcass waste recycling behaviour in China

2019 ◽  
Vol 38 (5) ◽  
pp. 528-536
Author(s):  
Ruishi Si ◽  
Meizhi Wang ◽  
Qian Lu ◽  
Shuxia Zhang
Keyword(s):  
Risk Perception ◽  
Environmental Regulation ◽  
Significant Influence ◽  
Risk Perceptions ◽  
Waste Recycling ◽  
Policy Implications ◽  
Moderating Effects ◽  
Safety Risk ◽  
The Impact ◽  
Epidemic Diseases

Carcass waste recycling exerts an important influence on preventing epidemic diseases, improving the ecological environment, and promoting sustainable development of the livestock industry although it has rarely aroused widespread attention throughout the world. Based on the data of 470 households engaged in breeding pigs in Hebei, Henan, and Hubei, China, and considering dead pigs as an example, this study employed the Double Hurdle model to assess impact of risk perception on household dead pig recycling behaviour and further tested the moderating effects of environmental regulation on the impact of risk perception on household dead pig recycling behaviour. The results show that: (1) Risk perception has a positive and significant influence on household dead pig recycling behaviour; however, this influence is mainly caused by households’ production and public health safety risk perceptions. Food and ecological safety risk perceptions have no significant influence on household dead pig recycling behaviour. (2) Environmental regulation has enhanced moderating effects on the impact of risk perception on household dead pig recycling behaviour, but the moderating effects mainly arose from imperative, guiding, and voluntary regulations. A moderating effect of incentive regulation is not obvious. (3) The moderating effects of environmental regulations present strong heterogeneity when different breeding scales and recycling technical attributes are considered. Finally, some policy implications, such as improving households’ risk perception level, enhancing environmental regulation intensity, and classifying to formulate measures, are proposed.

scholarly journals A linear regression pattern for electricity price forecasting in the Iberian electricity market

2019 ◽  
pp. 117-127
Author(s):  
Ângela Paula Ferreira ◽  
Jenice Gonçalves Ramos ◽  
Paula Odete Fernandes
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Model ◽  
Electricity Price ◽  
Price Forecasting ◽  
Electricity Prices ◽  
Market Participants ◽  
Electricity Price Forecasting ◽  
The Impact

The Iberian Market for Electricity resulted from a cooperation process developed by the Portuguese and Spanish administrations, aiming to promote the integration of the electrical systems of both countries. This common market consists of organized markets or power exchanges, and non-organised markets where bilateral over-the-counter trading takes place with or without brokers. Within this scenario, electricity price forecasts have become fundamental to the process of decision-making and strategy development by market participants. The unique characteristics of electricity prices such as non-stationarity, non-linearity and high volatility make this task very difficult. For this reason, instead of a simple time forecast, market participants are more interested in a causal forecast that is essential to estimate the uncertainty involved in the price. This work focuses on modelling the impact of various explanatory variables on the electricity price through a multiple linear regression analysis. The quality of the estimated models obtained validates the use of statistical or causal methods, such as the Multiple Linear Regression Model, as a plausible strategy to achieve causal forecasts of electricity prices in medium and long-term electricity price forecasting. From the evaluation of the electricity price forecasting for Portugal and Spain, in the year of 2017, the mean absolute percentage errors (MAPE) were 9.02% and 12.02%, respectively. In 2018, the MAPE, evaluated for 9 months, for Portugal and Spain equals 7.12% and 6.45%, respectively.

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