scholarly journals Excessive application of chemical fertilizer and organophosphorus pesticides induced total phosphorus loss from planting causing surface water eutrophication

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Liyuan Liu ◽  
Xiangqun Zheng ◽  
Xiaocheng Wei ◽  
Zhang Kai ◽  
Yan Xu
Keyword(s):  
Surface Water ◽  
Total Phosphorus ◽  
Structural Equation ◽  
Organophosphorus Pesticides ◽  
Equation Model ◽  
Path Coefficient ◽  
Natural Conditions ◽  
Factors Affecting ◽  
Water Eutrophication ◽  
Anthropogenic Drivers

AbstractTotal phosphorus (TP) loss from planting was one of the resources causing agricultural non-point source pollution. It is significant to clarify the factors influencing TP loss, as well as explore the relationship between TP loss from planting and surface water eutrophication for making recommendations on the reduction of environmental pollution. In this study, the minimum and maximum of average TP loss was appeared in Qinghai and Shandong province with the TP loss of 7.7 × 102 t and 7.5 × 103 t from 2012 to 2014, respectively. The results of structural equation model (SEM) indicating that the effect of anthropogenic drivers on TP loss was more important than natural conditions due to the higher path coefficient of anthropogenic drivers (0.814) than that of natural conditions (0.130). For anthropogenic drivers, the path coefficients of usage of fertilizer and pesticides, which was often excessively applied in China, were 0.921 and 0.909, respectively causing they the two dominant factors affecting TP loss. Annual precipitation and relative humidity, which were belongs to natural conditions, increased TP loss by enhancing leaching and surface runoff. However, light duration could reduce TP loss by promoting crop growth and increasing TP absorption of crops, with a path coefficient of − 0.920. TP loss of each province in per unit area from planting was significantly correlated with TP concentration of its surface water (p < 0.05), suggesting that TP loss from planting was the main factor causing surface water eutrophication. This study targeted presented three proposals to reduce the TP loss from planting, including promotion of scientific fertilization technologies, restriction of organophosphorus pesticides, and popularization of water saving irrigation technologies. These findings as well as suggestions herein would provide direction for the reduction of TP loss from planting.

scholarly journals Analysis of factors affecting students going to school toilets in a rural primary school in China

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Tang Shao ◽  
Jingjing Zhao ◽  
Haijuan Hu ◽  
Qi Zhang
Keyword(s):  
Factor Analysis ◽  
Primary Schools ◽  
Structural Equation ◽  
Visual Experience ◽  
Reliability And Validity ◽  
Equation Model ◽  
Path Coefficient ◽  
Factors Affecting ◽  
Hygiene Practices ◽  
Reported Data

Abstract Background Several factors may affect students going to school toilets, but a few studies have analyzed the reasons for students using toilets. This study aimed to use a structural equation model to understand the factors that impacted children’s toilet behavior. Methods This study was performed in 12 rural nonboarding primary schools (6 schools in the northern and 6 schools in the southern regions of China). All students of the third and sixth grades (761 students) were examined. A questionnaire on students’ toilet behavior was used. The questionnaire included 33 perceptual items based on 5 factors: toilet facilities, cleanliness, hygiene practices, peer relationship, and experience. The questionnaire also covered the frequency of voiding and defecating by themselves. The exploratory factor analysis, confirmatory factor analysis, and pathway analysis were used to analyze the causes of students’ toilet behavior. Results A statistically significant correlation coefficient of 0.300 indicated that cleanliness impacted the toilet frequency of students. The visual experience of the overall cleanliness of the toilet had the most significant impact on students’ toilet behavior (path coefficient, 0.81). Washing facilities and convenient handwashing had the least impact on toilet use (path coefficient, 0.52). Conclusion Cleanliness was the primary consideration for students’ toilet use on campus. The visual experience of the overall cleanliness of toilets had the most significant impact when students used toilets. No pre-survey was conducted to test the reliability and validity of the questionnaire. Using self-reported data might be associated with potential recall errors.

A Study on Factors Affecting on Customer Intention to Use the Express Bus

2018 ◽  
Vol 34 (5E) ◽  
Author(s):  
Phuong Nguyen Van ◽  
Hieu Trung Nguyen ◽  
Toan Bao Le
Keyword(s):  
Local Government ◽  
Service Quality ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Perceived Value ◽  
Equation Model ◽  
Corporate Image ◽  
Organizational Image ◽  
Factors Affecting ◽  
Managerial Implications

The improvement of transit service quality is an essential role in developing urban and interstate transportation. The local government, as well as bus service companies, should understand the behavioral intention of passengers to meet their expectation and requirements. This paper aims to highlight such behavioral decision and investigate dominant factors that influence the customers’ decision to use the express bus. The study explores the case of express bus companies in Tay Ninh province, Vietnam. By using the structural equation model approach to analyze the data collected from 295 passengers, who have experienced in using the express bus, the results reveal that service quality has a significantly positive relationship with both perceived value and corporate image. Specifically, customer satisfaction and organizational image also positively influence behavioral intention. Meanwhile, service quality indirectly affects on behavioral intention throughout perceived value and corporate image. Based on the findings, we provided some insightful managerial implications and recommendations to managers of bus carriers, and valuable practical suggestions to policymakers in the local government of Tay Ninh province to improve the service quality to encourage more citizens to use the express bus.

scholarly journals The Mediating Role of Job Competence between Safety Participation and Behavioral Compliance

2021 ◽  
Vol 18 (11) ◽  
pp. 5783
Author(s):  
Jia-Ming Wang ◽  
Pin-Chao Liao ◽  
Guan-Biao Yu
Keyword(s):  
Structural Equation ◽  
Safety Management ◽  
Positive Impact ◽  
Equation Model ◽  
The Sustainable Development ◽  
Factors Affecting ◽  
Behavioral Compliance ◽  
Mediating Role ◽  
Chinese Company ◽  
Job Competence

The effective improvement of employee behavioral compliance and safety performance is an important subject related to the sustainable development of the construction industry. Based on data from a Chinese company (n = 290), this study used a partial least squares-structural equation model to clarify the relationship among safety participation, job competence, and behavioral compliance. Empirical analysis found that: (1) safety participation had a significant positive impact on employees’ behavioral compliance; and (2) job competence played a partial mediating role between safety participation and behavioral compliance. By selecting two new perspectives of safety participation and job competence, this study derived new factors affecting behavioral compliance, constructed a new theory about safety management, and conducted an in-depth discussion on improving behavioral compliance theoretically. Practically, the research put forward a new decision-making model, deconstructed the mechanism between safety participation and behavioral compliance, and provided new guiding strategies for improving employee behavioral compliance.

scholarly journals Structural Equation Model for Evaluating Factors Affecting Quality of Social Infrastructure Projects

2018 ◽  
Vol 10 (5) ◽  
pp. 1415 ◽  
Author(s):  
Shahid Hussain ◽  
Zhu Fangwei ◽  
Ahmed Siddiqi ◽  
Zaigham Ali ◽  
Muhammad Shabbir
Keyword(s):  
Structural Equation Model ◽  
Structural Equation ◽  
Equation Model ◽  
Infrastructure Projects ◽  
Social Infrastructure ◽  
Factors Affecting

scholarly journals Design, Explanation, and Evaluation of Training Model Structures Based on Learning Organization—In the Cement Industry with a Nominal Production Capacity of Ten Thousand Tons

2016 ◽  
Vol 10 (1) ◽  
pp. 163
Author(s):  
Hamid Rahimian ◽  
Mojtaba Kazemi ◽  
Abbas Abbspour
Keyword(s):  
Organizational Learning ◽  
Learning Organization ◽  
Structural Equation ◽  
Production Capacity ◽  
Organizational Factors ◽  
Training Model ◽  
Equation Model ◽  
Cement Industry ◽  
Individual Factors ◽  
Factors Affecting

This research aims to determine the effectiveness of training based on learning organization in the staff of cement industry with production capacity over ten thousand tons. The purpose of this study is to propose a training model based on learning organization. For this purpose, the factors of organizational learning were introduced by qualitative research in the form of open codes, axial codes, selective codes and the resulted observations, and then the final model was obtained by structural equation model. The data were collected from the staff of three cement companies of Abyek, Tehran, and Sepahan, with a statistical population of 1719 staff of cement industry. The qualitative research sample included 29 experienced experts in the field of cement industry, and the quantitative research sample included 326 staff and experts, who were selected by multi-stage cluster sampling. A self-made questionnaire consisting of 72 questions was used to measure quantitative variables. The reliability of the questionnaire was 0.93 and its content and face validity was determined by expert colleagues and professors, the structural equation model and regression was used to analyze the quantitative data. The results showed that the status of learning organization in cement companies is in average level. Finally, the obtained model consisted of both individual and organizational factors. The individual factors affecting organizational learning include teaching scientific content, perception, trust, and self-efficacy of training. The organizational factors affecting organizational learning include organizational culture, forming the structure, the method of management and leadership, preparing human resource (identity), adaption to the environment, policies, rules, and regulations, and achieving a viable product. The share of individual factors on learning organization is higher than the effect organizational factors; the share of each factor is also determined.

scholarly journals The Identification of Factors Affecting the Use of Pressurized Irrigation Systems by Farmers in Iran

Water ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 1532 ◽  
Author(s):  
Abdullah Momvandi ◽  
Maryam Omidi Najafabadi ◽  
Jamal Hosseini ◽  
Farhad Lashgarara
Keyword(s):  
Structural Equation ◽  
Agricultural Sector ◽  
Water Productivity ◽  
Equation Modeling ◽  
Path Coefficient ◽  
Mixed Method Research ◽  
Statistical Research ◽  
Irrigation Systems ◽  
Factors Affecting ◽  
Pressurized Irrigation

Climate change and water scarcity are the most important challenges of the agricultural sector, and pressurized irrigation systems (PISs) are one of the most significant ways to improve agricultural water productivity. The main purpose of this research was to identify the factors affecting the use of PISs by farmers. The statistical research population was a total of 2396 Iranian model farmers. The Cochran formula was used to determine the number of statistical samples. Accordingly, this comprised 331 people. The methodology of the study was mixed method research. The structural equation modeling technique, Mann–Whitney U, and Kruskal–Wallis tests were used to test the hypotheses. The results showed that the personal characteristics, tendency, attitude, self-efficacy, subjective norms, governmental support, environmental tensions, and technological features were the most important factors which influenced the farmers. It was found that all of these variables had a positive and significant relationship with the using of PISs by farmers, and they were able to predict 52% of the behavioral changes (R2) of the farmers. Among these variables, the attitude, with a path coefficient (β) of 0.48, had the highest impact on the using of PISs by the farmers.

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