Cost Analysis in the Community-Based School Transportation Service

Trihantoyo, Syunu; Sholeh, Mohammad; Setyowati, Enis

doi:10.2991/icet-19.2019.29

Cited by 1 publication

(1 citation statement)

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“…The study found that the respondents agreed to a large extent (M=3.85, SD=0.828) on the transportation costs for students on academic trips in the school being high due to the school location. The results of this study are consistent with that of Trihantoyo, Sholeh and Setyowati (2019) in a study based on the cost analysis of the community based transportation services which noted that the school location impacted on the school transportation costs. The schools that were remotely located would incur higher costs in contexts where the required services are often centralized in urban areas.…”

Section: Discussionsupporting

confidence: 89%

Influence of School Location on Cost Efficiency in Public Secondary Schools in Bomet County, Kenya

Kirui

Wamukuru

Flora

2022

EJES

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Kenyan public secondary schools are intended to run at a cost that is both cheap and sustainable. Despite this, the cost of education in most public secondary schools in Bomet County is still high in relative terms. This could indicate that public schools are operating inefficiently in terms of costs. The purpose of this study was to investigate the influence of school location on cost efficiency in public secondary schools in Bomet County, Kenya. The target population of the study was two hundred and seventy principals of public secondary schools and all the five Sub-County Directors of Education in Bomet County. Using stratified and simple random sampling approaches, a sample of 175 principals was chosen. The data was collected from the principals using a semi-structured questionnaire, and the data from the Sub-county Directors of Education was collected using an interview schedule. The data was collected from the principals using a semi-structured questionnaire, and the data from the Sub-county Directors of Education was collected using an interview schedule. The Content Validity Index was used to check for validity, and it found that all variables had an S-CVI of greater than 0.9, indicating that they were all valid and could be used in the study. All variables had Cronbach alpha coefficients of greater than 0.7, indicating that the variables were internally reliable enough to be used in the study. The data was analyzed and summarized using descriptive statistics, such as frequencies, means, and standard deviations. To test the hypotheses, the researchers employed simple linear regression analysis in inferential statistics to see how well school location could predict cost efficiency. Statistical operations on data analysis were performed using the Statistical Packages for Social Sciences (SPSS) statistics software. The influence of the school location on the cost efficiency in public secondary schools was examined using nine indicators. These indicators included the effects of school location on diverse expenses such as water services provision, electricity services provision, food supplies, administration cost, extracurricular activities, access to workshops and seminars, external support services, transportation costs, and missing on the cost-saving opportunities. The study results indicated that the respondents indicated that the school incurred huge expenses on water bills, and food supplies to a very small extent. The study also concluded on the presence of a statistically significant influence of school location on the cost efficiency of public secondary schools in Bomet County. These results were attributed to higher operational costs associated with their geographical remoteness and sparsely populated schools, which were then not able to benefit from economies of scale in their operations.

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Section: Discussionsupporting

confidence: 89%