5. 2018

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Browsing 5. 2018 by Subject "Cargo clearance"

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    Factors affecting clearance of imported goods at the Port of Mombasa
    (KESRA/JKUAT - Unpublished research project, 2018) Ndambuki, Lucy Mbula ; Mumia Benn MINCU, CPA.K
    The port of Mombasa clearly has a lot of potential to develop into one of the most efficient ports of the world, joining the likes of Port of Singapore and China ports, due to operational inefficiencies at the port, it is estimated that for every one container cleared at the port of Mombasa, 500 have been cleared in the port of Singapore. In the past five years, more than a thousand cases of complaints from importers and customs licensed clearing agents pertaining to the delays in the clearance of their containers have been reported; that it is taking about fourteen days to clear a consignment from the port. The study examined the causes of delay in the clearance of imported goods at the port of Mombasa. The study specifically determined the extent to which documentation procedures, involvement of personnel in verification and clearance and ICT system issues cause delay in the clearance of imported goods at the port of Mombasa. This study was founded on the single window system theory, stakeholders’ theory and transaction cost theory. The research design used was a descriptive survey. 1500 clearing firms in Kenya as obtained from KIFWA registrations office comprised the target population. The accessible or study population was the 316 clearing firms based in Mombasa. The study sample consisted of 177 clearing firms. The clearing firms whose employees participated in the study were selected through simple random sampling. To ensure that the research questionnaire was reliable, a pilot study was undertaken. Content validity of the questionnaire was ensured by consulting the supervisor. Cronbach’s alpha coefficient was used to test for reliability of the research questionnaire. Self-administered semi-structured questionnaires were used for collection of data. Descriptive statistics and inferential statistics were employed in data analysis. Descriptive statistical tools included frequencies, percentages, means and standard deviations. Inferential statistics included Pearson correlation analysis. Tables were used for presentation of study findings. The study found out that documentation procedures, personnel involvement in verification and clearance and ICT system issues cause delays in clearance at the port of Mombasa to some extent. It was concluded that the documentation procedures at DPC, NTC, enforcement, Pvoc, verification and DPC points are generally not fast and efficient. It was also concluded that assigned officers are not adequate enough to handle the assigned volume of cargo and some may not be very knowledgeable and efficient at work hence leading to delays in cargo clearance. The study also concluded that network connectivity problems adversely affect system functionality and efficiency at the port of Mombasa. The study recommended that clearing agents, KPA and KRA should put in place measures to ensure an expeditious documentation process, efficient and competent staff and uninterrupted network and computer systems’ connectivity.
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    Factors affecting Customs clearance of cargo at the Moi international airport Mombasa
    (KESRA/JKUAT - Unpublished research project, 2018) Makori, Kelvin Kibagendi ; Mumia Benn MINCU, CPA.K
    Cargo clearance at the Moi International airport Mombasa has been a major boast to the economy, opened regional and international markets as well as contributed to increased revenue collection. This happens when all the airport stakeholders come together towards achieving this common goal, starting from the cargo carriers, the Kenya Airports Authority, Immigration, clearing agents, police and the Kenya Revenue Authority officers. Therefore, cargo clearance at the airport is not a single organization’s affair but a joint collaboration of the said stakeholders. The purpose of this study was to examine the factors affecting cargo clearance at the Moi International Airport Mombasa. With the following objectives: To determine the extent to which customs human resources affect clearance of cargo at Moi international Airport to establish the extent to which risk management factors affects clearance of cargo at Moi International Airport and to establish the extent to which other stakeholders affect customs clearance of cargo at Moi International Airport. Stratified random sampling was used to collect data. A target population of seven hundred and three respondents involved in cargo clearance at the airport, sample size of two hundred and fifty five was selected from the population and primary data was collected using structured questionnaires. The findings on the factors affecting customs cargo clearance at the Moi International Airport were beneficial to the KRA, The government, KAA,Police, Immigration Department, Airlines and Clearing agents where they put into use the study findings and recommendations that will see the customs cargo clearance procedure ran as per the international and locally standards. The study found out that human resource factors were the most significant variable influencing customs cargo clearance, followed by risk management factors which the study found out that were second in significance when examining the factors that affect customs cargo clearance at the airport, this would assist all airport stakeholders to adhere to all risk identification and management policies that were proposed by the study. Findings on the extent of how other stakeholders affect custom cargo clearance at the airport showed that the customs cargo clearance process is a joint effort or procedure where all responsible stakeholders must be involved in order to make it a success.Based on the findings on the factors affecting customs clearance of cargo, the study concluded that risk management factors had the highest correlation of 0.698 followed by human resource factors with a correlation of 0.694 and last is human resource factors with a correlation of 0.615 to customs cargo clearance. Meaning that a lot of people were aware of the role played by KRA staff in customs cargo clearance at the airport, the study further concluded that risk cannot be eliminated completely and is inherent in all customs areas but can be managed through selection of available risk management techniques.
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    Factors influencing container cargo clearance at the inland container depot Embakasi
    (KESRA/JKUAT - Unpublished research project, 2018) Ayugi, Lawrence
    Delays on container cargo clearance has emerged and evident at ICD Embakasi Nairobi with indicated long clearance period or overstay of received containers at the port for more than 10- 12 days. The delay in clearing containers at the ICD is made worse by unclear communication in nominating containers for clearance at the ICD, inadequate cargo handling equipment, and long customs clearance procedures and requirements. The objective of the study is to assess the factors influencing container cargo clearance at the ICD Embakasi with focus on specific objectives, to establish the effects of customs documentation process on container cargo clearance at the ICDE, to determine the effects of handling equipment on container cargo clearance at ICDE and to find out the effects of transport infrastructure on container cargo clearance at ICDE This study adopted a descriptive research with survey of a total population of 200 and apply a stratified random sampling technique to select a sample size of respondents. The study uses questionnaires in order to bring out the results of the study as expected. Respondents are drawn from the departments within Kenya Revenue Authority, Clearing agents and Kenya Port Authority. The study analyzes the data using Statistical Package for Social Sciences (SPSS). From the research findings, the study concluded all the independent variables studied have significant effect on container cargo clearance at ICDN as indicated by the strong coefficient of correlation and a p-value which is less than 0.05. The overall effect of the analyzed factors was very high as indicated by the coefficient of determination. The overall P-value of 0.00 which is less than 0.05 (5%) is an indication of relevance of the studied variables, significant at the calculated 95% level of significance. This implies that the studied independent variables namely custom documentation process, handling equipment and transport infrastructure have significant effect on container cargo clearance at ICDN.