The Impact of Non-Tariff Barriers on Performance of the Textile Manufacturing Industry in Kenya

dc.contributor.authorMaureen, Anne Amenya
dc.date.accessioned2022-09-20T13:44:55Z
dc.date.available2022-09-20T13:44:55Z
dc.date.issued2022-09-01
dc.descriptionCustom Administrationen_US
dc.description.abstractThe study sought to investigate why Kenya has been losing in terms of exports of its textile products. The study further intended to identify the impact of non-tariff barriers on performance of textile manufacturing industries. The general objective of the study was to assess the impacts that the various non-tariff measures have on textile industries’ performance. The specific objectives of this study were to establish the impact of import quotas, licenses, and subsidies on the performance of Textile Manufacturing Industry in Nairobi, Kenya. The descriptive research design was used to conduct this study. The target population for this study was 144 employees drawn from 29 textile industries in export processing zone Athi River. The primary data was collected through a structured questionnaire by use of a pick and drop procedure. The collected data was edited, coded, classified and tabulated then entered into a spreadsheet and analyzed using frequencies and percentages. The data was presented in tables, pie charts, graphs, and histograms. To enable answering of the research questions and objectives, the researcher employed descriptive analysis, multiple linear regression, and correlation analysis methods. All the concepts of stability, equivalence homogeneity, construct validity, content validity and criterion validity were put into consideration to ensure reliability and validity of the research instruments. The descriptive findings showed that the government has not put import quotas on importation of the raw materials to encourage consumption of local textile raw material. Also, the findings show that import quotas has helped in price level stabilization for locally manufactured textile products. Further, it has shown that for a person to participate in importation of textile raw material and products, the business person must obtain a business license. Lastly, the descriptive statistics shows that the governments meet the production cost of raw materials used in textile industry. The correlation analysis established a strong positive and significant correlation between import quotas and performance of textile manufacturing industries (R=0.552, p=0.002<0.05). Also, it was established that trade licenses had a strong and significant positive association with performance of textile manufacturing ndustries (R=0.521, p=0.009<0.05). Lastly, subsidies had a strong positive and significant correlation coefficient with performance of textile manufacturing industries (R=0.512, p=0.005<0.05). Import quotas had a positive beta coefficient which was statistically significant at (β1=0.097, p=0.000<0.050) while trade licenses had a positive beta coefficient (β2=0.081, p=0.040<0.050). Lastly, subsidies had a significant beta coefficient (β3=0.076, p=0.000<0.050). A conclusion is therefore made that imposing import quotas on importation of both raw materials and finished textile products is likely to lead to improved performance of textile manufacturing industry. Also, increased trade licenses requirements for importers of textile raw material and products is likely to lead to improved performance of local textile manufacturing industry while increased subsidies by government would lead to improved performance of local textile manufacturing industry. The current study therefore recommends that the government through KRA impose quotas on the importation of the raw materials used in the textile manufacturing industry so as to encourage consumption of local raw materials.en_US
dc.identifier.urihttps://ikesra.kra.go.ke/xmlui/handle/123456789/2314
dc.language.isoenen_US
dc.publisherKESRA/JKUAT - Unpublished research projecten_US
dc.subjectNon-Tariff Barriersen_US
dc.titleThe Impact of Non-Tariff Barriers on Performance of the Textile Manufacturing Industry in Kenyaen_US
dc.typeThesisen_US

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