Please use this identifier to cite or link to this item: http://ir.mu.ac.ke:8080/jspui/handle/123456789/5548
Title: Effect of Foreign exchange rate on Maritime sector performance in enhancing Economic growth in Kenya
Authors: Sudi Mwasinago, Amani
Siele, Richard
Agak, Thomas
Keywords: maritime
labor productivity,
generalized method of moments
Economic Growth
Issue Date: 2021
Publisher: Global Journals
Abstract: Maritime transport remains backbone of globalized trade and manufacturing supply chain, as more than 80% of world merchandise trade by volume is carried by sea. Maritime transport in Kenya takes care of 90% of Kenya’s international trade by volume. The objective of this study was to establish effect of labor productivity on maritime sector performance in enhancing economic growth in Kenya. Target population was Kenya Ports Authority and Kenya Ferry Services while Kenya Maritime Authority coordinated implementation of policies relating to maritime affairs. The study was guided by the Solow growth model and the production theory. The study adopted explanatory research design employing panel data using data on annual basis over the period 2000-2019. Simple Linear Regression and GMM Models were utilized. Using STATA 13.0 and applying Simple Regression model, results indicated that coefficient of foreign exchange rate was 3.5694 which was positive and significant at 5% level, , implying every one percent increase in coefficient of foreign exchange rate, output increased by 3.5694%. Applying GMM, results indicated that coefficient of foreign exchange rate was positive and significant at 5% level of significance, implying that for every increase in 1% of foreign exchange rate, output production increased by 3.2744%. On comparing results using Simple Regression and GMM models, effect and direction were the same with slight differences in quantity of coefficient of foreign exchange. Policy makers could consider improving on policies which could strengthen foreign exchange rate in order to increase output in maritime sector in Kenya.
URI: http://ir.mu.ac.ke:8080/jspui/handle/123456789/5548
Appears in Collections:School of Business and Economics

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