Abstract:Abstract:This study uses trend of available data to explain Uganda's lint export performance in the periods prior and subsequent to Trade Liberalization. The study discovered that average growth rate of lint export from Uganda increased significantly in the period prior to trade liberalization but fell sharply in the period subsequent to Trade Liberalization. The study recommends for promotion of trade within the region to supplement Uganda's lint export to the world market.
“…In addition we also test for the serial autocorrelation in the residual if we find any evidence of autocorrelations we try to fix it buy adding or removing lags of our variables. Following Odongo and Muwanga (2014), response of Uganda's Economic Growth to shocks from Renewable Energy Consumption in the period between 1982 and 2018 can be presented as follows:…”
This study models renewable energy consumption and economic growth, with evidence from Uganda (1982-2018). The hypothesis that explains causality between renewable energy consumption and economic growth follows the growth, conservation, feedback and neutral. The study uses vector error correction model (VECM) and structural vector auto regression (VAR), within a multivariate data framework. The Pairwise Granger test was specifically used to establish the direction of causality between variables of study. The Johansen co-integration test was carried out to ascertain if there exists a long run relationship between renewable, domestic investment, foreign direct investment and real GDP. The results support the neutral hypothesis between renewable energy consumption and economic growth. The conclusion therefore is a unidirectional relationship running from of renewable energy consumption to economic growth.This paper provides insights into how renewable energy consumption drives economic growth and sustainable development.
“…In addition we also test for the serial autocorrelation in the residual if we find any evidence of autocorrelations we try to fix it buy adding or removing lags of our variables. Following Odongo and Muwanga (2014), response of Uganda's Economic Growth to shocks from Renewable Energy Consumption in the period between 1982 and 2018 can be presented as follows:…”
This study models renewable energy consumption and economic growth, with evidence from Uganda (1982-2018). The hypothesis that explains causality between renewable energy consumption and economic growth follows the growth, conservation, feedback and neutral. The study uses vector error correction model (VECM) and structural vector auto regression (VAR), within a multivariate data framework. The Pairwise Granger test was specifically used to establish the direction of causality between variables of study. The Johansen co-integration test was carried out to ascertain if there exists a long run relationship between renewable, domestic investment, foreign direct investment and real GDP. The results support the neutral hypothesis between renewable energy consumption and economic growth. The conclusion therefore is a unidirectional relationship running from of renewable energy consumption to economic growth.This paper provides insights into how renewable energy consumption drives economic growth and sustainable development.
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