This thesis seeks to explore the dynamic relationship between militarisation, renewable and non-renewable energy, CO2 emissions and economic growth for the period of 1975-2016 in the case of Myanmar. Autoregressive Distributed Lag, Dynamic OLS, Fully Modified OLS Gregory Hansen Cointegration and Granger causality test are applied to analyse time series dataset. This thesis includes two different but interconnected papers that shed light on the multifaceted aspects of the military-economic, energy-economic and environment-economic relationship with each other. Paper 1 found that a 1% increase in military expenditure leads to a decrease in GDP of 0.63% but a 1% increase in energy consumption increases GDP by 4% in the long run over the period of 1975-2014. The Granger causality test located bidirectional causality between militarisation and energy consumption, and militarisation and economic growth. Paper 2 provides an evidence that total energy use plays an insignificant role in promoting economic growth. However, decomposition analysis reveals that only renewable energy use significantly promotes, while non-renewable energy negatively influences, economic growth. Furthermore, non-renewable energy use is counterproductive in the presence of technological inefficiency. The overall results are robust under different estimation scenarios including structural break, endogeneity and mixed order of integration. This study presents a new avenue of knowledge by investigating the role of militarisation, aggregated and decomposed energy use, CO2 ¬emissions and technological efficiency in promoting economic growth in the context of Myanmar. The results emphasise the production and use of renewable energy to achieve sustainable economic development in Myanmar.
Keywords: ARDL, CO2 emissions, CO2 intensity, energy consumption, economic growth, militarisation, Myanmar, non-renewable energy use, renewable energy use.
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