This paper aims to examine the interrelationships between subnational conflicts in Myanmar and other variables of interests from the following four major domains: economic, human security and vulnerability of people, aggressiveness or militancy of the armed forces and global and regional climates.
Autoregressive distributed lag (ARDL) bounds testing approach has been applied on annual data from 1960-2017, to deal with the problems of autocorrelation and non-stationarity of key variables.
First, an increase in crop yield, cereal productivity, food productivity and per capita availability of arable land unequivocally and significantly lower the severity of conflict in Myanmar in the long run. Second, the authors uncover strong evidence that the intensity of conflicts bears a positive relationship with the vulnerability of the people of Myanmar. Third, the authors detect that both regional and global climate variables have limited and rather inconsistent impacts on subnational conflicts in Myanmar. Finally, the authors find that the aggressiveness (militancy index) of the armed forces has significant impacts upon subnational conflicts and economic variables of Myanmar in the long run.
This paper is completely data-driven and explains the long-term dynamics of the intensity of the civil war in Myanmar. ARDL bounds testing approach has been used to examine the interrelationships between subnational conflicts in Myanmar and other variables of interests. It is a novel approach, which overcomes the problems of autocorrelation and nonstationarity and offers reliable results.
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