Abstract:
This paper has two objectives. First it attempts to detect the trend in the
present upshots of global warming temperature data. It has been done through the
estimation of the long memory fractional parameter, d using simulation technique in
the presence of additive outliers, which stand as wild observations generated in the
atmosphere due to global warming. Then, the study investigates into the impact of
global warming, precipitations and carbon concentration in the air on the particular
aspect of rice production in Bangladesh agriculture. The simulation result exhibits a
non-trend or a natural cyclical variability that is influenced by a stochastic process
in the case of climate change behavior with wild observations (outliers) that produce
a contradictory outcome of profound uncertainties against the case of true world
temperature systematic data trend. The results of regression analysis show that
climate change has a profound impact on rice productivity in Bangladesh
agriculture. Overall results of the study indicate that climate change has profound
effects on agricultural food production of Bangladesh agriculture
