"Statewise Correlates of Civil Nuclear Energy,"
M.S. Thesis, Texas A&M University, December 2014.
Quantitative empirical analysis has been used in several works,
over the past decade or so, to identify correlates of states
motivation for pursuing military nuclear technology. Nelson and
Sprecher used such methodology to identify various national
attributes that correlate to states peaceful use of nuclear power
for electricity generation, which was termed as "Nuclear Reliance."
The major initial objective for the present work was to replace a
dichotomous subjective independent variable used by Nelson and
Sprecher to represent engagement in international commerce in civil
nuclear technology with more objectively defined variables carrying
a similar representation. Ordinary least squares stepwise
regression was applied to a dataset consisting of 27 independent
variables that was created for this study. Data for 13 of 27
independent variables were added to the dataset from previous
study, and 9 of 14 previous attributes data were updated.
Supervised stepwise regression was used to create a linear
regression model with five predictors having acceptable confidence
level (p < 0.01) and coefficient of determination R2 ≈ .51.
Results from the qualitative methods showed that states that trade
knowledge and material for nuclear power technology are involved in
civil nuclear power. Analyses of the individual steps at several
different levels of aggregation showed that some predictors were
included as a consequence of improvements to residuals only for a
few states. Preliminary results show that an analysis based on
change from some prior year (1980 was used, for illustrative
purposes) has considerable promise.
Associated Project(s):Motivating Factors of States Seeking to Acquire Civil Nuclear Programs