Abstract:
Pakistan is facing perpetual and worsening energy crisis. For vision 2025 as announced by
Government of Pakistan in 2015, the most important litmus test is to overcome energy crisis with
imaginative and innovative choices of energy alternatives. The complexity of selecting the best
energy alternative is more pronounced in case of Pakistan as many socio-economic and
environmental factors influence the choice. Our country is blessed with both renewable and
nonrenewable energy alternatives and we have to select feasible alternatives for implementation to
reduce exiting increasing gap between energy supply and demand. Economic analysis of alternatives
using cost benefit analysis (CBA), though gives better monetary picture but, does not cover the
whole spectrum of social, environmental, political and ethical aspects which are pertinent for
selection of suitable energy alternatives in case of multidimensional society of Pakistan. Therefore,
this research was aimed to develop a versatile and comprehensive framework for the socio-economic
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analysis of renewable and non-renewable energy alternatives based on factors matrix comprising
socio-economic and environmental factors. Within the factors matrix approach, three methods were
used for analysis of energy alternatives; the statistical analysis of factors matrix to obtain trend and
ratings, digital analysis of the data by computer assisted qualitative data analysis software
(CAQDAS) to get the digitally iterated and attenuated models along with representative
economathical equations and economathical analysis of equations by Newton-Leibniz integration
process to obtain numerical value of the ratings. Based on the results obtained, a trend spectrograph
has been prepared for the entire country south to north. The results obtained from factors matrix
approach were compared with those obtained from the three constituent methods of cost benefit
approach which indicated that use of both approaches in conjuncture is a necessity in Pakistan to
cover multidimensional aspects in case of economic analysis of energy alternatives. At the end,
policy recommendations have been given in the context of vision 2025. Overall, thesis is a unique
combination of theoretical, digital and mathematical economics.
Key words: Socio-economic, analysis, energy, alternatives, factors, matrix, digital, economathical,
spectrograph.
JEL Classification: O22, O55, Q42, Q48.