Socio-Economic Analysis of Household Energy Security: Evidence from 3D Energy Losses Surface Maps (ELSMs) of a Town Using Conjuncture of Factors Matrix, Digital and Mathematical Analysis

Pakistan is facing perpetual and worsening energy crisis. For vision 2025, the most important litmus test is to overcome energy crisis and ensure energy security by imaginative and innovative energy alternatives. In the same context, scientists, experts and researchers have been focusing on renewables and non-renewable energy generation alternatives, but have largely ignored the flip side. The extravagant use of energy, unlawful connections and losses in distribution system are contributors to ongoing energy crisis. For energy security in a developing country like Pakistan, elimination of energy losses seems a viable option, alongside generation of energy. Therefore, there is a need to have socio-economic analysis of energy losses. In this paper, energy losses for electricity were estimated for Lali Bagh Town of Peshawar, Khyber Pakhtunkhwa Province using a versatile and innovative socio-economic framework. This framework was based on factors matrix comprising socio-economic, environmental and energy factors pertaining to households. Within the factors matrix approach, three methods were used for analysis of energy losses; the statistical analysis to obtain trend and ratings of electricity losses, digital analysis of the data by computer assisted qualitative data analysis software (CAQDAS) to get the digitally iterated and attenuated models along with representative equations and mathematical analysis of equations by Newton-Leibniz integration process to obtain numerical value of the ratings. Based on the results obtained, three dimensional energy losses surface maps (ELSMs) were prepared for Lali Bagh Town of Peshawar, Khyber Pakhtunkhwa Province. At the end, policy recommendations have been given in the context of vision 2025. Paper is a unique combination of theoretical, mathematical and digital cum spatial economics. JEL Classification: O22, Q21, Q31, Q41. Keywords: Socio-economic, Analysis, Energy, Security, Electricity, Losses, Factors, Matrix, Digital, Maps.