Econometric modeling for energy losses and GHG emissions scenario: a governance case for toll digitalization

Abstract

There are growing climatic concerns of global warming due to increase of GHG emissions in the Earth’s atmosphere. There is a dire need of energy conservation and GHG emissions reduction by minimizing energy losses and bringing efficiencies in all processes including the transportation sector which has a major share. The business as usual case of energy losses and emissions from road transport with manual toll system has significant impacts not only on the atmosphere but also on non-renewables’ reserves and balance of payments of a country. It is a major challenge for energy sector governance and climate mitigation strategies worldwide. Thus, this paper aimed at developing econometric modeling for the assessment of various aspects and different scenarios of energy losses, emissions, BOPs and economic growth. The proposed modeling is based on multivariate Seemingly Unrelated Regression (SUR) model and can be used for informed decision-making process effectively. It will help in rationalizing the case for toll digitalization in order to accrue multiple benefits in terms of maintaining BOPs and environmental security with reduced emissions and energy losses.