EXPLAINING THE DEMAND FOR DOMESTIC ALTERNATIVE POWER BACK-UP SYSTEM – A LOGISTIC REGRESSION APPROACH

Abstract

Power supply is a basic input required for progress of a civil society. Growing imbalance between demand and supply of power has resulted in a very steep increase in the demand for alternative domestic power backup system like battery and inverter, mini generator set etc. Specially in the urban areas. In statistical case studies where categorical results such as “successfulunsuccessful”, “present-not present”, “ill-not ill” are obtained as a result of data evaluation, the logistic regression is a rather suitable statistical method. In this paper, we have tried to estimate the probability of having an alternative domestic power generation system in an urban set up in West Bengal using logistic regression approach. Primary data were collected in Nadia district of West Bengal during 2009-2010. It has been observed that the level of per capita income, the duration of average daily power cut and presence of children in a family pursuing education do have a positive and significant influence on the demand for domestic alternative power back-up system.