Factors affecting consumer buying behaviour of solar water pumping system

Abstract

Purpose The purpose of this paper is to identify the factors influencing farmers’ intention to purchase solar water pumping systems (SWPS). Design/methodology/approach The research is based on primary data that have been collected from a total of 345 solar pump users from different villages and rural areas of Punjab (India). Exploratory and confirmatory factor analysis and multiple regression analysis have been used to examine the collected data. Multiple regression analysis is used to examine the identified dimensions’ impact on customer buying behaviour. Findings The results of analysis validated that consumer buying behaviour is significantly determined by cost, performance and government initiatives dimensions. However, dimensions such as eco-friendly product, information regarding product and company, environmental concern and social influence were found insignificant. Research limitations/implications The sample size has been selected on the basis of convenience sampling and sample has been taken from the rural area. Therefore, the result may not be representative of the overall population. The perception of respondents from one part may vary from another part of India. Originality/value By providing an insight into factors affecting consumer buying behaviour of SWPS, the proposed research attempts to fill the gaps in literature by conducting an empirical study on consumer buying behaviour. As the study relates to SWPS users, findings will be of additional value to solar product companies and the government.

Determinants of farmers’ decision to adopt solar powered pumps

“…People who are highly concerned about the environment are also of the view that preservation is the prime responsibility of the government itself (Farheen and Sehgal, 2018; Ministry of New and Renewable Energy, (MNRE), 2017). So it is very important for the government to justify its role by providing ample subsidies; and ultimately it will have an effect on the adoption of solar energy based products (Kumar et al , 2019; Horsky and Simon, 1983; Kalish and Lilien, 1983). Thus, keeping in mind its relevance it is imperative to consider this dimension to study the adoption decision for solar powered pumps.…”

“…Around 4 billion liters of diesel is being consumed in the agriculture sector in the form of fuel for diesel based pumps (Ministry of New and Renewable Energy, (MNRE), 2017; Adelekan, 2012). In addition to this, erratic electricity supply and high costs are observed to be plausible challenges for farmers, resulting in poor irrigation and yield losses (Kumar et al , 2019; Ministry of New and Renewable Energy (MNRE), 2013). The crop yield improvement by 10 per cent can be made possible if an essential volume of water for irrigation is available as to when required (Pavel and Rajagopal, 2017; International Energy Agency, 2013; Sudha, 2011; Chen, 2001).…”

Designing a decision support system to evaluate the environmental and extra-economic performances of a nearly zero-energy building

“…The first model analyzes the different alternatives according to the points of view of different actors. The multi-actor analysis is grounded in recent studies developed in the literature that have identified different user profiles, characterized by a different structure of preferences (Bottero et al , 2018a; Kumar et al , 2019). In the second model, it was decided to change the performance of the alternative solutions about the property value criterion so as to be able to explain the spatial phenomena related to energy efficiency appreciation.…”

Determinants of EVs adoption: a study on green behavior of consumers

“…Environmentally conscious consumers are known as green consumers (Roberts, 1996;Hailes, 2007;Gandhi and Sheorey, 2019) and can be defined as one who demonstrates the act of buying or using products that are not injurious to the atmosphere (Kinnear et al, 1974;Kumar et al, 2019). Previous studies on green consumers have focused their actions that lessen the consumption of natural resources (Gardner and Stern, 2002;Jansson et al, 2010).…”