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Digital technologies have become significant as organisations, including financial institutions, attempt to adopt enhanced and more efficient approach for service provisions to customers. Despite the obvious shift to digitalised methods of service delivery, some financial institutions argued that though digitisation may increase financial efficiency and profitability, it also poses new risks and potential threats with significantly unanticipated side effects, especially, with respect to employment. Against this background, this study examined how the following cashless policy instruments: Mobile banking, Automated Teller Machine (ATM) and Point of Sale (POS) Terminal, influence financial transactions in Lagos, Nigeria; using Zenith Bank PLC as a case study. Structured Questionnaire was administered to 100 Zenith bank customers. The study applied the logit regression method and findings showed that 54% respondents use mobile banking daily, 39% respondents use ATM daily, 25% respondents use POS daily. On an overall scale, mobile banking is widely used and mostly preferred. Also, results showed that while POS has a significant relationship with financial transactions, Mobile banking, and ATM both have an insignificant relationship. Results from the study encourage the management of CBN to create more awareness of these instruments, and likely increase the number of these instruments.

Most demand studies have concentrated on the estimation of expenditure elasticities for single commodity at a time thereby not being able to reveal the details of the relationships among various food items demanded by households. The purpose of this paper is to simultaneously estimate the demand equations for a number of food items and to estimate cross-price elasticities which are necessary for studying consumer behaviours, marketing, production planning and policy making.

Relevant data were collected from 320 randomly selected households in a multistage sampling procedure. The normalized data were analysed in a system of equation with symmetry, adding-up and homogeneity restrictions imposed on the model.

Expenditure elasticities show that gaari and palm oil were inferior food items while others could be classified as normal. Own-price elasticities showed that beans, plantain, yam flour and rice were luxuries while others were necessities. Cross-price elasticities revealed that some were substitutes of one another while others were compliments and some were not related.

The data were collected using a month recall approach and generalizing its findings beyond such months of a year may be misleading. Therefore, other researchers should repeat the study across months and locations.

The study recommended that food policies should be broad based to encompass majority of the food items consumed in the study area given the intrinsic relationship inherent among them as their demands were interrelated and consumer behaviours as revealed by various elasticities be considered in formulating food-related policies.

The paper emphasized the need to model food demand in a system of equations as against single equation modelling.