Dynamic pricing

About: Dynamic pricing is a research topic. Over the lifetime, 4144 publications have been published within this topic receiving 91390 citations. The topic is also known as: surge pricing & demand pricing.

Home Area Network technology assessment for demand response in smart grid environment

Abstract: Modern electricity network will increasingly rely upon a set of intelligent communication and control technologies like home area network. Within the smart grid network, Home Area Network (HAN) help develop the demand response and demand side management. Renewable Energy opportunities such as Rooftop PV systems is also closely linked to the development of HAN and Demand Response. Several communication technologies are available in the market to implement HAN, but it is very important to choose the right one. Simply installing tools for implementing smart grid does nothing to influence customer energy usage behaviour. In this paper, we analyse the opportunities to improve demand management in a home for peak load curtailment and implementing the dynamic pricing policy. Wet also propose the comprehensive assessment of different technologies available for HAN and develop an approach for selecting suitable technologies, which contribute to demand management.

Green process innovation and differentiated pricing strategies with environmental concerns of South-North markets

Abstract: This paper investigates the green process innovation and differentiated dynamic pricing strategies for a Southern firm under a two-market framework where a North country imposes a carbon tariff and a South country announces an emission cap. Results from the dynamic optimization problem show that carbon tariff decreases innovation, domestic price, the firm’s profit and the Southern social welfare but increases foreign price. A less strict binding emission cap enhances innovation, the firm’s revenue and the Northern social welfare but cuts domestic price. The domestic price can be higher, lower or intersect with its counterpart in the North under different situations.

Variable Ticket Pricing in Major League Baseball

Abstract: Sport teams have historically been reluctant to change ticket prices during the season. Recently, however, numerous sport organizations have implemented variable ticket pricing in an effort to maximize revenues. In Major League Baseball, variable pricing results in ticket price increases or decreases depending on factors such as quality of the opponent, day of the week, month of the year, and for special events such as opening day, Memorial Day and Independence Day (July 4). Using censored regression and elasticity analysis, this paper demonstrates that variable pricing would have yielded approximately $590,000 per year in additional ticket revenue for each Major League team in 1996, ceteris paribus. Accounting for capacity constraints, this amounts to only about a 2.8% increase above what occurs when prices are not varied. For the 1996 season, the largest revenue gain would have been the Cleveland Indians, who would have generated an extra $1.4 million in revenue. The largest percentage revenue gain would have been the San Francisco Giants. The Giants would have seen an estimated 6.7% increase in revenue had they used optimal variable pricing.