scholarly journals A note on “Price variation in spatial markets: the case of perfectly inelastic demand”

1991 ◽  
Vol 25 (1) ◽  
pp. 55-62 ◽  
Author(s):  
Klaus Schöler
Keyword(s):  
Price Variation ◽  
Inelastic Demand

A reply to a note on ‘Price variation in spatial markets: the case of perfectly inelastic demand’

1991 ◽  
Vol 25 (1) ◽  
pp. 63-69 ◽  
Author(s):  
Gordon F. Mulligan ◽  
Timothy J. Fik
Keyword(s):  
Price Variation ◽  
Inelastic Demand

Price variation in spatial markets: the case of perfectly inelastic demand

1989 ◽  
Vol 23 (3) ◽  
pp. 187-201 ◽  
Author(s):  
Gordon F. Mulligan ◽  
Timothy J. Fik
Keyword(s):  
Price Variation ◽  
Inelastic Demand

The Impact of Oil Price Fluctuations on Industry Stock Returns: Evidence from International Markets

2018 ◽  
Vol 5 (1) ◽  
pp. 1-12
Author(s):  
Elias Randjbaran ◽  
Reza Tahmoorespour ◽  
Marjan Rezvani ◽  
Meysam Safari
Keyword(s):  
Stock Returns ◽  
Oil And Gas ◽  
Negative Relationship ◽  
The United States ◽  
Oil Price ◽  
Price Variation ◽  
Price Changes ◽  
Price Fluctuations ◽  
Food And Beverage ◽  
The Impact

This study investigates the impact of oil price variation on 14 industries in six markets, including Canada, China, France, India, the United Kingdom, and the United States. Panel weekly data were collected from June 1998 to December 2011. The results indicate that price fluctuations primarily affect the Oil and Gas as well as the Mining industries and have the least influence on the Food and Beverage industry. Furthermore, in three out of six of these countries (Canada, France, and the U.K.), oil price changes negatively affect the Pharmaceutical and Biotechnology industry. One possible reason for the negative relationship between oil price changes and the Pharmaceutical and Biotechnology industries in the above-mentioned countries is that the governments of these countries fund their healthcare systems. Portfolio managers and investors will find the results of this study useful because it enables adjusting portfolios based on knowledge of the industries that are impacted the most or the least by oil price fluctuations.

scholarly journals U.S. Consumer Demand for Plant-Based Milk Alternative Beverages: Hedonic Metric Augmented Barten’s Synthetic Model

Foods ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 265
Author(s):  
Tingyi Yang ◽  
Senarath Dharmasena
Keyword(s):  
Hedonic Pricing ◽  
Demand System ◽  
Soy Milk ◽  
Purchasing Behavior ◽  
New Approach ◽  
Hedonic Pricing Model ◽  
Inelastic Demand ◽  
Demand System Estimation ◽  
Nutritional Data ◽  
Conventional Milk

Consumers in the U.S. increasingly prefer plant-based milk alternative beverages (abbreviated “plant milk”) to conventional milk. This study is motivated by the need to take into consideration varied nutritional and qualitative attributes in plant milk to examine consumers’ purchasing behavior and estimate demand elasticities which are achieved by a new approach combing hedonic pricing model with Barten’s synthetic demand system. The method of estimation is enlightened from the common practice of companies differentiating their products in multidimensions in terms of attributes. A research dataset was uniquely created by associating the products’ purchase data from Nielsen Homescan dataset with exclusive first-hand nutritional data. Estimations began with creating a multidimensional hedonic attribute space based on the qualitative information of different types of plant milk and conventional milk available to consumers and then calculating the hedonic distances by Euclidean distance measurement to reparametrize Barten’s synthetic demand system. Estimation results showed that the highest own-price elasticity pertained to soy milk which was −0.25. Three plant milk types had inelastic demand. Soy milk exerted substituting effects on all types of conventional milk products and vice versa. Soy milk, rice milk and almond milk entertained complementary relationships between each other and four types of conventional milk were strong substitutes within the group.

Assessment of medicines price variation among community pharmacies in the state of Penang, Malaysia by using simulated client method

2014 ◽  
Vol 14 (2-3) ◽  
pp. 115-124 ◽  
Author(s):  
Tan Ching Siang ◽  
Mohamed Azmi Hassali ◽  
Fahad Saleem ◽  
Alian A Alrasheedy ◽  
Hisham Aljadhey
Keyword(s):  
The State ◽  
Community Pharmacies ◽  
Price Variation

How important is price variation between health insurers?

2021 ◽  
Vol 77 ◽  
pp. 102423
Author(s):  
Stuart V. Craig ◽  
Keith Marzilli Ericson ◽  
Amanda Starc
Keyword(s):  
Price Variation ◽  
Health Insurers

Energy Management System for Hybrid Microgrids

2021 ◽  
Vol 69 (2) ◽  
pp. 21-30
Author(s):  
Nasreddine ATTOU ◽  
Sid-Ahmed ZIDI ◽  
Mohamed KHATIR ◽  
Samir HADJERI
Keyword(s):  
Energy Management ◽  
Electricity Market ◽  
Management System ◽  
Energy Demand ◽  
Renewable Energy Sources ◽  
Supply And Demand ◽  
Energy Sources ◽  
Variable Load ◽  
Energy Management System ◽  
Price Variation

Energy management in grid-connected Micro-grids (MG) has undergone rapid evolution in recent times due to several factors such as environmental issues, increasing energy demand and the opening of the electricity market. The Energy Management System (EMS) allows the optimal scheduling of energy resources and energy storage systems in MG in order to maintain the balance between supply and demand at low cost. The aim is to minimize peaks and fluctuations in the load and production profile on the one hand, and, on the other hand, to make the most of renewable energy sources and energy exchanges with the utility grid. In this paper, our attention has been focused on a Rule-based energy management system (RB EMS) applied to a residential multi-source grid-connected MG. A Microgrid model has been implemented that combines distributed energy sources (PV, WT, BESS), a number of EVs equipped with the Vehicle to Grid technology (V2G) and variable load. Different operational scenarios were developed to see the behaviour of the implemented management system during the day, including the random demand profile of EV users, the variation in load and production, grid electricity price variation. The simulation results presented in this paper demonstrate the efficacy of the suggested EMS and confirm the strategy's feasibility as well as its ability to properly share power among different sources, loads and vehicles by obeying constraints on each element.

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