scholarly journals A Comparative Study of Renewable Energy Industry Regulation on Feed-In Tariffs Based on Pricing Strategy of Value Standard Method

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Peng Sun

Based on pricing strategy of value standard method, we establish a three-stage game model of energy production to compare the differences of optimal regulated price and social welfare under three regulation types of feed-in tariffs. We show that the optimal price levels under three main regulation types are different. But the choice of regulation type does not impact the optimal social welfare. So policymakers with different preferences may make regulation decisions in different ways. This successfully explains why many regulation types exist in different countries. Moreover, although it is difficult to determine the optimal price by the value standard method in practice, the conclusions of this paper also provide a judgment criterion for other pricing strategies on how to choose a suboptimal regulation type.

Author(s):  
Ludwig Dierks ◽  
Sven Seuken

In many markets, like electricity or cloud computing markets, providers incur large costs for keeping sufficient capacity in reserve to accommodate demand fluctuations of a mostly fixed user base. These costs are significantly affected by the unpredictability of the users' demand. Nevertheless, standard mechanisms charge fixed per-unit prices that do not depend on the variability of the users' demand. In this paper, we study a variance-based pricing rule in a two-provider market setting and perform a game-theoretic analysis of the resulting competitive effects. We show that an innovative provider who employs variance-based pricing can choose a pricing strategy that guarantees himself a higher profit than using fixed per-unit prices for any individually rational response of a provider playing a fixed pricing strategy. We then characterize all equilibria for the setting where both providers use variance-based pricing strategies. We show that, in equilibrium, the providers' profits may increase or decrease, depending on their cost functions. However, social welfare always weakly increases.


2009 ◽  
pp. 2556-2570
Author(s):  
Zuopeng (Justin) Zhang ◽  
Sajjad M. Jasimuddin

This article addresses the different levels of pricing strategies for an online knowledge market. Based on the best practice from Google Answers, an online knowledge market is modeled as a marketplace where consumers ask and researchers answer questions to make knowledge transactions. Consumers optimally price their questions to obtain answers, and a firm maintains the online knowledge market by determining the optimal price allocation to researchers. Our study identifies two types of consumers, spin-off and mainstream, based on whether additional utilities will be derived from the market. In addition, we investigate how the firm can use minimal and maximal posting prices to regulate the knowledge market.


2006 ◽  
Vol 532-533 ◽  
pp. 941-944
Author(s):  
Xiao Jun Pan ◽  
Hong Min Chen ◽  
Li Xu

We explore the price and welfare effect of price discrimination in a differentiated-goods oligopoly market with network effect and the effect of network effect on the equilibrium price, profit and output. We show that competitive price discrimination and network effect may intensify competition and the price discrimination increases the social welfare under oligopoly market with network effect. If firms differ in which markets they target for aggressive pricing strategy and competitive firm’s reaction is strong, prices in all markets may fall. So both firms agree on the strategies of setting the uniform pricing.


2017 ◽  
Vol 5 (6) ◽  
pp. 188-204 ◽  
Author(s):  
YINLIN TSAI ◽  
Johnny Tung

Concerns about global warming and climate change are generating interest in renewable energy measures with the purpose to minimize environmental impact. Promoting renewable energy production becomes indispensable since its represent a tiny fraction of energy consumed. The purpose of this study is to identify the performance determinants are divided in country specific advantages and firm specific advantages. Companies were selected from Bloomberg and filtered due to its information ava ilability from COMPUSTAT to construct a Panel Data structure. The results proved that both country level (shares of renewable and energy consumption) and firm level (market capitalization, employee growth rate and capital intensity) determinants were signi ficant in the renewable energy industry. Through the analysis, it’s possible to realize that return on assets it’s a performance measure with long term results, but unlike it, gross profit margin is variable that demonstrate short term results. We conclude that renewable energy industry has a great potential due to its results performed.


Author(s):  
John Glasson

The Offshore Wind sector is a major, dynamic, and rapidly evolving renewable energy industry. This is particularly so in Europe, and especially in the UK. Associated with the growth of the industry has been a growth of interest in community benefits as voluntary measures provided by a developer to the host community. However, in many cases, and for some of the large North Sea distant offshore wind farms, the benefits packages have been disparate and pro rata much smaller than for the well-established onshore wind farm industry. However, there are signs of change. This paper explores the issues of community benefits for the UK offshore sector and evolving practice, as reflected in a macro study of the adoption of community benefits approaches across the industry. This is followed by a more in-depth micro- approach, which explores approaches that have been adopted in three case studies of recent OWF projects — Aberdeen, Beatrice and the Hornsea Array. Whilst there is still much divergence in practice, there are also examples of some convergence, and the development of a more replicable practice. Particularly notable is the adoption of annual community benefits funds, as the key element of community benefits schemes/agreements between developers, local authorities and local communities.


2017 ◽  
Vol 19 ◽  
pp. 292-303 ◽  
Author(s):  
J. Loxton ◽  
A.K. Macleod ◽  
C.R. Nall ◽  
T. McCollin ◽  
I. Machado ◽  
...  

2008 ◽  
Vol 25 (05) ◽  
pp. 613-624 ◽  
Author(s):  
MIAO-SHENG CHEN ◽  
FU-CHIEN TSAI

When a customer steps into a complete pre-ordered store, he will review the merchandise and consider his demands based on the merchandise price levels and price variability at that point in time. However, after declaring his intention to purchase said merchandise, the store assistant informs him that the merchandise will not be available for a period of time. This is a typical stock-out merchandise scenario in which customers may only place an order for delivery at a later point in time. Therefore, whether or not customer purchases merchandise does not just depend on the price at that moment. It is also influenced by the expected future increase or decrease of the price of the merchandise and the length of time before the store can supply the merchandise. In this study, we will explore how to set price levels at each point in time during the stock-out period in order to maximize the discounted profit after considering the influence of the price level, price variability, and waiting time on customer demand. The main assumption in this study is that customers' potential demand rate function at a given point during the stock-out period is a linear function of the price level and price variability at that point. Also, the ratio function of customers willing to wait for the merchandise is an exponential function of the length of time before the merchandise will be delivered. Constructing a mathematical model that is concrete to discuss the above problem, to derive the optimal price function of the merchandise at each point in time, and to discuss the characteristics of this function are the main parts of this study.


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