Generic medicine pricing in Europe: current issues and future perspective

Abstract

This editorial discusses a number of trends affecting the pricing of generic medicines in Europe. With respect to pricing, recent evidence has emerged that European generic medicine manufacturers face competition from Indian manufacturers; that the price level of generic medicines varies substantially between European countries; and that generic medicine manufacturers engage in competition by discount rather than price competition in France, The Netherlands and the UK. These trends suggest that there may be scope for further reducing the prices of generic medicines in several countries.

In relation to reference pricing, most European countries have incorporated market incentives within reference pricing systems with a view to promoting price competition. The European experience indicates that the generic medicines industry delivers competitive prices under a reference pricing system if demand-side policies are in place that stimulate physicians, pharmacists and patients to use generic medicines.

Finally, caution needs to be exercised when focusing on the drivers of generic medicine pricing as these drivers not only vary between countries, but may also vary within a country. Manufacturers of originator and generic medicines do not take a single pricing approach following patent expiry, but vary their pricing strategy from molecule to molecule.     

数字产品定价博弈分析

数字产品的物理特性和经济特征决定了其不适合传统的定价方法。通过分析数字产品的交易特点发现,可以通过运用罗宾斯泰英的讨价还价模型,分析数字产品的定价方法,并得出结论:厂商和消费者博弈双方对销售收益的分配份额取决于双方的贴现因子。     

浅谈建设高素质的旅游企业家队伍

加入世界贸易组织对中国旅游业将产生积极而又深远的影响：外资的更多进入,竞争的加剧、服务水平的提升,旅游者享更多的好处．．．等等,但最根本的变化则是ＷＴＯ要求其进入的成员必须手持市场经济的入场券,这就要求中国旅游业必须通过基于市场的一系列变革来铸造自己的核心竞争能力。     

Machine learning for quantitative finance: fast derivative pricing,hedging and fitting

In this paper, we show how we can deploy machine learning techniques in the context of traditional quant problems. We illustrate that for many classical problems, we can arrive at speed-ups of several orders of magnitude by deploying machine learning techniques based on Gaussian process regression. The price we have to pay for this extra speed is some loss of accuracy. However, we show that this reduced accuracy is often well within reasonable limits and hence very acceptable from a practical point of view. The concrete examples concern fitting and estimation. In the fitting context, we fit sophisticated Greek profiles and summarize implied volatility surfaces. In the estimation context, we reduce computation times for the calculation of vanilla option values under advanced models, the pricing of American options and the pricing of exotic options under models beyond the Black–Scholes setting.     

Market integration and currency risk in Asian emerging markets

Most of the Asian emerging stock markets started to liberalize their markets in 1990s. In this paper, I examine whether those markets have become integrated with world stock market since the 1990s by estimating and testing a dynamic version of international CAPM (ICAPM) in the absence of purchasing power parity (PPP) using a parsimonious multivariate GARCH-in-Mean (MGARCH-M) approach. I also investigate to what extent the liberalization process has affected the cost of capital and price volatility for each market. The empirical results show that Philippines was segmented from the world stock market before its liberalization date, but no evidence of market segmentation is found for the other five markets (India, Korea, Malaysia, Taiwan, and Thailand) before their liberalization dates. However, all six markets have become integrated after opening up their markets to foreign investors. In addition, the estimated risk premia are lower after the liberalization, indicating that the liberalization process has reduced the cost of capital for their domestic firms. Moreover, there is no evidence of extra market volatility introduced by capital market liberalization, and on the contrary, the markets have become more stabilized through the liberalization process.     

Representing climatic uncertainty in agricultural models – an application of state‐contingent theory

The state‐contingent approach to production uncertainty presents a more general model than the conventional stochastic production approach. Here we investigate whether the state‐contingent approach offers a tractable framework for representing climatic uncertainty at a farm level. We developed a discrete stochastic programming (DSP) model of a representative wheat–sheep (mixed) farm in the Central West of NSW. More explicit recognition of climatic states, and associated state‐contingent responses, led to optimal farm plans that were more profitable on average and less prone to the effects of variations in climate than comparable farm plans based on the expected value framework. The solutions from the DSP model also appeared to more closely resemble farm land use than the equivalent expected value model using the same data. We conclude that there are benefits of adopting a state‐contingent view of uncertainty, giving support to its more widespread application to other problems.     

Space matters: the importance of amenity in planning metropolitan growth

Most Australian capital cities require many 100,000s of additional dwellings to accommodate demographic change and population pressures in the next two or three decades. Urban growth will come in the form of infill, consolidation and urban expansion. Plans to redevelop environmental amenities such as parks and open green spaces are regularly being put forward to local councils and State governments. Maintaining parks and reserves represents one of the largest costs to local councils. To aid in the evaluation of some of the different propositions, we report the results of a spatial hedonic pricing model with fixed effects for Adelaide, South Australia. The results indicate that the private benefits of a close proximity to golf courses, green space sporting facilities, or the coast, are in the order $0.54, $1.58, and $4.99 per metre closer (when evaluated at the median respectively). The historic Adelaide Parklands add $1.55 to a property’s value for each additional metre closer. We demonstrate how the estimated model could be used to calculate how local private benefits capitalized in property values change with changes in the configuration of a park.     

Wheat stocks and the cointegration of wheat prices

We examine the effect of wheat stocks on the relationship between port and inland wheat prices in western Canada after the dissolution of the Canadian Wheat Board in 2012. Standard statistical tests find no evidence that the port price is cointegrated with inland prices. We argue that large harvests in 2013–2014 and 2014–2015 are responsible for this lack of cointegration. A simple theoretical model demonstrates how wheat stocks drive a wedge between inland and port prices. After including wheat stocks in the cointegrating vector, we find the expected cointegrating relationships between the port and inland prices. Using an error correction model, we show that a 10% increase in the wheat stocks reduces producer prices in Alberta and Manitoba by 6% and 4%, respectively. We conclude by discussing policy options for reducing the size of wheat stocks on the prairies.     

银行卡定价理论的新发展--兼论对我国银行卡POS交易价格形成机制的启示

本文通过对银行卡定价理论新发展以及国外POS交易价格的研究．结合我国银行卡产业发展的实际情况。对我国银行卡POS交易价格形成机制进行了研究。研究表明：银行卡产业具有的双边市场特征和网络外部性特征使得银行卡POS交易的定价将是成本、竞争、双边市场需求等多种因素的综合反映。就中国银行卡产业发展现状而言，我国银行卡POS交易定价应该与国际接轨．由现有的单一定价模式转变为三级差别定价和二级差别定价相结合的差别定价模式。差别定价模式有利于建立科学合理的利益分配体系，促进和保障银行卡产业的持续健康稳定发展。     

Influences of consumer characteristics on fairness perceptions of revenue management pricing in the hotel industry

Fairness perceptions play an important role in customers’ behavior, and this study explores which consumer characteristics influence fairness perceptions of revenue management (RM) pricing in the hotel context. To examine such differentiating characteristics, the study conducts a logit analysis by comparing two groups: one group of customers who consider hotels’ RM practices to be fair and the other group considers the practices to be unfair. The findings provide an opportunity for hotel managers to identify customers’ particular characteristics that affect customer's perceptions of the fairness of hotels’ RM pricing practices.