Growth and value hybrid valuation model based on mean reversion

This article proposes a novel valuation model, growth and value hybrid model, to estimate the stock price. This proposed model combines the essence of the asset-based approach, the income-based approach, and the principle of mean reversion to develop the theoretical closed-form formula consisting of three coefficients: value coefficient, value support coefficient and growth coefficient. Regression analysis is employed to fit market data to determine these coefficients. Moreover, this study proposes the double sorting method to build the quantile regression models of the formula to estimate the stock price at a specific quantile. The results show that the predictive capability of the hybrid valuation model is superior to the model without using value support coefficient, which supports the assumption that the PBR is not associated with the ROE when the ROE is less than a threshold. In different time periods of the stock market, no significant difference exists on the value support coefficient. However, the variations of the value coefficient and the growth coefficient are significant.     

The Effect of Protest Votes on the Estimates of WTP for Use Values of Recreational Sites

Contingent valuation studies are often characterized by a considerable number of protest responses, which may cause selectivity bias on the final estimates for WTP. Sample selection models can detect and – if necessary – correct selectivity bias. In economic applications where the relevant dependent variable is continuous, sample selection models are generally estimated using Heckman's 2-step method rather than the FIML estimator. Either method has its own drawback: computational complexity for the FIML method, susceptibility to collinearity problems for the 2-step method. Using data on valuation of forest resources for recreational use, we analyse the performance of the two estimators. In this application, given the presence of some collinearity, the FIML is preferred to the 2-step method. A procedure is outlined to deal with selectivity problems in similar settings.     

Measuring the consumer benefits of improving farm animal welfare to inform welfare labelling

Policy makers in the European Union are envisioning the introduction of a community farm animal welfare label which would allow consumers to align their consumption habits with their farm animal welfare preferences. For welfare labelling to be viable the market for livestock products produced to higher welfare standards has to be sufficiently segmented with consumers having sufficiently distinct and behaviourally consistent preferences. The present study investigates consumers’ preferences for meat produced to different welfare standards using a hypothetical welfare score. Data is obtained from a contingent valuation study carried out in Britain. The ordered probit model was estimated using Bayesian inference to obtain mean willingness to pay. We find decreasing marginal WTP as animal welfare levels increase and that people’s preferences for different levels of farm animal welfare are sufficiently differentiated making the introduction of a labelling scheme in the form of a certified rating system appear feasible.     

An Analytical Framework for Joint vs Separate Decisions by Couples in Choice Experiments: The Case of Coastal Water Quality in Tobago

This paper offers an analytical framework for analyzing joint and separate decisions by couples in the context of choice experiments for nonmarket valuation. It reports results from an attribute-based stated preference study in which members of couples are asked to conduct a choice-experiment first individually and then jointly. The choice context was the selection of which beach to visit while on vacation in Tobago. Available alternatives differed in attributes related to coastal water and beach quality such as level of coastal development and fish abundance. Tests of preference equality are reported and structured so as to identify the intra-couple decision-making patterns under taste heterogeneity with both finite and continuous mixed logit. Results from the latter suggest that women’s preferences are found to be predominant in the joint choice-experiment. Results suggest caution in using individual choice rather than joint couple choice when valuing quality changes impacting on couple activities, such as water and beach quality in Tobago, and call for further research on the topic.     

海南中部山区森林生态系统服务功能价值评估

海南中部山区是全省生态功能的核心区,对维持全岛生态平衡与可持续发展起着十分重要的作用。本文依据2005年SPOT2、SPOT4遥感影像（10米分辨率）所提取的专题图层分析统计出中部山区森林生态系统类型和面积,提出了各类型生态系统服务功能评价指标沐系,分为提供产品、调节功能、文化功能和支持功能4种类型;并利用生态经济相关理论基础对备服务功能价值进行了初步评价．结果表明,海南中部山区森林生态系统8种类型9种服务功能总价值为1549．5×10^8元／a,其中调节功能达1472．8×10^8元,占总服务功能价值的90％以上。为进一步提高人们的生态环保意识和促进海南生态补偿机制的建立提供重要参考。     

Bitcoin price and its marginal cost of production: support for a fundamental value

This study back-tests a marginal cost of production model proposed to value the digital currency Bitcoin. Results from both conventional regression and vector autoregression (VAR) models show that the marginal cost of production plays an important role in explaining Bitcoin prices, challenging recent allegations that Bitcoins are essentially worthless. Even with markets pricing Bitcoin in the thousands of dollars each, the valuation model seems robust. The data show that a price bubble that began in the Fall of 2017 resolved itself in early 2018, converging with the marginal cost model. This suggests that while bubbles may appear in the Bitcoin market, prices will tend to this bound and not collapse to zero.     

Determinants of patent value: Insights from a simulation analysis

This paper contributes to understanding the determinants of patent value. By drawing on a real options approach, we develop a theoretical model of patent value, which explicitly considers the uncertainty about future value. On this basis, we rely on Monte Carlo simulations with data from a case study in a large chemical firm to estimate patent value according to our model. In the simulation analyses, we compare an R&D project with patent protection and the same project without patent protection. The difference of the values of the two projects is the surplus in profit that may be expected from having a patent covering the project. This surplus is regarded as the value that is directly attributable to the patent. The results of the simulation analyses indicate that the development costs and expected net cash flows of a patent-protected project are higher than of an unpatented project. The higher net cash flows outgrow the increased development costs, and patent value is positive. However, this value is smaller than the overall project value of the patent-protected R&D project.     

Eliciting Willingness to Pay without Bias using Follow-up Certainty Statements: Comparisons between Probably/Definitely and a 10-point Certainty Scale

Correction for hypothetical bias using follow up certainty questions often takes one of two forms: (1) two options, “definitely sure” and “probably sure”, or (2) a 10-point scale with 10 very certain. While both have been successful in eliminating hypothetical bias from estimates of WTP by calibrating based on the certainty of yes responses, little is known about the relationship between the two. The purpose of this paper is to compare the two using data from three field experiments in a private good, dichotomous choice format. We compare four types of yes responses that differ in the criterion used to determine if there is sufficient certainty for a hypothetical yes response to be considered a true yes response. We make several comparisons, but focus on determining which values on the 10-point scale give the same estimates of WTP as “definitely sure” hypothetical yeses and real yeses (actual purchases). Values that produce equivalence are near 10 on the certainty scale.     

企业家价值计量方法探讨

人力资源价值计量是阻碍入力资源会计发展的关键之一，尽管人力资源价值计量模型已获得不少突破，但是仍旧未得到理论和实务界的共同认可。应该从人员的层次来寻找合适的计量模式。就最稀缺的生产要素——企业家价值计量模型提出一点自己的看法。     

浅论工程量清单计价模式下施工组织设计的编制

通过介绍工程量清单计价模式的特点，分析了施工组织设计在工程量清单计价模式下的重要性，并对其编制方法进行了探讨。