Analysis of the complexity of writing used in accounting textbooks over the past 100 years

The Accounting Education Change Commission (AECC) and the large international accounting firms have all emphasized that accountants must be able to work with unstructured problems to be successful in today's business environment. Measures of this ability are essential if accounting educators are to assist students in improving their abilities to work with unstructured problems. However, there appears to be no measure that has been widely accepted as being the ‘best’ measure. This study considers whether two linguistic performance measures might be usable by accounting educators for this purpose. We use data obtained from a student assessment centre to consider two measures of linguistic performance, idea density and grammatical complexity. We incorporate five criteria in deciding whether these measures could be usable: (1) whether the measures are related to students' performance when solving unstructured problems; (2) whether the measures distinguish between the ability to work with unstructured compared to structured problems; (3) ease of obtaining necessary information from students; (4) ease of scoring, and (5) robustness of the findings after considering other variables that may have an effect. Our results indicate that subjects' linguistic performance as measured by idea density meets these five criteria. However, grammatical complexity is not related to performance for either type of problem. These results were found even after controlling for the effects of other variables such as grade point average (GPA), experience, and personality variables. Because the measures can be obtained from virtually any written work produced by students, the information to be scored is relatively easy to obtain. Scoring is also relatively straightforward.     

印度股票市场改革的经验与启示

印度股票市场改革对中国的启示主要在于,作为一个转型经济国家在发展金融市场尤其是股票市场的过程中出现某些消极问题在某种意义上是可以的,关键在于改革者要在既定的约束条件下完善相关的制度和规则,从而引导相关利益主体的行为以实现效率改进,同时在制度移植和模仿方面要注意有关的适用条件,在改革方式上宜快则快。     

Output gaps

What is the output gap? I discuss three alternative definitions: the deviation of output from its long-run stochastic trend (i.e., the “Beveridge–Nelson cycle”); the deviation of output from the level consistent with current technologies and normal utilization of capital and labor input (i.e., the “production-function approach”); and the deviation of output from “flexible-price” output (i.e., its “natural rate”). Estimates of each concept are presented from a dynamic–stochastic–general-equilibrium (DSGE) model of the U.S. economy used at the Federal Reserve Board. Four points are emphasized: The DSGE model’s estimate of the gap (for each definition) is very similar to gaps from policy institutions, but the model’s estimate of potential growth has a higher variance and substantially different covariance with GDP growth; the change in the Beveridge–Nelson trend covaries negatively with the change in the gap in the DSGE model, providing a structural model estimate of a controversial parameter; in this model, estimates of the natural-rate concept are similar to those based on the Beveridge–Nelson and production function approaches; and the estimate of the output gap, irrespective of definition, is closely related to unemployment fluctuations.     

Business models and their relationship with marketing: A systematic literature review

The purpose of this paper is to identify the degree to which the marketing discipline has hitherto engaged with business model literature. The results of a systematic review of business model literature are presented and utilise both the citation counts and the h-index to objectively demonstrate the limited engagement that the marketing discipline has had with business model literature, and the limited degree that the discipline has influenced that literature. The key findings reveal a growing, but formative body of literature that, hitherto, has been dominated by non-marketing disciplines and which has only just begun to be addressed by present day marketing scholars. Using the most influential articles identified in the analysis, the paper concludes with a case for the empirical development of the business model concept with industrial marketing scholarship. Such development is argued to be grounded in the potential of open business models, co-created with multiple stakeholders in a supply chain and the end users of a value proposition.     

企业数字化转型对商业模式创新的影响

基于组织变革理论与知识基础观,引入知识管理与企业家导向变量,探讨企业数字化转型对商业模式创新的影响机制与情境效应。结果表明：①数字化转型对商业模式创新存在显著正向影响;②知识管理在数字化转型对商业模式创新的影响过程中发挥中介作用;③相比于低水平企业家导向,高水平企业家导向会强化数字化转型与知识管理的关系,弱化知识管理与商业模式创新的关系。     

Bayesian time series analysis of periodic behaviour and spectral structure

Analysis, model selection and forecasting in univariate time series models can be routinely carried out for models in which the model order is relatively small. Under an ARMA assumption, classical estimation, model selection and forecasting can be routinely implemented with the Box–Jenkins time domain representation. However, this approach becomes at best prohibitive and at worst impossible when the model order is high. In particular, the standard assumption of stationarity imposes constraints on the parameter space that are increasingly complex. One solution within the pure AR domain is the latent root factorization in which the characteristic polynomial of the AR model is factorized in the complex domain, and where inference questions of interest and their solution are expressed in terms of the implied (reciprocal) complex roots; by allowing for unit roots, this factorization can identify any sustained periodic components. In this paper, as an alternative to identifying periodic behaviour, we concentrate on frequency domain inference and parameterize the spectrum in terms of the reciprocal roots, and, in addition, incorporate Gegenbauer components. We discuss a Bayesian solution to the various inference problems associated with model selection involving a Markov chain Monte Carlo (MCMC) analysis. One key development presented is a new approach to forecasting that utilizes a Metropolis step to obtain predictions in the time domain even though inference is being carried out in the frequency domain. This approach provides a more complete Bayesian solution to forecasting for ARMA models than the traditional approach that truncates the infinite AR representation, and extends naturally to Gegenbauer ARMA and fractionally differenced models.     

Determinants of consumer demand for circular economy products. A case for reuse and remanufacturing for sustainable development

We investigate determinants of consumer demand for circular (reused and remanufactured) products. Based on exploratory choice-based conjoint experiments with a sample of 800 adults in the United Kingdom, we examine two types of premium segment electronic appliances: a mobile phone and a robot vacuum cleaner. We find that consumers prefer partly circulated products over fully or not at all circulated products and that circular products can likely successfully enter the existing market at the retail price of a new product. Interestingly, circular products compete for market share primarily with new products, leaving the market share of second-hand options less affected. The results show a promising path for firms considering a transition to circular business models.     

A play-the-winner-type urn design with reduced variability

We propose a new adaptive allocation rule, the drop-the-loser, that randomizes subjects in the course of a trial comparing treatments with dichotomous outcomes. The rule tends to assign more patients to better treatments with the same limiting proportion as the randomized play-the-winner rule. The new design has significantly less variable allocation proportion than the randomized play-the-winner rule. Decrease in variability translates into a gain in statistical power. For some values of success probabilities the drop-the-loser rule has a double advantage over conventional equal allocation in that it has better power and assigns more subjects to the better treatment. Acknowledgments. I thank Stephen Durham, the associate editor, and the referees for their helpful suggestions.     

Dynamic contracting under imperfect public information and asymmetric beliefs

We develop a dynamic principal–agent model to show how imperfect public information and asymmetric beliefs about payoff-relevant parameters, agency conflicts, and the agent's implicit incentives to influence the principal's posterior beliefs through his unobservable actions interact to affect optimal dynamic contracts. We make a methodological contribution to the literature by solving the continuous-time contracting problem using a discrete-time approximation approach. We obtain a simple characterization of optimal renegotiation-proof contracts in terms of the solution to a nonlinear ordinary differential equation (ODE). We then exploit the properties of the ODE to derive a number of novel implications for the dynamics of long-term contracts that alter the intuition gleaned from the previous literature. Optimism has a first-order impact on incentives, investment and output that could reconcile the “private equity” puzzle. Consistent with empirical evidence, the interaction between asymmetric beliefs, risk-sharing and adverse selection costs could cause the time-paths of the agent's incentive intensities to be increasing or decreasing. Our results also suggest that the incorporation of imperfect public information and asymmetric beliefs could potentially reconcile empirical evidence of an ambiguous relation between risk and incentives, and a non-monotonic relation between firm value and incentives. Permanent and transitory components of risk have differing effects on incentives, which suggest that empirical investigations of the link between risk and incentives should appropriately account for different components of risk.     

"义乌商圈"融资发展研究——以"稠行模式"为例

改革开放以来,以中小企业为主要栽体的"商圈"迅速发展起来,"义乌商圈"就是其中最具特色的代表之一.浙江稠州商业银行作为一家扎根于义乌的"市场银行",与"商圈"同成长、共命运,积极开展金融创新,探索出了一条适合"商圈"发展的"稠行模式".本文通过对"稠行模式"经营特点的分析,以期为我国商圈融资发展提供新的思路和对策.