Do Status discrepancy and socioeconomic immobility really drive compensatory consumption?

This research aimed to empirically explore whether impulsive consumption in the hospitality industry could be explained as a form of compensatory behavior that individuals engage in to cope with pessimistic self-evaluations. In this study, these self-evaluations have been operationalized as status discrepancy and perceived socioeconomic immobility. To test the hypotheses, this study used a three-way factorial design in two consumption settings: (1) leisure activities and (2) restaurant visits. Across the two studies, the results indicated that satisfactory self-assessments, rather than status discrepancy or socioeconomic immobility, lead to impulsive consumption. Despite the reversed findings, this study verified that participants jointly reflect status discrepancy and socioeconomic immobility in consumption contexts. Moreover, the findings suggest that millennials are more sensitive towards mobility information than older generations. This study sheds light on generational differences in impulsive consumption in the hospitality industry.     

Joint audits and mutual ties of audit firm networks

There has been a lively debate following the 2007 financial crisis regarding the role of joint audits. Prior research argues that joint audits may improve audit quality because of shared audit efforts. However, empirical evidence has been inconclusive. To gain insight into how Big 4 audit firm imprimaturs have become a source of legitimacy in the audit industry, this article investigates how audit networks drive the audit industry in Saudi Arabia. Based on the application of quantitative and qualitative research methods, we conclude that the Big 4 audit firms have strong mutual ties, but ties with other local and international audit firms are weak. We also find the oligopolistic nature of the Big 4 audit firms and international audit firms. Specifically, Ernst & Young, KPMG, PwC, and PKF are controlling over 68% of the audit market. Interviews with accounting professionals suggest that several benefits of joint audits exist, but certain additional costs are also implicated. Our findings are particularly relevant for regulators and local and international policymakers in rethinking and evaluating the appropriateness of either the mandatory or voluntary nature of joint audits in developing countries.     

The nature of trade,global production fragmentation and inflationary dynamics: Cross-country evidence

This study investigates under which circumstances trade has impact on inflation dynamics by examining the independent effects of trade intensity, intra-industry trade and trade on value added. Trade in goods is decomposed into consumption (final) goods and intermediate inputs to deepen the assessment of the role of the globalisation of production activities on inflation dynamics. Open-economy new Keynesian Phillips curve (NKPC) analyses suggest that inflation is sensitive to domestic factors and that the relevance of external factors changes with respect to the nature of trade, country groups and time. Vertical intra-industry trade in intermediate inputs and value-added trade play important role, whereas final goods trade has no statistically significant effect on inflation dynamics.     

中国高新技术企业认定政策绩效评估

高新技术企业认定政策是国家为扶持和鼓励高新技术企业发展而提出的一项重要政策，但其实施效果如何有待验证。采用2007、2010及2011年《中国工业企业数据库》数据，运用双重差模型对高新技术企业认定政策绩效进行评估。通过实证研究发现：①高新技术企业认定政策有助于提高企业市场价值及市场占有量；②高新技术企业认定政策对企业研发投入的增长影响不显著；③相对于中小型企业，高新技术企业认定政策对大型企业影响更大。最后，提出相应的政策建议，以期为我国高新技术企业认定政策完善提供启示。     

山岭隧道洞口浅层滑坡处治关键技术研究

受地形地质条件、工程经济以及勘察深度等因素的制约,山岭重丘区隧道不可避免地会受到各种不良地质灾害的影响.为解决隧道穿越洞口浅埋段滑坡体的施工安全问题,以乐业至百色高速公路永乐隧道工程为研究背景,针对其地形地质条件及滑坡体情况,结合洞内变形与滑坡体变形相互作用机理,对隧道穿越洞口浅埋段滑坡体施工关键技术进行研究,并针对性地提出"洞外加固处治+洞内严格控制沉降"的综合处治方案.实践结果表明,本隧道工程穿越洞口浅层滑坡体的施工过程安全顺利,采取的施工控制措施方案实施效果良好.     

Semiparametric time series models driven by latent factor

We introduce a class of semiparametric time series models (SemiParTS) driven by a latent factor process. The proposed SemiParTS class is flexible because, given the latent process, only the conditional mean and variance of the time series are specified. These are the primary features of SemiParTS: (i) no parametric form is assumed for the conditional distribution of the time series given the latent process; (ii) it is suitable for a wide range of data: non-negative, count, bounded, binary, and real-valued time series; (iii) it does not constrain the dispersion parameter to be known. The quasi-likelihood inference is employed in order to estimate the parameters in the mean function. Here, we derive explicit expressions for the marginal moments and for the autocorrelation function of the time series process so that a method of moments can be employed to estimate the dispersion parameter and also the parameters related to the latent process. Simulated results that aim to check the proposed estimation procedure are presented. Forecasting procedures are proposed and evaluated in simulated and real data. Analyses of the number of admissions in a hospital due to asthma and a total insolation time series illustrate the potential for practical situations that involve the proposed models.     

Duration of price promotion and product profit: An in-depth study based on point-of-sale data

Anecdotal evidence has shown that retail price promotions can help small and medium-sized retailers enhance their sales, and thus profits. However, most marketing managers usually stop a promotion after a certain duration. This study aims to explain why these retailers discontinue their price promotion. Our approach posits that overall contributions of a price promotion to the product profit progressively diminish with time. In this study, we present a theoretical framework to explain the relationship between duration and profit effects of price promotion and propose statistical models to empirically examine this framework using point-of-sale (POS) data. Our findings provide empirical support that the effect of price promotion on the product profit has a downward trend with elapsed time. The results are helpful for marketers to understand how price promotions dynamically influence product profit and when the promotion should be terminated.     

国有林场贫困测定与差异性研究

基于2008—2017年国家林业局对中国28个省(市、区)国有林场的调研数据,运用等价性检验的方法从地理位置、经济状况、可持续经营和发展能力层面上对国有林场的贫困测度和差异性进行实证分析。研究结果表明:国有贫困林场不一定位于贫困县,并且与国有非贫困林场之间的差异逐渐缩小;国有贫困林场区域异质性强,经济发展水平较低;国有贫困林场在森林资源基础、人力资源基础、基础设施和生产条件等方面的可持续发展能力较差。因此,提出了相关林业部门应该鼓励国有贫困林场发展特色林产品;加大扶贫资金投入;改善职工生计条件;加强资金管理意识等政策建议。     

长江经济带土地出让与城镇化质量耦合协调研究

土地出让与城镇化质量作为城镇化的主要依托和核心追求,二者的关系影响到城市的可持续发展。以长江经济带为例,构建土地出让与城镇化质量综合评价指标体系,利用熵值法和耦合协调模型对二者耦合协调的时空差异做出实证研究,并利用ArcGIS将其空间显化。结果表明：研究期内长江经济带土地出让与城镇化质量的协调度呈现先增后减再增趋势；二者的协调度自西向东逐步增加,耦合度无明显分布规律,总体呈高水平耦合状态；土地出让与城镇化质量的协调度在城市群间的差异显著,但城市群内部的差异逐步减小。从土地出让与城镇化质量的耦合协调发展的视角,为实现城市健康可持续的发展提出政策建议。     

Structural breaks in the mean of dividend-price ratios: Implications of learning on stock return predictability

In their out-of-sample predictions of stock returns in the presence of structural breaks, Lettau and Van Nieuwerburgh (2008) implicitly assume that economic agents’ perception of the regime-specific mean for the dividend-price ratio is time-invariant within a regime. In this paper, we challenge this assumption and employ least squares learning with constant gain (or constant-gain learning) in estimating economic agents’ time-varying perception for the mean of dividend-price ratio. We obtain better out-of-sample predictions of stock returns than in Lettau and Van Nieuwerburgh (2008) for both the U.S. and Japanese stock markets. Our empirical results suggest that economic agents’ learning plays an important role in the dynamics of stock returns.