大豆大杂粉碎及重杂灭活工艺改造

随着国家对环保的重视,改变进口大豆大杂(豆荚、豆杆)焚烧处理的传统做法尤为重要,采用风选、粉碎等手段,区分处理轻重杂,杂质分别采用生产线高温高压和蒸汽湿热灭活法进行处理后,可充当纤维类物质掺入到成品豆粕中。根治环境污染的同时降低厂内安全风险,充分利用进口大豆秸秆类纤维物质,减少大豆损耗,以较小的投入实现经济效益和环境保护。     

基于重大科技基础设施建设迈向一流大学的路径分析——复杂产品系统动态能力演化视角

科技强国和创新型国家建设越来越依赖于重大科技基础设施的支撑能力。当前我国高校承担重大科技基础设施任务大多处于在建阶段，符合高校特点的能力建设模式尚在探索中。通过对2007-2020年脉冲强磁场重大科技基础设施发展的纵向案例研究，建立复杂产品系统（CoPS）的动态能力演化分析框架，从技术能力和组织能力分析高校承担重大科技基础设施动态能力搜索—获取—转型的演化过程。研究发现，高校通过建立新型“举校”体制，发展自组织网络调动校内外组织和技术互补性资源，能够有效构建高校的复杂组织和技术能力，统筹提升科研成效、学生质量和教师质量，实现面向服务国家战略目标的转型，从而获得一流大学的持续竞争优势。     

规模经济理论与我国的大企业战略

大企业战略是企业所选择的一种总体战略,在本质上,它属于发展战略的一种。企业采取这种战略往往表现为,规模的迅速扩张,资源的广泛占有,购并行动的加速,高市场占有率的执着追求等。本文从规模经济的角度分析我国的大企业战略。     

大股东参与、定增并购主体关联与利益输送

定增并购的出现为追溯探讨定向增发的价值驱动性或利益输送性提供了新证据。本文采用2006—2013年交易数据对定增并购中大股东参与效果及其双主体关联性的经济后果进行实证检验。研究发现,大股东参与行为虽然短期内可能给市场传递涉嫌利益输送的不利讯号,但从长期看却能起到提升内部资本配置效率及公司价值的战略效能,且大股东参与程度越高,其提升效果越显著;进一步观察双主体差异性发现,只有大股东未参与时,定增主体关联度才与利益输送呈现正相关性,而并购主体关联度则以积极效应为主。由此不仅能够自然破除“大股东剥夺假说”,同时还可为定增并购的科学决策以及“全要素”监管模式的架构提供经验支持。     

Independent directors and earnings management: The moderating effects of controlling shareholders and the divergence of cash-flow and control rights

The research results on the suppressing effect of independent directors on earnings management are not consistent in existing literature. In addition, it has been argued that using financial statements provided by top management to investigate top management's earnings management is not appropriate. Therefore, the purpose of this study is twofold. First, we used external auditors (including the auditors of Taiwan Stock Exchange Corporation and the auditors of two Big Four accounting firms – Deloitte & Touche and KPMG in Taiwan) as respondents in order to obtain less biased data. Second, we investigate the moderating effects of controlling shareholders and the divergence of cash-flow and control rights on the relationship between independent directors and earnings management. The results show that both the existence of controlling shareholders and the divergence of cash-flow and control rights have significant suppressing effects on the relationship between independent directors and earnings management. Theoretical and practical implications are also discussed.     

Escape dynamics: A continuous-time approximation

We extend a continuous-time approximation approach to the analysis of escape dynamics in economic models with constant gain adaptive learning. This approach is based on the application of the results of continuous-time version of large deviations theory to the linear diffusion approximation of the original discrete-time dynamics under learning. We characterize escape dynamics by analytically deriving the most probable escape point and mean escape time. The approximation is tested on the Phelps problem of a government controlling inflation while adaptively learning a misspecified Phillips curve, studied previously by Sargent (1999) and Cho et al. (2002) (henceforth, CWS), among others. We compare our results with simulations extended to very low values of the constant gain and show that, for the lowest gains, our approach approximates simulations relatively well. We express reservations regarding the applicability of any approach based on large deviations theory to characterizing escape dynamics for economically plausible values of constant gain in the model of CWS when escapes are not rare. We show that for these values of the gain it is possible to derive first passage times for learning dynamics reduced to one dimension without resort to large deviations theory. This procedure delivers mean escape time results that fit the simulations closely. We explain inapplicability of large deviations theory by insufficient averaging near the point of self-confirming equilibrium for relatively large gains which makes escapes relatively frequent, suggest the changes which might help approaches based on the theory to work better in this gain interval, and describe a simple heuristic method for determining the range of constant gain values for which large deviations theory could be applicable.     

Learning,large deviations and rare events

We examine the role of generalized stochastic gradient constant gain (SGCG) learning in generating large deviations of an endogenous variable from its rational expectations value. We show analytically that these large deviations can occur with a frequency associated with a fat-tailed distribution even though the model is driven by thin-tailed exogenous stochastic processes. We characterize these large deviations, driven by sequences of consistently low or consistently high shocks and then apply our model to the canonical asset pricing framework. We demonstrate that the tails of the stationary distribution of the price–dividend ratio will follow a power law.     

Probabilistic assessment of fleet-level noise impacts of projected technology improvements

Demand projections for civil aviation have forecast increases in operations in future decades. Increases in demand are beneficial to the growth and advancement of the aviation industry, but also come with the threat of significant increase in environmental impacts. In response, the industry is focusing on programs to develop technologies for reductions in fuel burn, NO_x emissions, and noise. While aircraft-level impacts are an obvious metric of success, it is difficult to make informed robust technology investment decisions with respect to noise without understanding the fleet-level impacts. Fleet-level predictions of noise for technology explorations are especially complicated because it is computationally expensive, highly combinatorial, and airport-specific. Recently, rapid automated airport noise models have been developed, which can be simulated using Design of Experiments (DOE). The results of these simulations are used to generate surrogate models for airport noise contour area, which can be summed to yield a fleet-level impact. These models make use of simplifying assumptions to provide estimates of airport-level noise that are substantially cheaper to compute. They can be used to perform parametric trade-off analyses in conjunction with the equivalency assumption. Equivalency asserts that environmental impacts of a technology infused aircraft can be represented by scaled operations of the baseline aircraft in the same class. This simple assumption allows for the modeling of technology and market penetration factors under the same units: operations. This research uses surrogate models in conjunction with the equivalency assumption to examine two potential technology scenarios in a target forecast year, simulating technology and market performance factors to identify vehicle classes that could have the greatest impact in reducing contour area. Results show that technology and market performance of future notional Small Single Aisle and Large Single Aisle vehicle aircraft have the highest positive correlations with potential reductions in contour area.     

The international diversification-performance link in Spain: Does firm size really matter?

This study provides new insights into the link between international diversification and firm performance in a sample of large manufacturing firms and SMEs based in Spain for the 1994–2008 period. Specifically, the focus is on how the nature and shape of this relationship may vary over time with firm size. The results show the existence of a horizontal-S curve when the whole sample of firms is considered in the empirical analysis. However, major differences are found between SMEs and large firms, and even within the actual group of SMEs. Strong support is found in large firms for the existence of a horizontal-S curve. Within the group of SMEs, there are small firms with a linear and negative relationship, whereas medium-sized firms record a U-shaped form. These findings suggest that as the international diversification-performance link is size-dependent, future research should explicitly consider firm size in order to better understand the nature of this relationship.