Asset specificity and conditional accounting conservatism

Asset specificity, the redeployability of an asset to alternative uses, is a key determinant of an asset's resale value. Asset specificity has a direct impact on a firm's ongoing fair value determination, bankruptcy risk, liquidation value, and abandonment option. We document a significant negative association between asset specificity and conditional conservatism. Further tests reveal that this inverse relation manifests as bad news being less quickly incorporated in earnings as asset specificity increases. We find no difference in the extent to which good news is delayed in earnings for firms conditional on asset specificity. In addition, the documented association is stronger when asset specificity arises from lower within‐industry acquisition activity. The association is also more pronounced for firms that are in less competitive industries, have institutional investors, have limited access to the public debt market, and/or have more unsecured debt. Our findings are noteworthy for regulators and researchers given the recent interest in the determinants of conservatism.     

当前高校辅导员师德师风现状及建设路径探究

思想道德建设是精神文明建设的灵魂,贯穿于整个社会发展的始终.辅导员作为高校学生思想道德教育主要建设者,对大学生思想起着引导、示范作用.因此,做好高校辅导员队伍的师德师风建设影响着学校的教育改革方向、人才输出质量.当前我国高校辅导员师德师风建设存在一些令人担忧的问题,高校需按照习近平在北京师范大学的《做党和人民满意的好老师》讲话精神要求对辅导员队伍的师德师风建设路径进行探究并落实.     

财务公司开展产业链金融业务风险管理分析

产业链金融作为一种新型金融服务模式,为企业扩大市场占有率,增加销售收入,提高盈利能力起到了积极促进作用。财务公司开展产业链金融业务,一方面,可以支持企业集团发展,提高企业的市场地位;另一方面,可以扩展自身业务范围,带来了相关收益,提高了财务公司在企业集团中的影响力。为了控制因业务范围扩大而增加的风险,财务公司应当重视开展对应的风险管理工作。     

A HPC based cloud model for real-time energy optimisation

Recent research has emphasised that an increasing number of enterprises need computation environments for executing HPC (High Performance Computing) applications. Rather than paying the cost of ownership and possess physical, fixed capacity clusters, enterprises can reserve or rent resources for undertaking the required tasks. With the emergence of new computation paradigms such as cloud computing it has become possible to solve a wider range of problems due to their capability to handle and process massive amounts of data. On the other hand, given the pressing regulatory requirement to reduce the carbon footprint of our built environment, significant researching efforts have been recently directed towards simulation-based building energy optimisation with the overall objective of reducing energy consumption. Energy optimisation in buildings represents a class of problems that requires significant computation resources and generally is a time consuming process especially when undertaken with building simulation software, such as EnergyPlus. In this paper we present how a HPC based cloud model can be efficiently used for running and deploying EnergyPlus simulation-based optimisation in order to fulfil a number of objectives related to energy consumption. We describe and evaluate the establishment of such an application-based environment, and consider a cost perspective to determine the efficiency over several cases we explore. This study identifies the following contributions: (i) a comprehensive examination of issues relevant to the HPC community, including performance, cost, user perspectives and range of user activities, (ii) a comparison of two different execution environments such as HTCondor and CometCloud and determine their effectiveness in supporting simulation-based optimisation and (iii) a detailed performance analysis to locate the limiting factors of these execution environments.     

CEO Stock‐Based Incentive Compensation and Firm Performance: A Quantile Regression Approach

This study employs the quantile regression model to examine the non‐monotonic impact of CEO stock‐based compensation on firm performance, using the data for U.S. non‐financial firms from 1993 to 2005. The results indicate that while the impact of CEO stock‐based pay on firm performance is positive for firms in the higher earnings quantile levels, the impact is negative for firms in the lower levels. In addition, the “V‐shaped” relationship between CEO stock‐based pay and firm performance satisfactorily explains the longstanding disagreement among earlier studies with regard to whether CEO stock‐based pay can enhance firm performance. Furthermore, the quantile‐varying pattern of the impact of stock‐based compensation on firm performance is robust after controlling for the industrial and yearly effects. It is also robust to the use of the pay‐for‐performance sensitivity as an alternative explanatory variable or the market‐based measure of performance as the dependent variable, or the consideration of the suspected endogenous problem between firm performance and stock‐based compensation.     

Long‐term economic consequences of corporate environmental responsibility: Evidence from heavily polluting listed companies in China

In this study, we aim to investigate the long‐term economic consequences of corporate environmental responsibility (CER) by companies from the perspective of earnings persistence and investors' response. Based on firm‐level data of 1,010 heavily polluting listed companies in China, the empirical results are as follows. First, the CER of China's heavily polluting listed companies has significantly improved their earnings persistence, that is, earnings quality. Second, the positive long‐term economic effect of CER has been achieved through two paths: improving companies' operational efficiency and reducing their credit costs. Third, CER increases investors' response to heavily polluting companies' accounting earnings. Moreover, state‐owned listed companies achieve more significant positive long‐term economic effects from CER than others. The results suggest that heavily polluting companies should correctly identify the long‐term value of CER rather than pay excessive attention to the impact of CER on their current costs and benefits.     

绿色创新生态系统生成机制研究

推动绿色创新生态系统生成是区域经济高质量发展的重要举措。通过分析绿色创新生态系统内涵和结构，基于超循环理论，探讨绿色创新生态系统生成过程，并利用江联重工集团案例分析，明确绿色创新生态系统形成动力要素。结果表明：绿色创新生态系统具有绿色发展性、生态性、动态演化性、高风险性和复杂性特征；绿色创新主体之间的相互作用关系，催生共生竞合、动态演化的超循环，而超循环体系能够加强绿色创新主体相互作用，推动绿色创新生态系统生成；资源配置与匹配效应、环境规制与市场导向、用户交互与敏捷响应、共生竞合与跨界整合是绿色创新生态系统生成的重要驱动因素。     

技术创业型企业孵化资本投入的风险管控——来自多案例对比

待孵化的技术创业型企业同时具有概念性技术向差异化产品转化的高风险与产品异质性被认同后溢价评估的高收益特点，导致其投资者多处于隔岸观火却欲罢不能的的孵化投资矛盾中。对孵化资本实施有效的风险管控，成为吸引外部资本投入的关键。基于此，选择在可创概念选育与技术创业孵化领域探索出高成功率路径的概念证明中心、YCombinator和创新工场为研究案例，分析其在创业项目筛选、孵化资金运营等关键环节的风险管控方式，以期完善我国孵化资本管控理论、助力我国商业孵化器提高资金风险管控能力、促进外部资本投入。     

The effects of slack resource of R&D professionals on firm performance: evidence from traditional manufacturing firms in an emerging economy

Abstract

As an important component of organizational human resource slack (HR slack), the slack of research-and-development (R&D) professionals has been studied by several authors. However, it remains unclear whether and how this small component of general HR slack, i.e. the slack of research-and-development professionals (RHR slack), may affect overall firm performance in an emerging economy without much R&D tradition or pro-R&D institutions. Based on two organizational theories, i.e. institutional theory and the resource-based view of the firm (RBV), we propose competing hypotheses on the relationship between RHR slack and firms’ accounting performance. We also examine whether the relationship between RHR slack and firm performance should be linear or curvilinear. Finally, we also test the relationship between RHR slack and other dimensions of firm performance. Several interesting findings have been obtained. For instance, neither the perspective based on institutional theory nor that based on RBV can fully predict all types of RHR slack-performance relationships, be these relationships linear or curvilinear.     

军民融合社会关系网络对军民融合新创企业成长的影响

军民融合新创企业是推动我国国防建设和社会经济融合发展的重要力量，军民融合社会关系网络具有丰富的异质性资源，可以有效促进军民融合新创企业成长。借鉴社会网络理论，构建以关系深度、关系广度、关系高度为代表的军民融合社会关系网络、耦合共生与军民融合新创企业成长理论模型，通过对收集的304份军民融合新创企业问卷数据进行实证分析，结果发现：军民融合社会关系网络对军民融合新创企业成长具有正向影响；耦合共生在军民融合社会关系网络与军民融合新创企业成长间发挥中介作用；创业导向显著调节耦合共生与军民融合新创企业成长的关系。