经济改革对技术创新能力的影响--基于中国1987～2013年数据的协整分析

本文采用中国1987～2013年的宏观经济数据，对经济改革与技术创新能力之间的关系进行了深入的研究。研究结果表明，经济改革与技术创新能力之间存在单向因果关系，经济改革是技术创新能力变化的原因；长期均衡状态下，技术创新能力提升的近30％可由经济改革解释；短期中，经济改革的短期波动对技术创新能力短期波动的影响在所有的短期波动中占主导地位。     

职业院校工学结合人才培养模式探索

剖析了职业教育人才培养过程的关键环节,梳理出职业教育人才培养过程中的4个重要阶段;系统探讨了工学结合人才培养模式的主要内涵;总结得出,职业岗位群的性质及各岗位之间的逻辑关系是提高职业院校工学结合人才培养模式适应性的关键因素,需要根据实际需求对此人才培养模式作出有针对性的调整。     

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。