Uncovering asset stripping during China's privatization

This paper empirically studies the occurrence and extent of asset stripping via undervaluing public assets during the mass privatization of state-owned and collectively owned enterprises in China. Using three waves of a national survey of private firms, we provide evidence that state-owned and collectively owned assets were substantially underpriced, indicating the presence of corruption during privatization. Further analysis shows that the extent of underpricing is more severe in regions with less market competition or weaker property rights protection, and more pronounced for intangible assets such as intellectual property rights and land use rights. When comparing firm efficiency between privatized firms and de novo private firms, we find that the former group continues to enjoy considerable preferential treatments, yet significantly underperforms the latter, possibly due to continued government control and intervention. Finally, we provide evidence that insider privatization is an important source of corruption during the privatization process.     

中国高端装备制造业自主技术创新效率稳定性及影响因素研究

在全面实施创新驱动发展战略的时代背景下，揭示中国高端装备制造业自主技术创新效率稳定性，测度相关因素的影响强度与方向，对揭示中国高端装备制造业自主技术创新规律，制定其发展策略具有重要指导意义。聚焦中国高端装备制造业自主技术创新效率稳定性及影响因素，采用DEA-Malmquist指数方法和Tobit回归模型进行实证研究，结果表明，中国高端装备制造业自主技术创新效率存在一定波动性，且各细分行业技术创新效率内部稳定性较差，产业自主技术创新效率整体稳定性不高；自主技术创新投入因素和环境影响因素对产业自主技术创新效率的影响具有较高的异质性，其中创新资金投入和人力资源投入对自主技术创新综合效率、纯技术效率及规模效率具有正向影响，而新产品开发投入和企业规模对自主技术创新综合效率、纯技术效率和规模效率的影响具有异质性，政策因素与市场因素分别具有显著和非显著负向影响，外源性创新因素具有显著正向影响，且影响强度较大。在此基础上，提出调整政府对高端装备制造业创新支持模式、加强外源性创新与智力引进等策略建议。     

创新要素投入产出效率随机变动测度与结果分析

创新要素配置在投入产出两个环节中生成大量不完全技术信息，投入产出效率随机变动更加明显。从投入产出数据集合中提炼共同因子，与不可观测变量构成预测器，建立因子增广向量自回归模型(FAVAR)，分析随机变动方差构成，测度投入产出效率随机变动程度。随机变动效应包括水平效应、稳定性效应和规模效应。投入产出效率自回归扰动项表示随机变动程度，将其细分为共同因子，计算预测器方差及其与投入产出效率的协方差。基于669家上市公司月度、季度、半年度和年度技术研发数据，比较分析投入产出效率随机变动程度及形成原因，引入脉冲响应法分析变量方差构成与变动特征，提出相关政策建议。     

组织模块化对研究型大学技术转移绩效的影响

技术转移是将社会科技资源转化为实体经济效益的重要途径。当前，我国研究型大学技术转移渠道不畅、技术转移绩效不高、大学科技成果成功产业化“最后一公里”问题凸显。基于现实需求和研究缺口，构建组织模块化对研究型大学技术转移绩效影响的理论模型。在此基础上，收集我国38所研究型大学样本数据，采用SPSS24.0和AMOS软件进行结构方程路径分析，论证和检验组织模块化对于研究型大学技术转移绩效的影响机制。结果表明：组织模块化对研究型大学技术转移绩效具有显著正向影响；技术创新能力在组织模块化与技术转移绩效之间起显著中介作用；知识共享的调节作用主要体现在组织模块化独立性、响应性与技术创新能力之间的关系上，其对组织模块分工性与技术创新能力关系的影响作用不显著。     

开放度组合策略与创新绩效类型匹配关系研究——吸收能力的调节效应

根据创新开放广度与深度，提出高广度-高深度、高广度-低深度、低广度-高深度与低广度-低深度4种组合策略。以吸收能力为调节变量，构建开放度组合策略与创新绩效关系模型，以我国三大行业201家企业为调查对象，采用多元线性回归分析方法进行实证检验。研究表明：实施高广度-高深度组合策略的企业倾向于追求突破式创新绩效，实施其它三类组合策略的企业倾向于追求渐进式创新绩效；吸收能力不仅能够积极调节高广度-高深度、高广度-低深度、低广度-高深度组合策略与突破式创新绩效的关系，而且能够积极调节3种组合策略与渐进式创新绩效的关系，但是无法调节低广度-低深度组合策略与突破式创新绩效、渐进式创新绩效的关系。     

Conditional Mandates on Management Earnings Forecasts: The Impact on the Cost of Debt

Exploiting a unique conditional disclosure mandate on management earnings forecasts (MEFs) in China, we examine the differential effects of voluntary and mandatory MEFs on the cost of debt. We find that firms providing voluntary MEFs have lower cost of debt than do mandatory forecasters and nonforecasters. The results of the channel analyses reveal that voluntary forecasters have greater commitment to voluntary MEFs in future periods than do mandatory forecasters and nonforecasters, and the precision, accuracy, and timeliness of MEFs are higher for voluntary forecasters than for mandatory forecasters. Additional analyses show that the differential effects of voluntary and mandatory MEFs on cost of debt are stronger for voluntary forecasters operating in opaque information environments, issuing high-quality and confirming forecasts, controlled by private shareholders, and operating in highly competitive product markets. Overall, our results indicate that, compared with mandatory MEFs, voluntary MEFs are more informative for credit investors, particularly for firms facing greater information risk and operating uncertainty.     

预算软约束与风险偏好强化：非均衡式创新中的风险点识别研究

计划经济体制导致资源使用效率低下，社会中存在大量非均衡市场和领域，这为中国企业实施均衡式创新创造了条件。随着均衡式创新的帕累托改进空间逐渐缩小，利用非均衡式创新提升资源使用效率已刻不容缓。在非均衡式创新过程中，政府极易侵入社会主体创新边界，导致创新租值降低或耗散。政府对创新主体的财政资金扶持容易对创新预算形成软约束，导致创新目标替代，强化创新主体的风险偏好，放大创新系统风险，诱发俘获政府行为，最终导致创新企业逆向淘汰。因此，明确政府在创新活动中的边界与风险，对我国实施创新驱动发展战略至关重要。     

基于状态空间模型的政产学研资协同创新四螺旋影响因素实证研究

在三螺旋理论框架下，搭建政府、产业、大学、研究机构和资本部门四螺旋模型，运用文献归纳法选取多元主体协同创新6类影响因素，以主体间协同程度测度结果为因变量基础，利用状态空间模型动态分析这些因素影响方向、大小和趋势。实证结果表明，中国经济因素表现为促进作用持续提升；中国技术市场规模和创新产业规模表现为先抑制后促进，且促进作用不断提升；中国产品市场需求和创新投入表现为抑制作用持续提升；中国创新产出在时间上表现为促进作用先提升后下降并最终稳定的状态。最后，提出不同政策建议，以促进中国政产学研资协同创新体系后续发展。     

Why and when organizational culture fosters affective commitment among knowledge workers: the mediating role of perceived psychological contract fulfilment and moderating role of organizational tenure

Drawing on Denison and Mishra (1995)’s framework of organizational culture, this study examines why and when organizational culture is related to knowledge workers’ affective commitment. Data were collected from 640 employees working in three high-technology companies in China. The findings indicate that the relationship between organizational culture and affective commitment is mediated by perceived psychological contract fulfilment. In addition, organizational tenure moderates the relationship between two external dimensions (i.e. adaptability and mission) of organizational culture and perceived psychological contract fulfilment. This study extends the current theoretical framework of organizational culture by demonstrating the underlying mechanism and the boundary condition of the relationship between organizational culture and affective commitment. The findings also provide practical implications for international managers to design appropriate human resource management policies and practices in China.     

General Purpose Technologies and local knowledge accumulation — A study on MNC subunits and local innovation centers

This research looks into the innovative activities of subunits of large non-U.S firms in the U.S from 1969 to 1995, suggesting that the innovations in the subunits of multinational corporations are closely linked to their specializations in General Purpose Technologies (GPTs). GPTs enable recombining knowledge from different domains on an international scale, and that the specialization of innovations in GPT fields within a subunit is positively associated with the innovative capacity at large, along with the degree of technological diversification of that specific subunit. As firms expand geographically to tap into local innovation centers to develop new growth alternatives, specialization of GPTs in these firms actually facilitates further geographical dispersion of innovative activities across locations. Lastly, additional specializations of innovations in GPT fields within the host innovation centers does help in attracting innovation activities of firms from a wider range of industries.