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.     

不同监督情境下政府创新支持对企业研发投入的影响*——基于农业上市公司的实证研究

近年来，“三农”问题受到极大关注。为了应对外部资源、环境、科学技术等多重压力对农业升级与发展的影响，政府出台了诸多政策支持农业企业的技术研发与创新。本文从政府干预视角分析政府补助和税费返还两种形式的政府创新支持政策对农业企业研发投入的影响，重点分析机构投资者与大股东参与公司内部治理以及社会审计事务机构参与公司外部治理这两者所发挥的不同监督作用。研究发现：第一，不同形式的政府创新支持（政府补助和税费返还）对农业企业研发投入的影响并不一致。政府补助产生替代效应，税费返还则产生互补效应。第二，持股监督（机构投资者和大股东的持股比例上升）能增强政府补助对农业企业研发投入的替代效应，也能增强税费返还对农业企业研发投入的互补效应。第三，审计监督（社会审计事务机构的审计意见）会减弱政府补助支持对农业企业研发投入的替代效应，也会减弱税费返还对农业企业研发投入的互补效应。本文的研究发现为政府制定适宜的创新支持政策，以及合理发挥持股监督与审计监督的内外部治理作用，提供一定的决策依据和理论支持。     

The role of network embeddedness across multiple social networks: Evidence from mobile social network games

This article examines peer influences from network relationships within a social network game (i.e., embeddedness) and across such games (i.e., multiplexity). Drawing on social influence theory, we develop a bivariate Poisson model of users’ repeated visits and latent attrition that accommodates peer interaction after controlling for homophily. We estimate the model using data from two social network games with considerable overlap among network members. We find that friends who are only multiplex across games exert greater peer influence on users’ game visits than members who are embedded within a single game. We also determined that ignoring network multiplexity across games may lead firms to mistarget users due to biased peer influences of embedded friends. This result provides an unresearched explanation—strength of peer influence—for the mixed findings in previous literature on network embeddedness. We utilized our results to conduct several scenario analyses to demonstrate how firms can effectively manage users’ engagement and target users in multiple social network games.     

Can information and communication overload influence smartphone app users' social network exhaustion,privacy invasion and discontinuance intention? A cognition-affect-conation approach

Thanks to the expansion of network technologies and the coupling of smartphone hardware, younger generations have unparalleled access to a diverse range of information and interactive communication opportunities. Despite voluminous research on the causes of social network exhaustion and privacy invasion, limited academic attention has been devoted to understanding the driving forces and contributing factors for discontinuing usage of smartphone app. Drawing on the cognition-affect-conation paradigm, the present research proposes a conceptual research model to examine how information overload and communication overload effect social network exhaustion, privacy invasion, and ultimately, smartphone app users' intentions to discontinue usage. The study evaluates data from 442 smartphone app users, employing statistical analyses to demonstrate that both information overload and communication overload significantly impact users' exhaustion and privacy invasion. Additionally, social network exhaustion and privacy invasion are two major predictors of smartphone app discontinuance intention. By identifying the influential factors and causes of younger generations' discontinuous usage intention of smartphone app, this study meets the need for a thorough assessment of the social network exhaustion and privacy invasion phenomena. The findings may potentially enhance comprehension of the discontinuation intention phenomenon in the context of cognitive overload. Furthermore, they may provide novel insights for practitioners regarding effective strategies conducive to managing mobile social network adoption behavior, as well as the preservation of engagement levels among young users in mobile-saturated societies.     

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.     

全货运航空公司单分配严格枢纽航线网络优化设计

针对全货运航空公司，研究其货运航线网络的构建问题。基于单分配严格枢纽航线网络，对传统模型进行改进。以各航线上货物的委托运输成本和自有机队的运输成本，取代传统的单位运输成本和折扣因子，考虑枢纽点的中转成本和载运率对路径选择的影响。结合航空货运夜航的特征考虑各机队夜间可用时间的限制，以总成本最小为目标，构建数学模型，采用LINGO优化软件求解，验证模型的有效性，为全货运航空公司构建货运航线网络提供参考。     

供给侧改革视角下科技保险 “供需双冷”困境及其化解

在供给侧改革背景下，科技保险肩负着为科技创新保驾护航的历史使命。然而，科技保险试点10年来，依然面临需求低迷与供给不足并存的发展困境。其主要根源在于：严重的信息不对称造成市场失灵、“跛行”的财政支持政策不能形成有效激励以及不成熟的行业环境制约。要想走出这一困境，仅仅从需求方着力是远远不够的。科技保险的正外部性和科技保险市场高度的信息不对称，决定了必须从财政支持、产品创新、机制创新、中介培育及信息服务等方面进行供给侧改革。为此，提出应当构建供需并重的差异化财政支持机制、加大与需求侧相匹配的科技保险产品供给、创新科技保险契约模式及运行机制、搭建科技保险中介服务和信息支持平台等建议。     

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.     

基于转移概率和网络联系的辽宁省农村居民点适宜性评价

[目的]农村居民点适宜性评价在农村居民点调控、规划和预测中具有基础作用,且农村居民点适宜性评价应顾及农村居民点之间的社会经济活动联系。[方法]以辽宁省为研究区,首先运用逐步Logistic回归模型构建农村居民点转移概率,其次运用网络分析方法确定农村居民点图斑间的网络联系强度,最终通过加权求和方法确定农村居民点转化概率,进行农村居民点空间布局适宜性评价。[结果]辽宁省农村居民点可以划分为高度适宜类、较适宜类、一般适宜类和不适宜类4类,分别占农村居民点总面积的比例为28.18%、31.32%、13.26%和27.24%;从各地貌分区来看,高度适宜类主要集中分布在中部平原地区和东部山地丘陵区中的南方沿海地区,而不适宜类整体分布则较为零散;辽宁省中部平原区位条件好,东部沿海地区区位条件也较好,西部山地丘陵区地区较差。[结论]研究方法和结论有助于全面把握农村居民点社会经济与区位适宜性特征,为农村居民点科学规划提供科学指导。     

利用大数据分析技术的智能化网络故障诊断系统

随着网络技术的快速发展以及各种新网络业务的出现，网络的规模日益扩大和复杂。同时，各种网络服务对于网络可靠性的要求也逐渐提高，这就对网络的维护提出了更高的要求。在这种情况下，传统的网络维护模式逐渐不能适应现代网络发展的需求。针对现代大型网络的故障诊断问题，利用大数据分析技术，设计并完成了一套整体的智能化故障诊断系统。在此系统中，针对不同的故障类型，利用能够获取到的数据类型，针对性地设计了相关的故障诊断模块和算法。系统整体基于开源的数据处理平台构建，具备良好的可扩展性。通过实际案例数据的验证，结果表明此系统具备良好的处理实际网络故障的能力，将大数据分析技术应用于网络故障诊断领域也具备较强的可行性。