非国有大股东对国企超额雇员的影响:成本效应还是激励效应

基于竞争理论的国企改革思路强调减少政策性负担摊派,基于产权理论的改革思路侧重于引入非国有资本,以解决产权不清晰与所有者缺位问题.本文尝试融合两种理论,以国企超额雇员问题为研究对象,从非国有大股东视角探究混合所有制改革成效.研究发现:非国有大股东能够显著降低国企超额雇员,减弱超额雇员对公司价值的损害作用,且该治理作用会随非国有大股东相对力量的提高而增强;从作用机制来看,该治理作用不仅表现为劳动力成本尤其是员工薪酬的节约,还表现为内部薪酬差距和管理层薪酬业绩敏感性的提高,兼具成本效应与激励效应;该作用在地区就业压力较小、劳动密集度较低以及劳动保护水平更低的环境下更为显著.     

基于指数随机图模型的专利技术扩散机制实证研究

网络嵌入视角下专利技术扩散路径间存在相关性，但这种网络内生性影响并未在已有研究中得到足够重视。将扩散因素归纳为：专利价值、专利保护、多维同配、结构嵌入，从扩散网络内生、外生因素两个方面构建分析模型，并以石墨烯领域为例，采用指数随机图模型，开展实证研究。实证结果说明：专利价值、技术、地理、组织层面同配性、闭合三角结构嵌入均正向促进专利技术扩散，而专利保护强度反向抑制技术扩散。值得注意的是，专利技术扩散存在强烈的结构嵌入倾向，融合网络内、外生因素的模型能够更好地捕捉专利技术扩散机制。     

异质机构持股、政府补贴与企业技术创新

机构投资者与政府补贴等优惠政策作为企业经营的重要资本来源和制度保障，势必对企业技术创新产生重要影响。以我国沪深两市战略性新兴上市企业2010-2015年面板数据为研究样本，对异质机构持股、政府补贴与企业技术创新的关系进行实证分析。结果发现：机构持股对企业技术创新没有显著影响，政府补贴可以促进机构持股对企业技术创新尤其是实质性技术创新产生显著正向影响；基金持股对企业技术创新存在显著负向影响，券商持股与QFII持股对企业技术创新分别存在不显著和显著正向影响；政府补贴能够降低基金持股对企业技术创新的负向影响，有效促进基金持股对企业技术创新的正向影响，并通过调节作用促进券商持股和QFII持股对企业技术创新产生更加显著的正向效应；政府补贴对基金持股与企业非实质性技术创新关系的正向调节作用更加显著，对券商持股和QFII持股与企业实质性技术创新关系的正向调节作用更加显著。     

Agency costs and tax planning when the government is a major Shareholder

In state owned enterprises (SOEs), taxes are a dividend to the controlling shareholder, the state, but a cost to other shareholders. We examine publicly traded firms in China and find significantly lower tax avoidance by SOEs relative to non-SOEs. The differences are pronounced for locally versus centrally-owned SOEs and during the year of SOE term performance evaluations. We link our results to managerial incentives through promotion tests, finding that higher SOE tax rates are associated with higher promotion frequencies of SOE managers. Our results suggest managerial incentives and tax reporting are conditional on the ownership structure of the firm.     

信贷管制、隐性契约与贷款利率变相市场化——现象与解释

本文将视角聚焦于利率市场化改革之前,重点研究金融抑制对银企信贷契约的异化。研究发现,在金融抑制背景下银企之间存在以留存贷款为表现的隐性契约,用以帮助银行在满足管制要求的同时追求利润最大化。本文对这一现象进行了理论分析与实证检验,发现隐性契约的发生与否会随着货币政策、企业特征等因素的改变而有所差异,这在一定程度上起到了利率变相市场化的作用。进一步研究则发现,这一隐性契约对企业价值产生了负向影响。     

Institutional investors and international investments in emerging economy firms: A behavioral risk perspective

While the extant literature has examined the influence of controlling and non-controlling principals on the internationalization decisions of emerging market firms, heterogeneity among non-controlling principals is largely ignored. The risk characteristics of different groups of owners, shaped by their institutional environments, could contribute to the differences in their preferences for firm internationalization. In this paper, we draw insights from institutional theory and behavioral risk perspective to examine the risk propensities and risk perceptions of various non-controlling principals, such as pressure-resistant (FIIs and mutual funds) and pressure-sensitive (banks, insurance companies and lending institutions) institutional investors. Empirical results from a sample of 2364 unique Indian firms during the 2005–2014 time-period show that, after controlling for firm-level resources and capabilities identified in prior literature, the ownership share of different types of institutional investors is associated with firms’ international investments differently. While pressure-sensitive institutional investors, such as banks and insurance companies, are not supportive of foreign investments by firms, pressure-resistant institutional investors, such as FIIs and mutual funds, are supportive of this strategic decision. Furthermore, our results show that the family ownership in a firm (measured in terms of family shareholding) further lowers the preference of pressure sensitive institutional investors for internationalization, whereas family ownership positively moderates the pressure resistant investors towards internationalization.     

金融科技对传统银行行为的影响——基于互联网理财的视角

本文使用2011-2015年263家银行的年报数据和北京大学数字金融研究中心基于蚂蚁金服用户数据构建的地市级数字金融普惠指数,探究金融科技的发展对银行行为的影响。研究发现金融科技的发展实质上推动了一种变相的利率市场化,改变了银行的负债端结构,使得银行负债端越来越依赖于同业拆借等批发性资金。负债端结构的改变导致银行资产端风险承担偏好上升,但是借贷利率和净息差都有所下降。即银行选择了更高风险的资产来弥补负债端成本上升所造成的损失,但并没有将成本向下游企业转移。此外,本文还发现规模越大的银行受到金融科技的冲击越小。     

Ownership discrimination and private firms financing in China

This study examines the financing/funding of private firms in China. Our results show that private firms are significantly less funded through formal financing channels such as bank loans than state-owned firms, and hence have to resort to alternative financing such as trade credit. Consistent with the theoretical expectation and literature, there is a substitution effect between trade credit and bank loans for private firms, but this effect is much weaker compared to that of state-owned firms. Moreover, while the univariate comparisons indicate that private firms obtain more notes payable than state-owned firms, the multivariate regression analyses show that the relation between bank loan and notes payable is positive and indifferent between private and state-owned firms.     

Host country risk and foreign ownership strategy: Meta-analysis and theory on the moderating role of home country institutions

Empirical evidence for the relationship between host country risk and a firm’s ownership level in its foreign entry strategy is inconclusive. We revisit this relationship by integrating the internalisation logic with an institution-based view to examine the moderating effects of formal and informal institutions in the home country. By meta-analysing 64 empirical studies involving 52,229 ownership decisions on foreign market entry, this study gives support to theoretical arguments that the focal relationship is positively moderated by institutional constraints on policymakers and risk-taking tendencies in the home country but is negatively moderated by the joint effect of these two institutional factors. These findings shed new light on the literature of host country risk and foreign ownership strategy. Besides describing the implications of the findings for theory and practice, we discuss the agenda for future theory development in international business.     

Objective methods for graphical structural learning

Graphical models are used for expressing conditional independence relationships among variables by the means of graphs, whose structure is typically unknown and must be inferred by the data at hand. We propose a theoretically sound Objective Bayes procedure for graphical model selection. Our method is based on the Expected-Posterior Prior and on the Power-Expected-Posterior Prior. We use as input of the proposed methodology a default improper prior and suggest computationally efficient approximations of Bayes factors and posterior odds. In a variety of simulated scenarios with varying number of nodes and sample sizes, we show that our method is highly competitive with, or better than, current benchmarks. We also discuss an application to protein-signaling data, which wieldy confirms existing results in the scientific literature.