企业绩效、财务资源与战略风险——对鲍曼悖论及财务资源调节效应的实证分析

鲍曼悖论———跨企业绩效与战略风险负相关,是战略管理研究领域的经典谜题,自20世纪80年代提出以来引发了众多学者持续的研究和争论。文章选取国内937家民营上市公司作为样本,结合前景理论、行为理论以及资源基础理论,通过构建二次回归模型探讨了跨企业战略风险与绩效之间的关系,以及财务资源配置对二者关系的调节作用。研究结果显示,我国民营上市公司绩效与战略风险之间呈现正U型曲线关系;财务资源配置负向调节绩效与战略风险的相关关系。     

Do Interest Rate Liberalization and Fintech Mix? Impact on Shadow Deposits in China

In this paper we attempt to characterize the stability of shadow deposits in China with interest rate liberalization and fintech developments. We emphasize that shadow banks provide higher but riskier returns and such characteristics affect the stability of shadow deposits. In our setting, the stability of shadow deposits is influenced by two offsetting effects, namely: the patience effect, which makes investors more willing to wait because of the potentially higher returns; and the uncertainty effect, which makes investors more likely to withdraw as a result of higher risk. Under liberalized interest rates, the patience effect will erode and the uncertainty effect will be heightened because the post‐liberalization higher return of traditional banks undermines the importance of the extra return of shadow deposits to depositors, while preserving the importance of the risk aspect. Fintech development is modeled as a reduction in the withdrawal cost that facilitates runs. This affects the stability of shadow deposits because of their wider fintech reliance. Regulators should be cautious in pushing interest rate liberalization and fintech application alongside building a safety net for shadow banking.     

Foreign Direct Investment Inflows and Intellectual Property Rights: Empirical Evidence from Different Income Groups

This study examines the impact of intellectual property rights (IPRs) on Foreign direct investment (FDI) inflows by considering global data with three income groups classified by World Bank (i.e. high-, middle-, and low-income groups). The empirical model relates FDI inflows to IPRs, controlled by a set of known variables, namely GDP per capital, trade openness, real exchange rate, and real interest rate. The study covers panel data of between 35 and 100 countries for the period 1980–2014. The panel cointegration tests suggest that FDI inflow and IPRs with the other control variables are cointegrated for full countries and high-income group. Their estimated (long-run) coefficients are 0.04 and 0.18, respectively, but insignificant in the short-run. The impact (short-run) of TRIPS agreement is positive for full countries, but negative for low-income group. Non-causality tests further support the role of IPRs on FDI. Various transmission channels have been identified, in particularly for low-income countries. This study enlightens policymakers about the policy on creating a conducive and sustainable environment for IPRs in order to encourage FDI inflows to their countries.     

夫妻共同持股、公司治理与家族企业社会责任

婚姻和家庭关系可以通过家庭成员的嵌入而深刻影响家族企业的公司治理及战略决策。文章采用手工搜集的2010-2018年中国A股上市家族企业实际控制人及其配偶持股数据,检验了夫妻共同持股的治理模式对家族企业社会责任的影响。结果发现：相比丈夫单独持股企业,夫妻共同持股家族企业的社会责任表现更差,其CSR总得分与CSR评级均显著更低。机制检验表明,夫妻共同持股时,双方家族成员会更多的介入企业经营治理并担任董监高职务、企业内部控制质量更差、大股东利益侵占更加严重,低效的公司治理水平抑制了家族企业的社会责任表现。文章结论在采用工具变量法、PSM、安慰剂检验、实际控制人婚变等一系列稳健性检验后仍然成立。文章研究表明女性“她力量”未能在家族企业社会责任领域发挥决定性作用。     

BAYESIAN STATE SPACE MODELS IN MACROECONOMETRICS

State space models play an important role in macroeconometric analysis and the Bayesian approach has been shown to have many advantages. This paper outlines recent developments in state space modelling applied to macroeconomics using Bayesian methods. We outline the directions of recent research, specifically the problems being addressed and the solutions proposed. After presenting a general form for the linear Gaussian model, we discuss the interpretations and virtues of alternative estimation routines and their outputs. This discussion includes the Kalman filter and smoother, and precision-based algorithms. As the advantages of using large models have become better understood, a focus has developed on dimension reduction and computational advances to cope with high-dimensional parameter spaces. We give an overview of a number of recent advances in these directions. Many models suggested by economic theory are either non-linear or non-Gaussian, or both. We discuss work on the particle filtering approach to such models as well as other techniques that use various approximations – to either the time state and measurement equations or to the full posterior for the states – to obtain draws.