Accounting Research: Where Now?

This paper provides a commentary on the studies of Barth (2015), Dyckman and Zeff (2015), Ohlson (2015), Sunder (2015), and Whittington (2015) as they relate to past, present, and future directions in accounting research.     

Time-varying inter-urban housing price spillovers in China: Causes and consequences

The spatial spillovers of housing prices across regions are well documented by a large body of previous studies. This paper tries to investigate the dynamic (time-varying) evolution of spatial interactions and their underlying driving factors intensively. Using a recently developed Generalized Autoregressive Score (GAS) model, this paper examines the time-varying spatial spillovers of housing prices in 70 major and median cities of China from 2006 to 2019. We find that the GAS model can well capture the impact of time-varying critical events of Chinese real estate market on the whole. However, different regions display heterogeneous variation patterns over time. Further investigation shows that inter-regional labor mobility and trades are two major channels, accounting for 1.25% and 2.58% of the monthly standard deviations of spatial spillover effects from one city to another, respectively. We also characterize and distinguish between three time-varying patterns of spatial spillovers within different regions of China. Our results shed lights on the understanding of spatial spillovers across regional real estate markets across different city network structures within China.     

Internal habits formation and optimality

In a very influential model with internal habits, Carroll et al., (2017, 2000), establish that an increase in economic growth may cause a positive change in savings. The optimality of this result, and of many other contributions using a similar framework, has been questioned by some authors who have observed that the parametrization used in these models always implies a utility function not jointly concave in consumption and habits. In this paper, we revisit the optimality issue and, using advanced techniques in Dynamic Programming, we answer the following long-standing open questions: (i) Is the solution found in Carroll et al., (2017, 2000) optimal? (ii) Is it also unique or do other optimal solutions exist?     

员工创造力激发研究评述：多层次多视角机制与精神性动力

员工创造力是组织创新的先决条件和根本源泉，员工创造力激发成为经典的研究主题，并取得了相当丰富的研究成果，然而，国内却鲜见针对员工创造力激发机制进行全方位、多层面和多视角的梳理与总结。对员工创造力的激发机制研究进行系统回顾和深入分析，首先，从员工创造力激发的理论基础出发，总结员工创造力激发的经典理论；其次，按照个体、团队和组织的逻辑顺序对以往散见在各个组织层次的员工创造力激发机制进行多视角梳理和探讨。随着研究的深入，组织内精神性逐渐成为员工创造力激发的新兴动力，为此，从多个视角归纳基于精神性的员工创造力激发机制；最后，展望未来研究方向，以期推动员工创造力激发机制研究走向深入和完善。     

MORE THAN A FEELING: CONFIDENCE,UNCERTAINTY, AND MACROECONOMIC FLUCTUATIONS

Economists, observers, and policy-makers often emphasize the role of sentiment as a potential driver of the business cycle. In this paper, we provide three contributions to this debate. First, we give an overview of the recent literature on the nexus between sentiment (considering both confidence and uncertainty) and economic activity. Second, we review existing empirical measures of sentiment, in particular consumer confidence, stock market volatility (SMV) and Economic Policy Uncertainty (EPU), on monthly data for 27 countries, 1985–2016. Third, we identify some new stylized facts based on international evidence. While different measures are surprisingly lowly correlated on average in each country, they are typically highly positively correlated across countries, suggesting the existence of a global factor or sizeable international spillovers of sentiment. Consumer confidence has the closest co-movement with economic and financial variables, and most of the correlations are contemporaneous or forward-looking, consistent with the view that economic sentiment is indeed a driver of activity.     

External corporate venturing modes as new way to develop dynamic capabilities

Today, firms encounter scarce resources and rapid technology change which render formerly successful business models obsolete. Research shows that some firms perform better than others in continuously discovering, evaluating, and exploiting opportunities in volatile environments and that this is dependent on firm’s dynamic capabilities. Besides obtaining dynamic capabilities through internal R&D activities, firms have open up their innovation process to pursue dynamic capabilities outside their organizational boundaries through external corporate venturing by accessing startup's technological capabilities necessary to innovate. External corporate venturing is a means to develop new distinctive capabilities and businesses by exploring and exploiting business opportunities outside a firm’s existing boundaries. Drawing on the dynamic capability literature, we use a multiple case study approach to examine the contribution of external corporate venturing to firms’ dynamic capabilities. Our results reveal that firms indeed use corporate venturing to identify and exploit startup’s technological knowledge and competencies to increase firm’s dynamic capabilities. But our empirical data also shows that not every firm is fully profiting from all dynamic capability phases as their corporate venturing modes are not linked with each other and cumulative effects are not realized.     

Does computer penetration increase farmers’ income? An empirical study from China

The diffusion and adoption of modern information technology provide new chance for China to close urban-rural income gap. This paper uses China's provincial panel data from 2002 to 2013 to investigate the effect of computer penetration on rural residents' income. A public program aiming to connect every village with broadband Internet and other rural facilities provides plausibly exogenous variation in rural residents' availability and adoption of the broadband Internet, which is used to explore the instrument variable for rural computer penetration. The results show that rural computer penetration tends to increase rural residents' income over time, but the average effect remains limited. The dynamic panel threshold effects model, which allows for both the threshold variable and other covariates to be endogenous, is further used to explore the constraints of the income-increase effect of rural computer penetration. It shows that the effect is at least doubled over the average effect estimated from instrument variables method, once the digital divide causes are removed. Our findings have important implications for the government to increase rural residents' income and reduce urban-rural income gap by encouraging rural computer usage and removing the digital divide.     

Stock market reactions to domestic sentiment: Panel CS-ARDL evidence

This study sets out to explore the effects of business and consumer sentiment on stock market performance, within the separate contexts of advanced and emerging markets. The empirical analysis is carried out using the cross-sectionally augmented autoregressive distributed lag (CS-ARDL) modeling approach, which considers time dynamics, cross-sectional heterogeneity, and cross-sectional dependence. The findings for developed markets suggest that business sentiment has positive leading effects on stock returns, across short- and long-term time horizons, while for emerging markets, the price impact of business sentiment turns out to be short-lived. On the other hand, consumer sentiment tends to affect positively both market types, albeit only in the short run. Furthermore, the influence of sentiment indicators seems to be stronger in emerging- than in developed-market countries. The results remain robust, even after controlling for a rich range of potential predictors of stock returns. Generally, such evidence highlights the relevance of psychological factors, such as business and consumer sentiment, in determining the future trajectory of asset prices.     

城市轨道交通相邻多车站动态协同限流研究

为应对城市轨道交通车站高峰期客流压力,限流已经成为常态应对措施,而经常采用的限流策略大多针对单个车站,缺少对相邻多个车站的协同考虑。基于客流在车站间的传播效应,以乘客总延误时间最小为目标,以站台及列车能力为约束条件,构建城市轨道交通相邻多车站协同限流决策模型,同时为实现实时动态控制,引入滚动时域控制方法,优化多车站动态协同限流流程。以北京地铁8号线为例,经过相邻若干车站运营数据进行限流策略计算。结果表明,该模型限流可以在不造成车站服务人数损失的同时,将乘客总延误时间降低21%。     

研发市场界定的适用困境及应对策略

研发市场是经营者在特定产品和技术竞争中形成的市场范围。由于研发活动的不确定性，反垄断执法机关在界定研发市场时难以准确厘定市场边界，更深层次的原因在于维持竞争与激励研发的关系尚不明晰。研发竞争中的垄断行为难以通过相关市场界定的方式判断其违法性，需要结合具体案情和市场条件，动态分析涉案行为是否损害产品或技术研发竞争。