A supply-demand model of public sector size

We develop a supply-demand model for the public sector with a political equilibrium. The model considers the inefficiencies caused by taxes and includes costs associated with the provision of public goods to consumers. We show that the size of the public sector may depend on the median voter's income, population size, costs associated with paying tax, and quality of institutions, all of which reflect the costs of provisioning public goods. The estimates for the Organisation for Economic Co-operation and Development member countries are compatible with theoretical predictions; however, they do not confirm Wagner's law, which holds that the public sector share does not grow with an increase in income. A greater dependency ratio and the Gini coefficient increase demand for redistribution policies. Greater government effectiveness is a supply-side factor that increases the public sector's share in an economy.     

动态能力、企业规模与双元创新关系研究——基于fsQCA方法的实证分析

对186家企业问卷数据进行模糊集定性比较分析（fsQCA），探寻3种类型动态能力和企业规模等因素对双元创新的组合效应以及不同因素之间的互动关系。研究发现，分别存在两种等效路径支撑中国企业实现探索式创新和利用式创新；吸收能力作为核心条件存在，联合不同水平的机会识别、资源拼凑和企业规模，大大提高企业实现双元创新的可能性；此外，资源拼凑兼具探索性和利用性双重特征，联合机会识别促进双元创新，其中，资源丰裕的大规模企业更具优势。采用QCA构型研究方法，推动了企业创新行为选择的因果逻辑性研究，从单维视角向多维交互的整体视角转变，明确了各种类型动态能力与双元创新之间的关系以及不同能力间的依赖/替代关系。     

Relationship between city size and firm productivity – A new interpretation using the Chinese experience

This paper contributes to the literature on the relationship between city size and firm productivity by focusing on agglomeration, selection (market competition), and sorting (presence of firms with diverse productivity) effects using Chinese firm-level data for 1998–2013. Contrary to the existing literature, our parametric regression estimates from nearly two million firms show that when the selection effect is controlled, productivity advantage in big cities is reversed. This outcome is explained through a quantile regression showing the existence of left-sided sorting (inefficient firms sort themselves to larger cities) in big cities which is not captured in existing empirical literature. We further find that (1) left-sided sorting is stronger in exporters than non-exporters; (2) is also generated mainly in enterprises with high asset-liability ratios; and (3) selection has a positive effect on firm productivity, suggesting that market competition is key in an explanation of the rapid growth of big cities in China.     

Financial statement comparability and bank risk-taking

This study examines the relationship between financial statement comparability and bank risk-taking. Our analysis of a sample of publicly listed U.S. banks over the 1994–2019 period shows that banks with more comparable financial statements are related to significantly less risk-taking. We also find that the negative relationship between comparability and risk-taking is more pronounced for firms with more severe moral hazard and agency problems. Our documented findings are robust across alternative measures of comparability and risk-taking and considering change analysis, after controlling for strength of corporate governance and using propensity score matching and two-stage least squares estimation to address endogeneity concerns. Our analysis also shows that the relationship between financial statement comparability and bank risk-taking is stronger for smaller banks than for larger banks. Overall, this study provides unique insights into the role of financial statement comparability in curbing risk-taking in the banking sector.     

Stock price synchronicity to oil shocks across quantiles: Evidence from Chinese oil firms

This paper investigates behaviour of stock price synchronicity to oil shocks across quantiles for Chinese oil firms. The spillover effects of the oil market on a firm are segregated into firm-specific and market-wide information. First, our results report a higher level of synchronicity by dynamic conditional correlations than by R-square since the former better captures dynamic linear dependence. Second, we find strong evidence of size effect. In particular, stock price synchronicity is generally higher in large-cap firms than in small-cap ones. Oil shocks affect synchronicity in the upper quantiles differently based on firm size. Third, we also find that synchronicity responds to oil shocks significantly in extreme low quantiles, implying that shocks in the oil market are transmitted to Chinese oil firms via firm-specific information. Finally, we determine that oil shocks have little or no immediate impact on stock price synchronicity; instead, cumulative lagged effect is evident. This evidence highlights the lagging effect of spillover of oil shocks on Chinese oil firms.     

Resurrecting the size effect: Evidence from a panel nonlinear cointegration model for the G7 stock markets

Firm size is known to be an important factor affecting stock returns. This study proposes a panel threshold cointegration model to investigate the impact of the size effect on stock returns for the panel of G7 countries: Canada, France, Germany, Italy, Japan, the U.K., and the U.S. over the period 1991:1–2012:12. The empirical analysis is based upon the nonlinear cointegration framework using the asymmetric ARDL cointegration methodology (Shin et al., 2011). This methodological approach permits a much richer degree of flexibility in the dynamic adjustment process toward equilibrium, than in the classical linear model. Our findings indicate the presence of asymmetric adjustment around a unique long-run equilibrium. In particular, the empirical analysis provides evidence of asymmetric effects between stock returns and the size effect, while controlling for the book-to-market ratio and the price-to-earnings ratio.     

Surplus distribution and characteristics of social enterprises: Evidence from microfinance

The issue of surplus distribution has hardly been analyzed in the context of the social economy. This paper highlights the main drivers of distribution between various stakeholders of microfinance institutions (MFIs), which are an example of social enterprises. We focus on three major variables: size, governance structure and subsidies. Our results show that the size of the institution is the main indicator of the surplus that the organization keeps as a self-financial margin. Moreover, MFIs with a cooperative ownership structure allocate a larger part of their surplus to their employees, whereas non-profit organizations and shareholder-firm MFIs do not allocate their surplus in a significantly different way among their main stakeholders. Finally, we do not find any clear-cut effect of subsidies on the surplus allocation process.     

Trade-size clustering and price efficiency

Using a sample of 26 markets, this paper investigates if trade-size clustering affects price efficiency. Our results suggest that more clustering trades are associated with greater resemblance of a random walk, less pricing errors, and shorter price delays. Moreover, we examine three underlying mechanisms to explain how clustering improves efficiency. First, we show that clustering trades are informative, consistent with the idea that stealth traders leverage such tactics to convey private information to prices. Second, we discover that clustering trades are positively related to investor attention (stock liquidity), implying that informed clustering trades happen at the presence of enormous uninformed investors. High attention and liquid markets help reduce the trading friction, thereby prompting quick price adjustments to private information released by the stealth trading.     

小企业需要怎样的金融服务——以义乌箱包行业为例

小企业金融服务是长期探讨和研究的话题,但很少有人会从小企业具体运行的业务模式和资金流向去分析探究其资金需求的特点,本文以具有准入门槛低、劳动就业容量大、生产涉及面广等特征的义鸟的箱包行业入手去分析小企业的金融服务需求,先分析了箱包行业的业务模式、再分析箱包行业的资金特征和对应的资金需求,再是银行可根据这些资金需求开展哪些业务创新,最后得出银行做好小企业金融服务的关键点是:寻求可靠的风险控制点,把可能产生的各类风险通过合理、规范的设计进行转移消除这个结论.     

On the differences in measuring SMB and HML in the UK – Do they matter?

The Fama–French (FF) three factor model expands the capital asset pricing model (CAPM) to include two additional factors to the market factor – SMB, employed to capture a firm size effect in returns and HML employed to capture book-to-market effects in returns. In the UK, different researchers use different ways of calculating SMB and HML in the context of empirical applications of the three factor model, or extensions of it, perhaps because they believe the differences in the construction of the SMB and HML factors to be relatively unimportant from an empirical standpoint. We investigate whether indeed factor construction methods are unimportant. Our conclusion is that they do matter.