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.     

Endogenous network efficiency,macroeconomy, and competition: Evidence from the Portuguese banking industry

Although performance analysis has become a vital part of the banking industry, research on the efficiency of Portuguese banking remains scarce and focused on discussing rankings to the detriment of unveiling its productive structure relative to its competition. This issue is of utmost importance considering the relevant transformations in the Portuguese economy over the last ten years. In this study, we developed a network productive structure comprising two paradigms (the production and intermediation approaches, respectively) to assess how market competition and other macro-economic variables impact bank efficiency and their feedback effects in Portugal. Unlike previous research, an integrated multi-layer perceptron (MLP)/hidden Markov model (HMM) was used for the first time to unveil endogeneity among banking competition, macro-economic variables, and the efficiency levels of the production and intermediation approaches in banking. The findings illustrate the pattern of interaction among these variables and verify that the production efficiency is the cornerstone of endogeneity in Portuguese banks. Policy makers will find the results helpful.     

Seasonality and regional productivity in the Spanish accommodation sector

This study quantifies the impact of peak demand and seasonality on regional productivity in the Spanish accommodation sector. We then identify factors affecting seasonal fluctuations and their relative contributions to regional variations in seasonality. The results show that demand for accommodation in the peak season mainly determines productivity. Thus, improving a region's attractiveness as a tourist destination is most effective for tourism-based regional development. In addition, reducing seasonal variations has a non-negligible impact on productivity. A decomposition analysis reveals that providing climate-independent tourist attractions and attracting business travelers are effective in reducing seasonality.     

Organizational Design,Competition, and Financial Exchanges

We investigate the incentives for vertical and horizontal integration in the financial securities service industry. In a model with two exchanges and two central securities depositories (CSDs), we find that decentralized decisions might lead to privately and socially inferior industry equilibria with vertical integration of both CSDs with their respective exchanges. Allowing for horizontal integration of CSDs avoids privately inferior industry equilibria. However, we observe too little horizontal integration from the social perspective. We link our results to recent regulatory and institutional developments such as the emergence of multilateral trading facilities, over-the-counter regulation, and financial harmonization.     

Does economic policy uncertainty raise corporate precautionary cash holdings? Evidence from China

Using China as the research setting, this paper investigates the relationship between economic policy uncertainty and corporate precautionary cash holdings. Empirical results show a U-shaped relation between economic policy uncertainty and corporate precautionary cash holdings. Empirical analysis, in terms of ownership structure, firm size, corporate competitiveness and geographical location, further shows that (i) the effects for economic policy uncertainty in both state-owned and non-state-owned enterprises are significant, but the effect is stronger for state-owned enterprises; (ii) such significant effect is also found more strongly in small and medium-sized enterprises and highly competitive enterprises; and (iii) the effects for eastern, central and western China are all statistically significant, but the effect is strongest for eastern China.     

Competition and stability in the credit industry: Banking vs. factoring industries

Over the last decade, most credit-industries registered a decline in lending volumes, while factoring industries instead registered a substantial growth in terms of turnover. Surprisingly, only a handful of papers so far investigate factoring companies. Do factoring firms display the same stability levels of banks? Is the competition similar in factoring and banking industries? Is the relationship between competition and stability the same in these industries? Focusing on Italy (one of the largest factoring and banking markets in Europe) and using a unique dataset, we show three main results: factoring companies are (on average) more stable than banks; 2) the stability of factoring companies increase when competition declines (competition-fragility view); 3) the competition-fragility view is weaker in the factoring industry than in the banking industry. Our findings indicate that competition in the Italian credit industry was greater in factoring than in banking.     

我国省级区域金融发展对经常项目的影响研究——基于货物贸易视角的分析

本文选取我国大陆31个省(市、自治区)2007年-2018年的面板数据,综合运用系统GMM和差分GMM估计方法,实证检验了沿海与内陆、沿边与非沿边、享受优惠政策高与低、金融控制强与弱等4类不同省区金融发展对经常项目余额的影响。研究结果表明:使用全部样本估计时,金融发展显著负向影响经常项目余额,这一结论经稳健性检验后依然成立。使用不同区域的子样本估计时,金融发展对沿海省区、非沿边省区、享受优惠政策高以及金融控制弱省区的经常项目余额的抑制作用较大,而在其他省区作用较小。因此,各地区应充分利用金融手段来调整进出口余额,以保证经常项目的持续平衡。     

新时代中国区域高质量发展的动力转变方向及形成路径研究

高质量发展已经成为中国经济发展的根本导向。作为经济体系的重要组成部分之一,区域经济的高质量发展要求增强发展动力的均衡性、精准性、融合性、复制性和专业性。其中,由外需动力为主转向内外需动力并重、由所有区域的齐头并进到不同区域的各展所长、由地方竞争的发展速度到区域协调的规模经济、由个体区域的率先发展到个体区域的综合示范、由综合性区域战略到专业性区域政策是动力转型的主要方向,培育具有世界级竞争力的产业集群、细化主体功能区规划、构建共享型的区域利益关系、构建可复制的区域发展路径、完善区域管理制度是实现上述转型的支撑路径。     

科技企业孵化器何以激活区域创新——风险投资与孵化基金的中介作用

完善创新生态系统、提升区域创新能力是我国科技企业孵化器建设的重要目标。基于2013-2018年中国（内地）30个省份面板数据，采用面板数据模型实证检验科技企业孵化器是否促进了区域创新能力提升，并基于中介效应模型探讨风险投资和孵化基金在其中的间接作用。结果发现：①科技企业孵化器建设显著提升了区域创新水平，但主要增加的是实用新型和外观设计专利申请授权数总量，对发明专利申请授权数并没有显著促进作用。上述结果在剔除直辖市样本、采用随机效应模型及空间计量模型的稳健性检验后依然成立；②通过中介效应模型检验发现，区域风险投资和孵化基金集聚效应是科技企业孵化器影响区域创新水平的主要机制；③科技企业孵化器对区域创新的影响在不同区域间差异较大，在东部地区的创新激励效应更加显著，而且政策工具强度对科技企业孵化器与区域创新水平的关系具有正向调节作用。     

经济政策不确定性、区域经济复杂度与企业创新行为

构建包含宏观经济政策不确定性指标、区域经济复杂度和上市公司特征变量“宏观-区域-企业”的实证面板数据，在理论分析经济政策不确定性对企业创新行为作用机理的基础上，以区域经济复杂度为视角，对经济政策不确定性与企业创新行为作用机制进行再检验。研究发现：经济政策不确定性对企业创新存在正向激励综合效应，同时，区域经济复杂度不仅能够促进企业创新行为，而且能够强化经济政策不确定性对企业创新行为的影响即抑制负向作用而强化正向作用。考虑内生性，通过替换核心变量检验稳健性以保证研究结论可靠，并且，研究企业特征发现，高科技企业和非高科技企业存在差异。