纳税信用评级结果披露与研发投入

以纳税信用评级披露作为一个天然外生冲击,并基于2013—2016年1214家A股上市公司的微观数据构造准自然实验,使用双重差分法系统评估纳税信用评级结果披露对上市公司研发投入的影响。结果发现:纳税信用评级结果披露显著增加了上市公司的研发投入。基于PSM-DID方法的估计结果与上述结论无明显差异。稳健性检验也表明上述结论的正确性。机制检验表明,纳税信用评级结果披露通过降低企业的融资约束,进而促进企业增加研发投入。此外,分样本回归发现纳税信用评级结果披露只能对中小型企业和民营企业的研发投入产生促进作用。     

产军协同、政府科技支持与技术创新效率研究

运用空间数据分析方法，检验产军协同、政府科技支持与技术创新效率在我国省域间的分布格局。研究表明，三者均存在显著的正向空间相关性，即正向空间溢出效应，并且在不同地区形成局部空间集聚，存在高低非均衡的“俱乐部”现象。基于空间误差模型和空间滞后模型，实证检验产军协同、政府科技支持对技术创新效率的影响。结果发现，从全国和分地区看，产军协同、政府科技支持均能够显著促进技术创新效率提升，并且二者存在显著的交互作用，能够发挥彼此间的互补效应，进一步促进技术创新效率提升；不同地区产军协同、政府科技支持对技术创新效率的影响程度存在较大差异，西部地区产军协同、政府科技支持对技术创新效率的促进作用比东部和中部地区显著。     

选择数量对满意度的影响——一个有调节的中介模型

增加选择数量是否会提高满意度是经济学、心理学和营销学的热点问题。当消费者对某一刺激目标同时存在积极和消极的评价时，即矛盾态度怎样影响选择数量和满意度的关系？2个实验结果表明，选择数量对满意度的影响是通过决策困难水平实现的，当选择数量影响决策困难水平时，会产生选择超载。矛盾态度对决策困难水平与满意度的关系有调节作用，对矛盾态度较高者，选择“多多益善”，选择数量增加使消费者满意度提高；相反，对矛盾态度较低者，选择“适可而止”，选择数量增加使消费者满意度降低。     

Exploring the links among corporate social responsibility,reputation, and performance from a multi-dimensional perspective

This study examines the links among corporate social responsibility (CSR), reputation, and performance in hotel companies from a multidimensional perspective. Data were collected from 322 hotels in China and partial least squares equation modelling (PLS-SEM) was employed for a causal-predictive analysis. Study results reveal that CSR practices influence hotel reputation as seen from both international and local perspectives. CSR and reputation influence performance dimensions (accounting-based performance, market-based performance, and non-financial performance) differently. The research findings offer specific theoretical and practical implications for hotel managers.     

Understanding precedents for frontline employee turnover in luxury hotels: Emotional intelligence as a unifying factor

Current turnover research fails to serve the needs of an industry that is long plagued by employee turnover. Existing literature focuses more on evaluating bundles of human resource practices and fail to provide precise and clear guidance for practitioners. This study proposes that emotional intelligence (EI) unifies sufficient individual factors and organizational factors that affect employee turnover and serves as a single significant precedent for turnover. Data were collected from frontline employees at eight luxury hotels. The direct, indirect, and total impacts of employee EI on employee turnover were tested by structural equation modeling and bootstrap tests. The results suggest that EI has significant indirect impacts through the mediation of perceived organizational support, pay satisfaction and job burnout, and significant total impacts on turnover. Implication suggestions include integrating EI into the recruiting process for new employees and providing training opportunities for current employees to improve their EI.     

Multinational enterprises’ risk mitigation strategies in emerging markets: A political coalition perspective

This paper contributes to the IB literature by investigating MNEs’ risk mitigation strategies in emerging markets. Drawing on institutional perspectives and March’s theoretical concept of forming a ‘political coalition’, we propose that risk mitigation cannot be limited to passive compliance and/or demonstrating good corporate behavior, but should extend to collective efforts by building a political coalition and working with key stakeholders to manage potential risk and obtain favorable outcomes in complex institutional environments. In considering MNEs in contemporary China and India, we offer different types of risk mitigation strategies under various institutional contexts and a framework for future research.     

Understanding the drivers of organic foods purchasing of millennials: Evidence from Brazil and Spain

This paper examines the antecedents of millennials' organic food purchasing. A conceptual framework, based on product characteristics, and consumers' concerns and consciousness, is proposed. Data collection was conducted through a survey in two culturally and socioeconomically distinct countries (Brazil vs. Spain) to increase the robustness and generalizability of the results. The results show that product characteristics and consumer concerns improve millennials’ health consciousness and increase their social consciousness, which, in turn, increase their willingness to pay a price premium and their purchase frequency of organic foods. The findings show that the proposed model has high validity, with only one significant difference between the two countries. Theoretical contributions and managerial implications are discussed.     

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.     

Forecast on silver futures linked with structural breaks and day-of-the-week effect

Silver future is crucial to global financial markets. However, the existing literature rarely considers the impacts of structural breaks and day-of-the-week effect simultaneously on the volatility of silver future price. Based on heterogeneous autoregressive (HAR) theory, we establish six new type heterogeneous autoregressive (HAR) models by incorporating structural breaks and day-of-the-week effect to forecast the volatility. The empirical results indicate that new models’ accuracy is better than the original HAR model. We find that structural breaks and the day-of-the-week effect contain much forecasting information on silver forecasting. In addition, structural breaks have a positive effect on the silver futures’ volatility. Day-of-the-week effect has a significantly negative influence on silver futures’ price volatility, especially in the mid-term and the long-term. Our works is the first to combine the structural breaks and day-of-the-week effect to identify more market information. This paper provides a better forecasting method to predict silver future volatility.     

Exploring the mismatch between credit ratings and loss-given-default: A credit risk approach

It is commonly observed that high grade loans with better ratings are often associated with low recoveries if they default (i.e. with relatively high loss-given-default (LGD)). To address the mismatch problem, this paper proposes a credit risk approach by minimizing LGD for higher rated loans as a risk-rating matching standard in the sense that the decreasing LGD from creditors’ perspective is associated with higher credit rating for the borrower. This standard forces customers’ credit rating of each grade to be optimally determined in correspondence to its LGD, which means the LGD of high grade loans tends to be low. The approach is then tested using three credit datasets from China, i.e. credit data from 2044 farmers, 2157 small private businesses and 3111 SMEs. The empirical results show that the proposed approach indeed guides the way to solve the mismatch phenomenon between credit ratings and LGDs in the existing credit rating literature. By optimally determining credit ratings, the findings derived from this paper help provide a valuable reference for bankers, and bond investors to manage their credit risk.