Issues in the analysis of co-authorship networks

Scientific collaboration is a complex phenomenon that improves the sharing of competences and the production of new scientific knowledge. Social Network Analysis is often used to describe the scientific collaboration patterns defined by co-authorship relationships. Different phases of the analysis of collaboration are related to: data collection, network boundary setting, relational data matrix definition, data analysis and interpretation of results. The aim of this paper is to point out some issues that arise in these different phases, highlighting: (i) the use of local archives versus international bibliographic databases; (ii) the use of different approaches for setting boundaries in a whole-network; (iii) the definition of a co-authorship data matrix (binary and weighted ties) and (iv) the analysis and the interpretation of network measures for co-authorship data. We discuss the different choices that can be made in these phases within an illustrative example on real data which is referred to scientific collaboration among researchers affiliated to an academic institution. In particular, we compare global and actor-level network measures computed from binary and weighted co-authorship networks in different disciplines.     

The impact of government funding on research innovation: An empirical analysis of Chinese universities

The university is one of the most important places for scientific research, and it is the cradle of knowledge output and technological invention. Using the granular data of more than 1,000 universities' funding from the government in China, we investigate the impact of government funding on research innovation at the university level. The results show that government funds promote the output of research innovation of universities. The effectiveness of government funding is greater when combined with greater human capital and more platforms for international cooperation. Interestingly, further studies have found that human capital and non-government funds have a moderating influence on the effect of government funds on university research output. Moreover, there are some differences between “211 Project” (high quality) universities and “non-211 Project” universities. Finally, given the relaxation of policy for government funding of university research in 2014, we investigate the relationship between human capital (especially specialists with senior titles) and government funds in the process of research innovation. The results show that, before 2014, human capital presents a substitution relationship with government funding while it presents a complementary relationship after 2014.     

Comovements and heterogeneity in the euro area analyzed in a non‐stationary dynamic factor model

This paper establishes stylized facts on comovements and heterogeneity of individual euro area countries' output and price developments in the past two decades. For this purpose, a non‐stationary structural dynamic factor model is fitted to a large dataset of euro area macroeconomic variables. The main results are as follows. Both common factors and idiosyncratic components are important in explaining individual countries' output and price developments in the euro area and are also both very persistent. Idiosyncratic shocks and adjustments to these shocks are mainly responsible for cross‐country heterogeneity. The asymmetric transmission of common shocks plays a minor role. Finally, there is no strong evidence that some common shocks lead to greater heterogeneity than others. Copyright © 2009 John Wiley & Sons, Ltd.     

Stochastic trends,deterministic trends,and business cycle turning points

This study examines the relationship between specifications for long-run output patterns and specifications for business cycle dynamics. In an application to US GDP, it is found that inferences about the nature of the trend in output are not robust to changes in the specification for short-run fluctuations. Similarly, the choice of which model best describes the transitory movements in output depends on the way in which the trend is specified. The empirical analysis makes use of Bayesian methods to compare time series models for US GDP. Inspection of the predictive densities for the individual data points suggests that the information contained in the data is largely limited to the observations associated with business cycle turning points. © 1997 John Wiley & Sons, Ltd.     

Foreign banks and short-term macroeconomic fluctuations: Do financial development and regions matter?

In this paper, we investigate the association between bank integration, measured with the share of foreign banks in the banking industry, and macroeconomic volatility in emerging economies. We find a negative and significant relationship between bank integration and short-run fluctuations in output, consumption and investment, controlling for financial development, bank concentration and the real effective exchange rate. However, this relationship is found to be positive at high levels of financial development. We also explore the association at the regional level and show that the presence of foreign banks in Latin America is negatively and significantly correlated with macroeconomic volatility both in normal times and times of crisis. Despite widespread concerns in emerging Europe, which experienced greater financial vulnerability during the global financial crisis, we find no significant association between growth volatilities and bank integration.     

New evidence on innovation and market structure

Arrow and Demsetz have disagreed on theoretical grounds as to whether the incentive to invent is likely to be greater in a competitive industry or a monopoly one. Past empirical studies of the relationship between the rate of innovation and market structure have suggested that innovation occurs at a faster rate within a competitive market structure. This paper employs more detailed data and a larger sample of markets than have most previous studies of this relationship. Using a sales-weighted measure of innovation, the paper finds a positive and statistically significant relationship between the overall rate of innovation In individual markets and the level of seller concentration. This implies that public policy which reduces concentration may, through its impact on incentives, have the side effect of reducing the rate of innovation in the markets involved.     

CEO自恋对创新绩效的影响研究 ——基于企业异质性的调节作用

从CEO心理特征视角出发,探究了CEO自恋与企业创新绩效之间的关系。以2011—2016年A股135家上市公司的纵向数据为样本,通过广义估计方程模型进行实证检验。研究发现:CEO自恋对企业创新绩效具有显著促进作用。进一步研究发现,CEO自恋对企业创新绩效的影响受到企业异质性的调节作用:相比小规模企业,大规模企业中CEO自恋对创新绩效的促进作用更显著;相比低财务杠杆企业,高财务杠杆企业中CEO自恋对创新绩效的促进作用更显著;相比非国有企业,国有企业中CEO自恋对创新绩效的促进作用更显著。     

Black’s hypothesis and developed economies

This paper examines the relationship between the volatility of output growth and the average growth rate of output in developed economies using the Generalized Auto-Regressive Conditional Hetereoskedasticity-in-mean (GARCHM) framework. The results indicate that that volatility is correlated with output growth for half of the countries and that the correlation is negative for some countries and positive for others. This finding is consistent with models that suggest country characteristics are important for determining the growth-volatility ralationship. However, the estimated correlation between volatility and the average growth rate is sensitive to the specification of the conditional variance equation. I would like to thank Donn Johnson for his helpful comments on an earlier version of this paper.     

Output variability and economic growth: The case of Australia

This paper looks at the relationship between output variability and economic growth in Australia using the ARCH-M model. Quarterly data for growth rates of industrial production and of GDP are used for the analyses. However, the growth of GDP does not show any ARCH effects. The variability is found to be significantly negatively related to the growth rate of industrial production. Unlike Caporale and McKiernan (1998), our empirical results do not support Black's (1987) hypothesis, which is that there is a positive relationship between output variability and economic growth. Our results support the Keynesian position. The authors thank the anonymous referee for helpful comments on an earlier draft of the paper.     

基于波动率的货币与产出关系检验——来自分位数回归模型的新证据

本文使用1991年1月到2012年3月的样本数据对货币波动率和实际产出波动率之间的关系进行了检验。首先,应用GARCH模型度量货币波动率和产出波动率,进而对二者进行了Granger因果关系检验,发现我国货币供给增长率及其波动率对实际产出增长率及其波动率具有解释和预测能力。其次,使用分位数回归模型研究产出波动率在较小(低分位数)和较大(高分位数)时对货币供给量M0和M1波动率的不同反应程度。最后,提出了稳定产出增长,防止产出剧烈波动的货币政策建议。     

Demographic Dissimilarity and Workplace Inclusion

This study examined the relationship between individual demographic dissimilarity from co-workers and three indicators of inclusion by an organization: decision-making influence, access to sensitive information, and job security. Data from 345 individuals in eight work units showed that individual dissimilarity in race and gender were negatively associated with inclusion, and the effect of race dissimilarity was more pronounced for whites than for non-whites. In contrast, individual dissimilarity in tenure and education level were positively associated with inclusion, and these effects were more pronounced for those with greater tenure and greater education, respectively. Overall, the results suggest that whether being different hinders or helps organizational inclusion may depend on whether that difference is visible and whether it reflects job expertise. Further, they suggest that, when being different is a hindrance, it may be hardest on those who have traditionally been the majority in organizations.     

Liquidity provisions by individual investor trading prior to dividend announcements: Evidence from Taiwan

This paper investigates the role of liquidity provisions played by individual investors prior to dividend announcements in Taiwan. We first document a positive relationship between aggregate individual trading before dividend announcements and abnormal stock returns in the one month after the events. We find that this positive relationship varies with liquidity. We then decompose the abnormal returns following the event into information and liquidity provision components. The information component is not significant at all, but the liquidity component is positively significant, which shows that it is individual investors’ provisions of liquidity to institutional investors prior to dividend announcements that drives the positive relationship between pre-event individual trading and post-event returns.     

Cooperation for Publication? An Analysis of Co-authorship Patterns in Leading Accounting Journals

This paper examines patterns, antecedents, and effects of (international) cooperation in accounting academia based on 7105 papers published in 15 leading accounting journals. In particular, we investigate the dissemination of different forms of cooperation, identify author characteristics that are related to the propensity of cooperation and analyze whether cooperation is associated with research performance (in terms of research impact and output). We find that scholars from Asian countries tend to be more heavily involved in international cooperation than researchers from most European countries and the USA. A Ph.D. from a leading school, a scholar's previous publication experience and a past appointment as editor or editorial board member are positively associated with the propensity for cooperation, while a researcher's current affiliation has only limited impact. Surprisingly, our findings show that cooperation is not related to a greater research impact as measured by citation numbers per paper. Finally, we find a significant negative relationship between a scholar's share of co-authored papers and his or her research output in leading accounting journals as measured by the weighted numbers of papers per author.     

Does Co‐authorship Lead to Higher Academic Productivity?

In recent decades, co‐authorship and policies aimed at inducing academic collaboration have increased simultaneously. Assuming that intellectual collaboration is exogenously determined, prior studies found a negative relationship between co‐authorship and productivity. I examine a panel data on economists publishing from 1970 to 2011 to test the causal effect of intellectual collaboration on intellectual output. As characteristics of the individual and her opportunity set are endogenously related to both collaboration and productivity, I instrument the amount of co‐authorship by the common research interest between an author and her potential co‐authors. After controlling for endogenous co‐authorship formation, unobservable heterogeneity and time varying factors, the effect of intellectual collaboration on individual performance becomes positive.     

Cost-based decision rules for output,quality, and price

The present paper develops a theoretical model to address the relationship between a firm's pricing policy and its cost of increasing product quality. The model expresses both firm costs and firm revenues as functions of the quantity of a firm's output and overall product quality, where quality is expressed as quantity times quality per unit. The model starts with a generic good that measures output, and models quality as priced quality enhancement for each unit of the generic good. The model leads to decision rules by which the price of quality is a mark-up over the marginal cost of increasing product quality. The relationship between the price of quality and revenues from increasing output is also determined, and is conditioned by the sign and magnitude of the elasticity of demand for quality.     

Networks,homogeneity and gender in Icelandic business elites

This paper examines business elites in the context of social networks, identity and residential homogeneity. Our focus is gender diversity in business elites and how social activities conducive to networking interact with residential homogeneity. We find that the greater the involvement of top managers in local social activities, the greater the residential homogeneity. This relationship is stronger for women than for men, even though the individual measures are similar for both genders. We suggest that local social activities may foster a shared identity that is especially important for women, as they lack a shared gender identity with men in the group. The paper adds to both theoretical and practical knowledge on the lack diversity in business elites.     

Individual and contextual predictors of team member proactivity: what do we know and where do we go from here?

Contemporary organizations are placing greater emphasis on team work in order to meet the challenges of an increasingly turbulent business environment. In this context, the relationship between team member proactivity and overall team performance has been the focus of growing interest among management scholars and practitioners alike. Whereas extant scholarship acknowledges that team member proactivity is different from other forms of proactivity (i.e., individual and organization member proactivity), there is still only limited understanding of the factors that predict team member proactivity. Therefore, this paper extends current scholarship by identifying the individual and contextual predictors of team member proactivity and explaining how, taken together, they jointly influence team member proactivity. Building on these findings, the paper also identifies gaps in the current literature and proposes a model of team member proactivity to be tested in future research.     

对中国通货膨胀的实证研究——从一般到特殊的建模方法

本文采用从一般到特殊的建模方法,利用PcGets软件,实证考察了1994~2009年中国通货膨胀与货币供应、产出缺口、汇率和国际原油价格之间的联系。研究表明,通货膨胀和货币供应之间存在长期稳定的正相关关系,但通货膨胀并不完全是货币现象。除货币供应外,还有其他更多重要变量共同决定通货膨胀的变化。产出缺口与通货膨胀之间存在显著关系,因而不能忽视汇率因素对通货膨胀的影响等。     

The influence of supply network structure on firm innovation

In this study, we examine the structural characteristics of supply networks and investigate the relationship between a firm's supply network accessibility and interconnectedness and its innovation output. We also examine potential moderating effects of absorptive capacity and supply network partner innovativeness on innovation output. We hypothesize that firms will experience greater innovation output from (1) higher levels of supply network accessibility and supply network interconnectedness, (2) the interaction between the levels of these two structural characteristics, (3) the moderating role of absorptive capacity on supply network accessibility and the moderating role of supply network partner innovativeness on supply network interconnectedness. Supply network partner relationships are drawn in the context of the electronics industry using data from multiple sources. We use social network analysis to create measures for each supply network structural characteristic. Using regression techniques to test the relationship between these structural characteristics and firm innovation for a sample of 390 firms, our findings suggest that supply network accessibility has a significant association with a firm's innovation output. The results also indicate that interconnected supply networks strengthen the association between supply network accessibility and innovation output. Moreover, the influence of the two structural characteristics on innovation output can be enhanced by a firm's absorptive capacity and level of supply network partner innovativeness. By addressing the need for deeper structural analysis, this study contributes to supply chain research by accounting for the embedded nature of ties in supply networks, and showing how these structural characteristics influence the knowledge and information flows residing within a firm's supply network.     

基于Pajek的高校科研团队合著网络的知识共享研究——以某高校经管院为例

本文运用大型可视化网络分析软件Pajek软件,综合运用Ucinet 6分析了教师和研究生组成的科研团队的文章合著网络,从而了解教师的学术合作及其发展趋势情况。