基于状态空间模型的政产学研资协同创新四螺旋影响因素实证研究

在三螺旋理论框架下，搭建政府、产业、大学、研究机构和资本部门四螺旋模型，运用文献归纳法选取多元主体协同创新6类影响因素，以主体间协同程度测度结果为因变量基础，利用状态空间模型动态分析这些因素影响方向、大小和趋势。实证结果表明，中国经济因素表现为促进作用持续提升；中国技术市场规模和创新产业规模表现为先抑制后促进，且促进作用不断提升；中国产品市场需求和创新投入表现为抑制作用持续提升；中国创新产出在时间上表现为促进作用先提升后下降并最终稳定的状态。最后，提出不同政策建议，以促进中国政产学研资协同创新体系后续发展。     

Pitching research: ‘qualitative cousins’ and the ‘extended family’

This study has two related goals – one very specific and one more general. The specific goal is to constructively engage with Lodhia (2017) on the issue of whether and to what extent ‘qualitative cousins’ are well served by Faff's (2015) original pitching research (PR) template. Using this ‘cousins’ focus as a primer, the more general goal is to update the agenda created by Faff (2015) and in so doing, explore the ‘extended family’ of PR work/resources now available.     

Drivers of research impact: evidence from the top three finance journals

We study the characteristics of all published papers in the top three finance journals (JF, JFE and RFS), and how these paper characteristics affect the number of citations in Google Scholar and the Web of Science database. First, we find the characteristics in the universalist perspective remain constant while the characteristics in the constructivist and presentation perspectives increase over time. Second, some characteristics are significantly different between the high-impact and the low-impact papers. Third, paper quality, research method, journal placement and paper age are the most important drivers. Last, different drivers play different roles in different journals.     

Risks from self-referential peer review echo chambers developing in research fields: 2018 Keynote Address presented at The British Accounting Review 50th Anniversary Celebrations,British Accounting and Finance Association Annual Conference,London

Denigration of academic experts and expertise, amid a resurgence of political populism, poses a challenge to the legitimacy of academic research. Addressing this challenge requires us to continually demonstrate the importance of basing policy interventions on reliable evidence, rather than unevidenced assertions that gain traction through communication echo chambers. However, unconscious confirmation biases in collection and analysis of evidence can impair the reliability of our research insights. A key source of such confirmation biases are unchallenged ideologies and other taken-for-granted assumptions underlying any research (sub)field. This essay argues that informal and formal peer review processes at many stages of research need to highlight and challenge both conscious selectivity bias and unconscious confirmation bias. However, they are unlikely to do so where researchers only take on board feedback from peers in the same (sub)field who share ideological commitments and taken-for-granted assumptions. In such circumstances, self-referential peer review echo chambers can develop that entrench rather than challenge weaknesses in a research (sub)field. This can be a major risk to the effectiveness and reputation of any academic research (sub)field; a risk we need to confront.     

烹饪原料在烹饪加工过程中水溶性维生素的保存方法研究

水溶性维生素是一类重要的食品营养成分,其含量少、稳定性差、在高温下易被破坏。因此,在烹饪过程中,要注重对水溶性维生素的保护。本文从饮食烹饪角度出发,分析日常烹饪方法对食物中水溶性维生素的破坏,并提出科学合理的烹饪方法。     

绿色环保军用食品的研究与进展

军用野战食品是保证战士饮食的重要食物,对提高战士的身体素质、提升军队的战斗力具有至关重要的作用。各国军队首脑对此都十分重视,将此项内容作为军队建设的重要内容。基于此,本文综述了相关学者对军用食品的研究,以期为相关学者提供借鉴。     

Permit markets,carbon prices and the creation of innovation clusters

Innovation clusters combining public and private effort to develop breakthrough technologies promise greater technological advances to slow down climate change. We use a multi-country model with an emission trading system to examine whether and how international climate policy can incentivize countries to create such innovation clusters. We find that a minimal carbon price is needed to attract applied research firms, but countries may nevertheless fail to invest in complementary research infrastructure. We construct a mechanism that leads to innovation clusters when emissions targets are set before uncertainty surrounding technological developments is resolved. It is a combination of low permit endowments for the country with the lowest costs to build the needed infrastructure, compensation for this country by profits from permit trade, and maximal possible permit endowments for the remaining countries. We outline how the EU-ETS can be further refined according to this mechanism.     

Machine Learning and Expert Judgement: Analyzing Emerging Topics in Accounting and Finance Research in the Asia–Pacific

In this paper, we focus on the question to what extent machine learning (ML) tools can be used to support systematic literature reviews. We apply a ML approach for topic detection to analyze emerging topics in the literature—our context is accounting and finance research in the Asia–Pacific region. To evaluate the robustness of the approach, we compare findings from the automated ML approach with the results from a manual analysis of the literature. The automated approach uses a keyword algorithm detection mechanism whereby the manual analysis uses common techniques for qualitative data analysis, that is, triangulation between researchers (expert judgement). From our paper, we conclude that both methods have strengths and weaknesses. The automated analysis works well for large corpora of text and provides a very standardized and non-biased way of analyzing the literature. However, the human researcher is potentially better equipped to evaluate current issues and future trends in the literature. Overall, the best results might be achieved when a variety of tools are used together.     

The impact of research collaboration on academic performance: An empirical analysis for some European countries

The aim of this paper is to investigate the impact of internal and external research collaborations on the scientific performance of academic institutions. The data are derived from the international SCOPUS database. We consider both quantity (the number of publications) and quality indicators (the field-weighted citation impact and the share of publications in the 10% most-cited articles) to evaluate universities' performance in some European countries (Germany, France, Italy, the UK and Russia). To this end, we develop a non-overlapping generations model to evidence the theoretical idea of research externalities between academic institutions. Moreover, we implement an empirical model to determine the extent to which the impact of internal and external collaborations on universities' performance is sensitive to the geographical dimension of the data.     

重大公共危机中科研协同团队识别研究——以诊断试剂为例

遴选合适的科研机构以整合成科研协同力量对于应对重大公共危机，尤其是对于防治和遏制新型冠状病毒肺炎等重大紧急疫情至关重要。首先，构建科研力量协同整合潜在对象识别理论模型，并在此基础上构建识别方法。以突发重大公共危机中的诊断试剂科研攻关为研究对象，以诊断试剂领域科研力量协同整合作为案例进行实证研究。最终识别出7个协同合作群组及29个关键核心机构，而且可将其整合为针对不同科研攻关需求的科研力量。结果还表明，在整合诊断试剂领域科研力量时，高校是与其它机构衔接的主要核心纽带，来自国家层面的科研院所及军队系统机构可以提供有力支持，而高新技术企业也是不可忽视的重要力量。