The impact of dual network structure on firm performance: the moderating effect of innovation strategy

ABSTRACT

Firm innovation is embedded in a collaboration network among researchers and a knowledge network composed of knowledge elements; the two networks are decoupled. Guided by social network theory, this study puts forward the definition and the classification of firm dual network structure, probes into the influence of dual network structure on firm performance, and explores the alignment between innovation strategy and firm dual network structure. We conduct an empirical study of 183 listed companies in China from 2004 to 2018. It is found that the four types of dual network structure all have positive impacts on firm performance, and the impact of a collaboration network is slightly higher than that of a knowledge network. Besides, innovation strategy plays a positive moderating role in the relationship between dual network structure and firm performance. Our findings provide new ideas for firms to identify and optimise knowledge and collaboration network structures and match them with innovation strategy to improve performance.     

Household responsibility system and China's agricultural Growth revisited: Addressing endogenous institutional change

The rise of the Household Responsibility System has been widely viewed as a significant contribution to China's agricultural growth. However, this empirical conclusion is rested upon a convenient but doubtful presumption that the process of institutional change, also known as decollectivization, is exogenous. We contribute to this literature by explicitly recognizing the endogeneity of institutional changes, and exploit exogenous variations in lagged weather shocks and initial fixed assets for consistent estimation. With improved data on irrigation, mechanization, weather and institutional changes in a provincial panel data during 1970–1987, the results of panel instrumental estimations reveal that the Household Responsibility System had a significantly positive effect on China's agricultural growth, which was larger than indicated by OLS estimates that suffer from adverse selection and attenuation biases.     

Optimizing a portfolio of mean-reverting assets with transaction costs via a feedforward neural network

Optimizing a portfolio of mean-reverting assets under transaction costs and a finite horizon is severely constrained by the curse of high dimensionality. To overcome the exponential barrier, we develop an efficient, scalable algorithm by employing a feedforward neural network. A novel concept is to apply HJB equations as an advanced start for the neural network. Empirical tests with several practical examples, including a portfolio of 48 correlated pair trades over 50 time steps, show the advantages of the approach in a high-dimensional setting. We conjecture that other financial optimization problems are amenable to similar approaches.     

四川省水稻产投特征变迁及技术进步对单产的影响

[目的]了解四川水稻产投特征和技术进步对单产的影响,促进水稻可持续生产。[方法]分析了改革开放以来四川省水稻产投特征和技术特征变动,并基于索洛余值法测算了1980~2015年四川省科技进步对水稻单产的贡献情况。[结果](1)全省水稻单产水平及物质与服务费用投入均呈现波动增长趋势,人工投入逐年递减,但人工成本在生产成本中的比重较大;(2)四川省水稻品种选育、栽培管理技术、推广技术、稻作经营方式和农业政策不断变迁,更适应当前以普通家庭生产和新型经营主体共同发展的局面对技术的需求;(3)整体来看,近36年技术进步对四川省水稻单产水平提高的贡献率较低,生产经营较为粗放;(4)分时期看,2005年前,技术进步对全省水稻单产水平提高的贡献率较高,但之后尤其是近5年,技术进步并未对水稻单产水平提高产生影响,要素投入是水稻单产水平提升的主要因素。[结论]提出了加强科技研发及投入水平、"一主多元"联合推广、生产管理技术培训和丘区节本增效生产的政策建议。     

Dress for success: the effect of exhibitors’ dress conformity and self-construal on attendees’ approach behavior

ABSTRACT

The purpose of the current study is to investigate how attendees’ approach behavior is influenced by exhibitors’ dress conformity. A 2 × 2 between-subjects quasi-experimental design was utilized for this study. Our results showed that conforming dress for exhibitors can lead to a higher level of approach behavior of trade show attendees as compared with nonconforming dress, and the effect of exhibitors’ dress styles on approach behavior is moderated by attendees’ self-construal. Findings of this study provide significant insights for trade show exhibitors and attendees.     

江苏省科技金融发展现状与对策分析

科技金融是一个互动的概念,科技金融的发展是以保持经济高速持续增长为目的。在当前以建设创新型国家为总体战略的目标之下,科技与金融的有机结合还存在着一些问题。在研究和调查了近年来江苏省科技金融的发展现状之后,提出存在的问题及解决途径。     

军民融合时代特征、制约问题与治理路径

我国军民融合已进入由初步融合向深度融合过渡的攻坚期，掌握军民融合宏观发展脉络、研究趋势，客观研判军民融合时代特征十分必要。基于数据可视化，以中国知网数据库（CNKI）中军民融合的CSSCI、CSCD文献为研究对象，梳理归纳军民融合研究热点并进行聚类分析，探讨当前军民融合制约问题，分析军民融合中“统”、“融”、“新”、“深”4个治理要求与内涵定位，进而提出新时代军民融合治理路径，为深入研究新时代军民深度融合高质量创新发展提供借鉴。     

美国城市公园评价体系的内容、应用 及启示——以ParkScore指数为例

中国快速城镇化的过程伴随着各类城市绿地公园的 规划建设。对城市公园系统综合质量的科学评价关系着城市开 放空间品质的提升、居民生活质量的提高和公共服务设施规划 水平的进步。以ParkScore指数为例，对美国城市公园综合 评价系统的建设过程、评价标准和指标体系进行系统介绍和特 征评述，总结分析其在城市规划实践和研究中的应用，提出我 国应完善城市空间数据库建设、引入以人为本的评价指标和加 强指标体系建立过程的有效性等建议措施，旨在为我国城市公 园综合评价系统建设提供借鉴。     

“一带一路”背景下金融创新研究现状简评

“一带一路”倡议的顺利实施离不开金融支持。梳理“一带一路”倡议下金融创新研究现状,从金融机构创新、金融产品创新、金融规章制度创新、金融科技创新、绿色金融创新和金融人才培养创新等6个方面分析“一带一路”倡议下金融创新研究现状发现,我国学者的金融创新研究及其成果还不能完全适应“一带一路”经济发展的需要。学术界应把握金融研究重点,推动金融创新,促进“一带一路”倡议顺利实施,实现社会经济可持续发展。