The influence of the regional context on firms’ innovation patterns: evidence from Ecuador*

ABSTRACT

Using data from the Ecuadorean Innovation Survey of 2015, this paper identifies the innovation patterns that can be found in Ecuador. In addition, we analyse the influence of the regional innovation systems in determining these patterns. The results show that there are six differentiated patterns of innovation, although they all are related to the adoption and imitation of technologies. Finally, we observe that different regional characteristics condition the way in which firms organise innovation.     

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.     

Collaboration and innovation: An empirical study of Indian technological enterprises

In 2010, the Indian government declared 2010–2020 to be the ‘Decade of Innovation’ and established the State Innovation Councils and Sectoral Innovation Councils to encourage and facilitate innovation by technological firms. In this paper, we study the relationship between collaboration and innovation in a cross‐section of Indian firms, paying particular attention to the impact of the innovation councils. Our results suggest that domestic collaborations have an important impact on firm innovation, as do the innovation councils, but that the impact of the councils is less for firms that collaborate.     

高校知识溢出与企业创新绩效

本文利用全样本数据探讨了作为创新和知识溢出微观主体的高校对企业创新绩效的影响。本文通过ArcGIS测算了2007-2015年上市公司所在地周边全部高校数量，并以企业研发投入金额、发明专利衡量企业创新水平，利用Anselin et al（2000）的KPF方程，采用双聚类OLS检验高校知识溢出对企业创新行为的影响效应与机制。研究发现：第一，高校知识溢出对企业研发创新投入和有效创新产出均具有显著促进作用；第二，知识溢出效应具有显著的地理邻近性特征，而行政边界关联影响较弱；第三，高校知识溢出通过提高企业研发投入，提升员工和管理层人力资本，进而影响企业创新绩效。进一步研究表明，空间异质性、高校异质性、企业异质性、中心城市集聚效应、高铁开通等因素导致高校知识溢出效应存在差异。     

中国邮储银行大连分行网点转型下客户服务模式创新研究

随着社会大众对金融服务的要求不断增多,银行网点转型已经成为一个必然趋势。信息时代背景下,银行网点的转型大多向智能化的方向转变,而随着网点转型,其客户服务模式也在不断创新。论文以邮储银行大连分行为例,对银行网点智能化转型的影响进行了分析,探究了邮储银行大连分行网点智能化转型存在的问题,并且提出了相关的转型建议,最后对邮储银行大连分行智能化网点转型下客户服务模式的创新情况进行了研究,希望能够在银行网点智能化转型的背景下,促进其客户服务水平的不断提升。     

中国区域农业科技资源配置能力及比较优势研究*——基于省级农业科学院视角

[目的]通过测算各地区农业科技资源的配置能力,分析其比较优势并找出不足以便弥补差距,促进各区域农业科技配置能力的提高,为各地区农业经济的发展提供支持。省级农业科学院作为各省市规模最大、综合实力最强的农业科研机构,是农业科技创新的重要主体之一,分析其科技资源配置能力具有重要的现实意义。[方法]基于2009—2016年相关数据,遴选了有代表性的评价指标体系,运用突变级数法计算农业科技资源配置能力,运用NRCA模型定量分析农业科技资源配置效益的比较优势。[结果]山东农业科学院科技资源配置能力位居全国第一,甘肃、江苏、青海农业科学院分别在农业科技人力、物力、财力资源方面具有明显的比较优势。[结论]省级农业科学院科技资源配置能力区域差异十分明显,但区域格局变化不大,且大致与各地区经济实力相吻合;农业科技资源配置能力较高的农业科学院大多在农业科技物力资源配置效益方面具有比较优势,在农业科技人力、财力资源配置效益方面不具备比较优势。     

FDI与我国高技术产业技术创新关系研究——基于2005-2014年省际面板数据

改革开放以来，中国大量吸引外商直接投资，期望以此提升国内的技术创新能力。然而，在当前的背景下，我国期望通过FDI提高技术创新能力的目标是否已经实现？我国各地区高新技术产业究竟需不需要外资？等问题值得我们深入研究。实证结果表明：FDI对我国东部地区高技术产业的影响为正，对其他地区影响为负。因此，应当根据我国各地区高技术产业发展水平，实施差异化引资策略，加强知识积累、人力资本建设，为高技术产业的发展提供基础。     

INTERNATIONAL RESERVE MANAGEMENT: A DRIFT‐SWITCHING REFLECTED JUMP‐DIFFUSION MODEL

We study the cost of shocks, that is, jump risk, with respect to reserve management when the reserve process is formulated as a drift‐switching jump diffusion with a reflecting barrier at 0. Inspired by the Brownian drift switching model, our model results in a more realistic dynamic behavior of international reserves than the buffer stock model. The new model can capture both the jump behavior in reserve dynamics and the leptokurtic feature of the increment distribution which has a higher peak and two asymmetric heavier tails than the normal distribution. Through the selection of an initial distribution that reflects certain steady state behaviors, the reserve process becomes a regenerative process. This selection enables us to derive a closed‐form expression for the total expected discounted cost of managing reserves, thus helping us to numerically find management strategies that minimize costs. The numerical results show that shocks at the reserve level have a significant effect on reserve management strategies and that model misspecification can result in nonnegligible additional costs.     

新旧动能转换的理论探索与实践研判

新旧动能转换是实现创新驱动、推动经济由高速度增长向高质量发展的重大战略举措。从世界范围看，新旧动能转换不仅是世界经济演进的客观规律，也是新技术革命持续发展的必然要求。从国内发展看，新旧动能转换是中国迈向全球价值链中高端、进入经济发展新时代的根本出路。本文通过考察新旧动能转换的内涵和模式，进而从技术效率和技术进步二维视角分析新旧动能转换的动态演进。新旧动能转换包含要素、企业、产业和社会四个层面的着力点。新旧动能转换存在从政府主导走向政府引导、从经济领域走向社会领域、从重点示范走向全面推进、从要素驱动走向创新驱动、从渐进式革新走向颠覆性创新等多条发展路径。     

Home purchase restriction,real estate investment,and corporate innovation

It is ubiquitous for non-real estate firms to conduct real estate business in China. Home purchase restriction (HPR) affects corporate innovation by dampening the real estate investment of non-real estate firms. The extant literature has examined the impact of HPR on corporate innovation, but it has not focused on the expectation of HPR and the endogeneity problem. Employing a dataset of 1830 listed non-real estate firms over the period 2009–2016, this research explores the expectation of HPR on corporate innovation based on the motivations for real estate investment in non-real estate firms. We demonstrate that HPR facilitates the enhancement of research and development (R&D) investment in non-real estate listed firms by hindering real estate investment, particularly for non-high-tech firms. The effects of HPR arrive at the crest in the third implementation year and remain steady thereafter. The real estate investment of non-real estate firms rebounds and the R&D investment declines along with the cancellation of HPR. Tackling the selection bias and endogeneity problems, the baseline results are also robust. Hence, HPR should serve as a long-term vehicle to improving corporate innovation, in addition to preventing housing speculation.