Redefining rural prosperity through social learning in the cooperative sector: 25 years of experience from organic agriculture in Spain

In the political system and in public perception, the well-functioning of economy is frequently equalled to the output of the national economic system. However, during the last decades, this narrow conception of economic prosperity started to erode. This paper is based on a rural prosperity conceptual framework that takes into account the systemic nature and dynamics of interactions and impacts within rural systems through the analysis of an organic agriculture cooperative called Camposeven in the south east of Spain. The focus is on rural prosperity, differences in understanding, related parameters and strategies used by the cooperativés farming partners to success without following the traditional conventions of economic growth and farm-efficiency. Experience lessons in this paper demonstrate that the “technical-economic” approach of rural prosperity is not sufficient and results emphasize the important role of individuals’ behaviour as well as the contexts in which they are involved. The findings point to the increasing relevance of expanding both the theory and practice of rural prosperity approaches in sustainable rural development. This is important in order to enrich the connections between rural prosperity and other concepts such as social capital, innovation, social learning and resilience.     

Firm heterogeneity, productivity and spatially bounded knowledge externalities

In this paper, we argue that conceptually disentangling the ‘context versus composition’ aspects of regional growth is a multilevel issue. By applying multilevel models (also called random-effects models), we show (1) the importance of considering firm-specific characteristics simultaneously with region-specific characteristics, as we find that a large part of what is traditionally assigned to the impact of the region should be assigned to firm-specific characteristics and (2) that existing single-level methodologies can be problematic, as they are vulnerable to the charge of estimating significance levels that are too liberally assigned and promote exaggerations. This is illustrated empirically by showing that single-level approaches would lead to the conclusion that innovation spillovers are highly significant in a setting of Dutch urban growth differentials, while multilevel analyses shows less liberally assigned significance levels. We conclude that multilevel-effect models better fit research questions that combine firm and spatial characteristics simultaneously, especially because they allow firm-specific characteristics to be differently linked to their regional contexts.     

Contagion risk in the interbank market: a probabilistic approach to cope with incomplete structural information

One lesson of the financial crisis erupting in 2008 has been that domino effects constitute a serious threat to the stability of the financial sector, i.e. the failure of one node in the interbank network might entail the danger of contagion to large parts of the entire system. How important this effect is, depends on the exact topology of the network on which the supervisory authorities have typically very incomplete knowledge. In order to explore the extent of contagion effects and to analyse the effectiveness of macroprudential measures to contain such effects, a reconstruction of the quantitative features of the empirical network would be needed. We propose a probabilistic approach to such a reconstruction: we propose to combine some important known quantities (like the size of the banks) with a realistic stochastic representation of the remaining structural elements. Our approach allows us to evaluate relevant measures for the contagion risk after default of one unit (i.e. the number of expected subsequent defaults, or their probabilities). For some quantities we are able to derive closed form solutions, others can be obtained via computational mean-field approximations.     

科技型小微企业创新生态系统网络治理研究

建立一个完整、高效的创新生态系统是破解科技型小微企业创新困境、提高创新效率，以及助力新旧动能转换的有效途径。基于生态系统理论和演化动力学模型，构建科技型小微企业创新生态系统网络框架和网络联结模式，利用竞争、互利共生和捕食关系演化模型，分析演化模型的均衡点及其稳定条件。结果发现，创新生态位重叠程度决定了竞争激烈程度，系统演化均衡条件是主体间分工程度高，且嵌入适度。最后，从价值主体和机构主体两个方面〖JP〗提出推进科技型小微企业创新生态系统不断进化的治理策略。     

互联网能力与知识能力交互效应对知识创造绩效的传导机制:一个被中介的调节效应模型

整合资源基础观、知识基础观和动态能力理论，探讨互联网背景下互联网能力、知识能力两种企业内部因素交互作用对知识创造绩效的影响过程，尤其关注了具有前瞻性与反应性特征的战略柔性在这一过程中的重要作用，从而构建了一个被中介的调节效应模型。基于我国399家企业调研数据发现，互联网能力、知识能力均对战略柔性有显著正向影响；互联网能力与知识能力的交互作用通过战略柔性的中介机制促进企业知识创造绩效提升，即存在被中介的调节效应。在理论上，丰富了资源基础观和知识基础观在组织竞争优势构建方面的前因研究，在实践上，为处于互联网背景下的企业有效提升知识创造绩效提供了实践参考。     

嵌入性创新网络与科技型小微企业创新绩效:网络能力中介效应研究

科技型小微企业嵌入于创新网络中,通过自主性发挥网络构建与管理能力,进一步分享创新网络资源,提高创新实力。基于中国软件谷(南京)及相关创业孵化园246家软件企业问卷调查结果,运用SPSS、LISREL软件进行统计分析,实证研究网络能力对嵌入性创新网络与科技型小微企业创新绩效的中介效应。结果表明:(1)嵌入性创新网络稳定性有利于科技型小微企业创新绩效的提升;(2)嵌入性创新网络强度越大,科技型小微企业网络能力越强;(3)科技型小微企业网络能力越强,创新绩效提升越明显;(4)科技型小微企网络能力有助于促进嵌入性创新网络对创新绩效的提升作用。     

国家重点科技资源支撑区域创新经济产出的空间差异研究

根据2011-2014年科技部《国家重点科技基础条件资源调查表》以及国家统计年鉴数据,首先,使用赫芬达尔指数定量描述了利用国家重点科技资源进行创新活动的非均衡性。其次,使用网络DEA方法,实证分析了2012-2014年中国(内地)各省份国家重点科技资源对区域创新发展的支撑作用。研究表明,国家重点科技资源对区域创新发展的支撑作用不仅取决于资源创新生产阶段,而且受制于重点科技资源支持下的区域创新发展阶段。重点科技资源的支撑作用还有较大提升空间,70%的省份创新成果转化能力有待提高,且大部分省份的国家重点科技资源未实现优化配置。此外,全国及东部、中部和西部国家重点科技资源对区域创新发展的支撑效率不存在绝对收敛趋势。     

江苏网络经济发展现状及对策研究

网络经济在国民经济中正扮演着越来越重要的角色,是我国经济发展新的增长点。江苏省是我国网络经济和电子商务应用较为发达的地区之一,研究江苏网络经济的发展对于江苏乃至全国的网络经济发展都具有重要意义。通过调查江苏省网络经济的发展现状,分析存在的问题,提出了相关改进措施和优化建议,以推动江苏省网络经济更加健康、良好的发展。