效率视角下"一带一路"沿线国家创新影响力研究

从效率差异视角构建国家创新影响力评价方法，揭示“一带一路”沿线国家创新要素流动倾向性以促进交流合作。运用DEA模型测算各国创新效率，根据DEA原理识别国家间的认可关系，构建创新网络并用节点特征向量中心度表示各国创新影响力，分析创新影响力类型、创新网络特征及创新投入冗余率与产出不足率。结果发现，各国创新效率存在显著差距;各国分别处于创新网络中心、核心和边缘位置，国家创新影响力依次递减;按照创新要素相对强度，沿线国家可分为6种创新类型;最后，提出沿线国家间开展创新交流与合作的必要性和途径。     

Co-branding on industrial markets

During the last decade branding has developed to be one of the main focus areas in consumer marketing. In the industrial marketing area there has only been limited attention to this phenomenon. In this paper we focus on how co-branding can be used on industrial markets to increase value. Through an empirical study of professional purchasers' attitudes towards co-branding activities between two companies, we explore the potential of this strategy.     

A resilience-based framework for evaluating adaptive co-management: Linking ecology, economics and society in a complex world

Adaptive co-management brings together collaborative and adaptive approaches in pursuit of sustainable resource use and social-ecological resilience. Enthusiasm for this management approach, however, is countered by recent critiques regarding outcomes. A lack of evidence from consistent evaluation of adaptive co-management further exacerbates this situation. This paper revisits the issue of evaluation in natural resource management and recasts it in light of complex adaptive systems thinking. An evaluative framework for adaptive co-management is developed which directs attention toward three broad components: ecosystem conditions, livelihood outcomes and process and institutional conditions. Scale-specific parameters are offered for each component to facilitate systematic learning from experience and encourage cross-site comparisons. Conclusions highlight the importance of systematically incorporating evaluation into the adaptive co-management process and recognize the challenge for resource agencies and researchers to shift from a conventional to a complex adaptive system perspective.     

New market creation through transformation

Is new market creation a search and selectionprocess within the theoretical space of all possible markets? Or is it the outcome of a process of transformation of extant realities into new possibilities? In this article we consider new market creation as a process involving a new network of stakeholders. The network is initiated through an effectual commitment that sets in motion two concurrent cycles of expanding resources and convergingconstraints that result in the new market. The dynamic model was induced from two empirical investigations, a cognitive science-based investigation of entrepreneurial expertise, and a real time history of the RFID industry. JEL Classification: M13, M31, D4, D52, D71, D72, L1, L2, P42 We would like to thank the Batten Institute at the Darden Graduate School of Business Administration, University of Virginia, for supporting this research. We would also like to thank the following on specific contributions to our thesis: Anil Menon for his relentless insistence on more precise formulations of effectual reasoning; Jim March for his conversation and for inspiring us to dig into Type I and Type II errors; Rob Wiltbank for firming up the section on opportunity costs; and Stuart Read for helping us clarify our writing. Correspondence to: S.D. Sarasvathy     

我国商业银行操作风险度量模型的选择

操作风险涉及银行经营活动的所有领域、各个环节和所有人员，不同银行、不同业务、不同环节的操作风险特征都不相同。操作风险度量是对操作风险进行经济资本配置的基础，目前还没有普遍适用的操作风险度量方法，现有的一些主流模型没有充分考虑内部控制对操作风险的影响和操作风险的因果性特征。因此，操作风险度量模型应考虑到其特征，既要综合主观和客观两方面的因素，也要可以灵活地进行动态调整。考虑到我国商业银行操作风险管理的实际，在操作风险度量模型的选择上，可用内部控制评价结果调整的基本指标法和标准法作为自上而下的度量模型，用贝叶斯网络技术作为自下而上的度量模型。     

Unpacking systemic innovation capacity as strategic ambidexterity: How projects dynamically configure capabilities for agricultural innovation

Problems in agriculture and land use are increasingly recognised as complex, uncertain, operating at multiple levels (field to global value chains) and involving social, economic, institutional, and technological change. This has implications for how projects navigate complexity to achieve impact. However, few studies have systematically evaluated how project actors engage with other actors to configure capabilities and resources across multiple levels in agricultural innovation systems (AIS), from the individual to the network, to mobilise and build systemic innovation capacity. An analytical framework conceptualising the nested configuration of capabilities at multiple levels in the AIS is applied to two projects that successfully tackled agricultural and land management problems of differing complexity: (i) improving lamb survival; and (ii) sustainable land management in New Zealand. Findings indicate that innovation capacity constitutes project actors interacting with other AIS actors to configure capabilities and resources at different levels of the AIS in order to leverage positive project path dependencies and break path dependencies that are created by existing and historical capability configurations. Project actors also balance exploiting existing innovation capabilities, as well as using adaptive capability for exploring and creating new capability configurations to respond to emerging circumstances. This implies that projects should have strategic ambidexterity in terms of how they combine exploiting existing and exploring new networks to access, combine, create, or disconnect certain capabilities to address ‘capability voids’ in AIS. This requires support to projects to constantly scrutinise, through reflexive monitoring by dedicated facilitators, specific agriculture and land use policies connected to major sustainable development models (e.g. climate smart agriculture, urban farming, smart farming). The can help assess whether the AIS provides the right mix of capabilities and whether this is adequately supported by innovation policy, to realize transformative policy objectives.     

Systemic risk and dynamics of contagion: a duplex inter-bank network

This paper constructs a duplex banking network formed by credit relationships and information interaction via the banks’ balance sheet to model the structure of systemic risk and investigate the dynamic mechanism of contagion in terms of default and liquidity infection along with the factors that affect the extent of the contagion. We systematically explain the role that duplex banking networks play in different aspects of risk contagion. Through theoretical analysis and simulations, we conclude that asymmetric information interaction would increase the inflexibility of the system, which leads to liquidity shortage and possibly the collapse of the whole market. The weakness of systemic risk in the interior of the complex banking system can be characterized by the partial discount factor using illiquid assets in the information network. By improving the connectedness of the information network of the duplex networks, the spread of contagion can be partially slowed.     

Predicting bank insolvencies using machine learning techniques

Proactively monitoring and assessing the economic health of financial institutions has always been the cornerstone of supervisory authorities. In this work, we employ a series of modeling techniques to predict bank insolvencies on a sample of US-based financial institutions. Our empirical results indicate that the method of Random Forests (RF) has a superior out-of-sample and out-of-time predictive performance, with Neural Networks also performing almost equally well as RF in out-of-time samples. These conclusions are drawn not only by comparison with broadly used bank failure models, such as Logistic, but also by comparison with other advanced machine learning techniques. Furthermore, our results illustrate that in the CAMELS evaluation framework, metrics related to earnings and capital constitute the factors with higher marginal contribution to the prediction of bank failures. Finally, we assess the generalization of our model by providing a case study to a sample of major European banks.     

Complex stylized facts of the Mexican economy: a hirschmanian perspective (to attack the “fear of growing”, more and better)

We elaborate some complex stylized facts related to the Mexican economy. The analyzed period runs from 1960 to 2013 with selected subperiods. Our main findings are: 1) there are involuntary idle capacities in the manufacturing industries; 2) the growth of the Mexican economy is not balanced but unbalanced; 3) there is an inflation-free environment. This fact is consistent with the previous ones; 4) there is a mixed of efficient and inefficient sequences of investment; 5) the stimulus of manufacturing exports on macroeconomic performance has been offset by its imports; 6) the deficits in manufacturing balance and in the current account have been financed without difficulty. Of course, this financing capacity constitutes a second best condition; 7) according to a backward linkages analysis, the towing capacity of manufacturing sector over the Mexican economy would be a larger one if the manufacturing imports penetration had not been so intense since the trade liberalization; and 8) the size of the positive effect of the manufacturing sector on the economy and on the non-manufacturing sectors diminished since the early eighties. Our complex stylized facts highlight the need for an upgrading of the current economic policies.     

Alternative farming and collective goals: Towards a powerful relationships for future food policies

Based on the significant amount of literature on the concept of spatial, ecological, and social embeddedness in the Alternative Food Networks (AFNs) research, this study describes the main dynamics related to the involvement of non-conventional farmers in their collective ideas and actions.With a comparison between two European regions: Sardinia and the Community of Madrid, the paper identifies different styles of behaviour among organic producers, whether or not supervised by a control body, and highlights the differences and similarities regarding their ideas about how alternative agriculture has an impact on the environment as well as society. Eco-economies and ecopreneurship are also considered. The aim is to see if, and to what extent, these ideas have a collective character, going beyond the limits of the single farm to reach a regional scale and, thus, if there is a basis for the development of future food-related planning policies. Through the information provided by semi-structured interviews, farmers have been divided into categories according to their degree of embeddedness, described through the main themes that emerged during the interviews. Every farmer has been included in only one category according to his or her main preference, which does not imply the ab-sence of a positive attitude towards other categories.The study aims to contribute to the understanding of how AFN values and methods can boost the improvement of biodiversity and landscape conservation through collective actions which have the power to boost and develop rural initiative at a regional scale.