Institutionalism and Econometrics: Toward a Meaningful Synthesis

For the last twenty years, the world economy has evolved at a great speed. Every good, capital asset, and knowledge is mobile and induces more competition. Innovation in commodities is a complex process that requires more cooperation. To innovate in the knowledge economy, firms nowadays must establish “win-win situations” for individuals in creating networks. These networks are useful for firms in order to come up with innovative strategies. The building of networks enables the interactions between agents, the environment, and institutions. The interdependence of agents and institutions is not new to evolutionary theory (Commons 1931 Commons, John R. “Institutional Economics.” American Economic Review 21, 4 (1931): 648–657. [Google Scholar]; Veblen 1898 Veblen, Thorstein. “Why Is Economics Not an Evolutionary Sciences?” Quarterly Journal of Economics 12, 2 (1898): 373–397.[Crossref] , [Google Scholar]). However, I argue that institutions must be more flexible than ever before in order to help agents adapt to the modern knowledge economy. On the basis of the role of meso-networks, I propose new long-run specialization and short-run competitiveness that will promote greater efficiency and equality around the world in relation to firms and countries exporting industrial goods into world markets. Within the innovative networks, I analyze the role of two different actors: (i) the “economic leader” who has a long-run strategy and (ii) the “go-between leader” who knows how to diffuse “useful information” to actors to help them innovate in new products, services, or processes.     

企业研发网络的特征和结构模式分析

企业研发网络成为企业获取研发资源、缩短技术开发时间、减少研发投资费用与分散风险的有效组织形式。本文在界定企业研发网络概念内涵的基础上,分析了企业研发网络的开放性、多元化、广泛性、协同性、动态性、平等性等特征,构建了企业研发网络的基本结构框架图,进而分析了构成企业研发网络的各结点的功能。     

企业价值网低碳共生演化的序参量控制机理研究——“后危机时代”工业发展模式转型研究

每一次经济危机都会带来产业结构的大调整,并诱发工业发展模式的大转型。本文基于协同学的研究视角,选取了企业价值网作为研究对象,研究在后危机时代企业价值网实现低碳共生演化的序参量控制机理,进一步揭示企业价值网微观运行机理,为企业及政府在后危机时代实现企业价值网的低碳共生演化和低碳发展模式转型提供决策理论依据。     

Towards Trade Equalisation: A Network Perspective on Trade and Income Convergence Across the Twentieth Century

An enduring dynamic of the twentieth century is the dramatic expansion of global trade with increased partners, goods, frequency and volumes. Most trade explanations such as the Heckscher–Ohlin, new trade theory, gravity models, and Ricardo and Sraffa focus on how bilateral import and export volumes and intermediate input goods are driven by decreased financial and information transaction costs. Extending work on trade flows and economic development, we derive several network measures of degree, betweenness and eigenvector centrality from dyadic trade flows from 1960 to 2009. We then empirically explore the interactive effects of trade connectivity, economic production and stages of development on income convergence and trade equalisation. We empirically find clear patterns towards a new phenomenon, both sigma levels and beta rates trade convergence and equalisation for our entire sample. Visualising sigma and beta convergence for seven major trading nations from 1920 to 2010, we believe offers new insights into economic development theory if only beginning to loosen the knot of trade, growth and globalisation.     

Effectiveness and safety of betrixaban extended prophylaxis for venous thromboembolism compared with standard-duration prophylaxis intervention in acute medically ill patients: a systematic literature review and network meta-analysis

Abstract

Aims: To determine the clinical effectiveness and safety of venous thromboembolism (VTE) prophylaxis using US- and Europe-approved anticoagulants relative to extended-duration VTE prophylaxis with betrixaban. Low molecular weight heparins (LMWHs), unfractionated heparin (UFH), fondaparinux sodium and placebo were each compared to betrixaban, as standard-duration VTE prophylaxis for hospitalized, non-surgical patients with acute medical illness at risk of VTE.

Materials and methods: A systematic literature review was conducted up to June 2019 to identify randomized controlled trials (RCTs) of VTE prophylaxis in hospitalized, non-surgical patients with acute medical illness at risk of VTE. Studies that reported the occurrence of VTE events (including death) and, where possible, major bleeding, from treatment initiation to 20–50?days thereafter were retrieved and extracted. A Bayesian fixed effect network meta-analysis was used to estimate efficacy and safety of betrixaban compared with standard-duration VTE prophylaxis.

Results: Seven RCTs were analyzed which compared betrixaban, LMWHs, UFH, fondaparinux sodium, or placebo. There were significantly higher odds (median odds [95% credible interval]) of VTE with LMWHs (1.38 [1.12–1.70]), UFH (1.60 [1.05–2.46]), and placebo (2.37 [1.55–3.66]) compared with betrixaban. There were significantly higher odds of VTE-related death with placebo (7.76 [2.14–34.40]) compared with betrixaban. No significant differences were observed for the odds of major bleeding with all comparators, VTE-related death with any active standard-duration VTE prophylaxis, or of VTE with fondaparinux sodium, compared with betrixaban.

Limitations and conclusions: In this indirect comparison, betrixaban was shown to be an effective regimen with relative benefits compared with LMWHs and UFH. This indicates that betrixaban could reduce the burden of VTE in at-risk hospitalized patients with acute medical illness who need extended prophylaxis, though without direct comparative evidence, stronger conclusions cannot be drawn.     

The ECFA and its expected effect on cross-strait trade and investment: a Taiwanese perspective

To come to terms with the realization of ASEAN+1, Taiwan had concluded with mainland China a special free trade agreement (FTA), the Economic Cooperation Framework Agreement (ECFA) in June 2010. This framework agreement provides an early harvest agreement of near-term tariff elimination, including detailed product schedules for goods and services from each side, with the final shape of fuller trade liberalization in goods and services taking years to negotiate and realize. The conclusion of the ECFA has been considered as a major breakthrough in cross-strait talks and economic relationships, even though it is by no means free from controversies inside Taiwan. The authors are therefore motivated by hot debates in Taiwan to reflect on the expected trade effect of the ECFA by taking into account the factor of cross-strait global production networks. In particular, we examine with a proposed model and statistical robustness, the trend of Taiwan-based firms' localization in mainland China, driven in part by constant movements in global production networks, which generates complicated and dynamic relationships between Taiwan's investment-induced trade and structural shift in Taiwan's exports to mainland China. Based on our empirical findings, we reflect on the conventional views on the trade effect of the free trade agreement. The results of our analyses tend to support a cautious view about the trade effect of the ECFA. Without denying the significance of the ECFA and deepening cross-strait economic relationships, we argue that the impact of the ECFA should be interpreted in a wider context than just the trade perspective, as the conventional wisdom and the existing evaluations suggested.     

A gossip based information fusion protocol for distributed frequent itemset mining

The computational complexity, huge memory space requirement, and time-consuming nature of frequent pattern mining process are the most important motivations for distribution and parallelization of this mining process. On the other hand, the emergence of distributed computational and operational environments, which causes the production and maintenance of data on different distributed data sources, makes the parallelization and distribution of the knowledge discovery process inevitable. In this paper, a gossip based distributed itemset mining (GDIM) algorithm is proposed to extract frequent itemsets, which are special types of frequent patterns, in a wireless sensor network environment. In this algorithm, local frequent itemsets of each sensor are extracted using a bit-wise horizontal approach (LHPM) from the nodes which are clustered using a leach-based protocol. Heads of clusters exploit a gossip based protocol in order to communicate each other to find the patterns which their global support is equal to or more than the specified support threshold. Experimental results show that the proposed algorithm outperforms the best existing gossip based algorithm in term of execution time.     

iSDS: a self-configurable software-defined storage system for enterprise

ABSTRACT

Storage is one of the most important aspects of IT infrastructure for various enterprises. But, enterprises are interested in more than just data storage; they are interested in such things as more reliable data protection, higher performance and reduced resource consumption. Traditional enterprise-grade storage satisfies these requirements at high cost. It is because traditional enterprise-grade storage is usually designed and constructed by customised field-programmable gate array to achieve high-end functionality. However, in this ever-changing environment, enterprises request storage with more flexible deployment and at lower cost. Moreover, the rise of new application fields, such as social media, big data, video streaming service etc., makes operational tasks for administrators more complex. In this article, a new storage system called intelligent software-defined storage (iSDS), based on software-defined storage, is described. More specifically, this approach advocates using software to replace features provided by traditional customised chips. To alleviate the management burden, it also advocates applying machine learning to automatically configure storage to meet dynamic requirements of workloads running on storage. This article focuses on the analysis feature of iSDS cluster by detailing its architecture and design.     

经济长波理论与网络文化产业发展

创新,是经济发展的本质规定。文化,是衡量世界发展的重要尺度。网络文化产业发展,正是一种创新性的发展。它既同经济周期、长波理论紧密关联,又具有反经济周期的特性,呈现出逆势上扬的特点。当然,网络文化产业的反周期与逆势上扬,并不一定是消费者直接付费的增长,而可能是其间接支出的累积,例如广告投入的力度加大。中国网络文化产业,正进入发展的黄金时期。     

基于社会网络分析的高校科技成果转化团队知识网络研究——以南昌大学江风益团队为例

以南昌大学江风益团队为例,采用社会网络分析方法对高校科技成果转化团队的知识网络进行建模和分析。通过节点中心性测度和凝聚子群分析,研究了江风益高校科技成果转化团队知识网络的节点重要性和派系结构。结论如下:该团队的核心成员在团队知识网络中起着主导知识协作关系和引导知识协作行为的关键作用;该团队的知识网络中存在7个派系,其中绝大多数派系由核心成员主导,这反映出该团队具有高度凝聚性。最后,从发展关键节点、连接孤立节点和促进知识团体三个方面提出了进一步优化团队知识网络的建议。