Competition, cooperation, and the neighboring farmer effect

In this paper we propose a model that explains how cooperation can emerge spontaneously between firms in a highly competitive market environment. The basic idea is that the more competitive is the market, the less costly it is for firms to help each other like good neighbors. Cooperation takes the form of sharing technical know-how, which speeds up the adoption of new technologies (normally developed elsewhere) that spur industrial development. The model comports with the development history of Japan's first example of successful industrial development – its cotton spinning industry – whose conditions match those of firms in small open economies today.     

Technology commercialization intelligence: Organizational antecedents and performance consequences

External technology commercialization, e.g., by means of technology licensing, has recently gained in importance. Despite imperfections in technology markets, out-licensing constitutes a major technology commercialization channel. Although the identification of licensing opportunities represents a significant managerial challenge, prior research has relatively neglected these activities. Therefore, we develop the concept of ‘technology commercialization intelligence’ (TCI), which refers to the observation of a firm's environment with particular focus on identifying technology licensing opportunities. Grounded in a dynamic capabilities perspective, we test five hypotheses regarding organizational antecedents and performance consequences of TCI, drawing on data from a survey of 152 companies. The empirical findings provide strong support for the importance of the TCI concept. The findings deepen our understanding of the discrepancies between successful pioneering firms active in technology licensing and many others being less successful. The results have major implications for technology exploitation in open innovation processes.     

Integrating future-oriented technology analysis and risk assessment methodologies

This paper examines the potential of integrating future-oriented technology analysis (FTA) with risk assessment methodologies and tools, with the aim of developing more proactive risk assessments and also systematically including risk assessment in future-oriented technology analysis. The similarities and development challenges of foresight, Technology Analysis (TA) and risk assessment methodologies are discussed in the light of the empirical material gathered from projects performed at VTT. Among the projects are IRRIIS project focusing on risk assessment of critical infrastructures, INNORISK project aiming at managing opportunities, risk and uncertainties in new business creation and a project related to the climate change (CES). The case projects are positioned according to their important design dimensions (informative vs. instrumental outcomes; consensual vs. diverse future perspectives, extensive vs. exclusive stakeholder involvement, and autonomous vs. fixed management). The common and complementary features of FTA and risk assessment are discussed, suggesting new ways to evolve the modular design when integrating FTA and risk assessment methodologies and tools.     

产品差异与技术差距影响研发溢出的理论探讨

在传统研发溢出效应假设基础上,通过技术差距将溢出效应与产品差异有机联系起来,并通过构建双寡头企业两阶段博弈模型对研发卡特尔、生产卡特尔、完全合作等不同形式合作联盟的均衡水平和福利变化进行分析比较。研究证实：当企业间技术差距较小时,完全合作或研发卡特尔能有效提高企业利润和社会福利;而当技术差距较大时,研发阶段的合作不仅无法激励企业进行研发投入,还会抑制企业创新的积极性。此外,与完全合作相比,局部合作具有更强的稳定性和可持续性,尤其是在产品差异程度较大的情况下,研发卡特尔最为稳定。     

科技服务渗透对制造业技术进步的影响

利用世界投入产出表计算制造业细分行业科技服务渗透指数,在此基础上实证分析科技服务渗透对制造业技术进步的影响。结果表明：科技服务渗透促进了制造业技术进步,但作用强度不尽如人意;科技服务业的创新贡献在不同要素密集型制造业差异较大;本土科技服务与进口科技服务对制造业创新绩效都具有显著激励作用,且前者比后者的创新促进效应更显著;科技服务对制造业的创新激励存在明显的本地化效应,本土科技服务与进口科技服务在制造业创新过程中存在互补促进作用,需要进一步强化本土科技服务对进口科技服务的消化吸收再利用能力。     

高新技术企业多元合作研发模式选择

以资源基础理论、交易成本理论为基础,探讨了开放环境下企业不同合作研发模式对创新绩效的影响,以及知识和技术的中介作用与内部研发的调节作用。基于2014-2016年816家河北省高新技术企业数据的长短期对照检验结果表明：不同合作研发模式对创新绩效有不同影响,且无论长短期,境外合作的影响最强,产学、产政合作长期效应强,产研合作短期效应强;知识和技术起部分中介作用,内部研发正向调节产学、产政合作绩效,负向调节产研、境外合作绩效。研究结论对于高新技术企业选择研发战略具有重要意义。     

OFDI逆向技术溢出、制度质量与区域创新能力

基于2005—2016年我国省际面板数据,首先通过OLS、DIFF GMM、SYS GMM3种基准线性回归方法论证了OFDI逆向技术溢出对我国区域创新能力的促进作用。以OFDI为核心解释变量,分别构建以地区腐败、市场化程度和知识产权保护为门槛变量的动态门槛回归模型。结果发现：随着地区腐败程度加深,我国区域创新能力逐渐减弱;以市场化程度、知识产权保护为门槛变量,跨越门槛点后OFDI对我国区域创新能力的拉动作用依次增强。最后,结合面板向量自回归模型进一步研究对外直接投资过程中地区腐败、市场化程度和知识产权保护对区域创新能力的动态即期冲击。结果显示:市场化程度单位变动对区域创新能力的影响呈现正向冲击且持续性较强,知识产权保护对区域创新能力的拉动最为迅速但后期持续性较弱,地区腐败对区域创新能力产生负向冲击作用。     

创新方法应用影响因素研究评述与展望

在澄清创新方法概念的基础上,通过筛选研究文献,应用CiteSpace Ⅲ分析了国外创新方法研究的总体特征与规律、学科分布、热点主题及演化脉络,着重剖析了创新方法的前因影响变量与结果变量,结合科技接受理论,构建了以创新者信任与感知为创新方法中介变量的作用机制模型。最后结合研究不足,提出未来研究展望。     

Sources of fluctuations in hours worked for Canada,Germany, Japan and the U.S.: a sign restriction VAR approach

This study empirically examines the sources of fluctuations in hours worked in Canada, Germany, Japan and the U.S. It is particularly motivated by Galí’s (1999) VAR study, which demonstrates that a positive technology shock reduces hours worked, at least in the short run. However, in the present study, a technology shock is identified without recourse to Galí’s long-run restriction, which has been subject to active controversy. Furthermore, this study uncovers other important sources of fluctuations in hours worked to reflect the concern, raised by numerous studies, that technology shocks leave most variations in hours worked unexplained. Specifically, there are six shocks underlying our model, and they are identified using a set of sign restrictions. The empirical results confirm that in all four countries, a positive technology shock significantly reduces hours worked. This technology shock, along with labor supply and demand shocks, accounts for most of the short-term variations in hours worked. As the forecasting horizon increases, technology and demand shocks become less important, whereas labor supply shocks contribute to explaining the bulk of long-run variations in hours worked. Finally, the empirical relevance of Galí’s long-run identification restriction is tested and the results are related to those obtained using the sign restriction model.     

Consumption,welfare, and stochastic population dynamics when technology shocks are (Un)tied

The impact of uncertainty on consumption and welfare seems obvious; because of the precautionary saving motive, higher uncertainty reduces consumption, and subsequently, deteriorates welfare. Recent several studies, however, find that this intuitive narrative is not necessarily true. This paper provides the analytical underpinnings for this. In the absence of technological progress, I find that the larger demographic shocks always reduce consumption, but improve the welfare of households. Moreover, when demographic shocks are negatively tied to technology shocks, there emerges an inverted-U relationship between the size of two shocks and consumption, and a U-shaped relationship between the size of two shocks and household welfare. These results are all characterized analytically in the framework of the stochastic two-sector growth model featuring the correlated Brownian motion process. The findings suggest that demographic policies should not be implemented with no reference to the state of technology.