An empirical approach to the organisational determinants of spin-off creation in European universities

Given the importance in recent years of the phenomenon of academic entrepreneurship in European universities, knowledge about determinants and performance of this technology transfer mechanism may have important managerial and policy implications. Applying the resource-based view at universities, we have tested the influence of five bundles of resources and capabilities on spin-off activity rates as well as on the performance of new spin-offs in a sample of seven European universities. These five bundles are: technology transfer policies and strategies; human capital; stock of technology; resources and capabilities of technology transfer offices; and support measures for academic entrepreneurship. Our results show that excellence of human capital and the presence of university-based financial support measures are strongly associated with both spin-off activity and performance. Another interesting finding is related to the availability of university-based non-economic support measures (training, counselling, etc.), which have no influence on spin-off activity but are significantly associated with performance of new spin-offs. We also discuss some interesting relationships between explanatory variables.     

中国地区间研发资源错配测算与影响因素分析

随着中国的研发投入总量进入世界第一梯队,研发投入(资源)的配置状况成为决定研发产出效率的关键因素之一。本文基于一个包含研发资源价格扭曲的多部门竞争均衡模型,以2001—2016年各省份规模以上工业企业数据为样本,对中国地区间研发资源错配情况及其影响因素进行全面考察。研究发现:(1)各省份之间的研发劳动错配高于研发资本错配,多数省份倾向于过度配置研发资源,省份之间研发资源配置效率总体上呈逐步改善趋势,纠正错配可以使研发产出提升约16%;(2)东部各省份研发资源配置相对较为合理,但研发劳动配置略有不足,中部、西部和东北各省均存在不同程度的研发资源过度配置现象,东部和西部的研发资源配置效率一直在改善,东北和中部则没有表现出持续的改进态势;(3)市场发育程度、偏向性政策扶持、地区创新环境是研发资源错配的主要影响因素,在研发资源过度配置地区,这些因素的作用更为显著。本文的启示是,在当前全面实施创新驱动发展战略的大背景下,政府相关部门在积极引导全社会加大研发投入力度的同时,还应以市场为导向,进一步优化不同地区间的研发资源配置,实现研发效率的提升和经济的高质量发展。     

Large agricultural investments in Kenya’s Nanyuki Area: Inventory and analysis of business models

Many experts agree that more agricultural investment is needed in the global South to improve local food security and reduce poverty. However, there is a lack of consensus about the types of investment needed to achieve these goals. This paper contributes to the literature on large agricultural investments and corresponding business models by inventorying and analysing such investments in Kenya’s Nanyuki area. We identify four clusters of business models that differ primarily by type of production and other distinct determinants, namely: demand from markets; access to land; land tenure regime and colonial history; actors involved; biophysical context; labour availability; and governance of the value chain via private standards. The study results shed light on the factors that help or hinder implementation of large agricultural investments and shape their impacts in the context of African land use systems. The way land is accessed represents one of the most-decisive factors determining the risks and opportunities associated with such projects. We find that most investments in the Nanyuki area occur on land bought or leased from private owners.     

日本对华直接投资影响因素研究

本文借助于计量经济模型,以1985-2002年的统计数据为基础,对日本对华直接投资的决定性因素进行实证分析。结果表明,日本对华直接投资的主要影响因素包括中国市场容量、中日双边贸易、实际汇率和中日实际工资差异。通过对模型中各变量的比较和归纳,日本对华直接投资动机整体上可以综合为两个方面:一是日本的对外直接投资作为贸易主导型对外直接投资,以扩张本国的边际产业为直接目的;二是中国巨大的市场是吸引日本跨国公司对华直接投资的重要原因。     

中国生产性服务业FDI影响因素实证研究

本文采用动态面板数据分析方法,利用我国20个省市2004-2010年的面板数据,分析我国生产性服务业FDI的影响因素。研究结果表明:(1)整体生产性服务业FDI与市场规模和市场增长潜力呈正向关系,但细分行业中信息传输、计算机服务和软件业,科学研究、技术服务和地质勘查业这两个行业并没有像预期的那样会促进其FDI的流入。(2)整体和细分生产性服务业FDI均明显具有追逐制造业FDI的倾向,并且与前期生产性服务业FDI具有正向关系。(3)劳动力工资水平与生产性服务业FDI流入呈正相关,这与绝大多数现有的研究尤其是关于制造业或服务业FDI影响因素的研究结论不同。(4)熟练工人、基础设施系统、政府干预和对外开放程度均与生产性服务业FDI有显著关系,是影响生产性服务业FDI的主要因素。     

产业内贸易决定因素——基于我国装备制造业的静态面板数据

本文利用F-F指数计算了我国制造业产业内贸易水平,结果显示产业内贸易处于较高水平并且呈上升趋势。对指数进行分解可以看出:垂直型产业内贸易虽然下降但仍处于主导地位;水平型产业内贸易在上升,说明我国装备制造业目前还处于加工贸易的低端,但在不断提升国际分工地位。对产业内贸易决定因素的实证研究显示,要素禀赋及其变化是引起产业内贸易变动的主要因素,而外商直接投资、规模经济和产品差异三个因素的影响很微弱,这表明我国装备制造业扩张的基础是比较优势且主要集中于产业链低端。