Knowledge capital,CEO power,and firm value: Evidence from the IT industry

Disruptive innovation dramatically changes the demand of a product market in the information technology (IT) industry. In response to the impact of disruptive innovation, IT firms that may be eliminated from the competitive race actively develop innovative products and adjust their operating strategies to strengthen their survivability in the fiercely competitive market. Thus, this study explores the factors that affect firm value in the IT industry under the impact of disruptive innovation. The empirical results reveal that knowledge capital and CEO power play crucial roles in explaining firm value. IT firms with powerful CEOs and increased knowledge capital have high firm values. The effects of knowledge capital and CEO power on firm value are especially significant for founder and duality CEO firms. Furthermore, the influence of CEO power is more prominent in periods of financial crisis.     

CEO hometown identity and firm green innovation

Drawn on the upper echelons theory, this study investigates how chief executive officer (CEO) hometown identity drives firm green innovation. We propose that CEO hometown identity has a positive impact on a firm's green innovation performance. Furthermore, we explore the moderating role of managerial discretion determined by organizational and environmental factors (i.e., institutional ownership and market complexity). We propose that institutional ownership negatively moderates the positive relationship between CEO hometown identity and green innovation, but market complexity plays a positive moderating role. Using Chinese publicly listed firms from 2002 to 2016 in heavily polluting industries, our findings support these hypotheses. Our research contributes to the upper echelons theory and corporate social responsibility literature and has substantial practical implications.     

参与产学研合作对科研人员国际和国内论文发表的影响——区域边界和院校层次的调节作用

当前文献对参与产学研互动是否会正向或负向影响科研人员的学术绩效尚未形成一致结论。本文搜集参加广东省企业科技特派员计划的共3 524名科研人员的相关数据,考察参与学企人员流动形式的产学研互动对其学术绩效的影响,包括对国际和国内论文发表的影响。研究发现,参与学企人员流动对学术绩效既有正向促进作用,也有负向削弱效应。结果表明,参与计划对特派员国际论文发表的促进作用大于国内论文。参与后,特派员国际论文发表的增长速率有显著增加,而国内论文发表的增长速率却明显减低。且高层次院校科研人员参与学企人员流动比一般院校人员获得更高的国际论文产出。本地科研人员参与学企人员流动能够比区域外人员获得更高的国际论文产出。研究结论对平衡科研人员学术研究和创新成果转化活动的政府产学研政策、学研机构行政机制和企业管理策略都具有重要参考价值。     

海洋科技创新驱动区域经济增长影响效应分析

海洋经济被视为引领世界经济发展的新引擎.基于结构方程模型在经济学领域分析复杂关联因素中的优势,采用偏最小二乘结构方程模型研究海洋科技创新能力、蓝色经济发展和区域经济发展之间的关联效应,分析海洋科技与经济发展之间的内在作用机理.实证研究表明:海洋科技创新能力对蓝色经济发展具有显著的直接促进作用;引入蓝色经济作为中介变量形成传导路径,科技创新能力对驱动区域经济发展具有间接效应及明显的总体作用.     

高质量发展视角下区域创新能力的提升路径 ——以南京市江宁区为例

我国经济已由高速增长阶段转变为高质量发展阶段,实现高质量发展是新时代我国经济发展的根本要求。高质量发展与创新驱动紧密关联,必须多举措协同提升区域创新能力。区域创新能力是指一个地区将知识转化为新产品、新工艺、新服务的能力,代表了创新要素在一定区域内聚集、整合以及推动区域可持续发展的基本能力。为了有效提升区域创新能力,必须强化区域创新的综合保障、构建区域创新综合生态体系、促进创新创业项目孵化与成果转化、强化区域制造业发展相关的创新活动等。以南京市江宁区为例对此进行了分析,该区积极实施战略科技引领计划,不断强化创新工作,通过促进区域创新平台建设、区域创新的服务支撑体系构建、高端创新资源在区域的聚集、区域制造业创新发展及合理布局等,不断增强区域创新能力,有效支撑了区域高质量发展。     

资本要素市场化改革、对外直接投资与技术创新绩效

对外直接投资对母国产业的技术创新具有反哺促进效应,但同时受资本要素市场扭曲的调节作用影响。本文运用2003~2016年的面板数据,设定双因素基准模型并进行东、中、西部地区分样本回归以检验资本要素市场扭曲对OFDI的技术创新的调节作用。结果发现:OFDI通过逆向技术溢出促进了母国的企业技术创新绩效。同时,资本要素市场扭曲抑制了OFDI反哺技术创新绩效的正向作用,且资本要素市场扭曲对OFDI的技术创新的调节效应存在地区差异性。因此,深化要素市场化改革,调整对外直接投资结构和优化营商环境,是实现OFDI协调发展以推动技术创新绩效提升的有效途径。     

产业集聚、市场集中对区域创新能力的作用——基于京津冀、长三角两大经济圈制造业的比较

产业集聚和市场集中是影响区域创新能力的重要因素。本文考察了京津冀、长三角两大经济圈制造业产业集聚与市场集中对区域技术创新能力的作用。实证分析结果表明：两大经济圈制造业集聚与市场集中均在一定程度上促进了区域创新能力的提升，但由于两大区域体制机制条件、创新环境、产业组织形态等不同，制造业产业集聚影响区域技术创新的程度、特征与路径也存在一定差别。两大经济圈应采取差异化集群发展方式，加快推进制造业集群升级，特别是应抢抓第四次工业革命发展机遇，提升制造业智能化水平，提升区域创新能力水平。     

高校新农村研究院：科技支撑乡村振兴的有效载体

[目的]较之前开展的新农村建设,乡村振兴战略是一种更高层次的发展手段和目标。文章旨在对高校新农村研究院推动乡村振兴的实践经验和困难问题进行梳理,分析背后的成因与制约因素,以期为以高校新农村研究院为抓手、从科技引领和支撑的角度推动乡村振兴战略的落地实施提供有针对性的建议。[方法]该文从协同创新理论出发,基于对沈阳农业大学新农村发展研究院的实地调研,采用文献梳理、归纳总结和定性分析等方法对高校新农村研究院为乡村振兴战略提供科技支撑的机理、模式、作用和困难问题进行了梳理。[结果]高校新农村发展研究院通过整合政府、高校、企业等多方资源,从技术协同、人才协同与理念协同3方面为乡村振兴提供了有效支撑。但目前各级政府对高校新农村研究院的作用地位还缺乏充分认识,存在财政支持不到位、技术推广激励与考评机制不完善等问题。[结论]整合各方科技创新资源,构建起各类主体跨界协同、不同技术集成应用、创新资源全链配置、关联产业融合发展的新型农业科技协同创新体系;进一步强化高校新农村发展研究院在农业科技服务中的主体地位,增强财政对新农村发展研究院的持续投入,改革高校农技推广人员职称评定与考核激励机制。     

Evaluation of the green technology innovation efficiency of China's manufacturing industries: DEA window analysis with ideal window width

Data Envelopment Analysis (DEA) window analysis with ideal window width is applied to evaluate the green technology innovation efficiency of 28 manufacturing industries in China during 2006–2014. The obtained results are compared with those calculated using the traditional DEA model, and convergence analysis of the efficiency is conducted. Five years is the obtained ideal window width and DEA window analysis with ideal window produces results closer to reality for China's manufacturing industry. The overall efficiency of the green technology innovation in the manufacturing sector is low following a wave-shaped curve – first decreasing, then increasing and decreasing again, with large inter-industrial differences. There are 8 high-, 14 medium- and 6 low-efficiency industries. A convergence trend in the green technology innovation efficiency within the 28 manufacturing industries exists, implying a catch-up effect between them.     

How Fast are Semiconductor Prices Falling?

The Producer Price Index (PPI) for the U.S. suggests that semiconductor prices have barely been falling in recent years, a dramatic contrast to the rapid declines reported from the mid‐1980s to the early 2000s. This slowdown in the rate of decline is puzzling in light of evidence that the performance of microprocessor units (MPUs) has continued to improve at a rapid pace. Over the course of the 2000s, the MPU prices posted by Intel, the dominant producer of MPUs, became much stickier over the chips' life cycle. As a result of this change, we argue that the matched‐model methodology used in the PPI for MPUs likely started to be biased after the early 2000s and that hedonic indexes can provide a more accurate measure of price change since then. MPU prices fell rapidly through 2004 on every price measure we present, with the PPI declining at an even quicker pace than the hedonic indexes. However, from 2004 to 2009, our preferred hedonic index fell faster than the PPI, and from 2009 to 2013 the gap widened further, with our preferred index falling at an average annual rate of 42 percent, while the PPI declined at only a 6 percent rate. Given that MPUs currently represent about half of U.S. shipments of semiconductors, this difference has important implications for gauging the rate of innovation in the semiconductor sector.