Collaboration for R&D Projects between the Industry and External Agents: Evidence from Manufacturing Companies in Peru

In this article we use the innovation survey of the manufacturing industry of Peru to identify cooperation behaviors for research and development (R&D) projects among companies and external agents in general. Likewise, we also find cooperation behaviors among the industry and the following external agents: university, technical centers, suppliers, customers, and companies of the same group, competitors, guilds, and consultants. Within the specific agents, the university is considered a cooperation agent for R&D projects. We use the survey of innovation in the manufacturing industry of Peru conducted in 2015, which resulted in 1447 Peruvian companies being surveyed. Evidence was obtained as to the degree of the tie between the industry and external agents for cooperation in R&D projects, giving relevance to variables such as investment, resources, and degree of innovation. Our results show that investment is an important factor for cooperation with external agents. Additionally, companies that have innovated at some point seek to cooperate with external agents. Finally, the importance of the university is demonstrable, thus, companies that invest in R&D seek to cooperate with the university.     

Residential segregation and educational attainment of children from regional migrant families in China

This paper studies the residential segregation effects on educational attainment of children from regional migrant families in China. We find that if migrant families live in segregated communities with fewer local residents, the school dropout rate of the children living with their parents in the host cities is higher and their high school enrollment rate is lower. We employ a unique set of nationwide survey data of regional migrants in China in 2012 and 2013 that comprises more than 150,000 individuals in each year. We first use the ratio of migrants over the total population residing in a community to measure segregation. When the ratio increases by 10%, the school dropout rate of migrant children increases by 4.7% from the mean value. Secondly, we identify segregation from the housing type of the migrant family. When they reside in the dorms provided by their employers or in the workplace, they will also be surrounded by many migrant colleagues. We find that living in such places increases the “not‐going‐to‐high‐school rate” of migrant children by 35% from the mean value. Our subsample analysis indicates that the segregation effects only exist in the samples of male migrant children and rural hukou families.     

基于引力模型的省域创新产出空间联系研究

基于引力模型，结合社会网络分析法的凝聚子群分析，对31个省（区、市）的创新产出空间联系进行探究，研究发现：我国省域创新产出空间联系主要集中于京津冀和长三角一带，呈现出严重的分布不均状况，具有较强的区域集中性和空间依赖性；北京、天津、上海、浙江、江苏作为区域创新产出引力较强的节点省（区、市），对周边区域的创新产出具有较强的辐射作用；总体来看，省域创新产出空间联系并没有形成贯穿东西南北的交叉网状结构，中心省（区、市）数量较少且分布不均，辐射范围有限。基于此，提出加大区域创新投入、减少区域创新产出联系的政策性障碍、营造区域创新产出联系的良好环境等政策建议。     

成渝经济区生态农业对区域经济影响分析

[目的]区域经济发展反映经济各个方面的综合发展状况,探讨其影响因素以确定区域未来经济的发展方向,为进一步规划发展提供科学依据。[方法]先构建生态农业评价指标体系再采用层析分析法确定权重,结合线性加权和函数计算生态农业评价指数,通过相关分析法分析生态农业各个指标与区域经济的关系,最终确定生态农业对成渝经济区经济的影响程度。[结果]生态农业指标中评价指数大于0.9是森林覆盖率,介于0.8~0.7的包括投入产出比、土地生产率、农业科技贡献率、万人拥有的科技人员、劳动生产率、化肥施用量。且生态农业中各个指标与GDP都正相关,其中森林覆盖率、人均收入增长率、农业科技贡献率和万人拥有的科技人员与GDP显著相关,对区域经济的影响最大。[结论]成渝经济区经济受生态农业的影响,进一步选取更多生态农业相关因素,对于全面促进区域经济持续发展具有十分的重要现实意义。     

Technological leadership and sectorial employment growth: A spatial econometric analysis for U.S. counties

This paper studies the determinants of technological catch‐up considering spatial and sectoral aggregation of industries. We investigate how geographical and technological proximity to the technology leader impact regional employment growth. We model technological progress by means of a hierarchical process of catch‐up to the technology leader. We also incorporate measures for knowledge spillover effects to test the roles of competition, specialisation, and diversity at the industry level. Empirical results using data at the county level for different economic sectors (2‐dig NAICS) for the United States indicate that human capital plays a crucial role in promoting sectoral employment growth. The association between technological/geographical distance to the technology leader and employment growth varies across sectors.     

财政压力、技术创新与绿色全要素生产率

经济社会转型期典型的中国式"压力型"财政，对地方创新活动和绿色可持续发展具有重要影响。运用2004~2017年中国256个地级市面板数据，实证考察了财政压力对绿色全要素生产率的影响以及传导机制。基准检验结果显示，财政压力显著抑制了绿色全要素生产率的提升，技术创新对绿色全要素生产率具有显著的促进作用；中介效应检验发现，财政压力通过抑制技术创新进而阻碍绿色全要素生产率的提升，即验证了财政压力→技术创新→绿色全要素生产率的传导机制；进一步门槛效应检验表明，技术创新对绿色全要素生产率的影响存在基于财政压力的双门槛效应，在财政压力的不同门槛值区间，技术创新对绿色全要素生产率的促进效应呈现出明显的阶梯性降低趋势。未来需综合完善中国式"压力型"财政激励制度，合理控制财政压力的区间范围，助力技术创新以提升城市绿色全要素生产率。     

Auditors' Responses to Workload Imbalance and the Impact on Audit Quality*

Using detailed data for fieldwork hours and audit hours by rank from audit engagements in Korea, we examine whether audits conducted under workload imbalance, proxied by busy‐season audits, impair audit quality, and how auditors adjust staff assignments for busy‐season audits. We generally find that busy‐season audits are associated with lower audit quality, and that audit firms reduce the involvement of senior auditors during busy‐season audits. In addition, the greater the involvement of senior auditors and junior auditors, the lesser the deterioration in audit quality. Finally, although there is no increase in interim audits in response to workload imbalance during busy seasons, increasing interim audits can mitigate the negative impact of busy‐season audits on audit quality. Our results are relevant to auditors and regulators, who have expressed concerns about the adverse effects of workload imbalance on audit quality.     

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。