多尺度视角下中国城市创新网络格局及邻近性机理分析

借助2016年国家知识产权局的专利合作数据,利用复杂网络和空间分析方法对国家、区际和省内三个尺度的城市创新网络结构进行刻画,并利用负二项回归法对创新合作的邻近性机理进行了剖析。研究表明：①全国城市创新网络的整体联系较弱,网络极化现象明显,空间结构呈现出以北京为核心的放射型网络形态。区际城市创新网络的跨区域网络联系强于区内网络联系,东中西形成以区域中心城市为核心的异质性空间结构。省内城市创新网络的本地结网不足,内部联系强度低,空间形态普遍呈现出以省会城市为中心的核心-边缘结构。②回归结果证实了社会邻近、技术邻近对城市创新结网具有显著的促进作用,地理邻近则呈现出不显著的正向影响。其中,技术邻近的促进作用显著高于社会邻近,而地理邻近则需要通过社会邻近的调节效应对创新结网产生影响。     

空间地理规律对区域(中国)发展过程的影响

运用空间地理规律探讨历史区域的空间发展过程,在古代中国具有十分良好有利的客观条件。本文基于较大空间尺度和较长历史时限,针对区域地理诸多分异现象的发生和变化,系统阐述了这一规律的三个方面(纬度地带性规律、经度省性和垂直地带性规律),在不同区域或地带空间发展过程中突出的表现特点和影响形式。     

中国省区间的外资R&D知识溢出及其空间差异研究——基于随机前沿生产模型(SFA)的实证

基于随机前沿生产函数构建的区域知识溢出模型,实证分析了中国省区层面的外资R&D空间溢出效应及其差异。结果显示,我国外资R&D活动不仅对本省存在溢出影响,对邻省亦有重要贡献;东部省区同时受益于其东、中部邻省的外资R&D溢出效应,但中西部省区均只从同一区域且邻近省份的外资R&D活动获益。研究还发现,我国三大区域内部均已结成紧密的省际空间联系,外资R&D双向溢出显著;但东部与中部省区的空间关联度不强,外资R&D呈单向溢出格局;而中部与西部之间目前仍存在明显的空间分割特征,造成彼此之间互无溢出。     

基于高考试题研究的地理过程知识教学策略探究

<正>地理学以地理过程显示时空演变,地理过程则强调在一定时间中发生的地理现象及其发展变化的过程,这是对地理格局的解释前提,也是理解地理机制的关键。《普通高中地理课程标准》（2017年版）（以下简称“课标”）明确提出“能够运用地球科学的基础知识,说明一些自然现象之间的关系和变化过程”的学业要求。命题建议指出：“做好对地理变化知识内容的考察工作,也就是对地理事件发生的空间及其形态展开专业描述,掌握发展规律,再结合掌握的知识点提高预测的准确性。”由此可见,学好地理学科,掌握各知识要点,主要表现为了解地理发生的过程     

幸福地理学研究中的时空间尺度陷阱

尺度是地理学的核心概念,但是在近年兴起的关于幸福地理学研究中对尺度问题的讨论仍属空白。本文在借鉴此前地理学尺度研究成果的基础上,结合现有幸福感的理论和实证研究,分别从现实尺度、分析尺度和实践尺度出发,系统反思了幸福感研究中的尺度陷阱。首先,对区域幸福感水平的度量需要选择汇总尺度和方法,影响幸福感的地理因素本身和地理环境对幸福感的影响也有其特定尺度。第二,分析地理环境对幸福感的影响时,既要合理处理研究结论的尺度变异性和不同时空间尺度上研究结论的整合问题,也要防止出现真实尺度与分析尺度之间出现错位。第三,个人会通过家庭内部成员间取舍、社会比较等尺度重构和尺度政治方式提升幸福感,而政府在试图改善居民幸福感时也需要选择合理的空间干预尺度。幸福感研究必须跳出各类尺度陷阱,探究影响幸福感的地理要素的真实尺度及合理的分析尺度,并妥善解决个人和政府在提升幸福感时面临的尺度政治争端。     

城市舒适性视角下长春市创新产出的空间特征及影响因素

基于长春市2009—2018年专利授权数，以城市街道为创新产出基本分析单元，从城市舒适性视角探讨城市创新产出的空间格局及其影响因素。研究发现：2009—2018年长春市城市内部创新发展差异逐渐增大，局部区域相对均衡，整体呈现“西南集聚，东南分散”的空间特征；创新产出的空间单元数量逐渐增多，并形成“北低南高，四大核心”的空间格局；且伴随显著的高值集聚现象，企业、大学与研究机构的空间聚集性促进了知识溢出效应；城市舒适性对于长春市创新产出的空间集聚有一定影响，休闲舒适性因子与长春市创新产出的空间分布整体相关性较强。     

中国旅游创新与旅游经济增长关系研究——基于空间面板数据模型

本文运用空间面板数据模型,选用1998～2009年数据研究了中国省域旅游创新与旅游经济增长的关系,发现：中国省域旅游创新与旅游经济增长呈现显著空间集聚性;旅游创新不仅推动当地旅游经济的增长,还通过空间传导机制对邻近区域的旅游经济产生正向的溢出效应。说明应充分重视创新在旅游经济增长中的积极作用,通过旅游创新成果的溢出效应扩大旅游创新对旅游经济增长的作用程度和范围。     

国外旅游线路空间模式研究进展

旅游线路空间模式实质上是游客在目的地区域对停留空间和消费空间的理性选择与线性组合,是具有典型空间属性的社会文化地理现象和经济地理现象,涉及了作为旅游景点和旅游目的地的点状地理要素和作为旅游线路的线状地理要素以及旅游目的地体系构成的区域等面状地理要素。从文献综述的角度对不同尺度旅游线路模式的空间模型、目的地类型、游客旅行行为特征、模式选择影响因素以及理论基础进行了总结,在此基础上结合国内研究对旅游线路模式今后的研究方向提出了建议。     

谈图书馆的知识管理

图书馆是知识交流的平台,是知识创新的阶梯,是知识储备的资源,它伴随着人类社会文明发展的全过程,因此图书馆知识管理的好坏直接关系人类进步程度,具体说全世界所有大学和科研机构都有图书馆,人类生活离不开图书馆,人类上天更离不开图书馆。但目前人们往往注意电脑网络的多了,图书馆在人们心目中有些淡化,感觉可有可无,这就亟需提升人们对图书馆的需求意识,提升图书馆工作者对图书馆的管理意识,那么现代图书馆如何管理是摆在图书馆工作人员面前的新课题,本文谨从图书馆知识管理的必要性谈一点个人见解。     

国外创新网络研究述评与区域共生创新战略

创新网络是企业创新在地理空间和战略关系层面上的综合体现。在经济地理视角下,本文重点从企业层面的联盟创新网络,产业层面的集群创新网络,以及区域层面的共生创新网络加以具体评述与分析。在企业层面,强调企业在网络当中的核心地位,以及如何通过企业战略联盟构建创新网络;在产业层面,强调产业集群要素对创新网络影响,更倾向刻画创新网络是一种以产业地理空间为边界的整体性创新网络;在区域层面,跨越企业所处的产业边界,基于生态共生思想提出区域共生创新网络的新范式。最后,提出创新网络未来的研究应重点关注企业、产业与区域三个层面的协同演化,突破传统区域创新网络的空间特征和地理格局,探讨如何构架一个具有层次性、协同性和互动开放性的区域生态共生创新网络。     

EXPLAINING THE VARIATION IN THE EMPIRICAL ESTIMATES OF ACADEMIC KNOWLEDGE SPILLOVERS*

ABSTRACT This paper presents a meta‐regression analysis of the empirical studies exploring the relationship between academic knowledge spillovers and regional innovation. The results of the literature are found to depend on country effects, the level of geographical aggregation employed, the method of measuring innovative output, the use of industry‐level data, and on the sectoral composition of the sample. Endogeneity, sample selection, and agglomeration forces are further elements that explain the findings on this issue but only weak evidence, after controlling for publication bias, supports the existence of a genuine spillover effect of university research on regional innovation.     

DETERMINANTS OF KNOWLEDGE PRODUCTION AND THEIR EFFECTS ON REGIONAL ECONOMIC GROWTH

ABSTRACT We provide a Bayesian spatial Markov Chain Monte Carlo model composition (MC³) analysis of growth rates in European regional patenting activity. Based on theoretical models on innovation and growth, we identify a large set of candidate explanatory variables that characterize regional stocks of knowledge, including: human resources devoted to innovative activity, scientific and technical capabilities, public and private investments, government policies, as well as regional industry structure, and indicators of regional technology gaps that reflect distance from the technological frontier. Our analysis shows that accommodating spatial dependence and heterogeneity leads to different conclusions regarding factors important for technological transfer and knowledge spillovers.     

博物馆中的南海知识生产与地理想象

地理想象是通过文化媒介对特定地方的地理“现实”的转录与重构,而博物馆是达成地理想象的一个代表性媒介。博物馆不只是一个展品陈列的空间载体,其中还包含着地理知识的生产。本文以南海博物馆为例,采用参与式观察、半结构式访谈、话语分析方法,探讨中国（海南）南海博物馆对“南海”的呈现。研究表明,南海博物馆对南海的地理想象不仅是话语建构,同时也是一种国家领土主权在话语层面上的实践。地名、地物、地图、地景是南海地理想象的构建基础,中国（海南）南海博物馆通过对“过去”资源的空间组织,构建了“南海”的地域想象、边界想象以及地缘想象。     

SPATIAL HETEROGENEITY IN KNOWLEDGE,INNOVATION, AND ECONOMIC GROWTH NEXUS: CONCEPTUAL REFLECTIONS AND EMPIRICAL EVIDENCE

By drawing on the Schumpeterian distinction between invention (i.e., new ideas and knowledge creation) and commercialization of new ideas (i.e., innovation), this paper shows that knowledge and innovation are both important drivers of economic growth, but have heterogeneous spatial impacts. In particular, the growth benefits accruing from knowledge seem rather selective and concentrated across space whereas the growth benefits generated by innovation seem more diffusive, and regions innovating in the absence of a strong local knowledge base can be as successful as more knowledge‐intensive regions in turning innovation into a higher growth rate, possibly by exploiting local informal knowledge and/or knowledge spillovers. These results are of great importance for the design of research and innovation policies within the frame of the Europe 2020 strategy.     

地理邻近促进产学研协同创新吗?——基于多维邻近整合的视角

运用偏最小二乘法（PLS）构建结构方程模型,将多维邻近整合到统一的研究框架,分析地理邻近对跨区域产学研协同创新绩效的影响。结果显示：地理邻近是多维邻近的第一维,其他邻近都是在地理邻近的影响下作用于产学研协同创新绩效;社会邻近虽然正向作用于技术邻近和关系邻近,但是不能间接通过技术邻近和关系邻近正向影响产学研协同创新绩效;制度邻近和关系邻近对产学研协同创新的影响很显著。为了实现科技资源优化聚集,有必要加快制度、市场和基础设施的一体化建设。     

R&D Cooperation in Innovation Systems—Some Lessons from the European Regional Innovation Survey (ERIS)

Our paper summarizes some of the main results of the European Regional Innovation Survey (ERIS) as far as they are discussed in this special issue of European Planning Studies . The overall target of the ERIS project is a quantitative and qualitative assessment of determinants crucial for the innovation potential of any region, i.e. innovative and non-innovative manufacturing firms, business services and research institutions, as well as the innovative linkages and networks between these actors. Empirical research is based upon almost 8600 questionnaires collected in 11 European regions. Results confirm some of the common hypotheses on the relationship between space and innovation networks but others are contrary to existing scientific knowledge. Obviously the impact of national innovation systems on the innovation activities of manufacturing firms in a given European region is-at least-as strong as the impact of the respective regional innovation system. The spatial range of innovative linkages significantly depends on the size, the type of the cooperation partner, the R&D intensity and the industry of the analysed manufacturing firm. For example, the higher the technology intensity of the industry, the greater is the need of each firm to use intraregional knowledge via innovation linkages. It is therefore an important task in regional innovation policy to promote network-building among firms and other actors of a regional innovation system and to interlink these intraregional networks with national and international knowledge sources.     

The Geography of Knowledge Spillovers Between High-Technology Firms in Europe: Evidence from a Spatial Interaction Modeling Perspective

The focus in this article is on knowledge spillovers between high-technology firms in Europe, as captured by patent citations. The European coverage is given by patent applications at the European Patent Office that are assigned to high-technology firms located in the EU-25 member states (except Cyprus and Malta), the two accession countries Bulgaria and Romania, and Norway and Switzerland. By following the paper trail left by citations between these high-technology patents we adopt a Poisson spatial interaction modeling perspective to identify and measure spatial separation effects to interregional knowledge spillovers. In doing so we control for technological proximity between the regions, as geographical distance could be just proxying for technological proximity. The study produces prima facie evidence that geography matters. First, geographical distance has a significant impact on knowledge spillovers, and this effect is substantial. Second, national border effects are important and dominate geographical distance effects. Knowledge flows within European countries more easily than across. Not only geography, but also technological proximity matters. Interregional knowledge flows are industry specific and occur most often between regions located close to each other in technological space.     

Geography of Knowledge-based Collaboration in a Post-communist Country: Specific Experience or Generalized Pattern?

This article addresses the role of geographical proximity for knowledge and innovation collaboration patterns in the Czech Republic and assesses the factors which determine the spatial distribution of innovation co-operation. The article uses alternative sources of empirical data to map collaboration patterns of innovating companies, research institutes and universities and to find basic regularities. By this, the article aims to fill in the gap in current research focused rather on most advanced regions by adding new knowledge from a transformation, post-communist economy. Also, it aims to shed light on the issue of the role of proximity between actors involved in collaboration in the sphere of knowledge and innovation creation which still remains rather elusive. The findings indicate that even though co-location and intra-regional knowledge and innovation collaboration exist, it cannot be regarded as a decisive characteristic. Geographical proximity is not a crucial condition in knowledge and innovation collaboration as all actors are involved to an important degree in international linkages. Yet, the role of the specific institutional context and factors at micro-level influence the innovation co-operation pattern.