Evolution Characteristics of Government-Industry-University-Research Cooperative Innovation Network for China’s Agriculture and Influencing Factors: Illustrated According to Agricultural Patent Case

Under the special background of China, the cooperative innovation between different government-industry-university-research institutes plays an increasingly important role in the agricultural field. However, the existing literature has paid little attention to it. Considering the cooperation patents, published in the agriculture field stemming from the Full-text Database of China Patents as the study object, the spatial and institutional attribute of the authors as the data source, and by combining the social network and spatial econometrics analysis, this paper analyzes the structure evolution characteristics of cooperative innovation networks of agricultural government-industry-university-research institute in the city level of China in 1985–2014, based on the triple helix theory, with the influence factors discussed. This shows that, 1) since 1985, China's agricultural innovation level has been substantially increased, but the development degree of the cooperative innovation network is low, and the patent cooperation mainly relies on authors in the same unit; 2) enterprises play a leading role in the agricultural cooperative innovation. The effect of the government and hybrid organizations driven by the government is not obvious; 3) the cooperative innovation in the province and city dominates, and a multi-pole pattern has been formed. The cooperative innovation network structure evolves from a single helix empty core and double helix multi core to a double helix hierarchical network; 4) the city's science, education funding and personnel investment are key factors determining the agricultural cooperative innovation, while the agricultural development of the city presents slight negative impacts on it. The spatial mismatch of supply and demand is present in the technical cooperative innovation of China's agriculture. Therefore, the science enhancement and education investment to big agricultural provinces should be promptly implemented.     

西部大开发与西部企业技术创新主体地位

"西部大开发"对提高西部企业的技术创新能力有十分重要的作用,这就涉及到两个关系:企业与政府,西部企业与东部企业.考虑到西部的现状,要保证西部企业在技术创新活动中的主体地位,西部企业应将技术创新的重点放在区域特色产品、资源型产业、旅游业、农林畜牧业等优势产业上.而政府也应推行与之相配套的政策,以保证西部企业在技术创新活动中的主体地位.     

辽宁省矿产资源产业发展战略之思考

建国以来,以矿产资源为依托辽宁省建立了国内首屈一指的重工业基地。矿业在辽宁经济中发挥着重要的作用。本世纪末,辽宁矿业面临了一系列的困难,诸如资源匮乏、开采难度加大等等,但同时也面临经济增长、对外开放等发展机遇。依据辽宁省的基本省情,在新世纪应继续将矿产资源产业作为主导产业,在政策上给予大力度的倾斜。其主要措施是加大资源勘查投入,将现有产业组织进行重组,加大对外开放力度,用高科技改造传统产业,在辽宁东部山区建立矿产资源经济特区。     

Spatial Organization of Innovation in the Oil Equipment Manufacturing Industry: Case of Dongying,China

As innovation and technological change have become increasingly important for the competitiveness and sustainable growth of firms, cooperative innovation is now crucial for traditional industries in the context of globalization. This paper proposes a framework for analyzing the spatial pattern of cooperative innovation for traditional industries in developing countries. Based on in-depth interviews with 35 firms in the oil equipment manufacturing industry in Dongying City, China, this study argues that different firms in the innovation pyramid have various innovation activity preferences and spatial patterns. Firms with high innovation abilities tend to cooperate with various partners that are geographically dispersed and continuously expanding, while firms with inferior abilities usually cooperate with nearby fixed partners. Due to the differences in innovation environment and actor locations, firms tend to make different choices regarding innovation types and models, which highlight the importance of personnel training and basic scientific research at the global scale and practical product research and development at the national scale. Additionally, talent flow is the most important way to realize relationships for firm innovation activity.     

新型基础测绘思考与实践——以山东省为例

随着社会进步和科技发展,测绘与地理信息行业与互联网+、物联网技术的不断融合,对传统基础测绘提出了新的要求。该文首先介绍了《全国基础测绘中长期规划纲要(2015-2030年)》中新型基础测绘的内涵、发展目标和主要任务,分析了传统基础测绘向新型基础测绘转型升级的必要性,提炼了新型基础测绘的主要特点和需突破的关键技术,然后以山东省新型基础测绘发展为例,介绍了山东省新型基础测绘实践过程中的技术创新、管理创新和取得的成果。结果表明,新型基础测绘是新常态下转型发展、按需测绘的必然趋势,是更广泛应用于政府部门、科研机构统筹规划、宏观分析的必然要求,能够为政府从量化决策向大数据决策转变等提供有力的技术支撑和可靠依据。     

关于“数字城市”的初步研究

 在研究数字城市体系框架和数字城市工程总体设计的基础上,讨论数字城市基础信息平台,以及电子商务、电子政务、智能交通、智能社区、安全保障、科技教育、文化娱乐和信息服务等职能;探讨数字城市工程的数据获取与更新、数据库、网络、行业信息工程和数据标准等体系     

关于发展辽宁矿产资源综合利用、精深加工的思考

发展矿产资源的综合利用、精深加工是矿产资源有效保护、合理利用、可持续发展和矿业产业结构战略性调整中的一项重要任务。针对辽宁省矿产资源综合利用、精深加工的现状及面临的问题，本文提出应制定相应的法律，依法保障矿产资源利用、精深加工；定期发布辽宁省《矿产资源精深加工、综合利用目录》，公布鼓励开发生产的产品；制定配套的矿业政策；开展政府网络信息服务；建立基金制度；提高技术水平并引进技术；有关部门应重视、支持、配合，这样才能最终实现矿产资源和矿业经济的整体性可持续发展。     

我国地理信息产业发展特征

本文通过相关文献和数据收集,从政策、市场、企业、产品等方面,对我国地理信息产业发展现状与特征进行了简单综述。我国地理信息产业正处在诞生阶段,市场规模较小,但发展迅速,潜力巨大。在产业结构和区域布局上,地理信息产业发展不平衡。数据产业已成为产业发展的瓶颈,软件产业和地理信息集成服务极具发展潜力。从产业发展的主导因素看,政府在地理信息产业发展中起着关键作用;从产业发展的推动力来看,地理信息技术储备不足,亟待创新。     

中国科技型初创企业的时空格局及影响因素研究——基于创业生态系统视角

创新驱动战略的深入推进促使创业型经济繁荣发展,科技型初创企业日益成为促进中国科技进步和经济高质量发展的决定性力量。本文基于2015—2020年中国科技型初创企业数据,运用泰尔指数、核密度估计等方法解析了科技型初创企业的时空格局,并利用OLS模型与SARAR模型定量识别了科技型初创企业分布的影响因素。研究发现:(1)从时间序列来看,2015—2020年中国科技型初创企业的数量快速增长,但是在城市体系的分布呈现持续的层级结构特征;(2)从空间格局看,中国科技型初创企业呈现出以长江三角洲、珠江三角洲为主要核心,京津冀为次要核心的多核心分布模式,创业热点从三大核心扩张到更多地区,东中西三大地带的不平衡性日益增强;(3)风险投资、知识厚度、人力资本、市场规模、孵化环境和政策环境对城市科技型初创企业的发展具有积极影响,创业生态系统的影响也表现出空间依赖性和空间异质性特征,而且不同影响因素的作用强度和相对重要性在不同发展阶段存在差异。未来应重视高质量科技创业生态系统建设,因地制宜地选择适合本地科技型初创企业发展的驱动路径。     

信息技术发展对GIS产业的影响分析

在分析信息技术对GIS产业影响机制及发展趋势的基础上,分析了其对GIS产业的影响。认为网络化将会给 GIS产业发展带来多方面的深刻影响,信息技术已成为GIS产业技术发展的重要创新因素,GIS产业将朝着综合化和多样化方向发展。     

闽南金三角地区经济增长与产业重心的时空演变

闽南金三角地区已成为中国东南沿海重要的经济增长高地。然而,在同城化背景下,该地区的城市空间重组、区域协调等问题凸显,严重制约了区域可持续发展。本文运用重心模型揭示了2000-2012年闽南金三角经济增长以及三次产业重心迁移的时空演变特征与规律,并用Nich指数进一步分析三次产业差异。结果表明:(1)闽南金三角地区极化发展现象突出,2000年以来地区经济增长重心与二、三产业重心高度集聚于厦门市东北部,且东西向极化现象较明显;(2)厦、泉两地经济增长博弈激烈,2008年后第三产业开始回迁,且其对经济增长有一定的牵引效应,地区间第二产业非均衡性发展有所收敛;(3)第一产业重心往西南地区迁移的直线型态势显著,漳州市二、三产业发展均滞后于厦、泉地区。     

测绘地理信息科技创新促进经济发展探索研究

科技创新是当前测绘地理信息行业可持续发展的核心动力,测绘地理信息科技创新投入能力和产出能力是影响测绘地理信息行业经济竞争力的主要因素。通过对我国测绘地理信息科技创新和经济发展相关概念进行研究,设计出了科技创新投入、产出能力和经济发展的相互关系模型。以2011~2015年测绘资质单位相关数据为样本,采用相关分析、熵权和线性回归分析方法进行实证,得出测绘地理信息行业科技创新投入、产出促进了经济发展,科技创新投入和产出在此过程中得到相互促进。     

GIS技术创新模式与其战略实施方法

实施GIS技术创新战略,不仅能够更好地满足人们对地理信息的需求,而且能够使地理信息产业发展壮大。本文首先分析了GIS技术创新的三种模式,即技术推动型、需求拉动型、混合型,认为引入其他技术、应用的深入是促进GIS技术创新的主要原因。然后,提出了GIS企业技术创新战略实施方法,如在GIS技术研发过程中充分吸收新的科技成果;了解GIS市场,掌握用户实际需求,定好自己的位置;与用户单位、科研单位、其他GIS企业、社会各界广泛开展合作,完善GIS技术创新激励机制。最后论述了政府在GIS技术创新战略实施中的作用,如大力支持GIS基础研究,培养创新型GIS技术人才;为中小GIS企业搭建技术创新信息平台;为GIS技术创新活动创造良好的环境。     

面向电子政务的空间信息资源共享平台的设计与实现

本文综合分析了电子政务的发展现状,为解决目前电子政务建设中的“信息孤岛”问题,结合以“数字城市”为代表的整合阶段的特点,以提供数据互操作和功能互操作为出发点,提出了一种以空间元数据为核心,采用XML描述元数据标准和Web服务的架构模式,搭建面向电子政务的空间信息资源共享平台,为电子政务信息资源的整合提供统一标准和空间基准框架,并结合“数字合肥”的空间信息共享交换平台建设实践,证明了该模式的可行性。     

长江中游航运中心产业发展适宜性研究

随着长江经济带上升为国家战略和《长江经济带创新驱动产业转型升级方案》的出台,武汉确立为国家级航运中心地位,五大重点领域产业集群四个以武汉为核心,产业发展作为最基础的要素,越来越受到广泛关注。本文结合长江经济带发展战略,以长江中游武汉段为研究区域,基于地理国情普查数据、监测数据和网络大数据,对两期的武汉特色产业信息进行提取和叠加,利用构建的产业发展适宜性分析模型开展了两期产业适宜性情况以及其变化分析,在此基础上提出武汉产业发展的适宜性结果和建议。     

Spatial pattern and influencing factor of county-level industrial development in Liaoning Province of China

County-level industrial development and structure upgrade is one of the most important issues of revitalizing old industrial base of China. After the cluster analysis on GDP per capita and GDP per area of each county in Liaoning Province, this paper finds the similarity of population size, land use intensity, and economic development of each county. Location quotient reflects the specialization intensity of industries in each county, and it also reflects the spatial differences of county-level industrial development. Economic development level is higher in the southeast than in the northwest of Liaoning, and the industry driving effect on county-level economy is apparent. The main influencing factors include location, industrial foundation and economic system reform, capital input level, knowledge and technology dissemination, conditions of domestic and overseas markets, population and labor force transfer. Industrialization is an important approach to urbanization for the counties in Liaoning Province. The proportion of agriculture is much higher in the northwest than in the southeast of Liaoning, so it will be take longer time for counties in the northwest of Liaoning to make industrialization, urbanization and modernization.     

Spatio-temporal dynamic of quality of life of residents,Northeast China

Quality of life(QOL) is a hotspot issue that has attracted increasing attention from the Chinese Government and scholars, it is also a vital issue that should be addressed during the cause of ′establishing overall well-off society′. Northeast China is one of the most import old industrial bases in China, however, the industrial structure of heavy chemical industry and the development mode of ′production first, living last′ have leaded to series of social problems, which have also become a serious bottleneck to social stability and economic sustainable development. Through applying the methods of BP neural network, exploratory spatial data analysis(ESDA) and spatial regression model, this paper examines the space-time dynamics of QOL of the residents in Northeast China. We first investigate the indexes of QOL of the residents and then use ESDA methods to visualize its space-time relationship. We have found a spatial agglomeration of QOL of the residents in middle-southern Liaoning Province, central Jilin Province and Harbin-Qiqihar-Daqing area of Heilongjiang Province. Two third of the counties are low-low spatial correlation, and the correlative type of about 60% of the prefecture level areas keeps stable, indicating QOL of the residents in Northeast China shows a certain character of path dependence or spatial locked. We have also found that economic strength and development levels of service industry have positive and obvious effect on QOL of the residents, while the effect of such indexes as the social service level and the proportion of the tertiary industries are less.     

THE INDUSTRIAL STRUCTURE AND DISTRIBUTION OF THE BOHAI-YELLOW SEA RIMLAND OF CHINA IN THE 1990S

The Bohai-Yellow Sea Rimland (BYSR) is situated along the coast of theBohai Sea and the Yellow Sea in the northeast of China, covering Liaoning, Hebei, and Shandong provinces, and Tianjin and Beijing municipalities. It has a land area of 491,000 square kilometers, 5.1 percent of the country's total, and a population of 196 million, 17.9 percent of the total. Theregion is not only the political and cultural center, but also the most important economic center in North China. This paper analyses current status and major problems of industrial structure and distribution of BYSR. According to the national plan, the main goal in the coming decade is: by constantly improving economic structure, economic quality and efficiency, to double the gross national product(GNP), and to raise living standards to a satisfactory level. To realize this goal, agriculture, energy, transportation, some important raw material of industries, and infrastructure should be strengthened, and the engineering industry be improved to c     

建立信息产业统计学的若干基本问题探讨

发展信息产业,需要对信息产业的现状及其未来发展趋势有清晰的认识,需要设置统一的统计指标体系和分析方法,建立信息产业统计学.论述了建立信息产业统计若干基本理论问题.     

非首都功能疏解背景下北京市人口空间分布形态模拟

本文以北京市2005年和2010年公里网格人口分布数据为基础,运用CA-Markov模型模拟了北京市2015、2020、2025和2030年4期公里网格人口分布数据集;应用街道尺度的人口数据对模拟精度进行了验证;在模型可靠性良好的基础上,从产业疏解推动人口疏解的角度出发,结合北京市各街道各产业从业人口数据、产业疏解方向和中心城区人口疏解目标,确定了北京市各街道人口疏解的权重,并由此预测了2020年北京市中心城区人口疏解15%后的人口空间分布情况。研究表明： ① 2005-2010年,北京市约90%的公里网格人口密度等级为1级,集中在密云区、怀柔区、延庆区和房山区,而人口密度在10级以上的区域集中在西城区和东城区;② 在无人口疏解政策影响下,2015-2030年北京市公里网格人口分布呈现出低人口密度区域减少、中高人口密度区域增加的态势;③ 在人口疏解政策影响下,至2020年,中心城区人口分布从集中于中高密度等级转向集中于中低人口密度等级。中心城区最高人口密度等级的数值呈下降态势,并且高人口密度等级的区域占比也呈下降态势。除东城区外,其余5个中心城区的人口集中于人口密度等级为5-8级的区域。本文的研究成果可为人口管理、资源配置和政策制定提供科学参考。