Digital Communication： The Conflicts in the Transmission and Distribution of Information in the Era of Knowledge Economy

This article analyzes the concentration of production and distribution of information, from the analysis of the news in major international news agencies.The biopolitics is more and more interconnected to social, cultural, economical, and political matters, which led us to see in the contemporary scenario the creation of new forms of social organization which will determine how we interact with each other and how we face the world. Additionally, questions emerge about the usage of the means of communication, particularly those related to Technology of Communication and Information （TICs）. The influence of the media over the social-cultural activities tends to create homogenizations of senses, aiming a planetary visibility in a process that can not only disfigure but destroy many symbolic representations and cultural forms. On the other hand, globalization tends to, instead of minimize the differences in the world, ended up creating new conflicts that, through the usage of new technologies of communication, expresses and articulate themselves.

Knowledge Economy-The Sustainable Development Economy

Reviewing evolution of natural resources utilization mode in different economic formation, the paper elaborates the meanings of knowledge economy, and points our that the cause of unsustainabte development is the acute contradiction between the taw of ecosystem and the law of economy. It also points out that the essence of sustainable development is the harmonious relation between economy and the ecosystem. Therefore. the resources allocation should be considered from the aspect of the market demand and the aspect of the supply of t he ecosystem. That is to say, firsthy, the scale and pace of economy growth must be adapted to the supply capability of the ecosystem under the current technology, Secondly, based on the supply ability of the ecosystem, we should make it clear how to make limited resources allocation attains equilibrium between market supply and demand. The paper clarifies that in the mode of knowledge economy; we may transform the way of economy growth, form optimum economy structure, change the base of resource supply, strengthen the supply capability of ecosystem expand the production-possibility frontier, and finally accomplish the eco-economy coordinated development through the innovation of institution and technology. The essence of sustainable development and the sustainable characteristics of knowledge economy that were discussed above determine that knowledge economy is an economy of sustainable development.

Information Models for Forecasting Nonlinear Economic Dynamics in the Digital Era

The aim of this study was to develop an adequate mathematical model for long-term forecasting of technological progress and economic growth in the digital age (2020-2050). In addition, the task was to develop a model for forecast calculations of labor productivity in the symbiosis of “man + intelligent machine”, where an intelligent machine (IM) is understood as a computer or robot equipped with elements of artificial intelligence (AI), as well as in the digital economy as a whole. In the course of the study, it was shown that in order to implement its goals the Schumpeter-Kondratiev innovation and cycle theory on forming long waves (LW) of economic development influenced by a powerful cluster of economic technologies engendered by industrial revolutions is most appropriate for a long-term forecasting of technological progress and economic growth. The Solow neoclassical model of economic growth, synchronized with LW, gives the opportunity to forecast economic dynamics of technologically advanced countries with a greater precision up to 30 years, the time which correlates with the continuation of LW. In the information and digital age, the key role among the main factors of growth (capital, labour and technological progress) is played by the latter. The authors have developed an information model which allows for forecasting technological progress basing on growth rates of endogenous technological information in economics. The main regimes of producing technological information, corresponding to the eras of information and digital economies, are given in the article, as well as the Lagrangians that engender them. The model is verified on the example of the 5th information LW for the US economy (1982-2018) and it has had highly accurate approximation for both technological progress and economic growth. A number of new results were obtained using the developed information models for forecasting technological progress. The forecasting trajectory of economic growth of developed countries (on the example of the USA) on the upward stage of the 6th LW (2018-2042), engendered by the digital technologies of the 4th Industrial Revolution is given. It is also demonstrated that the symbiosis of human and intelligent machine (IM) is the driving force in the digital economy, where man plays the leading role organizing effective and efficient mutual work. Authors suggest a mathematical model for calculating labour productivity in the digital economy, where the symbiosis of “human + IM” is widely used. The calculations carried out with the help of the model show: 1) the symbiosis of “human + IM” from the very beginning lets to realize the possibilities of increasing work performance in the economy with the help of digital technologies;2) the largest labour productivity is achieved in the symbiosis of “human + IM”, where man labour prevails, and the lowest labour productivity is seen where the largest part of the work is performed by IM;3) developed countries may achieve labour productivity of 3% per year by the mid-2020s, which has all the chances to stay up to the 2040s.

The Environmental Impacts of Informal Economies in China: Inverted U-shaped Relationship and Regional Variances

This paper aims to the debate on the nexus between informal economies and the environment by investigating the long-term dynamic impacts of China’s informal economies on pollution and considering regional differences in informal economies’ pollution.This paper uses the Multiple Indicators Multiple Causes(MIMIC) model to estimate the size of informal economies and employs econometric models to examine their relationships to pollution based on provincial-level panel data from 2000 to 2017. The results indicate that informal economies’ effects on environmental pollution are not purely positive or negative. Rather, our model indicates that there is an inverted U-shaped relationship between informal economies and pollution in the long run in China;this means that the level of environmental pollution increases at first and then decreases with the growth of informal economies. Further analysis shows that while this inverted, U-shaped relationship is significant in different regions of China, it is affected by different environmental impact factors. The paper concludes by discussing the policy implications for environmental protection and sustainable development.

The Knowledge Management Research of Agricultural Scientific Research Institution

Based on the perception of knowledge management from experts specializing in different fields,and experts at home and abroad,the knowledge management of agricultural scientific research institution can build new platform,offer new approach for realization of explicit or tacit knowledge,and promote resilience and innovative ability of scientific research institution.The thesis has introduced functions of knowledge management research of agricultural science.First,it can transform the tacit knowledge into explicit knowledge.Second,it can make all the scientific personnel share knowledge.Third,it is beneficial to the development of prototype system of knowledge management.Fourth,it mainly researches the realization of knowledge management system.Fifth,it can manage the external knowledge via competitive intelligence.Sixth,it can foster talents of knowledge management for agricultural scientific research institution.Seventh,it offers the decision-making service for leaders to manage scientific program.The thesis also discusses the content of knowledge management of agricultural scientific research institution as follows:production and innovation of knowledge;attainment and organizing of knowledge;dissemination and share of knowledge;management of human resources and the construction and management of infrastructure.We have put forward corresponding countermeasures to further reinforce the knowledge management research of agricultural scientific research institution.

国家高新区技术创新是否驱动了地方数字经济发展?--基于创新扩散机制的实证分析

基于2012—2020年《中国城市统计年鉴》《中国火炬统计年鉴》、北京大学企业大数据库、国泰安数据库等数据,实证检验了中国国家高新区的技术创新对其所在城市数字经济发展水平的促进作用,进一步检验了高新区技术创新扩散的具体作用机制。研究发现:国家高新区的技术创新与本地数字经济发展水平有显著的正向关系,而这种积极效果的产生机理,包括促进地方数字经济产品创新和提升企业利用数字技术水平。但机制检验模型的回归结果显示,国家高新区对数字技术应用规模的显著促进作用仅限于高新区内部,对外部企业利用数字技术的影响甚微,这意味着国家高新区对地方数字经济市场需求的拉动力比较有限。

中国数字经济研究的计量可视化分析

文章以中国知网“CSSCI”数据库中2012—2022年相关文献为样本,借助CiteSpace软件分析数字经济研究知识图谱,回顾与总结该领域的研究热点与前沿趋势,结果显示,数字经济研究有如下特点:(1)研究热点可分为数字信息技术应用与创新、数字经济赋能产业升级与企业转型、数字经济赋能政府治理、数字人才培养与数字素养提升以及数据隐私保护与数据要素价值释放五个方面;(2)研究趋势主要有三个方面,一是探究不同维度上我国数字经济与高质量发展的平衡点与协调度,二是探讨全球数字化趋势下适合我国经济发展的数字贸易模式,三是探索具有中国特色的现代高效数字协同治理体系。

数字经济赋能乡村振兴研究热点与趋势——基于CiteSpace的可视化分析

数字经济是信息通信技术应用与发展所创造的新生产物,已成为全球经济发展和社会进步的重要源动力。在国家推进“数字经济赋能乡村振兴”的大背景之下,本文采用CiteSpace软件对2000—2022年中国知网(CNKI)所收录的CSSCI来源期刊有关“数字经济赋能乡村振兴”研究505篇文献,根据研究热点、聚类变化和演进趋势等特征分别进行了关键词共现、聚类分析、时间区图和时间线图等知识图谱的绘制。结合对知识图谱的分析和文献梳理,对数字化转型背景下我国乡村领域的研究现状和研究内容、热点问题、演进脉络及研究趋势等进行了深入分析,并对数字经济赋能乡村振兴的实践提出了三点对策建议:加快乡村信息化转型,开创城乡经济融合的新格局及孵化创新乡村产业模式,以期为乡村振兴数字经济领域研究提供参考。

中国信息资源管理学科自主知识体系建构

加快构建中国特色哲学社会科学,归根结底是建构中国自主的知识体系,信息资源管理学科亟需走出一条自主知识体系建构特色之路。文章结合信息资源管理学科发展现状、时代环境和使命担当,分析其自主知识体系的建构基础和制约因素,进而提出把握关键特征、坚守建构原则、明晰建构路径的三步策略,尝试回答学科自主知识体系建构“为何必要”“以何基础”“有何挑战”“如何推进”四大关键问题,助力信息资源管理学科加快自主知识体系建构。

数字经济与实体经济融合发展研究

作为新时代经济活动的核心,数字经济通过信息通信技术的应用,正在重塑全球经济格局,并为传统产业的创新和转型提供新机遇。在此背景下,文章全面探讨了数字经济与实体经济深度融合的重要性。文章强调,数实融合不仅是构建现代化产业体系、推动经济高质量发展的重要途径,还是应对全球经济挑战、增强国家竞争力的必然选择。随着技术的不断进步和应用场景的不断拓展,数字经济将在更多领域发挥重要作用,推动实体经济实现转型升级。同时,这种融合也将促进产业间的协同发展和跨界融合,为经济发展注入新的活力和动力。因此,要充分认识到数实融合发展的重要性,加强政策引导和支持,推动数字技术与实体经济的深度融合发展。

数字经济融入档案信息化转型升级的价值定位与逻辑进路研究

本文针对数字经济发展战略下档案信息化转型升级问题,在系统梳理档案信息化发展历程基础上,对档案信息化的目标、任务和要求进行分析,提出了将数字经济融入档案信息化转型升级的框架模型,并提出目标化统筹引领、阶梯化分步实施和要素化增值驱动等档案信息化转型升级的建设思路。

数字经济与科技创新的协同效应对经济高质量发展的影响研究

当前,中国经济由高速增长阶段转向高质量发展阶段,数字经济与科技创新是促进经济高质量发展的两个重要途径。解决中国数字经济与科技创新发展存在的不平衡问题,是推动中国经济高质量发展的内在要求,而数字经济与科技创新的协同效应是否推动了中国经济朝着高质量方向发展,尚缺乏有支撑的理论和经验证据。本文立足于耦合协同的研究视角,基于2011—2020年中国省域面板数据,从理论和实证两个维度验证数字经济与科技创新的协同效应对经济高质量发展的影响路径。首先构建了测算数字经济与科技创新协同效应水平的耦合协调度模型,其次利用固定效应模型和中介效应模型实证分析了协同效应影响经济高质量发展的作用机制,最后构建反映区域间创新要素流动的空间权重矩阵考察协同效应的空间知识溢出效应。研究发现:第一,中国数字经济与科技创新的协同效应和经济高质量发展具有显著的空间集聚特征,总体上看,协同效应地区差异较大,东部地区明显优于中、西部,但这一差距在逐渐缩小。第二,协同效应明显促进了地区高质量发展水平的提升,并且其作用效力强于二者单独对经济高质量发展产生的影响,产生“1+1>2”的协同效应,已成为新科技革命时期经济高质量发展的“新引擎”,人力资本积累与产业结构优化是协同效应影响经济高质量发展的两个重要渠道。第三,数字经济与科技创新的协同效应不仅能显著提升本地区的经济发展质量,还能通过科研资本的流动,对经济关联地区的经济高质量发展水平产生显著的正向空间知识溢出效应,但科研人员的流动对关联地区的经济高质量水平产生“虹吸效应”,与科研人员的“趋利性”特点有关。本文研究为评估数字经济与科技创新协同效应的影响提供了数据支撑和分析脉络,也为探寻经济高质量发展的提升路径提供了新的政策参考。

企业数字化转型对可持续经营能力的影响研究

在数字经济迅猛发展的时代背景下,企业数字化转型是否会影响可持续经营是一个值得探讨的重要问题。本文以2011~2022年中国A股非金融类上市企业为研究对象,实证检验数字化转型对可持续经营能力的影响和作用机制。研究发现,企业数字化转型有助于提升可持续经营能力,且投资者关注发挥了明显的正向调节作用。进一步研究发现,企业数字化转型通过提高会计信息质量和全要素生产率两条路径来提升可持续经营能力。异质性检验发现,在国有企业和制度环境水平较高的地区中,数字化转型对可持续经营能力的提升作用更为明显。据此,不仅丰富了企业数字化转型经济后果的研究领域,也为企业如何提高可持续经营能力以实现高质量发展目标提供了合理可行的建议。

基于最近发展区的学科知识图谱构建及大单元设计研究

智能时代知识组织方式正发生深刻变革,学科教学亟需明确如何基于结构化知识进行整体性的大单元设计,以实现学科核心素养培养。研究提出基于最近发展区理论的学科知识发展框架,以学科知识图谱构建过程为研究对象,分析并实施学科知识图谱技术路线,提炼大单元特征提取与质量评估方法,构建出面向大单元设计的信息科技学科知识图谱。大单元设计是一体化设计思想,研究依据学科知识图谱、大单元设计关键要素和基本步骤,提出了自底向上、自顶向下两类大单元设计模式。案例实践研究表明:学科知识图谱可降低实践类知识的教学设计难度,弥补新任教师在学情分析等方面的不足,为大单元教学的设计与实施提供依据,促进结构化知识在教学的深度应用。

虚拟集聚如何影响制造业企业高质量发展?

虚拟集聚对实现制造业企业高质量发展、助力建设制造强国具有重要意义。本文界定制造业企业虚拟集聚内涵、构建虚拟集聚模型,分析虚拟集聚对制造业企业高质量发展的影响效应及机制。从虚拟集聚载体和虚拟集聚网络两个维度构建制造业企业虚拟集聚关键词,借助软件Python爬虫技术从制造业企业上市公司年报中获取,并结合中国制造业企业上市公司微观数据进行实证检验。研究结果表明,虚拟集聚能够促进制造业企业高质量发展。机制分析结果表明,虚拟集聚能够通过知识溢出、规模经济和交易成本促进制造业企业高质量发展,但虚拟集聚不能加快企业合作创新。调节效应检验结果表明,企业外部的知识产权保护在虚拟集聚促进制造业企业高质量发展的过程中起正向调节作用,而这种正向影响不受企业技术密集度的影响。异质性分析结果表明,虚拟集聚对小型制造业企业、东部和中部制造业企业高质量发展的提升作用更强,而对不同成长周期企业的高质量发展的影响无明显差异。本文研究结论不仅有助于丰富制造业企业虚拟集聚及其影响企业高质量发展的理论研究,且在提高制造业企业虚拟集聚水平方面提供了政策启示。

海洋金融政策与涉海企业融资约束:谁能从中获益?

海洋金融政策作为推动海洋经济高质量发展的关键手段备受关注,其对涉海企业成长的实质性影响及异质性效应亟待探究。以《关于改进和加强海洋经济发展金融服务的指导意见》的实施为准自然实验,基于2010—2022年中国沿海省份上市企业数据,采用双重差分法评估政策实施效果。结果显示:海洋金融政策的实施显著缓解了涉海企业融资约束,尤其在企业国有资本比例较高的情况下,政策效应更为显著。进一步研究发现,该政策影响差异性的主要作用机制在于信息不对称,而非政治关联或是资产可抵押性。因此,应继续优化金融服务,精准地差异化支持不同类型涉海企业,推进涉海企业信息披露,发挥海洋金融政策在缓解涉海企业融资约束方面的作用。

数字经济对区域经济高质量发展的影响研究

作为一种新型经济形态,数字经济已成为区域经济高质量发展的新动力。本文围绕我国区域经济发展现状,对数字经济进行了概念、发展历程、特征的概述,阐述了数字经济对区域经济高质量发展的两条作用机理,详细分析了产生的具体影响,提出了促进经济高质量发展的解决策略。

智慧城市建设对经济绿色转型的影响效应——基于双重机器学习的因果推断

文章基于2007—2021年中国280个地级及以上城市的面板数据,利用国家智慧城市试点政策作为准自然实验,运用双重机器学习模型识别智慧城市建设对城市经济绿色转型的影响及传导路径。研究发现:智慧城市建设显著促进城市经济绿色转型,且智慧城市建设自试点以来对城市经济绿色转型的影响效应大致呈现逐渐增强的趋势;提高信息化发展水平、缓解资源错配以及促进产业结构转型升级是智慧城市建设促进城市经济绿色转型的重要传导机制;智慧城市建设对城市经济绿色转型的促进效应在东中部地区、大中规模城市以及传统基础设施水平较高的地区更为明显。

图书情报学交叉学科知识流入的影响研究

为揭示图书情报交叉学科知识流入的途径和影响因素,以图书情报学为背景,通过理论分析等方法进行研究。研究发现:图书情报学不仅受到学科内部动力的驱动,更受到其他学科知识、理论和方法的影响;学科发展的驱动力、学科间的关联性和知识流动的社会文化因素是影响图书情报学交叉学科知识流入的重要因素。针对这些发现,以期能够揭示学科间知识流入的复杂性和动态性、知识流入对图书情报学发展的重要作用,以及对理解图书情报学的学科发展提供新的视角和理论基础。

中国数字经济对高质量发展影响的研究热点与趋势——基于科学知识图谱分析

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