西部地区财政科技支出的经济增长效应

科学技术是第一生产力，科技投入无论是在推动经济增长还是促进社会发展方面，都有着举足轻重的重要作用。通过协整检验、格兰杰因果检验等方法，研究2006年-2020年西部地区财政科技支出对区域经济增长的作用。实证结果表明，西部地区的财政科技支出与经济增长之间存在着长期的均衡关系。因此，应进一步加大及合理安排政府财政科技资金的投入，加强资金监管，提高资金使用效率，更好地促进经济发展与社会进步。     

中国土地信息学30年发展研究

研究目的:明确土地信息学核心研究内容和学科地位,系统总结1980—2017年中国土地信息学研究的重要进展,划分土地信息学发展的主要阶段及各个阶段重要成果,指出土地信息学未来研究的方向和重点。研究方法:理论归纳法和文献计量法。研究结果:土地信息学是以权籍为核心、土地信息为对象,研究土地信息获取、分析、处理、存储与表达的理论、方法与技术的一门学科,服务于土地调查、评价、规划、利用、整治和保护等信息共享与决策支持。中国土地信息学发展可划分为起步阶段(1980—1995年)、关键技术应用阶段(1996—2006年)与稳步加速发展阶段(2007—2017年)三个阶段。研究结论:未来土地信息学应树立大权籍观,围绕权籍信息采集、管理、分析、表达、安全、标准等问题,研究快速、高效、精准的多元土地信息获取技术;研究土地信息的标准化、安全组织、数据交换和共享管理机制和技术;开展土地信息数据的深度挖掘分析、综合表达、集成应用技术,以及大数据、云计算、人工智能在土地信息学中的应用技术等。     

Tourism as a discipline in light of the non-classical sociology of science

Embedding the issue of the recognition of tourism by the academia in the context of the scientific identity of the researchers of tourism can bring valuable insights into the debate. Moreover, such an approach is aligned with the main assumptions of social constructionism and the non-classical sociology of science (knowledge) stemming from the paradigm theory of science formulated by Kuhn. These concepts served as the foundations for the present research, allowing for the formulation of its main hypothesis: that every academic community has the right to decide whether it accepts tourism as a separate academic discipline or not, and that there is no reason why any opinion on this matter should be imposed on everyone. Another useful piece of information can be gained by adopting an epistemological perspective in the form of the questions: will separating tourism from other disciplines make it possible for us to learn more about it? Or should we continue considering it through the prisms of other disciplines? These were the premises which drove both parts of the present research: literature query and empirical study (which featured results from researchers from all around the world), and were addressed in the conclusion.     

The Neutrality Illusion: Biased Economics,Biased Training,and Biased Monetary Policy. Testing the Role of Ideology on FOMC Voting Behaviour

This research is trying to shed light on two myths that are usually widespread: the first one being the idea of the academic economist as a neutral scientist finding uncontestable consensual truths, thanks to uncontestable empirical methods, the second, the idea of the central banker as a Weberian neutral bureaucrat setting aside personal beliefs to act mechanically for the common good. Deconstructing this ‘neutrality illusion’, this work argues that economics is actually a divided and ideologically marked discipline despite its aim at natural-science-type-legitimacy. It argues in a related discussion that such ideological bias also impedes a purely neutral conduct of monetary policy, undermining the very idea of central bank independence. Linking these two arguments, it argues that graduate training in economics is the first place for the formation of biased preferences, because of the substantial ideological sorting that exists across universities. Using a unique database on FOMC members’ votes and ideology, the paper tests this idea empirically and despite unavoidable caveats, finds robust evidence of a systematic impact of the ideological features of their alma mater on FOMC members’ voting behaviour – impact that we found more important than the other traditional determinants of central bankers’ actions.     

Microfoundations of companies' dynamic capabilities for environmentally sustainable innovation: Case study insights from high‐tech innovation in science‐based companies

To achieve sustainable development, companies are increasingly putting an emphasis on the creation and the promotion of environmentally sustainable innovations. Environmentally sustainable innovation often involves a significant shift in a new strategic direction. This paper studies this shift from a dynamic capabilities perspective and aims to identify the microfoundations of science‐based companies' dynamic capabilities for high‐tech environmentally sustainable innovations. It investigates the development of high‐tech environmentally sustainable innovations in two distinctive science‐based companies. To scholars, this study provides an in‐depth process analysis, over time, of how and why microfoundations of dynamic capabilities influence the development of a science‐based company's high‐tech environmentally sustainable innovations. To practitioners in science‐based firms, this process study can function as a frame of reference, enabling the tailoring of a strategy for high‐tech environmentally sustainable innovation.     

Why Distinguish Between Statistics and Mathematical Statistics–The Case of Swedish Academia

A separation between the academic subjects statistics and mathematical statistics has existed in Sweden almost as long as there have been statistics professors. The same distinction has not been maintained in other countries. Why has it been kept for so long in Sweden, and what consequences may it have had? In May 2015, it was 100 years since Mathematical Statistics was formally established as an academic discipline at a Swedish university where Statistics had existed since the turn of the century. We give an account of the debate in Lund and elsewhere about this division during the first decades after 1900 and present two of its leading personalities. The Lund University astronomer (and mathematical statistician) C. V. L. Charlier was a leading proponent for a position in mathematical statistics at the university. Charlier's adversary in the debate was Pontus Fahlbeck, professor in political science and statistics, who reserved the word statistics for ‘statistics as a social science’. Charlier not only secured the first academic position in Sweden in mathematical statistics for his former PhD student Sven Wicksell but also demonstrated that a mathematical statistician can be influential in matters of state, finance as well as in different natural sciences. Fahlbeck saw mathematical statistics as a set of tools that sometimes could be useful in his brand of statistics. After a summary of the organisational, educational and scientific growth of the statistical sciences in Sweden that has taken place during the last 50 years, we discuss what effects the Charlier–Fahlbeck divergence might have had on this development.     

Challenges for regional science research: past and present

With regional science now into its seventh decade, it is timely to step back and look at what regional science is about, the past challenges it has faced, particularly its relevance, and to identify some of the challenges it has confronted in the past and at present. The paper demonstrates regional science research has had, and continues to have, policy relevance, as well as being relevant for business, and has addressed important issues. It provides an overview of recent commentaries on issues regional scientists might now be addressing.     

徐州市科技创新能力综合评价及应用研究

从科技创新投入、科技创新产出、科技创新环境支撑和科技促进可持续发展等4个方面,在26个备选具体指标的基础上,通过反复测试检验,最终选取14个具体指标,建立科技创新评价模型,对淮海经济区核心区城市和江苏省十三市的科技创新能力予以定量评价,并进行横向比较分析。最后从科技创新投入、成果转化等七个方面对徐州市提高科技创新能力给出了建设性建议。     

Defining Supply Chain Management: In the Past,Present, and Future

The article titled “Defining Supply Chain Management” published in 2001 in the Journal of Business Logistics has been cited over 4,900 times in the last 17 years. In this paper, we first provide a historical review of how the article originated and the contributions the article made to both the theory and practice of supply chain management (SCM). Next, we highlight the key market and technological changes that have emerged in SCM followed by how the theory proposed in the 2001 article can still be relevant to support SCM research and practice going forward. We also propose ways of configuring a supply chain and partnering across companies to serve customers in an optimal way. We conclude with a call for research on developing new frameworks to better describe, explain, predict, and shed light on the evolving nature of SCM.     

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。