Stock market reactions to monetary policy surprises under uncertainty

This article investigates how uncertainty impacts the effect of monetary policy surprises on stock returns. Using high-frequency US data, we demonstrate that stock markets respond more aggressively to monetary policy surprises during periods of high uncertainty. We also show that uncertainty asymmetrically influences the transmission of positive and negative monetary policy surprises to stock market prices. The amplifying effect of uncertainty is found to be stronger for expansionary shocks than for contractionary shocks. Our robustness analysis confirms that financial uncertainty has a significant role in shaping the influence of monetary policy on the stock market.     

基于区块链技术的建筑材料供应链质量数据安全共享方法

传统方法在建筑材料供应链质量数据安全共享中应用效果不佳，不仅数据误码率比较高，而且数据共享时延比较长，无法达到预期的数据安全共享效果。为此提出基于区块链技术的建筑材料供应链质量数据安全共享方法。利用区块链技术对建筑材料供应链质量数据属性加密，建立建筑材料供应链质量数据安全共享链，整合建筑材料供应链质量数据加密、解密程序，通过对用户身份验证实现对质量数据安全共享，以此完成基于区块链技术的建筑材料供应链质量数据安全共享。实验证明，设计方法的数据误码率在1%以内，数据共享时延在1s以内，具有良好的数据安全共享效果。     

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。     

利用大数据分析技术的智能化网络故障诊断系统

随着网络技术的快速发展以及各种新网络业务的出现，网络的规模日益扩大和复杂。同时，各种网络服务对于网络可靠性的要求也逐渐提高，这就对网络的维护提出了更高的要求。在这种情况下，传统的网络维护模式逐渐不能适应现代网络发展的需求。针对现代大型网络的故障诊断问题，利用大数据分析技术，设计并完成了一套整体的智能化故障诊断系统。在此系统中，针对不同的故障类型，利用能够获取到的数据类型，针对性地设计了相关的故障诊断模块和算法。系统整体基于开源的数据处理平台构建，具备良好的可扩展性。通过实际案例数据的验证，结果表明此系统具备良好的处理实际网络故障的能力，将大数据分析技术应用于网络故障诊断领域也具备较强的可行性。     

Measuring Farm and Market Level Economic Impacts of Improved Maize Production Technologies in Ethiopia: Evidence from Panel Data

While it is often recognised that agricultural technology adoption decisions are intertwined and best characterised by multivariate models, typical approaches to examining adoption and impacts of agricultural technology have focused on single technology adoption choice and ignored interdependence among technologies. We examine farm‐ and market‐level impacts of multiple technology adoption choices using comprehensive household survey data collected in 2010/11 and 2012/13 in Ethiopia. Economic surplus analysis combined with panel data switching endogenous regression models are used to compute the supply shift parameter (K‐shift parameter), while at the same time controlling for the endogeneity inherent in agricultural technology adoption among farmers. We find that our improved technology set choices have significant impacts on farm‐level maize yield and maize production costs, where the greatest effect appears to be generated when various technologies are combined. The change in maize yield and production costs results in an average 26.4% cost reduction per kilogram of maize output (the K‐shift parameter). This increases the producer and consumer surpluses by US$ 140 and US$ 105 million per annum, respectively. These changes in economic surplus help to reduce the number of poor people by an estimated 788 thousand per year. We conclude that deliberate extension efforts and other policies that encourage integration of technologies are important for maize technologies to yield their full potential at both farm and market levels.     

Industry risk transmission channels and the spillover effects of specific determinants in China’s stock market: A spatial econometrics approach

This paper uses a spatial econometrics approach to study the industry risks in China’s stock market. We comprehensively consider the real linkage and information risk transmission channels and analyze the risk spillovers of specific determinants. Our empirical results show the following: 1) The real linkage channel and information channel are both effective transmission channels for driving spillover effects, and the information channel is of the utmost importance. 2) The spillover effects of specific determinants exist and are persistent. The superposition of spillover effects may lead to extreme risk. 3) The transmission channels and spillover effects are asymmetric in different regimes.     

Semiparametric time series regression modeling with a diverging number of parameters

Variable selection and error structure determination of a partially linear model with time series errors are important issues. In this paper, we investigate the regression coefficient and autoregressive order shrinkage and selection via the smoothly clipped absolute deviation penalty for a partially linear model with a divergent number of covariates and finite order autoregressive time series errors. Both consistency and asymptotic normality of the proposed penalized estimators are derived. The oracle property of the resultant estimators is proved. Simulation studies are carried out to assess the finite‐sample performance of the proposed procedure. A real data analysis is made to illustrate the usefulness of the proposed procedure as well.     

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.