Political forecast cycles

A moral hazard model is used to show why overly optimistic revenue forecasts prior to elections can be optimal: Opportunistic governments can increase spending and appear more competent; ex post deficits emerge in election years, thereby producing political forecast cycles – as also found for US states in the empirical literature. Additionally, we obtain three theoretical results which are tested with panel data for Portuguese municipalities. The extent of manipulations is reduced when (i) the winning margin is expected to widen; (ii) the incumbent is not re-running; and/or (iii) the share of informed voters (proxied by education) goes up.     

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。     

Adverse effect of social media on generation Z user's behavior: Government information support as a moderating variable

Social media emerged as a primary source of information among young users, but its severe effect on mental state due to information overload, still an area of concern for the researchers. Generation Z users' addiction to the mobile phone/gadgets is increasing with a rise in social media and consequently their behavioral outcomes have transformed completely. Nowadays behavioral issues including stress, fatigue, ‘fear of missing out’ and ‘phubbing’, anxiety etc. rising each day but the relationship among these issues and information overload is less examined. The social media users are unable to filter the trustworthy information due to its enormous size and thus role of information support from government becomes essential. The current study extends the S-O-R theory exploring relationship between the stimulus of enormous information on the responses generated among the Generation Z such as social media fatigue, ‘fear of missing out’, ‘phubbing’ and anxiety. The findings from a sample of 319 users belonging to Generation Z suggest that social media platforms need to understand user's compulsive usage that is resulting into fatigue and consequently anxiety. The role of government information support on reducing fatigue and anxiety is found to be positive. The relationship between ‘fear of missing out’, ‘phubbing’ and anxiety is found significant and shows presence of partial mediation. The study offers significant theoretical and practical implications. It is significant for the service providers and social media platforms to advance interfaces with minimum fatigue for the users and offers information support to the users to reduce stress caused by information load.     

Unconventional monetary policy announcements and information shocks in the U.S.

We study unconventional policy shocks and information shocks associated with central bank announcements in the U.S. While unconventional policy shocks capture the direct influence of announced monetary policy actions, information shocks are associated with central bank information conveyed with the announcement. To disentangle these two types of shocks, we impose sign restrictions on high frequency changes in interest rates and stock prices around announcements. We find that information shocks lead to persistent declines in the 10-year government bond yield, whereas the actual unconventional policy shock induces only small interest rate responses. We also find that expansionary output effects of unconventional monetary policy are to some extent counteracted by the information shock.     

Does china income FSDs follow Benford? A comparison between Chinese income first significant digit distribution with Benford distribution

Since Benford’s law is an empirical phenomenon that occurs in a range of data sets, this raises the question as to whether or not the same thing might be true in terms of the Chinese income distribution data. We focus on the first significant digit (FSD) distribution of Chinese micro income data from the 2005 Inter-Census sample, which corresponds to 1% of Chinese population and other micro income data from the China family panel studies (CFPS) and Chinese General Social Survey (CGSS). We use information theoretic-entropy based methods to investigate the degree to which Benford’s FSD law is consistent with the FSD of Chinese income data and our findings suggest consistency between the Chinese FSD income distribution and Benford’s distribution. The close connection between the two distributions has implications for the quality of the sample of Chinese micro data.     

Understanding sustainable development flexibility: An information perspective

Although flexibility has been considered critical in responding to uncertainty in a business environment, few studies have explored firms' flexibility in sustainable development. To understand the nature of firms that can respond better to uncertainty in their sustainable development practices, this study defines sustainable development flexibility and investigates the mechanism underlying its formation. The study proposes a conceptual framework on the interactions of managers' environmental attitude and cognitive style, as well as firms' information integration on sustainable development flexibility. A questionnaire survey was developed to test the corresponding hypotheses, and 241 valid responses were received from middle- and top-level managers in Chinese firms. The results show that (a) the higher the manager's environmental attitude, the higher the firm's information integration and greater sustainable supply chain flexibility, and (b) the more intuitive the manager's cognitive style, the greater the impact of environmental attitude on sustainable development flexibility.     

劳动力价格、信息不对称与农户精细管理技术投入——基于质量识别能力差异的视角

近年来,劳动力价格的快速上涨已然成为中国农业生产所必须面对的内在挑战。对于机械作业难度相对较大的劳动密集型作物而言,在缓解劳动力约束瓶颈的同时,更应通过精细化的果园管理,以提高产品质量,进而提高其市场价格。然而,由于农产品具有典型的经验品属性,在信息不对称的外部约束下,农户通常难以获得应有的"质量溢价"。基于此,本文通过构建理论分析框架,以果品质量关键环节的精细管理技术作为研究对象,系统分析在劳动力价格上涨背景下农户精细管理技术投入的决策机制,以及在不同农产品质量识别程度中,劳动力成本变化对其影响的异质性,并基于全国18个省份农户的调研数据进行实证研究。研究结果表明:农户交易对象质量识别能力的提高,能够缓解农户与购买者之间存在的信息不对称性,将农产品质量信息传递给购买者,使农户获得更高的销售价格,进而在有效提高农户精细管理技术投入水平的同时,能够弱化劳动力价格对其所产生的负面影响。     

突破性技术创新研究:现状与展望——基于SSCI和CSSCI期刊的文献计量分析

突破性技术创新是中国落实创新驱动、绿色发展、提升关键核心技术创新能力等多个国家战略的重要路径。本文采用文献计量方法和知识图谱工具,以2001—2018年发表于SSCI和CSSCI期刊的765篇文献为研究样本,从多个视角系统揭示国内外突破性技术创新研究的现状,并对未来研究方向进行展望。主要研究结论是:近18年国内外突破性技术创新研究发文量总体呈逐年上升趋势,国内研究与国外相比起步较晚且持续热度较低、对外合作研究较少且国际影响力不足;突破性技术创新研究遵循的理论基础主要是社会网络理论、动态资源管理理论和组织学习理论;突破性技术创新研究的热点主要集中于技术、组织、资源和财务四个方面,与市场发展问题相关的研究是薄弱环节。进一步从创新主体、创新变轨、研究层次和研究主题四个方面归纳了突破性技术创新研究热点的演化规律和存在问题。突破性技术创新的市场风险、跨国合作战略、大数据赋能和绿色导向会成为未来突破性技术创新研究的主攻方向。     

Robust multivariate analysis for mixed-type data: Novel algorithm and its practical application in socio-economic research

We propose a novel method and algorithm for the analysis and clustering of mixed-type data using a hierarchical approach based on Forward Search. In our procedure, the identification of groups is based on the identification of similar trajectories and then linked to very intuitive two-dimensional maps. The proposed algorithm can use different measures for the calculation of distance in the case of mixed-type data, such as Gower’s metric and Related metric scaling. A key feature of our algorithm is its ability to discard redundant information from a given set of variables. The practical usefulness of the algorithm is illustrated through two applications of high relevance for empirical economic research. The first one focuses on comparing different indicators of environmental policy stringency in different countries. The second one applies our procedure to identify clusters of countries based on information regarding their institutional characteristics.     

Balancing risk with virtual private networking during a pandemic

When the pandemic struck and teaching went online worldwide, universities had to make pressing decisions that balanced cybersecurity against other factors, including health and safety, usability, and cost. One such challenge Indiana University (IU) faced was how to accommodate the secure telecommunications needs of 130,000 faculty, staff, and students who would now be teaching, learning, doing research, and working from home. Some universities reflexively promoted virtual private network (VPN) use for all activities. Such an approach would have been unsustainable at IU, however, owing both to the licenses and resources needed for the sheer number of users and to the high-throughput applications on which they rely. Perhaps even worse, it would have increased the chances that the VPN would be unavailable during a critical incident or other situation in which secure communications must be guaranteed. Instead, IU launched an awareness campaign demonstrating exactly when VPN use is and isn’t needed. In addition, network staff employed a VPN feature called split tunneling to reduce the load. This article discusses the advantages and disadvantages of this approach and how IU made the decision to balance both sides of the risk equation to ensure the continued advancement of its mission throughout the pandemic.