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.     

The new wave of AI-powered luxury brands online shopping experience: The role of digital multisensory cues and customers’ engagement

Academic literature retains a dearth of empirical evidence of the cutting-edge aspect of artificial intelligence (AI)-powered digital assistance and digital multisensory cues, despite the prospect of these factors on real-life customers' luxury brand online shopping experience. Thus, the aim of this study is to examine the significant pathway and effects of AI-powered digital assistance toward customers’ luxury brand online shopping experience. Drawing on S–O-R (Stimulus, organism, and response) and TRAM (Technology Readiness and Acceptance Model) paradigm, a multi-method research design was deployed to investigate constructs. Firstly, semi-structured interviews were utilized to explore customers' online behavior under the luxury brands and information technology aspect. Secondly, survey data were collected and analyzed by using partial least squares structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA). The PLS-based analysis of quantitative data confirmed the exploratory insights of qualitative findings, establishing the connections of AI-powered digital assistance, customer engagement, and customers' luxury brand online shopping experience. Research findings also suggest that customer engagement plays a mediation role in the relationship between AI-powered digital assistance and customers' luxury brand online shopping experience. Besides, digital multisensory cues moderate the relationship between AI-powered digital assistance and customer engagement. Further, fsQCA complements the findings of PLS-SEM that reveal the significant combination of factors that lead to the perceptions of customers' luxury brand online shopping experience.     

Financial returns to collecting rare political economy books

Rare books of political economy are eminently collectable. Using historical prices, I employ hedonic regressions to estimate financial returns to collecting the works of ten eminent political economists and develop a price index for this corpus of collectables. For the observation period 1975–2019, I find that in those 45 years investing in rare political economy books yielded an average annual real rate of return of 2.8%, which is well in line with the returns to collecting rare books of classical literature. Compared with other collectibles such as fine art, investing in rare books turns out to be financially more profitable.     

理性人的人情味：快手“老铁经济”的内在机制和逻辑

以中国用户规模最大短视频平台之一快手头部主播直播带货推广项目的案例和数据分析为基础,构建解释快手直播电商经济底层逻辑的社会学机制模型.提出快手直播电商经济背后的3种社会学机制:关键影响者逻辑、身份认同逻辑和社会网络逻辑.通过LDA文档主题生成模型将快手主播的直播语义字段进行文档主题生成归类,发现情感因素和理性因素词交互影响受众的购买决策,它背后的社会学作用机制是关键影响者逻辑和身份认同逻辑.2020年快手直播电商半年交易额已达1044亿元,理解快手直播背后的影响机制,能够持续优化推广模型,在互联网流量广告领域具有重要的应用价值.     

The social process of internet appropriation: Living in a digitally advanced country benefits less well-educated Europeans

We generalize and extend the sequential model proposed by the resources and appropriation theory to explain the digital divide in the European Union plus the United Kingdom (EU27+UK). We measure the theoretical constructs of the model with data provided by the EU and test the theoretical predictions using a partial least squares structural equation model. We find support for the hypothesized relationships but find that the effects vary depending on the digital development level of countries. While education overall is the primary determinant of the social production of digital inequalities, a country's digital development level is crucial for less well-educated Europeans. These findings have theoretical and practical implications: (1) they call into question the homogeneity of the effect of causal relationships and the assumption that individuals differ only in terms of motivation, access, and digital skills, and (2) they indicate that socially disadvantaged Europeans benefit from living in more digitally developed countries.     

国内外众创经济研究述评——基于文献计量与扎根理论分析

立足众创时代特征,运用文献计量对1999—2018年间1701篇国内外众创文献挖掘分析,探寻众创经济特点主题,探析众创发展知识基础,探求众创研究演进脉络,并获取众创经济视域下核心语句和高频词语,运用扎根理论对抽取的126篇的众创文献样本进行三级编码,进而构建众创研究的整合性理论框架,探究众创研究的系统性发展图景。研究表明,众创理论假说大量问世,众创文献热点主题包括六类,众创经济研究存在两种演进趋势,众创经济治理系统理论具有三个维度;未来应关注众创主体思辨性、众创要素系统性和众创技术本土化等专题研究。     

论中国特色社会主义政治经济学国家主体性的特殊属性

国家在经济社会生活中所发挥的作用与所扮演的角色是在任何国家都存在的普遍性问题,国家主体性问题是政治经济学的一个基本问题。然而,对中国国家主体性问题仅仅进行一般性研究是不够的。由于中国的特殊国情、社会历史传统与客观现实等,中国特色社会主义政治经济学的国家主体性有其特殊属性,主要表现为中国国家定位的特殊性、国家职能的特殊性和国家制度的特殊性。研究中国特色社会主义政治经济学"国家主体性"的特殊属性具有十分重要的意义:可以使我们科学地确定中国特色社会主义政治经济学理论体系的逻辑起点、主要内容与理论框架;可以明确区分东西方两种不同类型的社会生产方式,有助于构造马克思主义广义政治经济学科学体系;可以深刻认识中国特色社会主义制度的根本特性与显著优势,进一步增强中国特色社会主义制度自信。     

深化学科认知与构建中国特色社会主义政治经济学理论体系

对学科的认知包括认识学科内涵、学科性质与任务、学科发展进路等核心问题,关系到如何构建学科体系,是学科建设的重要内容。从深化学科认知的视角,中国特色社会主义政治经济学的学科发展与理论体系构建,要坚持几个重大原则,包括把中国特色社会主义政治经济学建立在历史唯物主义的基础之上;要以生产关系分析为核心来构建中国特色社会主义政治经济学的理论范式;坚持以人民为中心是中国特色社会主义政治经济学的本质属性;把共同富裕作为中国特色社会主义政治经济学的逻辑主线;以问题为导向研究新时代中国特色社会主义建设的重大理论与实践问题;《中国特色社会主义政治经济学》教材要体现学科的创新发展。     

2019年土地科学研究重点进展评述及2020年展望——土地经济分报告

研究目的：梳理并比较2019年国内外土地经济领域研究进展和研究重点，展望未来研究方向。研究方法：文献分析法。研究结果：2019年，国内研究以实践探索为主，集中于土地供给对房价的影响、土地流转意愿、产权与农户投资、征地的福利效应和宅基地制度改革；国外研究则在理论和实践两个方面有所突破，关注影响城市地价的因素、发展中国家土地市场发展、产权与女性福利、土地改革的发展方向等。研究结论：2019年，土地经济在基础理论和实践探索方面取得了新进展，仍需加强对国内外相关研究和土地经济发展规律的总结；2020年将重点关注土地经济领域的基础理论研究、土地经营权流转及权益实现、承包地和宅基地“三权分置”、共享理念下的土地收益分配机制、城乡建设用地市场建设、低效用地再开发与利益协调机制、土地产权制度改革和确权登记等问题。