Does Social Media Get Your Attention?

The author investigates how social media affects stock prices and post–earnings announcement drift in response to companies’ quarterly earnings announcements. Using quarterly earnings data as well Twitter and StockTwits data, the author utilizes Twitter volume and a residual methodology to generate an attention proxy that is orthogonal to the growth of Twitter accounts. The author finds that the new attention brought by social media after the earnings announcements positively affects the cumulative abnormal returns. Further, even companies reporting bad news can still have positive immediate cumulative abnormal returns if they attract enough attention from investors after an earnings announcement. The new attention effects are different in both magnitudes and statistical significance between social media popular and unpopular industries.     

Food beliefs and food supply chains: The impact of religion and religiosity in Israel

This paper demonstrates that religion and religiosity affect norms, which affect food consumption patterns and production. Heterogeneity and asymmetric information lead to multiple certification channels as well as multiple supply chains. Major supply chains may address multiple constituencies that are secular or less religious. Technological change affects norms and thus the food system. We obtain these results by analyzing the food systems for meat products in Israel where there are three religions – Jews, Muslims, and Christians – and people assign themselves three levels of religiosity – secular, conservative, and orthodox. Israel has multiple Kosher and Halal certifiers and several specialized supermarket chains for orthodox groups. Its main supermarket chains serve secular and some conservative segments. The immigration of secular Jews from Russia led to the proliferation of non-Kosher supply chains and products, and increased consumption of pork. New technologies and higher incomes led to emergence of fast food chains serving orthodox Jews that had previously tended to eat at home.     

From elite capture to marginalization of the poorest: a new social exclusion in anti-poverty programmes in China

Based on a case study of state-directed aid resources in anti-poverty programmes, we detected a new phenomenon of social exclusion in China. In a period of several years, a shift is observed from elite capture to marginalization of the poorest. This phenomenon occurs under the administrative pressure from the authoritarian state and the morbid democratic mechanism. Contemporary structural changes in economic and social culture also make it difficult for marginal people to escape from this predicament. From a social structural transformation point of view, we suggest that the marginalization of the poorest should be seriously taken into consideration in rural development programmes and policies.     

Identifying the ‘knowledge base’ or ‘intellectual structure’ of research on international business, 2000–2015: A citation/co-citation analysis of JIBS

The purpose of this study consists in analyzing the existing literature on international business from all the research papers published in Journal of International Business Studies (JIBS) during the period of time comprised between 2000 and 2015. The authors apply bibliometric methods to that end –in particular, document citation and co-citation analyses (DCAs)– so that they can try and identify the main research lines within the aforementioned scientific field or domain; in other words, the ‘intellectual structure’ of the discipline examined. Social networks analysis was also used to carry out the representation or visualization of such structure or knowledge base. The highly interdisciplinary nature of the research undertaken, since the study field still keeps its characteristic diversity and interdisciplinarity or the need to integrate a variety of theoretical frameworks or approaches into the development of a widely-accepted theory about the field under study become evident. Amongst these theories would be the new institutional theory, the strategic theory or perspective or others such as the transaction cost theory or the agency theory, applied to the context of internationalization and to the field of international business, on whose integration the future development of this field may largely depend.     

研发市场界定的适用困境及应对策略

研发市场是经营者在特定产品和技术竞争中形成的市场范围。由于研发活动的不确定性，反垄断执法机关在界定研发市场时难以准确厘定市场边界，更深层次的原因在于维持竞争与激励研发的关系尚不明晰。研发竞争中的垄断行为难以通过相关市场界定的方式判断其违法性，需要结合具体案情和市场条件，动态分析涉案行为是否损害产品或技术研发竞争。     

小世界网络视角下外向型开放式创新输出机制建模及仿真研究

现有关于网络环境下开放式创新的研究大都聚焦于内向型开放式创新，对于外向型开放式创新的关注不足。为更加真实地展现创新网络中知识创新、创新输出的整体行为机制，基于小世界网络仿真建模方法，从创新输出企业视角，探究创新输出与创新网络、创新绩效之间的内在关系。结果发现：网络关系强度、创新开放度与网络整体知识水平呈正相关关系，而个体网络规模与网络整体知识水平呈非线性相关关系；网络关系强度与网络知识水平分布均匀性呈正相关关系，创新开放度、个体网络规模与网络知识水平分布均匀性均呈非线性相关关系；当企业创新能力较强、解吸能力较弱时，网络整体知识水平和网络知识分布差异较大。创新输出企业可以结合网络结构和网络关系，优化创新网络、主体能力与创新开放度，制定开放策略，从而实现获取创新收益与保持自身竞争优势的双重平衡。     

A study on the deployment of high-speed broadband networks in NUTS3 regions within the framework of digital agenda for Europe

This paper investigates the high-speed broadband situation in the EU and its prospects. It uses a deployment model to estimate the investment required to meet the Digital Agenda for Europe (DAE) broadband targets set by the European Commission in its Europe 2020 strategy at different stages: as of 2016, after expected operators’ deployment, after public subsidies and leveraged investment, and as expected in 2020. The model uses data at the NUTS3 level, which is the most granular level that has data available on the status of broadband deployment, to arrive at a coherent and comparable framework. From the different perspectives on the investment to meet DAE targets, the paper concludes on the need for an appropriate combination of incumbent and alternative operators investments, public subsidies and leveraged investments, and new investments, both public and private and non-existing as of 2016, examining their feasibility and the impact of different regulatory, technical, and policy strategies.     

Nowcasting China’s GDP Using a Bayesian Approach

Real time nowcasting is an assessment of current-quarter GDP from timely released economic and financial series before the GDP figure is disseminated. Providing a reliable current quarter nowcast in real time based on the most recently released economic and financial monthly data is crucial for central banks to make policy decisions and longer-term forecasting exercises. In this study, we use dynamic factor models to bridge monthly information with quarterly GDP and achieve reduction in the dimensionality of the monthly data. We develop a Bayesian approach to provide a way to deal with the unbalanced features of the dataset and to estimate latent common factors. We demonstrate the validity of our approach through simulation studies, and explore the applicability of our approach through an empirical study in nowcasting the China’s GDP using 117 monthly data series of several categories in the Chinese market. The simulation studies and empirical study indicate that our Bayesian approach may be a viable option for nowcasting the China’s GDP.     

The gap not only closes: Resistance and reverse shifts in the digital divide in Russia

The reduction of the digital divide due to the availability of the Internet and the improvement of skills is accompanied by reverse and resistance trends associated with the influence of socio-demographic and economic characteristics of users. In this paper, we estimate the volume and dynamics of the digital divide in access and use of the Internet in Russia by key social groups according to a longitudinal survey for 2008–2018. We found that along with the reducing of the digital divide, its gaps still remain. The greatest polarization is associated with the income, age, and type of residence of the respondents. The most vulnerable social groups on access to ICTs and Internet use are the low-income, the elderly, citizens with disabilities, and those living in rural areas. The reverse shifts in the digital divide were recorded mainly in relation to the Internet usage by age between the middle-age and youth and by gender. In addition, we pointed out the most resistance social groups to reduce the digital divide in the period under review, in particular, by income and type of residence of the respondents. The findings contribute to an understanding of the dynamics and social consequences of the digital divide and can be taken into account in social policy and measures.