零售企业数字化转型对经营效率的影响研究——基于上市企业年报的文本挖掘分析

在构建以国内大循环为主体、国内国际双循环相互促进的新发展格局下,零售企业数字化转型具有重要的现实意义。基于2010—2019年中国实体上市零售企业的年报信息,采用文本挖掘法测算了零售企业的数字化转型水平,并实证检验了零售企业数字化转型对经营效率的影响机制与效应。实证结果表明,数字化转型显著促进了零售企业经营效率的提升。从影响机制来看,数字化转型通过扩大市场规模和改善管理效率对经营效率产生正向影响;从数字化转型的分维度来看,数字化技术的应用对经营效率的提升有显著促进作用,而数字化商业模式和数字化渠道的作用不显著。从异质性分析来看,数字化转型对零售企业经营效率的提升效应主要体现在国有企业当中;规模过大会抑制零售企业数字化转型对经营效率的提升作用;东中部地区零售企业数字化转型对提升经营效率的影响显著,但是这一影响在西部地区并不显著。因此,加快推进数字化转型升级,加大数字化技术应用力度,发挥国有企业示范作用,以及克服“大企业病”,均是促进零售企业经营效率提升的关键。     

基于DEPA探究亚太地区数字贸易治理前景

随着全球数字贸易的迅猛发展,当前WTO多边框架下数字贸易规则存在缺失,使得数字贸易治理呈现出区域化趋势。为探究亚太地区数字贸易治理前景,预判亚太经济体参与数字贸易治理的可能路径,基于《数字经济伙伴关系协定》(DEPA),采用文献分析、规则文本对比、逻辑推演等研究方法,对亚太地区数字贸易治理的议题广度和深度、谈判模式、模块特征、关注焦点及竞争格局进行全面系统的分析研判。研究认为,未来亚太数字贸易治理主要呈现以下趋向:数字贸易治理将涵盖更多新兴技术领域,传统议题也会趋于更高标准; 专门协定的高效率将驱使数字贸易议题逐渐与传统议题相剥离,协定的框架形式也将采取开放、灵活、包容的“主题模块”形式。数字包容性发展、数字便利化等议题将是亚太数字贸易治理的焦点议题; 亚太数字贸易治理的大国博弈将以中美两国为中心,中小经济体也会以“联合抱团”来争取某些议题的话语权。     

数字经济下虚拟集聚的现实基础与应用

虚拟集聚是数字经济的产业组织形态,是数字经济下资源重新配置的方式,已经渗入人们经济生活的各个方面,从集聚效应、新动能、新认识、新增长点等维度剖析虚拟集聚的现实基础,研究虚拟集聚对制造业的冲击及其在数字经济下的新应用。研究认为,网络空间的虚拟集聚是以“网”为基础、以“台”为依托、以“云”为支撑、以“端”为条件,虚拟集聚是集聚在数字经济下的演进,是在网络空间的集聚,具有智能物流、交易费用、空间范围、信息匹配、知识溢出、弱化黑洞、资源配置等集聚效应; 新一轮科技革命、产业变革与中国制造强国梦形成历史性交汇,促使虚拟集聚应运而生,并且成为新一代信息技术与制造业深度融合的新动能,能够显著促进产业数字化和数字产业化,带动传统产业集群转型升级,培育出世界级的先进制造业集群,推动中国制造迈向全球产业链价值链顶端; 虚拟集聚下制造业的关键核心是互联,在应用中需要产业数字化和数字产业化相辅相成,需要技术的支撑,表现为高度自动化、高度信息化和高度网络化,横向集成、纵向集成与端到端的集成,虚拟集聚的生产要素和生产力都是在虚拟空间体现,将推动制造业数字化转型、网络化协调、智能化变革; 随着新冠肺炎疫情全球蔓延,虚拟集聚成为新经济增长点,国际供应链中的虚拟集聚显著增长,跨境电商兴起,外贸行业快速数字化发展,教育行业、学术会议借助网络和软件线上进行,线上办公、云端会展快速流行,网络与快递业、餐饮与外卖业、短视频与直播经济、云医疗与大健康迅猛发展,数字阅读、文娱产业线上流行成为新的生活方式,元宇宙的虚拟世界也将推动科技发展带来经济新增长点。     

利用数控增益放大器提高A/D转换器的分辨率

文章介绍利用数控增益放大器LH0086大幅度提高A／D转换器分辨率的方法,可将8位A／D转换器的分辨率提高到接近16位A／D的水平,适用于高速数据系采集系统,给出了相应的硬件原理图和软件框图。     

多重网络中的词学研究

近20年来,词学研究有所进展,但仍存在一些问题。词学研究应在多重网络中展开。首先,词学是专门之学,但研究者仍需建构开放的知识网络。词乐研究虽有不少成果,但仍处于相对低潮。这与研究者受限于音乐知识,无法有效介入有关。词谱、词律等专门之学亦是如此。其次,可以尝试词学研究的时空延展,打造通观的“全息网络”,通过长时段的、大量的文本分析发现新话题。同时,注意域外汉籍,因为它们可以提供新文献,启发新视角,丰富文本网络。最后,要注意数字人文的发展趋向,要建设词学检索库,善用新技术,更新研究理念,以便及时因应。但数字人文终究只是辅助研究手段,技术取代不了阅读与思考,只有在传统研究的基础上,技术才能发挥更大的作用。     

Trend smoothness achieved by penalized least squares with the smoothing parameter chosen by optimality criteria

This work presents a study about the smoothness attained by the methods more frequently used to choose the smoothing parameter in the context of splines: Cross Validation, Generalized Cross Validation, and corrected Akaike and Bayesian Information Criteria, implemented with Penalized Least Squares. It is concluded that the amount of smoothness strongly depends on the length of the series and on the type of underlying trend, while the presence of seasonality even though statistically significant is less relevant. The intrinsic variability of the series is not statistically significant and its effect is taken into account only through the smoothing parameter.     

昌北高校图书馆联盟虚拟参考咨询服务现状分析

高校图书馆联合虚拟参考咨询服务是一种全新的信息服务形式,深受广大用户的喜爱和欢迎。该文通过对江西省昌北高校图书馆联盟2011年1至6月份虚拟参考咨询的服务人员、服务形式、服务内容、服务效率及存在问题进行调查分析研究,提出提升该联盟虚拟参考咨询服务质量的积极建议及对策。     

“But we still try”: affective labor in the corporate mommy blog

This article studies three “mommy blogs,” online platforms catering to (in these cases) American mothers of various sub-demographics, through an affective labor framework. Using digital labor and Althusserian subject formation to inform my reading of the common rhetorical gestures made in these blogs, I ask how they conceive of their readership and contributors. I argue that mommy blogs should be understood as sites of digital labor because of the ways in which their publishing conditions and rhetorics establish labored expectations of the “mommy” subject. Contestations of the nature of affective labor in motherhood are reflected by anxieties around digital labor, which play out via ideological conflicts that manifest rhetorically in the blogs under discussion. This analysis is informed by affect theory, Althusser and Butler’s work on subject formation, and the existing feminist literature on digital labor and the mommy blog.     

Bootstrapping Periodic State-Space Models

This article is concerned with how the bootstrap can be applied to study conditional forecast error distributions and construct prediction regions for future observations in periodic time-varying state-space models. We derive, first, an algorithm for assessing the precision of quasi-maximum likelihood estimates of the parameters. As a result, the derived algorithm is exploited for numerically evaluating the conditional forecast accuracy of a periodic time series model expressed in state space form. We propose a method which requires the backward, or reverse-time, representation of the model for assessing conditional forecast errors. Finally, the small sample properties of the proposed procedures will be investigated by some simulation studies. Furthermore, we illustrate the results by applying the proposed method to a real time series.     

From the Digital Divide to the Connectivity Dividend Difference: A Connectivity Capital Perspective*

The access divide was once the basic form of the digital divide. The development of Internet infrastructure has narrowed the access divide and increased application coverage, but it has also touched off a connectivity dividend difference. Taking the online market as an example, we examine the sources of the dividend difference and the factors influencing it with in a connectivity framework. We found that the narrowing of the access divide has resulted in enhanced connectivity and platform development, giving people the chance to benefit from transforming the various assets in which they have previously invested into differentiated compound connectivity capital. In the course, the scale and rate of the conversion are affected by two multiplier effects and especially by online platforms. The process is ultimately expressed in the dividend difference.