中国城市科技人才集聚促进了全要素生产率增长吗——来自285个地级市的经验研究

基于2005—2018年中国内地285个地级市数据，对城市科技人才集聚与全要素生产率（简称“TFP”）进行测度分析，实证考察科技人才集聚对TFP的影响。结果表明：①城市科技人才集聚与TFP空间分异特征显著，但二者具有较强的时空一致性，即科技人才集聚特征显著的城市，其TFP也相对稳定；②城市科技人才集聚对TFP的影响呈倒U型，但研究期内大多数城市仍处于集聚效应占主导阶段,科技人才集聚通过提升城市技术进步水平促进TFP增长，而科技人才集聚对技术效率的影响呈倒U型；③不同类型城市科技人才集聚对其TFP影响的异质性显著，且适宜集聚区间也存在差异。省会城市及一、二线城市等优势特征显著的城市所能承受的科技人才集聚规模上限更高，有利于通过释放集聚红利促进TFP增长，而非省会城市、三线及以下城市等则拐点值较低。     

Post-script—Retail forecasting: Research and practice

This note updates the 2019 review article “Retail forecasting: Research and practice” in the context of the COVID-19 pandemic and the substantial new research on machine-learning algorithms, when applied to retail. It offers new conclusions and challenges for both research and practice in retail demand forecasting.     

I Feel Your Pain: The Effect of Regulator as a Minority Shareholder on Merger and Acquisition Performance

We examine the effect of a regulator-led advocate for minority shareholders on merger and acquisition (M&A) performance in China. In recent years, the China Securities Regulatory Commission established the China Securities Investor Services Center (CSISC), which began its ownership of 100 shares of public firms in 2016. The CSISC advocates for the interests of minority shareholders proactively. Focusing on abnormal stock returns in M&A announcements, we find that acquirers that have the CSISC as a shareholder (CSISC acquirers) exhibit higher positive abnormal stock returns than non-CSISC acquirers. Cross-sectional analysis suggests that the core results are mainly driven by firms with severe agency problems and weak external/internal monitoring, and those not controlled by the state. In addition, we find that CSISC acquirers have better long-term performance and encounter more M&A failures than non-CSISC acquirers. Our findings indicate that although the CSISC only holds 100 shares of listed companies, it plays an effective role in monitoring and driving firms to make appropriate M&A decisions.     

Legally astute managers as a source of value in organizations

The legal and compliance departments in organizations have more influence than ever before. Why then are companies so vulnerable to legal liability? The problem may not be with talented legal professionals, but with the lack of legal knowledge held by MBAs and other business school graduates that make day-to-day decisions in modern organizations. Firms can close this knowledge gap and minimize legal liability by training their managers in legal astuteness—the ability of a manager to address legal issues successfully—by instilling four essential traits: respecting the rule of law, recognizing legal issues, resolving problems proactively, and reporting complex legal issues to experts. Job candidates should also be screened for traits of legal astuteness. A legally astute candidate, especially a graduate of a business school that requires legal education for all its students, can be a cultural ambassador for legal astuteness and a valuable liaison between legal and compliance departments and the candidate’s functional area. A legally ignorant candidate will require significant training and a frank assessment of the legal risk they bring to the organization. Modern firms in today’s legal environment face two choices: hire a legally astute manager now or deal with a compliance headache later.     

Green consumption behavior prediction based on fan-shaped search mechanism fruit fly algorithm optimized neural network

Predicting consumption behavior is very important for adjusting supplier production plans and enterprise marketing activities. Conventional statistical methods are unable to accurately predict green consumption behavior because it is characterized by multivariate nonlinear interactions. The paper proposes an optimized fruit fly algorithm (FOA) and extreme learning machine (ELM) model for consumption behavior prediction. First, to address the problem of uneven search direction of FOA leading to insufficient search ability and low efficiency, the paper proposes a sector search mechanism instead of a random search mechanism to improve the global search ability and convergence speed of FOA. Second, to address the issue that the initial weights and hidden layer bias values of the ELM are randomly generated, which affects the learning efficiency and generalization of the ELM, the paper uses an improved FOA to optimize the weights and bias values of ELM for improving the prediction accuracy. Taking the green vegetable consumption behavior of Beijing residents as an example, the results show the optimization of the initial weight and threshold of ELM by the GA, PSO, FOA, and SFOA, the prediction accuracy of the GA-ELM, PSO-ELM, FOA-ELM, and SFOA-ELM models all surpass those of ELM. Compared with BPNN, GRNN, ELM, GA-ELM, PSO-ELM, and FOA-ELM models, the RMSE value of SFOA-ELM was decreased by 9.45%, 8.40%, 11.89%, 5.84%, 2.22%, and 2.69%, respectively. These findings demonstrate the effectiveness of the SFOA-ELM model in green consumption behavior prediction and provide new ideas for the accurate prediction of consumption behaviors of other green products with similar characteristics.     

游客感知视角下乡村旅游质效提升维度研究——以西双版纳傣族园为例

发展乡村旅游是实施乡村振兴战略的重要途径，对促进乡村经济发展具有重要作用。以西双版纳傣族园为案例研究地，通过SPSS和AMOS实证探究游客感知视角下乡村旅游质效提升的维度。结果表明：游客感知视角下的乡村旅游质效提升包含旅游地感知、地方认同感、主观幸福感、环境责任行为4个维度；地方认同感和旅游地感知对乡村旅游质效提升的影响力较强，其次是主观幸福感和环境责任行为。     

我国粮食产后损失情况概述

本文系统分析了粮食产后各环节损失的原因及损失量,针对相关粮食损失原因及状况,提出了减少粮食产后损失的措施及建议,以期为我国实现节粮减损提供支持。     

Exploring the multi-dimensionality of authenticity in dining experiences using online reviews

The quest for authenticity in dining experiences has become increasingly important. This paper explores authenticity dimensions that are of value to customers in dining experiences, and by that gains a multi-dimensional understanding of authenticity in this context. Following an integrated learning approach using text mining and classification techniques, this paper explores and confirms different dimensions of authenticity by identifying and classifying authenticity judgements in online restaurant reviews. The results suggest that authenticity is a multi-dimensional concept encompassing Authenticity of the Other, Authenticity of the Producer, and Authenticity of the Self as first-level dimensions. Additionally, besides historical and categorical authenticity which have been previously explored in the literature, a new type of authenticity - Deviated Authenticity - emerged as a second-level dimension falling under Authenticity of the Other. This paper enhances existing conceptualisations of authenticity and establishes avenues for exploring the multi-dimensionality of other consumer research concepts using user-generated content.     

薪酬福利对中小企业人力资源的影响研究

为响应大众创业的号召,我国中小企业不断发展,为社会提供就业岗位也为经济发展添砖加瓦。然而,在市场竞争压力不断增强的当下,中小企业要重视推进人力资源管理质量提升。通过薪酬福利的有效应用来激发工作人员的工作积极性和创造力,以此为中小企业的发展贡献出更高水平的价值。本文在分析中小企业薪酬福利现状的同时,提出相关对策思考。