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。     

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。     

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。     

“十四五”时期推进新旧动能转换的思路与策略

“十四五”时期是国际经济秩序重塑的关键期、新一轮科技革命和产业变革由孕育发展向形成高潮的关键过渡期、我国跨过高收入门槛的关键期和改革攻坚的关键时期,也是我国新旧动能接续转换的关键时期。加快新旧动能转换对于促进经济持续稳定健康增长、抢占新一轮科技革命机遇和实现高质量发展等意义重大,是我国转换发展方式、调整经济结构、建设现代化经济体系和实现体制机制转型的重要途径。必须深化对新旧动能转换内涵和特征的认识,厘清思路,明确新旧动能转换重点;深化体制机制改革,激发新旧动能转换活力;培育主体,做优做强一批新旧动能转换领军企业和优质中小企业;加快集群建设,形成一批新旧动能转换高地;创新优化要素支撑,夯实新旧动能转换基础;提升对外开放水平,拓展新旧动能转换空间。     

Overcoming the “Solow paradox”: Tariff reduction and productivity growth of Chinese ICT firms

This paper examines the phenomenon of the “Solow paradox” in China using the Annual Survey of Industrial Production database and the China Customs Records dataset from 1998 to 2007. We find that China likely fell into the Solow paradox in the period 1998–2002, but the total factor productivity of information and communication technology (ICT) enterprises has achieved rapid growth since 2003. Accession to the World Trade Organization is the key reason for China to overcome the Solow paradox, that is, input tariff reduction significantly promoted the productivity of ICT firms. A series of validity and robustness checks confirmed the results. Mechanism analysis shows that input liberalization promotes the productivity of ICT firms through optimizing factor structure, importing more and high-quality inputs, and increasing research and development investment. The conclusions provide strong empirical evidence for developing countries to overcome the Solow paradox through trade liberalization.