东部地区十省市规模以上工业企业研发投入绩效评价

选取2021年度数据，采用数据包络分析（DEA）方法对中国东部地区10个省份规模以上工业企业的研发投入绩效进行评价，并采用灰关联分析方法分析确定各项研发投入产出指标相对于DEA效率的灰色关联度。研究结果表明，80%的省份规上工业企业研发投入产出处于非DEA有效状态，存在不同程度的投入冗余或产出不足；规上工业企业发明专利申请数与研发投入产出效率的关联度最高，其次是新产品销售收入和R&D经费内部支出。     

The dark side of innovation: How new SKUs affect brand choice in the presence of consumer uncertainty and learning

New product activity is critical for sustained success of consumer packaged goods (CPG) brands. However, the impact of new SKUs on the perceived quality, quality uncertainty and subsequent choice of the brand as a whole is, as of yet, not well understood. The authors study how new additions to the brand line shape consumers’ quality perceptions, and how this – next to the mere line length effect – influences their choice of brands over time. They do so in the setting of an emerging market (China), where new product activity is particularly pervasive. Using a unique scanner panel dataset of Chinese households over the period 2011–2014, they estimate a Bayesian learning model that accommodates varying quality, on two CPG categories, and for two types of new-product additions (new sensory SKUs vs. new non-sensory SKUs). They show that while adding new SKUs may lift the brand’s perceived quality level, it also makes consumers more uncertain about the quality of the brand – dampening their brand choice. This holds especially for light customers – an important part of the brand clientele. Managerial implications are discussed.     

Forecasting macroeconomic variables in emerging economies

Forecasting macroeconomic variables in rapidly changing emerging economies presents a number of challenges. In addition to structural changes, the time-series data are usually available only for a short number of periods, and predictors are available in different lengths and frequencies. Dynamic model averaging (DMA), by allowing the forecasting model to change dynamically over time, permits the use of predictors with different lengths and frequencies for the purpose of forecasting in a rapidly changing economy. This study uses DMA to forecast inflation and growth in Vietnam, Thailand, Philippines, Sri Lanka and Ghana. We compare its forecasting performance with a wide range of other time-series methods. We find that the size and composition of the optimal predictor set changed, indicating changes in the economic relationships over time. We also find that DMA frequently produces more accurate forecasts than other forecasting methods for both inflation and economic growth in the countries studied.     

女性高管对企业研发创新的影响：一个有调节的中介模型

企业创新是企业持续发展的内在动力,也是推动国家产业升级、建设创新型国家的重要举措.近年来女性高管比重不断提高,学术界开始关注女性高管对企业研发创新的影响.以沪深两市2010—2018年A股上市公司为研究样本,实证检验女性高管对企业研发创新投入的影响.结果表明:女性高管负向影响企业研发创新投入;其负向作用以风险承担为中介实现;企业所有制调节了中介过程的后半段路径.     

人力资源柔性研究现状及其在中国商业银行实践新思考

通过理论基础、维度与测量、影响因素、组织绩效影响等4个方面对人力资源柔性研究现状做文献研究述评,并基于此提出研究与实践新方向,提出本土国情下中国商业银行人力资源柔性、创新能力以及创新实践的测量体系,探讨人力资源柔性与创新能力以及创新实践之间的影响关系,充分考虑外部环境对上述关系的影响,提出中国商业银行业务创新实践的概念模型。该模型有助于拓展人力资源柔性理论的实证研究,并基于研究成果深入剖析适合中国商业银行发展的人力资源柔性管理模式。     

基于VAR模型探究BDI和燃油价格的相互影响

燃油价格近期受疫情影响出现剧烈波动,国际干散货航运市场也受到巨大影响。基于Clarksons官方数据库1992年1月至2020年4月相关数据,进行实证研究发现,国际燃油价格的暴跌对波罗的海干散货运价指数的下降有着显著的正向影响;燃油价格虽然也在一定程度上受到BDI的影响,但存在一定的滞后性。这有利于干散货运输公司根据燃油价格波动预测运价指数的变化趋势,从而采取多样的方式应对冲击。也对保障干散货运输市场的稳定发展有重要意义。     

An integrated approach to the purchase decision making process of food-delivery apps: Focusing on the TAM and AIDA models

The study employed two theories, the technology acceptance model (TAM) and the Attention-Interest-Desire-Action (AIDA) model, to provide an understanding of the process of consumers accepting an on-demand food-delivery app, and to establish the effect of marketing communication on outcomes related to consumer behavior. A conceptual model and hypotheses were developed by combining the key constructs of the two models to predict behavioral intentions. Findings revealed the attention and interest in the AIDA model related strongly to the salient behavioral beliefs of TAM, perceived usefulness and perceived ease of use. Thus, it can be concluded that marketing communication acts as an external element in the process of accepting new innovations. Besides, it was confirmed that attitude towards the adoption of new technology acts as a mediator that promotes desire for the app. From the disciplines of information system and marketing communication, the study suggests an innovative approach to incorporating models.     

A new assessment of economic integration in East Asia: Application of an industry-specific G-PPP model

It is well known that intra-industry trade and cross-border production networks have promoted economic growth and regional integration in East Asia. However, regional supply and production chains may have been formed differently across industries, reflecting different degrees and a different scope of regional economic linkages at an industry level. This paper makes a threefold contribution. First, to assess industry-level differences, this study adopts the generalized purchasing power parity (G-PPP) model using industry-specific producer prices. Second, the momentum threshold autoregressive (M-TAR) model is employed to allow for possible nonlinearity arising from the dynamic nature of regional economic growth and development. Third, the Granger causality test is also conducted to assess whether regional economies have autonomously integrated. The empirical results reveal that economic integration has progressed more autonomously in the electrical industry, as well as in the transportation equipment industry, as China and the ASEAN countries have become the final destination markets for finished products in these two industries.     

Optimal lockdown in altruistic economies

The recent COVID-19 crisis has revealed the urgent need to study the impact of an infectious disease on market economies and provide adequate policy recommendations. The present paper studies the optimal lockdown policy in a dynamic general equilibrium model where households are altruistic and they care about the share of infected individuals. The spread of the disease is modeled here using SIS dynamics, which implies that recovery does not confer immunity. To avoid non-convexity issues, we assume that the lockdown is constant in time. This strong assumption allows us to provide analytical solutions. We find that the zero lockdown is efficient when agents do not care about the share of infected, while a positive lockdown is recommended beyond a critical level of altruism. Moreover, the lockdown intensity increases in the degree of altruism. Our robust analytical results are illustrated by numerical simulations, which show, in particular, that the optimal lockdown never trespasses 60% and that eradication is not always optimal.     

The mechanism of credit risk contagion among internet P2P lending platforms based on a SEIR model with time-lag

The credit risk contagion of Internet peer-to-peer (P2P) lending platforms is an important part of Internet financial risk management and supervision. This study analyzes the contagion path of credit risk in Internet P2P lending. Based on complex network theory and the theory of infectious disease dynamics, the characteristics of Internet P2P lending development are combined to construct a SEIR model of credit risk transmission among Internet P2P lending platforms with time lag, and the robustness of the model is analyzed and proven. The influence of platform correlations, the susceptible immune rate, the platform elimination rate, contagion latency, the saturation coefficient, and the susceptibility input rate on credit risk contagion behavior among Internet P2P lending platforms is analyzed, using the equilibrium point and threshold value. The impact of each variable is analyzed by simulation. Corresponding countermeasures and suggestions are proposed to prevent and control credit risk contagion among these platforms.