双支柱调控的金融稳定效应研究*

本文基于全球42个主要经济体1991—2016年的面板数据，系统考察了双支柱政策框架的金融稳定效应。实证结果表明：（1）货币政策和宏观审慎政策在抑制家庭信贷增长上具有显著作用，双支柱政策在缓解金融风险顺周期性上具有显著的金融稳定效应；（2）盯住贷款的宏观审慎工具和针对借款人、贷款人的宏观审慎组合具有更为显著的金融稳定效应；（3）新兴经济体的货币政策在抑制家庭信贷扩张上的作用不显著，但其宏观审慎政策的金融稳定效应相较发达经济体更为显著，发达经济体双支柱政策的金融稳定效应总体显著，其中货币政策效应更为突出；（4）发达经济体的货币政策效应在下行周期优于上行周期，宏观审慎政策及其与货币政策的交互效应在上行周期优于下行周期；（5）只有个别宏观审慎工具会对失业率、消费和物价产生微弱的负效应。     

技术中介在技术交易服务中是否存在下沉倾向——基于买方选择视角的验证

技术要素转移与交易对技术中介有较强的依赖性，而技术中介的存在能够有效降低交易过程中的信息失衡，为买方交易提供必要支持，技术中介服务直接影响技术交易效率。当代技术中介服务已经形成较大规模，提供服务的种类也较为全面，整体上适应了技术市场发展需要。但是，由技术中介参与的大量交易都存在低端化倾向，据此提出中介服务下沉化假设，并构建选择影响因素模型。通过对买方企业数据的采集与回归，发现无论是全样本还是分类样本均有效验证了主要假设变量。因此，为保障技术中介合理发展，从政策层面应重点关注如何提升服务质量，使其服务于中高端技术交易需求。     

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。     

Rural light pollution from shale gas development and associated sleep and subjective well-being

The shale oil and gas boom has had large economic, environmental, and social impacts on rural communities in the United States. This study provides novel estimates of the impacts of shale oil and gas development on light pollution in rural areas of the United States. Using nationwide, time-calibrated DMSP-OLS database from 2000 to 2012, we find robust evidence that the shale oil and gas boom significantly increased light pollution in rural areas. We then assess associations between horizontal drilling and subjective self-rated health using nationwide data from the Behavioral Risk Factor Surveillance System (BRFSS) from 2000 to 2012. Our findings suggest that insufficient sleep and poor health (physical or mental) are associated with increased drilling in rural areas. These results provide support for drilling-related light pollution as an additional environmental pathway of concern for public health beyond the mechanisms of air or water pollution.     

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。     

Price matching and product differentiation strategies considering showrooming

Showrooming, a phenomenon in which customers use brick-and-mortar stores to assess products and then purchase them from online retailers (o-retailers) for lower prices, is considered a great threat to traditional retailers (t-retailers). To combat showrooming, many t-retailers have executed price matching which enables customers to pay o-retailers' lower prices for the identical product. To avoid direct competition with t-retailers who execute price matching, many o-retailers have begun to sell differentiated products from t-retailers, which weakens the information advantage to customers from practicing showrooming. Motivated by these observations, we construct a duopoly game, where a t-retailer and an o-retailer sell products in a same category, to study the profitabilities of product differentiation and price matching in the context of showrooming. The results show that in the scenario without price matching, the o-retailer is likely to benefit from product differentiation only when the o-retailer's differentiated product is more popular with customers than the t-retailer's product. However, in the price matching scenario, the o-retailer also has the opportunity to benefit from product differentiation when the o-retailer's differentiated product is less popular with customers than the t-retailer's product, and product differentiation can be a win-win strategy for the two retailers under certain conditions. Considering the o-retailer's product differentiation decision, the t-retailer is only likely to execute price matching if the non-digital attributes of the product category sold by two retailers are not very obvious.     

The diffusion of mobile payments: Profiling the adopters and non-adopters,Roger's way

This study aims to establish various market segments based on consumers' attitudinal elements influencing the adoption of mobile payments (m-payments). It also examines the best discriminators between identified clusters of m-payment users. Three hundred and sixty m-payment users participated in the study. Cluster and discriminant analyses were employed for the analysis. The findings suggest that two segments are established, and strategies can be developed accordingly. The study provides marketers with numerous touchpoints to propagate the adoption of m-payment apps. It also comprehensively explains m-payment users in developing economies by superimposing the cohorts to Roger's diffusion of innovation model.     

Does justice affect brand advocacy? Online brand advocacy behaviors as a response to hotel customers’ justice perceptions

This study focuses on customers' information-sharing behavior in the context of online brand advocacy behavior regarding hotel brands. We aim to explain hotel customers' online brand advocacy behavior through three-sided justice evaluations (i.e., justice for employees, justice for the self, and global belief in a just world), and their hotel satisfaction. Hypotheses are tested by using survey data acquired from 688 individuals on Amazon's Mechanical Turk (MTurk) through partial least squares structural equation modeling (PLS-SEM). The findings show that customers' perceptions of justice for the self positively affect their hotel satisfaction, perceptions of justice for employees and the global belief in a just world positively affect online brand advocacy behavior, and hotel satisfaction also positively affects online brand advocacy behavior. We expand current research efforts on online brand advocacy research and provide theoretical and managerial implications for the development of marketing and management research and practice.     

Obesity of politicians and corruption in Ukraine in 2000–2020– Reply

We collected 469 frontal face images of Ukrainian cabinet ministers who were in office in 2000–2020. For each image, the minister's body mass index was estimated using a computer vision algorithm. The time series of median estimated body mass index of cabinet ministers co-moves over time with two existing measures of corruption – World Bank worldwide governance indicator Control of Corruption, and the discrepancy between the quantity of luxury wristwatches exported from Switzerland to Ukraine (reported by Swiss statistics) and the corresponding quantity imported by Ukraine from Switzerland (reported by Ukrainian statistics).     

Growth,Distribution, and External Constraints: A Post-Kaleckian Model Applied to Brazil

ABSTRACT

The purpose of this research is to analyze whether the Brazilian economy behaved under a wage-led or profit-led regime between 1960 and 2011, considering a Post-Kaleckian model in a context of external constraints. The time span is limited by data availability (i.e., 2011). To answer the question of whether the Brazilian economy works under a wage-led or profit-led regime, we propose a simple Post-Kaleckian model. The model suggests that a profit-led regime is more probable for Brazil. Moreover, a wage-led regime occurs when a balance of payments constrained growth model is taken into consideration. Likewise, the real exchange rate has a positive impact on economic growth through the export channel. This result is a novelty in the recent literature about the relationship between real exchange rate and economic growth within a Post-Kaleckian model. The Brazilian economy was chosen as it is one of the biggest economies in Latin America.