“一带一路”沿线省域生产性服务业与制造业联动融合关系辨析

选择"一带一路"沿线18个省域生产性服务业与技术或资本密集型装备制造业动态互动关系为研究对象,运用向量自回归(VAR)模型进行4个细分服务业和装备制造业脉冲响应比较研究,探究其双向互促性、行业异质性及长短期差异性。结果表明:二者虽然有长期均衡关系,但是互促作用具有非对称性。装备制造业对生产性服务业发展的总体拉动力强劲。但无论辅助联动式或价值链嵌入式生产性服务,都只是短期助推装备制造业发展,仍难以构成高端服务能力和发挥显著的规模经济效应,其长期匹配及推动作用较小。长期以来,装备制造业对知识密集型服务业需求程度不高,导致装备制造业对其拉动作用不明显,二者互动关联性较弱。不同互动机理及动态匹配方式下细分服务业与装备制造业互动效应差异性显著。装备制造业来自于自身内部的信息变动影响显著。应加强装备制造业创新投资引资、提升装备制造业产业集群创新竞争力、促使生产性服务业高质量发展、提高高层次人才培养引进效率,以促进沿线省域两大产业高层级耦合互动发展。     

参与产学研合作对科研人员国际和国内论文发表的影响——区域边界和院校层次的调节作用

当前文献对参与产学研互动是否会正向或负向影响科研人员的学术绩效尚未形成一致结论。本文搜集参加广东省企业科技特派员计划的共3 524名科研人员的相关数据,考察参与学企人员流动形式的产学研互动对其学术绩效的影响,包括对国际和国内论文发表的影响。研究发现,参与学企人员流动对学术绩效既有正向促进作用,也有负向削弱效应。结果表明,参与计划对特派员国际论文发表的促进作用大于国内论文。参与后,特派员国际论文发表的增长速率有显著增加,而国内论文发表的增长速率却明显减低。且高层次院校科研人员参与学企人员流动比一般院校人员获得更高的国际论文产出。本地科研人员参与学企人员流动能够比区域外人员获得更高的国际论文产出。研究结论对平衡科研人员学术研究和创新成果转化活动的政府产学研政策、学研机构行政机制和企业管理策略都具有重要参考价值。     

Do Indian States Mimic,Compete or Interact in Local Public Spending? A Spatial Econometric Analysis

This paper analyses spatial interaction in public spending decisions across 22 Indian states during the period 1980–1981 to 2014–2015. In particular, we estimate interactive hypotheses for different proximities of states using a spatial panel data approach. The empirical results support strong spatial interaction and yardstick competition in public spending. Interactive behavior among the states has been found to be consistent and conditional on per capita income, fiscal transfers, infrastructure, literacy and population density. Interaction arising from yardstick competition significantly affects public spending decisions. The present study realizes the need for a well‐developed and comprehensive network to strengthen the interdependence in public spending among the states for higher welfare gain.     

Emotional labor in a non-isolated service encounter - The impact of customer observation on perceived authenticity and perceived fairness

Emotional labor is a frequently discussed topic in the service literature because of its varying effects on customers' evaluation processes. Previous research has primarily investigated the effects of emotional labor from an employee-customer perspective. This article considers customer copresence and argues that the observed interaction between an employee and another customer affects the focal customer's evaluation process. An extended customer-employee-customer model is presented and empirically tested in a pharmacy setting. The findings show that distinctive emotional labor affects customers' perceptions of authenticity and fairness. This study presents a more nuanced account of the effectiveness of emotional labor and provides managers with advice to enhance point-of-sale interactions.     

社会互动对规模养殖户环保饲料支付意愿的影响研究*——基于改进的目标导向理论模型分析框架

［目的］通过引入社会互动变量改进目标导向行为理论框架，探讨生猪规模养殖户对环保饲料的支付意愿及其影响因素，为完善畜禽养殖污染防治政策提供参考借鉴。［方法］以湖北省生猪规模养殖户为研究对象，应用Heckman两阶段模型，研究规模养殖户对环保饲料的支付意愿。［结果］大多数规模养殖户（8134%）愿意采用环保饲料，且平均意愿支付水平为每头生猪饲料成本的669%（4680元/头）。社会互动中的干群互动、同行互动均能显著提升规模养殖户对环保饲料的支付意愿，但同时同行互动不利于其意愿支付水平的提升。进一步的异质性分析表明，在环保饲料支付意愿决策上，社会互动较少的规模养殖户更容易受到制度规范的约束，而社会互动较多的规模养殖户则更易受到感知养殖热情的影响。［结论］政府部门应加大生态环保宣传力度，并借助多种方式推动规模养殖户进行社会互动； 同时可依据社会互动程度的不同，分别制定相应措施以促进规模养殖户对环保饲料支付意愿的提升。     

社会互动与家庭金融资产配置

运用中国家庭金融调查(CHFS)数据,研究社会互动与家庭金融资产配置之间的关系。研究发现,适当增强社会互动会促进家庭更多地参与风险金融市场,增加投资风险资产的比例,提高金融资产的分散化程度,优化资产的配置效率。但当社会互动达到一定程度后,过度的社会互动则会抑制家庭参与风险市场,减少风险资产的投资比重,降低金融资产的分散化程度以及资产配置的有效性。因此,家庭需要建立适度而高质量的社会互动,这有助于家庭获得更多的外部资源,缓解信息不对称,降低交易成本,从而优化家庭金融资产配置。     

The Effect of the Interaction between Price and Time Preference on Cigarette Consumption among Pregnant Women

In this study, I explore smoking behavior among pregnant U.S. women using the 1979 cohort of the National Longitudinal Survey of Youth. The key aspect of this study is the availability of smoking participation data before and during pregnancy. I consider the probabilities of smoking cessation while pregnant as the outcome. I find that pregnant women who smoke are less responsive to price changes when they are more future-oriented. Women who are more present-oriented are more likely to smoke and consume more cigarettes given that they smoke more than those who are future-oriented. Moreover, those who discount the future more heavily are more sensitive to the money price of cigarettes than those who are more future-oriented. I focus on the role of time preference and the interaction between time preference and price in determining these outcomes.     

Exploring the role of extrovert-introvert customers’ personality prototype as a driver of customer engagement: Does relationship duration matter?

Drawing on social exchange theory, the current study examines new drivers and their associated processes of customer engagement. In spirit, the study tests the direct and indirect impacts of the extraversion–introversion personality trait on customer engagement. The study takes into consideration the contingency role of time by testing the moderating role of relationship duration. Results demonstrate that the more extraverted customers are, the more they are likely to engage with service firms. Further, extraversion is positively related to customer–employee interaction, which in turn leads to more utilitarian and hedonic values perceived by customers. Both types of value, then, induce higher customer engagement behaviors in terms of customer referrals, knowledge sharing, and social-influence. Findings demonstrate that relationship duration moderates some of the examined relationships. The current study contributes to the literature by extending the knowledge on customer engagement's predisposition and social causes.     

A Bayesian examination of the relationship of internal and external touchpoints in the customer experience process across various service environments

Customer experience (CX) is an aggregate of consumer touch points that can be brand-owned (completely controlled by the firm), partner-owned (collectively controlled by the firm and one or more of its partners), customer-owned (where the firm or its partner cannot exert any control or influence) or represented by social/external touch points that account for the importance of the roles of others in the customer experience process. Although the concept of CX is widely used, not much has been examined about how external touch points impact customer perception of experience. Therefore, the main purpose of this study is to examine the role and impact of internal and external touchpoints as dimensions of customer experience and how CX can impact consumer word-of-mouth intention. Service outcome and peace of mind were used to represent internal experience touchpoints and peer to peer quality (PTP) was used to represent an external experience touchpoint. A total of 293 usable surveys were used for analysis using a Bayesian model developed for this study instead of the more traditional SEM approaches. Results showed that an external experience touchpoint has a similar impact to those of internal experience touchpoints in the experience process. CX was also found to have a strong effect on customer word of mouth intention. These findings make various contributions to the literature on CX, especially to research differentiating internal from external experience touchpoints. On the practical side, this study provides recommendations to retailers about how to manage an external touchpoint.     

The influence of seller learning and time constraints on sequential bargaining in an artificial perishable goods market

This paper investigates the formation of prices in a perishable goods market where agents bargain repeatedly through pair-wise interactions. After extensive field observations, we chose to focus on two aspects that seem important to actors of this market: the passage of time and update in judgement when gathering information. The main feature of the market is that a seller bargaining with a buyer has incomplete information about buyer's willingness to pay and is not sure how her trading partner will evaluate an offer or compare it with other options. On the other hand, buyers have limited time to look for goods and cannot meet all possible sellers before making a decision. Hence agents cannot calculate the best price to offer but receive information through limited interactions, and use this information to choose their actions.An agent-based model was built to represent a framework that mimics the observed market institution and where agent's possible behaviors and learning was made as consistent as possible with gathered data. Simulations were run, first for sensitivity analysis concerning main parameters, then to test the dependance of agents’ learning to (a) the time buyers can spend on the market and (b) the frequency of update in learning by sellers. To validate the model, features produced by the simulated market are compared to the stylized facts gathered for negotiation about four goods. We reproduce the main features of the data on the dynamics of offers, transaction prices and agents’ behavior during the bargaining phases.