虚拟品牌社区顾客体验会带来其价值共创行为吗--基于手机虚拟品牌社区的实证研究

本文以顾客体验为切入点,基于价值共创理论、心理所有权理论和互惠规范理论,并运用于S-O-R理论框架,构建了虚拟品牌社区下,顾客参与价值共创行为产生的影响路径模型,通过问卷调查与实证分析得出:第一,顾客信息体验和娱乐体验越强,其参与价值共创的意愿程度越高,心理所有权部分中介了二者的促进关系;互动体验强化了社区顾客的心理所有权,并经由心理所有权的完全中介提高其参与共创意愿。第二,顾客参与共创意愿程度越高,其价值共创行为就越容易出现,社区的互惠规范正向调节了二者的关系。     

可持续生计视角下易地搬迁精准扶贫效果评价

易地搬迁是我国实施精准扶贫政策的重要手段之一。以湖北省十堰市龙韵村115户搬迁农户为研究对象,对其搬迁前后的生计资本、生计策略以及生计结果分别进行对比,分析政策实施对搬迁农户生计的改善情况,并通过移民农户对扶贫搬迁政策的满意度评价扶贫效果。结果表明:(1)易地扶贫搬迁促进了移民生计资本的增加,改变了农户生计策略,优化了贫困户整体生计结果,精准扶贫效果显著;(2)农户对易地搬迁扶贫政策效果的整体满意度较高,均值为3.71,提升了贫困户的获得感及幸福感;(3)易地搬迁可持续减贫仍存在一定的制约因素,需要防范返贫风险。     

Warehouse location choice: A case study in Los Angeles,CA

The purpose of this research is to understand how and why warehouses have changed location over time from central urban areas to the urban periphery: spatial decentralization. Over the last decade, the logistics industry has been restructured to transport large volumes of goods more quickly and reliably. Concurrently, the warehousing industry experienced changes in facility size and location: large warehouses have been built on the urban outskirts. This spatial shift is attributed to inventory and transport cost trade-offs: the gains from lower land prices and scale operation outweigh the increase in transport costs as warehouses decentralized from central urban areas. As a case study, I examine location choices of 5364 warehousing facilities in Los Angeles, CA. I hypothesize that (a) the location choice varies by facility size and (b) the location choice logic has changed over time. Results suggest significant differences in the effect of location choice factors over facility size and over time. For warehouses built before 1980, the most influential factors are local market, labor, and seaport/intermodal terminal proximity. In contrast, for warehouses built after 2000, lower land price and airport/intermodal terminal proximity have the greatest effects.     

Fraud commitment in a smaller world: Evidence from a natural experiment

This study examines the effect of proximity on corporate fraud commitment using the introduction of high-speed rail (HSR) as an exogenous shock to travel time. We find that firms commit less corporate fraud after the introduction of an HSR route. A dynamic difference-in-differences (DiD) analysis shows that the effect of HSR introduction on fraud only occurs after the HSR route is launched, supporting the parallel trends assumption and confirming the causal relationship. Further analysis shows that the negative impact of HSR introduction on corporate fraud is more pronounced for firms that have higher information asymmetry or weaker monitoring mechanisms in the pre-HSR period. In addition, we find that HSR introduction increases corporate site visits by external monitors and that visits significantly reduce corporate misbehavior. Overall, our findings suggest that HSR introduction increases proximity and thereby reduces the information acquisition costs for outside monitors. As a result, outside monitors are in a better position to oversee firms, leading to decreased fraud commitment.     

COVID-19-induced layoff,survivors’ COVID-19-related stress and performance in hospitality industry: The moderating role of social support

The COVID-19 pandemic has hit the hospitality industry hard globally, resulting in millions of employees being laid off. Drawing upon the conservation of resources theory, this study aims to empirically examine how and when COVID-19-induced layoff influences employees’ in-role and extra-role performance in the hospitality industry. We tested this model by using field data collected from 302 employees and their supervisors in China across two waves. Results revealed that COVID-19-induced layoff increases survivors’ COVID-19-related stress, which in turn leads to decreased in-role and extra-role performance. The strength of these indirect effects is mitigated by perceived family support against COVID-19. Unexpectedly, perceived organizational support against COVID-19 intensifies these indirect effects. The theoretical and practical implications of this study are further discussed.     

智慧专业化视角下区域资源集聚与区域创新驱动发展

传统发展动力逐渐式微，创新驱动成为区域经济发展的新引擎。走创新驱动发展道路，需要新的经济理论解释、构建并指导各区域经济增长方式和发展模式转型。智慧专业化是一种新兴经济理论，能够较好解释区域创新驱动发展的内在动力。智慧专业化有效支撑区域资源集聚与区域创新驱动发展相关性研究，从资源内存性和外向性、资源技术和经济属性以及资源支持程度3个方面，论述区域创新驱动发展的动力来源与动力持续性，进而解释区域创新驱动发展资源集聚对区域创新驱动发展绩效的影响。     

碳排放约束视角下产业智能化对区域经济差距的影响研究

本文利用2003~2019年中国省级面板数据,从碳排放约束视角出发,实证考察了产业智能化对区域经济差距影响的差异性和产业智能化影响区域经济差距的机制。研究表明,产业智能化对缩小全国、东、中和西部地区省域间经济差距具有显著的正向效应;进一步考虑碳排放约束,发现碳排放约束正向调节了产业智能化对区域经济差距的正向效应,西部地区由于自身产业结构和区位因素,抑制了产业智能化对区域经济差距的正向效应;最后,对产业结构升级的两个子维度在产业智能化和区域经济差距间的中介效应检验,发现产业结构升级的中介效应存在,且主要是通过产业结构高级化实现,产业结构合理化发挥的作用较小。     

长三角城市群新型城镇化与生态效率耦合协调及驱动因素研究

随着我国迈入高质量发展阶段,城市可持续发展的一个重要难题就是城镇化与生态保护的协调问题。以长三角地区作为研究区域,利用熵权法和非期望产出SBM模型定量测度2005—2018年新型城镇化水平和生态效率;借助耦合协调模型,测度二者的时空格局及相对发展状态;通过构建Tobit模型,研究长三角地区新型城镇化与生态效率耦合的驱动因素。结果表明:(1)从综合发展水平来看,长三角地区新型城镇化、生态效率均呈上升趋势,但两个子系统之间发展不平衡;(2)从协调发展水平来看,长三角地区新型城镇化与生态效率的耦合协调度均值在0.38~0.72之间,整体处于上升趋势,经历了“拮抗—磨合—协调”三个阶段,且空间分异特征显著;研究阶段前期,发展水平多为新型城镇化超前,后期发展比例趋向均衡。(3)从驱动因素来看,资源聚集能力、经济发展水平、区域创新环境、社会促进能力对耦合协调度产生显著的积极影响,工业化水平及对外开放程度则对耦合协调度产生显著的负向影响,且地区间的驱动因素差异较为显著。     

政府支持创新创业发展政策文本量化研究(2003-2017年) ——来自国务院及16部委的数据分析

当前,“大众创业、万众创新”已成为我国实施创新驱动发展战略的关键举措。在指导和促进创新创业发展过程中,中国政府出台了大量公共政策。为厘清我国“双创”政策发展脉络,以中央政府近15年来颁布的创新创业支持政策文本为研究对象,从政策文种类型、权威主体构成及发文数量、主题关联性、政策工具4个维度进行频数统计和定量分析。结果发现,我国创新创业支持政策具有文本形式上的多样性和指导性、制定主体上的强权威性和弱协调性、主题关联上的全面性和合理性、政策工具使用上的多元性和间接性4个基本特征,并针对我国创新创业支持政策特点和不足提出相应政策建议。     

GIS as a tool for selection of sample areas in a travel behaviour survey

Whilst Geographical Information Systems (GIS) are now used more commonly in transport research and modelling, GIS techniques were used in this study to select similar sample areas (in terms of geography and census attributes) for data collection. For this purpose, a GIS mapping system for Tyne and Wear, UK, was built. The system included topographic maps of the area, boundary maps of Lower Super Output Areas (LSOA), and aggregated census statistics datasets for LSOAs. Criteria relating to census attributes and the nature of transport were employed to identify ‘hotspots’ by GIS enquiry to provide suitably matching areas, which then formed the basis of the sampling frame.The research project was concerned with commuters’ travel choices and so the study needed to identify commuters. In this case-study context, it is not possible to select fully homogeneous areas, so the GIS ‘hotspots’ approach allowed the identification of areas where there were a high concentration of commuters with multiple alternatives for travel to work. A pilot study showed that the GIS origin-based approach was good in collecting a balanced sample, as compared to an employment-based destination survey. This paper explores the benefits and costs of these origin- and destination-based approaches. In the origin-based home sample, households with paper-based surveys were targeted after identification by GIS. This origin approach requires more data preparation compared to the alternative of an employer-based, destination-based sample that could use online survey methodologies.The paper concludes by identifying GIS as an important tool in selecting a sample area for data collection using multiple criteria, but argues that plans for data collection need to be flexibly constructed to overcome unexpected challenges. Although this paper focuses on a transport research case study, the methodology presented can be applied to survey design and selection of sample areas in other disciplines.