产出吸引、制度演进与增量改革的产权边界——基于中国制度演进路径的动态考察

制度演进理论将制度变迁行为归结为制度主体对环境的学习和适应过程,在完全信息和缺乏外在约束条件下,制度将会按照某种方式向最优的均衡路径逼近。但是,信息的不完全性、经济实体的制度兼容性以及转轨经济面临的产权、效率约束都会改变制度演进的路径和结果。根据Barro(1991)和Skott(1999)的分析框架,通过构建制度的动态演进方程,文章对在一定约束条件下的制度演进长期均衡路径进行了考察,勾勒出一幅全新的制度演进图景。同时,运用相关的宏观经济数据,文章考察了模型对中国经济制度演进路径的解释能力。     

政府角色定位对旅游治理的影响——以广西阳朔遇龙河景区为例

政府角色如何定位对旅游地能否实现可持续发展具有重要影响。文章以阳朔遇龙河景区为例,探讨其旅游地发展历程中政府角色定位的演变,解读不同阶段治理失灵的原因。研究发现:在旅游探查期,社区自主发展,政府基本缺位;在旅游参与期,政府以“规划者”角色介入,并主导运营管理,治理角色不中立,导致治理权威受损;在旅游大发展前期,政府治理目标部分错位加上在资源欠缺、政策准备不充分的情况下急于强制干预,最终导致治理失灵;在旅游大发展期,政府的治理能力和治理资源跟不上旅游规模的扩张,缺乏长效监管机制,难以实现有效治理。     

招商引资政策绩效及影响因素分析——以皖北地区为例

从政府、投资商、居民和环境四个主体,采用熵权_灰色关联度模型,以皖北六市为例,评估地方政府招商引资政策绩效。结果表明:皖北地区招商引资政策绩效存在着很大差异。改善招商引资政策的绩效应权衡不同主体的利益,还应在政策之外寻找条件支持。     

Becoming a preferred customer one step at a time

A preferred customer is a buying organization who receives better treatment than other customers from a supplier, in terms of product quality and availability, support in the sourcing process, delivery or/and prices. The decision to become a preferred customer implies a continuous commitment by the purchaser to a complex, expensive and often uncertain process. It is important to use a strategic approach, as well as appropriate tactics. Based on well-known models on the development of buyer-supplier relationship, on customer portfolio analysis and on the emergent literature in customer attractiveness and preferred customer status, we suggest four steps to become – and remain – a preferred customer: initial attraction, performance, engagement and sustainability. The process takes the perspective of a buyer willing to obtain the preferential status and focuses on the strategies and tactics that could influence the supplier's decision of granting this status. The proposed process considers that the supplier is continuously comparing the value offered by the customer to its expectations, and to the value offered by other customer relationships.     

Light at the end of the tunnel: Visitors' virtual reality (versus in-person) attraction site tour-related behavioral intentions during and post-COVID-19

Consumer behavior is changing as a result of the COVID-19 pandemic, thus compelling attraction sites to find new ways of offering safe tours to visitors. Based on protection motivation theory, we develop and test a model that examines key drivers of visitors' COVID-19-induced social distancing behavior and its effect on their intent to use virtual reality-based (vs. in-person) attraction site tours during and post-COVID-19. Our analyses demonstrate that visitor-perceived threat severity, response efficacy, and self-efficacy raise social distancing behavior. In turn, social distancing increases (decreases) visitors' intent to use virtual reality (in-person) tours during the pandemic. We find social distancing to boost visitors' demand for advanced virtual tours and to raise their advocacy intentions. Our results also reveal that social distancing has no effect on potential visitors' intent to use virtual reality vs. in-person tours post-the pandemic. We conclude by discussing vital implications that stem from our analyses.     

Tourists on shared bikes: Can bike-sharing boost attraction demand?

This study aims to investigate the impact of bike-sharing on tourist attraction demand in an urban destination. Using monthly data on 460 attractions in Chicago, Illinois from January 2013 to December 2019, we propose a difference-in-differences econometric model to examine the availability of nearby bike-sharing stations on attraction demand, measured by the number of TripAdvisor reviews. This model confirms the significant and positive effects of station presence and station number, each of which have a lag of about 9 months. Moreover, empirical results highlight public transport accessibility as a significant moderator of the bike-sharing effect, suggesting a complementary relationship between bike-sharing and public transport in mobilizing tourists within an urban environment. The effect of bike-sharing stations appears largest within an approximate 300-m radius of the attraction. Lastly, a discussion and implications for destination transport planning and attraction marketing are provided.     

The Moderating Effect of Product Category Knowledge and Attribute Importance on the Attraction Effect

This paper explores the moderating effect of product category knowledge and attribute importance on the attraction effect. The results of our study point to several boundary conditions of the effect. For consumers who have a moderate level of product category knowledge, and for consumers who assign more importance to one product attribute over the other, the attraction effect was strongest. In contrast, the attraction effect was diminished, in some cases to insignificant levels, for consumers with a high or low level of product category knowledge, and for consumers who consider both product attributes about equally important.     

The impact of a product’s country-of-origin on compromise and attraction effects

Product information, such as country-of-origin (COO), often influences consumer choice. This research explores how valence of COO influences the magnitude of the compromise and attraction effects. The results of four experiments demonstrate that when a product’s COO denotes a negative image, the compromise and attraction effects decrease. The analysis also reveals asymmetric change of magnitude in the compromise and attraction effects.     

民俗节庆活动旅游吸引力创造研究

民俗节庆活动作为文化旅游的一种类型,对于旅游深具加值的作用。民俗节庆活动已成为旅游目的地形象塑造的重要载体,也是重要的民俗文化旅游产品。本文从文化旅游的视角出发,结合民俗节庆活动本身所具备的旅游功能,探讨了如何增强和创造民俗节庆活动旅游吸引力。     

创新服务平台资源汇集机制设计

创新资源规模、特征、存储调用等资源汇集情况影响创新服务平台影响力及服务质量、方向与速度,因此,设计科学的资源汇集机制成为研究重点。基于平台不同阶段功能要求,明确重点资源吸纳对象,提出平台面向主动挖掘及宣传吸引两类资源吸纳方式。利用计算机五元组模型,确定资源信息类型与功能,据此从供求视角设计两阶段资源筛选机制。采集30多家创新服务平台资源存储关键词,运用词频统计软件,组织多次讨论,确定资源存储标签,提出利用PLSA模型与Jaccard系数相结合确定资源信息主题及主题与存储标签匹配归属方法。研究可为创新服务平台创新资源汇集提供理论与方法支撑,并为后续供求匹配研究奠定基础。