云南省团队游空间结构及其聚散效应研究

在旅游业高质量快速发展的背景下,全面厘清与掌握省域尺度范围各旅游节点在网络中的角色和地位,并解析其网络结构效应具有重大意义。针对现有研究因旅游流数据采集限制而较少对团队游空间结构研究的不足,基于云南省旅游包车客运信息,运用社会网络结合空间分析的方法,提取了云南省团队游网络空间结构特征,并对其聚散效应进行分析。结果表明:云南省团队游整体网络密度较小且淡旺季表现出相似特征,网络对各节点的旅游联系与合作影响尚未显现,暴露出云南省团队游旅游市场发展的不均衡;团队游网络外向中心势显著高于内向中心势,网络空间集聚趋势明显;通常具有较强外向中心性的旅游节点同时也具有较强内向中心性,表现出“集中—发散”的聚散规律;旅游节点的聚散效应表现为单个节点以圈层状向外递减形式发生,其扩散路径主要集中于文山—蒙自、景洪—思茅方向。整体上,云南省区域旅游业发展差异明显,应重点加强滇西南与滇西旅游区、滇中与滇东北旅游区的旅游资源开发与合作。     

高速铁路影响下京津冀城市旅游空间作用变化特征研究

本文通过对现有高铁和规划高铁两种情境下京津冀地区城市旅游空间相互作用的测算与比较,分析了高速铁路的建设对京津冀地区旅游空间相互作用的空间分布特征、变化幅度和空间差异的影响,并识别了不同城市的主要空间相互作用的联系方向。研究发现:高速铁路显著提升了城市旅游空间相互作用总量,缩小了空间差异。其中,唐山、张家口、承德3个城市获益最大,作为客源地产出作用的位序分别提升了3位、2位和2位,作为目的地接收作用的位序分别提升了3位、4位和4位,而衡水则排在全区最末位。高速铁路网络化运营后,张家口作为客源地产出的空间作用弱于作为目的地接收的空间作用,而秦皇岛作为目的地接收的空间作用小于作为客源地产出的空间作用,且北京、承德作为目的地的空间作用被高速铁路网络放大,而唐山则提高了作为客源地产出空间作用的能力。最后,本文提出,240分钟的旅行时间是城市间产生较强旅游空间作用力的重要分界线,并对京津冀地区在高铁网络化运营时代的旅游产业发展提出了相关建议。     

When the American dream fails: The effect of perceived economic inequality on present-oriented behavior

Economic inequality is worsening worldwide and is associated with various social problems. Although research on inequality has been conducted in various academic fields, research on how perceived inequality affects individual decision making is relatively limited in the marketing field. Recognizing this gap, this study examines how perceived economic inequality can affect individual behavior and decision making from the perspective of time frame. The results of four studies reveal that perceived economic inequality can induce present-oriented behavior and suggest that perceived economic mobility accounts for this relationship. This study demonstrates that present-oriented and shortsighted behaviors, which are usually considered characteristics of the poor, can occur due to the perceptions of the environment beyond class. It implies that the macro level of economic inequality can influence an individual's decision making at the micro level.     

‘How do you feel about a disease?’ The effect of psychological distance towards a disease on health communication

Based on construal level theory, this research addresses the moderating role of an individual's psychological distance towards a disease in the effectiveness of advertising messages framed by two distinctive construal level terms (high-level and low-level). In Experiment 1, two different disease types (bronchitis/distant disease vs. influenza/proximal disease) were featured, with the result that an advertisement with high-level construal terms was more persuasive for a psychologically distant disease (bronchitis) than for a psychologically proximal disease (flu). The reverse was true for an ad framed with low-level construal terms. To replicate Experiment 1 and further test the hypothesis, in Experiment 2, the perceived distance individuals have towards one disease (cancer) was measured and used as independent variable. Consistent with the results from Experiment 1, the low-level construal messages were more effective under the psychologically close condition than the psychologically distant condition. Reverse was true for the high-level construal messages.     

Shrouding Add‐On Information: An Experimental Study*

We explore how increased competition affects firms’ obfuscation strategies in a laboratory experiment. Firms sell a base good and an add‐on product. Besides choosing the base‐good price, sellers take an action that mimics the effects of shrouding the add‐on product. Shrouding is an equilibrium but an unshrouding equilibrium coexists. In our experiment, more competition matters, in that only duopolistic markets are frequently shrouded whereas four‐firm markets are not. With repeated interaction, shrouding rates do not increase. However, the opportunities to shroud facilitate tacit collusion on the base‐good price for the duopolies: the unshrouding equilibrium serves as a credible punishment if deviations occur.     

基于精准扶贫的重庆市乡村旅游发展模式及空间分布格局研究

［目的］发展乡村旅游是推进农村扶贫开发的一项重要措施，在精准扶贫背景下，研究乡村旅游资源的空间分布格局，以期为贫困地区乡村旅游资源的开发利用提供理论参考，也将有利于充分发挥乡村旅游在精准扶贫中的重要作用。［方法］以重庆市14个国家级乡村旅游重点扶贫县为研究区域，系统分析该地区乡村旅游资源的发展模式，采用平均最邻近指数、地理集中指数和平均分布密度，探究境内194个乡村旅游资源的空间分布格局。［结果］（1）重庆市乡村旅游重点扶贫县中，发展模式主要有高科技农业园、农家乐、乡村自然景观和乡村人文景观，其中农家乐是数目最多的类型。（2）各乡村旅游重点扶贫县中ANN值均小于1，说明这些地区乡村旅游资源均呈集聚分布。（3）各乡村旅游重点扶贫县中乡村旅游资源分布密度差异较大，其中秀山土家族苗族自治县的平均分布密度最高，为6115个/万km2，酉阳土家族苗族自治县平均分布密度最低，仅为2709个/万km2。［结论］乡村旅游重点扶贫县中乡村旅游资源数目还比较少，各地之间存在差异，今后应从发挥产业集聚效应、不断开拓发展模式、提高基础设施建设等方面促进乡村旅游的发展。     

交通基础设施、FDI与农村剩余劳动力转移

在分析交通基础设施及FDI影响农村剩余劳动力转移机理的基础上构建空间自回归模型，利用30个省级区域1998—2014年面板数据实证分析普通公路、铁路及FDI对农村剩余劳动力转移的影响。研究表明：普通公路有效促进农村剩余劳动力就地转移；铁路促进农村剩余劳动力跨区域转移，具体来说，东部沿海地区和西部地区铁路与农村剩余劳动力转移为倒“U”型相关关系，而在中部地区为“U”型；FDI显著促进农村剩余劳动力转移，在全国范围内FDI通过作用于铁路促进农村剩余劳动力跨区域转移。     

Corruption in space: A closer look at the world's subnations

Corruption levels differ not only between but also within countries. In this paper we analyze spatial interdependencies in corruption levels for a large sample of 1232 subnational regions from 81 countries. Based on a spatial autoregressive model, which controls for country-fixed effects and corrects for spatial autocorrelation in the error term, we find that a subnational region's corruption level is positively correlated with neighboring subnational regions' corruption levels. Extending the core model and allowing for heterogeneous spatial effects, we find that most spillovers among subnational regions occur within national borders. Moreover, in particular high income subnational regions and subnational regions with relative low corruption levels tend to spill in space. This is due to their high degree of connectivity in terms of economic, sociocultural and political exchange with other subnational regions. Our estimation results underline the importance to consider not only a subnational region's own characteristics, but also spatial interdependencies when implementing efficient anti-corruption policies at the local level.     

Price competition in the spatial real estate market: allies or rivals?

This paper examines whether real estate firms can avoid price competition when properties in the vicinity are priced by allies. An oligopoly model with differentiated products generally suggests that real estate firms engage in price competition with their spatially closest rivals. Yet, they can raise property prices when the market share of their allies increases. To test this prediction, a spatial autoregressive model with spatial autoregressive disturbances, including a share of allies in the vicinity, is estimated using data on the prices of residential condos in central Tokyo, Japan. The model prediction is supported by the empirical results. In the data set, the magnitude of the market share on property prices increases with the expansion of the size of the spatial market.     

Does economic growth and energy consumption drive environmental degradation in China’s 31 provinces? New evidence from a spatial econometric perspective

The panel data analysis points to economic and social factors contributing to NO_x, PM_2.5, PM₁₀, SO₂, and VOCs in China’s 31 provinces. The spatial correlation analysis using Global and Local Moran’s I values indicates the existence of a significant and positive spatial autocorrelation with respect to environment, economy and energy, and the high spatial correlation is evident in the eastern region, covering the northern part of Yangtze River Delta, Huaihai Economic Zone, and the lower reaches of the Yellow River Economic Belt. The empirical estimation is performed through spatial lag and spatial Durbin models. All emitted air pollutants in 31 provinces have significant spatial dependence and strong spillover effects. There is an inverted U-shaped relationship between emitted air pollutants (NO_x, PM₁₀, VOCs, and PM_2.5) and per capita GDP, which follows the EKC hypothesis. The relationship between SO₂ and per capita GDP does not follow the EKC hypothesis. There is a positive relationship between pollutant emissions and coal consumption, which is consistent with current studies for various countries like Canada, Denmark, UK and US and regions like New York State. However, the effects of science and technology investment on air pollutants are mostly positive, which is not as policy expected.