文献类型：期刊文献

中文题名：传统村落旅游发展中信任与利益网络效应研究——以北京市爨底下村为例

英文题名：Research on the Effect of Trust and Interest Network in the Tourism Development of Traditional Village——Take the Cuandixia Village in Beijing as an Example

作者：时少华[1];李享[1]

第一作者：时少华

机构：[1]北京联合大学旅游学院

第一机构：北京联合大学旅游学院

年份：2019

卷号：34

期号：9

起止页码：30-45

中文期刊名：旅游学刊

外文期刊名：Tourism Tribune

收录：CSTPCD;;国家哲学社会科学学术期刊数据库;北大核心:【北大核心2017】；社科基金资助期刊;CSSCI:【CSSCI2019_2020】；

基金：文化和旅游部项目“旅游与传统村落文化保护利用中的融合发展研究”(18DY05)资助~~

语种：中文

中文关键词：指数随机图模型;传统村落旅游发展;信任关系网络;利益关系网络;结构效应

外文关键词：ERGM;tourism development of traditional village;trust relationship network;interests relationship network;structure effect

摘要：传统村落旅游发展中的许多问题都与利益相关者间的信任和利益关系结构效应有关。文章以北京市爨底下村为例,运用指数随机图模型方法,通过对3个网络(信任关系网络、利益关系网络、信任利益关系交互网络)的纯网络结构效应和行动者关系效应分析,得出以下结论:(1)从网络紧密度效应看,爨底下村信任和利益两个网络紧密度效应均比较高,但信任与利益交互网络的紧密度效应则比较低;(2)从网络传递性效应看,爨底下村信任网络的传递性效应较高,利益网络的传递性效应则不高,信任与利益交互网络传递性效应中突出信任关系特性;(3)从网络核心边缘效应看,信任网络的核心边缘效应特征显著,导致以利益关系为主的交互网络核心边缘效应结构特征明显;(4)从网络的中间人控制效应看,整体上网络中间人控制效应特征不明显,但3个网络中仍存在着一些结构洞和桥优势位置的中间控制人;(5)从行动者关系效应看,整体上3个网络各个集团内部和之间紧密度效应均比较高,且组内和组间紧密趋势大体相同。文章在上述结论基础上提出了相应的建议与对策。
Many problems in the tourism development of traditional villages are related to trust and interest relationships among stakeholders. Hitherto, few studies have been conducted on the trust and interest relationship networks among tourism stakeholders with China’s traditional village from the perspective of the exponential random graph model(ERGM). The ERGM is a social network analysis model for investigating network structure effects. With the model, it is assumed that network relationships are generated by random processes. Using that approach, the probability associated with network graphs and various network structures are examined;the effects of various hierarchical network structure parameters on the whole network are determined. The present study adopted the ERGM to investigate Cuandixia village in Beijing. The network structure effect was examined and an effect analysis of the actors’ relationships was undertaken with respect to three networks: trust relationship networks;interest networks;and trust and interest relationship networks. The following results were found. First, the effect intensity in the trust and interest network in Cuandixia was high, but the tightness in that network was low. Second, the trust network showed a high transmission effect,whereas the benefit network displayed a low transmission effect;the trust relationship was emphasized in the transmission effect for the trust and interest interaction network. Third, the core-periphery effect played a significant role in the trust network;that led to the structural characteristics of the coreperiphery effect having a clear impact on the interaction network. Fourth, on the whole, the effect of intermediary controllers was not clear;however, in the three networks, some intermediary controllers occupied dominant positions with respect to structural holes and bridges. Fifth, regarding the actor relationship effect, the tightness effect was overall high among the three networks;the tightness trend among the groups generally followed the same pattern. Several points should be considered with respect to the results of this investigation. This study has certain limitations: regarding the network effects of the trust and interest relationship, the interaction mechanisms between the two network effects could not be adequately examined. In this study, the a static analysis of the structure effect in Cuandixia was conducted;however, owing to the complexity of network trust, the interest relationships are constantly in a state of flux, and so the corresponding structural characteristics are likewise subject to change. Future research should examine the operation mechanisms of the two networks: those mechanisms arise through the effects of the fully developed network structure and the effects of that structure when it is in the process of developing. Future studies should also examine optimization of the network effect.