Systemic circular business model application at the company,supply chain and society levels—A view into circular economy native and adopter companies

This study contributes to the conceptualization of a sustainable circular business model (CBM), the application of the circular economy (CE) by companies. The study utilized a three-level framework adapted from the CE literature with company (micro), supply chain (meso) and society (macro) levels. This multiple-case study in the textile industry included two types of companies operating in the CE: companies founded on the sustainable principles of a CE (natives) and companies transitioning to a CE from the linear economy (adopters). The findings show that the adopters emphasized long-term economic sustainability on a company level and implemented CE elements to varying degrees on all three levels. The natives pursued business decisions from environmental and social sustainability standpoints, and the three levels were integral in their systemic approach to a CE. The study highlights two key claims: established operational structures and economic volition hindered adopters in their systemic CE implementation, and an integral part of the CBM for natives was a proactive approach towards the society level.     

Future perspectives on the role of extended producer responsibility within a circular economy: A Delphi study using the case of the Netherlands

Extended producer responsibility (EPR) is a proposed policy approach to promoting the circular economy (CE) within the European Union. This research used a policy Delphi to explore perspectives on improving EPR policies to further contribute to the CE goals of the Netherlands. Both the potential improvement and critical reflections discussed by CE and EPR experts and practitioners from this study contribute to a more detailed understanding of the future governance of CE practices. We present various activities to improve EPR and insights from Delphi participants that emerged from the study. This paper shows that whilst actors agree, in essence, that there is a need for modifying EPR, what the specific changes to the form are and to whom the new responsibilities apply is contested.     

Developing and validating a Chinese cultural value scale in tourism

Chinese cultural values are important in understanding Chinese tourists’ behaviour. However, the literature is void of a relevant scale measuring Chinese cultural values in tourism. This research aims to develop and validate a Chinese cultural values scale in tourism (abbreviated as CCV-T). Following a rigorous scale development procedure and applying multi-stage studies, the research identified a 5-factor measurement scale of CCV-T, composed of 17 items with sufficient reliability and validity. The five Chinese cultural value factors are Leisure and Life Enjoyment (LLE), Filial Piety and Relationship (FPR), Self-fulfilment, Righteousness, and Humanity. The CCV-T scale provides a simplified and holistic structure measuring tourism-related Chinese cultural values. This research provides a solid base to further understand the relationships between Chinese cultural values and tourist behaviour.     

欧盟视阈下在线平台中个人数据的增值税处理

近年来,在线平台的迅猛发展推动了全球经济数字化加速转型,但同时也引发了包括增值税政策适用在内的诸多挑战.通过研究《欧盟增值税指令》和欧州法院的判例法,以及分析个人数据与在线平台运行之间的关系可以推断出,个人数据是在线平台提供访问服务构成的增值税应税范围内的供应,且与消费者是否向在线平台支付金钱形式的对价无关.在实践中,使用客观价值方法来确定在线服务供应的应税金额存在实际困难,而使用直接联系标准解决易货交易问题,会导致增值税税基在本质上得到扩张.因此,建议当前不要将在线平台访问服务的供应视为一项应税交易.此外,对于商家为获得消费者数据而向平台付款的情形,因其不符合直接联系标准,也不应被视为服务对价.     

A “load-carrier” perspective approach for assessing tourism resource carrying capacity

To address the challenge of global tourism resources being overloaded or underutilization, there requires an adequate method for assessing the tourism resource carrying capacity (TRCC). However, the majority of previous evaluation perspectives on TRCC are limited by thresholds. This paper develops an innovative approach for assessing TRCC from the “load-carrier” perspective. TRCC is assessed by exploring the interaction between the carriers and loads of tourism resources. Chongqing city in China is employed as the case city to demonstrate the application of the established TRCC method. The conclusions are as follows: 1) This study elaborates the new connotation of TRCC from the perspective of “load-carrier”, and establishes the TRCC evaluation system based on the dynamic relationship between the carrier and load of tourism resources. 2) The proposed TRCC evaluation method is proved effective through an empirical study of Chongqing. 3) Chongqing's case unveils that the overload performance of TRCC can be dynamically monitored and predicted. By applying the TRCC evaluation methodology developed in this study, tourism managers and policymakers can identify whether it is the load or the carrier of tourism resources that affect the performance of TRCC, thereby taking targeted policy measures to eliminate potential risks of overload or underutilization.     

All hype or the real deal? Investigating user engagement with virtual influencers in tourism

Virtual influencer (VI) marketing has become increasingly prevalent on social media with the evolving landscape of digitalisation. However, the use of VIs in tourism has received limited attention in the literature. This study examines salient source and content attributes that stimulate Instagram users’ engagement with VIs in a tourism context. An online discrete choice experiment was designed using key attributes (i.e. source realness, image composition and caption discourse) identified from online focus groups. Survey responses from 309 adult Instagram users in Australia were analysed through discrete choice modelling. The findings indicate that humanlike VIs are preferred over 3D animated VIs and the least preferred influencers are 2D animated VIs. Instagram posts from humanlike VIs that combine images of tourism settings with rational messages attract the most engagement from the audience. Theoretical and practical implications are provided with recommendations for how tourism practitioners can harness VI marketing effectively.     

Optimal targeting of latent tourism demand segments

This paper identifies for the first time the optimal target markets employing the latent tourism demand expenditure, a novel concept in tourism literature. The study quantifies latent tourism demand between each pair of origin-destination through distinguishing by type of tourism and seasonality. It works with market shares that are estimated via a fractional regression model. Moreover, latent demand is clustered using a market segmentation approach based on a latent class regression. Finally, the optimal target markets are chosen depending on the expected latent tourism expenditure. The result has clear policy implications in terms of which markets are promoted, the optimal channels of communication and the maximum budget for each marketing campaign.     

The Limitations of International Relations Regarding MNCs and the Digital Economy: Evidence from Brazil

ABSTRACT

Multinationals (MNCs) have been considered a relevant research topic for International Relations since the emergence of the field of International Political Economy in the 1970s. Nowadays, MNCs are undergoing deep changes in their business models and global strategies due to the digital economy. This has considerable implications for the international system. For instance, the rise of information and communication technology (ICT) MNCs to the top of market value lists globally. Nonetheless, IR scholars have been slow in grasping the importance of ICT MNCs and the digital economy. In this paper, I justify this statement by evaluating the inclusion of MNCs and ICT MNCs in Brazilian IR scholarship. The method used is a bibliometric mapping of the scientific production of Brazilian IR scholars, supported by a systematic literature review. The results showcase that, in spite of the impact of digitalization on Brazil's economy and politics, IR scholars have conducted few studies on MNCs and practically no studies on ICT MNCs. This case illustrates the emergence of new dynamics in global value chains triggered by digitalization. It also illustrates the challenges for developing countries such as Brazil to engage in global production networks within the highly competitive ICT sector.     

中国数字经济空间关联网络及其影响因素分析

基于2013年和2020年29个省的数据，用因子模型测算各省数字经济发展水平，在此基础上使用修正引力模型构建数字经济空间关联网络，并深入分析此网络特征。结果表明：中国数字经济发展水平存在差异，东部地区高于中西部地区；中国数字经济空间关联网络密度不断增大；北京、山东、江苏一直是网络的重要输出省份，近年来西部地区在网络中的作用越来越明显；地理位置相邻、贸易开放度和产业结构对网络的形成有显著影响。     

安徽省旅游经济地区差异及其收敛性

旅游经济在经济发展中的重要性持续提升。基于安徽省2012—2021年国内旅游收入数据，采用σ收敛、绝对β收敛、个体固定效应模型对安徽省旅游发展不平衡现象进行研究。结果表明：安徽省旅游收入呈“N”字形变化，总体发展不均衡，存在“皖南-皖中-皖北”的梯度递减趋势；安徽省旅游经济总体呈σ收敛和绝对β收敛态势，城市间差异逐步缩小；星级饭店数量、国内旅游人均花费、移动电话年末用户数量等因素均对安徽省旅游经济具有显著影响。