Carlos Casanova, Le Xia and Romina Ferreira
The purpose of this paper is to deploy an export dependency index to identify the sectors and countries in Latin America which are most exposed to fluctuations in Chinese demand…
Abstract
Purpose
The purpose of this paper is to deploy an export dependency index to identify the sectors and countries in Latin America which are most exposed to fluctuations in Chinese demand. Bilateral trade between China and Latin America has grown very quickly in the past decade. As a consequence, economic relationships with Latin America intensified tremendously, as growing demand for resources drove China into relatively unexplored frontiers.
Design/methodology/approach
The Index measures the relative exposure of Latin American exporters to shifts in demand from China and is scaled from 0 to 1 (the higher the score, the more exposed an exporter is to disruptions of trade with China). The authors undertook the analysis using six-digit trade figures from the United Nations COMTRADE database (Harmonized System 2007 nomenclature) to ensure granularity and consistency and contrasted their results across two points in time, 2008 and 2014. The analysis was very comprehensive, covering the products that accounted for 80 per cent or more of all exports to China in 2014, for all countries in Latin America and the Caribbean.
Findings
According to our estimates, dependency on China increased overboard across Latin America for all countries and all sectors between 2008 and 2014. Absolute dependency levels were highest in Costa Rica, Colombia, Uruguay, Venezuela, Brazil, Panama, Peru, Chile, Guyana and Argentina. Of these, the largest exporters to China, namely, Brazil, Argentina, Chile, Peru, Colombia and Venezuela, featured high dependencies concentrated around just four commodities: soy in the form of soybeans and soybean oil; crude oil; copper in the form of copper ore, copper cathodes and unrefined copper; and iron ore. These four commodities accounted for 80 per cent of the regions’ total exports to China.
Originality/value
This is one of few studies that look into Latin America’s commodity export dependency on China at such granular level.
Details
Keywords
Romina Alkier, Vedran Milojica and Vasja Roblek
This study aims to examine the evolution of the tourism supply chain (TSC) and its future development factors. To this end, a quantitative bibliometric analysis was conducted to…
Abstract
Purpose
This study aims to examine the evolution of the tourism supply chain (TSC) and its future development factors. To this end, a quantitative bibliometric analysis was conducted to provide insights from a statistical perspective, including the evolution of the TSC and an outlook on current characteristics and future research trends.
Design/methodology/approach
This paper presents a quantitative bibliometric study of selected papers on the Web of Science. The study of the evolution of the TSC is based on analyses of bibliographic coupling and co-occurrence of keywords.
Findings
Bibliographic coupling analysis identified 10 clusters defined by coherent groups of theoretical perspectives. The keyword analysis explains the occurrences in the TSC concept. It also helps to determine the future main drivers of TSC research. In the post-COVID-19 era, the tourism industry needs to focus on green transformation and new technologies to transform TSC, supply chain management and B2B relationships. It also needs to ensure employee retention and policies to attract new talent.
Originality/value
This study provides a comprehensive, objective and integrative overview of the evolution of TSC. It is one of the few original works on supply chain development and will be helpful for scholars and practitioners alike to understand the subject.
Details
Keywords
Shiromani Gupta, Satya Bhusan Dash and Rachna Mahajan
The purpose of the study is to explore the suitability of social media influencers (SMIs) for communicating public health messages via social media platforms. The study identifies…
Abstract
Purpose
The purpose of the study is to explore the suitability of social media influencers (SMIs) for communicating public health messages via social media platforms. The study identifies key persuasive communication components that influence individuals' attitudes and, subsequently, intentions to follow health-related information shared by SMIs.
Design/methodology/approach
Qualitative interviews with healthcare workers and interactions with 332 active social media users via structured online questionnaires were used for data collection. Structural equation modelling was used to analyse responses.
Findings
Results indicate that SMIs' credibility, SMI–individual homophily and quality of information shared by the SMI are the significant factors determining individuals' attitudes towards the information received. Furthermore, the individual's attitude significantly impacts their intention to follow information shared by the SMI. The study thus verifies the mediating role of attitude in persuasive communication.
Research limitations/implications
The current study can serve as a foundation for future work to examine the suitability of SMIs for tasks other than marketing.
Practical implications
The study provides insights for planning and implementing SMI-sourced communication in the public health context. The study enhances the understanding of the tested relationships and thereby increases scholars' and practitioners' ability to leverage SMIs for health-related communication.
Originality/value
Whilst SMIs are attracting increasing attention in consumer markets, the study suggests that they can be used in public health communication. Considering the coronavirus disease (COVID-19) situation, the empirical study provides insights into SMIs' role in persuasive public health communication amid a health crisis.
Peer review
The peer review history for the article is available at: https://publons.com/publon/10.1108/OIR-01-2021-0012