Scenario planning for tourism management: a participatory and system dynamics model applied to the Galapagos Islands of Ecuador

This paper presents a decision-support system based on a system dynamics model designed to examine tourism management in the Galapagos Islands. A participatory approach was used to integrate the views of multiple stakeholders in the Galapagos Islands and to build an understandable, graphical representation of the impacts of tourism and residential population growth. Each subsystem is examined through hypotheses involving three scenarios of tourism growth that are associated with different residential population expansions. A number of integrative and linked social-ecological effects in our model have been shown to severely shock the natural environment of the Galapagos and saturate the capacity of several socio-economic subsystems. Major concerns of the expanding human dimension in the Galapagos are represented by (1) the growing number of introduced species that threaten the Islands’ unique natural environment, and (2) the rapid saturation of the Galapagos National Park's tourism reception capacity. The model relies upon real data to specify rules, relationships, and rates of exchange that are derived through statistical functions and/or functions specified in theory or practice. The presented decision-support system is a quantitative scenario-planning tool that can be used by policy-makers to achieve an enhanced understanding of the Galapagos Islands as a coupled human–natural system.     

Retweet if you please! Do news factors explain engagement?

Stakeholders’ engagement with corporate messages is crucial for companies that want to increase their social media coverage. However, our understanding of the content-related factors that drive stakeholders’ engagement is still poor. Drawing from the literature on news selection and distribution, this paper explores whether the relevant news values that are already found in corporate messages could also explain greater engagement in social media. In particular, six news factors were examined in a sample of 2331 tweets that were posted by the Euro Stoxx 50 companies. The results show that four news factors (in particular, Prominence, Entertainment, Immediacy, and to a lesser extent Human interest) play a role in the drive of content sharing through retweets and favorites. Additionally, the inclusion of hashtags and media content helps increase retweets and favorites. Finally, we observe differences among industries. In particular, firms operating in business-to-business industries obtain less reach through sharing. The implications of these results are relevant for social media strategists as they suggest avenues to increase followers’ engagement with company-produced content.     

Third-Party Certification,Sponsorship, and Consumers’ Ecolabel Use

While prior ecolabel research suggests that consumers’ trust of ecolabel sponsors is associated with their purchase of ecolabeled products, we know little about how third-party certification might relate to consumer purchases when trust varies. Drawing on cognitive theory and a stratified random sample of more than 1200 consumers, we assess how third-party certification relates to consumers’ use of ecolabels across different program sponsors. We find that consumers’ trust of government and environmental NGOs to provide credible environmental information encourages consumers’ use of ecolabels sponsored by these entities, and consumers do not differentiate between certified versus uncertified ecolabels in the presence of trust. By contrast, consumers’ distrust of private business to provide credible environmental information discourages their use of business association-sponsored ecolabels. However, these ecolabels may be able to overcome consumer distrust if their sponsors certify the ecolabels using third-party auditors. These findings are important to sponsors who wish develop ecolabels that are more credible to consumers, and thus encourage more widespread ecolabel use.     

The dynamics of exports and R&D in SMEs

A growing body of literature is exploring firm export and R&D activities. However, most studies examine the first one, whilst considering the second as an explanatory variable or vice versa. This paper contributes to this literature by exploring the joint dynamics of exports and R&D using data from a representative sample of small and medium-sized enterprises in Spanish manufacturing over the 1990–2006 period. The results confirm the existence of a strong interdependence between export and R&D activities. Indeed, engaging in export (R&D) activities will increase a firm’s chances of also engaging in R&D (export) activities. This, in turn, increases firms’ chances of succeeding in export (R&D) activities. Additionally, once we control for firm heterogeneity, strong persistence still remains in each activity due to true state dependence. The results are robust in the use of alternative measures of internationalization (i.e. imports) and innovative activities (product and process innovation).     

Relatedness of decisions in business services outsourcing

The literature of service outsourcing is mainly focused on case studies or specific service activities. However, there is no evidence about the pattern of relatedness among outsourcing of services. This paper analyses this issue by a relatedness index previously applied in the framework of product and technological diversification. The index is applied to analyse the degree of relatedness for outsourcing decisions among an array of fourteen services in a large data set of Spanish manufacturers in 1990–2006, detecting four time-constant clusters. An econometric analysis tests the alternative explanations about this pattern of joint decisions, based on shared knowledge and on workers' expertise.     

Economic integration,market discipline and productivity growth in Spain

This paper explores the changes on productivity growth, economies of scale and market discipline experienced by a selected number of Spanish manufacturing industries as a result of the 1986?–?92 integration of Spain into the European Union. Since the intra-union trade liberalization process spanned a seven-year, multi-stage, adhesion period we employ a model with a smooth transition variable to account fully for its impact. An additional model that uses separate sets of dummy variables captures differences in the regression estimates during the transitional and liberalized periods. In both model specifications we find strong evidence of increases in returns to scale and reductions in producers' mark-ups, whereas productivity growth increases are found to be small and uneven.     

The Effects of Immigration on Labour Tax Avoidance: An Empirical Spatial Analysis

We investigate whether the geographic concentration of non-EU immigrants in the various Italian provinces affects labour tax avoidance (LTAV) practices adopted by firms located in the same provinces, as well as in the neighbouring provinces, and operating in construction and agriculture industries that mostly employ immigrants in Italy. For this purpose, we develop a LTAV proxy based on the financial accounting information of a sample of 993,606 firm-years, disseminated throughout the 108 Italian provinces, over the period 2008–2016. Our results, based on a Spatial Durbin Model panel regression, reveal a statistically significant positive association between the concentration of non-EU immigrants and LTAV at province level, as well as the presence of spillover effects among neighbouring provinces. Our findings are robust to several additional analyses, including instrumental variable estimations. Our study provides empirical support to previous structuralist or marginalization theories holding that socioeconomically marginalized groups, such as non-EU immigrants, are more likely to be involved in labour exploitation practices, which could underlie our LTAV outcomes. Furthermore, it supports the need for tax authorities to strengthen labour inspections, coordinated at national level, especially in those contexts where non-EU immigrants are mostly employed. On the other hand, a greater social integration, assistance, and recognition of rights of immigrants may help to alleviate their situation of weakness that makes them more vulnerable to LTAV practices. Finally, tackling LTAV, associated with the underemployment of immigrants, may prevent its negative effects for society arising from the reduction of public resources to sustain the social welfare and finance public goods and services.