Search results

The purpose of this study is to examine the relationship between the productive structure and the size of the informal economy in Latin American countries.

The study employs econometric techniques for panel data covering the period from 2002 to 2017 and considering 17 Latin American countries. The evidence presented is based on the informal economy data generated by Medina and Schneider (2018) who estimate the size of the informal economy using a structural equation model and the share of manufacturing in total employment as a measure of the size of the manufacturing sector. Also, the study addresses the possible endogeneity bias in the relationship studied and makes the conclusions more robust, thus avoiding spurious correlations that weaken the findings.

The results indicate that most industrialized Latin American countries are associated with a smaller size of the informal economy.

The findings have important policy implications, as they suggest that Latin American economies need to switch the structure of the economy toward more sophisticated productive structures if they want to reduce the size of the informal economy. Thus, more efforts should be deployed to policies to diversify and upgrade economies.

The study contributes to the literature on the informal economy by connecting the country’s productive structure and informality. Specifically, the results show that the productive structure of countries is a plausible explanation for the size of the informal economy.

The purpose of this paper is to examine the influence of formal rules such as business regulation and rule of law on the level of formal entrepreneurship in Latin America countries over time.

The authors use the panel regression techniques to examine the influence of business regulation and rule of law on formal entrepreneurship. In particular, they implement together two alternative views of formal entrepreneurship suggested in the literature: the “dual” and “legalistic” view. At the empirical level, the “dual” definition corresponds to the business owners’ rate. As for the “legal” definition, it corresponds to the business registration rate. The evidence presented is based on two panels. The first panel covers the period 2004–2015, and the data set contains 180 observations in 18 countries. The second panel covers the period 2006–2015, and the data set contains 134 observations in 14 countries.

The impact of institutional variables on formal entrepreneurship depends on the definition employed: “dual” or “legal.” Thus, the results suggest that business owners’ rate is more substantial in Latin American countries that have weak property rights. Conversely, from a legal definition, the business registration rate is more significant in Latin American countries that have most secure property rights and fewer labor regulations. These contradictory results suggest that the legal definition of formal entrepreneurship, but not the dual definition, seems to be associated with the type of entrepreneurial activity that promotes economic growth and development.

The results support the importance of conducting analyzes that take into account the different types of entrepreneurial activities that are present in an economy, and in addition the relevance of understanding what each measure is capturing of the heterogeneous phenomenon of entrepreneurship.

The results suggest that the entrepreneurship policy should focus on the quality of entrepreneurship, rather than merely seeking to increase the number of new businesses. Additionally, the results suggest that the legalistic definition of formal entrepreneurship is probably the most relevant for many policy issues.

The paper analyzes together two alternative views of formal entrepreneurship suggested in the literature: the “dual” and “legalistic” views. Also, the paper has used the Latinobarómetro data set, which has not been extensively used by scholars in the field of entrepreneurship and which could be useful for longitudinal research on entrepreneurial activity in Latin American countries.

It is essential to understand how the countries with the highest number of tourist arrivals have managed to recover or not based on the competitiveness of the tourism industry during the pandemic stage. It is necessary to evaluate the policies implemented by each government to maintain the competitive performance of their industries. This chapter proposes a comprehensive review of the policies implemented in the 10 most visited countries according to UNWTO data. Most of these policies are geared toward economic and financial flexibility strategies for companies and individuals in the industry under study. The effectiveness of these policies is evaluated with statistical information extracted from a unified UNWTO database to reduce biases in the effectiveness analysis. Finally, concluding remarks are offered on the effectiveness of the policies and their contribution to the sector's recovery.

Coastal cities offer great ecological, cultural and economic benefits due to their tourism potential. The objective of this research is to (1) identify tourists' post-pandemic motivations, (2) establish a post-pandemic demand segmentation and (3) determine the relationship between post-pandemic segments and loyalty.

This study was carried out in Lima, Peru, a tourist destination on the Pacific Ocean coast. The sample was collected between June and July 2020, during the coronavirus disease 2019 (COVID-19) pandemic. In total, 354 valid questionnaires represented the sample size of this quantitative study. For data analysis, factor analysis and K-means non-hierarchical clustering were used.

The results show four post-pandemic motivational dimensions in coastal cities: “novelty and escape,” “learning and culture,” “destination safety” and “service safety.” Likewise, there are two post-pandemic segments in coastal cities: “safety seekers” who want to feel safe at the destination and with its services, and “multiple motives,” motivated by several reasons simultaneously, such as safety, novelty and escape, and learning and culture. The multiple motives group shows higher return intentions, making it a crucial post-pandemic segment in coastal cities.

The limitations of the present study were the online sampling and the timing when collecting the data since the demand can vary due to seasonal reasons.

Since coastal cities have natural and cultural attractions appealing to many travelers, they should adopt the necessary biosecurity measures to attract the safety seekers’ segment, who wants to feel safe at the destination and with its services. Similarly, the multiple motives’ segment favors safety over other recreational activities in the coastal area, so it is necessary that activities such as sports on the beach, walks, observation of flora and fauna, navigation and interaction with the community, meet the required biosecurity standards.

The results will be used to plan the following actions in coastal destinations and meet the tourists’ demands when this health crisis ends.

In this context, up to date, demand segmentation by motivations in coastal cities during the COVID-19 pandemic has not been investigated. Such a study will help to obtain post-pandemic results regarding the tourism demand for these destinations. To date, there are no studies in coastal cities that analyze demand segmentation and its motivations for the post-COVID-2019 pandemic.

The purpose of this paper is to analyze the changes of the characteristics of the study area caused by human influence and the reduction of flow rates with time, in Água Limpa stream basin, Jequitinhonha Valley of Minas Gerais, Brazil.

The study area is a typical arid zone in the northeast of Minas Gerais, Brazil. Field observations, collection and analyses of precipitation, evaporation, temperature and flow rate data were the main approaches used in this study. The data cover the last 50 years, including aerial photographs and satellite images of different dates. The stream flow rate has decreased in the region of the Jequitinhonha valley in the last decades, in particular during draught periods (base flows), with serious social‐economic and environmental consequences. The increase in stream intermittence is responsible for rural exodus to other parts of the country, mainly to São Paulo state. The study presented provides decision makers with important information that can assist them in making objective decisions relational this problem.

The research shows that the forest cover has declined, the agricultural and pasture cover have decreased and the deforestation areas have grown. These changes resulted in a spatially diverse landscape with implications in the flow rate, and consequently, in the social‐economic condition of the region considering the high rate of emigration.

The expected results of this study will be of great importance, because the clarification of the factors addressed in this project will allow progress in the understanding of the reduction of flow rates. This reduction has been occurring in the Jequitinhonha Valley and also in almost all Brazilian rivers.

This paper is original and reports the main causes for decreasing of the stream flow rate in the region of the Jequitinhonha valley in Brazil.

This study aims to validate a direct method to measure relational capital through the estimation of corporate brands. Considering the influence of relational capital management in leading performance and brand development, we consider brand value as a proxy for relational capital. The main research goal is to extend the previous literature on intellectual capital, financial performance and brand management by elaborating and testing an original approach for valuating corporate brands using regression analysis on multiples based on firm-specific accounting data and market information.

The authors propose two econometric models, for both listed and non-listed companies, which consider brand valuations made by primary consulting entities (Interbrand, Brand Finance, BrandZ, European Brand Institute) and multiples derived from accounting and market data of firms. Models were tested on a sample of nonfinancial firms for the period from 2006 to 2019, distinguishing between IAS/IFRS-based and US GAAP-based reporting standards.

The empirical results show that the identified set of market and accounting multiples proved to be significant information for estimating the value of brands within the IAS/IFRS framework, while a lower explanatory power was assessed for US GAAP firms. Furthermore, the empirical evidence confirm that the direct, relative approach based on multiples is more accurate for valuating listed firms than non-listed firms. Robustness analysis demonstrates that findings do not change significantly when the reference datasets and the main assumptions of the models are altered.

The statistical significance of the analysis is limited by the non-objective nature of brand value estimates. The use of additional sources for brand valuations might allow for the further assessment of the robustness of the relationships identified.

Due to their efficacy and ease of use, the proposed models represent valid practical tools for managers, investors, analysts and professional evaluators.

This work contributes to the existing literature through the identification of significant, stable relationships between brand values and the main economic, financial and asset characteristics of firms; the identification of those relationships would allow for the extension of the multiples approach also to the evaluation of brands.