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The purpose of this paper is to identify the causal (not correlational) effect of women’s entrepreneurship on corporate social responsibility (CSR) practices in Latin America.

This study builds on a hitherto unexploited sparse data set on Latin American B Corporations to identify the causal relationship of interest and on a (synthetic) instrumental variable method.

The results confirm that women’s entrepreneurship has a positive causal effect on social responsibility. This study finds that an increase of 1% in the proportion of women entrepreneurs leads to an increase of 0.5 in the B Impact Assessment score, the CSR indicator.

This study contributes to the literature by providing robust statistical evidence of a causal relationship between women entrepreneurs and social responsibility practices in the Latin American context. This research captures the multidimensional nature of social responsibility by using a comprehensive and vast metric of CSR obtained from the data of the B Impact Assessment tool. This study illustrates how machine learning methods can be used to address the lack of structure of the Latin American B Impact Assessment data.

El propósito de esta investigación es identificar el efecto causal (no correlacional) del emprendimiento de mujeres en las prácticas de responsabilidad social empresarial (RSE) en América Latina.

Nos basamos en un conjunto de datos escasamente explorado hasta el momento sobre las Empresas B en América Latina para identificar la relación causal de interés, y utilizamos un método de Variables Instrumentales (VI) sintéticas.

Nuestros resultados verifican el efecto causal positivo del emprendimiento de las mujeres en la responsabilidad social. Descubrimos que un aumento del 1% en la proporción de mujeres emprendedoras conduce a un aumento de 0.5 en la puntuación de la Evaluación de Impacto B, nuestro indicador de RSE.

Contribuimos a la literatura proporcionando evidencia estadística sólida de una relación causal entre emprendedoras mujeres y prácticas de responsabilidad social en el contexto de América Latina. Esta investigación captura la naturaleza multidimensional de la responsabilidad social mediante el uso de una métrica amplia y vasta de RSE obtenida de los datos de la herramienta de Evaluación de Impacto B. Ilustramos cómo se pueden utilizar métodos de aprendizaje automático para abordar la falta de estructura de los datos de evaluación de impacto B en América Latina.

O propósito desta pesquisa é identificar o efeito causal (não correlacional) do empreendedorismo feminino nas práticas de responsabilidade social corporativa (RSC) na América Latina.

Baseamo-nos em um conjunto de dados escasso até então não explorado sobre as Empresas B na América Latina para identificar a relação causal de interesse, e utilizamos um método de Variáveis Instrumentais (VI) sintéticas.

Nossos resultados verificam o efeito causal positivo do empreendedorismo feminino na responsabilidade social. Descobrimos que um aumento de 1% na proporção de mulheres empreendedoras leva a um aumento de 0,5 no escore de Avaliação de Impacto B, nosso indicador de RSC.

Contribuímos para a literatura fornecendo evidências estatísticas robustas de uma relação causal entre empreendedoras mulheres e práticas de responsabilidade social na América Latina. Esta pesquisa captura a natureza multidimensional da responsabilidade social usando uma métrica abrangente e vasta de RSC obtida a partir dos dados da ferramenta de Avaliação de Impacto B. Ilustramos como métodos de aprendizado de máquina podem ser usados para lidar com a falta de estrutura dos dados de avaliação de impacto B na América Latina.

The purpose of this paper is to estimate the impact of one productive development program (PROPYME) in a developing nation like Costa Rica. This program seeks to increase the capacity of small and medium-sized firms (SMEs) to innovate.

Impacts have been estimated assuming that beneficiary firms are trying to maximize their profits and that PROPYME aims to increase these firms productivity. The impacts were measured in terms of three result variables real average wages employment demand and the probability of exporting. A combination of fixed effects and propensity score matching techniques was used in estimations to correct for any selection bias. The authors worked with panel data companies treated and untreated for the period 2001-2011.

PROPYME’s beneficiaries performed better than other firms in terms of labor demand and their probability of exporting. In addition, the dose and the duration of the effects of the treatment (timing effects) are important.

The authors study the impact in ways that go beyond the average treatment effects on the treated (ATT) usually estimated in the existing literature. Specifically, the research focusses on the identification of the timing or dynamic effects (i.e. how long should we wait to see results?) and treatment intensity (dosage effects).

Se estima el impacto de un programa de desarrollo productivo (Propyme) en un país en vías de desarrollo como Costa Rica. El Propyme busca incrementar la capacidad innovadora de las pequeñas y medidas empresas (pymes) costarricenses.

el impacto se ha estimado y evaluado asumiendo que las pymes beneficiaras buscan maximizar sus beneficios y que Propyme se enfoca en incrementar la productividad de esas empresas. El impacto se valoró en función de tres variables: salarios reales medios, empleo demandado y la probabilidad de exportar. Se utilizó una combinación de técnicas de efectos fijos y emparejamiento en las estimaciones con el fin de prevenir sesgos de selección. Se trabajó con un panel de datos, incluyendo empresas tratadas (beneficiarias de Propyme) así como no tratadas para el periodo 2001-2011.

los beneficiarios de Propyme tuvieron mejor desempeño que las restantes empresas en términos de empleo demandado y su posibilidad de exportar. Adicionalmente los efectos dinámicos (dosis y duración) de los tratamientos son importantes.

este artículo evalúa el impacto de una forma que va más allá de lo usual en la literatura por medio de los efectos promedios de los tratamientos sobre los beneficiarios. Esto por cuanto se enfoca en efectos dinámicos como la duración así como la intensidad.

A summary of the economic impact resulting from the celebration of a sporting mega-event in the city of Cali, Colombia, is carried out in this article.

The impacts are estimated by means of the systematic effects produced by the activities of investment/expenditure of the identified agents and the consequent multiplying effects captured from an input-output model.

The World Games represented a new income flow to the city of Cali of $101.036 million pesos (≡US$53.4 mill.) and 9.598 jobs were created (≡7,711 full-time jobs). Additionally, 2,174 foreign tourists and 11,250 national tourists were attracted to the city.

The article contributes with innovative aspects methodologically speaking, useful for future studies of economic impact in cities with low tourism located in developing countries.

The purpose of this paper is to explore the relationship between climate change and internal migration in the Americas.

A systematic literature review type of research synthesize the state of knowledge; it was searched through the Web of Science, Scopus, Google Scholar, among other databases, for articles that focused on climate migration, gender, water stress and models for predicting movement.

Decreased water availability and increased prevalence to water-related disasters causes internal migration. Also, male out migration is quite prevalent in South American nations with women being left to take care of the families.

There is a need for further primary research to analyse what actions the Americas are taking to carve out a large policy-making space for themselves in climate change and internal migration.

The 32 papers explored in the discussion section present a novel insight into climate change, water usage, gender and internal migration. The papers also elucidate that cultural and ideological conflicts are bound to occur as the communities move with the receiving society finding it hard to accommodate the needs of the climate migrants.

Identificar los aspectos que los Actores Sociales consideran en la construcción de futuros compartidos en las comunidades. En su aplicación en los países emergentes, especialmente en el Sur Global, a menudo se pasan por alto las particularidades socioculturales de las comunidades y los actores, generando fricciones o conflictos sociales. Este artículo presenta dos elementos críticos que contribuyen al debate: a) la importancia de entender a los Actores Sociales dentro de un modelo de generación de futuros comunitarios en los países emergentes; b) los factores relevantes que influyen en los actores en un ejercicio de construcción de futuros en las comunidades.

A partir de la investigación cualitativa, se utilizó un estudio de caso de prospectiva comunitaria del futuro: El futuro de Puerto Gaitán 2037 (Meta, Colombia). Se aplicó un método de recolección de información a partir de la observación de los participantes y el análisis de la documentación. El método de análisis fue el DQA (Análisis Cualitativo Deductivo).

La participación de Los Actores Sociales presenta un modelo de cinco elementos relevantes que influyen en los actores para la construcción exitosa de futuros en las comunidades. Los primeros cuatro factores, revelados por la teoría, existen en la realidad. Asimismo, se demuestra un quinto factor: el Pensamiento a Largo Plazo, que se evidencia en un Modelo de aplicación de Estudios de Futuros para el contexto específico, aplicable al caso de comunidades en países del Sur Global.

Si bien existen ejemplos aislados de recomendaciones respecto a estudios para generar el futuro de las comunidades, este es el primer estudio que presenta factores concretos que contribuyen a orientar la construcción de futuros comunitarios desde Actores Sociales, especialmente en países del Sur Global como Colombia. También es uno de los primeros estudios en utilizar el DQA como método de análisis en un tema de Estudios de Futuros.

Being a child in an undeveloped country with a broken social structure actually means bearing the heavy burden of a precarious life and struggling to survive at an earlier age compared to the peers living in developed and wealthy countries. The majority of children in the Latin America and the Caribbean (LAC) region struggle for food, security, a good education, a good life and a better future. In LAC, a heterogeneous region in terms of economy and society, childhood mostly signifies a fragile period of an individual's life due to poverty, inequality and insecurity. Within this context, this study aims to explore the compatibility of conditional cash transfer (CCT) programmes implemented in the region to fight child poverty. The leading premises of the study are that the majority of individuals under the age of 18 strive to pursue their lives in unsuitable circumstances and that many governments take childhood and juvenile problems as a matter of concern and try to find solutions to challenges in this respect. Furthermore, the main hypothesis in this regard is that CCT programmes – though the realisation and the impacts vary depending on the countries – could produce some positive effects in fighting child poverty despite the would-be flaws in the implementation processes.

The health emergency resulting from the SARS-CoV-2 virus is a public health crisis with serious effects on all social dimensions. This chapter has estimated the effects that this pandemic could potentially have on tourism activities in Ecuador. The scenario methodology was the method of choice since it allows analyzing the environment and comparing different internal and external factors, placing them in a future context for the tourism sector. The data were obtained using the following: (1) UNWTO estimates anticipate that the pandemic will cause a decrease in tourist arrivals and income between −50% and −78% across the world; and (2) a simulation of the pandemic's possible impacts on employment, production and taxes that would cause drops of 50%, 70% and 78% in the demand for accommodation and food and beverage services that represent economic activities that are directly related to tourism.

The results confirm that in scenario 1, losses will amount to 1.327 million US dollars; in scenario 2, to 1.600 million USD; while for scenario 3, the country will stop receiving more than 1.700 million USD. Eight sectors of the economy will suffer 95% of the impact on job loss: the food and beverage service stands out from the rest, since 77 out of 10 jobs lost will come from those types of activities. The two other sectors that would suffer significant impacts would be trade and accommodation activities, which account for 8% and 5%, respectively, of the total number of jobs lost.

The growing displacement of theory and other forms of wide-ranging knowledge of social phenomena by empirical research methods in economics is widely noted by economists and historians of economic knowledge. Less attention has been devoted, however, to understand the materialization of such changes in the scientific practices. This article studies the recent transformations in the epistemological practices at CEDE, a research center in Colombia. I use a machine learning technique called Topic Modeling, interviews to CEDE researchers, and exegesis of papers to characterize a shift in the production of knowledge in microeconometrics at CEDE during the years 2000 and 2018. I explain this shift by characterizing two sets of epistemological practices that implies a recent tendency to disdain research that cannot make a “strong” causal inference.

The purpose of this study is to evaluate the impact of research and development (R&D) subsidies and tax credits on the innovative processes of Chilean firms.

Probit and tobit models for pseudo-panel with instrumental variables are estimated using data from different versions of the Innovation Survey covering the period 2007–2016.

The results show that R&D subsidies and tax credits have a statistically significant and positive effect on the probability of performing internal and external R&D, but do not affect the intensity of R&D spending, reflecting a crowding-out effect on private funds of both instruments. On the other hand, firms that simultaneously receive R&D subsidies and tax credits have a lower percentage of innovative sales. Furthermore, there are not effects statistically significant of the R&D subsidies and/or tax credits on the number of intellectual property rights applications.

It is concluded that both instruments have not been effective to encourage innovative outputs in Chilean firms.

Este estudio evalúa el impacto de los subsidios e incentivos tributarios para investigación y desarrollo (I&D) sobre los procesos innovativos de las firmas chilenas.

Se estiman modelos Probit y Tobit con variables instrumentales para pseudo-panel a partir de datos provenientes de diversas versiones de la Encuesta de Innovación que cubren el periodo 2007–2016.

Los resultados muestran que los subsidios e incentivos tributarios para I&D tienen un efecto positivo y estadísticamente significativo sobre la probabilidad de realizar I&D interna y externa, pero no afectan la intensidad del gasto en I&D lo que refleja un efecto expulsión sobre los fondos privados de ambos instrumentos. Por otro lado, las firmas que reciben simultáneamente subsidios e incentivos tributarios para I&D tienen menor porcentaje de ventas innovativas. Además, no se detecta un impacto significativo de los subsidios y/o incentivos tributarios sobre los derechos de propiedad intelectual solicitados por las firmas.

Así, se concluye que ambos instrumentos no han sido efectivos para incentivar los outputs innovativos en las firmas chilenas.

The authors use media research and crowdsourced mapping to document how the first wave of the pandemic (April–August 2020) affected the Mapuche, focussing on seven categories of events: territorial control, spiritual defence, food sovereignty, traditional health practices, political violence, territorial needs and solidarity, and extractivist expansion.

Research on the effects of the pandemic on the Mapuche and their territories is lacking; the few existing studies focus on death and infection rates but overlook how the pandemic interacts with ongoing processes of extractivism, state violence and community resistance. The authors’ pilot study addresses this gap through a map developed collaboratively by disaster scholars and Mapuche journalists.

The map provides a spatial and chronological overview of this period, highlighting the interconnections between the pandemic and neocolonialism. As examples, the authors focus on two phenomena: the creation of “health barriers” to ensure local territorial control and the state-supported expansion of extractive industries during the first months of the lockdown.

The authors intersperse our account of the project with reflections on its limitations and, specifically, on how colonial formations shape the research. Decolonising disaster studies and disaster risk reduction practice, the authors argue, is an ongoing process, bound to be flawed and incomplete but nevertheless an urgent pursuit.

In making this argument, the paper responds to the Disaster Studies Manifesto that inspires this special issue, taking up its invitation to scholars to be more reflexive about their research practice and to frame their investigations through grounded perspectives.