Abstract: This dissertation explores the role that social enterprises can play in transforming the economy. The overemphasis on economic goals has undermined social and environmental objectives, causing many of the crises we face today. To address this situation, this paper brings together the bodies of literature on the circular economy, ecological economics and local economic development to provide strategies, proposals and insights for achieving such transformation, while analysing the definition of social enterprises and using the policies of economic restructuring as a framework to conclude that the role of social enterprises is to demonstrate that it is possible to reconcile these three dimensions into sustainable, attractive and profitable business models, and to inspire other actors in the economy to apply these sustainable practices and approaches until their widespread adoption becomes the new industry standard. Resumen: Esta disertación explora el papel que pueden desempeñar las empresas sociales en la transformación de la economía. El énfasis excesivo en los objetivos económicos ha socavado los objetivos sociales y medioambientales, causando muchas de las crisis a las que nos enfrentamos hoy en día. Para hacer frente a esta situación, este trabajo reúne la literatura sobre la economía circular, la economía ecológica y el desarrollo económico local con el fin de proporcionar estrategias, propuestas y puntos de vista para lograr dicha transformación, al tiempo que analiza la definición de las empresas sociales y utiliza las políticas de reestructuración económica como marco para concluir que el papel de las empresas sociales es demostrar que es posible conciliar estas tres dimensiones en modelos de negocio sostenibles, atractivos y rentables, e inspirar a otros actores de la economía para aplicar estas prácticas y enfoques sostenibles hasta que su adopción generalizada se convierta en el nuevo estándar de la industria.

Abstract: In recent years, breweries have had to adapt the way they use resources and manage the by-products of the production chain, such as organic and packaging waste. Likewise, they’ve needed to find a way to respond to the environmental pressures of the beer industry, such as energy and water usage as well as resource depletion. Several alternatives have been proposed to face these environmental burdens, one example is the application of Circular Economy principles in the production process. This research focuses on the supply chain-related challenges that small craft breweries face when they use circular or alternative raw materials in their production chain. This research seeks to understand the circular supply chain in the brewing industry by analysing three small European breweries. Data collection consisted of multiple sources, among which were interviews. The main goal is to identify the challenges faced by the companies that switched their production methods leaning toward circularity and to find a possible way to address them. The challenges will be analysed following the Circular Business Model and the Circular Supply Chain Theoretical Approaches. The contribution of this project is in terms of management decision-making for a circular supply chain in small businesses in the food industry.

Abstract: The Pulp Fruit Imports and commercialization from Colombia to Spain Business Plan is a project that aims to support the solution of 3 main challenges in Colombia (Organic food waste, Ex-warriors from peace accords signature returning to society trough farming opportunities and life quality improvement to current farmers) while needs from Spanish consumers are satisfied. This last ones, after the pandemic, increased their awareness of consuming responsibly, which means protect their health and the environment at the same time the want enjoy a convenient and natural drink to join their meals and that allows them to continue with their life rhythm. For that reason, Amazonas Eco offers a range of exotic fruits that are transformed into pulp fruit through a local strategic partner with Bio certifications, then transported to Spain to be sold through the customer's preferred channels. This business plan includes a bibliographical study that uses Colombian and Spanish available data from different authorities combined with a filed work survey conducted to Spanish consumers that was used afterwards to develop case of study of Marketing Analysis using Statistical tools such as Multiple regression and Conjoint Analysis. These both supported to define main market trends, STEEP and Porter Analysis and marketing strategy (Segmentation, Price, Placement and Promotion). Furthermore interviews were done to a current exported and producer of pulp fruit from Colombia and to and Spanish expert profesor in logistics, these last interviews supported to define business model, Operational model and Financial forecasts. The principal market trends are explained into 3 main categories: 1. Sourcing: Exports from Colombia to the EU in organic food grew from 2019 to 2020 by 35% (European Commission) meaning almost 28.000 additional tons per year. 2. Consumption: the imports of Spain for the frozen fruit market have an average annual growth between 2012 and 2016 of 7,5% jumping from 219.000 MUSD to 291.000 MUSD in those years. (Zambrano Achi and Pozo Burgos). 3. SOM: Initially Amazonas Eco will focus in Cataluña, therefore the market size is given by the population size and the average price and consumption of nectars and fresh juices and soft drinks. Combined the total expected market size would be 75 MEUR (“Últimos datos de consumo alimentario”). After defining a reachable scope in a SOM and Colombia's production capacity the company expects sales of 100 tons/year with an income of 1.2 MEUR. The Operational model is build under 3 main pillars: Farmers, Pulp fruit producer in Colombia, then imports to Spain followed by storage in a warehouse and distributed through a third part logistics service provider reaching Organic markets (preferred channel of main segment) and consumers. Financial model is done by identifying needed assets and operational expenses using marketing analysis to defined expected sales and required inventory. With this financial statements are build for 3 years followed by Net present Value exercise and break even point. This company will request 390,000 EUR of equity. According to the assumptions the NPV of the project is positive therefore, it is decided to go forward with it. The IRR is 15% meaning that NPV will be negative when the cost of capital is higher than this. Break Even point is reachable at 75.500 kg in one year keeping the cost structure. Statement of financial positioning, comprehensive income statement and cash flow statement are built under a conservative model with the assumptions given above where an organic growth is expected for this business holding positive income and cash flow since year 1.

Abstract: South Africa remains one of the most unequal countries in the world. The current levels of inequality are the legacy of the segregation and marginalization of the vast majority of its citizenry in every aspect of South Africa’s socio- economic development before and during apartheid. Contemporary inequality literature is unambiguous about the fact that such extremely high levels of inequality are detrimental to a country’s development path and stifle a country’s potential in multiple dimensions (Wilkinson and Pickett 2010). In South Africa, poverty and inequality are often mentioned in the same breath. This elides over important conceptual differences between poverty (measured by incomes at a particular threshold) and inequality (measured by gaps between groups or individuals). Poverty is analysed as an individualized metric, the income level of a person or the level of a multi- dimensional index relative to an income or multidimensional poverty line (for a fuller discussion on poverty in South Africa see chapter 8 of this volume). On the other hand, inequality is a relational concept; one is more or less equal in relation to another (Tilly 1998). As such the analysis of poverty cannot necessarily explain the forces reproducing intergenerational inequality or poverty. Analysing inequality is better suited to unveiling the societal processes driving the provision and allocation of assets, and services and the determinants of well- being, and can better describe the forces reproducing intra-generational and intergenerational inequality. This is the task of this chapter.

Abstract: The rapid and ongoing process of urbanisation in Bogota has brought about significant socio-spatial segregation between city-dwellers. Such segregation is becoming increasingly complex as patterns of fragmentation are evolving towards a more ‘cellular’ differentiation between rich and poor –urban segregation which changes in terms of scale: from macro (neighbourhoods) to micro scales (blocks, streets). Urban segregation has been associated as a barrier for disadvantaged communities, especially when it becomes an intensifier of inequalities. Unequal access to services, availability of local employment, urban facilities, opportunities and supportive social relationships are examples of how segregation affects the distribution of quality of life, undermines attempts for social inclusion and, ultimately, creates unjust geographies. Alongside this context, public policy and measurements of quality of life have frequently overlooked spatial contexts of inequalities since a utility-based definition of well-being is often taken for granted. With the city of Bogota as a testing ground, this thesis analyses how and to what extent new patterns of urban segregation affect the distribution of capabilities and quality of life among young adults. Based on a capability place-based approach to wellbeing, this research will attempt to conceptualise urban quality of life, look at how patterns of urban segregation affect urban functionings, and quantify to what extent microsegregation explains differentials in capability achievement of quality of life among young adults in Bogota.

Abstract: QoL studies conceptualise urban well-being as a multidimensional process that is influenced by personal and environmental factors. A much less explored field in QoL has to do with the notion of capabilities and functionings as measurements to evaluate the level of quality of life that people experience in cities. By investigating the young adults category, this article develops a measurement of QoL based on the normative framework of the Capability Approach (CA) to capture urban domains that affect quality of life in Bogota. This study introduces a quantitative methodology to use secondary aggregated data to build a QoL measurement based on capabilities. A nonlinear categorical principal component analysis was used to explore the underlying factor structure of a calibration sample (n=6,998). Confirmatory Factor Analysis was conducted to validate identified factors, revealing a good fit (SRMR=0.033, CFI=0.910). The result is a Young Adult Capability Index (YACI) that empirically explores the use of capability achievements as a space for evaluating urban QoL in young adults. A multiple linear regression was calculated to predict YACI based on additional variables which are sensitive to inequality for young adults. Results show that capability scores are lower once young adults enter adulthood. Women arrive with better capabilities from childhood and adolescence than men, but rapidly undergo a marked process of decapitalisation of capabilities during their transition to adulthood, suggesting the need for more attention in the elaboration of public policies for this type of population.

Abstract: Although the analysis of urban poverty has advanced towards the integration of objective and subjective approaches to assessing urban development, evaluation of quality of life in cities remains tied to a commodity framework which conceptualises it as the mere dotation of urban amenities. Multidimensional indicators of quality of life attempt to overcome this sort of restriction by considering broader informational spaces to assess well-being in cities. The capability approach has gone some way in addressing this as a multidimensional approach, however the interpretation of spatial phenomena has been absent from its application, meaning that the role of space in the configuration of urban poverty has been neglected. Drawing on cross-sectional data, this paper examines a multidimensional measure of urban poverty based on capabilities of young adults in Bogota in order to identify clusters of deprivation and affluence of well-being and determine levels of urban segregation based on this type of metric. The result is a spatialised index of capabilities that allow us to assess well-being from a perspective of socio-spatial differences. The findings support the importance of considering spatial patterning of capabilities in understanding poverty dynamics in cities. Spatialised capabilities may help to support urban policy design and promote greater understanding of spatial inequalities in cities.

Abstract: What some practitioners coyly called Industrial Revolution 4.0 some years ago is now a reality, and it is drastically changing the way businesses are done in many industries worldwide. The European Union is no exception. Despite being a powerful region, but with conservative, traditional industries, many of these have found it necessary to implement changes in their business models to survive the digital changes. Therefore, the European Commission has prioritized the digital development of the region and the growth of all industries leveraged on the information technologies that can have the most significant impact. As the literature indicates, business models and competitive advantage are complex systems that require essential elements to function synchronously and thus generate value. Hence, cutting-edge technologies play a unique role because they become elements that transform markets and complement the current capabilities of industries and take them to a new stage of development. Therefore, it is essential to know how the adoption of different technologies is related to the economic growth of industries, which technologies generate the most value, and what is needed to drive this growth. This study makes a theoretical review of the impact of ICTs on the European economy, the actions that the European Commission has taken to promote the digital transformation. Finally, it exposes which technologies indeed positively correlate with industries' added value.

Abstract: Este artículo analiza el impacto de la política costarricense de apoyo al turismo sostenible, y en particular con el sistema de Certificación para la Sostenibilidad Turística (CST) del Instituto Costarricense de Turismo (ICT) en la innovación en servicios, procesos, mercadeo y organización de las empresas hoteleras del país. Se indagaron las causas y motivaciones para hacer cambios e introducir nuevos atributos dentro de la empresa. En la primera fase, se condujo encuestas con el 27% de todos los hoteles con declaratoria turística en Costa Rica y el 48% de los certificados con CST, para investigar los determinantes de la innovación y de la búsqueda de la certificación de sostenibilidad. Se aplicaron herramientas estadísticas para analizar diferencias entre los hoteles con y sin CST, así como la correlación de los determinantes de la innovación con el grado de innovación. Posteriormente se entrevistaron a seis hoteleros de diversos tipos para profundizar sobre las innovaciones realizadas, los determinantes y motivaciones. Los resultados indican que la certificación es un instrumento para ayudar a los gerentes a mejorar sustancialmente sus empresas, en términos de servicios, procesos, estructura interna y ahorros en agua y energía. Los hoteles con CST demuestren una tasa de ocupación 8% más alto que los hoteles no certificados, con un valor de p=0,01. No se evidenció una diferencia en innovación en mercadeo entre los hoteles con y sin CST.

Abstract: One of the strategies to improve governments’ allocation of resources, particularly when these are insufficient to meet all the public needs, is the use of targeting indices. Generally, a targeting index is a linear combination of wellbeing indicators (for example years of education, dwelling conditions, and so forth) that orders the members of the population according to their living conditions to classify and identify the beneficiaries of social programmes. The weighting method that we propose maximises a function that depends on the number of poor beneficiaries, by income and/or expenditure, given some normative restrictions. Therefore, the indices designed with this method target poor people taking into consideration not only the income dimension, but also other dimensions, such as health, nutrition, and dwelling, although they are not correlated with income and/or correlated with one another. The method for taking these dimensions into account is to specify weighting restrictions by an indicator of wellbeing. In other words, we establish maximum and minimum values for the weights according to the number of indicators and the needs of social programmes. These values maintain the balance between income-based weights and normative weights. Because of these characteristics, we call our method Maximising Poor Beneficiaries with Normative Restrictions (MPBR). The algorithm behind MPBR can maximises or minimises any function. For instance, in the first exercise of this study, it exclusively counts the number of expenditure -poor beneficiaries, and in the second it contemplates both income-poor and expenditure-poor beneficiaries, given double weight to those that meet both conditions - thus the poorest of the poor households become the first beneficiaries of social programmes-. We find that when the function to maximise counts exclusively the number of income-poor (or expenditure-poor) households before a cutoff, it is equivalent to minimising the IE (Inclusion error) and EE (Exclusion error). In fact, we theoretically and empirically demonstrate that the models that minimise the IE and EE (considering income-poor or expenditure-poor households) are probabilistic models. Therefore, we conclude that probabilistic models are a useful tool to determine approximately the minimum IE and EE that can be obtained with a set of indicators. Applying MPBR, we find that when the increase in an indicator of wellbeing statistically increases the probability of not being expenditure-poor, the weight of the indicator converges to a specific positive value to maximise the number of expenditure-poor beneficiaries; in contrast, if the increase in an indicator statistically decreases this probability, the weight of the indicator converges to the minimum allowed weight. In the case in which the indicator is not statistically significant in the probabilistic model, its weight does not converge to a specific value. However, when the weighting restrictions become stronger (for example a greater minimum weight), most of the weights converge to a value. In a comparison of MPBR with other weighting methods (for example PCA and normative method), we conclude that the index estimated with MPBR has a smaller IE and EE and distributes the weights between indicators more equitably than the indices calculated with other methods.