Sustainability and firm performance : evidence from corportate and farm level

This thesis approaches the question of sustainability and firm performance. In the contemporary business model, firm performance measurement must take into account not only economic profits, but also environmental and social issues, in order to ensure the sustainable development of the firm. By using advanced methodological approaches and exploring sustainability through a holistic view, this thesis contributes significantly to sustainability performance literature. Three specific objectives have been fulfilled through three papers that constitute the main body of the present thesis. The first article aims to answer whether profitable business is compatible with balanced sustainability by investigating the relationship between the economic, social, environmental and governance performance for a sample of global firms. A canonical vine (C-vine) copula is used for this purpose. Results show the existence of a fairly strong positive relationship between economic, social and environmental performance. The corporate governance dimension is shown to have a weak relationship with the rest of the corporate social responsibility (CSR) dimensions. Important policy implications are derived from these results. The second paper investigates the relationships among performance dimensions associated with corporate social responsibility focusing on the U.S. electric utility sector. Results of a statistical copula approach suggest that economic performance of utilities is compatible with environmental, social, and governance performance. The CSR model has the potential to help U.S. electric utilities become better corporate citizens while also obtaining higher economic profits. The third paper investigates farms’ stochastic production technology as the interaction of three-main types of sub-technologies that govern, respectively, the production of agricultural commodities, environmental pollution, and social outputs of agricultural activities. The model is empirically implemented through a Data Envelopment Analysis (DEA) model. The empirical application is based on a survey of Catalan arable crop farms. On average, we find our sample farms to display high technical and social performance, while they show relatively poor environmental performance.Esta tesis aborda la cuestión de la sostenibilidad y el rendimiento de la empresa. En el modelo de negocio contemporáneo, la medición del rendimiento de la empresa debe tener en cuenta no solo las ganancias económicas, sino también las cuestiones ambientales y sociales, para garantizar el desarrollo sostenible de la empresa. Mediante el uso de enfoques metodológicos avanzados y la exploración de la sostenibilidad a través de una visión holística, esta tesis contribuye significativamente a la literatura sobre la sostenibilidad. Tres objetivos específicos se han cumplido a través de tres documentos que constituyen el cuerpo principal de la presente tesis. El primer artículo tiene como objetivo responder si el negocio rentable es compatible con la sostenibilidad equilibrada, mediante la investigación de la relación entre el desempeño económico, social, medio-ambiental y de gobernanza de una muestra de empresas globales. Un modelo canónico de viña de copulas (C-vine) se usa para este propósito. Los resultados muestran la existencia de una relación positiva bastante fuerte entre el desempeño económico, social y ambiental. Se muestra que la dimensión de gobernanza corporativa tiene una relación débil con el resto de las dimensiones de la responsabilidad social corporativa (RSC). Importantes implicaciones de política se derivan de estos resultados. El segundo articulo investiga las relaciones entre las dimensiones de desempeño asociadas con la responsabilidad social corporativa que se centran en el sector de servicios eléctricos de los EE. UU. Los resultados obtenidos del análisis de las cópulas sugieren que el desempeño económico de las empresas eléctricas es compatible con el desempeño ambiental, social y de gobernanza. El modelo de la RSC tiene el potencial de ayudar a que los servicios eléctricos de los EE. UU. Se conviertan en mejores ciudadanos corporativos mientras se logran mayores beneficios económicos. El tercer trabajo investiga la tecnología de producción estocástica de las explotaciones agrícolas como una interacción de tres sub-tecnologías que gobiernan, respectivamente, la producción de productos agrícolas, la contaminación ambiental y los productos sociales de las actividades agrícolas. El modelo se implementa empíricamente a través de un modelo de Análisis Envolvente de Datos (DEA). La aplicación empírica se basa en una encuesta de explotaciones de cultivos en la región de Cataluña. En promedio, encontramos que nuestras explotaciones muestran un alto desempeño técnico y social, mientras que muestran un desempeño ambiental relativamente pobre

Sustainability Analysis and Environmental Decision-Making Using Simulation, Optimization, and Computational Analytics

Effective environmental decision-making is often challenging and complex, where final solutions frequently possess inherently subjective political and socio-economic components. Consequently, complex sustainability applications in the “real world” frequently employ computational decision-making approaches to construct solutions to problems containing numerous quantitative dimensions and considerable sources of uncertainty. This volume includes a number of such applied computational analytics papers that either create new decision-making methods or provide innovative implementations of existing methods for addressing a wide spectrum of sustainability applications, broadly defined. The disparate contributions all emphasize novel approaches of computational analytics as applied to environmental decision-making and sustainability analysis – be this on the side of optimization, simulation, modelling, computational solution procedures, visual analytics, and/or information technologies

Forecasting: theory and practice

Forecasting has always been in the forefront of decision making and planning. The uncertainty that surrounds the future is both exciting and challenging, with individuals and organisations seeking to minimise risks and maximise utilities. The lack of a free-lunch theorem implies the need for a diverse set of forecasting methods to tackle an array of applications. This unique article provides a non-systematic review of the theory and the practice of forecasting. We offer a wide range of theoretical, state-of-the-art models, methods, principles, and approaches to prepare, produce, organise, and evaluate forecasts. We then demonstrate how such theoretical concepts are applied in a variety of real-life contexts, including operations, economics, finance, energy, environment, and social good. We do not claim that this review is an exhaustive list of methods and applications. The list was compiled based on the expertise and interests of the authors. However, we wish that our encyclopedic presentation will offer a point of reference for the rich work that has been undertaken over the last decades, with some key insights for the future of the forecasting theory and practice

Risk Management for the Future

A large part of academic literature, business literature as well as practices in real life are resting on the assumption that uncertainty and risk does not exist. We all know that this is not true, yet, a whole variety of methods, tools and practices are not attuned to the fact that the future is uncertain and that risks are all around us. However, despite risk management entering the agenda some decades ago, it has introduced risks on its own as illustrated by the financial crisis. Here is a book that goes beyond risk management as it is today and tries to discuss what needs to be improved further. The book also offers some cases

Forecasting: theory and practice

Forecasting has always been at the forefront of decision making and planning. The uncertainty that surrounds the future is both exciting and challenging, with individuals and organisations seeking to minimise risks and maximise utilities. The large number of forecasting applications calls for a diverse set of forecasting methods to tackle real-life challenges. This article provides a non-systematic review of the theory and the practice of forecasting. We provide an overview of a wide range of theoretical, state-of-the-art models, methods, principles, and approaches to prepare, produce, organise, and evaluate forecasts. We then demonstrate how such theoretical concepts are applied in a variety of real-life contexts. We do not claim that this review is an exhaustive list of methods and applications. However, we wish that our encyclopedic presentation will offer a point of reference for the rich work that has been undertaken over the last decades, with some key insights for the future of forecasting theory and practice. Given its encyclopedic nature, the intended mode of reading is non-linear. We offer cross-references to allow the readers to navigate through the various topics. We complement the theoretical concepts and applications covered by large lists of free or open-source software implementations and publicly-available databases.info:eu-repo/semantics/publishedVersio

Forecasting: theory and practice

Forecasting has always been at the forefront of decision making and planning. The uncertainty that surrounds the future is both exciting and challenging, with individuals and organisations seeking to minimise risks and maximise utilities. The large number of forecasting applications calls for a diverse set of forecasting methods to tackle real-life challenges. This article provides a non-systematic review of the theory and the practice of forecasting. We provide an overview of a wide range of theoretical, state-of-the-art models, methods, principles, and approaches to prepare, produce, organise, and evaluate forecasts. We then demonstrate how such theoretical concepts are applied in a variety of real-life contexts. We do not claim that this review is an exhaustive list of methods and applications. However, we wish that our encyclopedic presentation will offer a point of reference for the rich work that has been undertaken over the last decades, with some key insights for the future of forecasting theory and practice. Given its encyclopedic nature, the intended mode of reading is non-linear. We offer cross-references to allow the readers to navigate through the various topics. We complement the theoretical concepts and applications covered by large lists of free or open-source software implementations and publicly-available databases