Vítor João Pereira Domingues Martinho – författare

This Brief discusses impacts of the COVID-19 pandemic on the Portuguese tourism sector. Taking into account real-world conditions and the importance of the tourism sector for the Portuguese economy, this book highlights the economic contexts of tourism in Portugal at the regional and municipal levels, discussing pre-pandemic economic frameworks and projecting potential implications for the future. Using data provided by Statistics Portugal, the Brief performs econometric analysis on three cases: new paradigms for overnight stays and guests, changes in tourism revenues and prospective alternatives, and a comparison of effects on changes in number of guests and overnight stays at the regional level. Providing cutting edge analysis of a dynamic global situation, this Brief will be useful for researchers interested in tourism economics and European economics as well as policymakers and industry professionals.

This book explores the relationships between the energy costs and other farm variables in the European Union (including the UK) over a recent period of six years. It examines labour, farm land area, outputs/inputs, investments, assets, taxes, and subsidies in the context of policy measures and the farm structure.

The book provides a deep insight into how energy cost and other factors in the farming sector relate to each other and as a result how farm planning can be made more efficient, more environmentally sustainable and more competitive. It will be of interest to policy-makers, governments, researchers and advanced students of economics, policy and the environment.

This book describes the impact of Era 4.0 on the agricultural sector worldwide. It highlights the relationships between agriculture, food and industry (4.0). The main topics discussed are those associated with IoT in various sectors of the economy and its impact on farming sustainability. this book provides insights for policy makers, students, researchers and economic stakeholders.

This book gives insights into the agricultural policies in several countries located in different continents. It is of interest to students, researchers, and policy and decision makers.

Given the particularities of agriculture, agricultural policies are indispensable for an adjusted development of farms according to the strategic objectives of each country, namely the socio-economic and environmental ones. The question that often arises is whether the practical effects of the various policy measures are in accordance with their design and what is the effect of these policy instruments among many other causes of structural and technological change.

The aim of this book is to describe the main agricultural policies that have been implemented in countries such as the United States of America, Brazil, China, India, South Africa, Australia, as well as the European Union. It also aims to analyse the real impact of these policies on the structural and technological changes of farms in the European Union. As its methodology, the book considers bibliometric analysis, literature review and statistical approaches.

This book assesses the main interrelationships between economic growth processes, life cycle sustainability assessment approaches, and new technologies in the framework of digital transition. In other words, it aims to highlight how sustainability assessment methodologies and artificial intelligence can better support different actors for more sustainable economic growth. Readers of the book would benefit from diverse perspectives on the contributions of evaluation methodologies and digital technologies to more sustainable economic growth. This is important especially for students, policymakers and public institutions. Economic growth is analysed using the concepts of sigma and beta convergence from neoclassical theory and the Verdoorn law of Keynesian development. For sustainability assessments, the book considers methodologies associated with social life cycle assessment and life cycle cost analysis. In the context of digital technologies, special emphasis is given to machine anddeep learning approaches.

This book presents machine learning approaches to identify the most important predictors of crucial variables for dealing with the challenges of managing production units and designing agriculture policies. The book focuses on the agricultural sector in the European Union and considers statistical information from the Farm Accountancy Data Network (FADN).

Presently, statistical databases present a lot of information for many indicators and, in these contexts, one of the main tasks is to identify the most important predictors of certain indicators. In this way, the book presents approaches to identifying the most relevant variables that best support the design of adjusted farming policies and management plans. These subjects are currently important for students, public institutions and farmers. To achieve these objectives, the book considers the IBM SPSS Modeler procedures as well as the respective models suggested by this software.

The book is read by students in production engineering, economics and agricultural studies, public bodies and managers in the farming sector.