The Global Entrepreneurship Index contributes to our understanding of economic development by constructing an index (GEINDEX) that examines the essence of the contextual features of entrepreneurship and fills a gap in the measure of development.

This brief presents a detailed look at the entrepreneurial ecosystem of nations around the world by combining individual data with institutional components. Presenting data from the 2018 Global Entrepreneurship and Development Index (GEDI), which measures the quality and scale of entrepreneurial process from 137 countries world-wide, this book provides a rich understanding of entrepreneurship and a more precise means to measure it. The novelty of the GEDI 2018 edition is the examination of the connection between the GEDI score and the computed total factor productivity (TFP) values. The Global Entrepreneurship and Development Index is an annual index (composite indicator) that measures the health of the entrepreneurship ecosystems in a given country. The authors have identified 14 components (or pillars) that are important for the health of entrepreneurial ecosystems, identified data to capture each , and used this data to calculate three levels of scores for a given country: the overall GEDI score, scores for Individuals and Institutions, and pillar level scores (which measure the quality of each of the 14 components).

This brief presents a detailed look at the entrepreneurial ecosystem of nations around the wold by combining individual data with institutional components. Presenting data from the 2017 Global Entrepreneurship and Development Index (GEDI), which measures the quality and scale of entrepreneurial process from 137 countries world-wide, this book provides a rich understanding of entrepreneurship and a more precise means to measure it. In addition to yearly data and comparison, this 2017 edition also explores the digital entrepreneurial ecosystem and provides a detailed analysis of two measurements of entrepreneurship: the GEDI and the Total Early-Stage Entrepreneurial Activity (TEA) measure. Whereas developed countries will be challenged to increase their economic productivity to sustain current standards of living as their populations rapidly age, developing economies will need to integrate more than two billion young adults into the world economy by 2050. How can more than one billion jobs be created in the developing world within this timeframe, especially in the least developed countries, where poverty and massive unemployment are already dominant facts of economic life? How can we measure, monitor, and build the ecosystems to produce such growth? The GEDI is designed to profile national systems of entrepreneurship. It links institutions and agents through a National Entrepreneurial System (ecosystem) in which each biotic and abiotic component is reinforced by the other at the country level. The resulting data gives policymakers a tool for understanding the entrepreneurial strengths and weaknesses of their countries’ economies, thereby enabling them to implement policies that foster productive entrepreneurship. The GEDI also helps governments harness the power of entrepreneurship to add these types of challenges.

This volume captures the context features of entrepreneurship and fills a gap in the measurement of development. Building on recent advances in entrepreneurship and economic development, the authors have created an index that offers a measure of the quality of the business formation process in 120 of the most important countries in the world. The authors expertly capture the contextual feature of entrepreneurship by focusing on entrepreneurial attitudes, entrepreneurial abilities and entrepreneurial aspirations. The data and their contribution to the business formation process are supported by three decades of research into entrepreneurship across a host of countries. The Global Entrepreneurship and Development Index is a construction of individual and institutional measures that integrates 31 variables from various data sources into 15 pillars, three sub-indexes and a 'super index'. The relationship between entrepreneurship and economic development appears to be more or less mildly S-shaped. The findings suggest moving away from simple measures of entrepreneurship across countries illustrating a U-shaped or L-shaped relationship to more complex measures, which are positively related to development. The model has important implications for development policy. This unique book will be invaluable for researchers, policymakers and entrepreneurs keen to expand their understanding of entrepreneurship and development.

This book takes the reader beyond net effects and main and interaction effects thinking and methods. Complexity theory includes the tenet that recipes are more important than ingredients—any one antecedent (X) condition is insufficient for a consistent outcome (Y) (e.g., success or failure) even though the presence of certain antecedents may be necessary. A second tenet: modeling contrarian cases is useful because a high or low score for any given antecedent condition (X) associates with a high Y, low Y, and is irrelevant for high/low Y in some recipes in the same data set. Third tenet: equifinality happens—several recipes indicate high/low outcomes.

This volume discusses the seminal interface between social entrepreneurship and sustainable development along with their inter-linkages. It traces the role of social entrepreneurship and innovations in societal transformation in creating sustainable societies, especially in developing nations. It explores how social entrepreneurship and enterprise is integral to the promise of fostering opportunities for socially disadvantaged groups (including the poor, women, and young people), as well as in addressing environmental and ecological issues apart from wealth creation. The book presents key concepts, case studies, and multiple innovative models involving social entrepreneurship, such as green financing, serial social entrepreneurship, sustainable livelihood creation, and well-being, in addition to highlighting global sustainable development goals of the United Nations. The chapters are organised under the broad themes of sustainability of the organisation, sustainability of the community, sustainability of the development, and sustainability of the community–organisation interface. They examine social change, social innovation, social enterprise, small and micro-enterprises, microfinance institutions, inclusive growth, education, productivity, physical health, waste management, energy retention, self-reliance, and corporate social responsibility. They contain emerging research issues in the field as well as critical assessments while bringing together theoretical and practitioners’ perspectives. This book will be useful to scholars and researchers of development studies, social entrepreneurship, sustainable development, environmental studies, public policy, and political sociology. It will also greatly interest professionals from non-profit, corporate, and public sectors, other development practitioners, and international bodies.

This innovative book proposes new methodologies for the measurement of entrepreneurship by applying techniques of demography, engineering, mathematics and statistics. Using the data from the Global Entrepreneurship Monitor (GEM), statistical demographic techniques are used for the evaluation of data quality (EDQ), and a new methodology for the estimation of Specific Entrepreneurship Rates (SER) and the Global Entrepreneurship Rate (GER) is proposed. At the same time the authors present artificial intelligence techniques such as Fuzzy Time Series (FTS) to forecast data series of the entrepreneurial population. Finally, they present a case study of the implementation of Big Data in Entrepreneurship using GEM data that shows the latest technological trends for the management of data, in support of making more accurate decisions. Being a methodological book, the techniques presented can be applied to any dataset in different areas. Readers will learn new methodologies of analysis and measurement of entrepreneurship using data from the Global Entrepreneurship Monitor. They will be able to access the experience of the authors through each of the applied cases in which the reader is taken by the hand, both through the scientific method and through the methodology of construction of more accurate metrics in entrepreneurship, with less error. This book will be of value to students at an advanced level, academics and researchers in the fields of Entrepreneurship, Business Analytics and Research Methodology.