The Little Green Data Book is a pocket-sized ready reference on key environmental data for over 200 countries. Key indicators are organized under the headings of agriculture, forestry, biodiversity, oceans, energy, emission and pollution, and water and sanitation. For the second year, The Little Green Data Book presents a new set of ocean-related indicators, highlighting the role of oceans in economic development.

The Little Green Data Book is a pocket-sized ready reference on key environmental data for over 200 countries. Key indicators are organized under the headings of agriculture, forestry, biodiversity, oceans, energy, emission and pollution, and water and sanitation.

The Little Green Data Book 2016 is a pocket-sized ready reference on key environmental data for over 200 countries. Key indicators are organized under the headings of agriculture, forestry, biodiversity, oceans, energy, emission and pollution, and water and sanitation. For the third year, The Little Green Data Book presents a new set of ocean-related indicators, highlighting the role of oceans in economic development.

The Little Green Data Book 2017 is based on World Development Indicators 2017 and its online database. Defining, gathering, and disseminating international statistics is a collective effort of many people and organizations. The indicators presented in World Development Indicators are the fruit of decades of work at many levels, from the field workers who administer censuses and household surveys to the committees and working parties of the national and international statistical agencies that develop the nomenclature, classifications, and standards fundamental to the international statistical system. Nongovernmental organizations have also made important contributions. We are indebted to the World Development Indicators partners, as detailed in World Development Indicators 2017 .

A thoroughly politically incorrect pocket guide satirizing everything that is wrong with the green movement promises that it is not made from recycled paper while citing the inconsistencies, impracticality and hypocrisy of ludicrous environmental agendas. 30,000 first printing.

In 2011 the World Bank—with funding from the Bill and Melinda Gates Foundation—launched the Global Findex database, the world's most comprehensive data set on how adults save, borrow, make payments, and manage risk. Drawing on survey data collected in collaboration with Gallup, Inc., the Global Findex database covers more than 140 economies around the world. The initial survey round was followed by a second one in 2014 and by a third in 2017. Compiled using nationally representative surveys of more than 150,000 adults age 15 and above in over 140 economies, The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution includes updated indicators on access to and use of formal and informal financial services. It has additional data on the use of financial technology (or fintech), including the use of mobile phones and the Internet to conduct financial transactions. The data reveal opportunities to expand access to financial services among people who do not have an account—the unbanked—as well as to promote greater use of digital financial services among those who do have an account. The Global Findex database has become a mainstay of global efforts to promote financial inclusion. In addition to being widely cited by scholars and development practitioners, Global Findex data are used to track progress toward the World Bank goal of Universal Financial Access by 2020 and the United Nations Sustainable Development Goals. The database, the full text of the report, and the underlying country-level data for all figures—along with the questionnaire, the survey methodology, and other relevant materials—are available at www.worldbank.org/globalfindex.

The Little Green Data Book is a pocket-sized ready reference on key environmental data for over 200 countries. Key indicators are organized under the headings of agriculture, forestry, biodiversity, oceans, energy, emission and pollution, and water and sanitation. For the second year, The Little Green Data Book presents a new set of ocean-related indicators, highlighting the role of oceans in economic development.

What really goes on inside a sentence? What is your subject, and where is your verb, and what is its tense, and where is your modifier, and why does it matter? Where do you need a comma, and where do you not? Why are dashes and semicolons so misunderstood? When is it which and when is it that? In The Little Green Grammar Book, Mark Tredinnick asks and answers the tough grammar questions - big and small - with the same verve and authority readers encountered in The Little Red Writing Book. The Little Green Grammar Book does for grammar what The Little Red Writing Book did for style. It will have you writing like a writer in no time.

As we confront the challenges of climate change, author James George calls us to wake up and stop our careless treatment of our planet before it's too late. At the same time, he shares his own practice towards waking up-the practice of Presence, known to all spiritual paths and simply and eloquently presented in this book.From [i]The Little Green book on Awakening[/i]: To become aware of the omnipresence of Consciousness may be the next great leap in human evolution and the foundation of the new paradigm in which both science and spirituality can find common ground. For consciousness is the field that connects-not separates-everything with everything, at all levels, and everything with the All, in one Wholeness.

This volume introduces the basic concepts of Exponential Random Graph Modeling (ERGM), gives examples of why it is used, and shows the reader how to conduct basic ERGM analyses in their own research. ERGM is a statistical approach to modeling social network structure that goes beyond the descriptive methods conventionally used in social network analysis. Although it was developed to handle the inherent non-independence of network data, the results of ERGM are interpreted in similar ways to logistic regression, making this a very useful method for examining social systems. Recent advances in statistical software have helped make ERGM accessible to social scientists, but a concise guide to using ERGM has been lacking. This book fills that gap, by using examples from public health, and walking the reader through the process of ERGM model-building using R statistical software and the statnet package. An Introduction to Exponential Random Graph Modeling is a part of SAGE’s Quantitative Applications in the Social Sciences (QASS) series, which has helped countless students, instructors, and researchers learn cutting-edge quantitative techniques.