This book analyses the household demand for consumer goods using a diverse database, consisting of 45 developed and developing countries. Household consumption patterns have undergone dramatic changes due to rapid economic growth, increasing household income and changing demographics. Using the most recent data available and the latest econometric techniques, the authors model demand for 12 different commodities such as food, alcohol and tobacco, housing, health, transport, health communication, and recreation and provide insightful comparisons of consumption patterns in developed and developing countries. The analysis presented in this book highlights valuable policy insights for planning government budgetary allocations and implementing policies towards an enhanced standard of living for people. The book also provides some important guidance for researchers interested in the theory and empirical application of the analysis of consumer demand.

This book is the first to present an extensive analysis of the international evidence for the similarities of the consumption patterns of such controversial commodities as alcohol, tobacco and marijuana, using recent data from a number of developed and less developed countries over a number of years. The book also presents analysis of the consumption patterns of food in general and soft drinks in particular. In addition the book provides a detailed analysis of the consumption restrictions and regulations in place in various countries in relation to issues associated with taxation, availability, and marketing of these products. The book's focus is on rigorous empirical analysis and presents the estimates of demand elasticities of these five commodities across different countries. Such estimates are key inputs for government economic models that are used for the purpose of social policy analysis. Furthermore, the book presents hypothesis testing results on various demand theory hypotheses such as demand homogeneity and Slutsky symmetry.

This insightful book analyzes the impact of Foreign Direct Investment (FDI) in China as well as making valuable contributions to the theory of FDI more broadly. The authors provide empirical analysis of key factors including the location-specific determinants of FDI; the impact of FDI on domestic investment, income distribution, consumption and tourism; the relationship between FDI inflows and income inequality; causality between FDI, domestic investment and economic growth; and causality between FDI and tourism. The study concludes that FDI plays a crucial and positive role in the economic development of China. Rather than crowding out domestic investment, FDI is found to stimulate economic growth by complementing it. China's Economic Miracle will be warmly welcomed by potential investors who are interested in investing in China. It will be highly useful for academics and postgraduate students with an interest in FDI or the Chinese economy. With strong policy-oriented analyses and discussions on implications the book will also prove invaluable to policymakers in various government and private sectors who have trade-links with China.

This book is the first to present an extensive analysis of the international evidence for the similarities of the consumption patterns of such controversial commodities as alcohol, tobacco and marijuana, using recent data from a number of developed and less developed countries over a number of years. The book also presents analysis of the consumption patterns of food in general and soft drinks in particular. In addition the book provides a detailed analysis of the consumption restrictions and regulations in place in various countries in relation to issues associated with taxation, availability, and marketing of these products. The book's focus is on rigorous empirical analysis and presents the estimates of demand elasticities of these five commodities across different countries. Such estimates are key inputs for government economic models that are used for the purpose of social policy analysis. Furthermore, the book presents hypothesis testing results on various demand theory hypotheses such as demand homogeneity and Slutsky symmetry.

BUSINESS STATISTICS, 5e, emphasises applications over theory. It illustrates the importance of statistical methods and tools for today's managers and analysts, and how to apply them to business problems using real-world data. Using a proven three-step approach, students learn how to (1) IDENTIFY the correct statistical technique - by focusing on the problem objective and data type; (2) COMPUTE the statistics - doing them by hand and using Excel; (3) INTERPRET results in the context of the problem. This unique approach enhances students’ comprehension and practical skills. Students find relevance in a wide variety of exercises and cases. Examples draw on the statistical applications used by marketing managers, financial analysts, accountants, economists, and from throughout the business world. Many students struggle with statistics. This bestselling textbook provides a robust learning pedagogy to make statistics accessible. Students find the material easy to understand and easy to apply in the business environment.

Business Statistics teaches you skills that you can use throughout your career. It illustrates how vital statistical methods and tools are for today's managers and analysts, and how to apply them to business problems using real-world data. Statistical data analysis is the backbone of sound business decision making, and finding the right tool to analyse a particular business problem is the key. The book shows you how to analyse data by focusing on the kind of problem you face, the type of data involved and the appropriate technique for solving the problem. It also includes data-driven examples, exercises and cases that cover how marketing managers, financial analysts, accountants, economists and others use statistics.

This is the fourth edition of the Selvanathans' Australian adaptation of Keller and Warrack's "Statistics for Management and Economics". This new edition of the text retains the authors' three stage approach to statistical problems: identify the correct statistical technique, compute the statistics and then interpret the results. The text's practical approach also teaches students how to apply statistics to real business problems.