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This volume is written primarily for agricultural economists doing research on productivity. It includes discussions of the theoretical underpinnings of productivity measurement as well as the many practical considerations that go into translating this theory into actual measures of aggregated outputs and inputs. The unifying concept of agricultural productivity used across the chapters of this volume is aggregate total factor productivity (TFP) of the sector. The volume also contains detailed analysis of the underlying causes of agricultural productivity growth. Part I (chapters 2-6) examines agricultural productivity in high-income and transition countries. Part II (chapters 7-11) examines agricultural productivity growth and its driving forces in five important agricultural producers in Asia and Latin America. Part III (chapters 12-14) focuses on measuring and identifying constraints to agricultural productivity growth in sub-Saharan Africa. Part IV (chapters 15-16) gives a global perspective on agricultural productivity.
Agricultural Productivity in Africa: Trends, Patterns, and Determinants presents updated and new analyses of land, labor, and total productivity trends in African agriculture. It brings together analyses of a unique mix of data sources and evaluations of public policies and development projects to recommend ways to increase agricultural productivity in Africa. This book is timely in light of the recent and ongoing growth recovery across the continent. The good news is that agricultural productivity in Africa increased at a moderate rate between 1961 and 2012, although there are variations in the rate of growth in land, labor, and total factor productivities depending on country and region. Differences in input use and capital intensities in agricultural production in the various farming systems and agricultural productivity zones also affect advancements in technology. One conclusion based on the book’s research findings derives from the substantial spatial variation in agricultural productivity. For areas with similar agricultural productivity growth trends and factors, what works well in one area can be used as the basis for formulating best-fit, location-specific agricultural policies, investments, and interventions in similar areas. This finding along with others will be of particular interest to policy- and decisionmakers.