Agricultural Productivity and Producer Behavior


Book Description

Agricultural yields have increased steadily in the last half century, particularly since the Green Revolution. At the same time, inflation-adjusted agricultural commodity prices have been trending downward as increases in supply outpace the growth of demand. Recent severe weather events, biofuel mandates, and a switch toward a more meat-heavy diet in emerging economies have nevertheless boosted commodity prices. Whether this is a temporary jump or the beginning of a longer-term trend is an open question. Agricultural Productivity and Producer Behavior examines the factors contributing to the remarkably steady increase in global yields and assesses whether yield growth can continue. This research also considers whether agricultural productivity growth has been, and will be, associated with significant environmental externalities. Among the topics studied are genetically modified crops; changing climatic factors; farm production responses to government regulations including crop insurance, transport subsidies, and electricity subsidies for groundwater extraction; and the role of specific farm practices such as crop diversification, disease management, and water-saving methods. This research provides new evidence that technological as well as policy choices influence agricultural productivity.







An Introduction to Efficiency and Productivity Analysis


Book Description

Softcover version of the second edition Hardcover. Incorporates a new author, Dr. Chris O'Donnell, who brings considerable expertise to the project in the area of performance measurement. Numerous topics are being added and more applications using real data, as well as exercises at the end of the chapters. Data sets, computer codes and software will be available for download from the web to accompany the volume.




Productivity Growth in Agriculture


Book Description

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.




A Practitioner's Guide to Stochastic Frontier Analysis Using Stata


Book Description

A Practitioner's Guide to Stochastic Frontier Analysis Using Stata provides practitioners in academia and industry with a step-by-step guide on how to conduct efficiency analysis using the stochastic frontier approach. The authors explain in detail how to estimate production, cost, and profit efficiency and introduce the basic theory of each model in an accessible way, using empirical examples that demonstrate the interpretation and application of models. This book also provides computer code, allowing users to apply the models in their own work, and incorporates the most recent stochastic frontier models developed in academic literature. Such recent developments include models of heteroscedasticity and exogenous determinants of inefficiency, scaling models, panel models with time-varying inefficiency, growth models, and panel models that separate firm effects and persistent and transient inefficiency. Immensely helpful to applied researchers, this book bridges the chasm between theory and practice, expanding the range of applications in which production frontier analysis may be implemented.




Agricultural research in Southeast Asia: A cross-country analysis of resource allocation, performance, and impact on productivity


Book Description

Southeast Asia made considerable progress in building and strengthening its agricultural R&D capacity during 2000–2017. All of the region’s countries reported higher numbers of agricultural researchers, improvements in their average qualification levels, and higher shares of women participating in agricultural R&D. In contrast, regional agricultural research spending remained stagnant, despite considerable growth in agricultural output over time. As a result, Southeast Asia’s agricultural research intensity—that is, agricultural research spending as a share of agricultural GDP—steadily declined from 0.50 percent in 2000 to just 0.33 percent in 2017. Although the extent of underinvestment in agricultural research differs across countries, all Southeast Asian countries invested below the levels deemed attainable based on the analysis summarized in this report. The region will need to increase its agricultural research investment substantially in order to address future agricultural production challenges more effectively and ensure productivity growth. Southeast Asia’s least developed agricultural research systems (Cambodia, Laos, and Myanmar) are characterized by low scientific output and researcher productivity as a direct consequence of severe underfunding and lack of sufficient well-qualified research staff. While Malaysia and Thailand have significantly more developed agricultural research systems, they still report key inefficiencies and resource constraints that require attention. Indonesia, the Philippines, and Vietnam occupy intermediate positions between these two groups of high- and low-performing agricultural research systems. Growing national economies, higher disposable incomes, and changing consumption patterns will prompt considerable shifts in levels of agricultural production, consumption, imports, and exports across Southeast Asia over the next 20 to 30 years. The resource-allocation decisions that governments make today will affect agricultural productivity for decades to come. Governments therefore need to ensure the research they undertake is responsive to future challenges and opportunities, and aligned with strategic development and agricultural sector plans. ASTI’s projections reveal that prioritizing investment in staple crops will still trigger fastest agricultural productivity growth in Laos. However, Indonesia, Malaysia, and Vietnam could achieve faster growth over the next 30 years by prioritizing investment in research focused on fruit, vegetables, livestock, and aquaculture. In Cambodia, Myanmar, and Thailand, the choice between focusing on staple crops versus high-value commodities was less pronounced, but projections did indicate that prioritizing investments in oil crop research would trigger significantly lower growth in agricultural productivity.




More Crop Per Drop


Book Description

This volume is an analytical summary and a critical synthesis of research at the International Water Management Institute over the past decade under its evolving research paradigm known popularly as 'more crop per drop'. The research synthesized here covers the full range of issues falling in the larger canvas of water-food-health-environment interface. Besides its immediate role in sharing knowledge with the research, donor, and policy communities, this volume also has a larger purpose of promoting a new way of looking at the water issues within the broader development context of food, livelihood, health and environmental challenges. More crop per drop: Revisiting a research paradigm contrasts the acquired wisdom and fresh thinking on some of the most challenging water issues of our times. It describes new tools, approaches, and methodologies and also illustrates them with practical application both from a global perspective and within the local and regional contexts of Asia and Africa. Since this volume brings together all major research works of IWMI, including an almost exhaustive list of citations, in one single set of pages, it is very valuable not only as a reference material for researchers and students but also as a policy tool for decision-makers and development agencies.




Climate Variability and Agriculture


Book Description

The nature of variability/change of important climatic parameters over some parts of the tropics such as the Indian region have been extensively studied and documented. However, there the major lacunae in the knowledge of the variability change over important regions of the South Asian Monsoon such as Bangladesh, Sri Lanka and Pakistan. The assessments of possible impact of global climate change on critical resources such as agricultural productivity are based on a combination of results from climate model runs for enhanced greenhouse gases and crop models. The uncertainties of climate model predictions on regional scale are, however, well known. Further, there are large inter-model differences in yield predictions even for the same climatic data.




Benchmarking with DEA, SFA, and R


Book Description

This book covers recent advances in efficiency evaluations, most notably Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA) methods. It introduces the underlying theories, shows how to make the relevant calculations and discusses applications. The aim is to make the reader aware of the pros and cons of the different methods and to show how to use these methods in both standard and non-standard cases. Several software packages have been developed to solve some of the most common DEA and SFA models. This book relies on R, a free, open source software environment for statistical computing and graphics. This enables the reader to solve not only standard problems, but also many other problem variants. Using R, one can focus on understanding the context and developing a good model. One is not restricted to predefined model variants and to a one-size-fits-all approach. To facilitate the use of R, the authors have developed an R package called Benchmarking, which implements the main methods within both DEA and SFA. The book uses mathematical formulations of models and assumptions, but it de-emphasizes the formal proofs - in part by placing them in appendices -- or by referring to the original sources. Moreover, the book emphasizes the usage of the theories and the interpretations of the mathematical formulations. It includes a series of small examples, graphical illustrations, simple extensions and questions to think about. Also, it combines the formal models with less formal economic and organizational thinking. Last but not least it discusses some larger applications with significant practical impacts, including the design of benchmarking-based regulations of energy companies in different European countries, and the development of merger control programs for competition authorities.




Economic Models of Tropical Deforestation: A Review


Book Description

Types of economic deforestation models. Household and firm-level models. Regional-level models. National and macro-level models. Priority areas for future research.