Subal C. Kumbhakar

Ashok K. Mishra

Gudbrand Lien

The book addresses and documents farmers' risks in developing and emerging economies. It draws lessons from experimental economics on measuring risk preferences, attitudes, gender differences in managing risks, and risk management strategies in countries across Africa and Asia. It argues policy makers, especially in emerging economies, need a better understanding of farmers' attitudes toward risk and choices of risk management strategies when designing policies to support production agriculture. The book includes chapters on three themes: understanding risk attitudes and preferences; using experimental economics to measure risk, preferences, and risk management strategies; and understanding climate change, risk, and risk management. The book critically examines the currently held beliefs about risk preference, attitudes, and empirical estimation of risk management strategies, emphasizing developing and emerging economies (DEE). This book is ideal for students and researchers in universities and research organizations who conduct applied research on public policy, community development, and rural development, and will also be of interest to policy-makers in those fields.

A Development Perspective

Managing Risk in Agriculture

Pami Dua

Subhash C. Ray

This book provides a detailed introduction to the theoretical and methodological foundations of production efficiency analysis using benchmarking. Two of the more popular methods of efficiency evaluation are Stochastic Frontier Analysis (SFA) and Data Envelopment Analysis (DEA), both of which are based on the concept of a production possibility set and its frontier. Depending on the assumed objectives of the decision-making unit, a Production, Cost, or Profit Frontier is constructed from observed data on input and output quantities and prices. While SFA uses different maximum likelihood estimation techniques to estimate a parametric frontier, DEA relies on mathematical programming to create a nonparametric frontier. Yet another alternative is the Convex Nonparametric Frontier, which is based on the assumed convexity of the production possibility set and creates a piecewise linear frontier consisting of a number of tangent hyper planes. Three of the papers in this volume provide a detailed and relatively easy to follow exposition of the underlying theory from neoclassical production economics and offer step-by-step instructions on the appropriate model to apply in different contexts and how to implement them. Of particular appeal are the instructions on (i) how to write the codes for different SFA models on STATA, (ii) how to write a VBA Macro for repetitive solution of the DEA problem for each production unit on Excel Solver, and (iii) how to write the codes for the Nonparametric Convex Frontier estimation. The three other papers in the volume are primarily theoretical and will be of interest to PhD students and researchers hoping to make methodological and conceptual contributions to the field of nonparametric efficiency analysis.

A Production Frontier Approach

Benchmarking for Performance Evaluation

C. A. Knox Lovell

This book develops econometric techniques for the estimation of production, cost and profit frontiers, and for the estimation of the technical and economic efficiency with which producers approach these frontiers. Since these frontiers envelop rather than intersect the data, and since the authors continue to maintain the traditional econometric belief in the presence of external forces contributing to random statistical noise, the work is titled Stochastic Frontier Analysis. Hb ISBN (2000): 0-521-48184-8

Stochastic Frontier Analysis

Robert G. Chambers

This three-volume handbook includes state-of-the-art surveys in different areas of neoclassical production economics. Volumes 1 and 2 cover theoretical and methodological issues only. Volume 3 includes surveys of empirical applications in different areas like manufacturing, agriculture, banking, energy and environment, and so forth.

Handbook of Production Economics

Hung-Jen Wang

Alan P. Horncastle

This book provides practitioners with a step-by-step guide on how to conduct efficiency analysis using the stochastic frontier approach.

Subal C. Kumbhakar

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