Author: Nicholas David Paulson Publisher: ISBN: Category : Languages : en Pages : 131
Book Description
The general theme of this dissertation is risk and uncertainty in agriculture, with each chapter addressing a specific topic related to agricultural risk and uncertainty. Chapter 2 examines the effects of production uncertainty on the types of contract structures used in specialty grain markets. A theoretical model of a contractual relationship between a monopsonistic processor and risk-neutral producers is presented. Two common contract structures, and their resulting effects on the sharing of production risk between buyer and seller, are compared. The spatial structure of yields and farm-level yield volatility are shown to have significant impacts on the processor's preferred choice of contract structure and expected profits of both the processor and farmers in the resulting equilibrium. Chapter 3 provides a critical look at a classic definition regarding the relationship between input use and risk, and attempts to reconcile an apparent paradox in the production literature. Experimental corn yield response data is used to estimate a stochastic production relationship between applied fertilizer, soil nutrient availability, and corn output. Optimal fertilizer application rates for risk-averse and risk-neutral producers are found using numerical methods. In addition to the empirical analysis, primary data collected through a farmer survey instrument, designed to elicit information from farmers regarding their risk attitudes and subjective beliefs regarding the relationship between risk and fertilizer use, is presented and compared with the results of the empirical analysis. Chapter 4 turns to the opportunities for managing weather risk using weather derivative markets. Developing regions are areas in which weather based risk management tools show significant potential. However, the success and long-term viability of insurance programs depends heavily on the availability of accurate and reliable historical data. The lack of this type of historical data for developing regions is one of the largest obstacles to insurance program development in these regions. A framework which utilizes statistical methods to estimate unbiased rainfall histories from sparse data is developed. To validate the methodology's usefulness, a drought insurance example is presented using a rich data set of historical rainfall at weather stations across the state of Iowa.
Author: Serhat Asci Publisher: ISBN: Category : Languages : en Pages : 163
Book Description
The results indicate that a grower would choose to continue with field-grown tomato production due to high option value and risk aversion. These results are consistent with what has been witnessed in tomato production in Florida. However, policies or market conditions such increase credit availability, increase interest rates, decrease energy prices, stabilize high tomato prices would make the greenhouse production more preferable. Finally, the third essay examines the production risk and the choices of fertilizer application rates by Florida potato producers. Nitrogen fertilizer is commonly used as a strategy to manage production risks; however, excessive nitrogen application has the potential to impact surface water quality. Using county-level data, the study explores the economically optimal nitrogen fertilizer rate by explicitly considering the production risks and producers\U+2019\ risk perceptions. The results show that no single fertilizer BMP can be recommended for all growers and all market conditions. Overall, the three essays contribute to the economic literature on agricultural risk management, and generate information to assist agricultural producers and policy makers.
Author: Rozaida Ghazali Publisher: Springer Nature ISBN: 3030360563 Category : Technology & Engineering Languages : en Pages : 491
Book Description
This book provides an introduction to data science and offers a practical overview of the concepts and techniques that readers need to get the most out of their large-scale data mining projects and research studies. It discusses data-analytical thinking, which is essential to extract useful knowledge and obtain commercial value from the data. Also known as data-driven science, soft computing and data mining disciplines cover a broad interdisciplinary range of scientific methods and processes. The book provides readers with sufficient knowledge to tackle a wide range of issues in complex systems, bringing together the scopes that integrate soft computing and data mining in various combinations of applications and practices, since to thrive in these data-driven ecosystems, researchers, data analysts and practitioners must understand the design choice and options of these approaches. This book helps readers to solve complex benchmark problems and to better appreciate the concepts, tools and techniques used.
Author: Joshua Gill Publisher: ISBN: 9781392805114 Category : Electronic dissertations Languages : en Pages : 108
Book Description
The number of people living in poverty is still very high and the progress we have made so far has been very uneven across countries, regions, and subgroups of people. Given that most of the rural poor derive their livelihood from agriculture, it has the potential to serve as a very potent tool for achieving the dual goals of poverty reduction and shared prosperity. However, the internal and external constraints faced by these households limit upward mobility. The three essays in this dissertation study how the rural poor in Pakistan make choices and how better program design can alleviate the constraints they face. The first essay investigates the participation decision of smallholder paddy farmers in a Warehouse Receipts Financing (WRF) program which can mitigate their credit and storage constraints, allowing them to increase their incomes. We a discrete choice experiment approach to study the decision-making process and find risk aversion and transaction cost erode the benefits for smallholder farmers making it an unattractive prospect. We find that likelihood of participation can be increased through better contract design which lower cost of participation and reduce exposure to price uncertainty. These findings have important implications for the optimal design of warehouse receipt financing contracts, as well as their general feasibility for marketing to small farmers. It also highlights that programs aimed to uplift smallholder farmers should not only address constraints of circumstance (e.g. access) but also internal constraints (e.g. risk aversion). The second essay aims to alleviate information constraints regrading fertilizer usage as its indiscriminate and faulty use can affect soil health. Evidence shows that soil quality in Pakistan has been deteriorating which can be partially explain by poor nutrient management. In this study we conducted soil tests and provided recommendations on use of organic and inorganic fertilizer.This study uses an experimental design with two treatment arms and a control group which received no information and its soil was not tested. The base treatment provided farmers with information on their soil health and recommended fertilizer use condition on the crops they cultivate. The second treatment arm complemented this information with a peer comparison which was used an encouragement mechanism to improve the efficacy of information provided. The study highlights some important constraints to information dissemination and provides some evidence on the use of peer comparison as a potential tool to improve efficacy of information campaigns. We see a statistically significant increase in manure usage and a heterogenous impact on Urea use but no impact on the overall fertilizer use. We find that farmers they were already using close to the recommended amount (within 1 bag deviation) increased their urea application rate. These findings suggest two underlying mechanisms at play. First, it alludes to liquidity constraints as farmers increased manure use which is cheap and those who could already afford higher quantities of Urea were able to respond to the recommendation of increasing application rates. The fact that we do not see impact on DAP further gives credence to this assumption as DAP is close to 3 times the cost of Urea. Alternatively, it could be that farmers who were away from the suggested fertilizer amounts did not trust the recommendations. The third essay studies the dynamics of warehouse receipts financing (WRF) demand by small scale risk averse farmers in Pakistan. A dynamic model is used to investigate how risk and time preferences, transaction costs, and uncertainty reduce demand for WRF, and even lead to non-participation in the program. The model is calibrated and solved for a representative small-scale farmer that grows paddy. Results show high transaction costs to be a major barrier to participation. Similarly, expectations about future prices also affect participation which drops to zero if the subjective probability of prices falling goes beyond 10 percent.
Author: Nicholas David Paulson
Author: Nicholas D. Paulson
Author: David Aaron Sykes
Author: 
Author: Serhat Asci
Author: Dallas Wayne Wood
Author: Ani L. Katchova
Author: Rozaida Ghazali
Author: Joshua Gill
Author: Paul Conal Winters