scholarly journals Statistical Analysis of Households’ Crop Production Decisions in Jimma Rare District, Horro Guduru Wollega Zone, Ethiopia

2019 ◽  
Keyword(s):  
Statistical Analysis ◽  
Crop Production ◽  
Production Decisions

scholarly journals Simultaneous production decisions in agricultural contexts: an experimental investigation of pesticide use, animal welfare and wheat production

2021 ◽  
Vol 123 (13) ◽  
pp. 19-36
Author(s):  
Julia Höhler ◽  
Jörg Müller
Keyword(s):  
Animal Welfare ◽  
Market Entry ◽  
Crop Production ◽  
Pesticide Use ◽  
Production Decisions ◽  
Content Type ◽  
Wheat Production ◽  
Simultaneous Production ◽  
Incentive Structures ◽  
Entry Games

PurposeFarmers often decide simultaneously on crop production or input use without knowing other farmers' decisions. Anticipating the behavior of other farmers can increase financial performance. This paper investigates the role of other famers' behaviors and other contextual factors in farmers' simultaneous production decisions.Design/methodology/approachMarket entry games are a common method for investigating simultaneous production decisions. However, so far they have been conducted with abstract tasks and by untrained subjects. The authors extend market entry games by using three real contexts: pesticide use, animal welfare and wheat production, in an incentivized framed field experiment with 323 German farmers.FindingsThe authors find that farmers take different decisions under identical incentive structures for the three contexts. While context plays a major role in their decisions, their expectations about the behavior of other farmers have little influence on their decision.Originality/valueThe paper offers new insights into the decision-making behavior of farmers. A better understanding of how farmers anticipate the behavior of other farmers in their production decisions can improve both the performance of individual farms and the allocational efficiency of agricultural and food markets.

Matching Supply to Demand: Crop Production and Disposal by English Demesnes in the Century of the Black Death

1997 ◽  
Vol 57 (4) ◽  
pp. 827-858 ◽  
Author(s):  
Bruce M. S. Campbell
Keyword(s):  
Transaction Costs ◽  
Fourteenth Century ◽  
Crop Production ◽  
Institutional Factors ◽  
Black Death ◽  
Production Decisions

Manorial accounts allow detailed investigation of the market involvement of medieval seignorial demesnes. Production decisions taken locally emerge as strongly, if indirectly, influenced by the market. Disposal decisions, in contrast, were much more a matter of estate policy and therefore of institutional factors. Probably because of differential transaction costs, many lords preferred to provision their households directly from their estates rather than sell the bulk of their produce and purchase most of their provisions. The forces promoting commercialization within the seignorial arable sector appear to have been stronger at the opening than the close of the fourteenth century.

scholarly journals On the Economic Nature of Crop Production Decisions Using the Oklahoma Mesonet

2010 ◽  
Vol 2 (3) ◽  
pp. 224-236 ◽  
Author(s):  
Kimberly E. Klockow ◽  
Renee A. McPherson ◽  
Daniel S. Sutter
Keyword(s):  
Risk Management ◽  
Agricultural Policy ◽  
Agricultural Production ◽  
Crop Production ◽  
Agricultural Sector ◽  
Meteorological Data ◽  
Short Term ◽  
Production Decisions ◽  
Oklahoma Mesonet ◽  
Economic Nature

Abstract Because of the sensitivity of agricultural production to both short-term weather and long-range climatic patterns, the availability of reliable and relevant meteorological data and climate products can potentially affect the entire production process. This study focuses on the use of information from a dense meteorological network—the Oklahoma Mesonet—and its AgWeather program in support of agricultural production decisions. Production decisions that are particularly dependent on information from the Mesonet are identified. Producers in Oklahoma are influenced by Mesonet data at several levels, including agricultural policy, production choices, and risk management. Additionally, producers use the Mesonet to attain their financial goals, through such measures as cost saving and maximization of quality and quantity, in addition to others. Potential savings from Mesonet data for the state’s agricultural sector are also estimated.

Statistical analysis of classification

1966 ◽  
Vol 24 ◽  
pp. 188-189
Author(s):  
T. J. Deeming
Keyword(s):  
Multivariate Analysis ◽  
Statistical Analysis ◽  
Classification Scheme ◽  
Analytical Procedure ◽  
Narrow Band ◽  
Scientific Research ◽  
Maximum Amount ◽  
Amount Of Information

If we make a set of measurements, such as narrow-band or multicolour photo-electric measurements, which are designed to improve a scheme of classification, and in particular if they are designed to extend the number of dimensions of classification, i.e. the number of classification parameters, then some important problems of analytical procedure arise. First, it is important not to reproduce the errors of the classification scheme which we are trying to improve. Second, when trying to extend the number of dimensions of classification we have little or nothing with which to test the validity of the new parameters.Problems similar to these have occurred in other areas of scientific research (notably psychology and education) and the branch of Statistics called Multivariate Analysis has been developed to deal with them. The techniques of this subject are largely unknown to astronomers, but, if carefully applied, they should at the very least ensure that the astronomer gets the maximum amount of information out of his data and does not waste his time looking for information which is not there. More optimistically, these techniques are potentially capable of indicating the number of classification parameters necessary and giving specific formulas for computing them, as well as pinpointing those particular measurements which are most crucial for determining the classification parameters.

Quantitative parallel EELS spectrum imaging developed as a new tool in AEM

1992 ◽  
Vol 50 (2) ◽  
pp. 1202-1203
Author(s):  
Gianluigi Botton ◽  
Gilles L'espérance
Keyword(s):  
Statistical Analysis ◽  
Spatial Resolution ◽  
Personal Computer ◽  
Systematic Study ◽  
Present Author ◽  
Chemical Elements ◽  
Detection Limits ◽  
Research Groups ◽  
Quantitative Performance ◽  
Spectrum Imaging

As interest for parallel EELS spectrum imaging grows in laboratories equipped with commercial spectrometers, different approaches were used in recent years by a few research groups in the development of the technique of spectrum imaging as reported in the literature. Either by controlling, with a personal computer both the microsope and the spectrometer or using more powerful workstations interfaced to conventional multichannel analysers with commercially available programs to control the microscope and the spectrometer, spectrum images can now be obtained. Work on the limits of the technique, in terms of the quantitative performance was reported, however, by the present author where a systematic study of artifacts detection limits, statistical errors as a function of desired spatial resolution and range of chemical elements to be studied in a map was carried out The aim of the present paper is to show an application of quantitative parallel EELS spectrum imaging where statistical analysis is performed at each pixel and interpretation is carried out using criteria established from the statistical analysis and variations in composition are analyzed with the help of information retreived from t/γ maps so that artifacts are avoided.

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