scholarly journals The Economic Analysis of Corn Grain Optimization and Price Variation for Cattle on Feed in Texas

Agriculture ◽  
2019 ◽  
Vol 9 (7) ◽  
pp. 159
Author(s):  
Braelyn Moltz ◽  
Mark Yu ◽  
Edward Osei ◽  
W. Brandon Smith ◽  
Brant Poe
Keyword(s):  
Sensitivity Analysis ◽  
Production Efficiency ◽  
Profit Maximization ◽  
United States Department ◽  
Grain Production ◽  
Price Variation ◽  
Agricultural Industry ◽  
Continuous Form ◽  
Analysis System ◽  
Corn Grain

Cattle placed on feed is a practice to maximize the amount of meat produced before being sent to slaughter, which has become a major agricultural industry. The optimization of input quantities, especially corn, is crucial to maximize production efficiency and ultimately profit. The objective of this research is to determine the optimal corn grain production rate for cattle on feed in Texas and estimated profit maximization under various price ratios for corn grain and live cattle. Utilizing data from various United States Department of Agriculture (USDA) sources, various different input production levels and prices were collected. Statistical Analysis System (SAS), procedures were used to estimate the different production functions. Sensitivity analysis were performed for the optimal production of corn grain rate, and consequent profit under various combinations of corn and live cattle prices for the four different functions. Additionally, a continuous form curve for optimal corn grain production rates under various price ratios was developed. Results indicated that the cubic model was the most accurate based upon the R2 value. However, the continuous form model created for the sensitivity analysis concluded that the quadratic was the most accurate model under the different price ratios. The results of the study can be a useful tool for the decision-making process for producers and policymakers.

scholarly journals Development of Statistical Tolerancing for Optical Products. (2nd Report). Realization of Complex Tolerance Sensitivity Analysis System.

1999 ◽  
Vol 65 (2) ◽  
pp. 279-284
Author(s):  
Toyoharu SASAKI ◽  
Masahiko SHINKAI ◽  
Kohichiro HIGASHIYAMA ◽  
Fumiki TANAKA ◽  
Takeshi KISHINAMI
Keyword(s):  
Sensitivity Analysis ◽  
Analysis System

scholarly journals Analyzing the impact of implementing a logistics center for a complex forest network

2019 ◽  
Vol 49 (2) ◽  
pp. 179-189 ◽  
Author(s):  
François Sarrazin ◽  
Luc LeBel ◽  
Nadia Lehoux
Keyword(s):  
Sensitivity Analysis ◽  
Profit Maximization ◽  
Forest Products ◽  
Business Environment ◽  
Error Rates ◽  
Wood Fibre ◽  
Forest Products Industry ◽  
Logistics Center ◽  
The North ◽  
The Impact

The challenges faced recently by the North American forest products industry have forced it to review many of its key operations. Implementing logistics centers for such a context may therefore help in allocating the wood fibre more efficiently and in reducing sorting and transportation costs. This paper aims to better understand the interaction between a forest logistics center and a complex forest network while exploring the business environment favoring the use of such a structure. A profit maximization model is proposed and applied to a real case in the Mauricie region in Quebec, Canada. A total of 18 groups of scenarios are tested, based on the use of a sort yard and of backhauling. Results show that a logistics center already in operation adds $0.52 in profits for each cubic metre of wood available for harvest (over 2 580 411 m3 per year) for the network under study ($1.4 million annually). A sensitivity analysis also highlights that higher prices and sorting error rates have the greatest impact on the logistics center’s profitability.

scholarly journals A probabilistic and interactive decision-analysis system for unruptured intracranial aneurysms

2004 ◽  
Vol 17 (5) ◽  
pp. 1-8 ◽  
Author(s):  
Narcyz Ghinea ◽  
James M. van Gelder
Keyword(s):  
Sensitivity Analysis ◽  
Decision Analysis ◽  
Intracranial Aneurysms ◽  
Discrete Event ◽  
Medical Decision ◽  
Optimum Level ◽  
Specific Patient ◽  
Unruptured Intracranial Aneurysms ◽  
Life Years ◽  
Analysis System

Object The goal in this study was to develop an interactive, probabilistic decision-analysis system for clinical use in the decision to treat or observe unruptured intracranial aneurysms. Further goals were to enable users of the system to adapt decision-analysis methods to individual patients and to provide a tool for interactive sensitivity analysis. Methods A computer program was designed to model the outcomes of treatment and observation of unruptured aneurysms. The user supplies probabilistic estimates of key parameters relating to a specific patient and nominates discount rate and quality of life adjustments. The program uses Monte Carlo discrete-event simulation methods to derive probability estimates of the outcomes of treatment and observation. Results are expressed as summary statistics and graphs. Discounted quality-adjusted life years are graphed using survival methods. Hierarchical simulations are used to enable investigators to perform probabilistic sensitivity analysis for one or multiple parameters simultaneously. The results of sensitivity analysis are expressed in graphs and as the expected value of perfect information. The system can be distributed and updated using the Internet. Conclusions Further research is required into the benefits of clinical application of this system. Further research is also required into the optimum level of complexity of the model, into the user interface, and into how clinicians and patients are likely to interpret results. The system is easily adaptable to a range of medical decision analyses.

scholarly journals Determinants and Differences of Grain Production Efficiency Between Main and Non-Main Producing Area in China

2019 ◽  
Vol 11 (19) ◽  
pp. 5225
Author(s):  
Furong Chen ◽  
Yifu Zhao
Keyword(s):  
Panel Data ◽  
Technical Efficiency ◽  
Production Function ◽  
Production Efficiency ◽  
Stochastic Frontier ◽  
Grain Production ◽  
Marginal Productivity ◽  
Rural Labor ◽  
Stochastic Frontier Production Function ◽  
Frontier Production Function

This paper investigated the determinants, especially labor transformation, and differences of technical efficiency between main and non-main grain-producing area in China based on a panel data from 30 provinces in the period of 2001–2017. Stochastic frontier production function was used to estimate the level of technical efficiency and the marginal productivity of different inputs. The estimated results showed that land is the most important factor to improve China’s grain output, followed by fertilizers, labor, and machinery inputs. There was a significant 4.6 percent gap of production efficiency between main and non-main producing provinces. Influence of rural labor transformation was confirmed to be positive to improve technical efficiency.

scholarly journals Production Unit Trends and Price Characteristics within the United States Pecan Industry

2001 ◽  
Vol 11 (1) ◽  
pp. 110-118 ◽  
Author(s):  
Bruce W. Wood
Keyword(s):  
United States ◽  
Production Efficiency ◽  
The United States ◽  
Northern Region ◽  
No Production ◽  
Price Variation ◽  
Biennial Bearing ◽  
Average Production ◽  
Production Area ◽  
Substantial Decline

The United States pecan [Carya illinoinensis (Wangenh.) K. Koch] industry is based on about 10,107,170 trees (about 15% nonbearing) comprising about 492,137 acres (199,168 ha) of orchards (34% in Texas, 27% Georgia, and 17% Oklahoma) dispersed among about 19,900 farm operations (36% in Texas, 16% Georgia, and 7% Oklahoma) in 24 states. Fifty-six percent of this acreage is on farms with ≥100 acres (40.5 ha) of trees (i.e., 5% of total farms). An evaluation of production related changes over the last decade indicate fundamental changes occurring in the nature of the U. S. industry. These include a) movement toward agricultural industrialization as reflected by fewer small-farms and more large-farms; b) reduced percentage of young (i.e., nonbearing) trees in most major producing states; c) substantial decline in number of farms and acres in the southeastern regionhistorically the primary production area-yet substantial growth in the northern region of production; d) a national 3% increase in the number of pecan farms and 14% increase in acreage; and e) substantial demographic changes, such as the enhanced importance of the southwestern region including New Mexico with diminished importance of many southeastern states. States also drastically differ in degree of biennial bearing, as measured by the biennial bearing index (i.e., K = 0.04 - 0.73; where 0 = no production variation and 1 = maximum variation), average production efficiency of both orchards [Epa = 192 - 1,224 lb/acre (215 - 1,374 kg·ha-1)] and trees [Ept = 19 - 60 lb/tree (8.6 kg/tree)], variation in grower prices (cv = 18 - 36%), and relationship between price and national supply of pecan (r2 = 0.94 - 0.03). For the pecan industry as a whole, average price received for nut-meats is as closely associated with national supply of pecan nut-meats as that of almond and pistachio and is far better than that of walnut-pecan's primary competitor. The supply of pecan meats on-hand at the beginning of the season, plus supply from the current season's crop, plus the price of walnut meats accounts for 80% of price variation in average United States pecan meat price.

scholarly journals Market Participation and Farm Profitability: The Case of Northern Ghana

2021 ◽  
Vol 10 (2) ◽  
pp. 1
Author(s):  
Agness Mzyece
Keyword(s):  
Production Efficiency ◽  
Economies Of Scale ◽  
Smallholder Farmers ◽  
Profit Maximization ◽  
Farm Households ◽  
Northern Ghana ◽  
Market Participation ◽  
Empirical Estimation ◽  
Gross Margin ◽  
The Relationship

This study examines the effect of quantity sold (sales volume) on profitability of market participating smallholder farmers in northern Ghana. Market participation has been shown to be important for increasing incomes and improving production efficiency for farm households but still remains low in SSA. While agribusiness and development experts generally advocate for more intensive market participation, it is not clear if selling more results in more profits for smallholder farmers in remote markets that are prone to exorbitant transaction costs. The data used in this study is from the APS survey conducted in 2013 and 2014 in Northern Ghana which had a sample size of 527. The study is based on the theory of profit maximization, in which separability is inferred from observed market participation. OLS regression is used for empirical estimation after rejecting the hypothesis of endogeneity in the model. Mean gross margin/ kg across four groups of farmers ranked by quantity sold is also statistically examined. The results confirm the existence of economies of scale and also show that different crops have different effects on profitability. The results also show that although unambiguously positive, the relationship between quantity sold and profitability may not be linear.

scholarly journals The Motivation for Organic Grain Farming in the United States: Profits, Lifestyle, or the Environment?

2012 ◽  
Vol 44 (2) ◽  
pp. 137-155 ◽  
Author(s):  
Hikaru Hanawa Peterson ◽  
Andrew Barkley ◽  
Adriana Chacón-Cascante ◽  
Terry L. Kastens
Keyword(s):  
United States ◽  
Survey Data ◽  
Regression Models ◽  
Profit Maximization ◽  
The United States ◽  
Environmental Stewardship ◽  
Grain Production ◽  
Older Farmers

The objective of this research is to identify and quantify the motivations for organic grain farming in the United States. Survey data of US organic grain producers were used in regression models to find the statistical determinants of three motivations for organic grain production, including profit maximization, environmental stewardship, and an organic lifestyle. Results provide evidence that many organic grain producers had more than a single motivation and that younger farmers are more likely to be motivated by environmental and lifestyle goals than older farmers. Organic grain producers exhibited a diversity of motivations, including profit and stewardship.

Agricultural Productivity and Urbanization: Evidence from Grain and Tobacco Production Efficiency in China

2021 ◽  
Vol 7 (6) ◽  
pp. 5172-5183
Author(s):  
Ma Jing ◽  
Li Qing
Keyword(s):  
Technological Progress ◽  
Crop Production ◽  
Production Efficiency ◽  
Agricultural Productivity ◽  
Grain Production ◽  
Standard Deviation Increase ◽  
Cash Crop ◽  
Tobacco Production ◽  
Urbanization Rate ◽  
The Impact

This paperbased on grain production efficiency and tobacco production efficiency studies the impact of agricultural productivity on urbanization in open economy. Theoretically, a theoretical model allowing biased technological progress is constructed. The research finds that when technological progress is labor-saving technological progress, the improvement of agricultural productivity can significantly improve the level of urbanization. Empirically, using The Panel data of Chinese cities from 2000 to 2014, the empirical study finds that The improvement of grain production efficiency and the improvement of tobacco as a cash crop production efficiency will significantly improve the urbanization rate, and each standard deviation increase of agricultural productivity will increase the urbanization rate by about 4-9.6 percentage points, or about 12-30%. The above findings are robust and hold even after using instrumental variables and introducing more control variables. The research of this paper shows that the improvement of staple grain production efficiency and cash crop production efficiency can effectively improve the level of urbanization in China. Under the new normal of the economy, implementing the rural revitalization strategy and continuing to improve the efficiency of agricultural production is conducive to further improving the urbanization rate and boosting high-quality economic development.

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