Impacts of Declining U.S. Retail Beef Demand on Farm‐Level Beef Prices and Production

2003 ◽  
Vol 85 (4) ◽  
pp. 902-913 ◽  
Author(s):  
John M. Marsh
Keyword(s):  
Farm Level ◽  
Beef Demand ◽  
On Farm ◽  
Beef Prices

Faktor-Faktor Yang Mempengaruhi Permintaan Daging Sapi Di Kota Pematangsiantar

2020 ◽  
Vol 2 (2) ◽  
pp. 86-94
Author(s):  
Wahyunita Sitinjak ◽  
Juwita Asyia Tanjung
Keyword(s):  
Survey Methods ◽  
Descriptive Analysis ◽  
Multiple Linear Regression Model ◽  
Beef Industry ◽  
Independent Variables ◽  
Analysis Methods ◽  
Beef Demand ◽  
Using Data ◽  
Beef Prices ◽  
Positive Effect

Penelitian ini bertujuan untuk mengetahui perilaku responden sebagai konsumen rumah tangga daging sapi di Kota Pematangsiantar, untuk mengetahui perilaku industri daging sapi di Kota Pematangsiantar serta untuk menganalisis faktor-faktor permintaan daging sapi di Kota Pematangsiantar. Tujuan peneliti 1 dan 2 menggunakan metode survey dan metode analisis deskriptif, Tujuan peneliti yang ke 3 menggunakan  Metode analisis data yang digunakan adalah model regresi linier berganda yang diolah dengan program SPSS 22 dengan penguji hipotesis yang terdiri dari koefisien (R2 ), uji F dan uji t. Hasil Penelitian menujukkan bahwa Harga daging sapi, harga daging kambing, dan pendapatan konsumen mampu menjelaskan variabel permintaan sebesar 80,2%. Sedangkan sisanya sebesar 19,8% dijelaskan oleh variabel lain yang tidak disertakan pada persamaan. secara parsial dari ketiga variabel bebas (independent) terdapat dua variabel (harga daging sapi dan harga daging kambing) berpengaruh tidak nyata dan positif terhadap permintaan. Variabel pendapatan konsumen berpengaruh nyata dan positif artinya bahwa setiap penambahan satuan pendapatan konsumen akan menambah permintaan daging sapi.   ABSTRACT This study aims to determine the behavior of respondents as consumers of beef households in Pematangsiantar City, to determine the behavior of the beef industry in Pematangsiantar City and to analyze the factors of beef demand in Pematangsiantar City. Researchers goals 1 and 2 use survey methods and descriptive analysis methods, Researchers aim 3 using data analysis methods used is a multiple linear regression model that is processed with the SPSS 22 program with hypothesis testing consisting of coefficients (R2), F test and t test. The results showed that the price of beef, goat meat prices, and consumer income is able to explain the demand variable of 80.2%. While the remaining 19.8% is explained by other variables not included in the equation. partially from the three independent variables, there are two variables (beef prices and mutton prices) that have no significant and positive effect on demand. The variable of consumer income has a significant and positive effect, meaning that each additional unit of consumer income will increase beef demand.

scholarly journals Developing farm-level sustainability indicators for Ireland using the Teagasc National Farm Survey

2016 ◽  
Vol 55 (2) ◽  
pp. 112-125 ◽  
Author(s):  
M. Ryan ◽  
T. Hennessy ◽  
C. Buckley ◽  
E.J. Dillon ◽  
T. Donnellan ◽  
...  
Keyword(s):  
Environmental Sustainability ◽  
Production Systems ◽  
Social Indicators ◽  
Dairy Farms ◽  
Strongly Correlated ◽  
Farm Level ◽  
Farm Systems ◽  
Farm Survey ◽  
Farm Sustainability ◽  
On Farm

Abstract In the context of an expanding, export-dependent agri-food sector, indicators of sustainable development and intensification are necessary to measure, assess and verify the comparative advantage afforded by Ireland’s natural pastoral-based food production systems. Such indicators are also necessary to ensure that we produce more food with less adverse impacts on the Irish environment, climate and society. This article outlines the development of farm-level indicators that refect the multifaceted nature of sustainability, which is encompassed in economic, environmental and social indicators. The role of innovation in farm sustainability was also examined. A comparison of indicators across Irish farm systems showed that dairy farms, followed by tillage farms, tended to be the most economically and socially sustainable farm systems. In relation to greenhouse gas emissions in particular, the top-performing dairy farms, in an economic sense, also tended to be the best-performing farms from an environmental sustainability perspective. This trend was also evident in relation to the adoption of innovative practices on farm, which was found to be strongly correlated with economic performance.

scholarly journals Revisiting the Impact of Bt Corn Adoption by U.S. Farmers

2012 ◽  
Vol 41 (3) ◽  
pp. 377-390 ◽  
Author(s):  
Jorge Fernandez-Cornejo ◽  
Seth Wechsler
Keyword(s):  
Regression Analysis ◽  
Survey Data ◽  
Econometric Model ◽  
Bt Corn ◽  
Insect Infestation ◽  
Farm Level ◽  
Self Selection ◽  
On Farm ◽  
The Impact

This study examines the impact of adopting Bt corn on farm profits, yields, and insecticide use. The study employs an econometric model that corrects for self-selection and simultaneity. The model is estimated using nationwide farm-level survey data for 2005. Regression analysis confirms that Bt adoption is associated with increased variable profits, yields, and seed demand. However, the results of this analysis suggest that Bt adoption is not significantly related to insecticide use. This result may be due to the fact that insect infestation levels were lower in 2005 than they were in previous years.

Setting targets for the Irish dairy industry

2020 ◽  
Vol 60 (1) ◽  
pp. 159
Author(s):  
Laurence Shalloo ◽  
Liam Hanrahan
Keyword(s):  
Milk Fat ◽  
Dairy Industry ◽  
Sustainability Indicators ◽  
Farm Level ◽  
Significant Potential ◽  
Grass Growth ◽  
Farm Business ◽  
Milk Solids ◽  
On Farm ◽  
Efficiency And Productivity

A resilient dairy business will be sustainable across all of the sustainability indicators, survive milk-price drops and be very profitable when milk price is high. The term resilient means able to ‘recover, respond, deal or withstand’ different internal and external challenges that may manifest themselves within the farm business from time to time. There is significant potential to increase efficiency and productivity at farm level when compared with the average farm nationally. The focus at a farm level must be about increasing grass growth and utilisation and converting that feed to milk solids (kg of milk fat and protein) sales at as low a cost as possible. Increasing labour efficiency by operating more streamlined work practices, using contractors and contract rearing of heifers will have a major impact on farm labour requirements.

Simulation of the effect of rainfall on farm-level cocoa yield using a delayed differential equation model

2019 ◽  
Vol 253 ◽  
pp. 371-375 ◽  
Author(s):  
Lorna R.M. Wilson ◽  
Nicholas C. Cryer ◽  
Eamon Haughey
Keyword(s):  
Differential Equation ◽  
Equation Model ◽  
Differential Equation Model ◽  
Farm Level ◽  
Delayed Differential Equation ◽  
On Farm ◽  
Cocoa Yield

Impacts of Risk Attitudes on Farm-Level Acreage Flexibility Decisions

jpa ◽  
1994 ◽  
Vol 7 (4) ◽  
pp. 428-436
Author(s):  
David P. Anderson ◽  
James W. Richardson ◽  
Edward G. Smith
Keyword(s):  
Risk Attitudes ◽  
Farm Level ◽  
On Farm

scholarly journals Identification of Transmission Routes of Campylobacter and On-Farm Measures to Reduce Campylobacter in Chicken

Pathogens ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. 363 ◽  
Author(s):  
Sara Frosth ◽  
Oskar Karlsson-Lindsjö ◽  
Adnan Niazi ◽  
Lise-Lotte Fernström ◽  
Ingrid Hansson
Keyword(s):  
Drinking Water ◽  
Core Genome ◽  
Multi Locus Sequence Typing ◽  
Whole Genome ◽  
Farm Level ◽  
Depth Analysis ◽  
Contaminated Drinking Water ◽  
On Farm ◽  
Different Sources

An in-depth analysis was performed on Swedish broiler producers that had delivered chickens with Campylobacter to slaughter over several years, in order to identify possible transmission routes and formulate effective measures to prevent chickens being colonized with Campylobacter. Between 2017 and 2019, 626 samples were collected at farm level and Campylobacter was isolated from 133 (21.2%). All C. jejuni and C. coli isolated from these samples were whole-genome sequenced, together with isolates from the corresponding cecum samples at slaughter (n = 256). Core genome multi-locus sequence typing (cgMLST) analysis, using schemes consisting of 1140 and 529 genes for C. jejuni and C. coli, respectively, revealed that nearby cattle, contaminated drinking water, water ponds, transport crates, and parent flocks were potential reservoirs of Campylobacter. A novel feature compared with previous studies is that measures were implemented and tested during the work. These contributed to a nationwide decrease in Campylobacter-positive flocks from 15.4% in 2016 to 4.6% in 2019, which is the lowest ever rate in Sweden. To conclude, there are different sources and routes of Campylobacter transmission to chickens from different broiler producers, and individual measures must be taken by each producer to prevent Campylobacter colonization of chickens.

scholarly journals A Methodology to Empirically Assess National and Farm-Specific Damages from Contamination of Grain Supply by a Genetically Engineered Strain

2019 ◽  
Vol 51 (3) ◽  
pp. 495-510
Author(s):  
Oral Capps ◽  
Ronald A. Babula
Keyword(s):  
Genetically Engineered ◽  
Farm Level ◽  
Hard Wheat ◽  
Contamination Event ◽  
On Farm ◽  
The U.S ◽  
Engineered Strain ◽  
Wheat Price

AbstractOn May 29, 2013, the U.S. government announced that contamination of non–genetically engineered wheat supplies occurred. We provide a methodology to empirically assess the impacts of this contamination event on national prices and on farm-specific prices and receipts for spring red hard wheat. Results suggest that U.S. spring red hard wheat farmers in the aggregate had lost receipts ranging from $32.77 million to $131.06 million and incurred a drop of 3.83% in wheat price equivalent to $0.27 per bushel. At the farm level, ahypotheticalfarmer received $0.31 less per bushel culminating in $4,807 in lost receipts.

The impact of water and agriculture policy scenarios on irrigated farming systems in Italy: An analysis based on farm level multi-attribute linear programming models

2007 ◽  
Vol 93 (1-3) ◽  
pp. 90-114 ◽  
Author(s):  
F. Bartolini ◽  
G.M. Bazzani ◽  
V. Gallerani ◽  
M. Raggi ◽  
D. Viaggi
Keyword(s):  
Linear Programming ◽  
Farming Systems ◽  
Programming Models ◽  
Agriculture Policy ◽  
Farm Level ◽  
On Farm ◽  
The Impact ◽  
Policy Scenarios
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