Beef Prices Research Articles

The influence of pricing interventions in food choices on Brazil: An agent-based modelling approach

This study introduces an agent-based model (ABM) to analyse beef consumption trends in Brazil from 2017 to 2020. The ABM assesses the influence of price changes, specifically a rise in beef prices, on consumption behaviours and their diverse impacts across income groups. By integrating demographic and socioeconomic factors, the model replicates beef consumption decisions within Brazil. Findings show that consumer preferences are highly responsive to beef prices, with consumption decreasing as prices increase. A 60 % price increase due to a US$ 42/tCO2e tax could potentially reduce beef consumption by 55 %, cutting livestock-related greenhouse gas emissions by 53 % in Brazil. However, this tax would disproportionately affect lower-income individuals, worsening social inequality. To address potential food insecurity and ensure adequate nutrition for all, the consequences of food price interventions must be considered. Additional measures, such as tax incentives for plant-based alternatives, should be adopted to encourage suitable dietary choices. By thoughtfully assessing pricing intervention impacts, policymakers can support climate change mitigation, promote reduced meat consumption, and ensure fair access to nutritious food. This research improves our understanding of dietary decisions, the efficacy of pricing interventions, and their implications for affordability and social equality, with relevance beyond Brazil to nations facing similar challenges.

Ranking heterogeneous US consumer beef attribute preferences

Abstract Consumer preferences for beef products are diverse and progressing with societal changes. Long-standing product quality attribute preferences are being extended with increased attention to sustainability – especially environmental impacts and social concerns of cattle and beef production. Cattle producers need to understand this evolution to make informed production and marketing decisions. This study reports results of a nationally representative survey of 3,001 US consumers measuring beef product preferences. While beef product freshness, safety, price, and flavor are most often cited as most important, environmental and societal concerns are important to a notable segment of consumers. Heterogeneous consumers suggest multiple strategies to satisfy diverse preferences will be most successful.

In-person versus online bidding: Effects on female beef cattle prices

In-person versus online bidding: Effects on female beef cattle prices

Estimation of uncertainty distribution function by the principle of least squares

In order to estimate the unknown parameters in an uncertainty distribution function, this article uses the principle of least squares that minimizes the sum of the squared deviations between the uncertainty distribution and the empirical distribution of the observed data. After that, the principle of least squares is applied to determining the uncertain disturbance term of uncertain regression model and uncertain time series model, and estimating the unknown parameters in uncertain differential equation. Finally, in order to illustrate the proposed method, some real-world examples are provided, including PetroChina stock price, electricity price, grain yield, China’s population, and beef price.

Analysis of Household Consumer Level Factors Affecting Beef Demand in the Source Market of the Cirebon Regency

The purpose of this study is to ascertain the growth and demand for beef at the household consumer level in the Cirebon Regency Sumber Market, as well as the impact of broiler commercial chicken meat as a substitute item and the variables that influence the amount of beef demand at the homemaker's consumer level in the Cirebon Regency Sumber Market. The Sumber Market was chosen as the research site, with sampling as the primary factor in the decision. Sixty-eight respondents were all housewives and accidental sampling was employed using the Lemeshow formula methodology to sample the respondents. Multiple linear regression is used to analyze the data, and the SPSS 27 program is used for hypothesis testing. Traditional assumption testing includes the autocorrelation test, the normality test, and the F test. A value of F-calculated to 10,388 > F-table 2,350 indicates that the variables of beef price, consumption, chicken meat price, income, and number of family dependents (X1, X2, X3, X4, X5) together have a positive effect and significant to the demand for beef. The results showed that the demand for meat in Cirebon Regency was influenced by income (X4), which obtained a sig value of 0.01 0.05. The number of family dependents.

Analysis of beef market integration between consumer and producer regions in Indonesia

Abstract The research employs secondary data consisting of time series data on beef prices from the consumer regions (Jakarta, Banten, and West Java Provinces) and the producer regions (East Nusa Tenggara, West Nusa Tenggara, Bali, East Java, and Lampung Provinces) obtained from the Center for Information of Strategic Food Prices period January 2018–July 2022. The analytical model utilizes the estimated VAR (vector autoregression)/VECM (vector error correction model). The mean beef price in Indonesia’s producer regions exceeds the normal level (above the reference price), except for East Nusa Tenggara Province, as well as in the consumer regions, which are significantly above the normal level. Beef prices in the producer and consumer regions have a mutual influence in the current and previous periods. The presence of cointegration implies that in the long term, the beef market in the producer regions (East Nusa Tenggara, West Nusa Tenggara, Bali, East Java, and Lampung) is integrated with the consumer regions (Jakarta, Banten, and West Java Provinces) in Indonesia. The most substantial impact of the shock of beef prices in the region of the largest producer is Lampung Province. This research concludes that there is a cointegration of beef prices; in the long term, the beef market in producer regions is integrated with the consumers in Indonesia. Similarly, the beef market will be integrated into producer regions with the consumers in the short term. The VECM is a beef price forecasting model in the producer and consumer regions, which can be considered to have excellent performance.

Analysis of problems in increasing beef production with the Interpretative Structural Modeling (ISM) approach in North Sumatera

The consumption rate is not in line with the rate of beef production, causing problems in fulfilling beef. This study aims to explore problems in increasing beef production and to create graphs and hierarchical diagrams of priority problem solving using the Interpretative Structural Modeling method. The shortage of beef production is caused by several problems, including 1) slaughtering productive female cattle, 2) reproductive disorders due to disease and malnutrition, 3) limited productive females as breeders, 4) limited skilled workers in the field of artificial insemination, 5) limited superior bulls, 6) limited knowledge about cattle farming, 7) small business ownership scale, 8) lack of motivation of farmers, 9) limited insight in feed processing technology, 10) limited capital, 11) limitations sources of feed or limited supply of grazing land due to land conversion, 12) Imports of cattle, 13) Sales of cattle outside North Sumatra, 14) Prices of beef. The final results of the Reachability Matrix have 3 categories of problem solving based on graphs and hierarchies, namely Top-Level variables sub elements E1 and E2, then Middle Level variables sub elements E11, (E2 with E3), E9, E6, E14, E4 and E7 and Low Level Variables sub elements E10, E5, E12 and E13.

Projection of shadow price of beef cattle in the Bali beef fattening industry

<span lang="EN-US">Any changes in supply and demand result in the imperfect development of a market mechanism, so a disequilibrium price occurs. Price changes, sometimes, do not reflect the prevailing price, issued by an agricultural business. Therefore, this research aims to project the shadow price of beef cattle (output) in the Bali beef fattening industry, utilizing cost production theory. Technically, the comparison of the total of the shadow prices of beef cattle employed two methods, such as a total of revenue and total cost. The research was conducted in the Regency of Lombok Tengah from July to September 2020. Then, the site and group of farmers were determined by purposive sampling. The criteria of samples were farmers performing the Bali beef fattening industry with an intensive raising system, utilizing cross-section data collected via interview and questionnaire. In conclusion, it is found that the shadow price of beef cattle was higher than the market price. It caused non-responsive market price changes unless a great change occurred. The shadow price was established by a greater marginal cost than marginal revenue.</span>

Study on socio-economic condition of butchers and trend of market price of red meat at some selected areas in Bangladesh

The study was aimed to assess the socio-economic status of butchers and trend of market price of meat changed from last nine (09) years at five (05) selected areas in Bangladesh such as Dhaka, Chittagong, Rajshahi, Khulna and Rangpur City Corporation. The study was carried out through a structured questionnaire among seventy five (75) selected butchers each survey time where fifteen (15) in each area. The survey was conducted from January to August, 2014 and February to May, 2023. During survey the considered parameters were the butchers age, level of education, family size, land size, housing, source of capital andcurrent red meat price. Result from the study revealed that the respondents average aged in Dhaka, Chittagong, Rajshahi, Khulna and Rangpur city corporation were 40.30, 34.27, 36.27, 36.40 and 35.00, respectively and all of them were male. For literacy rate of respondents it was found that about 56% butchers were had secondary level education, 38.67% butchers had primary level education, 4% had higher secondary level education and only 1.33% were graduate. About 88.23% butchers solely depend on meat processing but along with meat processing 4.71% respondents were engaged with business and 7.06% respondents were engaged with agriculture. In 2014, it was found that all type of meat (beef, buffen, chevon and mutton) price were highest in Dhaka and it was average 582.00, 562.50, 900.00 and 870.00 TK in Chittagong, Khulna, Rajshahi and Rangpur, respectively. In case of Chevon market price was 895.00, 882.00, 870.71 and 865.09 in Rajshahi, Chittagong, Rangpur and Khulna, respectively. For Mutton it was 830.00, 820.00, 820.00 and 816.00 TK in Chittagong, Rajshahi, Rangpur and Khulna, respectively. It was found that market price increased so rapidly and the rate of increasing percentage for beef, buffen, chevon and mutton were 195.27%, 193.76%, 154.83% and 169.93%, respectively. Overall slaughtered number of cattle, buffalo, goat and sheep per week in selected areas were 42.84, 7.47, 23.29 and 4.84, respectively.

Organoleptic Characteristics of Jerky Analog Made from Young Jackfruit and Tempeh

Jerky is a meat-based food that is processed by drying to get a longer shelf life. Usually jerky is made from beef. The price of beef which continues to increase every year causes the price of jerky production to also increase. Therefore, it is necessary to make efforts to use foodstuffs that have low prices but are still preferred from an organoleptic point of view. The purpose of this study was to determine the appropriate formulation of the use of young jackfruit and soy tempeh raw materials for the production of jerky analogues which have the most favorable organoleptic properties (taste, texture, aroma, and appearance). The research method was a completely randomized design with four formulas, namely 100% young jackfruit, 80% young jackfruit, 20% tempeh; 60% young jackfruit, 40% tempe; 40% young jackfruit and 60% tempeh. Organoleptic test with an assessment of 1-7 (very very dislike - very very like). The data in this study were analyzed descriptively quantitatively using a t-test analysis with a significance level of 0.05. Proportions of young jackfruit and tempe affect the organoleptic assessment of taste and texture. The best analog jerky formula based on consumer acceptance assessment criteria based on organoleptic is analog jerky using 100% young jackfruit with a taste value of 5.65 (likes-really likes), aroma 5.83 (likes-really likes), texture 5.41 (like - really like), and appearance 5.81 (like - really like).

Price Behavior of Beef and Chicken Meat in Indonesia

Stabilization of food prices is still a strategic issue in Indonesia. This is because most Indonesians use their income mostly for food. Various publications reported that Indonesian food expenditure is approximately half of their income. Therefore, maintaining price stability, including beef and chicken meat price, is a significant policy to design. However, the continuous difficulty in predicting how beef and chicken meat prices behave is another reason for the importance of analyzing the price behavior of these two commodities. This research aims to respond to these problems by analyzing price fluctuations and price trends in beef and chicken meat commodities in Indonesia. The data used is monthly beef and chicken meat prices in Indonesia from January 2018 until December 2022, or 60 observations. Analysis of price fluctuations (instability) and trend analysis is applied. The results show that commodity chicken meat has a higher instability (fluctuation) than beef price. Both beef and chicken meat trend show a quadratic pattern, with an increasing trend for beef and a decreasing trend for chicken meat.

PENGARUH KONSUMSI DAN HARGA DAGING SAPI TERHADAP PENDAPATAN RUMAH POTONG HEWAN SIMPANG RIMBO KELURAHAN KENALI BESAR KECAMATAN ALAM BARAJO

This study aims to determine the effect of beef consumption and beef prices on the income of the Simpang Rimbo slaughterhouse. This research is a quantitative type. The samples used were 36 types of secondary data. Based on the results of the study, there was one variable that did not significantly influence the income of the Simpang Rimbo slaughterhouse, namely the price of beef, while the other variable, namely beef consumption, had a positive and significant effect on the income of the Simpang Rimbo slaughterhouse. Simultaneously there is a significant influence between beef consumption and beef price. The Adjusted R Square (R2) value is 0.411 or 41.1%, which means that the influence of the independent variable on the dependent variable has an effect of 41.1% and the remaining 58.9% is influenced by other variables outside this study

The impact of African swine fever news sentiment on the Korean meat market.

Our study analyzed the impact of African swine fever (ASF) news on the Korean meat market using sentiment analysis. We applied a neural network language model (NNLM) to generate a sentiment index indicating whether the news had a positive or negative impact on consumer expectations. We analyzed 24,143 news articles to estimate the impulse responses of meat price variables to sentiment shocks. Our study contributes significantly to agricultural economics as it applies NNLM to generate a sentiment index. The empirical results indicated that ASF news sentiment has a substantial impact on meat prices in Korea, and there is evidence of substitution effects among different types of meat. ASF news has a positive impact on the price of pork, negative effects on beef and chicken prices, and a greater impact on the price of chicken than beef. The findings imply that the effect of ASF news on demand outweighs its impact on supply in the pork market, whereas the effect on supply surpasses the effect on demand in the beef and chicken market. We believe our methods and results will inspire discussions among applied economists studying consumer behavior in this specific market and could encourage the application of big data analysis to the agricultural economy.

Klasifikasi Citra Daging Sapi dan Daging Babi Menggunakan CNN Arsitektur EfficientNet-B6 dan Augmentasi Data

In daily life, beef often serves as a staple food for humans. However, the high and expensive price of beef has prompted traders to adulterate it with pork for the sake of profit. Such adulteration has serious implications in the Islamic religion, where not all types of meat are considered halal (permissible for consumption), such as pork. As a result, consumers often remain unaware that the beef they purchase has been adulterated with pork. At a glance, both types of meat exhibit similar appearance and texture, making them difficult to differentiate. This research aims to classify beef and pork using a deep learning model with the Convolutional Neural Network (CNN) method, combined with data augmentation. The model used is EfficientNet-B6 with variations in the testing scenario. The variations include the ratio of training and testing data, learning rates, and optimizer for EfficientNet-B6. Data augmentation is performed using techniques such as random rotation, shifting, image scaling, vertical and horizontal flipping, and nearest pixel filling. Evaluation results using the confusion matrix show that the model with data augmentation achieves the highest accuracy for the classes of beef, pork, and adulterated samples at 92.00%, while the model without augmentation achieves an accuracy of 91.67%. However, from this experiment, the best scenario to avoid misclassifying pork and adulterated samples as beef can be obtained. This scenario involves a model with data augmentation, a 90:10 data split, SGD optimizer, and a learning rate of 0.01, which achieves the highest precision for the beef class at 96.05%. The research findings demonstrate that the use of data augmentation on images can improve the model's performance, and the model with data augmentation, a 90:10 data split, SGD optimizer, and a learning rate of 0.01 exhibits the best performance in classifying beef images.

The Multivariate Forecasting of Chicken and Beef Prices Involving Weather, Economic, and Health Factors Using the Gated Recurrent Unit Method

Food security, especially in the livestock sector in the form of broiler chicken and beef cattle, is a strategic issue for Indonesia to always be able to balance supply and demand for these food commodities. Food price forecasting is needed to mitigate rising food prices for these commodities. Previous research on food price forecasting was only univariate forecasting and comparison of error results between forecasting algorithms. This study aims to perform multivariate forecasting of broiler and beef cattle prices in DKI Jakarta by involving weather, economic, and health factors using the Gated Recurrent Unit (GRU) algorithm where the accuracy test is based on the MAPE value. The GRU algorithm for multivariate forecasting of broiler and beef cattle prices yielded an average MAPE for training and testing of 0.471% and 1.150% indicating that all models in the very good accuracy category for multivariate forecasting of broiler and beef cattle were represented. In addition, the model also produces deviations between MAPE values in the training data and test data which are not too different so that the model developed with each price of broiler chicken and beef cattle is categorized in the best fitting category.

Analisis Faktor – Faktor Yang Memengaruhi Harga Daging Sapi di Jawa Barat

West Java has a consumption level of beef above the national average consumption level. Beef is an essential commodity for the residents and the economic system of West Java Province. However, the price of beef in West Java is unstable. In May 2021, beef became the second biggest contributor to inflation in West Java. High inflation has had a negative impact on economic actors, so efforts to stabilize beef commodity prices is important. The purpose of this research is to analyze the factors that influence the price of beef in West Java. This research applies a time series data of 2003-2020 and the error correction model method. The results of the study showed that the long-term variable price of chicken meat and international beef prices have a positive effect on the price of beef in West Java. Meanwhile, in the short term, the beef cattle population had a negative effect and the chicken meat price had a positive effect on beef prices in West Java. The results of this study indicate that a stable beef price can be achieved by increasing the population of beef cattle, especially culled cows and ready-to-slaughter bulls. In addition, the research results also show that chicken meat is a substitute commodity for beef, so to meet the public's need for animal protein, it is also important to stabilize the price of chicken meat. Stabilization of chicken meat and beef prices should be pursued to go hand in hand.

Facility design and worker justice: COVID-19 transmission in meatpacking plants.

Meatpacking plants were major sources of COVID-19 outbreaks, posing unprecedented risks to employees, family members, and local communities. The effect on food availability during outbreaks was immediate and staggering: within 2 months, the price of beef increased by almost 7% with documented evidence of significant meat shortages. Meatpacking plant designs, in general, optimize on production; this design approach constrains the ability to enhance worker respiratory protection without reducing output. Using agent-based modeling, we simulate the spread of COVID-19 within a typical meatpacking plant design under varying levels of mitigation measures, including combinations of social distancing and masking interventions. Simulations show an average infection rate of close to 99% with no mitigation, 99% with the policies that UScompanies ultimately adopted, 81% infected with the combination of surgical masks and distancing policies, and 71% infected with N95 masks and distancing. Estimated infection rates were high, reflecting the duration and exertion of the processing activities and lack of fresh airflow in an enclosed space. Our results are consistent with anecdotal findings in a recent congressional report, and are much higher than USindustry has reported. Our results suggest current processing plant designs made rapid transmission of the virus during the pandemic's early days almost inevitable, and implemented worker protections during COVID-19 did not significantly affect the spread of the virus. We argue current federal policies and regulations are insufficient to ensure the health and safety of workers, creating a justice issue, and jeopardizing food availability in a future pandemic.

Physical Composition Of Beef Carcass To Selling Price

The cattle industry in Indonesia is very important because it can provide an adequate supply of meat for the community. However, the cattle industry in Indonesia still faces various challenges, such as increasing production costs and low productivity. One way to overcome these challenges is to feed cattle with technology. The purpose of this study was to identify the effect of the physical composition of beef carcasses on the selling price of beef fed with technological feed. This study used a qualitative method with a descriptive approach. Data were collected using observation and literature study techniques. The results showed that the physical composition of cattle carcasses affects the selling price of beef. Cattle with heavier carcasses and a higher percentage of meat tend to have a higher selling price. In addition, cattle with a lower percentage of fat also tend to have a higher selling price. These findings suggest that the use of feed technology can improve the physical composition of cattle carcasses and increase the selling value of beef

ANALISIS PERMINTAAN IMPOR DAGING SAPI DI INDONESIA

The purpose of this study was to determine the development of beef imports in Indonesia. This study uses quantitative analysis with time series data regression. Secondary data was obtained from BPS by analyzing the coefficient of determination test (R2) so that an R2 value of 0.907 was obtained. This shows that 90.7% of the demand for beef imports in Indonesia can be explained by the variables of domestic beef prices, world beef prices, exchange rates, and income per capita, while the remaining 9.3% is explained by other variables outside the model. The results of the study show that the variable price of domestic beef, variable world meat prices, variable per capita income affect the demand for beef imports in Indonesia. However, the variable exchange rate of the rupiah against the dollar has no effect on the demand for imported beef in Indonesia.

Development of cattle breeding in crisis conditions

The article examines the current state and development trends of the cattle breeding industry in crisis conditions. The importance of the livestock industry, both for ensuring the food security of the country and for the development of rural areas from the point of view of ensuring the employment of the rural population and obtaining basic food products and income, is substantiated. However, during the period of market transformations, in the conditions of COVID-19 and the full-scale war started by russia, the livestock industry of Ukraine has undergone significant changes and lost a significant part of its resource potential. The dynamics of the cattle population, the volumes of milk and beef and veal production were analyzed. Significant structural changes in cattle herds were revealed depending on the categories of commodity producers. It has been proven that the main producers of livestock products have become households, which provide about 70 % of production volumes. The global COVID-19 pandemic also had a negative impact on the functioning of the livestock industry. The main participants in the supply chain of milk, beef and veal, primarily small producers and processors, faced many problems that limited their work. In particular, difficulties with the movement of milk and livestock in supply chains, lower prices for milk, beef and veal, a shortage of workers, increased production costs due to the introduction of safety measures. It has been established that a full-scale war of a terrorist country causes critical consequences both for Ukraine and for the livestock industry. Devastation, destruction, occupation of farms and cattle, destruction of fodder, fodder stocks and damage to logistics have reduced the supply of milk and beef in the country. It is substantiated that the further functioning of the industry and its efficiency directly depend on the government's policy and the motivational mechanism. In the conditions of a full-scale war, which has already been going on for over a year, the lion's share of financial resources is directed to military needs, therefore it econommeneg.btsau.edu.ua is not advisable to count on known state support. However, the Government of the country, within the limits of available resources and attracting foreign investments, continues active work to support dairy producers. It is argued that the concentration of production, including on the basis of cooperation of producers; improvement of fodder base and breeding; modernization of material and technical support; investment support from both state and international institutions. It is substantiated that the solution of existing problems in the industry will be facilitated by interaction and coordination of the interests of producers, processing enterprises and the state. Key words: cattle breeding, milk production, beef and veal, market transformations, COVID-19, fullscale war.