PERMINTAAN DAGING SAPI DI PROVINSI RIAU

The husbandry sub-sector is a source of supporting energy for human needs, especially beef. Beef is a food commodity that has had an impact on improving public nutrition, especially animal protein. This study aims to analyze the development of beef demand and variables that influence it in Riau, the factors that influence beef demand in Riau Province, and the price elasticity, income elasticity, and cross elasticity of factors affecting meat demand beef in Riau Province. This research used the literature study. The data used in this research was data time series from 1999 to 2015. Data were analyzed using descriptive statistics, multiple linear regression, and elasticity. The results showed that the overall average development of beef demand, beef prices, chicken meat prices, rice prices, population income, and the population increased during the period. The factors that significantly influence the demand for beef were the price of beef and the price of rice. Meanwhile, the price of chicken meat, the income of the population, and the population had no significant to the demand for beef. The results of the elasticity calculation of demand showed that beef prices, rice prices, and population income were responsive to beef demand. This indicates that changes in beef prices, rice prices, and population income had a major impact on changes in demand for beef.

Assessment of meat demand: A case study in the University of Ibadan for beef enterprise

Poor adherence to food safety and wholesome practices in meat processing and handling is a common phenomenon in some public abattoirs in Nigeria. The quality of beef consumed by the University community is an issue of concern. Information on the extent of beef patronage has not been documented. Thus, beef demand at the University of Ibadan abattoir was assessed. Ante-mortem and post-mortem inspections by the University Veterinarian were performed on slaughter days from January 2013 to April 2015. The data collected were customer: day of purchase, Department/Unit, sex and rank. The quantity demanded and the parts requested were also noted. Data were analyzed using descriptive statistics. The results showed that a total of 22,884 contacts were recorded. An increase in patronage from 42.24% in 2013 to 57.76% in 2014 was evident. Women (53.60%) requested for meat than male counterpart. The requests for 1-2kg, 2-4kg and above 4kg at a time were 58.9%, 19.1% and 10.0% respectively. For the day of purchase, the patronage was higher on Fridays (59.20%) as compared to Wednesdays. The last week of the month attracted higher demand (36.20%) than weeks 1 (21.0%), 2 (22.3%) and 3 (20.5%). A noticeable increase in demand was during festive periods. A high percentage occurred in the number of customers that specified the actual parts (63.5%) of the meat requested and those that did not while females specified more (57.82%) than males. Highest preference for special parts was observed among the Professors (45%). More patronage was observed for people at closer Departments/Unit to the abattoir. It may be concluded that day of slaughter, proximity to slaughter house, sex, status and special occasions are vital factors that affect beef demand enterprise in the University of Ibadan.

Analysis of Factors Affecting Demand for Cattle Meat in the City of Padang Sidempuan

The amount of beef consumption has fluctuated from year to year. The large amount of public consumption of beef is a reflection of the condition of public demand for beef, which is estimated to have a number of causes. The purpose of this study was to identify factors of beef price (X1), family income (X2), number of dependents (X3), price of chicken (X4), price of fish (X5), price of tofu / tempeh (X6) of meat demand in the city of Padang Sidempuan. The method of analysis is multiple linear regression analysis using SPSS 22.0. The sampling technique had 150 respondents. The results showed that the estimation results obtained a determination value (R2) of 0.666. Simultaneously, all independent variables had significant effect (P <0.05) on the amount of beef demand. Partially, family income, number of dependents, and the price of chicken have an effect on beef demand. Meanwhile, the variables of beef prices, fish prices and tofu / tempeh prices do not affect the demand for beef in the city of Padang Sidempuan. The conclusions of this study indicate that the variable family income is the variable that has the most influence on the demand for beef and is followed by the variablenumber of dependents and the price of chicken meat.

Faktor-Faktor Yang Mempengaruhi Permintaan Daging Sapi Di Kota Pematangsiantar

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.

Estimasi Permintaan Daging Sapi di Provinsi Jawa Timur dengan Model Sistem Pengeluaran Linier

<strong>English</strong><br />Beef is a basic food for which Indonesian government controls the commodity production and trade. Formulation and socio-economic impact evaluation of the beef production and trade policies requires understanding of the beef demand behavior and parameters. Accordingly, this study aims to analyze the beef demand behavior and estimated elasticities in East Java Province. This study uses primary data Susenas from the 2016 Central Bureau of Statistics, assuming that the beef demand function uses the Linear Expenditure System (LES) with the Seemingly Unrelated Regression (SUR) method. Factors that have a positive and significant effects on the demand for beef are the prices of fresh shrimp, native chicken meat, and processed meat. In aggregate explained that the commodities of beef, fresh shrimp, native chicken meat, and processed meat are elastic in price. Cross elasticities show that fresh shrimp, native chicken and processed meat are substitute commodities of beef. Income elasticities show that all animal protein commodities in urban and rural areas are normal good. Realizing that native chicken meat is a substitute for beef demand, its recommended for the government to facilitate accelerating growth of the native chicken meat production and slowing down the beef demand growth as part of the strategy to achieve beef self-sufficiency, increasing farmers ‘welfare and promoting rural economic development.<br /><br /><br /><strong>Indonesian</strong><br />Daging sapi adalah salah satu bahan pangan pokok bagi penduduk Indonesia yang produksi dan perdagangannya diatur pemerintah. Perumusan paket dan analisis dampak sosial ekonomi kebijakan produksi maupun perdagangan daging sapi membutuhkan informasi tentang perilaku dan parameter permintaan daging sapi. Tujuan penelitian untuk mengetahui perilaku dan mengestimasi elastisitas permintaan daging sapi di Jawa Timur. Penelitian ini menggunakan data primer Susenas Badan Pusat Statistika 2016 dengan menduga fungsi permintaan daging sapi menggunakan model Sistem Pengeluaran Linier (Linear Expenditure System) yang diestimasi dengan Seemingly Unrelated Regression (SUR). Faktor yang berpengaruh positif dan signifikan terhadap permintaan daging sapi adalah harga udang segar, daging ayam kampung, dan harga daging olahan. Secara agregat, permintaan daging sapi, udang segar, daging ayam kampung, dan daging olahan bersifat elastis terhadap harga. Elastisitas silang menunjukkan bahwa udang segar, daging ayam kampung, dan daging olahan merupakan komoditas substitusi untuk daging sapi. Elastisitas pendapatan menunjukkan bahwa semua komoditas protein hewani di perkotaan maupun perdesaan merupakan barang normal. Memperhatikan bahwa permintaan daging sapi bersubsitusi dengan daging ayam kampung maka disarankan agar pemerintah memfasilitasi akselerasi peningkatan produksi daging ayam kampung guna mengurangi peningkatan permintaan terhadap daging sapi sebagai bagian dari strategi mewujudkan swasembada daging sapi, peningkatan pendapatan petani dan mendorong pertumbuhan dan pengembangan perekonomian desa.

60 Arkansas Beef Industry Assessment: Producer Results

This study sought producer insight into strengths, limitations, opportunities, and threats to Arkansas’ beef cattle industry. The study included small commercial cow-calf (SC, <50 cows), large commercial cow-calf (LC), purebred (PB), and stocker (ST) operators. The study was completed in 2 phases. Phase 1 involved a listening session. Phase 2 involved a statewide survey based on comments from the listening session. A sample of 100 individuals from each industry group was selected randomly from a larger list of contacts. Participants only completed surveys that aligned with their production system. Participants ranked each comment on a 5-point Likert scale. Response rate was 47%. Response mean and standard deviation was calculated for each comment. The mean and median comment rank were 3.99 and 4, respectively. There was strong negative correlation (-0.72, P < 0.001) among comments mean rank and deviation. The overall 75th percentile (4.26) was used to identify greatest items of importance. Greatest current strengths included benefiting from off-farm income, benefits, and insurance (SC); being able to invest in quality bulls (LC); investing in genetic improvement (PB); and adding value to Arkansas’ cattle industry (ST). Greatest limitations included equipment (SC) and land costs (SC and PB), buyer education (PB), cattle health (ST), and state reputation (ST). Highly important future opportunities include economical feed (SC), beef demand (LC, ST), stewardship (LC), genetic improvement (LC, PB), consumer education (PB), disease management (ST), better marketing systems (ST), and value added programs (ST). Greatest foreseen threats included beef demand (SC), government regulations (SC, LC, PB), market volatility (PB), youth interest and aging farmer (PB), loss of antibiotics (ST), disease resistance (ST), escalating costs (ST), and feed shortage (ST). Listening sessions and surveys provide insight into producer thoughts and concerns and provide a foundation for Extension programming.

Analisis Permintaan dan Elastisitas Daging Sapi pada Tingkat Rumah Tangga

This study aims to determine the level of beef demand, the factors that affect beef demand and measure and identify the role of the elasticity of factors that affect beef demand. Sampling is done by simple random sampling. The data analysis method used is qualitative (descriptive) and quantitative analysis. The results showed that the demand for beef at the household level in Sei Sikambing B village, the average beef consumption was 2.2 kg / month. Simultaneously the test results show that the variable beef prices, fish prices, chicken meat prices, egg prices, the level of household income, the number of family members, and taste have a real impact on the amount of beef demand at a 95% confidence level. On the price of partial fish, the price of chicken cuts, the level of household income and tastes significantly influence the demand for beef at a 95% confidence level, while the variable beef prices, egg prices, and the number of family members do not significantly influence the demand for beef meat at the level 95% confidence. From the estimation that the determination value (R2) of 67.8% variation of the seven variables can explain the amount of beef demand, while the remaining 32.2% is influenced by other variables. Beef demand is not elastic to changes in beef prices.Keywords: Demand, Elasticity, Price, Beef, Income

Changing Consumption Patterns—Drivers and the Environmental Impact

Economic growth coupled with population increase and globalization have engendered structural changes in consumption patterns around the world. Contingent on their composition, these changes can be demanding on natural resources and pose unsustainable challenges for the environment. The paper aims to provide a general framework to assess the link between changing consumption patterns and their environmental impact by focusing on the rising beef demand in Vietnam. It draws from secondary literature and data to find that the increased beef demand in Vietnam is mostly met domestically, but there is a major dependency on imports. Within Vietnam, the rising demand has contributed substantially to the carbon footprint and land use and raised waste disposal concerns. To understand the impact of Vietnamese beef demand at the global level, the paper looks at Australia. Carbon footprint and land use are estimated to provide a perspective on the plausible scale of environmental damage that can be ensued in the future. Changes in consumption patterns are an integral part of our world and will play a significant role in determining the sustainable future of our planet. Therefore, it is important to attain a better understanding of the theme and its possible impact on the environment.

Study of Beef Availability Potential in Yogyakarta Special Province (DIY) through Multi Criteria Analysis (MCA) Model by Spatial Geographic Information System

The increasing human population and income per capita in Indonesia have many impacts to the demand of food, not only staple food but also the secondary food too, including meat and beef demand. Based on data from Central Statistics Bureau of 1995–2016, beef demand in Indonesia has been increasing. This condition must be anticipated by preparing the supply, especially the availability of beef in Daerah Istimewa Yogyakarta province. In Yogyakarta city, one of the regencies of DIY, the demand rate grows by 3.2%/year, higher than the supply growth rate by 2.08 %/year. This gap needs to be thought through the case of scarcity of beef on the market. This study aimed to identify the potential of supply in five parameters i.e.: beef population, the availability of semen for artificial insemination (IB), the availability of livestock feed plants (HMT), the number of cows that enter DIY, and the number of cows that exit from DIY. A model Spatial Geographic Information Systems (SGIS) has been used in this study. The study revealed the most potential area for the development of beef agribusiness, based on the availability side, was Gunung Kidul Regency, and the less potential was Yogyakarta municipality.