Sustainable Rabbit Production under the Global Warming Conditions in Southern Mediterranean Region

There is still a wide gap between meat demand and meat production in Egypt. This gap is becoming larger due to the direct and indirect impacts of global warming that negatively influence the grazing area and the performance of livestock. In this context, rabbits are considered as an alternative source for animal-origin meat. In the Southern Mediterranean region, the most obvious problem encountering rabbit production is the hot waves during the summer, especially during the last decades. The narrow thermo-neutral zone of rabbits makes the high temperature hinder the success of commercial production. Different strategies may assist rabbits in coping with heat stress, which are reviewed in the current study, including the improved management practices, development of new breeds, and implementation of different nutritional strategies.

COVID-19 Influence on Developments in the Global Beef and Sheep Sectors

While the COVID-19 pandemic and associated government responses have had a substantial impact on consumers and meat supply chains worldwide, the effect on beef and sheep farming has been surprisingly small, short-lived and largely offset by other global influences. However, the impact has also varied greatly between countries and regions, largely due to differences in Government measures and in industry circumstances and influences. This study aims to provide insights into the pandemic’s impacts throughout global beef and sheep supply chains, but with a focus on the farm level, particularly producer prices in 2020. At the centre of the study is an analysis of online questionnaire-based survey responses to the Global agri benchmark Beef and Sheep Network. The study also utilizes a variety of other studies and information sources to explore other potential factors that could have also driven beef and sheep sectors worldwide in 2020. It explores how these influences interacted with the effect of the pandemic. Food service sales were highly impacted by the pandemic, meat processing was temporarily disrupted in North America but global livestock prices remained high due, in large part, to the continuation of strong beef and sheep meat demand and imports in China.

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.

Meat Demand Monitor during COVID-19

Meat products represent a significant share of US consumer food expenditures. The COVID-19 pandemic directly impacted both demand and supply of US beef and pork products for a prolonged period, resulting in a myriad of economic impacts. The complex disruptions create significant challenges in isolating and inferring consumer-demand changes from lagged secondary data. Thus, we turn to novel household-level data from a continuous consumer tracking survey, the Meat Demand Monitor, launched in February 2020, just before the US pandemic. We find diverse impacts across US households related to “hoarding” behavior and financial confidence over the course of the pandemic. Combined, these insights extend our understanding of pandemic impacts on US consumers and provide a timely example of knowledge enabled by ongoing and targeted household-level data collection and analysis.

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.

Toward a Difference Approach: A Discrete Meat Demand System

While the differential approach to economic analysis is useful, the difference approach is indispensable as almost all economic data are discrete, rather than continuous. Thus, we must to investigate the integration of the differential with difference approaches. We show a difference quotient corresponding to a differential quotient, which is generally called a derivative, and a partial difference quotient corresponding to a partial differential quotient, which is generally called a partial derivative. From these, the difference approach produces a discrete demand system with logarithmic mean elasticities as parameters that corresponds to a continuous demand system with point elasticities as parameters produced by the differential approach. These systems should satisfy each budget constraint: the former for finite-change variables and the latter for infinitesimal-change variables. Based on these, we consider a discrete meat demand system, apply it to monthly demand for fresh meat in Japan, and estimate it using a weighted RAS method. The estimated demand system has two desirable properties: each estimated demand (theoretical value) of the conditional demand function coincides with each observed demand, and this system satisfies the difference budget constraint.