The primary aim of this study was to investigate the most important variables affecting the consumption of poultry white meat (PWM), as well as assessing the current situation of the production capacity of PWM in Egypt. In addition, descriptive statistics was performed for the most important variables affecting the consumption of PWM in Egypt. Besides, the most important variables influencing the consumption of PWM were determined using factor analysis model in the form of Double logarithmic regression during the period of 2000-2020. To achieve the objectives of the study, descriptive and quantitative analysis methods were used, represented by using some of multiple statistical methods and models to estimate the linear regression in double logarithmic form and the factor analysis of the most important variables influencing the consumption of PWM in Egypt. According to the results, the value of white meat amounted about 22.47 billion LE (£L = Egyptian pound) annually, representing 8.86% of the value of agricultural production during 2000-2020. Also, the results showed a significant relationship between exchange rate, per capita PWM, population, time, consumer price of municipal poultry meat and consumption of PWM in Egypt, where a change by 1% in the exchange rate and per capita PWM, population, time and consumer price of municipal poultry meat leads to an increase in the consumption of PWM by about 0.056 thousand tons, which is an inverse relationship consistent with the economic logic in association with the exchange rate variable, as well as an elevated consumption of PWM with about 0.817, 2.396 and 0.045 thousand tons, which is a direct relationship consistent with the economic logic with respect to the per capita variables of PWM, population and time, respectively, as well as the decrease in consumption of PWM by about 0.205 thousand tons, which is an inverse relationship consistent with the economic logic in relation to the consumer price variable for municipal poultry meat (according to the consumer's taste as well).

This paper estimates demand elasticities for camel meat in Saudi Arabia (KSA) using the Linear Approximate Almost Ideal Demand System (LA-AIDS) model and the nonlinear AIDS model. The results show that the demand for camel meat is price inelastic. The income elasticity of demand for camel meat, based on the linear AIDS model, shows that camel meat is an inferior good, while the nonlinear AIDS model indicates that camel meat is a normal good. Furthermore, this paper estimates nutrients elasticity of meat in KSA by focusing on energy, protein, and fat. Compared to other meat products, the results show that energy and protein received from camel meat consumption are considered the least affected meat item in KSA by income and price changes. Fat received from camel meat consumption is more sensitive to prices and income changes compared to other meat items in KSA.

This paper analyzes the demand for meat in Egypt for the period 1990–2005 using the linearized Almost Ideal Demand System to estimate own-price, cross-price and expenditure elasticities. It found that the Marshallian own-price elasticity was the highest for fish, followed by chicken, beef and duck. On the other hand, the crossprice elasticity of beef showed a complementary relationship with the other meat types, except for fish, which is substitutive. Chicken and fish showed a substitutive relationship with all other meat types. Duck showed a substitutive relationship with all meats except rabbit. Mutton and rabbit showed a versatile relationship with the other meat types. The highest substitutive relationship was between mutton and beef. Compensated own-price elasticity estimates showed similar trends but smaller values than uncompensated ones, which is theoretically consistent

The aim of the paper is to analyze the impact of socio-economic and demographic variables on the demand for meat and fish for Tunisian consumers. This study is one of the first applications in Tunisia with respect to the demand for meat and fish that simultaneously covers two important aspects: the non-imposition of, a priori, a functional form and the use of cross-section data including demographic and socioeconomic variables. The main results show that meat and fish consumption patterns by age, level of income and level of education are relatively different as regards to the economic factors (food expenditure and price). The changes in demographic and economic characteristics are influencing the changes in meat and fish demand.

Animal foods are a major source of protein for households. Gorontalo Province has a lot of potential for marine fishery development, despite being one of the provinces where families consume less protein than the national protein sufficiency rate. This article investigates the household elasticity of demand for animal food in the context of increasing prices and incomes. The Quadratic Almost Ideal Demand System is used in to estimate the share equations from which reliable price and income elasticities can be derived. The article utilizes secondary data from the National Socio-Economic Survey for March 2021, which includes consumption and household expenditure information on all animal protein-containing meals, 4,811 households make up the study's sample. All animal foods, except for eggs, were found to be highly price elastic. The most elastic food is beef, which has a demand elasticity of 3.829%, followed by chicken meat (3.13%), fish (2.345%), milk (1.311%), and eggs (0.846 p...

The study examined the consumers demand and preference for meat in Bauchi State. A multistage sampling technique was used to select five hundred and eighty-six households in the study area and data were collected through the use of structured questionnaire. The data were analyzed using descriptive and inferential statistics. The results of the study revealed that, most (96.9%) of the household heads were male and married (89.8%) with about 35.7% of them having secondary education and 30.0% taken farming as their occupation. The study also revealed that, the mean monthly household head income and mean monthly expenditure on beef, mutton and chicken as N2,287.96, N1,946.04 and N1,734.44, respectively. It was further revealed that, households spend more on beef and least on chicken. The results of the regression analysis on the determinants of household demand for beef, mutton and chicken revealed that, household size, market locations, price of meat, household head monthly income and ...