Livestock products in the Third World: past trends and projections to 1990 and 2000

Meat industry and trade Developing countries Statistics., Dairy products industry Developing countries Statistics., Meat industry and trade Developing countries Forecasting Statistical methods., Dairy products industry Developing countries Forecasting Statistical methods.,

Where have all the packing plants gone? : the new meat geography in rural America

The meat industry is an economic powerhouse for rural America---accounting for roughly one of every 16 rural manufacturing jobs. Moreover, this rural powerhouse is adding jobs at a fast clip, with recent growth of 8.5 percent a year versus just 1.2 percent a year for all rural manufacturing industries. Finally, rural America has captured a commanding 52 percent of all meat industry jobs, far above the level of a decade ago.> While all these figures are welcome news to rural areas eager to expand employment, geographic shifts under way in the industry raise fresh doubts over which rural communities will land new meat plants. Once concentrated in midwestern urban centers like Chicago, the meat industry is now most often found in rural towns and hamlets---and often far from the Midwest. Poultry-processing has moved to the Southeast. Beef packing plants have moved to the Great Plains. And pork packing plants have begun moving out of the Corn Belt to the Southeast and Great Plains, but where they go next is highly uncertain, with the future location of hog production itself very much in question.> What geographic shifts lie ahead for the meat-processing industry? And what do the shifts in this powerhouse industry mean for the future of the rural economy? Drabenstott, Henry, and Mitchell review some critical trends in the meat industry by examining for the first time a special database on the industry, the Longitudinal Research Database (LRD) maintained by the Bureau of the Census. They conclude that the meat industry is likely to concentrate geographically even more in the future, promising a new source of economic growth for some rural communities while leaving many others behind. Yet even in areas where the industry does locate, a sharp drop in industry wages raises new questions about its local economic impact.Meat industry and trade ; Rural development

Dynamics of Price-Cost Margins in the U.S. Meat Industry

This study analyses the stochastic behavior of price-cost margins (PCMs) in the U.S. meat industry. It, first, develops and estimates a vertical relationship economic model to derive PCMs in the U.S. meat industry (Beef, Pork, and Poultry). Second it analyzes the behavior of PCMs by decomposing them into their seasonal, cyclical, and trend components using the state-space and the Kalman filtering methods. Price-cost margins in the U.S. meat industry are governed by two common trends and two common cycles. The study also found cyclical variability of PCMs is the highest with chicken, secular variability of PCMs is the highest with pork, while seasonal variability of PCMs is the highest with beef.Price-cost margins, market channel, meat industry, state-space Kalman filter, Demand and Price Analysis, Livestock Production/Industries,

Work design improvement at Miroad Rubber Industries Sdn. Bhd.

Erul Food Industries known as Salaiport Industry is a family-owned company and was established on July 2017. Salaiport Industry apparently moved to a new place at Pedas, Negeri Sembilan. Previously, Salaiport Industry operated in-house located at Pagoh, Johor. This small company major business is producing frozen smoked beef, smoked quail, smoke catfish and smoked duck. The main frozen product is smoked beef. The frozen smoked meat produced by Salaiport Industry is depending on customer demands. Usually the company produce 40 kg to 60 kg a day and operated between for four days until five days. Therefore, the company produce approximately around 80 kg to 120 kg per week. The company usually take 2 days for 1 complete cycle for the production as the first day the company will only receive the meat from the supplier and freeze the meat for use of tomorrow

STRUCTURAL CHANGE OR LOGICAL INCREMENTALISM? TURBULENCE IN THE GLOBAL MEAT SYSTEM

In the last ten years the global meat industry has encountered numerous critical events related to food safety and food quality. These events in turn have caused the industry to re-evaluate how the meat supply chain functions and how to service the new social attributes demanded in the market place. Issues like source-verified, non-GMO, and organic are becoming important sources of product differentiation. How should firms in the meat supply chain respond? This study uses a needs assessment approach with meat supply chain managers and direct cataloguing of retail meat cases to better understand how the US meat supply chain is reacting to the turbulence in the industry.Livestock Production/Industries,

Is It a Jungle Out There? Meat Packing, Immigrants, and Rural Communities

The shift of the U.S. meat packing industry from urban to rural areas has generated controversy regarding potential social and economic costs of meat packing plants on their host communities. This study uses media comments to identify the most prominent controversies regarding meat packing, its largely immigrant workforce, and rural communities. We find that the industry has impacted the demographic composition of rural communities and their schools, but find no evidence that the industry increases per capita government expenditures. Our results suggest rural communities trade off the economic benefits of hosting these large employers against the costs of accommodating needs of new residents.immigration, meat packing, rural communities, Community/Rural/Urban Development, Livestock Production/Industries,

A RATIONALE FOR CAPTIVE SUPPLIES

Captive supplies, concentration, meat industry, poultry industry, Agribusiness,

STRUCTURAL CHANGE IN THE U.S. MEAT AND POULTRY INDUSTRIES

Market structure, concentration, meat industry, poultry industry, Industrial Organization,

A Comparative Analysis of the Meat Sector in Hungary and Emilia-Romagna: Performance and Efficiency

In the last years, a lot of important changes occurred inside the European Union after the entering of 12 new member States. The rate of economic growth of the new member States has been higher the other EU members. In Hungary, particularly, the growth level has reached an intermediate position, placing itself at 4% GDP per capita. Comparative analysis are needed to better understand the process of catching-up and to evaluate how the integration between EU regions and countries is going on. The aim of this paper is to compare the economic and efficiency performance of firms in Hungary and Emilia-Romagna, considering a specific sector, meat processing and storage, of the food industry). We will investigate if in the last years the integration process has ultimately led to narrow the gap in the economic performances and efficiency of the firms. The choice of meat processing industry is due to the fact that in Hungary theres a remarkable animal production, whereas in the Emilia-Romagna region the meat industry reflects an organizational structure based on the concentration and specialization in agri-food districts. This paper compares the financial-economic performances and the technical efficiency of firms involved in the industry of meat processing in Hungary and in an Italian region, Emilia-Romagna. We will also discuss and compare the different results obtained throughout governance and structure of meat industry. We will underline the main role of the industrial districts in Emilia-Romagna, and how the Hungarian entrepreneurial system could handle the competition in the global market.Firms financial-economic performances, stochastic production function, agri-food districts, meat processing industry, Hungarian and Emilia-Romagna food industry, Livestock Production/Industries,

Meat color recognition using machine vision

New technologies are being developed to give an ease to the human in a variety of different field each and every day. Food industry is the key of development that led to the rise of human civilization. The development of food industry dealt with the husbandry of domesticated animal and plants creating food surpluses that enabled the development of more densely populated and stratified societies. The study of food is very important that improves the quality of human's life. When it comes to classify and grade a meat, the color of fresh meat is a sensory indicator of which affects the consumers behavior, especially the consistency of meat color and musculature. Other factors that influence consumers purchasing include security, nutrition and taste. There has been no report that grades the meat freshness in the process of meat delivery. Most of the meat freshness is grading manually by using the human eyesight at the meat's color and quantity of fats. A parameter to show the freshness of meat has only been analyzed manually using a human's eyes. This is some kind of difficult method when making a right decision whether the meat is fresh or not. In order to overcome this problem, meat grading method has been studied to show the mathematical calculation on the change of color hue, saturation, and intensity (HSI) values. This study focuses on grading system design that helps to characterize the meat freshness according to its color. Using a MATLAB Graphical User Interface (GUI) program, it can analyzes the color of the meat that being inspected. The theory of this program includes the calculation of the mean values and histograms, and the final result. This system is capable of classifying meat freshness