Analysis and comparison of the asset situtation of the hungarian poultry and pork sector between 2005 and 2015

Meat has been playing an important role in the nutrition of humanity from the beginning of time; therefore meat is a fundamental foodstuff. Global population is steadily increasing and people consume more and more foodstuff with high added value including meat and dairy products. In context of meat production and consumption, poultry and pork sector are the major predominant sub-sectors not only nationally, but also internationally. Pork sector had a definite leading role until the end of 1990s. However, this trend has undergone changes and poultry sector is predicted to have this leading role, according to current trends. The aim of our research is to reveal and analize what impacts this structural change have on businesses in these sectors including their asset situations.

IMPACT OF THE RUSSIAN TRADE BANS ON LITHUANIAN PORK SECTOR

Over the last decade, Lithuanian pork sector faced dramatic changes, where trade relations with Russia had an important role. The research problem is defined as follows: how does the trade ban of Russia, imposed towards live pigs and pork originating from Lithuania, affect price changes on domestic Lithuanian pork market? The research aims at estimating the effects of the trade ban caused by the outbreak of the swine fever in Lithuania and providing proposals on situation development. The aim is achieved by analysing the transmission of price changes between Lithuanian and Russian pork markets by using the ARDL model. The results indicate a significant decrease in transmission of price changes, both in short- and long-run, from Lithuanian pig prices towards Russian domestic prices during the ‘2011 ban’ regime and further worsening of the situation during ‘2014 ban’ period that was mainly caused by the isolation of the Russian market and lack of export diversification strategy from the Lithuanian side. In Lithuania, high price volatility was not typical during the bans, while negative effects on welfare of farmers were evidenced by reduced trade volumes, which could be improved by biosafety and disease spread reducing measures, reassessing trade regulations and partners’ network.

Complete Genome Sequence of Salmonella enterica subsp. enterica Serotype Derby, Associated with the Pork Sector in France

In the European Union, Salmonella enterica subsp. enterica serovar Derby is the most abundant serotype isolated from pork.

Differences in quality governance: the case of the Brazilian pork chain

Purpose The purpose of this paper is to analyze the relationships between coordination mechanisms (CMs) and quality requirements used to support transactions in the Brazilian pork chain. Design/methodology/approach Based on the transaction cost economics theory, the paper focuses on the alignment between CMs and quality requirements. The results were obtained by means of interviews (n=41) with public and private actors, including the main companies and other stakeholders in the Brazilian pork sector. The research addresses regulations, requirements of customers and supporting CMs used in different transaction contexts. Findings In the Brazilian pork sector, five transaction contexts can be distinguished: spot market, mini integration, singular cooperative, central cooperative and investor-owned firm. The chain actors apply different CMs to support a set of quality requirements which presents little diversity. The main quality requirements are driven by baseline public regulations. Besides, there are, in particular international, customers with more specific requirements. To support transactions, chain actors use different contracts in terms of resource allocation and price incentives. Originality/value Literature assumes alignment between governance structures (GSs) and quality standards. This paper further investigates this assumption by analyzing the relationships between CMs (underlying GSs) and quality requirements (underlying quality standards). The research findings show that similar quality requirements may well be supported by different CMs. It further gives indications on why different CMs are used to support a homogeneous set of requirements.

Impact of the Farm Income Stabilization Insurance Program on Production Decisions in the Quebec Pork Industry: An Empirical and Theoretical Analysis

<p class="sar-body"><span lang="EN-CA">The Farm Income Stabilization Insurance Program (ASRA) is an agricultural program implemented in several agricultural sectors in Quebec, including the pork sector. This article aims to empirically assess the effects of this program on production decisions in the pork industry in Quebec using a Vector Error Correction Model (VEC). As variables we used the pig supply, the price of pork, and stabilized income. The dataset contains information about the pork sector which cover the period 1981-2014. The annual average growth rate of the quantity offered in this period is 5.24%. The results suggest that the supply of pork is strongly correlated with lagged values of stabilized income. The results also show that there is only one long-term relationship between the three variables above-mentioned. By contrast, in the short term, an increase of one percentage point of the stabilized income leads to an increase of 0.80 percentage point of pork supply in the next period while an increase of one percentage point of pork price will result to a decrease of 0.47 percentage point of the production. Pork production decisions are dominated in short-term by the presence of ASRA program. This shows evidence that without the ASRA program, pork production would be less. These results confirm some of the criticisms of this program. Thus, through this article we suggest a compensation indicator which internalizes market signals in order to improve pork industry efficiency. Simulations of the compensation indicator were also performed. The adoption of this indicator as a measure of compensation for the ASRA program will generate an efficient production system, reduce the deficit of the program, and improve the competitiveness of pork industry. This indicator can be applied to other agricultural sectors covered by the ASRA program.</span></p>