scholarly journals Analysis of the producer price of Hungarian raw milk in international comparison

2012 ◽  
Vol 6 (5) ◽  
pp. 27-32
Author(s):  
Beáta Blaskó

Although the dairy market crisis eased in 2011, Hungarian dairy farmers still find it difficult to produce milk profitably. As a result of the crisis, many dairy farmers abandoned milk production or reduced the size of their dairy herds in 2009 and 2010. Today, many of farmers are also considering ceasing production, in spite of the fact that the global dairy industry is facing an upturn. A dairy farm can operate profitablyy in three ways: 1) if it can reach a relatively high level of producer price 2) if it can increase milk production per cow 3) if it can achieve a relatively low cost of production. In the present study, I primarily analyse the development of the Hungarian producer price of raw milk in international comparison. Next, I list those factors which directly or indirectly influence the producer price of raw milk. Finally, I examine the relationship among disposable income, milk consumption and milk price. Since the start of 2009, the dairy market has been confronted with a period of extraordinary law prices. After bottoming out, prices had begun to slowly stabilise during the second half of 2009. By the end of that summer, international prices had started to strengthen and the last quarter of 2009 was characterized by a steady rise in prices. The strong recovery in prices experienced after 2009 was triggered by increased demand, mainly from oil exporting countries, but also from China. The price increase, however, reflected a significant increase in input costs in Hungary; the high level of feed prices and the unfavourable change in the macroeconomic environment must be stressed. The rising excise duty on diesel fuel and the VAT increase had a direct impact on Hungarian dairy farmers. These negative factors have increased the costs of the sector, narrowing the ability of those active in it to operate efficiently.

Author(s):  
S. Shupyk

The article analyzes the support for the US market, where the government has allocated almost $ 22.2 billion for the development of dairy cattle. direct and indirect subsidies to the country's dairy sector (35.02 c/l), which is equivalent to 73% of farmers' milk sales, showed relatively high domestic support, export subsidies, conservation programs, risk management programs, disaster relief programs, loan programs, crop insurance, livestock support. Surveys to support the Indian market, which ranks second in the world in raw milk production (9.5%), have shown that almost 80% of small-scale farmers are small-scale farmers. Milk collection is carried out by 130 thousand dairy cooperatives. NABARD (National Bank for Agriculture and Rural Development) under DEDS, provides for subsidies of up to 25% of costs. China is investing heavily in the construction of large dairy farms and livestock complexes with up to 100,000 cows. The Australian market produces 9.3 million tonnes of milk, of which 36% is exported and is the world's fourth exporter of dairy products (6% of the world market). Australia's dairy cattle are characterized by a small amount of direct government support. During 2015-2016, agriculture received financial and commercial assistance over $ 147 million. US in the form of payments to farms. It has been established that price forecasting plays an important role in regulating the milk market in Australia, on the basis of which the profile Ministry, taking into account world prices, generates milk price indices. Analysis of milk production in Switzerland has shown that it remains highly subsidized. In 2013, state support for milk producers amounted to CHF 1.8 billion, incl. direct subsidies are estimated at 1.5 billion Swiss francs, which is 61 thousand Swiss francs per dairy farm, or 0.41 Swiss francs per 1 liter of milk. The state support system for dairy cattle in Canada has been found to include the following instruments: import tariffs that restrict dairy imports; minimum guaranteed prices for raw milk that are set at the maximum amount of milk sold to the dairies within the quota; a system of direct payments to farmers for milk production within the quota. The amount of direct payments per 1 liter of milk is set annually by the government. In order to support Canadian producers in technological modernization aimed at improving the efficiency of milk production, a dairy farm investment program (DFIP) is implemented with state support of $ 250 million. USA According to the Organization for Economic Co-operation and Development (OECD) in Iceland, Japan, Norway and Switzerland, the level of support for dairy producers exceeds on average 70% of the gross income of farmers, in Canada, the EU, Hungary, Korea and the USA the amount of support is 40-55%. An analysis of the support for the development of dairy cattle in the EU countries showed that the following instruments are allocated for these purposes: production restrictions (milk production quotas); government interventions and storage; Establishment of product sales regulations / regulations; the dairy package (including regulating contractual relations in the dairy sector); foreign trade (import regulations, export subsidies); government subsidies. It is found that the main factor that increases the profitability of dairy production in developed countries is the improvement of quality and differentiation of the range. Major factors contributing to the successful development of dairy cattle are increased government support and economical use of resources. Also used are a set of financial incentives, including reducing the tax burden. Key words: Livestock, milk market, domestic support, development programs, cooperation, financial incentives, subsidies, import tariffs, quotas.


2020 ◽  
Vol 148 ◽  
Author(s):  
A. C. Berge ◽  
T. Baars

Abstract There is world-wide increasing interest in the consumption of unprocessed, natural food commodities including fresh (unpasteurised) milk and milk products. Consumers are actively seeking out raw milk, partly due to health reasons, but also for taste, freshness, closeness to the producer and to support local agriculture. The need for high levels of hygiene and safety in farms producing raw milk for direct consumption has long been recognised and has led to federal and industry-initiated systems for safe raw milk production. Raw milk producers in North America and Europe have demonstrated that raw milk, intended for direct consumption, can be produced safe and hygienic. The aim of this paper is to describe practices that have been developed for safe raw milk production. The German Vorzugsmilch is a federally regulated programme for legal raw milk production that was established already in the 1930s to provide raw milk with high hygienic standards controlled for zoonotic diseases to consumers. The Raw Milk Institute is a non-profit organisation established in California that has developed a voluntary safe raw milk programme in North America. RAWMI has developed a risk analysis and management system for raw milk dairy farmers to assist farmers in making individually tailored solutions for various production systems. In British Colombia, Canada, small herd share farms have employed good manufacturing practices, a risk management approach and performed monthly samples for pathogens and indicator bacteria to demonstrate safety and consistency. The major components of the raw milk systems applied, and the results of regular milk microbial indicator bacteria are presented. For the German system, the results from standard monthly pathogen tests are compared to zoonotic pathogen tests from other milk sources. The overall results indicate that raw milk can be produced with a high level of hygiene and safety in various systems.


Author(s):  
S. N. Makokha ◽  
V. Metto ◽  
D. Yongo ◽  
D. Nyongesa ◽  
M. Mwirigi

Dairy in Kenya is a major source of employment, with smallholders contributing more than 70 percent of gross marketed milk production. Dairy marketing is dominated by the informal sector where raw milk is sold directly to consumers, suggesting low use of technical know-how to improve production as well as quality and safety of milk. The study therefore was conducted to understand the level of information on dairy, as well as determine factors influencing the awareness of dairy standards among smallholder dairy farmers in Meru and Uasin Gishu counties in Kenya.  A random sample of 273 households was selected and personal interviews conducted. Data were entered and analysed by use of the Statistical Package for Social Scientists (version 20). Descriptive statistics by use of percentages, and a logistic regression model were used to analyse data. The results depict a low level of information on quality and safety of milk, and the regulatory institutions in Kenya had limited influence on improved milk production, quality and safety. Farmers with marketing contracts, those with an upgraded value chain were more likely to access information, while older farmers were less likely to access the information. In order to increase complicity with the regulations, regulatory institutions should increase awareness on the potential benefits of adhering to dairy standards. Farmers should be registered and enter contracts with buyers, and older farmers targeted to provide information. Research and development organisations should make farmers aware so that farmers can demand for information and lobby for services from government institutions.


Author(s):  
Stephan Hoehl ◽  
Sebastian Hess

Abstract Increasingly, European dairy farmers have to manage the raw milk price risk. Price hedging for raw milk and an increasing number of individual fixed-price contracts with processors are now available. However, the choice of hedging a certain share of milk output still leaves individual farmers facing a complex decision. The cash flow model in this study explains the probability of a typical northern European dairy farm surviving illiquidity over an 18-month period under common milk price volatility. The probability of farm survival was modelled in relation to available liquidity buffers and different levels of farm-specific production costs. The model allowed minimum shares of milk output to be determined, for which a fixed price should be hedged if the objective is farm survival at a given probability. Using these modelling results, practitioners are able to determine this share graphically.


Author(s):  
C. Van der Geest

I am a 30-year-old sharemilker on my parent's 600 cow developing farm near Blackball on the western side of the Grey Valley. Earlier this year I competed in the National Young Farmer of the Year competition and finished a close third. So what is information? There are two types of information that I use. There is data gathered from my farm to help fine tune the running of the day to day operations on the farm And directional information This is the information that arrives in papers and directs the long-term direction and plans of the farm and farming businesses. Due to the variability in weather on the Coast there is a greater need to monitor and adjust the farming system compared to an area like Canterbury. This was shown last year (2001/02) when the farm was undergoing a rapid period of development and I was under time restraints from increasing the herd size, building a new shed as well as developing the farm. The results of the time pressure was that day to day information gathering was lower resulting in per cow production falling by 11% or around $182 per cow. So what information was lacking that caused this large drop in profit. • Pasture growth rates • Cow condition • Nitrogen requirements • Paddock performance • Milk production • Pre-mating heat detection As scientists and advisers I hear you say that it is the farmer's responsibility to gather and analyse this information. You have the bigger topics to research and discover, gene marking, improving pasture species, sexing of sperm and ideas that I have not even contemplated yet. This is indeed very valuable research. Where would farming be without the invention of electric fences, artificial breeding and nitrogen research? But my problem is to take a farm with below average production to the top 10% in production with the existing technology and farming principles. I have all the technical information I need at the end of a phone. I can and do ring my consultant, fertiliser rep, vet, neighbour and due to the size and openness of New Zealand science, at present if they do not know I can ring an expert in agronomy, nutrition, soils and receive the answer that I require. I hope that this openness remains as in a time of privatisation and cost cutting it is a true advantage. I feel that for myself the next leap in information is not in the growing of grass or production of milk but in the tools to collect, store and utilise that information. This being tied to a financial benefit to the farming business is the real reason that I farm. Think of the benefits of being able to read pasture cover on a motorbike instantly downloaded, overlaying cow intake with milk production, changes in cow weight, daily soil temperature and predicted nitrogen response. Telling me low producing cows and poor producing paddocks, any potential feed deficits or surpluses. This would be a powerful information tool to use. The majority of this information is already available but until the restraints of time and cost are removed from data gathering and storage, this will not happen.


2015 ◽  
Vol 77 ◽  
pp. 159-166
Author(s):  
T.O.R. Macdonald ◽  
J.S. Rowarth ◽  
F.G. Scrimgeour

The link between dairy farm systems and cost of environmental compliance is not always clear. A survey of Waikato dairy farmers was conducted to establish the real (non-modelled) cost of compliance with environmental regulation in the region. Quantitative and qualitative data were gathered to improve understanding of compliance costs and implementation issues for a range of Waikato farm systems. The average oneoff capital cost of compliance determined through a survey approach was $1.02 per kg milksolids, $1490 per hectare and $403 per cow. Costs experienced by Waikato farmers have exceeded average economic farm surplus for the region in the past 5 years. As regulation increases there are efficiencies to be gained through implementing farm infrastructure and farm management practice to best match farm system intensity. Keywords: Dairy, compliance, farm systems, nitrogen, Waikato


2020 ◽  
Vol 2020 (10) ◽  
pp. 19-33
Author(s):  
Nadiia NOVYTSKA ◽  
◽  
Inna KHLIEBNIKOVA ◽  

The market of tobacco products in Ukraine is one of the most dynamic and competitive. It develops under the influence of certain factors that cause structural changes, therefore, the aim of the article is to conduct a comprehensive analysis of transformation processes in the market of tobacco and their alternatives in Ukraine and identify the factors that cause them. The high level of tax burden and the proliferation of alternative products with a potentially lower risk to human health, including heating tobacco products and e-cigarettes, are key factors in the market’s transformation process. Their presence leads to an increase in illicit turnover of tobacco products, which accounts for 6.37% of the market, and the gradual replacement of cigarettes with alternative products, which account for 12.95%. The presence on the market of products that are not taxed or taxed at lower rates is one of the reasons for the reduction of excise duty revenues. According to the results of 2019, the planned indicators of revenues were not met by 23.5%. Other reasons for non-fulfillment of excise duty revenues include: declining dynamics of the tobacco products market; reduction in the number of smokers; reorientation of «cheap whites» cigarette flows from Ukraine to neighboring countries; tax avoidance. Prospects for further research are identified, namely the need to develop measures for state regulation and optimization of excise duty taxation of tobacco products and their alternatives, taking into account the risks to public health and increasing demand of illegal products.


2019 ◽  
Vol 1 (1) ◽  
pp. 31-39
Author(s):  
Ilham Safitra Damanik ◽  
Sundari Retno Andani ◽  
Dedi Sehendro

Milk is an important intake to meet nutritional needs. Both consumed by children, and adults. Indonesia has many producers of fresh milk, but it is not sufficient for national milk needs. Data mining is a science in the field of computers that is widely used in research. one of the data mining techniques is Clustering. Clustering is a method by grouping data. The Clustering method will be more optimal if you use a lot of data. Data to be used are provincial data in Indonesia from 2000 to 2017 obtained from the Central Statistics Agency. The results of this study are in Clusters based on 2 milk-producing groups, namely high-dairy producers and low-milk producing regions. From 27 data on fresh milk production in Indonesia, two high-level provinces can be obtained, namely: West Java and East Java. And 25 others were added in 7 provinces which did not follow the calculation of the K-Means Clustering Algorithm, including in the low level cluster.


2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Marceline F. Finda ◽  
Fredros O. Okumu ◽  
Elihaika Minja ◽  
Rukiyah Njalambaha ◽  
Winfrida Mponzi ◽  
...  

Abstract Background Different forms of mosquito modifications are being considered as potential high-impact and low-cost tools for future malaria control in Africa. Although still under evaluation, the eventual success of these technologies will require high-level public acceptance. Understanding prevailing community perceptions of mosquito modification is, therefore, crucial for effective design and implementation of these interventions. This study investigated community perceptions regarding genetically-modified mosquitoes (GMMs) and their potential for malaria control in Tanzanian villages where no research or campaign for such technologies has yet been undertaken. Methods A mixed-methods design was used, involving: (i) focus group discussions (FGD) with community leaders to get insights on how they frame and would respond to GMMs, and (ii) structured questionnaires administered to 490 community members to assess awareness, perceptions and support for GMMs for malaria control. Descriptive statistics were used to summarize the findings and thematic content analysis was used to identify key concepts and interpret the findings. Results Nearly all survey respondents were unaware of mosquito modification technologies for malaria control (94.3%), and reported no knowledge of their specific characteristics (97.3%). However, community leaders participating in FGDs offered a set of distinctive interpretive frames to conceptualize interventions relying on GMMs for malaria control. The participants commonly referenced their experiences of cross-breeding for selecting preferred traits in domestic plants and animals. Preferred GMMs attributes included the expected reductions in insecticide use and human labour. Population suppression approaches, requiring as few releases as possible, were favoured. Common concerns included whether the GMMs would look or behave differently than wild mosquitoes, and how the technology would be integrated into current malaria control policies. The participants emphasised the importance and the challenge of educating and engaging communities during the technology development. Conclusions Understanding how communities perceive and interpret novel technologies is crucial to the design and effective implementation of new vector control programmes. This study offers vital clues on how communities with no prior experience of modified mosquitoes might conceptualize or respond to such technologies when deployed in the context of malaria control programmes. Drawing upon existing interpretive frames and locally-resonant analogies when deploying such technologies may provide a basis for more durable public support in the future.


2016 ◽  
Author(s):  
Iain Lunney

ABSTRACT In a cost-sensitive market driven by depressed commodity prices, significant capital challenges exist for operators interested in pursuing exploration activities in remote environments to define their producible reserves. This paper explores the organizational and operational model developed by a service company over several remote area mobilizations; this model resulted in an optimized low-cost service delivery model characterized by top quartile operational key performance indicators (KPIs). The model centralizes critical functions of an operational organization into discrete service units that are located near the operational location or that provide remote assistance with communication and reporting lines in place to function effectively. Top quartile operational performance and tool availability is a result of placing a remote repair and maintenance facility that includes containerized specialty modules near the operational area. The upfront bottomhole assembly engineering, 24/7 monitoring, and proactive feedback of logged data, drillstring dynamics, and wellbore hydraulics are performed by a core team of subject matter experts in their respective disciplines from an established centralized operating center. The operational KPIs over the course of the six well exploration campaign provided substantial evidence to support the reliability of the model and the high level of experience used in both the remote maintenance facility and the operations center support team.


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