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Efficiency analysis of dairy farms in the Northern Great Plain region using deterministic and stochastic DEA models
113-122Views:141Running any dairy enterprise is a risky activity: the profitability of the enterprise is affected by the price fluctuation of feed and animal health products from inputs, as well as by the fluctuation of end-product prices. Under these circumstances, it is essential for the cattle breeders, in order to survive, to harness the reserves in management as effectively as possible. In this research the efficiency and risk of 32 sample dairy farms were analysed in the Northern Great Plain Region from the Farm Accountancy Data Network (FADN) by applying classical Data Envelopment Analysis (DEA) and stochastic DEA models. The choice of this method is justified by the fact that there was not such an available reliable database by which production functions could have been defined, and DEA makes possible to manage simultaneously some inputs and outputs, i.e. complex decision problems. By using DEA, the sources that cause shortfall on inefficient farms can be identified, analysed and quantified, so corporate decision support can be reinforced successfully. A disadvantage of the classical DEA model is that the stochastic factors of farming cannot be treated either on the side of inputs or outputs; therefore, their results can be adopted with reservations, especially in agricultural models. This may have been because we could not discover that many agricultural applications. Considering the price of inputs and outputs as probability variables, 5000 simulation runs have been done in this research. As a result, it can be stated that at which intervals of the input and output factors can become competitive and the fluctuation of these factors can cause what level of risk at each farm.
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An Agro-Food Waste Commercial Utilisation Behaviour Lens among Urban Agro-producer Households in a Developing Economy
Views:161Small-urban farm businesses utilise agro-food waste emanating from own production and other levels of food supply chain activities to supplement conventional inputs. Out of these, the food produce surplus from agro-producer households is offloaded to the urban market. As such, the aim of the study was to assess the determinants of agro-food waste commercial utilisation behaviour among urban agro-producer households. An electronically-designed research tool was administered to 456 agro-producer households to collect self-reported estimates of their agro-food waste utilisation behaviour. Results indicated higher budget share towards conventional inputs (0.73) compared to agro-food waste (0.27) but the observed suboptimal production intensification could be rectified with increased use of agro-food waste. Structural equation modelling results indicated that attitude, environmental awareness and concern, motivation and perceived moral obligation had positive significant influence on commercial utilisation intention. The adopted constructs for the model could explain 79.1% of the commercial utilisation behaviour variance. Furthermore, commercial utilisation intention, risk perceptions and perceived behavioural control had significant influence on the commercial utilisation behaviour. Findings are an indicator that agro-food waste commercial utilisation intentions among small-urban farm businesses would likely transition to commercial utilisation behaviour. Since behaviour can be learnt and developed, aspects that contribute to commercial utilisation intentions and behaviour would need to be stimulated. As a strategy of reducing the collectible waste, urban authorities may introduce tailor-made programs meant to stimulate commercial utilisation intention and behaviour in small-urban farm businesses. In valuation of agro-food waste, methodologies that could factor in utility would provide more precise insights in its commercial utilisation.
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Potential impact of the European Green Agreement on EU and Hungarian crop production
Views:239European arable farming, including Hungarian arable farming, faces a huge dilemma: how to contribute to and maintain the global food supply while reducing greenhouse gas emissions while main taining biodiversity, but reducing inputs that are potentially damaging to society and the environment while ensuring that no more land is taken out of production? Not to mention that the increasingly urgent need to tackle climate change is also placing additional demands on EU agricultural decision-makers. Under the European Green Deal (GD), the 'From Farm to Fork' (F2F) strategy will help achieve climate neutrality by 2050, with a target of a 55% reduction in greenhouse gas emissions by 2030. Achieving this will require significant changes in food production, a shift in crop health strategies and accelerated innovation in the agricultural sector. The study addresses these issues. Our first hypothesis (A1) is that the GD and F2F strategies can be implemented without problems and without losses. Our second assumption (A2) is that the know-how solutions and the technological conditions for precision agriculture that are already available exist, and that all of these already justify the feasibility of A1. In order to prove this, we have reviewed recent and up-to-date literature on DG and F2F. For A1, we found that there are pro and con findings in the literature. However, the summary finding is not positive. The conclusion of the studies, based on data calculations, is that EU agriculture faces huge additional costs if it is to maintain production and reduce environmental pressures. Their calculations suggest that more people will be disadvantaged by the decisions, and that millions of euros could be lost to the public. However, the article also shows that there are many cases where positive results can be achieved even with reduced chemical use. Facts and figures from international and Hungarian technological and know-how solutions and their trials at plant level show that the DG's objectives are already partially achievable. It has been established that the systematic use of precision technologies allows to increase the natural and at the same time the economic efficiency. In our work we have used the results of primary and recent secondary research. We have shown the downsides of GD, but also that with targeted support, the objectives of sustainability and GD can be approached. Changes in 2022, drastic price increases for inputs including fertilizers and pesticides, inflation at a 20-year high, energy prices spiraling out of control, and an almost unprecedented drought affecting crop production and horticulture, point to the need for a radical change in technology, thinking and regulation. And all this to ensure that there is enough affordable food in Hungary, that there are export products within and outside the Community, and that those working in agriculture have a decent living.
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The analysis of agro-economic effects of household food wastage through the example of bread
9-18Views:234In our busy world, where numerous people starve and where the resources are restricted, it is a key issue to pay particular attention to the topic of prevention and decrease of food loss as well as food wastage.Wastage of food produced and delivered to the end user (customer) is an issue arising globally and nationally as well, which results in efficiency loss at economic level in any case. While the FAO study mentions food waste of the order of 1.3 billion tonnes on a world scale, then the annual quantity of food waste in Hungary is estimated at about 1.8 million tonnes, which contains the waste of every member of the chain from production to consumption. On the basis of the data published by the Hungarian Food Bank (2015), the amount of food waste caused by the population is 400 000 tonnes. In compliance with our objectives, inputs – expressed by non-financial and financial indicators – emerge during production are assigned to the quantity of wasted food. Applying the aforementioned method we would like to make customers realize how many resources (land, water, artificial fertilizer, pesticide, seed and gasoil) are utilized needlessly in food verticum by the end products – at present by different breads they throw out. As our calculations prove by 10% waste of breads the utilization of 5 300 hectares of wheat land and 660 hectares of rye land can be considered unnecessary. By 10% waste of breads the financial value of the utilized resources is altogether 3.25 million EUR. Out of this the financial value of utilized artificial fertilizer is 1.10 million EUR (34%), of utilized pesticide is 1.15 million EUR (35%), of utilized gasoil is 0.70 million EUR (22%) and of utilized seed is 0.30 million EUR (9%). Among different breads, white bread is purchased in the greatest volume by the Hungarian households, from which 121 900 tonnes are bought annually on an average. This quantity is equal to almost the 40% of the annual bread sell. If 10% of purchased white bread is thrown out, it results in useless utilization of 2 676 hectares of wheat land in food verticum. The quantity of utilized water arising form wastage is 15.8 million m3. Further losses emerge as regards material inputs: artificial fertilizer- to the value of 0.50 million EUR, pesticide- to the value of 0.58 million EUR, seed to the value of 0.15 million EUR and gasoil-loss to the value of circa 0.35 million EUR. Totally, material input to the value of 1.58 million EUR is owing to the Hungarian households in case of 10% white bread wastage.
JEL code: Q53
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Examination of pig farm technology by computer simulation
25-29Views:162Agricultural production is among the riskiest production activities. Similarly to other branches of agriculture in animal breeding the finished product is the result of complex procedures. The biological technological procedure, the creation of the product is affected by an outstanding number of environmental factors which also cause uncertainties. In the North Great Plain Region of Hungary, sows, gilts and slaughter pigs are produced on a corporate farm. The reliable operation data of this company provide a stable basis for and estimating future costs and revenue and their distributions. Monte Carlo methods are one of the generally accepted tools for modeling risks. The significant independent variables, their ranges and probability distributions, and the correlation between them were inputs to the model. The values of the variables were produced using a random number generator. The computer simulation was performed using @Ris (PalisadeCorporation) software. The study concentrates on the factors affecting the number of off spring (piglets). Model inputs were the mating, mortality and farrowing rates; the costs and the income values based on these rates have been analysed as the output data of the model.
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Exploitation of relations among the players of the mutton product cycle
129-134Views:181The continuous weakening of Hungarian sheep sector and its low effectiveness in terms of value added have posed crucial problems in recent years.The focal problem has been partially caused by economic and market problems.Among these issues, mostly the poor mutton supply chain gives rise to difficulties; therefore the present study seeks to reveal the factors/input variables which predominantly influence the generation of value added. We have constructed a model for the mutton product cycle to represent the relations of phases but mutton trade is not included.The most significant aim of our investigation was to identify the volume of value added generated during processing in various phases of the product cycle and the change of which inputs affected this volume. The received findings suggested that in case of capital uniformity the output of processing was mostly influenced by sheep progeny on the bottom level of the mutton product cycle.
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Investment analysis of a piglet producer farm – a Hungarian case study
141-152Views:282The pig population in Hungary was about 8 million in 1990, while this number dropped to only 2.8 million by 2018. The previously so successful integrated domestic pig farming has almost completely disappeared and most of the smaller farms still operating in the 1990s are no longer functioning. At present, a process of concentration can be observed, which was accompanied by the further specialization of pig farming. The main profile of most pig farms is fattening, but there is a smaller number of farms in Hungary today specialized for piglet production, the successful operation of which requires significantly more expertise and more complex technology.
The main aim of this study is to present the production and economic indicators of a pig farm specialized in piglet production in Hungary as a result of a greenfield investment in the current economic environment, on a case study basis. For this purpose, an economic simulation was prepared based on primary data collection, operating on a deterministic basis, modelling the production and economic processes of the farm. The performed calculation does not derive the economic indicators of the activity from accounting records, but assigns the prices of natural inputs used on the basis of technological data. Primary data and information collection (e.g. technological data, input and output prices, unit cost items, etc.) took place between 2018-2019.
At the purchase prices of pigs in the last two years, which have increased significantly due to the African Swine Fever (ASF), the majority of pig farms in Hungary have an outstanding profit-making capacity. The physical efficiency indicators of the analysed pig farm are almost identical to the average data of such farms in the Netherlands, which has one of the most developed pig industry. The income of the examined pig farm at farm level is about 734 thousand EUR, i.e. 232 EUR per sow. Moreover, this activity is profitable even without subsidies. As a result, the greenfield investment pays off in the 8th year by default (average scenario). The investment has a Net Present Value (NPVr=3%) of EUR 2,609 thousand for 10 years, an Internal Rate of Return of 8.5%, and a Profitability Index (PIr=3%) of 1.3. At the same time, risk factors such as sales prices, output and capacity utilization, and feed costs should be taken into consideration as in extreme cases the return on investment may be unfavourable (pessimistic scenario).
JEL code: D24, M11, Q12
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Economic results of Croatian farms
53-58Views:145The objective of the paper is to provide an overview of the situation and performance of Croatian farms. Croatian farmers rarely keep business books and therefore farm level business data are deficient. Croatian accession to the European Union in 2013 brought numerous innovations to agricultural sector. One is introduction of Farm Accountancy Data Network (FADN) which aims to determine the impact of the Common Agricultural Policy on national agriculture of EU member states. The sample of Croatian FADN comprises 1,250 commercial farms. The paper brings results of agricultural sector financial analysis for the period 2011-2013. Total farm output decreased, but since the stronger decrease trend occurred in total inputs, this led to positive trend of gross and net farm income in the year 2013. Positive results are also shown at efficiency and productivity of Croatian farms. In the years 2011 and 2012 farms operated below the efficiency level while in 2013 efficiency increased above the efficiency level. In the observed period there was a 70% increase in productivity. The analysis shows that the most efficient farms are those in vegetables and flowers type. It also has the highest debt ratio due to their capital intensiveness. The vegetable and floriculture farms have the largest gross farm income in all three analysed years, but with a large drop in 2013, while the farms in type pigs and poultry have largest increase of gross farm income in last observed year.
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Dutch, Hungarian and German dairy farms technical efficiency comparison
121-128Views:219The abolishment of the dairy quota system in the EU is expected to increase competition across dairy farms in Europe. Assuming a common price for milk in the EU, only the most efficient farms will survive in the new environment. The main objective of the paper is to compare dairy farms in Germany, The Netherlands and Hungary about their technical efficiency. In the first part of the research, the efficiency is measured by partial efficiency indexes using one dimensional efficiency measuring. In the second part, the Data Envelopment Analysis (DEA) have to be used to measure efficiency in a multidimensional space, using six inputs and two outputs. It appears from the results that the highest efficiency farms are in the Netherlands, and then Germany and Hungary follow. If we want to eliminate the low sample size effect, we can assume a common frontier, which decreases the efficiency scores a bit, and makes the Hungarian results more reliable. With respect the abolishment of the dairy quota system, our results suggest that the Dutch farms are the most efficient, thus probably they will increase their production after the quota system. But because the size of the country we cannot expect dramatic changes in the European Dairy market. The Germans farms efficiency is lower, but their efficiency is also lower, so we won’t expect high increase about the dairy supply. The Hungarian dairy sector is not so efficient like the Dutch, and the size of the sector has also small among the European countries, thus if they want to survive the quota system demolishing, they have to increase their technical efficiency.
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The Position Losing of Animal Husbandry in Agriculture
63-66Views:85The author in the presentation deals with the fact that what caused the decline of animal husbandry in contrast with plant production; how this unfavourable ratio of 60:40 could evolve when comparing plant production and animal husbandry What the reason is for the decreasing animal stock; and how the effect of changes in the elements of the economic efficiency such as yields, prices, subsidies, production value, inputs, costs, profits can be evaluated in case of more important animal husbandry enterprises highlighting several significant animal products.
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Organic food sourcing, processing and distribution: a case of satisfying a growing market
5-10Views:299A case study of an organic food company in the Slovak Republic involved in producing and sourcing inputs, food processing and distribution is presented. The case is based on a June 2014 “live” case study prepared for students in International MBA in Agribusiness programs at the Slovak University of Agriculture in Nitra, Warsaw University of Life Sciences and the National University of Life and Environmental Sciences of Ukraine, Kiev. The company was established in 2001 with the objective to bring organic food to health conscious consumers. The company grows organic spelt grain, wheat, rye, buckwheat, herbs and apples on its 156 ha and 400 ha of owned and rented farmland. The company further processes these crops into more than 40 finished products. Students are presented with company information and summaries of a company visit and discussions with management. Students perform PEST and SWOT analyses, identify a shortage of owned and leased land as a problem the company must address, conduct research and analysis, and recommend product specification contracts as a solution to the problem.
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Technical efficiency of dairy farms in rural Nigeria
Views:157The study assessed the technical efficiency of Nigerian dairy farms. Information on 73 dairy farms was obtained from the General Household Survey (GHS Panel) for the year 2018-2019 wave, and the method of analysis employed include descriptive statistics and Data Envelopment Analysis Model. The findings show that not all the farms sampled are technically efficient, which means they can still utilize their input resources more effectively. The average level of technical efficiency of sampled farms was 83%; this suggests from the technical point of view that there exist an opportunity for expansion of milk production and revenue using the same level of inputs at present and putting to use effectively available technologies by 17%. Furthermore, results also show that farms that practice grazing systems, those located in the northern part of Nigeria and small farm sizes, have higher T.E. overall.
JEL Classifications: Q12, Q1, R15
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Semi-subsistence farming situation and policy – the example of Hungary
143-148Views:108In Hungary small farms have played very important role since collectivization (1959-61). Up to radical changes small households have received strong support from coops in the field of providing inputs on one side and, marketing their products on the other. The latter was disrupted by radical reforms and small farms started struggling with survival under market conditions. Government took measures to provide a development path for those having a chance to become competitive after five years development. Three calls (2004, 205 and 2006) were released. In Hungary SSF from three regions were more interested in getting the grant as North Great Plain, South Transdanubia and South Great Plain. All three regions are agriculture dominated ones. The policy with the call has reached a very moderate number of SSFs and, on the other side small farms, either because not meeting the criteria of the call or not wanted to take the additional costs of being registered and monitored for such a small amount of support decided not to apply. The paper ends with policy lessons.
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Using DEA to evaluate efficiency of higher education
79-82Views:567The aim of the higher education reform process both in Hungary and in the European countries is establishing a competitive, qualitative higher education with efficiently operating institutions. The question of efficiency needs increased attention not only because of the decline of the state support but also the rapid raise of the student mass. In the educationsystemit’snot easy to measurethe output of the services.The situation is more complicated if an organisation or a sector has multiple inputs and outputs. In this case a possible method of determining efficiency is Data Envelopment Analysis. In my paper I’d like to introduce this method and use it to compare the efficiency of higher education systems. urthermore I am examining whether their efficiency is influenced by the extent of the contribution of the state and the private sector or socio-economic factors like GDP per capita and education level of parents.
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The effect of working capital on profitability of poultry egg enterprise in Osun State, Nigeria
Views:125This study investigated the effect of working capital on the profitability of poultry egg enterprise. Primary data were collected from 180 poultry egg farmers using two-stage sampling technique. Data were collected on the socio-economic characteristics such as age, gender, educational qualification, farming experience and flock size owned, quantities of inputs and outputs. Descriptive statistics, farm budgetary technique and ordinary least square model were used to analyze the data collected. The results from descriptive statistics show mean values of 42 years, 9 years and 5 persons for age, years of experience and household size, respectively. Majority of poultry egg farmers (52.2%) used their personal savings to fund their businesses while, some had access to loan from co-operative societies (37.2%), from SEAP microfinance (6.7%) and from banks (3.9%). Poultry egg producers invested their working capital on feeds (64.8%), rearing of poultry birds from day old chicks to point of lay (14.8%), account receivables (13.6%), drugs & vaccines (2.4%) and variable overheads (4.4%). A total cost of ₦5,494,927.04k was incurred by the poultry egg producers. Cost of feed accounted for 71.89% of the total cost of production. A total revenue of ₦9,388,555.60k and the net returns of ₦3,893,628.56k were realized. The net farm income per bird from the enterprise was ₦1,698.05k while the gross margin per bird was ₦1,795.32. The ordinary least squares regression estimates revealed that inventory, account receivable, operating cycle and flock size have significant effect on the profitability of poultry egg enterprises. The study concluded that poultry egg enterprise is profitable and working capital has a significant effect on the profitability of poultry egg enterprise. In light of the findings, the study recommended the expansion of the poultry flock size as well as reduction in the number of days of inventories, account receivables and operating cycle in order to increase the profitability of poultry egg enterprise.
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Analysis of the influential factors on gross value added in the Hungarian sheep sector
107-112Views:143The competitiveness of the Hungarian sheep sector has been in steady decline for some time now. Crucial has been the problem that the value added in the sector is not generated in Hungary, as most of the produced lambs in Hungary leave the country with an average weight of 21 kilograms, with slaughtering happening abroad.A model has been constructed for our investigations, which introduces the connections between the product cycle phases for mutton in Hungary. This model allows us to calculate the volume of gross value added generated within specific product cycle phases. We used Monte Carlo simulation for our examination, for which the Crystall ball software package was utilized, namely the OptQuest module, for optimization. First, we conducted an optimization of an experiment number of 500,000 for “Gross value added” in the case of the slaughterhouse. During the optimization, Easter, Christmas and August lamb ratio and ewe number, as well as progeny, were set as decision variables and examined as values of gross value added, the decision variables of which contribute to obtaining the best results. The gained decision variables were set in the model and a Monte Carlo simulation was run with an experiment number of 500,000, where only the values of the conditions were changed along the pre-set dispersion; the values of the decision variables were fixed. The most significant aim of our investigation was to identify the volume of gross value added generated during processing in various phases of the product chain and the change of which inputs affected this volume the most. The findings proved that, in the case of capital uniformity, the output of processing was most influenced by sheep progeny on the bottom level of the mutton product chain. This factor is followed by that of weight gain in the source material producing and fattening sub-modules, as well as the gross wage in starter lamb feed and meadow hay in the source material producing sub-modules. Contour plots helped to describe the connections between these factors. By using contour plots, the volume of gross value added might be forecast for various combinations of factors.
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An ICT-based traceability system in compound feed industry
59-64Views:199The term traceability refers to recording of flow of products along the food chain from production to consumption with inclusion of all intermediate applications involved in processing/packaging stages. The aim for establishing traceability in the food chain is to provide the timely identification and recall of batches of product from the market when a risk threatens the health of consumers. Since compound feed products are basic inputs in livestock and poultry production, ICT-based feed traceability systems can be considered as a initial step in food traceability management. These systems are simply information recording systems that are designed to trace and track the flow and characteristics of animal feed along the feed supply chain. This paper describes the architecture and some functional properties of a feed traceability system called as the “feed TRace”, focusing particularly on compound feed and integrated poultry meat industries. The feedTRace aims to improve compound feed supply chain management, to increase feed safety and quality control, and to gain marketing competencies with traceable products in compound feed industry. The system is currently under beta stage, and is tested in two high capacity feed milling plants and an integrated broiler company located inAdana province of Turkey.
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Effect of Training on Small-Scale Rice Production in Northern Ghana
13-20Views:168Training in modern farming methods enables farm households in developing countries to improve agricultural productivity. Notwithstanding the efforts of governmental and non-governmental organisations to provide farmers with agricultural training, productivity remains low. The existing literature provides little empirical evidence of the effect of training on agricultural productivity in Ghana. This study therefore seeks to bridge this gap by investigating small scale rice farmers’ participation in agricultural training programmes and its effect on productivity in northern Ghana. A treatment effect model was used to account for sample selection bias. The results indicated that participation in training increased with the number of extension visits, group membership, access to credit and the degree of specialisation in rice production. Furthermore, total output and labour productivity both increased with participation in training but the relationship with land productivity (yield) was insignificant. On average, participation in training was associated with 797kg increase in rice output, while labour productivity increased by 7.3kg/man-day. With the exception of farm capital, all the production inputs had a positively significant relationship with output suggesting sub-optimal use of capital in production. The study concludes that farmers’ training needs are not adequately being met while inadequate capital is constraining farm output. Increasing access to extension service and involving farmer-based organisations in the design and implementation of training programmes will enhance participation and farm performance.
JEL Classification: C21, D24, Q12
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A Value chain analysis of Sesame (Sesame Indicum L.) in South Omo Zone, Southern Ethiopia
Views:242Sesame is the main cash crop in Ethiopia and it is mainly produced in northern and southern part of the country especially South Omo Zone. In the zone sesame is highly produced, but it production is not known regionally and at a country level. So this study was aimed to research sesame value chain of the Zone. Simple descriptive statistics and value chain approach were employed for data analysis during this study. It attempts to deal with mapping and identifying sesame value chain actors and their roles, examines marketing channel, cost margin structure and assessing challenges and opportunities within the study area. The results of the study indicated that out 5589.3 quintals were supplied to markets for various actors and five alternative marketing channels were identified to transact the sesame product through intermediaries. The most important volume of sesame (4900.8 quintals) was marketed through channel V and the lowest volume in channel I. producers get the highest share in channel IV and the lowest in channel II. Barriers to entry traders into the market are that the capital requirement and therefore the wholesalers govern by volume transacted and internal control criteria within the market. Fertile land and high demand for the product were essential opportunity. Pests and disease, Low level of input utilization, Shortage of input supply and high price of inputs were the challenges of sesame production whereas lack of market information, price variability, delay of buyers, low bargaining power and poor product quality were the challenges sesame marketing.
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Dairy farms efficiency analysis before the quota system abolishment
147-157Views:210The abolishment of the dairy quota system in the EU is expected to increase competition across dairy farms in Europe. Assuming a common price for milk in the EU, only the most efficient farms will survive in the new environment. The main objective of the research is to compare dairy farms in Germany, The Netherlands and Hungary about their technical efficiency. In the first part of the research, the efficiency is measured by partial efficiency indexes using one dimensional efficiency measuring. In the second part, the Stochastic Frontier Analysis (SFA) have to be used to measure efficiency in a multidimensional space, using six inputs and two outputs. It appears from the results that the highest efficiency farms are in the Netherlands, and then Germany and Hungary follow thus, we get that the most efficient farms are in the Netherlands with 84% efficient. The German farms are 76% efficient. The Hungarian farms are 68% efficient. With respect the abolishment of the dairy quota system, our results suggest that the Dutch farms are the most efficient, thus probably they will increase their production after the quota system. But because the size of the country we cannot expect dramatic changes in the European Dairy market. The Germans farms efficiency is lower, but their efficiency is also lower, so we won’t expect high increase about the dairy supply. The Hungarian dairy sector is not so efficient like the Dutch, and the size of the sector has also small among the European countries, thus if they want to survive the quota system demolishing, they have to increase their technical efficiency.
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Renewable energy resources in Hungary – solid biomass utilization in terms of necessity and opportunity
75-78Views:155In the 21st century a country’s success significantly depends on how it can solve the problems (supply safety, growing prices, climate change, etc.) induced by the application structure of the fossil energy sources with the means of energy saving, energy efficiency and the utilization of renewable energy resources. The utilization of renewable energy sources has positive effects on five key areas: environment protection, energy policies, fulfilment of EU expectations, agriculture and rural development and on the whole of the national economy. The bioenergy – beside fulfilling the national economic aims – it is putting up the value of the role of agriculture and rural development. The role of agriculture is multi-functional in the process. The agricultural sector has an important task in the area of bioenergy to ensure the proper quality and quantity of raw materials for the increase of bioenergy utilization. This also means new sales perspectives and opportunities for the producers. Above all this, the agricultural policy aims for the agriculture and the rural development segment to be the unambiguous winner of the new bioenergy sector and for most of the available profit to stay with the agricultural sector, with the rural players. For this reason encouraging the raw material production it wishes to encourage the producer their primary process and their local utilization. One of the fundamental objectives of the measures is that agriculture should go beyond the raw material production and take steps towards processing and utilization. The multifunctional role in the product chain might mean extra income and more added value for the producers and the active players in the process. The other objective is to promote the local utilization, the scatter of the environmentally friendly energy sources in rural areas, to change the energy is “lying on the ground unutilized” principle while local processing and promoting the utilization, to achieve a lower energy dependency and to optimize and disseminate cost efficient solutions. To realize all this means a great task and a huge challenge for the agricultural government as well as the rural societies and micro regions but might lead to a successful rural development. The range of the tools and measures to fulfil the aims might be very broad, from the regulating instruments to the various subsidies, coordination and dissemination tools. Part of the subsidy schemes are direct production-type of subsidies (the so called direct payments, for example the area based subsidies) and the other main forms are the investment-type subsidies which are for technology development, promotion of competitive production and local processing and for establishing a green energy industry. In the period of 2007-2013 the key elements of the development schemes were drafted in the frame of the New Hungary Rural Development Programme (ÚMVP) and the Environmental Energy Operational Program (KEOP). The available raw materials and the conditions are taken into consideration while designing the development schemes because a successful realization of a product chain means the assurance of the inputs and outputs. The starting point of determining the development direction is the principle of an operation which is sustainable and economical on the long run. In addition such developments are considered reasonable which are viable on medium and long term and bring numerous rural development, environmental and societal returns.
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Optimal crop plan of cooperative farmers in Osun state, Nigeria: a linear programming approach
Views:247Optimal level of production requires better use of existing resources at the lowest possible cost. Despite the inherent advantage of cooperatives to the agricultural sector, the question of how farmers under cooperative umbrella use farm resource for optimal outcome remains unanswered. This study investigates optimal crop mix for cooperative farmers in rural communities in Southwest Nigeria. Primary data were collected for the study through structured questionnaire. The data were fitted to Linear Programming Model. Three different cropping patterns are identified among the cooperative farmers. Based on the results from linear programming model, only maize, cassava and yam are admitted in the final plan and this combination is to be produced at 2.23 hectares. The gross margin value associated with the plan is ₦156, 235.781 (1$ = N365). Input resources such as land, labour, fertilizer, and chemicals are not fully utilized. The slack values for these inputs are 0.31, 651.20, 1929.6 and 140.76 respectively. The sensitivity analysis shows that seed/seedling is the only binding resource in the final plan with a shadow price which suggests that proper allocation of seed and seedlings would improve returns to cooperative farmers. There is need for appropriate farm management strategies to ensure optimal return for farmers. More education and training is suggested to boost cooperative farmers understanding of optimum strategy that is needed to improve production and earnings.
JEL code: Q10, Q13
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Cross-sector analysis of the Hungarian sectors covered by the Effort Sharing Decision – Climate policy perspectives for the Hungarian agriculture within the 2021-2030 EU programming period
17-24Views:185Ever since 2012, the EU ETS (European Union’s Emission Trading Scheme), which is the EU’s climate policy was extended to include the ESD (Effort Sharing Decision) sectors’ (agriculture, transport, building) regulations. As its name implies, this mechanism is based off of shared interests and efforts, all in order to reach the climate goals. Therefore, analysing the agriculture sector from an environmental viewpoint requires the analysis of related sectors as well, since their performances will have an impact on determining the requirements to be met by the agriculture. Seeing that those primarily present in said sectors are not various firms, but people and public utility management institutions instead, the level of regulations draws from the economic state of the various countries in question (GDP per capita). Therefore, member states like ours did not receive difficult goals until 2020, due to our performance being lower than the average of the EU. However, during the program phase between 2021 and 2030, all nations are to lower their GHG (greenhouse gases) emission, and have to make developments to restrict GHG emission level growth within the ESD, which means we already have to estimate our future possibilities. During the analyses, we will see that analysing agriculture from an environmental viewpoint, without doing the same to their related sectors and their various related influences is impossible. The GHG emission goals determined by the EU have to be cleared by the agriculture sector, but the inputs from transport, waste management and building are required nonetheless.
JEL classification: Q58
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POSITIVE EFFECTS OF CULTIVATION TECHNOLOGIES BASED ON GEOREFERENCED DATA ON THE ECONOMIC SUSTAINABILITY OF WINTER WHEAT PRODUCTION
Views:60Elements of precision farming, such as auto-steer navigation, section control and variable rate application, can have a positive impact on farming performance, yet the uptake of these technologies has been slow and farmers are not convinced that they can achieve ad- ditional benefits by switching to them. Therefore, the authors considered it important to examine the impact of precision farming on winter wheat yields based on data from Hungarian farms. Yield data from farms with a yield map in the MyJohnDeere database from 2018-2022 and yield and cost data from 48 farms with Variable Rate Application (VRA) from 2018-2022 were evaluated and compared to the national average. MyJohnDeere and VRA farms had significantly higher yields in all years. Despite the cost saving from the introduction of precision farming, such as non-overlapping input application, the total costs of the examined VRA farms were higher, which can be explained by more intensive production beyond precision farming. It can also be argued that the additional inputs of the VRA farms were outweighed by the additional production value, with their specific incomes being higher than the national average in all years. In conclusion, the profitability of winter wheat production - and thus its resilience to a changing economic environment - can be increased at farm scale by adapting preci- sion farming. Technological change by farmers, in particular the widespread adoption of variable rate application, could also increase the sustainability of winter wheat production at the farm scale.
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