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Management issues of cropping with sorghum in the production structure - a case study of Hungary
Views:232One of the goals of the developments is to improve the efficiency of the activity by making the currently used traditional production structure more flexible and by making the necessary changes to the technology in the case of farmers with large agricultural land, having necessary machinery and equipments required. Farms with larger arables land are able to offset the effects of changes affecting efficacy and profitability. The main sector of Hungarian agriculture is crop production, so performance is largely determined by the annual output of the crop production sector and the price development of crop products. In the course of our analytical work, we defined a farm of 2100 hectares, for which we examined crop production, crop machinery and economic aspects. From the enterprise data, farm level results compiled according to the crop structure were calculated. Sorghum is suitable for replacing corn in the crop rotation in areas with unfavorable conditions, so a stably growing crop can be added to the crop rotation of autumn ears of corn, rape, and sunflower, instead of corn. It does not hinder the machinery modernization efforts either, since the precision tools and developments already started in corn production can be used well, and it does not require a special equipment park. At the same time, in light of the increasingly frequent negative climatic effects, sorghum’s integration into the plant production structure is encouraging, because we have to count on 3-4 drought years in a decade. Based on our analysis, the inclusion of sorghum in the crop structure does not significantly reduce the available income, which is acceptable in the given economic environment. However, its stability can significantly contribute to improving the resilience of farming, especially in comparison with corn.
JEL Code: Q12
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The economic situation of Hungarian crop production enterprises, especially in Hajdú-Bihar county
Views:221Increasing the competitiveness of Hungarian crop production plays a key role in moving forward at the international level. However, improving efficiency and profitability is essential in this regard. The natural resources in Hungary provide an excellent opportunity for crop production. About 8% of the arable land in Hungary (a total of 4.3 million hectares) belongs to farmers in Hajdú-Bihar County. This research is based on secondary data that can be found in the HCSO and EMIS databases. HCSO data was used for the comparison of national and county data characterising crop production, while the EMIS database was used to process the financial data of enterprises dealing with field crop production. The Hungarian sample size is 853, of which 69 enterprises are from Hajdú-Bihar County. The aim of this study is to assess the profitability, assets and financial situation of arable crop production enterprises operating in Hajdú-Bihar County as a function of national average data. Based on the examined profitability indicators (operating ROS and ROA), it was established that the enterprises in Hajdú-Bihar County are profitable, even in a national context. In terms of operating ROS, the farms in the examined county were able to achieve a 3.6 percentage point higher value due to their more efficient cost management, despite having a similar level of technology compared to businesses spanning across the entire country. The proportion of farms with the lowest leverage ratio (<20%) is 16 percentage points higher at the county level than at the national level. In addition, almost 70% of the enterprises operating in Hajdú-Bihar County have excellent liquidity. This rate is 50% at the national level.
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Some possibilities for risk analysis in the decision support of crop production
79-85Views:149This article has been made according to my dissertation in which I present some opportunity of risk analysis and risk management in the decision support of crop production. Plant production is one of the most hazardous agricultural enterprises. Among risk sources seasonal fluctuation of average yields plays an important role in the assessment of enterprises. Therefore, I analyzed the production risk of the produced crops in Hungary compared to the European Union’s, after that I took into consideration the production site’s circumstances as well. Decision-makers must possess such means, by which they can measure, oversee and manage the effects and consequences of risk. In crop production linear programming models can be used to determine the optimal crop structure, by which income-sensitivity can be taken into account, but it does not reflect the behavior to risk. This deficiency can be avoided by using risk programming models. By the complementary usage of linear programming and risk programming models the optimizing and adaptive planning can be executed. It often causes a problem for the producers to decide when and how much to sell to realize a maximum turnover. The decision is mostly influenced by the selling prices, but also important factors are the financial status of the business, the amount of credit and its conditions, the stock piling opportunities and costs, and the short-term investment opportunities as well. For the resolution of the problem I set up a dynamic, simultaneous financial model by which the system-conceptual analysis of the above mentioned factors and a sound decision-making can be executed.
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Analysis of household crop commercialization in Nigeria
Views:306Nigeria is experiencing a gradual shift from subsistence to commercialized agriculture, thereby increasing involvement and activities at different nodes of agribusiness. Participation of farmers in markets is an important determinant of well-being and development, and one of the pathways towards economic growth. This study analysed household crop commercialization in Nigeria. The secondary data used were the General Household Survey (GHS, 2018) Wave 4. Data were analysed using descriptive statistics, household crop commercialization index (HCCI) and ordered probit regression model.
Mean age of Nigerian farmers was 50.04 years (±15.22), majority (85.68%) were male, married (82.51%), and 72.14% had formal education. Farming is viable in all the geopolitical zones and majority (87.64%) of the farmers were from the rural sector, holding a mean total plot size of 12.61(±15.63) hectares, and planted 3 crops on the average. The most produced crop categories are cereals (46.75%), tubers (20.70%) and legumes (19.00%); legumes and cereals are highest in the North, and tubers in the South. Subsistence households were 32.81% (HCCI=0), only 1.71% of the households were fully commercial (HCCI=100), while semi-subsistence households (0≤HCCI≤100) constitute 65.48%. Years of education (p<0.05) and crop production in North East and North West zones (p<0.01) constrain commercialization, while at p<0.01, crop production in the rural sector and the South zones, and increased land holding are the drivers of household crop commercialization in Nigeria.
Nigerian farming households are mainly semi-subsistence and are diversified in crop production. Nigeria relies more on market participation of the semi-subsistence households, through their marketable surplus, to feed her teeming population and for exports. Further attention on rural infrastructure development in all geopolitical zones and awareness creation on producing market oriented products will increase agribusiness activities. This will generate green decent jobs that will take unemployed youths off the streets of urban centres. This is in tune with the economy diversification bid and the new Nigeria Economic Sustainability Plan of the Federal Government of Nigeria.
JEL CODE – Q13
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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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Economic aspects of an agricultural innovation – precision crop production
51-57Views:236Innovation in agriculture ensures the wide-spread use of the latest, up-to-date technology. Such new technology is precision farming in crop production, which serves as a validation of the criteria of environmental and economic sustainability. The economic applicability of precision crop production depends on several factors.Among them the following aspects must be emphasized: the size of the farm, the characteristics of the production structure, the current input-output prices and their tendencies, the investment needed for transitioning to precision technology and its capital source, the level of professional knowledge and the managerial attitudes of the farm. I have examined the economic relations between potential savings in chemicals on EU level. It has been found that after switching to precision farming, the active ingredient use for fertilizers can be reduced by 340 thousand tons at the same expected yield level in an optimistic scenario in the EU-27, while the savings in pesticide use can be 30 thousand tons (calculating with the current dose-level). If approximately 30% of the crop producing and mixed farms over 16 ESU adopt this new technology, this will diminish environmental loads by up to 10-35%. The majority of farms characterized by greater output and size can be based on their own equipment but it might as well be presumed that smaller farms can turn to precision farming not based on their own investment. They can buy the technical service from providers, they can establish producer cooperation, for example in the frame of machinery rings. At a certain farm size and farming intensity precision crop production is a real, environmentally friendly farming strategy, with the help of which the farm can reach earnings that cover at least the economic conditions of simple reproduction.
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OPERATING RESULTS OF SILAGE ENTERPRISE OF A FARM - A CASE STUDY
Views:147Improvements in agriculture has been focusing on innovations to improve the efficiency of the activity by making the traditional production structure currently in use more flexible and by making the necessary technological changes for farmers with large areas and the necessary machinery and equipment. Farms with significant arable land are able to offset the effects of changes affecting efficiency and profitability. The decisive sector of agriculture in Hungary is crop production, therefore its performance is largely determined by the annual output of the crop sector and the volatility in prices. From the farm data, we calculated farm-level results that support the need for machinery modernisation efforts, as precision tools and improvements already started in maize production can be applied fruitfully even in the light of the increasing frequency of negative climatic effects. During the development of silage maize cultivation technology, the achievements of precision farming were applied. Differentiated nutrient replenishment and sowing operations were used, in addition to the fact that harvesting was also documented. We set ourselves the goal of analyzing the management data of the study period between 2019-2022 in order to reveal the nature of the changes that occurred in terms of production value, production cost, and income, as well as the components that shape them. The presented values are average values of such conditions which are also suitable for crop-level conclusions. At the same time, they can be used to identify sector-level challenges and trends.
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Economic analysis of some agrotechnical factors in maize production - a Hungarian case study
5-16Views:450This paper focuses on the economic and statistical evaluation of the production technology findings of the polyfactorial maize production experiments carried out between 2015-2017 at the Látókép Experiment Site of the University of Debrecen, Faculty of Agricultural and Food Sciences and Environmental Management. The examined agrotechnical factors included irrigation, previous crop, tillage, crop density, hybrid and N nutrient supply, while the effect of different crop years was taken into consideration. In addition to descriptive statistical methods, we used multivariate regression analysis during the statistical evaluation. In the course of the evaluation, we examined three models that differed in terms of tillage methods and the consideration of crop year. In our best fit model, the factors were 71% responsible for the change in yield value. We carried out efficiency and comparative analyses in the course of the economic evaluation.
Averaged over the three examined years, it can be stated that nutrient supply and crop year had an outstanding effect on yield, while irrigation had a minimal effect. However, global warming may justify irrigation in the future, not only from a biological point of view, but also from an economic aspect.
Ideal tillage is also greatly affected by crop year, too. Altogether, of the examined tillage systems, subsoiling proved to be the best from an economic point of view.
Our investigations confirm that it is better to perform intensive farming under more favourable market conditions. The optimum of N fertilisation is probably outside of the range we examined, if the extreme changes in maize and fertiliser prices are ignored.JEL Classification: Q16, Q12, Q13, O32
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The use of models in optimizing the field crop production in agricultural enterprise - MBA thesis
93-96Views:189The full use of resource capacities of agricultural enterprises favorably affects the general increase in economic efficiency and rational production making them more competitive in the market. This creates the need for constant improvement of business strategies that uses all available resources to create the most profitable production. The main objective of this study was to find the ideal structure of production in agricultural enterprise and to enable the realization of maximum profit using the available production resources (land, mechanization, labor forces). As the basic method of planning, this study used the simplex method of linear programming which gives the most profitable sowing structure after detailed analysis of resources and achieved results, based on the limitations and gross margin. This work showed that the use of modern methods in production planning is one of the cheapest and safest methods for development of agricultural enterprises.
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Economic modelling and analysis of Hungarian wheat production in the marketing year 2011
63-67Views:172In the framework of the present study I analysed the wheat production sector. In order to evaluate the situation prevailing in the sector I conducted an economic analysis which I based on primary data collection. The year of investigation was the production year of 2011. Long-term implications for different crop sectors can only be based on multi-annual analysis, so in this article I only attempted to analyse the sector with respect to 2011. To evaluate wheat production I compiled its cost structure and assessed it. To evaluate its position in comparison to other crops I also carried out calculations to determine the gross margin (revenue minus variable cost)1 By gross margin I mean the gross margin (C), which is production value (PV) minus direct cost (DC), by definition (C=P-DC). of maize and rape. I observed that the gross margin attainable on one hectare was the lowest in the case of wheat. I applied two types of gross margin, because I consider it important that a given sector should also be profitable without subsidies. In the case of the gross margin including subsidies it is essential to emphasize the role of subsidies, since their ratio varied between 30 and 47% of the total revenue. The importance of subsidies was the most significant in the case of winter wheat.
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The use of models in optimizing the field crop production in agricultural enterprise
105-108Views:124The full use of resource capacities of agricultural enterprises favorably affects the general increase in economic efficiency and rational production making them more competitive in the market. This creates the need for constant improvement of business strategies that uses all available resources to create the most profitable production. The main objective of this study was to find the ideal structure of production in agricultural enterprise and to enable the realization of maximum profit using the available production resources (land, mechanization, labor forces). As the basic method of planning, this study used the simplex method of linear programming which gives the most profitable sowing structure after detailed analysis of resources and achieved results, based on the limitations and gross margin. This work showed that the use of modern methods in production planning is one of the cheapest and safest methods for development of agricultural enterprises.
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TREND ANALYSIS OF UGANDA’S COFFEE SECTOR
Views:392Coffee (Coffea arabica and C. canephora) is an important commercial crop globally, and the second most traded global commodity by developing nations after oil. Uganda is among the top 10 coffee exporters worldwide, and second in Africa. The total export amounted to 301,366 tons of “green” coffee in 2021, forming the second-largest commodity export, and contributing about 12.4% to Uganda’s total formal exports. However, the country’s overall performance over time remains unclear given the fluctuations in production and export prices. This study aimed to evaluate the production and export trends of Uganda’s coffee sector by: (i) defining the overall direction of coffee production and export value, (ii) assessing the market variability, and (iii) evaluating the global cross-cutting issues regarding coffee production and export. Data was extracted from FAOSTAT and Uganda Coffee Development Authority (UCDA) databases. Trends were analysed using the Mann-Kendall and Sen’s Slope test, while market variability was analyzed using the fixed base index (FBI) and coefficient of variation. VOSviewer software was used to analyze literature from the Web of Science database to highlight cross-cutting issues. Results indicated a significant positive increase in coffee production and export value (p = 0.0001, Slope = 1736.67 tons and p = 0.001, Slope = 4.44 million USD) respectively. Among the top ten coffee producers, Uganda presented the third worst unstable coffee export value with a 20.1% coefficient of variation. Fairtrade, climate change, and certification were the most outstanding global cross-cutting issues. Market stabilization mechanisms should be developed through value addition by establishing coffee processing and roasting plants, as well as strategic governance and policy support to counter emerging global challenges such as climate change.
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Urban Food Crop Farming and Farm Households’ Food Security Status in Oyo State, Nigeria
23-28Views:180Food production and supply has been on the decline in Nigeria with a consequent impact on household food security. This study examined the influence of urban farming on household food security in Oyo State, Nigeria. Multi-stage sampling procedure was used to select 159 farm households in a cross-sectional survey. Structured questionnaire was used to obtain data on socio-economic characteristics, determine the food security status of urban crop farming households in the study area, and examine the effects of urban crop production on households’ food security status. Data were analysed using descriptive statistics while the statistical tools were Food Security Index (FSI) and Probit Regression Model (PRM). Results revealed that 84.9% of the respondents was male, 81.2% married. The average age, household size, and farm size were 49.6 years, 6 persons, 1.1 hectares respectively. Most (75.5%) of the respondents did not have access to consumption credit and 62.3% did not belong to any farmers association. Based on minimum daily energy requirement per adult equivalent of N230.8, 90.6% of the farm households was food secure.
The PRM showed that age (β = -0.1, p<0.05), household size (β= -0.4, p<0.01) and economic efficiency (β = -61.6, p<0.05) reduced the probability of household food security while access to consumption credit (β= 1.7, p<0.05) and allocative efficiency (β = 67.9, p<0.05) increased the probability of household food security. The study concluded that urban farming significantly influence household food security.
JEL Classification: Q11
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Selection of agricultural land for multifunctional agriculture
49-52Views:134The modern concept of rural development implies the use of agricultural resources, primarily agricultural land, for other (non-agricultural) activities besides its agricultural purpose. The integral aim of this concept of rural development is the maximization of economic results, besides the sustainable development of rural areas, environmental protection and the production of strategic (staple) agricultural products. The objective of this paper is to define the general, theoretical, quantitative model for the determination of the size and quality of agricultural land which, considering the above-mentioned demands (criteria), is optimal for the utilization in agricultural production in certain regions. The remaining agricultural land would be available for the non-agricultural purposes. The economic optimal model for the selection of agricultural land in the traditional agriculture is the model of linear programming. The criteria of the land selection for traditional agriculture are the economic effectiveness (measured by net income or by gross national product) and the economic efficiency (measured by the production economy). The maximum economic effectiveness is determined by the standard method of linear programming and the maximum economy by the method of broken linear programming. The solution of compromise can be determined by multi-criteria programming, based on the minimum differences. The limitation groups in the mentioned variations of the model are: limitations of production quotas of agricultural products, minimum quantities of staple agricultural products, limitations of processing plants in a region (minimum and maximum), limitation of crop rotation, limitations of the needs in animal husbandry for bulky for age and limitations of agricultural land according to various types of utilization. By quantitative defining of the structure and size of agricultural land for traditional agriculture, “the surplus” and structure of agricultural land available for non-agricultural purposes is automatically determined.
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Impact of Terrorism on Agricultural Business in Borno State, Nigeria
117-124Views:262This study examines the impact of terrorism on agribusiness in Borno state. Terrorist activities in Borno state dates back to 2009 where a group of Islamic extremists popularly known as Boko Haram (meaning western education is a sin) became violent in their activities. The group operates significantly in north-eastern Nigeria where Borno state is located and since 2009. The presence of the group has led to collapse of socio-economic activities in Borno state among other states. Millions of people have been displaced fromtheir homes and forced to live in camps in neighbouring states. As a result, this study examines the impact of insurgency related activities on agribusiness in BornoState. Agricbusiness in Borno state can be measured using four different parameters, amount of area cultivated, annual crop production, rearing of livestock and fish farming. These are the major agricultural business residents of Borno state are engaged in. However due to unavailability of data, rearing of livestock and fish farming are dropped, thus focusing on area cultivated and annual crop production. As a result of these two variables, two models are developed. The first model measures the relationship between amounts of crop produced with insurgency related killings, while the second model measuresthe relationship between total areasof farmland cultivated with fatalities resulting from terrorist activity. This study employs Ordinary Least Squares methodology and finds that both relationshipsreveal negative results thus indicating statistically significant negative impact of terrorism on agribusiness in Borno State.
JEL Classification: Q10, Q18, Q12
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Profitability of cassava production in the Ashanti region of Ghana
66-69Views:746Cassava is a crop that is massively produced and consumed in Ghana even though it is produced by subsistence farmers. The aim of this study is to analyse the cost and returns of cassava farmers. Farmers profitability was accessed using the gross margin, net present value and the benefit cost ratio. SWOT analysis was conducted to access challenges faced by cassava farmers. Data was collected by personal interview from fifty (50) cassava growing farmers in the Sekyere East District of the Ashanti Region, Ghana. The Costs and returns analysis show gross margin of USD 22.75 per acre. It was concluded that cassava is cultivated for both consumption and revenue. Even though there is low investment of capital in cassava production, it helps farmers to make use of available resources (personal savings, land and labour) which would have been idle. Further should compare profitability of crops that compete for use of famers land.
JEL. CODE: Q13, Q19
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Climate change impact on crop production in Central Asian Countries
75-82Views:210Increased risk due to global warming has already become embedded in agricultural decision making in Central Asia and uncertainties are projected to increase even further. Agro-ecology and economies of Central Asia are heterogeneous and very little is known about the impact of climate change at the subnational levels. The bio-economic farm model is used for ex-ante assessment of climate change impacts at sub-national levels in Central Asia. The bio-economic farm model is calibrated to ten farming systems in Central Asia based on the household survey and crop growth experiment data. The production uncertainties and the adaptation options of agricultural producers to changing environments are considered paramount in the simulations. Very large differences in climate change impacts across the studied farming systems are found. The positive income gains in large-scale commercial farms in the northern regions of Kazakhstan and negative impact in small-scale farms in arid zones of Tajikistan are likely to happen. Producers in Kyrgyzstan may expect higher revenues but also higher income volatilities in the future. Agricultural producers in Uzbekistan may benefit in the near future but may lose their income in the distant future. The negative impacts could be further aggravated in arid zones of Central Asia if irrigation water availability decline due to climate change and water demand increase in upstream regions. The scenario simulations show that market liberalization and improved commodity exchange between the countries have very good potential to cope with the negative consequences of climate change.
JEL classification: Q11, Q18
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The impact of the “greening” of the common agricultural policy on the financial situation of Polish farms
49-55Views:343This paper presents an assessment of the impacts of introducing the greening scenario of the CAP, proposed by the European Commission as an alternative for the reformed CAP after 2013. In the past, the CAP has undergone numerous transformations in response to the changing macroeconomic environment and in reaction to developments in the farming sectors in EU countries. On the 12th of October 2011, the Commission presented a set of legal proposals designed to make the CAP a more effective policy to encourage more competitive and sustainable agriculture and vibrant rural areas. The proposal brings various new elements under consideration, some of them raising strong controversies such as introducing “greening” as a component of direct payments. Changes in the direct payments scheme in line with the EC proposition include forcing adjustments in the cropping pattern and creating ecological focus areas (EFA) on 7% of the farm land ; the consequences of such a proposal on the size and structure of agricultural production, and thus on the economic performance of farms and the whole agricultural sector are uncertain. The authors analyse historical changes to the CAP with a focus on a growing importance of the environmental component of the CAP, discuss different scenarios of shaping the direct payments system and present the results of modelling the impacts of greening the CAP on the Polish farming sector with the use of the LP optimisation model. The study was based on Polish FADN data. Results show that the majority of farmers in Poland comply with the crop diversification constraint of greening. However, establishing the required EFAs and necessary diversification on farms with simplified cropping structures will have a negative impact on the volume of agricultural production as well as on farm incomes.
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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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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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Agribusiness higher education development – training needs analysis
107-120Views:163With the tremendous changes in political and economic systems of the Republic of Croatia after independence, new challenges have been put to the higher education system as well. The system used to be structured to serve a centrally planed economy with predominantly state ownership. Universities were producing graduates to be employed on statefarms,inagri-foodsystems(socalled„kombinats“),the state owned processing industry or cooperatives. The graduates were specialised in particular branches, such as crop production, vegetable production or livestock husbandry. Therefore, they were not educated to understand the whole system of a company or the agri-food system. In one word, they were not prepared to run firms as managers, although they were highly educated. Small and medium size entrepreneurs in agri-food business have been rather an exception than a rule, and prior to the transition there was not to much experience in managing, financing or marketing for such a firms.
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The examination of the profitability and competitiveness regarding the energy plantations of woody plants in the region of Észak-Alföld
5-11Views:145Due to the decrease in the quantity of traditional energy sources, in the future an alternative energy production should be sought which provides minimum environmental burden and offers an opportunity to generate energy. The use of biomass provides another option to resolve this problem. The most important features of the biomass are that the quantity doesn’t decrease during conversions and are reproduced by natural processes. The main raw materials of the biomass are considered to be the energy plantations, which are economic in areas where the farmer, during the traditional production, can’t or with difficulties can cover the expenses, so that profitably sustainable cultivation branches can come to the forefront with less material and energy input. Those cases in which the cultivation of agricultural areas are not economically feasible, there is a possible utilization in our country which is the installation of plantations with energetic aim.
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The potential economic impact of the Western corn rootworm resistant GM variety on maize production in Hungary
87-93Views:156The paper examines that how the application of the MON88017 GM maize variety could influence the profitability of maize production in Hungary. The most important benefit of this biotech crop lies in its reduced need for chemical use and the additional yield comparing to conventional varieties. Among the economical disadvantages there is the uncertain market of GM products in the EU. After weighing all these factors the results conclude that the farmers could reach an income surplus by growing this GM variety. Although, this surplus is significant only if a similar positive yield impact is achieved under the Hungarian conditions as in the USA.
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Economic Profitability of Sweet Pepper Production under Different Irrigation Levels and Polyethylene Mulch in a Plastic Greenhouse
109-116Views:178Field experiment was conducted, during two successive seasons of 2014- 2015 and 2015- 2016, at Dokki protected agricultural site, Giza Governorate, Egypt, to study the profitability of different applied irrigation levels and polyethylene (PE) mulch on plant growth and yield of sweet pepper, (Capsicum annum L.) cv. Godion F1, under plastic house condition. Three irrigation levels (0.50, 0.75 and 1.00) of crop evapotranspiration (ETc), using drip irrigation system and three PE mulch treatments (transparent, black and control) were applied. Data revealed that black PE recorded the highest values of early and total fruit yield per plant during the two seasons. Increasing water level up to 1.00 (ETc) enhanced yield with different PE mulch treatments, while water use efficiency (WUE) decreased with increasing water level. However, Using 0.50 (ETc), with different PE mulches increased WUE compared to using 0.75 (ETc) or 1.00 (ETc). The economic assessment of costs and returns from different treatments were calculated. It was found that the average yield was higher in 1.00 ETc with black mulch. Gross margin per 540 m2 were analysed using yield data, price structures and production costs. The 1.00 (ETc) with black mulch had the highest gross margin which is USD 416.8 and USD 533 (1 USD= 9 Egyptian pound) for the first and second seasons, respectively. The benefit cost ratios (BCRs) per 540 m2 were analysed, and 1.00 (ETc) with black mulch had the highest BCR with 1.36 in the first season and 1.45 in the second season.
JEL Classification: Q 01, Q 12, Q 19
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Economic, practical impacts of precision farming – with especial regard to harvesting
141-146Views:162Today agricultural practice is faced with a paradigm shift. In terms of natural resources, the World’s growing population calls for rational management and environment-conscious behaviour. Precision farming may provide a solution for the above mentioned criteria and problems. It has an array of technological equipment, elements and complete systems which are in themselves suitable to create conditions for efficient farming, to reduce environmental load and to provide farmers with optimal return on their investment. Agricultural production has started to focus mainly on efficient crop production and machine operation. Due to this trend, machinery exploitation emerges as a secondary priority for agricultural enterprises. The underlying reason behind this shift is primarily the rise of machinery operation costs. Efficient machinery operation can provide farmers with a solution to reduce their expenditure and through better logistical organization they can obtain extra returns. On the leading edge of my research is to introduce, quantitatively underpin and to justify the application of precision technologies. Our fundamental research methods rely on scenarios and economic calculations.
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