Search
Search Results
-
Relationship between the qualification and labour market situation of disabled workers in Hungary
23-25Views:271My PhD research focuses on special rehabilitation firms (they are specialised to employ disabled people) and their employees. Two questionnaires for the above mentioned firms and their employees were created in order to gather information on their activities as well as to explore the relationship between the firms and their employees. Altogether 1030 employees and 109 employers filled in the questionnaires. The current study shows the results of this survey. It can be stated that this paper shows the risk of finding a workplace after a certain time period. According to the latest trends I analyse the labour market situation of people living with disabilities with survival analysis. The survival analysis is able to manage partial information, as well. After summarizing all claims of participants we can make an impression in this area and demonstrate the problems for the labour market generally. I use the Log-rank, Breslow and Tahane-Ware probe.
-
Multi-level analysis of visitors’ satisfaction flying to Debrecen – main aspects of the research
27-32Views:297This paper presents the non-exhaustive description of the main characteristics of visitors based on the filled out questionnaires during five months following the test month. These characteristics will serve the basis of a satisfaction analysis to be described in the future and they provide guidance for later analyses. I performed the testing of my questionnaire in January 2014. It turned out even from the data collected in the test phase that there were services which did not meet the expectations of visitors several times as it was worse than what they expected. This study focuses on the questionnaire research conducted among foreign visitors coming to Debrecen by flight. The main aspects were to determine foreign visitors purpose of travel to Debrecen, how many times they had already been to Debrecen, how many days they spent in the city, what kind of services did they use and whether the quality of used service met their expectations. As a result of the following five months research, I obtained input data which make it possible to examine real problems with background data. It calls for further examination to determine whether there was any difference in the extent of services living up to visitors’ expectation and visitors’ level of satisfaction.
-
Commodity Indices Risk and Return Analysis Against Libor Benchmark
55-66Views:284This study analyze the risk and return characteristics of commodity index investments against the LIBOR benchmark. Commodity-based asset allocation strategies can be optimized by benchmarking the risk and return characteristics of commodity indices with LIBOR index rate. In this study, we have considered agriculture, energy, and precious metals commodity indices and LIBOR index to determine the risk and return characteristics using estimation techniques in terms of expected return, standard deviation, and geometric mean. We analyzed the publicly available daily market data from 10/9/2001 to 12/30/2016 for benchmarking commodity indices against LIBOR. S&P GSCI Agriculture Index (SGK), S&P GSCI Energy Index (SGJ), and S&P GSCI Precious Metals Index (SGP) are taken to represent each category of widely traded commodities in the regression analysis. Our study uses time series data based on daily prices. Alternative forecasting methodologies for time series analysis are used to cross-check the results. The forecasting techniques used are Holt-Winters Exponential Smoothing and ARIMA. This methodology predicts forecasts using smoothening parameters. The empirical research has shown that the risk of each of the commodity index that represents agriculture, energy, and precious metals sector is smaller compared to its return, whereas LIBOR based interest rate benchmark shows higher risk compared to its return in recession, non-recession and overall periods.
JEL Classification: C43, G13, G15
-
Economic modelling and analysis of Hungarian wheat production in the marketing year 2011
63-67Views:355In 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.
-
Analysis of production and competitiveness on small beekeeping farms in selected districts of Serbia
Views:395The study researched the costs and returns on typical small beekeeping farms from five districts in Serbia. On the basis of the field research, data on the number of beehives,type of product, volume of production per beehive and values per measurement unit were collected.In order to demonstrate the competitiveness of various apicultural products, analysis of the available data was performed using analytical calculations. According to the analysis, the labour costs comprise about 49.65% to 64.15% of the variable costs on beekeeping farms in the Raška and Šumadija districts, respectively. Production is most economical on the bee farm in the district of Srem, where every dinar spent in production creates a value of 2.22 dinars, while the farm from the district of Raška is the least economical (1.32 din). Bee farms must reduce labour costs and re-direct their business orientation to other bee products, besides honey, such as pollen, which could be significantly more profitable.
-
Marketing characteristics of Tokaj wine specialities based on factor and cluster analyses
93-101Views:495The marketing kind of analysis in the domestic and international markets of Tokaj’s wine speciality has not happend yet. The present research scientific method supportedly defines the consumers of Tokaj’s wine speciality and it determinates the overlay receipt. The basis of the questionnaire research at the wine consumers cirlce is a representative sample of 1179 people. It confirms the truthfulness with factos and cluster dissection. On the hungarian market 5 sections can be devided, which has been determined by the earning category, the wine savvy and the referene price interval. Tokaj Wine Specialities named “late vintage” are also available. This name can be confusing for the consumer, some do not understand in what they differ from other Tokaj Wine Specialities, as actually all Tokaj Wine Specialities are late vintage wines; particularly, wine is harvested later than usual, occasionally in October or November. The findings obtained during the research can beutilised in practice, too. In accordance with the results and conclusions, we have several practical suggestions. Our methodological suggestion is that the result of the cluster analysis based upon a large number of representative sample should be cross-checked with focus group tests; what is more, upon justification and verification, a detailed analysis of the given segments can also be performed better with this method. It would be worth studying the exact reasons for the popularity of wines with the name ”late vintage”. Such types of Tokaj Wine Specialities should be given higher priority in marketing terms. My suggestion is that the type of wine accepted and liked by consumers should be kept count of as TokajWine Specialities officially, too. The future marketing strategy has to be developed by knowing the sections and by it’s further research which has to integrate to the strategy of Tokaj’s wine region.
-
On tests for long-term dependence: India ’s international tourism market
109-113Views:336There have been growing interest in studying behavior of long memory process in tourism market. In this research examine the behavior of India’s international tourism market based on long-memory analysis. The international tourism market of India combined with nine countries: USA, UK, Canada, Germany, France, Japan, Malaysia, Australia and Sri Lanka. Moreover, three statistical tests for longmemory process such as R/S test, Modified R/S test and GPH-test are employed to test in these market. The empirical findings in general provide more support for no long memory process or no long-term dependence in international tourism market of India.
-
Agricultural development and government expenditures in the new EU countries
21-35Views:372The main ambition of this paper is to analyse agricultural developments in selected new EU member states with particular emphasis on government expenditures in agriculture. The main objective is to identify the relationship between government expenditures development on one side, and agrarian sector performance (the value of production) in selected member states on the other. The conclusions drawn from this analysis are that the agricultural sector has changed its structure and position within the national economy of selected new EU member states significantly in the 20 years since the early 1990s. Member states included in the analysis reduced both the size of their agricultural sector (number of people working in agriculture, total arable areas, number of animals, etc.), and the value of agricultural output. Despite the significant reduction of the agricultural output, member states became more efficient – and in particular their productivity per farmer increased significantly. Selected country’s agricultural sector, its structure and production value development are closely related to government expenditures. Significant correlation is apparent between agricultural government expenditures and the change in the number of economically active persons in agriculture, development of agricultural production, agricultural area, agricultural GDP and agricultural capital stock. Regarding the elasticity of new EU member states’ agricultural sector in relation to changes in government expenditures, significant elasticity is apparent in the case of the number of economically active persons in agriculture, agricultural production (especially livestock production), area of arable land, agricultural GDP and capital stock.
-
A Quantitative Assessment of the Rurality and an Efficiency Analysis of Emigration in Romania
39-46Views:356In Romania, as in many other Eastern European countries, the early 1990s were marked by a significant emigration from the countryside as a consequence of the transition from a centralised economy to an open one and due to key changes in the political framework. The permanent emigration has predominantly been concentrated in rural areas where multiple socio-economic variables such as GDP per capita, unemployment, and public financial subsidies aimed at supporting people at risk of severe deprivation and poverty have all had a direct effect on rural depopulation. The rurality is a complex theoretical construct comprising many items and variables and is, therefore, difficult to define in a concise manner. The aim of this paper is to assess the evolution of emigration in Romania between 2001 and 2016 through a quantitative approach, estimating an index of rurality for the same period composed of a set of socio-economic variables having a direct or indirect nexus to it. In the first phase of research, a matrix of correlation and a multiple regression model has been used in order to estimate the direct links among all investigated variables. Following the quantitative methodology, in the second phase Partial Least Square Structural Equation Modelling (PLS-SEM) has been used in order to assess the main cause-effect relationships among a few selected endogenous variables and a set of socio-economic items. Furthermore, using a non-parametric Data Envelopment Analysis (DEA) output-oriented model, this research has assessed the efficiency in terms of permanent emigration from Romania estimated as an output to minimise and not as an output to maximise, as investigated by traditional efficiency approaches. In terms of efficiency, financial subsidies allocated by national authorities and the level of per capita Gross Domestic Product have acted directly on the level of emigration. The index of rurality in 2016 has been influenced in particular by he pluriactivity in farms in terms of agritourism, the dimension of farms in terms of land capital endowment, and the level of GDP per capita.
JEL Classification: Q10; Q18
-
On tests for long-term dependence: India’s international tourism market
77-81Views:274There have been growing interest in studying behavior of long memory process in tourism market. In this research examine the behavior of India’s international tourism market based on long-memory analysis. The international tourism market of India combined with nine countries: USA, UK, Canada, Germany, France, Japan, Malaysia, Australia and Sri Lanka. Moreover, three statistical tests for longmemory process such as R/S test, Modified R/S test and GPH-test are employed to test in these market. The empirical findings in general provide more support for no long memory process or no long-term dependence in international tourism market of India.
-
Emerging trends in strategic planning
23-31Views:1540In today’s rapidly changing world, there is an increased need for excellent strategic planning. A firm’s survival may indeed hinge on the firm’s planning process being exemplary. Various aspects of the strategic planning process are under review today as organizations wrestle to compete more effectively. This paper reveals and describes five emerging trends or tools being utilized today by firms to more effectively engage in strategic planning. Specifically, the emerging trends and tools to be discussed in this paper are as follows:
1) Assure vision and mission statements include desired characteristics
2) Perform SWOT (Strengths-Weaknesses-Opportunities-Threats) analysis using AQCD (Actionable, Quantitative, Comparative, and Divisional) factors
3) Utilize varied sources to obtain AQCD information
4) Utilize QSPM (Quantitative Strategic Planning Matrix) analysis to determine the relative attractiveness of alternative strategies
5) Use excel-based software to facilitate and enhance the strategic planning process.
The purpose of this paper is to familiarize readers with basic new tools and techniques being used by organizations to effectively develop an improved strategic plan for the firm.
JEL Code: M21, O21
-
On tests for long memory process behavior of international tourism market: Thailand and India
95-99Views:377In our research we examine the behaviour of both Thailand’s and India’s international tourism market by using long-memory analysis. The international tourism market of Thailand combined with seven groups such as East Asia, Europe, The Americas, South Asia, Oceania, Middle East and Africa. Similarly, the international tourism market of India combined with nine countries: USA, UK, Canada, Germany, France, Japan, Malaysia, Australia and Sri Lanka. Moreover, three statistical tests for long-memory process such as R/S test, Modified R/S test and GPH-test are employed to study these markets. The empirical findings in general provide more support for long memory process in international tourism market of Thailand and evidence for short-term dependence in international tourism market of India. Therefore, the policy makers of each country should understand the behaviour of long memory process in international tourism market before launching any stimulating campaign to this industry.
-
QUANTITATIVE RESEARCH OF FACTORS (CONVENIENCE OF ACCESS AND GENDER) INFLUENCING THE FOOD STORE CHOICE IN NAGYKŐRÖS
Views:246The objective of the research is to analyze the food purchasing decisions of Hungarian customers depending on priority factors (convenience of access and gender) that impact the food store choice.
To identify the characteristics of food shopping behaviour, we conducted a customer survey of 220 individuals in the city of Nagykőrös. The data collection was carried out using a standard questionnaire and an online survey on the Nagykőrös public life community social media portal, and by informing shoppers about the possibility to fill in the questionnaire in the Municipality’s posts. The sample can be considered representative based on the gender distribution of the primary food purchaser.
During the analysis of the data, in addition to descriptive statistics, we utilized factor analysis to describe the mindset of the customers, and created segments based on the factors influencing the choice of store using cluster analysis.
For the vast majority of consumers, the primary determinant in selecting a store is the affordable price level, regardless of how often they make purchases. When shopping on a daily basis, customers prioritize the store’s proximity to their residence, promotional discounts, and variety of products available. Men tend to value a relaxed ambiance and convenient parking, while women prioritize special deals and competitive prices when choosing their regular shopping location
We have identified price sensitivity, accessibility, location, and atmosphere as key factors. Throughout our research, we have categorized customers into four distinct clusters: Action-oriented family members (36.1%), Conscious shopping family members (29.9%), Price-conscious seniors (20.6%), and Curious beginners (13.4%).
A significant hurdle for Hungarian retail companies is to enhance the quantity of their loyal customers, which they can solely achieve by taking market share from their rivals (primarily other retail companies). Initially, they must determine whether their customer base favours their kind of store for everyday or bulk shopping. They must cater to the demands of their target customer base (potentially the clusters established by our research) in relation to the key factors influencing store selection and purchase frequency, in order to attain success in their business. We suggest utilizing the factors that influence store selection as segmentation criteria.
-
In search of clusters
7-17Views:382The aim of this article is to present the ‘regional cluster quick scan’as an efficient and objective tool to scan a region of interest for the presence, nature and development phase of regional clusters. The ‘tool’developed in this research is based on the relations between the state of cluster development in regions, competitiveness, and economic growth. First, a theoretical model is developed and then this model is applied to a real case to test the validity of the model. The results indicate the possibility of identifying regional clusters and their competitiveness by using Shift and Share analysis.
-
Consumer attitudes and preferences about the pork meat in Hungary (based on cluster analysis)
151-158Views:525In my study I wish to investigate the fact that how the pork consumption of Hungary changed during the last years. This study focuses on consumer’s attitudes about (pork) meat, what do they think about the healthness of the different meat type, what are the strengths and weaknesses of pork meat, what are the main features of good quality pork meat, what are the major pork purchase influencing factors and what are the favourite food of the respondents from pork meat etc. Then I analyze the tendency of these values (cross tabs, bar/pie charts, means, Chi-square), where can be found significant differences, and make a cluster analysis to identify the pork consumers in Hungary.
-
Comparing ols and rank-based estimation techniques for production analysis: An application to Ghanaian maize farms.
125-130Views:334This paper introduces the rank-based estimation method to modelling the Cobb-Douglas production function as an alternative to the least squares approach. The intent is to demonstrate how a nonparametric regression based on a rank-based estimator can be used to estimate a Cobb-Douglas production function using data on maize production from Ghana. The nonparametric results are compared to common parametric specification using the ordinary least squares regression. Results of the study indicate that the estimated coefficients of the CobbDouglas Model using the Least squares method and the rank-based regression analysis are similar. Findings indicated that in both estimation techniques, land and Equipment had a significant and positive influence on output whilst agrochemicals had a significantly negative effect on output. Additionally, seeds which also had a negative influence on output was found to be significant in the robust rank-based estimation, but insignificant in the ordinary least square estimation. Both the least squares and rank-based regression suggest that the farmers were operating at an increasing returns to scale. In effect this paper demonstrate the usefulness of the rank-based estimation in production analysis.
JEL CODE: Q18, D24, Q12, C1 and C67
-
HOUSEHOLDS’ FOOD CONSUMPTION BEHAVIOUR DURING COVID-19 PANDEMIC: EVIDENCE FROM RURAL HOUSEHOLDS IN SOUTH AFRICA
Views:368The food consumption behaviour of households has been affected by the lockdown restrictions that were implemented to reduce the COVID-19 infection rate. This study was aimed at analysing the food consumption behaviour of rural households during the COVID-19 pandemic in South Africa. To achieve this, a simple random technique was used to collect data from 120 in Merry Pebble (MP) Stream Village. Thereafter, an Ordered Probit Model was used to examine the extent to which households have increased, decreased or maintained the same quantity of food consumed during COVID-19. The results indicated that 46.7% of the rural households had consumed less food during COVID-19 pandemic, 32.5% consumed about the same amount of food, and 20.8% consumed more food. The variables that contributed towards a decrease in food consumption are employment status, household size, loss of income, and social relief grants. On the contrary, bulk buying and food parcels had stabilised food consumption, while the number of employed people in a household and food bought from restaurants contributed towards an increase in food consumption during COVID-19 pandemic. With regard to consumption behaviour per food item, fresh produce, meat, snacks and fast food were consumed less during COVID-19, while there was a constant consumption in dairy products, and an increase in consumption of canned food, frozen food, prepared food, grains and water. The study recommends that the government should continue with the economic and social relief programmes that were created during COVID-19, as they play an important role in increasing and stabilising food consumption by rural households.
-
Trajectories of agricultural modernization and rural resilience: some first insights derived from case studies in 14 countries
31-43Views:419In this paper, alternative trajectories of agricultural modernization and rural resilience are explored based on case studies in 14 countries. The analysis is to support discussions about the further development of agriculture at a time when the agricultural sector must respond to an increasing scarcity of natural resources, challenges like climate change, urbanization, demographic change, food security, consumer demands, distributional issues in food value chains and changing urban-rural relations. The discussion relates different trajectories of agricultural modernization to the multiple mechanisms underlying rural prosperity and resilience. The mainstream capital-intensive and technology-driven model of agricultural modernization is contrasted with more incremental, socially embedded and localised forms of development. Potential synergies between different modes of farm ‘modernization’, resilience and sustainable rural development are highlighted and a different future-oriented understanding of the term ‘modernization’ explored. The basis for the analysis are case studies in 14 countries (including Turkey and Israel). The key question asked is how actors are connecting economic, social and natural systems in the different cases and how the connections made (or not) point to different ideas about modernization. The conclusions focus on some current information needs of policy-makers: the links between different forms of farm modernization, rural development and resilience, and the implications for agricultural knowledge systems and the new European Innovation Partnerships. It is emphasized that local capacities for transdisciplinary research need to be strengthened and that more attention should be paid to addressing modernization potentials that are less mainstream. The paper seeks to foster discussions that help overcome simplistic viewpoints of what ‘modernization’ entails. It is based on an earlier review paper by Knickel, Zemeckis and Tisenkopfs (2014).
-
What differentiates the entrepreneurs from non-entrepreneurs on nature and nurture?
45-52Views:919Based on the importance and contribution of entrepreneurship in economic development, it is vital to know that what underlying factors may promote the spirit of entrepreneurship? The entrepreneurship literature suggests two kinds of broader influencers or predictors for entrepreneurs and non-entrepreneurs “nature” and “nurture”. In this study “nature” includes the psychological or personality related factors; self-confidence, locus of control, risk-taking propensity and trust levels. The “nurture” is explained by the effects from society in general and friends and family in particular. To answer the question “What differentiates the entrepreneurs from non-entrepreneurs on nature and nurture?” we collected data through questionnaire from 155 respondents. The 70 respondents were entrepreneurs and 85 were non-entrepreneurs. Step-wise discriminant analysis was used to determine the discriminating factors for entrepreneurs from non-entrepreneurs. Results indicate that societal impacts, risk taking propensity and trust levels were significantly discriminating the two groups; entrepreneurs and non-entrepreneurs. The study has important implications for policy makers, academicians, researchers and potential entrepreneurs.
JEL Code: L26, M13
-
Efficiency analysis of dairy farms in the Northern Great Plain region using deterministic and stochastic DEA models
113-122Views:316Running 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.
-
Tourism performance of destinations based on settlement approach
63-68Views:276Recently in the regional development researches the attention draw to the way of measuring destination's development and competitiveness. The further development of the Hungarian Tourism depends on the regions, destinations' developments, their success in competitiveness and the ongoing innovation in tourism. The research of the Budapest Business School Institute of Tourism Department intends to elaborate a complex tourism destination indicator based on former researches and experiences.
-
Using DEA to evaluate efficiency of higher education
79-82Views:809The 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.
-
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:389Ever 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
-
THE ANALYSIS OF FACTORS ON STUDENTS’ SATISFACTION: THE CASE OF MONGOLIA
Views:406Our study aims to examine the correlation between professors’ communication, professors’ knowledge, professors’ skills, teaching method and campus environment and how students’ issues are assessed with their satisfaction. We attempt to evaluate the students’ satisfaction of the Mongolian State University of Educational and Royal International University, Mongolia. Our study was conducted via online channel from 326 respondents, who study at university bachelor degree in Mongolian public and private university. We used SMART PLS-3.0 and SPSS-25.0 software as a qualitative research program, Cronbach's alpha (α coefficient), (T statistic) and (P values) were used to measure the data in our study. There were two hypotheses are supported and three hypotheses are no supported in our study. In conclusion, RQ 1 and RQ 4 are strongly supported by the path analysis results, while RQ 2, RQ 3, and RQ 5 do not find sufficient evidence to assert their influence on student satisfaction based on the analyzed data.
-
Economic analysis of some agrotechnical factors in maize production - a Hungarian case study
5-16Views:720This 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
Keywords
