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Sensitivity of technical efficiency estimates to estimation methods: an empirical comparison of parametric and non-parametric approaches
67-72Views:107This paper highlights the sensitivity of technical efficiency estimates to estimation approaches using empirical data. Firm specific technical efficiency and mean technical efficiency are estimated using the non parametric Data Envelope Analysis (DEA) and the parametric Corrected Ordinary Least Squares (COLS) and Stochastic Frontier Analysis (SFA) approaches. Mean technical efficiency is found to be sensitive to the choice of estimation technique. Analysis of variance and Tukey’s test suggests significant differences in means between efficiency scores from different methods. In general the DEA and SFA frontiers resulted in higher mean technical efficiency estimates than the COLS production frontier. The efficiency estimates of the DEA have the smallest variability when compared with the SFA and COLS. There exists a strong positive correlation between the efficiency estimates based on the three methods.
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Urban consumers’ attitude towards organic food in Sri Lanka
5-14Views:473This research investigation aims to examine the urban consumers’ attitude towards organic food, and the factors affecting for their attitude. A consumer survey consisting of a sample of 600 consumers was conducted, using a pre-tested questionnaire, in major cities of six main districts of Sri Lanka during November 2016 - May 2018. Data were analyzed using descriptive statistics, factor analysis, and multiple linear regression analysis. Results revealed that majority of the consumers were married females. Most of them were of 18-40 years of age category and were educated up to the GCE advanced level. The sample’s monthly income ranged from Sri Lankan Rupees 58000 – 85000. Although the majority of the consumers (75.2%) were aware of organic food, only 11.5% possessed a good knowledge about them. As per the mean analysis, the consumers had a positive attitude towards most aspects of organic food. According to factor analysis, four factors (environmental factors, quality factors, health factors, and marketing factors) were extracted as they are influenced to the consumer attitude for purchasing of organic foods. Results of multiple linear regression analysis revealed a positive relationship between consumers’ attitude and the extracted four factors which were based on the consumers’ attitude on purchasing of organic foods. Main problems faced by consumers in buying organic food were the high price, unavailability of organic food, lack of trust, and lack of market information on organic food. It can be concluded that by providing the necessary conditions such as arranging better marketing facilities with useful market information, a continuous supply of organic foods with reasonable price levels, and enhancing consumer knowledge, will motivate the consumers to purchase more organic food. As relatively low is known about consumers’ purchasing pattern of organic foods in Sri Lanka, findings of this study would be beneficial to the traders and policy makers to formulate effective strategies designed to marketing of organic foods in the country.
JEL CODE: Q13
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Analysis of economic issues relating to the dairy sector, with emphasis on price transmission
61-70Views:145The dramatic decline in consumption after 1990 was an important problem during the analysis of the sector. Even today, consumption is still below the degree that was before the political change, and significantly lags behind the EU level.The importance of this topic is emphasized by the fact that surplus milk could be marketed through the increased domestic consumption; this would create a more stable and calculable situation for farmers. Therefore, I considered it important to reveal what factors and by what shares influence the consumption of milk and dairy products. The relationship, time series and cross-sectional analysis based on national and international databases demonstrate the relationship between the consumption of milk and dairy products and the other determining factors of consumption in Hungary and in the EU-25 through diagrams. I draw the conclusion that there is a medium correlation between the development of the economy, the higher income level and the consumption of milk and dairy products. Just before our EU accession, the dairy sector was one of the most critical industries of Hungarian agriculture, which is why I chose this for my analysis. I regard as a new scientific result the econometric analysis of the asymmetric market conditions in the price transmission approach within our dairy sector between 1995 and 2003. I confirmed and quantified that the market is under an oligopoly and defined the direction of price adjustment. Furthermore, I regard as a new result in the price transmission analysis (also published in the article published with Dr. József Tóth), that the three possible dimensions (elasticity, a symmetry relations,lag) are analysed simultaneously.Therefore,a more sophisticated picture is given on price transmission. The theoretical advantages and disadvantages are verified by an example of a vertical coordination based on the horizontal cooperation in the dairy sector (Alföldi Tej Ltd).
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Complex problem analysis of the Hungarian dairy farms
93-100Views:203Hungarian dairy farms went through significant changes in past two decades. The most significant changes were caused by our accession to the European Union in 2004. In Hungary milk production remarkably declined after EU accession due to the decreasing level of support and decreasing milk prices. Size of our dairy herd has been practically reducing since the political transformation (1989); meanwhile the relative yields per cow have been continuously increasing. Relatively low prices, high production costs and tightening quality requirements ousted several producers – mainly small farms - from the market in past years. Feeding cost represents the highest rate in cost structure of production, but animal health expenditures and various losses are also significant. Applied technology of the Hungarian dairies lags behind theWestern-European competitors’; in addition they have handicaps in efficiency and product innovation. Moreover Hungarian milk and milk product consumption is about half of the Union average. In 2007 at the University of Debrecen the opportunities and the problems of this sector were discussed in the framework of a research and development project entitled “Project-generating based on sector-specific innovation”.At this workshop farmers, experts and advisers shared their ideas which were all gathered. The main objective of our paper is to provide useful information for the decision makers and the most important members of the sector. Using the practically successful ideas plus the ideas based on previous experience a new strategic concept was created. To reach the objective of this paper we collected, synthesized and analysed the strengths, weaknesses, opportunities and threats of the dairy farms and performed a SWOT analysis. On the basis of this SWOT analysis we set up a well organised problem hierarchy which would help to identify the main weaknesses of the sector. This analysis gives a great framework for the researches and it also gives a useful tool for the decision makers to improve the competitiveness of the Hungarian dairy sector.
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Clasters and Correlations among the Eu Member States Regarding Agri-Food Foreign Trade
55-63Views:129The European Union has a significant role in international trade but this is largely in the area of industrial goods. However, in the case of some agricultural commodities the EU applies tariffs, bans, or different restrictive measures; it manages foreign trade in agricultural goods with many countries all over the world. On the other hand the member states do not contribute to the total trade of the EU to the same extent. In this study, a comparative analysis was performed in relation to the member states by means of data of Eurostat and Faostat. First, a multivariable correlation analysis was carried out in order to find the interrelation between the trade features of each country. In the second part of the study, a cluster analysis was carried out with almost the same component as in the foregoing, also in terms of the EU member states. It can be ascertained that the date of EU accession of a Member State as well as getting EU agricultural subsidies do not affect the agricultural foreign trade of the member states. Countries with significant agricultural production also export food commodities in larger quantities. Countries that have significant exports extra-EU also have larger imports in the case of both basic commodities and prepared food as well. As a result of the cluster analysis, it can be stated that the member states can be divided into specific groups according to the three examined aspects (food trade features, exports of commodities, imports of commodities). The following typical country groups can be divided as follows: non-trade countries, countries with larger trade extra-EU, agri-food exporter and importer countries, non-agri-food exporter and importer countries, primary commodity exporters and importers, and last but not least processed food exporters and importers as well.
JEL Classification: F10
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Swot analysis and identification of the needs, potential and development strategies of the fruit and vegetable sector in Montenegro
15-20Views:176Fruit and vegetable production in Montenegro benefits from naturally favourable conditions in terms of climate, soil and water resources. Such conditions enable high quality fruit, vegetables and vines to be grown, and fruit and vegetable production and viticulture have a long tradition as well as the cultivation of a wide assortment of produce. A significant number of Montenegrin households therefore deal with horticultural and wine production, although on a small-scale. Along with the global market trends, the level of domestic consumption, the expected evolution of the distribution system in Montenegro and the planned dynamic developments in the tourist sector, these natural conditions contribute to creating basic conditions for the development of the considered sector. Market opportunities are favourable and represent an additional contributing factor towards its development. In spite of the favourable climate for production in this sector and the supportive market opportunities, the real value of Montenegrin products at sector level is quite low. We conduct a SWOT analysis of the sector aimed to find out its potential as well as the needs of the sector. Our starting hypothesis is that the potential of this sector in Montenegro is greater than current activity/production, and that suitable strategies can provide higher results in this sector. The main outcome of this paper will be our suggestions for improvement within the sector. The SWOT analysis will be completed according to the PESTEL categorisation, after which Opportunities and Threats will be grouped into three major strategic categories: “New market trends”, “Sector financing” and “Structure and functioning of the value chain”. The SWOT analysis outcomes, when regarded alongside a review of global market trends and domestic production potential, lead to strategies for the improvement of the sector.
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Comparison of consumption and purchase habits for University students for industrially kept pigs and mangalica pigs
Views:186The aim of the study is to compare the preferences for the purchase and consumption of industrially kept pigs and mangalica pigs. The research was conducted among the students of the Faculty of Economics and Business of University of Debrecen in October 2019, in the form of an online questionnaire. Descriptive statistical methods, chi-square tests, Spearman rank correlation indexes, factor analysis and two-step cluster analysis were used to analyze the data obtained from the survey. Based on the results, it can be said that there are differences in consumer perceptions of industrially kept pigs and mangalica pigs among a number of sociodemographic factors. Factor analysis was used to delimit three factors in the case of industrially kept pigs (“domestic-branded-fresh product” aspects, factors related to health awareness, aspects of a marketing nature), while in the case of mangalica pigs one factor was identified. Next, I used a two-step cluster analysis using the isolated factors, where several sociodemographic variables were tested. The best fit was shown by the combination of gender and highest educational level. Based on these, it can be concluded that in the case of industrially kept pigs, the factors considered in the purchase were the most important for women and men with higher education in the case of two factors (“domestic-brand-fresh product” aspect and marketing aspects) and for mangalica pigs. While in the case of industrially kept pigs, the third factor (factors related to health awareness) that were taken into account in the purchase proved to be the most important for men with a secondary education.
JEL Code: I12, M31
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Dairy farms efficiency analysis before the quota system abolishment
147-157Views:142The 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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Socioeconomic determinants of frequency of fish purchasing among Trinidad and Tobago shoppers: A binary logit analysis
105-109Views:127As the Caribbean continues to succumb to the pressure of Non-Communicable Diseases innovative strategies are being sought to rectify the problem. Increasing the purchase and consumption of fish/seafood has great potential in this regard; however, very little empirical research appears to have been undertaken on food marketing in general and for fish in particular in the Caribbean. This study analyzed the factors that affect the frequency of fish purchasing in Trinidad and Tobago. The results of the analysis indicated that 63% of the sample are occasional purchasers of fish (purchased fish less frequently than once per week). The binary logit analysis showed that of the eight socioeconomic variables analyzed, only three were statistically significant – age, educational level attained and religion. The results suggested that persons over 35 years, more educated (tertiary level trained) and non-Christians are more probable to be regular purchasers of fish than younger, primary and secondary level educated Christians. It is hoped that marketers trying to develop strategies to gain market share in the highly competitive food market, nutritionists and others attempting to reduce the health care costs of Trinidad and Tobago and other Caribbean countries through the increased consumption of fish/seafood find these results informative.
JEL. Code: M31, Q13, C25
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European traditional food producers and marketing capabilities: An application of the marketing management process
41-46Views:117The purpose of this paper is to evaluate the marketing management capabilities of SMEs producing traditional food products, in order to analyse the market orientation of SMEs in the food industry. Following the theoretical approach of Market Orientation, our analysis is based on an assessment of the marketing management process. The methodology refers to a survey developed through a questionnaire published on the web, and a sample of 371 firms based in Belgium, Italy, Spain, the Czech Republic and Hungary was used in the analysis. Cluster analysis was applied to find the different levels of market orientation of the firms. The results revealed a certain lack of appropriate skills in marketing management in the firms of the sample, confirming the evidence found in economic literature concerning SMEs. Nevertheless, cluster analysis outlined a group of firms with good marketing capabilities and market oriented, and these represent a great part of the sample (40%). With regard to the stages of the marketing management process, the most problematic are those of planning and implementation, and control and evaluation, highlighting the difficulties SMEs encounter in carrying out coordinated marketing; which appears to be generally characterised by poor organisational capacity.
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Empowerment of rural women farmers and food production in Rathnapura district in Sri Lanka: a household level analysis
105-112Views:229Women empowerment and gender equity are two significant aspects of the sustainable development of a country. As Sri Lanka is on the way towards sustainable development, this study was conducted to assess the situation of women farmers’ empowerment and food production in Rathnapura district of the country. A sample of 300 women farmers was randomly selected for the study, from two selected Divisional Secretariat (DS) of Rathnapura district. Data was collected from a field survey using a pre-tested, self-administered questionnaire survey from April to July 2019. Empowerment was analyzed using the empowerment framework used by RAHMAN AND NAOZORE in 2007 in the study of “Women Empowerment through Participation in Aquaculture” with necessary modifications. Data analysis was conducted using descriptive statistics, correlation analysis and multiple linear regression analysis. Results revealed that majority of the women farmers were middle aged, married and had children. Furthermore, most of them had education up to secondary level. While average family size was four, average farm size was 1.25 acres. They had around 16 years of farming experience. The average monthly income of them was 25,000.00 LKR whereas 20% of it was from agriculture. The main sources of empowerment of women farmers were the Agrarian Service Center (55%) followed by village organizations/societies (30%) and microfinance institutions (26%). Furthermore, women empowerment index was 0.65. It is a moderate level of empowerment. However, there were women farmers under three categories of empowerment levels: low empowerment (4.1%), medium empowerment (58.5%) and high empowerment (36.1%). Out of the socio-economic factors; age, education, family size, land size, number of training programs participated, monthly income, experience in agriculture and number of organizations participated, education and number of training programs attended had significant and positive effect for the empowerment. Accessibility of credit facilities and agricultural extension program participation showed that there was a considerable impact on food production rather than the cultivable land size and utilization of modern farming technologies for food production. Therefore, proving of timely important agricultural education and training programs, enhance awareness level of modern farming technology utilization, better micro finance programs and agricultural credit facilities will be able to enhance the empowerment level of the women farmers of this area furthermore.
JEL CODE: Q01, Q12
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The analysis of absorption capacity of project beneficiaries contributing to cross-border programmes based on the most fundamental criteria
93-100Views:121Subsequent to the experience with the international aid programmes of the 1990’s, from the very beginning of the accession negotiations and since 2004 in particular, the notion of absorption capacity of using EU funds has gradually been in focus. The subject of early scientific investigations concentrated mainly on the analysis of the macro-economic conditions of individual countries; furthermore, on increasing absorption capacities as well as how to develop the institutional system of cohesion policy further. After 2004, however, succeeding further rounds of the enlargement as well as after the programming period 2007-2013 in particular – meaning as well the conclusion of the EU budgetary period – the analysis of absorption capacities could be produced at the level of project beneficiaries. The aim of this study is to examine the most prominent determinants influencing successful outcomes and the quality of vigorous projects managed by potent beneficiaries and consortia participating in the European Territorial Co-operation Programmes with the contribution of Hungary. In the course of research correlations between determinants have been subject to econometric analysis revealing the fact that the implementation capacities of state-owned project beneficiaries and those of the non-governmental sector diverge significantly. Moreover, the study aims to show how the institutional system distributing EU funds tends to be rather lax towards the beneficiaries with weak absorption capacities, thus sacrificing the efficiency of developments for pure statistics.
JEL code: R58
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Examination of pig farm technology by computer simulation
25-29Views:147Agricultural 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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Examining career orientations at the University of Debrecen
59-67Views:156The paper endeavours to give a narrower definition of the orientation of ‘career’. The survey to be discussed examines a sample of 116 full time students of economics and has career anchor analysis as its focus. The study details the result of a questionnaire-based survey, which was carried out with respect to the carrier of university students and was supplemented by surveying motivation, value and work value as well. The analysis finds that “security, stability and organisational identification” are judged to be the primary career anchors among the members of the majority sample. This means that the respondents feel ready to identify themselves with the company and are looking for security to be provided by long term employment, regular earnings and by steady career advancement. The cluster analysis of the questionnaire differentiates four groups: Leaders, Specialists, Entrepreneurs and Employees. The results showed that the Leaders have high capacities of leadership, creativity and autonomy. The Specialists show highly developed functional capabilities in general and they seem to like challenges. The Entrepreneurs have outstandingly high scores concerning autonomy and entrepreneurial creativity. The members of the cluster of the Employees are characterised by a high expectation of security and stability and by low levels of managerial capability and entrepreneurial creativity. Discriminant analysis was applied to select the distinguishing features that can set the clusters apart from each other. The motivations, values preferences and work values inventory will consolidate the differences between the clusters of the career anchors. Using the method in high education within special trainings could be the practical utilization of the study. On the basis of the results a questionnaire can be compiled, which could help uncertain students relating to their carriers and future orientation containing information in connection with their carrier orientation, motivation, value preferences and work value.
JEL code: I21
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In search of clusters
7-17Views:129The 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.
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A Quantitative Assessment of the Rurality and an Efficiency Analysis of Emigration in Romania
39-46Views:153In 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
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HOUSEHOLDS’ FOOD CONSUMPTION BEHAVIOUR DURING COVID-19 PANDEMIC: EVIDENCE FROM RURAL HOUSEHOLDS IN SOUTH AFRICA
Views:45The 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.
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Economic modelling and analysis of Hungarian wheat production in the marketing year 2011
63-67Views:136In 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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Agricultural development and government expenditures in the new EU countries
21-35Views:128The 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.
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Consumer attitudes and preferences about the pork meat in Hungary (based on cluster analysis)
151-158Views:243In 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.
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Comparing ols and rank-based estimation techniques for production analysis: An application to Ghanaian maize farms.
125-130Views:126This 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
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Driving factors behind Uganda’s rural pastoral communities’ social-economic status; a comparison between Karamoja Region and Ankole Region
Views:341This study aimed to analyze the social-economic status of Karamoja, Uganda’s largest pastoral region that has consistently stood out as the least developed region in Uganda. The region is naturally endowed with a variety of minerals such as marble, limestone, gold, etc. This has attracted (both local and international) artisanal and small-scale miners into the region whose contribution to the region’s development seem negligible. The Majority of the residents derive their livelihoods from livestock as a primary source. Three major rural development aspects i.e., social, ecological, and economic dimensions were assessed and compared to the Ankole region, one of Uganda’s rural pastoral regions that have over time registered progress in livestock production and regional development. Based on this comparison, similarities and differences can be identified and used to build the foundation for the development of a SWOT analysis that will focus on the Strength, weaknesses, opportunities, and threats that exist in this rural pastoral region of Karamoja. This study creates a cornerstone for developing sustainable rural development strategies based on a focused analysis of sociological factors that are fundamental in unmasking the ground reality in the region.
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Determinants of consumers’ purchase intention for local organic food in Urban Sri Lanka
70-78Views:306Organic food marketing has currently become one of the most developing markets around the world, including Sri Lanka. Thus, the main aim of this study was to recognize the determinants of the purchase intention for local organic food among urban Sri Lankans. A consumer survey was conducted covering capital cities of six urban districts in Sri Lanka; Colombo, Galle, Gampaha, Kandy, Kurunegala, and Rathnapura using a sample of 600 consumers, from December 2016 to May 2018. Out of the 600 consumers, only 114 were purchasing organic food by that time, and those 114 consumers were chosen as the sample for this study. Descriptive statistics, principal component analysis, and multiple linear regressions were used as data analysis techniques. According to the results, majority of the respondents belongs to the 31-45 year age category. While most respondents had an education up to GCE Advanced Level, significant percentages of respondents were educated up to graduate and post-graduate levels. Also, most of the respondents received a monthly total income in between Sri Lankan Rupees 85,001 and 162,000 (approximately US dollars 473 – 900). Although one-fourth of the consumers are purchasing organic food at that time, a higher number is willing to buy them in future. As per the principal component analysis, health and environment consciousness, certification of organic food, marketing aspects of organic food, common parameters of organic food, awareness on the value of organic food, and market availability of organic food were the extracted determinants. The results of multiple linear regressions revealed that market availability, common parameters of organic food, and health and environment consciousness are the dominating variables of the purchase intention of organic food consumers. Thus, expanding the market conditions for organic food, establishing a better marketing system, conducting effective food awareness programs, and value addition for organic food are the identified timely essential recommendations.
JEL CODE: Q13, Q19
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A structural equation model: Greece’s tourism demand for tourist destination
75-83Views:259Structural equation model (LISREL 8) was applied to test the causal relationships between tourist travel motivations and tourist destination.A survey containing Likert scale questions was conducted to collect data from 100 tourists who had travelled to Greece’s tourist destination. With the help of factor analysis, four dimensions were identified for scales used in the study: travel cost satisfaction, tourism product, tourism product attributes, and tourism product management. Results indicated that the travel cost satisfaction of tourists has a positive influence on tourism product, tourism product attributes and tourism product management. Moreover, our results suggested that the tourist demographics has a positive influence on tourism product and tourism product attributes and has an insignificant relationship with tourism product management. Based on our findings the tourist demographics has not influence on tourism product management. However, these findings suggest that both the private tourism and the governmental tourism sector should develop a better management of tourist destinations so as to develop a stronger attraction of tourism, better amenities, a better accessibility, an appropriate image, to make tourism competitive and to keep tourism product prices at a reasonable level. The implications of the tourism demand model can be used for the public environmental policy-making process based mainly on reasons of interest, ideology or understanding.
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Statistical and multi-criteria decision making analysis for consumer attitude and behavior: in case of Mongolian organic food market
31-38Views:416Nowadays, consumers have a full of knowledge on products and services, and their daily consumption of healthy and environmentally friendly products has been increasing. Therefore, businesses need to implement green marketing activities, so they need to be aware of environmental issues and consumer needs while maintaining financial sustainability and competitiveness. (Belz & Karstens, 2002). Examples are the rapid growth of organic food products, as consumers are concerned with their health and environmental issues in their day-to-day purchasing decisions. Over 20 years ago, in 1999, the market for organic food products sales was $ 15.2 billion, while sales in 2017 increased to $ 97 billion, indicating that the world's organic food market is growing rapidly. The organic food market is growing by $5 billion a year, and as of 2014, 172 countries have organic food farm land according to the “The World of Organic Agriculture”. Since the market for organic products is a new market for Mongolia, previous surveys in are relatively small. Therefore, this is aimed at conducting a study on behavioral approaches of consumers of organic food products in Ulaanbaatar. We have run statistical and multi-criteria decision making analysis based on given data of consumers. We also apply Harker’s techniques for complete and incomplete evaluation matrices which are defined from consumers decision making. Numerical examples are presented.
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