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Effect of Training on Small-Scale Rice Production in Northern Ghana
13-20Views:145Training in modern farming methods enables farm households in developing countries to improve agricultural productivity. Notwithstanding the efforts of governmental and non-governmental organisations to provide farmers with agricultural training, productivity remains low. The existing literature provides little empirical evidence of the effect of training on agricultural productivity in Ghana. This study therefore seeks to bridge this gap by investigating small scale rice farmers’ participation in agricultural training programmes and its effect on productivity in northern Ghana. A treatment effect model was used to account for sample selection bias. The results indicated that participation in training increased with the number of extension visits, group membership, access to credit and the degree of specialisation in rice production. Furthermore, total output and labour productivity both increased with participation in training but the relationship with land productivity (yield) was insignificant. On average, participation in training was associated with 797kg increase in rice output, while labour productivity increased by 7.3kg/man-day. With the exception of farm capital, all the production inputs had a positively significant relationship with output suggesting sub-optimal use of capital in production. The study concludes that farmers’ training needs are not adequately being met while inadequate capital is constraining farm output. Increasing access to extension service and involving farmer-based organisations in the design and implementation of training programmes will enhance participation and farm performance.
JEL Classification: C21, D24, Q12
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The economic efficiency of apple production in terms of post‑harvest technology
99-106Views:123This study analyses how the level of postharvest technology’s development influences the economic efficiency of apple production with the help of a deterministic simulation model based on primary data gathering in producer undertakings. To accomplish our objectives and to support our hypotheses three processing plant types are included in the model: firstly apple production with no postharvest and prompt sale after the harvest, secondly parallel production and storage combined with an extended selling period and thirdly production and entire postharvest infrastructure (storage, sorting-ranking, packing) with the highest level of goods production and continuous sales. Based on our results it can be stated that the parallel production (plantation) and cold storage, so the second case is proved to be totally inefficient, considering that the establishment of a cold storage carries enormously high costs with resulting a relative low plus profit compared to the first type of processing plant. The reason for this is that this type is selling bulk goods without sorting-grading or packaging; storage itself – as a means of continuously servicing the market – is not covered properly by the consumers. Absolute efficiency ranking cannot be established regarding the other two processing plants: plantation without post-harvest infrastructure resulting lower NPV, but a more favourable IRR, DPP and PI as developing a plantation and a whole post-harvest infrastructure.
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Factors influencing the gross value added in the sheep production chain
141-146Views:175The competitiveness of the sheep sector in East Europe has been decreasing from year to year. The value added in the sector is not generated in the countries as a high proportion of the lambs are exported. For example, in Hungary, 95% of the lambs, unnecessary for replacement, are sold at an average weight of 21 kg and are slaughtered abroad. A stochastic model was constructed to investigate the connections between the cycle phases of the mutton production. Three modules were distinguished, the lamb production, fattening and slaughtering-processing sub-modules. The aim of our study was to identify the gross value added generated in the three sub-modules and to analyse the main factors influencing its volume using the conditions in Hungary as an example. The major hypothesis of our research was that the profitability of the production chain is mainly determined by the breed. The results showed that, considering market prices, the gross value added in the processing module was mostly influenced by the number of lambs sold per ewe per year at the bottom level of the mutton product chain. The next most important factors were the weight gain in the lamb producing and fattening sub-modules and dressing percentage in slaughtering-processing sub-module. Contour plots were constructed which help to describe the relationship among analyzed factors. Using the contour plots, the gross value added for different combinations of these factors might be forecast.
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Free Trade Agreement: Impacts on the Costa Rican Dairy Market
83-90Views:164According to the Free Trade Agreement with Central America, Dominican Republic and United States signed in 2008, milk import tariff reliefs will stagger down from 59,4% to 0% by 2025. This study determined milk demand and supply curves in the Costa Rican domestic market. Several variables and two different models were conducted to estimate milk demand and supply: Ordinary Least Squares and Two Stages Least Square simultaneous equations. In both cases, demand was estimated by income and milk prices as independent variables; while supply was estimated by input and milk prices. Nonetheless, the best fit was obtained by TSLS model because it accounts for endogeneity among price and quantity. Based on this model, if domestic prices are supposed to decrease due to increasing quantities of imported lower-priced milk, then national demand would increase (9% average) and national production is expected to decrease (26% average). The gap between national milk demand and supply is expected to be filled by milk imported from United States; assuming 0% tariff, no transaction costs and constant share of exports within national production.
JEL Classification: F1, Q17
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Board diversity and firm value; mediating effect of CSR of listed oil firms in Nigeria
Views:215In this empirical study, the mediating effect of corporate social responsibility (CSR) on the nexus between corporate value and board diversity is investigated. However, hypotheses developed for this study were tested with annualized panel dataset of eight (8) Nigerian listed oil and gas firms in the upstream sector spanning 2012 to 2019. Stakeholder theory was used to underpin the study. The study employed three indicators for board diversity (board professionalism, board nationality and board gender), Tobin’s Q and amount spent on CSR. The panel regression results show that looking at the indirect effect in Model One; board diversity has no significant effect on firm value. However, empirical findings indicated that CSR exerts a significant and positive relationship with corporate value. Considering Model Two, the results show that CSR plays a pertinent role in establishing the nexus between corporate value and board diversity, this finding is congruent with stakeholder theory. The study recommends that environmental sensitive firms should maintain an appropriate and balance diverse board as it plays a pertinent and significant role in establishing the nexus between stakeholder relationship and the firms, which can also serve as a mechanism to mitigate manager's opportunistic tendencies behind CSR investment.
JEL code: L95, M14, M41
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An application of the error correction model in analyzing the long run equilibrium between Ghana’s exports and imports
57-62Views:126This study investigates the long-run relationship between Ghana’s exports and imports for the period of 1948 to 2012. Using the Engle Granger two-step procedure we find that Ghana’s exports and imports are cointegrated. However, the slope coefficients from the cointegration equations were not statistically equal to 1. Furthermore, application of the error correction model reveals that 1% increase in the imports will significantly result in 0.56% increase in exports, suggesting that the exports’ responsiveness to imports is low. The estimated error correction coefficient suggests that 32% of the deviation from the long run equilibrium relation is eliminated, leaving 68% to persist into the next period. These results suggest persistence in the trade deficit and an option of curbing the deficit is to re-order the relationship between imports and exports with a view to reducing imports demand. These results imply that though Ghana’s past macroeconomic policies have been effective in bringing its imports and exports into a long run equilibrium, it is yet to satisfy the sufficient condition for sustainability of foreign deficit.
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Traditional retail outlets or supermarkets: A probit analysis of shoppers in Trinidad and Tobago
69-76Views:184The purpose of this study is to identify consumers’ retail outlet choice for Roots and Tubers in Trinidad and Tobago between traditional and modern retail outlets, and also to find out what influences consumers’ shopping preferences for one or the other retail format. A Probit model, where both demographics and store attributes were used to predict outlet choice was the methodology utilized in the study. The results obtained suggest that the traditional outlets are the preferred place to purchase Roots and Tubers with 71% of the sample selecting these outlets. Of the fifteen independent variables analyzed in the Probit model, four demographic variables – age, employment status, ethnicity and income – and two latent factors of the store attributes labeled “value” and “location” were statistically significant. Of note, older buyers are 12% more likely to choose the traditional outlet while there is a 16% higher probability that persons in the higher income brackets will choose supermarkets as their retail outlet. These results provide an insight into the choice of outlet of shoppers and the strengths and weaknesses of the two retail formats.
JEL code: Q13, M31, C25
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Vertical price transmission analysis: the case of milk in the Slovak dairy sector
89-96Views:171Testing for nature price transmission and calculating elasticities of price transmission are important areas of research for providing insights into market efficiency issues. Symmetric or asymmetric price transmission has been the subject of considerable attention in agricultural economics. The concept of the price transmission is an important area of the research particularly in relation to the assessment of impact on the welfare of the vertical entities. The main goal of the paper is an analysis of the price transmission and its exploitation in case of price elasticity estimation in dairy sector. Work investigates vertical price transmission of milk in the Slovak agri-food chain. The research is based on Vector Error Correction Model (VECM) of the selected commodities at producer, processor and consumer level and the estimation of the parameters specified in the model. Moreover the paper determines the coefficient of elasticity of price transmission (EPT).
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Urban Food Crop Farming and Farm Households’ Food Security Status in Oyo State, Nigeria
23-28Views:165Food 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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Hungarian dairy and beef production sector technical efficiency comparsion using DEA
131-138Views:195To examine and compare the technical efficiency of dairy sector and the beef sector, this research introduced the main indicators of milk and beef production in the world, EU and Hungarian aggregates. Based on the data it can be said that the milk and beef production of Hungary does not occupy any significant position in the world as well as in the European Union neither today nor even in the past. If Hungry must compete in the European counties and international market, their dairy sector must focus to increase of their production efficiency as the key breakthrough point. This paper we compared technical efficiency of both dairy and beef sectors in total, for the year 2014 and 2015 separately and based on the farm size. The specific objectives of the research are: comparing dairy and beef farms efficiency in Hungary. Based on the results, we can determine which sector in Hungary is more effective. The second objective is to compare the efficiencies of both the sectors in 2014 and 2015 separately and from the results we can determine which year was more effective in terms of production efficiency and the third objective of the research is technical efficiency comparison of certain economic sizes for both sectors. In the research, we used (KOVACS, 2009) deterministic (DEA) model adapted to the Hungarian dairy farms and beef farms. For the dairy farms milk and dairy products as well as meat (other income). The input factors originated from the domestic AKI - FADN database. Summarizing the results of the research it can be conclude that the dairy sector is more effective than the beef sector in Hungary. In terms of years compared 2014 was more effective for both sector as compared with 2015. In regards to the farm size almost the same result in evaluating the scale of efficiency, which means that large economies can in most cases, manage resources more efficiently than small farms. In the examined years, based on the results of the DEA model, the VRS technical efficiency of the test for these two years was 72.90% for the dairy farms and 63.60% for the beef farms, which means that the dairy sector is more efficient than the beef sector in Hungary. The VRS technical efficiency of the research was 82.10% in 2014 and 75.10% in 2015 for the dairy farms and 77.50% in 2014 and 68.90% in 2015 for the beef farms, which means that both the dairy sector and the beef sectors followed the same trend and were more efficient in 2014 compared to the efficiency in 2015. The large size dairy farms were most effective in Hungary in the examined period (90.90%). VRS technical efficiency for small farms is 88% and the total number of small, the technical efficiency medium farms was 72.80% For the beef sector VRS technical efficiency for small farms is 71.30% and the technical efficiency medium farms was 74.40% and 70% of the beef meat producing farms in Hungary are medium sized. So, the conclusion is the small size dairy farms have a higher VRS efficiency than the small size beef farms whereas medium sized beef farms had higher VRS efficiency than the medium size dairy farms. As a conclusion, both dairy and beef sectors in Hungary have the potential to overcome technology and knowledge constraints and attain the upmost attainable productivity level through improvements in; farmer volume of production i.e. output, beef cattle technologies, and advertising, and the efficiency of the technology transfer process.
JEL Code: Q13
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The most relevant factors and trends in energy cooperation between Kazakhstan and China, focused on renewable energy sources (RES)
Views:500This paper analyses the good political and legal environments, mutually beneficial strategic policy, along with level of economic development and growth, superior geographical conditions and cultural integration degree of the important effecting factors of the energy cooperation between Kazakhstan and China. By using the main points listed above this article refers to related trade and investment theories, and it’s divided into two aspects: Kazakhstan's export of Chinese energy products with time series data 1998-2014 and China's investment in Kazakhstan's energy sector with time series data 1998-2016 to construct the vector autoregressive model (VAR).We selected relevant variables and data to construct an econometric model from the perspectives of trade and investment to make an empirical analysis on the influencing factors of energy cooperation between Kazakhstan and China. Our results show that China's demand for large-scale market and for opening to the outside world as well as Kazakhstan’s great energy potential are the most important factors their cooperation. It can be stated that in our days Kazakh legislation is suitable for promoting the Chinese energy investments, but in the long run it would be beneficial to mobilize national capital especially in RES investments and research. In the end, we found the most important reserves in competitiveness of electricity and heat (both from fossil and renewable energy sources) are power grid consolidation and waste heat utilization in the short run.
JEL CODE: F14; Q43
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Examination of enterpreneurship ecosystem in Debrecen from the direction of open innovation spaces
51-59Views:131Innovation is not just a technology, but it is rather a comprehensive vision of what the future should look like and which requires changes in many ambits. Innovation is driven by people’s needs, ambitions and dreams, and it is necessary that people at different positions in the society change the way they work and live. Innovation, as a result of human interactions, often fails because people do not understand each other, as they belong to different worlds which have their own languages and cultures. While innovation system-like thinking recognizes that the needs are a good mix of factors for innovation, it is hard to establish the perfect mix beforehand: innovation systems and policies need to be adaptive” (Klerkx, Mierlo & Leeuwis 2012). I tried to bring this complex vision to our future. The actuality of the topic is provided by the fact that we are in the period of the development of digital industrial revolution, on the peak of the technology innovations, slowly resulting in the revolutions of the machines. These technological innovations, trends, equipment or new technological achievements often make our work easier, or they may replace us, and will bring changes transforming the world with them. At present era, the availability and use of the relevant knowledge is essential. In Western Europe and in other more developed countries different spaces provide places for evolving various trends, applying the acquired knowledge, e.g. development of Silicon Valley, polices, clusters, co-workings. These innovative spaces may form a bridge for evolving a global, international or regional technology and knowledge transfer, sharing our knowledge and developing our competitiveness. They may be the engine of a “new world”. The entrepreneurship ecosystem in Debrecen was investigated regarding the presence of open innovation spaces. Though Debrecen has already had open innovation spaces, it does not have space operating as HUB. „HUB is a global platform, where people from all corners of the planet connect and engage in collaborative action to realize enterprising ideas for a better world” (HUB GMBH 2012). Furthermore, I studied the fact that why the creation of HUB in Debrecen is reasonable concerning every sector, and what characteristics this space may have. In order to analyze my hypotheses, I used questionnaires made by Delphi survey. During the process experts of this field were asked in two turns. Selecting the experts occurred on the basis of Helix model.
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A disaggregated analysis of monetary policy effects on the agricultural sector in Nigeria
47-58Views:380This study provides a disaggregated analysis of the effects of monetary policy shocks on the agricultural sector in Nigeria from 1981Q1 to 2016Q4. The study utilized the generalized impulse responses and the normalized generalized forecast error variance decompositions from an underlying VAR model, which are order-invariant. The four monetary policy variables used in the study are interbank call rate, monetary policy rate, broad money supply and exchange rate; while the four agricultural sub-sectors investigated are crop production, forestry, fishing and livestock. The study also controlled for the general price level and other economic activities in the overall economy. The findings indicate that the aggregate agricultural sector and its various sub-sectors consistently responded negatively to unanticipated monetary tightening in most of the forecast horizon; while the immediate impact of monetary policy shocks is transmitted to the agricultural sector through the interest rate and money demand (credit) channels. The findings further indicate that apart from these two channels, the roles of monetary policy rate and exchange rate are non-negligible in the long-run. The role of money supply channel in spreading monetary policy shocks to the agricultural sector remained muted all through. The study concludes that the monetary authority should evolve interest rate, credit, and exchange rate policies that will promote the development of the agricultural sector in Nigeria.
JEL CODES: E52; N50; C22; N57
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The choice between conventional and organic farming. A Hungarian example
55-58Views:136The paper deals with organic produce in one of the largest and, concerning organic production one of the most diffused counties in Hungary, Pest County located in the north-central part of the country. Factors influencing farmers’decision on adopting or not e.g. farm size, farm type, location, structure, market for organic products, existence of organic AEM were analysed. Hypotheses based on previous empirical literature were tested by a model explicitly accounting for the effects of farm-specific variables like age, education, size of farms and share of rented land. Logit model was estimated on a cross-section data set of Hungarian farmers for the period 2007. It appears that education has a positive impact on the choice between conventional and organic farming, and, the size of the farm in hectares has a negative effect on this choice.Age and some general considerations on environmental friendly technologies do not have a significant effect on choice between conventional and organic farming.
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Optimal crop plan of cooperative farmers in Osun state, Nigeria: a linear programming approach
Views:216Optimal 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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Allocation of structural funds before and after the brexit: An exercise in the economics of cake-sharing
69-71Views:188What impact has the Brexit on the allocation of money from the structural funds? As the UK is a net contributor to the EU budget, the budget for Structural and Cohesion Policy will shrink. This will have an impact on the allocations of the structural funds to the remaining members of the EU. In order to estimate the allocation of the structural funds to the remaining EU members an allocation model is developed in this article. It appears that the model results do not only show the sharing of the cake, but also the size of it.
JEL Code: F00, Q00
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Farm-retail price transmission in Malaysian pork sector
87-92Views:161This study intends to determine the farm-retail price transmission behaviors of pork in Malaysia to serve as a good implication for pork pricing system in Malaysia. Using monthly data from January 1997 to December 2008, markup pricing model, Houck, and ECM approaches were estimated. While many previous studies found that farm-retail price transmission is asymmetric, this study encountered different result where the findings in both the Houck and ECM approaches suggested that the Malaysian pork farm-retail price transmission is symmetric. A change in farm price of pork is likely to have similar direction in change of retail price of pork in Malaysia. The pricing system of pork can therefore be further described by the estimated price transmission elasticities (that derived from the symmetric mark-up pricing model) where retail price is very sensitive to the changes in farm price. A change in farm price is expected to result in a bigger change in retail price of pork while other things remain unchanged.
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Potential of vertical and horizontal integration in the Hungarian fish product chain
5-15Views:198After the economic and political transformation, the output and resource utilization of the Hungarian fish production sector decreased less than in other livestock sectors, and it managed to preserve its income position. As a consequence of the relatively low level of the implemented innovative developments, though, for all the EU assistance available the cooperation efforts did not prove to be very efficient. The relatively favourable income position of several farms led them to a kind of “leisureliness”, and as a result, the level of the applied production technology in many cases did not even reach that of the 1970s. All these circumstances led to the degradation of the innovations and to the expiration of the horizontal and vertical integrations in the sector, leaving the commercial and cooperation forms being typical in an otherwise stabile classical free-market environment. Problems were further increased – amongst other things – by the volatile cereal prices, 27% VAT rate, and the introduction of road toll. After long years, certain farms were to face losses, and the decline of profitability at sectorial level, thus the need for innovation and producers’ co-operations has become imperative. As a solution option to these problems, a model of a product chain containing both horizontal and vertical elements and comprising the entire sector has been developed. Present study introduces this new model, which is established on foreign examples primarily, but takes the Hungarian specialities into account too.
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The operation of the Hungarian broiler product chain
47-50Views:146The general objective of this paper is to present the inner connections of the broiler product chain and the process of value generation in the economic situation of 2007. I introduce the input-output model of the broiler product chain adapted from macro-economic analysis, in which I calculated the direct connections of the product chain phases and between the national economic branches outside the chain. Then I point to the disproportion of the product chain through the profit distribution. Moreover, to evaluate the process of the value generation I demonstrate the value added generated along the value chain (year 2007). On the basis of the results 825 EUR of value added is realized to one ton of ready product (chicken meat), from which the major portion is shared by processing. The paper also determines the added value and the major factors influencing its ratio within the product chain.
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Automated valuation model for livestock appraisal in loaning practice
37-42Views:105Actualization of loan security (mortgage) value is of major importance in Hungarian loaning practice. Due to the recession in economics, the value of agricultural portfolio of banks has decreased a great deal, though not to such a great extent as other branches of the economy. Depreciation of estate stock is compensated with additional collateral security. Besides other stock, often temporarily and out of necessity, livestock is presented as additional collateral security. From the loaners’ point of view, however, the registered inventory value does not guarantee security. The authors have set up an appraisal method giving professional guidance through automated valuation as to how dairy stock can be used as mortgage for loan security. Hereby we are to present the details of both the theory and the methodology of a model that is appropriate for the valuation of dairy livestock on an MS Excel basis. Thus, the process is fast and has more prospects for all parties in the loaning or leasing business. The method involves the features of livestock technology, the expected realized profit, and breed stock value. By the implementation of this method, the loaners can calculate the value of loan recovery (loan to value) with acceptable security.
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Touristic Motivation and Lifestyles of Hungarian Domestic Tourists Correlation Study
47-54Views:187Motivations are closely interwoven with personality theories. According to researchers the object of motivation theory is primarily to describe what is common in people, whereas lifestyle theories highlight the individual differences among people. Tourism travel decisions constitute a special type of consumer decisions in which case the tourist has to make a choice among the personal tourism services on offer according to his/ her individual needs, but still as a segment specific product corresponding to common motivations. Consequently, certain elements of lifestyle and motivation theory appear in touristic decisions as well. Having perused the relevant trade literature, I came to the realisation that there have been very little research done in the area of travel motives in recent years. The examination of the correlation between motivation and lifestyle complemented with model application is a field belonging to applied marketing science which can be regarded as uncharted territory in tourism research. Domestic tourism accounts for a significant portion among the national income sectors. That is why it is of key importance to be aware of the correlation between the habits and needs of the local population and the factors influencing travel decisions. Applying the results of my research I endeavoured to define and model the lifestyle, needs and motivations of domestic tourists as the factors influencing their decisions. With the results of the investigation, I also wished to provide some guidelines for the creation of tourism supply in view of product development and communication.
JEL Classification: Z32 tourism and development
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Impact of Terrorism on Agricultural Business in Borno State, Nigeria
117-124Views:250This 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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Modeling multifunctionality of agriculture at a farm-level: The case of kerkini district, Northern Greece
59-64Views:122Multifuncionality has become a central concern at both conceptual and empirical levels. In this study, a comparative evaluation of the economic performance of conventional and multifunctional farms (mainly organic farms) was conducted for the Lake Kerkini region (North Greece) with the use of mixed integer non-linear programming method. The economic performance of farms was evaluated in terms of farm income, resource allocation, production level and production mix. The results indicate that multifunctional farms have overall better economic performance and young farm managers are keener to adopt multifunctional farming than the older ones. Differences between the model results and the observed facts are attributed to the structural characteristics of the farms, along with the CAP measures and the existence of multiple objectives, beyond maximization of net farm returns.
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Sport as power of integration among minorities
57-62Views:190The opportunities and development of skills in the field of sports may open a door to social inclusion that also facilitates social integration. Based on the funding provided by the national sports strategy and integration, the research project can be developed further on and implemented. The efforts of the European Union (EU) and of the European Council towards the member states are carried out through its directives, and the analyses of these documents provide guidelines for the elaboration of the Hungarian Roma strategies. Funding is one of the key factors for the elaboration of Roma integration strategy and its efficiency. The research highlights upon the way of thinking and mentality of Roma young people about sports currently, and on the importance of sport affairs for them. Also, reflects on the factors which promote motivation to have successful career goals and achieve those based on the program. The sports integration survey suggests conclusions on the role of mentoring in Roma youngsters’ studies, in sports, in building social relations, the role model motivating for them, or on the supportive role of the parents or even the lack of it in their families. The expected result would be a survey on sporting habits of the Roma minority and disadvantaged youth and their positioning in education through which we could develop programs to promote the integration of the Roma minority and to improve their general circumstances. The National Social Inclusion Strategy (Ministry of Human Capacities, National Social Inclusion Strategy 2011–2020) provides the financial background of the integration project whose application also prevails in the field of sports integration. The aspirations of the EU provide guidance to the amount of funding and its allocation manners. The National Roma Self-Government’s (NRSG) sports integration project and best practice has provided the basis for the sports integration research project. The survey is examining the recreational habits, motivational factors, study levels among the Roma minority and the disadvantaged young people. Based on the questionnaire, we can draw some conclusions about the development of sports integration programs. The issues cover the field of sport activities of young people aged between 9-18 and on the significance of sport opportunities for break-out for the Roma youth, and on the effect of role models for them. The sports integration projects treat simultaneously the development of education and sport, furthermore they are significantly linked to each other. The target group of the questionnaire survey are mainly the Roma and disadvantaged people. The sample item number is 1216 completed questionnaires from the whole territory of the country, from 16 schools. As shown in the survey, the sport and the level of education are significantly related to each other. Those who do any sports, obtain higher level of achievement in their studies. It can be revealed by the fact that through mentoring the sportsmen can promote their school performance and sport development together. The research highlights on another observation, namely, it also confirms the legitimacy of sports integration program and points out the direction for development. For accomplishing the goal of social inclusion through sport we have at hand the appropriate concept. It is, furthermore necessary to strengthen and to develop the mentoring program, which ensures the lower drop-out rate among the participants. The effect of Sports integration is motivating for the Roma and for the disadvantaged youth. The use of sport as a tool for social inclusion proves to be of utmost importance.
JEL code: Z23
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The connenction between global innovation index and economic well-being indexes
87-92Views:458We study the connection of innovation in 126 countries by different well-being indicators and whether there are differences among geographical regions with respect to innovation index score. We approach and define innovation based on Global Innovation Index (GII). The following well-being indicators were emphasized in the research: GDP per capita measured at purchasing power parity, unemployment rate, life expectancy, crude mortality rate, human development index (HDI). Innovation index score was downloaded from the joint publication of 2018 of Cornell University, INSEAD and WIPO, HDI from the website of the UN while we obtained other well-being indicators from the database of the World Bank. Non-parametric hypothesis testing, post-hoc tests and linear regression were used in the study.
We concluded that there are differences among regions/continents based on GII. It is scarcely surprising that North America is the best performer followed by Europe (with significant differences among countries). Central and South Asia scored the next places with high standard deviation. The following regions with significant backwardness include North Africa, West Asia, Latin America, the Caribbean Area, Central and South Asia, and sub-Saharan Africa. Regions lagging behind have lower standard deviation, that is, they are more homogeneous therefore there are no significant differences among countries in the particular region.
In the regression modelling of the Global Innovation Index, it was concluded that GDP per capita, life expectancy and human development index are significant explanatory indicators. In the multivariable regression analysis, HDI remained the only explanatory variable in the final model. It is due to the fact that there was significant multicollinearity among the explanatory variables and the HDI aggregates several non-economic indicators like GII.JEL Classification: B41, I31, O31, Q55
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