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Determinants of Mongolian Economic Growth
61-66Views:305Mongolia is the second largest landlocked country, which has unique economic condition. This paper aims to examine Mongolian economic growth from 2000 until 2016 and identify its determinants. The growth was studied based on the growth rate of National Domestic Product. Initially, 20 macroeconomic variables are chosen and tested for the economic growth determinators such as; unemployment rate, human capital index, import growth, inflation rate, export growth, and interest rate, etc. The results showed that the growth rate of dollar exchange, inflation rate, and the growth rate of export were the main factors (81.4%). Mongolian GDP per capita and poverty rate were compared with other Asian lower-middle-economies, which are classified in the same classification as Mongolia. An increment of average salary was adjusted by the inflation rate, which showed the purchasing power declined in 2015. Statistics of Central Bank of Mongolia, Central Intelligence Agency, World Bank’s statistics, and the statistics from National Statistics Office of Mongolia are used for the research.
JEL Classification: H0, H30, H6, H70
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Examination of pig farm technology by computer simulation
25-29Views:162Agricultural production is among the riskiest production activities. Similarly to other branches of agriculture in animal breeding the finished product is the result of complex procedures. The biological technological procedure, the creation of the product is affected by an outstanding number of environmental factors which also cause uncertainties. In the North Great Plain Region of Hungary, sows, gilts and slaughter pigs are produced on a corporate farm. The reliable operation data of this company provide a stable basis for and estimating future costs and revenue and their distributions. Monte Carlo methods are one of the generally accepted tools for modeling risks. The significant independent variables, their ranges and probability distributions, and the correlation between them were inputs to the model. The values of the variables were produced using a random number generator. The computer simulation was performed using @Ris (PalisadeCorporation) software. The study concentrates on the factors affecting the number of off spring (piglets). Model inputs were the mating, mortality and farrowing rates; the costs and the income values based on these rates have been analysed as the output data of the model.
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Impact of economic globalization on the human trafficking in the Greater Mekong Sub-region countries
123-130Views:411This study examines the impact of economic globalization on the human trafficking inflows into the Greater Mekong Sub-region (GMS) countries. The paper empirically tests for a cross-section of six countries, including Cambodia, the Yunnan Province of the People’s Republic of China (PRC), Lao People’s Democratic Republic (Lao PRD), Myanmar, Thailand, and Vietnam. Employing the Pooled OLS estimator, as the theory predicts, the economic globalization increases trafficking inflow into the GMS. However, only foreign direct investment (FDI) affects the degree of trafficking of persons, while the effect of trade is insignificant. Moreover, Exchange rate, Migration, Population and Democracy induce higher rates of trafficked persons, whereas Gross Domestic Product (GDP) and other factors, such as education, vocational training and micro-finance through village development funds decrease this problem in the region. Gross National Income per capita (GNI per capita) and rule of law do not have any significant effect on human trafficking.
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Economic analysis of some agrotechnical factors in maize production - a Hungarian case study
5-16Views:449This paper focuses on the economic and statistical evaluation of the production technology findings of the polyfactorial maize production experiments carried out between 2015-2017 at the Látókép Experiment Site of the University of Debrecen, Faculty of Agricultural and Food Sciences and Environmental Management. The examined agrotechnical factors included irrigation, previous crop, tillage, crop density, hybrid and N nutrient supply, while the effect of different crop years was taken into consideration. In addition to descriptive statistical methods, we used multivariate regression analysis during the statistical evaluation. In the course of the evaluation, we examined three models that differed in terms of tillage methods and the consideration of crop year. In our best fit model, the factors were 71% responsible for the change in yield value. We carried out efficiency and comparative analyses in the course of the economic evaluation.
Averaged over the three examined years, it can be stated that nutrient supply and crop year had an outstanding effect on yield, while irrigation had a minimal effect. However, global warming may justify irrigation in the future, not only from a biological point of view, but also from an economic aspect.
Ideal tillage is also greatly affected by crop year, too. Altogether, of the examined tillage systems, subsoiling proved to be the best from an economic point of view.
Our investigations confirm that it is better to perform intensive farming under more favourable market conditions. The optimum of N fertilisation is probably outside of the range we examined, if the extreme changes in maize and fertiliser prices are ignored.JEL Classification: Q16, Q12, Q13, O32
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On tests for long-term dependence: India ’s international tourism market
109-113Views:136There 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.
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On tests for long memory process behavior of international tourism market: Thailand and India
95-99Views:144In 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.
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A structural equation model: Greece’s tourism demand for tourist destination
75-83Views:323Structural 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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The effect of working capital on profitability of poultry egg enterprise in Osun State, Nigeria
Views:124This study investigated the effect of working capital on the profitability of poultry egg enterprise. Primary data were collected from 180 poultry egg farmers using two-stage sampling technique. Data were collected on the socio-economic characteristics such as age, gender, educational qualification, farming experience and flock size owned, quantities of inputs and outputs. Descriptive statistics, farm budgetary technique and ordinary least square model were used to analyze the data collected. The results from descriptive statistics show mean values of 42 years, 9 years and 5 persons for age, years of experience and household size, respectively. Majority of poultry egg farmers (52.2%) used their personal savings to fund their businesses while, some had access to loan from co-operative societies (37.2%), from SEAP microfinance (6.7%) and from banks (3.9%). Poultry egg producers invested their working capital on feeds (64.8%), rearing of poultry birds from day old chicks to point of lay (14.8%), account receivables (13.6%), drugs & vaccines (2.4%) and variable overheads (4.4%). A total cost of ₦5,494,927.04k was incurred by the poultry egg producers. Cost of feed accounted for 71.89% of the total cost of production. A total revenue of ₦9,388,555.60k and the net returns of ₦3,893,628.56k were realized. The net farm income per bird from the enterprise was ₦1,698.05k while the gross margin per bird was ₦1,795.32. The ordinary least squares regression estimates revealed that inventory, account receivable, operating cycle and flock size have significant effect on the profitability of poultry egg enterprises. The study concluded that poultry egg enterprise is profitable and working capital has a significant effect on the profitability of poultry egg enterprise. In light of the findings, the study recommended the expansion of the poultry flock size as well as reduction in the number of days of inventories, account receivables and operating cycle in order to increase the profitability of poultry egg enterprise.
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Comparative yield risk calculations of sour cherry and pear varieties regarding risk aversion
111-116Views:132Fruit production in the world is increasing continuously. Though in the past few years China and some South-American countries have extended their fruit producing areas, Europe remains to be one of the greatest fruit producers in the world. In the middle of Europe Hungary has to face several challenges as competing for market. Since yield risk has an important role in Hungarian fruit production we investigate the yield risk of two of the most important sour cherry varieties (’Újfehértói fürtös’ and ’Oblacsinszka’) grown in Újfehértó (1984-2005), moreover, two of the most important pear varieties (’Bosc Beurre’ and ’Williams’) grown in Bánfa and Zalasárszeg (1984-2009). In the examined periods we analyse yield risk with different comparative methods such as E,V-efficiency, first and second degree as well as generalized stochastic dominance methods. We conclude that the production of sour cherry variety ’Oblacsinszka’ in Újfehértó is more preferable compared to the other sour cherry varieties and pear variety ’Bosc Beurre’ in Bánfa is more advantageous than the other pear varieties and sites.
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On tests for long-term dependence: India’s international tourism market
77-81Views:117There 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.
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A Value chain analysis of Sesame (Sesame Indicum L.) in South Omo Zone, Southern Ethiopia
Views:242Sesame is the main cash crop in Ethiopia and it is mainly produced in northern and southern part of the country especially South Omo Zone. In the zone sesame is highly produced, but it production is not known regionally and at a country level. So this study was aimed to research sesame value chain of the Zone. Simple descriptive statistics and value chain approach were employed for data analysis during this study. It attempts to deal with mapping and identifying sesame value chain actors and their roles, examines marketing channel, cost margin structure and assessing challenges and opportunities within the study area. The results of the study indicated that out 5589.3 quintals were supplied to markets for various actors and five alternative marketing channels were identified to transact the sesame product through intermediaries. The most important volume of sesame (4900.8 quintals) was marketed through channel V and the lowest volume in channel I. producers get the highest share in channel IV and the lowest in channel II. Barriers to entry traders into the market are that the capital requirement and therefore the wholesalers govern by volume transacted and internal control criteria within the market. Fertile land and high demand for the product were essential opportunity. Pests and disease, Low level of input utilization, Shortage of input supply and high price of inputs were the challenges of sesame production whereas lack of market information, price variability, delay of buyers, low bargaining power and poor product quality were the challenges sesame marketing.
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Occupational choice and agricultural labour efficiency in Nigeria: Impact of ICTs
111-117Views:178Increased labour efficiency is imperative in the developing world and particularly in Nigerian Agriculture which should be in its leaping phase. The interaction between labour efficiency and ICTs is inevitable in the realisation of the nation’s agribusiness potentials. Following a vivid descriptive statistics on main occupations and access to ICTs among the Nigerian populace, this study assessed effects of ICTs on the probability that a working aged Nigerian chose agricultural occupation over non-agricultural occupations. In doing so, the study analysed the effects of access to ICTs on agricultural labour efficiency in Nigeria. Data used for the analysis were drawn from the Nigerian General Household Survey-Panel held in 2010-2011 period. Analytical framework for the study include: Logistic Regression and Multiple Regression Models. Results show that access to mobile phones, using the internet to obtain information, and using the internet to send or receive mails were significant factors of the probability that a Nigerian chose agriculture or its related activities as a main occupation. Again, access to personal computers, use of the internet for e-banking, e-learning and for reading e-newspapers had significant impact on agricultural labour efficiency in Nigeria. The study recommends that labour policies should find a place for the role of ICTs, particularly the internet.
JEL. Code: Q12
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Determinants of credit access of cocoa farmers
73-78Views:323Access to credit is one of the critical areas that are of prime interest to development practitioners, agribusiness entrepreneurs and agricultural economists, mainly access to credit by farmers in order to increase their production and also reduce poverty. This study sought to analyze the determinants of credit access among cocoa farmers in the Asunafo North of the Ahafo Region of Ghana. The multistage sampling procedure was used to collect data from 100 cocoa farmers with the aid of a questionnaire. Sources of credit, factors influencing access to credit, and constraints to credit were analyzed with the aid of descriptive statistics, multiple linear regression, and Kendall’s coefficient of concordance respectively. The results of multiple linear regression revealed that, age, marital status, education, experience, and family size were significant factors that influenced access to credit. The constraints analysis with the aid of Kendall’s coefficient of concordance showed that, high interest rate was highly ranked with a mean score of 1.93 whilst the need for a guarantor was least ranked with a mean score of 7.40. Based on the results, the study recommended that a policy aimed at expanding formal and semi-formal financial institutions credit portfolio to embrace cocoa farmers by finding alternative to collaterals and also reducing the interest rate will improve credit access with a positive externality effect of poverty reduction among cocoa farmers in the study area.
JEL Classification: Q14
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THE PROFIT EFFICIENCY OF MORINGA OLEIFERA PRODUCTION IN OSUN STATE, NIGERIA
Views:201This study examined the profit efficiency of Moringa oleifera production by farmers in Osun State, Nigeria. Primary data were obtained from 150 respondents. Multistage sampling procedure was used for selecting respondents. The data were analyzed with the aid of descriptive statistics, budgetary analysis and stochastic frontier production function. The findings revealed that male predominate moringa enterprise with about 55.3% male, most producers fall between the age bracket 41-50years with a mean age of 44.92 (± 13.168) years and the average farm size is 0.3 hectares whilst indicating that most producers had less than 0.1 hectares of land. Moringa production had a benefit cost ratio of ₦5.852, profit margin of ₦0.182, expense structure ratio of ₦0.107, net return on investment ₦4.857, rate of return of ₦5.482 and profitability ratio of ₦0.981. The average profit efficiency of moringa producers was 18.73% on the profit frontier. Family labour, hired labour and transport cost were significant and had positive coefficient while the seed cost, pesticide cost, level of education and farm size are also significant but bears negative coefficient. The level of education and farm size are amongst the inefficiency variables considered. This study concludes that Moringa oleifera production is highly profitable but producers have not been able to maximize profit efficiency. It therefore recommends that producers improve on adding value to moringa products and extend their channels of distribution considering the cost incurred on transportation.
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Empowerment of rural women farmers and food production in Rathnapura district in Sri Lanka: a household level analysis
105-112Views:270Women 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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Corporate branding effects on consumer purchase preferences in Serbian telecom market
23-36Views:133This research is carried out to know the role of corporate branding in mobile phone network along with different influencing factors involved in the purchase of mobile telephone connections. This paper discusses corporate branding from consumer’s point of view that how much they value it and what type of role it has.This is a quantitative study. A questionnaire is used in order to investigate corporate branding and other influencing factors involved in purchase decision of the customers. Population selected for this study are Belgrade University students which is the most of Serbian youth segment and is a valuable source that gives precise information with high probability about market preferences according to the Research of Serbian republic statistical office. Primary data are obtained by collecting data from questionnaire and interview, while the secondary data are collected from various reliable sources. Primary data provide reliable content in accordance with a secondary data obtained by Serbian republic statistical office and with a Research of competitor and consumer preferences insight provided by Telenor Company. The analysis of the data has been performed in accordance with the chosen theories and summarized in a table, which serves as a tool for deriving reliable and relevant conclusions. The sample size was determined by conducting a primary study and defining the variance of primary sample and the intended number of samples was selected carefully and randomly from the population. Then the validity and reliability of the questionnaire was determined. The used questionnaire in this research consisted of 7 common, and 30 specialized questions which were supporting the hypotheses of the research. Data was analyzed using the frequency percent techniques, and in the chapter related to the deductive statistics, one-sample t test was used to analyze and approve/disapprove the questions supporting the research hypotheses. The analysis of this study reveals different set of results while making comparison between literature and empirical. It investigates the relative importance of the corporate branding to the customers in mobile phone telecommunication industry while making purchase decision. The findings of this study provided useful information which is helpful not only for the students but also for the brand managers of mobile telecom operators that how they can improve their company’s strategic position for longer period of time through corporate branding to trigger more customers and for a good brand.
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Analysis of household crop commercialization in Nigeria
Views:306Nigeria is experiencing a gradual shift from subsistence to commercialized agriculture, thereby increasing involvement and activities at different nodes of agribusiness. Participation of farmers in markets is an important determinant of well-being and development, and one of the pathways towards economic growth. This study analysed household crop commercialization in Nigeria. The secondary data used were the General Household Survey (GHS, 2018) Wave 4. Data were analysed using descriptive statistics, household crop commercialization index (HCCI) and ordered probit regression model.
Mean age of Nigerian farmers was 50.04 years (±15.22), majority (85.68%) were male, married (82.51%), and 72.14% had formal education. Farming is viable in all the geopolitical zones and majority (87.64%) of the farmers were from the rural sector, holding a mean total plot size of 12.61(±15.63) hectares, and planted 3 crops on the average. The most produced crop categories are cereals (46.75%), tubers (20.70%) and legumes (19.00%); legumes and cereals are highest in the North, and tubers in the South. Subsistence households were 32.81% (HCCI=0), only 1.71% of the households were fully commercial (HCCI=100), while semi-subsistence households (0≤HCCI≤100) constitute 65.48%. Years of education (p<0.05) and crop production in North East and North West zones (p<0.01) constrain commercialization, while at p<0.01, crop production in the rural sector and the South zones, and increased land holding are the drivers of household crop commercialization in Nigeria.
Nigerian farming households are mainly semi-subsistence and are diversified in crop production. Nigeria relies more on market participation of the semi-subsistence households, through their marketable surplus, to feed her teeming population and for exports. Further attention on rural infrastructure development in all geopolitical zones and awareness creation on producing market oriented products will increase agribusiness activities. This will generate green decent jobs that will take unemployed youths off the streets of urban centres. This is in tune with the economy diversification bid and the new Nigeria Economic Sustainability Plan of the Federal Government of Nigeria.
JEL CODE – Q13
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The role of social media in gastronomy industry
95-103Views:1323Considering the rapidly changing business environment, staying competitive is a key issue and challenge for companies in the 21st century. The criteria of a company’s success and competitiveness is the changing behavior of the different economic actors and its influence. Through the information society came to the fore, the use of diverse information technology tools and methods has become a significant influence factor in terms of the entrepreneurs or company management and also the customers or other partners. Due to the rapid expansion of new technology developments, the role and importance of social media is continuously increasing. Also statistics show that one of the most regularly used IT tool is the social media and the different web 2.0 applications. The current study is intended to provide a better understanding how social media can emphasize the competitiveness of companies and format the consumer behavior in a special sector – the rapidly developing gastronomy industry. This paper presents an empirical research about the role of social media in the above mentioned industry based on the primary data which are gathered through a survey performed in Hungary. Beyond the empirical results presented, the paper also aims to provide some recommendations for research methodology – based on the international literature review and the Authors’ own experiences – both in gastronomy industry’s and customers’ point of view. Through the analysis the research hypotheses were examined and the most important correlations were identified between the survey results and the Authors’ initial supposition.
JEL Code: D83, L83, M31, Z33
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ONLINE AND E-LEARNING BEST PRACTICES, NEEDS AND HABITS FOR THE INTERNATIONAL AGRIMBA NETWORK
Views:166From the literature part of this research, it shows that, some of the most popular Learning Management Systems (LMS), such as Moodle, Canvas and Blackboard, are used by many universities and colleges worldwide and their popularity is steadily increasing as more institutions adopt online learning. The usage statistics of LMSs by universities can be influenced by a number of factors, such as the size of the university, the specific requirements of the institution, the availability of alternative solutions, and the preferences of faculty and students. In addition, the popularity of LMSs among universities may change over time as new systems enter the market or as existing systems improve and evolve. Based on the number of customers, Moodle's three biggest competitors in the learning management systems category are Google Classroom with 11.70%, LinkedIn Learning with 8.87% and TalentLMS with 5.16% market share.
The most frequently used functionalities of the e-learning system are: study content creation, course management and content library, and the least frequently used are integration with other systems, multilanguage utility, plagiarism checking, accessibility to people with disabilities and personalized learning. Similarly, the most popular functionalities are course management, study content creation and assessment and testing. Respondents least liked the functions of integration with other systems, webinars, accessibility for inclusion, and video hosting and streaming.
Lectures or slides are most often uploaded to platforms, followed by written materials and links, then videos, pictures and tables. Judging by the answers received, the majority of respondents are either completely satisfied (34%) or moderately satisfied (42%) with the e-learning systems they are using now.
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The competitiveness of rural areas in the Republic of Tatarstan
89-96Views:129This paper analyses the main factors influencing the regional competitiveness of rural areas in the Tatarstan Republic. Firstly, 19 variables related to the socio-economic situation in the Tatarstan Republic were analysed, these having been taken from the Statistics Committee of the Tatarstan Republic. Principal component analysis (PCA) was then used to determine the weights of 10 indicators that have an effect on the level of regional competitiveness. Factor weights are used as weights in the summation of the standardised scores of variables that have an impact on competitiveness. The major factors influencing the level of regional competitiveness are the level of economically active population, investment in housing and the level of education. The following results were obtained: one of the 44 regions is very highly competitive and two are highly competitive; two of 44 regions have a medium level of competitiveness and 39 regions have a low level of competitiveness.
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Farmers’ experience in adoption and usage of ICT solutions for agriculture in the Republic of Macedonia
25-30Views:287The adoption of new of Information and Communication Technologies (ICTs) in farming activities becoming crucial for developing countries in order to meet the challenges of rapidly growing populations, urbanization and arable agricultural land declination. Because of it, each farmers’ organization or farmer has to concern their agricultural products and services more towards modernized and ICT related routine. The attempt has been made to analyze the reaction of the Macedonian farmers towards ICTs as a source of reliable and timely information about e-banking, online purchasing/selling, marketing, input and output optimization, increased revenue, remote farm management process etc. Semi-structured questionnaire was used for interviewing 132 semi-experienced and experienced farmers that use ICTs as sample for the research. The data were analyzed using appropriate statistics tool like correlation and Rank Based Quotient (RBQ). The findings showed that farmers stressed the cost of ICTs, lack of training, trust level in the government institutions, and lack of ICT infrastructure are thresholds for ICTs adoption and use in agriculture. This research contributes to understand the adoption and use of ICT, identify the constraints associated with ICT use and propose recommendations towards the improvement of ICTs for agriculture in the Republic of Macedonia.
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Consumers’ Awareness, Perception and Interest in Labelling of Processed Foods in Ghana: A Case of ‘Sobolo’
Views:434Food labels contain much information that helps consumers to make decisions based on the details which are of much importance to them. The study assessed awareness, perception and factors that influence consumers’ interest in labelling of sobolo in the Kumasi Metropolis of Ashanti region, Ghana. Systematic random sampling was used to select 300 respondents from five randomly selected sub-metros and data were collected using a semi structured questionnaire. Descriptive statistics such as frequencies, tables and percentages were used to summarize the socio-economic characteristics of respondents. Perception index was used to assess the perception statements on the product labelling and the Logistic Regression Model was used to analyze the factors that significantly influence consumers’ interest in labelling of sobolo. Results of the study showed that majority (97.3%) of respondents were not aware of labelled sobolo but 67% was interested, though with low awareness. The estimated perception index (2.8) showed that consumers had positive perception about labelling of sobolo. Among the socio-economic characteristics; age, education, household income and household size and respondents’ perception on health and safety aspects of sobolo were found to significantly influence interest in labelling of sobolo. In conclusion, the study found that, consumers would prefer different information on labels and thus their interests are significantly influenced by different factors. It is recommended that efforts should be made to promote the awareness, education and interest in labelling of food products to enhance production, consumption and sustainability of the food industry.
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Effect of Quality Assurance Deficit on Market Competitiveness for Export Commodities and Household Income in Nigeria
103-108Views:120The Nigerian’s agricultural sub-sector contributes about 37 percent of her Gross Domestic Product (GDP) and employs about 65 per cent of the adult labour force. It is thus the major source of food and fibre for the nation. However, there are increasing concerns about the quality and level of safety of many of the agricultural export commodities, particularly in the European markets due to the composition of high level of unauthorized pesticides. This is a major challenge to the level of market competitiveness for these commodities in the international markets. This study therefore examined the effect of quality assurance deficit on market competitiveness and household income levels. Trends in Nigeria’s agricultural export trade between 1980 and 2014 were examined and emphasis was placed on cowpea, dried maize, melon seeds and palm oil. Descriptive and qualitative statistical methods were used to analyze the data. Quantitative statistics included the use of econometric models. Results indicated that there was an increase in the general price level of the commodities at the international market over time. The aggregate market demand for each of them dropped sharply in the last one decade even when the market price per unit increased steadily. This negatively affected the households’ average income level as returns on sales of export commodities declined. Huge quantities of the commodities were then forced to be sold at the local markets at cheaper prices. This development negatively affects the consumptions patterns of the exporters as they now have reduced disposable income. Appropriate agencies of government need to be awake to their responsibilities of assessing and certifying the quality of the Nigerian agricultural commodities before exporting them abroad. This will help to further boost the level of consumer confidence in these export commodities especially at the international markets.
JEL Classification: Q13
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Forecasting with X-12-ARIMA: International tourist arrivals to India and Thailand
43-61Views:173Forecasting is an essential analytical tool in tourism policy and planning. This paper focuses on forecasting methods based on X-12-ARIMA seasonal adjustment and this method was developed by the Census Bureau in the United States. It has been continually improved since the 1960s, and it is used by many statistics agencies and central banks. The secondary data were used to produce forecasts of international tourist arrivals to India for 2007-2010 and also these data were used to produce forecasts of international tourist arrivals to Thailand for 2006-2010. From these period the results confirm that the best forecasting method based on the X-12-ARIMA seasonal adjustment is X-12-ARIMA(0,1,2)(0,1,1), X-12-ARIMA(0,1,1)(0,1,1) and X-12-ARIMA(2,1,0)(0,1,1) for India and the best forecasting method based on this method is X-12-ARIMA(0,1,1)(0,1,1) and X-12-ARIMA(2,1,0)(0,1,1) for Thailand. Furthermore this method predict that international tourism arrivals to India for 2007–2010 will growth at a positive rate as same as in this during period the number of international tourists arrival to India will be 5,079,651 million, 5,652,180 million, 6,224,480 million and 6,796,890 million, respectively. Also this method predict that international tourism arrivals to Thailand for 2006-2010 will growth at a positive rate as same as in this during period the number of international tourists arrival to Thailand will be 12,211,033 million, 12,699,532 million, 13,187,591 million, 13,674,669 million and 14,161,998 million, respectively. If these results can be generalized for future year, then it suggests that both the India government sector and the Thailand government sector also the private tourism industry sector of these country should prepare to receive increasing numbers of international tourist arrivals both to India and Thailand in this period.
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Technical efficiency of dairy farms in rural Nigeria
Views:156The study assessed the technical efficiency of Nigerian dairy farms. Information on 73 dairy farms was obtained from the General Household Survey (GHS Panel) for the year 2018-2019 wave, and the method of analysis employed include descriptive statistics and Data Envelopment Analysis Model. The findings show that not all the farms sampled are technically efficient, which means they can still utilize their input resources more effectively. The average level of technical efficiency of sampled farms was 83%; this suggests from the technical point of view that there exist an opportunity for expansion of milk production and revenue using the same level of inputs at present and putting to use effectively available technologies by 17%. Furthermore, results also show that farms that practice grazing systems, those located in the northern part of Nigeria and small farm sizes, have higher T.E. overall.
JEL Classifications: Q12, Q1, R15
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