Pub Date : 2019-12-31DOI: 10.19041/apstract/2019/3-4/9
N. Mensah, E. Yeboah, A. Donkor, F. Tutu, Richard Kaanye Dier
Access 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
{"title":"Determinants of credit access of cocoa farmers","authors":"N. Mensah, E. Yeboah, A. Donkor, F. Tutu, Richard Kaanye Dier","doi":"10.19041/apstract/2019/3-4/9","DOIUrl":"https://doi.org/10.19041/apstract/2019/3-4/9","url":null,"abstract":"Access 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. \u0000JEL Classification: Q14","PeriodicalId":32569,"journal":{"name":"Apstract Applied Studies in Agribusiness and Commerce","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88815366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-31DOI: 10.19041/apstract/2019/3-4/1
Attila Bai, Zoltán Gabnai, I. Kovách, Ibolya Czibere, J. Nagy, D. Sulyok, Donika Maloku, P. Balogh
This 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 Latokep 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
{"title":"Economic analysis of some agrotechnical factors in maize production - a Hungarian case study","authors":"Attila Bai, Zoltán Gabnai, I. Kovách, Ibolya Czibere, J. Nagy, D. Sulyok, Donika Maloku, P. Balogh","doi":"10.19041/apstract/2019/3-4/1","DOIUrl":"https://doi.org/10.19041/apstract/2019/3-4/1","url":null,"abstract":"This 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 Latokep 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. \u0000JEL Classification: Q16, Q12, Q13, O32","PeriodicalId":32569,"journal":{"name":"Apstract Applied Studies in Agribusiness and Commerce","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88532762","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-31DOI: 10.19041/apstract/2019/3-4/10
Muhammad Fahid Muqaddas, Z. Szakály
This study examines the effects of various types of consumers’ innovativeness on the consumer shopping styles. The results highlight that social, hedonic and cognitive innovativeness have an impact on consumer shopping styles, but functional innovativeness doesn’t influence consumer shopping styles. The study is based on sample of university students from Rawalpindi and Islamabad and its outcomes pave grounds for marketers to develop a better understanding for marketing new products and services. New product and services can be designed to magnetize innovative consumers. Integrated marketing communications should be planned according to the shopping styles of innovative consumers. Youngsters being a sizeable market segment in Pakistan, therefore, this study will guide the marketers to understand this segment better. This study discovers the association between different kinds of innovative consumer and consumer shopping styles.
{"title":"Impact of consumer innovativeness on shopping styles: a case study of university students from Pakistan","authors":"Muhammad Fahid Muqaddas, Z. Szakály","doi":"10.19041/apstract/2019/3-4/10","DOIUrl":"https://doi.org/10.19041/apstract/2019/3-4/10","url":null,"abstract":"This study examines the effects of various types of consumers’ innovativeness on the consumer shopping styles. The results highlight that social, hedonic and cognitive innovativeness have an impact on consumer shopping styles, but functional innovativeness doesn’t influence consumer shopping styles. The study is based on sample of university students from Rawalpindi and Islamabad and its outcomes pave grounds for marketers to develop a better understanding for marketing new products and services. New product and services can be designed to magnetize innovative consumers. Integrated marketing communications should be planned according to the shopping styles of innovative consumers. Youngsters being a sizeable market segment in Pakistan, therefore, this study will guide the marketers to understand this segment better. This study discovers the association between different kinds of innovative consumer and consumer shopping styles.","PeriodicalId":32569,"journal":{"name":"Apstract Applied Studies in Agribusiness and Commerce","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90246499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-31DOI: 10.19041/apstract/2019/3-4/8
Veronika Keller
Relying on customer trends healthy eating, which is one aspect of healthy lifestyle is becoming more and more popular. The aim of this study was to understand the healthy eating style of Hungarian adult consumers. An online empirical research with a sample of 1563 respondents (58.7% females and 41.3% males) was conducted in November 2018. Considering healthy eating two factors, namely the choice of healthy foods and the avoidance of unhealthy foods could be distinguished. A hierarchical cluster analysis was conducted to segment consumers. Four groups of consumers were identified: unhealthy food avoiders (20.3%), rejecters (11.8%), neutrals (26.2%) and healthy food choosers (14.7%). Unhealthy food avoiders are seniors. Rejecters are blue collar workers and have financial problems. Healthy food choosers live in families with children over 10 and do not have weight problems. This study is useful for the health sector and the government since targeted marketing programs can be planned to change eating behavior. To decrease overweight and obesity is the goal of all society, especially in developed countries. To increase the well-being of people and their quality of life educating social marketing campaigns are necessary with the aim of raising their awareness and explaining the basic principles of a healthy diet. JEL Classification: 112, M30, M39
{"title":"Segmenting Hungarian people based on healthy eating","authors":"Veronika Keller","doi":"10.19041/apstract/2019/3-4/8","DOIUrl":"https://doi.org/10.19041/apstract/2019/3-4/8","url":null,"abstract":"Relying on customer trends healthy eating, which is one aspect of healthy lifestyle is becoming more and more popular. The aim of this study was to understand the healthy eating style of Hungarian adult consumers. An online empirical research with a sample of 1563 respondents (58.7% females and 41.3% males) was conducted in November 2018. Considering healthy eating two factors, namely the choice of healthy foods and the avoidance of unhealthy foods could be distinguished. A hierarchical cluster analysis was conducted to segment consumers. Four groups of consumers were identified: unhealthy food avoiders (20.3%), rejecters (11.8%), neutrals (26.2%) and healthy food choosers (14.7%). Unhealthy food avoiders are seniors. Rejecters are blue collar workers and have financial problems. Healthy food choosers live in families with children over 10 and do not have weight problems. This study is useful for the health sector and the government since targeted marketing programs can be planned to change eating behavior. To decrease overweight and obesity is the goal of all society, especially in developed countries. To increase the well-being of people and their quality of life educating social marketing campaigns are necessary with the aim of raising their awareness and explaining the basic principles of a healthy diet. \u0000JEL Classification: 112, M30, M39","PeriodicalId":32569,"journal":{"name":"Apstract Applied Studies in Agribusiness and Commerce","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86225276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Agriculture is one of the most important sectors for the Mongolian economy. Also, self-sufficient food is a significant target that has a vital role in the food safety of people in Mongolia. But due to climate change, not proper management, and lack of technology, the Mongolian agricultural sector is facing several issues. So this article aims to find some potential solutions to improve this situation, especially for the crop production sector in Mongolia. To define the current situation of Mongolian agriculture, we used statistical data and reports and recent scientific articles as well as online sources. The current situation of Mongolian agriculture is defined using SWOT analysis reported by the Ministry of Food, Agriculture, and Light Industry of Mongolia. Based on this research, we discuss the possibility of using a drone to improve the performance of agriculture in Mongolia. As a result, a drone is effective in enhancing the performance of agriculture performed by householders. Also, two effective models that are based on ICTs to address soil erosion and harvest losses issues in Mongolia are defined in this article. JEL Classification: Q16
{"title":"How to improve the performance of agriculture in Mongolia by ICT","authors":"Yukitsugu Takahashi, Munkhtuya Dooliokhuu, Atsushi Ito, Kazuki Murata","doi":"10.19041/apstract/2019/3-4/7","DOIUrl":"https://doi.org/10.19041/apstract/2019/3-4/7","url":null,"abstract":"Agriculture is one of the most important sectors for the Mongolian economy. Also, self-sufficient food is a significant target that has a vital role in the food safety of people in Mongolia. But due to climate change, not proper management, and lack of technology, the Mongolian agricultural sector is facing several issues. So this article aims to find some potential solutions to improve this situation, especially for the crop production sector in Mongolia. To define the current situation of Mongolian agriculture, we used statistical data and reports and recent scientific articles as well as online sources. The current situation of Mongolian agriculture is defined using SWOT analysis reported by the Ministry of Food, Agriculture, and Light Industry of Mongolia. Based on this research, we discuss the possibility of using a drone to improve the performance of agriculture in Mongolia. As a result, a drone is effective in enhancing the performance of agriculture performed by householders. Also, two effective models that are based on ICTs to address soil erosion and harvest losses issues in Mongolia are defined in this article. \u0000JEL Classification: Q16","PeriodicalId":32569,"journal":{"name":"Apstract Applied Studies in Agribusiness and Commerce","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86029677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-31DOI: 10.19041/apstract/2019/3-4/2
Kudakwashe Svotwa, E. Svotwa, Thandiwe Rugube
The labour intensive nature of Zimbabwean agriculture demands that farmers meet excessive labour requirements, at the same time keeping labour costs as low as possible to guarantee profits and achieve maximum business performance. This study, carried through a questionnaire survey, at the Hunyani Matura Farm, in the Zvimba district of Zimbabwe between from October 2017 to March 2018, investigated the effect of employment mode on turnover and agri-business performance. Data collected from the participants, was compared with the information from secondary source documents. From the results temporary workers performed better than permanent workers and they cited problems of low wages, poor working conditions, high work targets, inequality in work allocation, job insecurity and constant shuffling. Temporary workers had higher turnover and turnover intentions than permanent workers. Temporary employment mode had a positiveeffect on agri-business performance. This study recommends the use of permanent employment mode on key positions like forepersons, stores persons and supervisors, and temporary employment mode on general farm tasks, while seasonal contracts were seen good for skill demanding operations such as tobacco seedbed establishment, tobacco reaping and curing and grading. A ccareful selection of employment modes reduces inequalities and unhealthy attitudes at work and improves on farm business performance. JEL Classification: Q12
{"title":"The influence of employment modes on employee turnover and agri-business performance: a case for Hunyani farm in the Zvimba district, Zimbabwe","authors":"Kudakwashe Svotwa, E. Svotwa, Thandiwe Rugube","doi":"10.19041/apstract/2019/3-4/2","DOIUrl":"https://doi.org/10.19041/apstract/2019/3-4/2","url":null,"abstract":"The labour intensive nature of Zimbabwean agriculture demands that farmers meet excessive labour requirements, at the same time keeping labour costs as low as possible to guarantee profits and achieve maximum business performance. This study, carried through a questionnaire survey, at the Hunyani Matura Farm, in the Zvimba district of Zimbabwe between from October 2017 to March 2018, investigated the effect of employment mode on turnover and agri-business performance. Data collected from the participants, was compared with the information from secondary source documents. From the results temporary workers performed better than permanent workers and they cited problems of low wages, poor working conditions, high work targets, inequality in work allocation, job insecurity and constant shuffling. Temporary workers had higher turnover and turnover intentions than permanent workers. Temporary employment mode had a positiveeffect on agri-business performance. This study recommends the use of permanent employment mode on key positions like forepersons, stores persons and supervisors, and temporary employment mode on general farm tasks, while seasonal contracts were seen good for skill demanding operations such as tobacco seedbed establishment, tobacco reaping and curing and grading. A ccareful selection of employment modes reduces inequalities and unhealthy attitudes at work and improves on farm business performance. \u0000JEL Classification: Q12","PeriodicalId":32569,"journal":{"name":"Apstract Applied Studies in Agribusiness and Commerce","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75718698","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-31DOI: 10.19041/apstract/2019/3-4/6
Liz Thach, J. Olsen
The purpose of this research study was to describe motivations and demographics of luxury wine buyers in the US market. An online survey was completed by 1081 US wine consumers, of which 473 were designated to be luxury buyers based on price spent on wine. Standard demographic and wine consumer scales were utilized for profiling. Results show that the luxury wine buyer is more likely to be male, aged 30 to 50, with a higher income and education level. Motivations of the luxury wine buyer are different than the non-luxury wine buyer, and reasons for purchasing luxury wine go beyond mere collecting. This research is one of the first to analyze the luxury wine consumer in the US market, and provides useful information for wine marketers and researchers on the profile of the luxury wine buyer in America. JEL Classification: M31
{"title":"Luxury wine: analyzing motivations of luxury wine buyers in the US market","authors":"Liz Thach, J. Olsen","doi":"10.19041/apstract/2019/3-4/6","DOIUrl":"https://doi.org/10.19041/apstract/2019/3-4/6","url":null,"abstract":"The purpose of this research study was to describe motivations and demographics of luxury wine buyers in the US market. An online survey was completed by 1081 US wine consumers, of which 473 were designated to be luxury buyers based on price spent on wine. Standard demographic and wine consumer scales were utilized for profiling. Results show that the luxury wine buyer is more likely to be male, aged 30 to 50, with a higher income and education level. Motivations of the luxury wine buyer are different than the non-luxury wine buyer, and reasons for purchasing luxury wine go beyond mere collecting. This research is one of the first to analyze the luxury wine consumer in the US market, and provides useful information for wine marketers and researchers on the profile of the luxury wine buyer in America. \u0000JEL Classification: M31","PeriodicalId":32569,"journal":{"name":"Apstract Applied Studies in Agribusiness and Commerce","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79567957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-31DOI: 10.19041/apstract/2019/3-4/11
Szlobodan Vukoszavlyev
We 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
{"title":"The connenction between global innovation index and economic well-being indexes","authors":"Szlobodan Vukoszavlyev","doi":"10.19041/apstract/2019/3-4/11","DOIUrl":"https://doi.org/10.19041/apstract/2019/3-4/11","url":null,"abstract":"We 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. \u0000JEL Classification: B41, I31, O31, Q55","PeriodicalId":32569,"journal":{"name":"Apstract Applied Studies in Agribusiness and Commerce","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90593359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-20DOI: 10.19041/apstract/2019/1-2/5
Csilla Kalmár-Rimóczi
Motivations 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.
{"title":"Touristic Motivation and Lifestyles of Hungarian Domestic Tourists Correlation Study","authors":"Csilla Kalmár-Rimóczi","doi":"10.19041/apstract/2019/1-2/5","DOIUrl":"https://doi.org/10.19041/apstract/2019/1-2/5","url":null,"abstract":"Motivations 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.","PeriodicalId":32569,"journal":{"name":"Apstract Applied Studies in Agribusiness and Commerce","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88987407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-12-20DOI: 10.19041/apstract/2019/1-2/6
N. Gombkötő
The 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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