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Determinants of consumers’ purchase intention for local organic food in Urban Sri Lanka
70-78Views:306Organic food marketing has currently become one of the most developing markets around the world, including Sri Lanka. Thus, the main aim of this study was to recognize the determinants of the purchase intention for local organic food among urban Sri Lankans. A consumer survey was conducted covering capital cities of six urban districts in Sri Lanka; Colombo, Galle, Gampaha, Kandy, Kurunegala, and Rathnapura using a sample of 600 consumers, from December 2016 to May 2018. Out of the 600 consumers, only 114 were purchasing organic food by that time, and those 114 consumers were chosen as the sample for this study. Descriptive statistics, principal component analysis, and multiple linear regressions were used as data analysis techniques. According to the results, majority of the respondents belongs to the 31-45 year age category. While most respondents had an education up to GCE Advanced Level, significant percentages of respondents were educated up to graduate and post-graduate levels. Also, most of the respondents received a monthly total income in between Sri Lankan Rupees 85,001 and 162,000 (approximately US dollars 473 – 900). Although one-fourth of the consumers are purchasing organic food at that time, a higher number is willing to buy them in future. As per the principal component analysis, health and environment consciousness, certification of organic food, marketing aspects of organic food, common parameters of organic food, awareness on the value of organic food, and market availability of organic food were the extracted determinants. The results of multiple linear regressions revealed that market availability, common parameters of organic food, and health and environment consciousness are the dominating variables of the purchase intention of organic food consumers. Thus, expanding the market conditions for organic food, establishing a better marketing system, conducting effective food awareness programs, and value addition for organic food are the identified timely essential recommendations.
JEL CODE: Q13, Q19
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Tourism performance of destinations based on settlement approach
63-68Views:115Recently in the regional development researches the attention draw to the way of measuring destination's development and competitiveness. The further development of the Hungarian Tourism depends on the regions, destinations' developments, their success in competitiveness and the ongoing innovation in tourism. The research of the Budapest Business School Institute of Tourism Department intends to elaborate a complex tourism destination indicator based on former researches and experiences.
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Composite indicators and sustainable development of regional agriculture applied to the Stavropol Territory in Russia
81-88Views:204The aim of this paper is to understand and evaluate agricultural sustainability in the Stavropol Territory by means of a composite indicator. In particular, the paper applies principal component analyses to calculate a composite sustainability index by integration of selected economic, social and environmental indicators. The results demonstrate the utility of analyzing several indicators in conjunction. The results also may indicate which variables influence development of regional agriculture. This information is important in order to design agricultural support policy and to implement an increase the sustainability of the agriculture sector.
JEL Code: O13, Q11
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Comparing the levels of expectation and satisfaction of Indian and foreign adventure tourists visiting India
5-13Views:370Purpose – The present study is undertaken to explore the difference between expectation and satisfaction level of Indian and foreign adventure tourists and the relationship between the levels of expectation and satisfaction of Indian and foreign adventure tourists.
Methodology – The data has been gathered from a sample of 300 adventure tourists comprising of 150 Indians and 150 foreigners. A principal component analysis with varimax rotation has identified 28 relevant items, which are broadly clustered into 6 significant factors. They are labeled as Aesthetic Appeal, Facilities, Accommodation, Information, Food and Safety and Security.
Findings – The findings of this study revealed significant differences between the levels of expectation and satisfaction of adventure tourists of Indian and foreign origin. The level of expectation among the Indian and foreign adventure tourist is higher and, comparatively, the level of satisfaction is lower. The level of expectation and the level of satisfaction of Indian adventure tourists are positively and significantly correlated with respect to variables such as Aesthetic Appeal, Facilities, Safety and Security and Accommodation. For the foreign adventure tourist, the level of expectation and level of satisfaction are positively and significantly correlated with respect to variables such as Information, Aesthetic Appeal, Facilities and Food.
Practical Implications – The research findings will help in the promotion of adventure tourism in India.
Originality/ Value – The identified factors can be used for similar kinds of studies at different destinations. The results of the study would be instrumental in developing strategies for ensuring more satisfied tourists. -
The competitiveness of rural areas in the Republic of Tatarstan
89-96Views:117This 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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Carbon dioxide emission trends and environmental problems in Central Europe
Views:212In this research, the effect of CO2 emission was measured in two different land-use types (Crop and Grassland) in Central European and V4 countries. The primary aim of this study is to identify the significant output of CO2 emissions from cropland and grassland. Secondary data collected from FAO (Food and Agriculture Organization of the United Nations) between 2010 and 2017. Mann-Whitney U test and odds ratio used to study the differences between the two country groups, and Principal Component Analysis was applied to create a performance map regarding the emission. A General Additive Panel model has analyzed the influence of area sizes and the regional differences on emissions. Results showed that the effect of grassland size is the primary factor in CO2 emission. A significant difference can only be found between CEU and V4 countries regarding grassland size effect on CO2 emission under grassland, which was rather small in the case of the V4 group but explained a larger part of the variance the of CEU countries. The odds of having higher CO2 from cropland to grassland was 2.43 times in the case of V4 compared to CEU countries.
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