The aim of this work was to analyze and find out the relation between socioeconomic characteristics of Albanian consumers and their behavior toward agrofood products with ethical values. Organic, fair-trade and typical/traditional agrofood products were ethical products object in this study. Information was collected by face-to-face interviews with 311 adult Albanian consumers concentrated mainly in the central, south-eastern, south-western and northern part of Albania. The Logit model is used to study correlation between consumers' behavior and their socio economic characteristics such as: origin, age, gender, marital status, family size, children and elder presence, family monthly income, employment, level of education and their knowledge about ethical agro-foods. Logistic regression is used to predict a categorical (usually dichotomous) variable from a set of predictor variables. Analyses demonstrated that only "Education", "Age" and "Knowledge level about ethic food" have a significant contribution to their behavior (p ≤0,05). The correlation between Albanian consumers' behavior and last three variables is significant.
Public transport is considered important to reduce air pollution. For this reason, it is very important to have efficient public transport lines. The purpose is to analyze 15 public transport lines in Albania by using the DEA model. The analysis is based on information about citizens' perceptions of five attributes (frequency, cleanliness, possibility to find a seat, punctuality, and ticket price) of public transport lines. The information is provided by conducting a survey of 120 users of public transport lines. The results indicate that it's important to improve some attributes to increase the use of public transport.
In this study published the influence of two nutritional factors of milk production and the use of the production functions in the farming sector. The production, profit, and management (period 2008-2012) with a number of heads of: 103, 111, 176, 118, 139 respectively in 2008, 2009, 20010, 20011, 2012
The use of mathematical models in financial and economic analysis of the impact of factors on agricultural productivity growth is a priority in the contemporary developments of the agricultural sector. The main purpose of this study is the selection of the best structure for the use of production factors in the cultivation of four different varieties of tomato (Merit, Fine, Samos and Laura) in the greenhouses using a multivariate mathematical model. Hence, our research is focused in identifying and analyzing the most important factors affecting the level of greenhouse tomato culture productivity in 16 municipalities of Lushnja district. Based on the level of importance, the correlation analysis listed those factors: manure (0.369), fertilizer (0.149), water (0.189), and liquid crystalline fertilizer (0.096). Moreover, focusing on the actual levels of production factors used by each municipality, we estimated the maximum yield (113q/are), and the most likely production that could be achieved (100q/are), based on a rational use of factors. On the basis of the obtained results, the maximum unused reserves were calculated for each municipality in the district of Lushnja. The obtained results constitute a strong basis for budgeting and forecasting activities not only for the tomato crop but also for other agricultural cultures cultivated in other municipalities in the district of Lushnja and in Albania.
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