Ethical consumption in Russia: Profiles, Factors, and Perspectives

2015 ◽  
pp. 79-103 ◽  
Author(s):  
M. Shabanova
Keyword(s):  
Multinomial Logit ◽  
Ethical Consumption ◽  
Factors Affecting ◽  
Logit Regression ◽  
Ethical Consumers ◽  
Representative Study ◽  
Multinomial Logit Regression ◽  
Different Types

The article presents the results of the first representative study of ethical consumption in Russia. The level and profiles of ethical consumption, as well as the main types of ethical consumers have been identified. Factors affecting the partition of individuals into the different types of consumers have been defined using the multinomial logit regression. On this basis, the paper draws implications on the potential and the conditions of expansion of ethical consumption in Russia.

scholarly journals The Impact of Market Outlets Choice on Beekeepers’ Income in Rural Poor: A Case Study of Badakhshan Province

2021 ◽  
Author(s):  
Jamshid Yolchi
Keyword(s):  
Family Size ◽  
Multinomial Logit ◽  
Rural Poor ◽  
Factors Affecting ◽  
Logit Regression ◽  
Multinomial Logit Regression ◽  
The Government ◽  
The Impact

This research carried out to uncover the effect of beekeeping on the income of rural poor and to which extent that market outlet choice affects the income of beekeepers. The findings of Multinomial Logit regression, from 129 questionnaires of 4 districts indicate that there is no relationship between market outlet choice and income of beekeepers. The income of beekeepers is mostly affected by their family size and working experience. But the factors affecting to choose the home selling market outlet is very different from those of three other channels. In order to promote the income of beekeepers, it’s recommended that the government and other involved NGOs work on arrangements on wholesale opportunities for beekeepers. Because over 102 out of 129 samples have indicated that their products aren’t sold out on time. It means that there is a huge opportunity of filling the gap of honey demand in Afghanistan by promoting the links between producers and buyers.

scholarly journals The Impact of Market Outlets Choice on Beekeepers’ Income in Rural Poor: A Case Study of Badakhshan Province

2021 ◽  
Vol 4 (2) ◽  
Author(s):  
Jamshid Yolchi ◽  
Keyword(s):  
Family Size ◽  
Multinomial Logit ◽  
Rural Poor ◽  
Factors Affecting ◽  
Logit Regression ◽  
Multinomial Logit Regression ◽  
The Government ◽  
The Impact

This research carried out to uncover the effect of beekeeping on the income of rural poor and to which extent that market outlet choice affects the income of beekeepers. The findings of Multinomial Logit regression, from 129 questionnaires of 4 districts indicate that there is no relationship between market outlet choice and income of beekeepers. The income of beekeepers is mostly affected by their family size and working experience. But the factors affecting to choose the home selling market outlet is very different from those of three other channels. In order to promote the income of beekeepers, it’s recommended that the government and other involved NGOs work on arrangements on wholesale opportunities for beekeepers. Because over 102 out of 129 samples have indicated that their products aren’t sold out on time. It means that there is a huge opportunity of filling the gap of honey demand in Afghanistan by promoting the links between producers and buyers.

Who Makes a Compromise? Adopting Pledges in Czech Coalition Agreements

2020 ◽  
Vol 28 (5) ◽  
pp. 728-743
Author(s):  
Petra Vodová
Keyword(s):  
Statistical Analysis ◽  
Multinomial Logit ◽  
Issue Salience ◽  
Logit Regression ◽  
Multinomial Logit Regression

Translating party pledges into coalition agreements is a crucial goal of after-election coalition negotiations. Full adoption is the best result for the bargaining party, while limited adoption is a kind of compromise forced by coalition partners, and non-adoption can be seen as a defeat. The question of what undermines the compromise and defeat in coalition agreements is, however, rarely answered. This article formulates hypotheses concerning the effect of consensual pledges among coalition parties, and party and voter-issue salience on parties’ ability to adopt their pledges and adopt them fully or partially. The effect of party level characteristics is considered. The analysis is provided on a new dataset of narrow Czech coalition party pledges in three governments established after elections in 2006, 2010 and 2013. Multinomial logit regression is used for the statistical analysis.

scholarly journals IMPACT OF A PREVIOUS AUDIT ON TAX AGGRESSIVENESS OF A FIRM TAXPAYER

2019 ◽  
Vol 1 (3) ◽  
pp. 15
Author(s):  
Ivan Rona Penata
Keyword(s):  
Multinomial Logit ◽  
Effective Tax Rate ◽  
Tax Rate ◽  
Tax Aggressiveness ◽  
Logit Regression ◽  
Multinomial Logit Regression ◽  
Audit Result ◽  
Tax Audit ◽  
Return Data

This study aims to analyze the effect of a previous tax audit on tax aggressiveness of a firm taxpayer who submits Overpayment Annual Tax Return. The degree of tax aggressiveness itself uses Delta Effective Tax Rate as a proxy, generated from Annual Tax Return data from 2011 to 2016. Using multinomial logit regression as a method, this study found that a previous Tax Audit and tax audit result made a firm prefer to choose a positive Delta Effective Tax Rate.

scholarly journals Wage mobility in Europe. A comparative analysis using restricted multinomial logit regression

2008 ◽  
Vol 44 (1) ◽  
pp. 115-129 ◽  
Author(s):  
Dimitris Pavlopoulos ◽  
Ruud Muffels ◽  
Jeroen K. Vermunt
Keyword(s):  
Comparative Analysis ◽  
Multinomial Logit ◽  
Logit Regression ◽  
Multinomial Logit Regression

scholarly journals Deciding Where to Buy: Store Choice Behaviour of Indian Shoppers

2002 ◽  
Vol 27 (2) ◽  
pp. 13-28 ◽  
Author(s):  
Piyush Kumar Sinha ◽  
Arindam Banerjee ◽  
Dwarika Prasad Uniyal
Keyword(s):  
Marketing Strategies ◽  
Future Research ◽  
Store Choice ◽  
Research Directions ◽  
Logit Regression ◽  
Multinomial Logit Regression ◽  
Retail Business ◽  
Choice Pattern ◽  
Different Types ◽  
Future Research Directions

Store choice is a decision that a shopper is fairly involved in. It is important for a store to understand this behaviour for developing marketing strategies to attract and keep its clientele. It is found that shoppers choose the store based on many aspects that could be classified as primary and image based. It is also found that the importance of each of these aspects changes with the kind of store the shopper wants to visit. In the Indian context where the shopper does not have much variety in store format, the type of store is recognized by the kind of product the store deals in. The paper is an attempt to understand this behaviour of the shopper. The shoppers are explored for the primary reasons for choosing a store. Then, using a factor analysis, the several image dimensions are classified. Further, using multinomial logit regression, the store choice pattern is studied across different types of store. Implications for the managers in the retail business are drawn and future research directions have been highlighted.

scholarly journals Factors Influencing Level of Satisfaction with Growth Enhancement Support Scheme among Farm Families in Kaduna State, Nigeria

1970 ◽  
Vol 19 (1) ◽  
pp. 57-65
Author(s):  
S Umar ◽  
PO Oteikwu ◽  
H Shuaibu ◽  
PK Duniya ◽  
IW Tambari
Keyword(s):  
Regression Model ◽  
Multinomial Logit ◽  
Descriptive Statistics ◽  
Growth Enhancement ◽  
Farm Families ◽  
Logit Regression ◽  
Factors Influencing ◽  
Multinomial Logit Regression ◽  
Level Of Satisfaction ◽  
Logit Regression Model

This study assessed factors influencing the level of satisfaction with the Growth Enhancement Scheme among farm families in Kaduna State, Nigeria. Two hundred and ninety-six beneficiaries were selected randomly from four randomly selected wards. Descriptive statistics and multinomial logit regression model were used to analyze the data obtained. Results computed from a Likert Scale indicated that majority of the farmers were either satisfied (47.6%) or highly satisfied (14.3%) with the scheme; while 28.6% were dissatisfied and 4.1% were highly dissatisfied. The level of satisfaction with the scheme increased among families with higher farming experience (coefficient = 0.05) and education (coefficient = 0.008); while it decreased with age (coefficient = -0.394) and extension visit (coefficient= -0.328). The study recommended that the scheme be extended for another cycle of five years to consolidate on its achievements and alleviate the bottlenecks before handing over to the private sector.Keywords :GESS, inputs, satisfaction, subsidy.

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