scholarly journals Analyzing the Relationship between Environmental Planning Policies and Climate Change: Multinomial Logit Regression Model Evaluation of Tarrant County, Texas

2015 ◽  
Vol 03 (01) ◽  
pp. 1-10 ◽  
Author(s):  
Kiranmayi Raparthi
Keyword(s):  
Climate Change ◽  
Regression Model ◽  
Model Evaluation ◽  
Environmental Planning ◽  
Multinomial Logit ◽  
Tarrant County ◽  
Logit Regression ◽  
Multinomial Logit Regression ◽  
Logit Regression Model ◽  
The Relationship

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.

Do labour unions mitigate labour conflicts in China’s manufacturing firms?

2018 ◽  
Vol 29 (4) ◽  
pp. 470-486
Author(s):  
Hanbing Fan ◽  
Yiming Dong ◽  
Dezhuang Hu ◽  
Lianfa Luo
Keyword(s):  
Regression Model ◽  
Design Methodology ◽  
Manufacturing Firms ◽  
Monopoly Power ◽  
Employee Survey ◽  
Content Type ◽  
Labour Unions ◽  
Logit Regression ◽  
Logit Regression Model ◽  
The Relationship

Purpose This paper aims to examine whether labour unions influence labour conflicts and this mechanism is different in China compared with other countries. Design/methodology/approach This paper uses the data from the China Employer–Employee Survey that interviewed 1,208 firms and 10,087 workers in 2016 as the measurement of variables, and it uses Logit regression model to do the empirical research. Findings Unions cannot significantly influence labour conflicts. More active unions and unions whose leaders are appointed by the firms’ management are associated with a higher incidence of labour conflicts. Originality/value This paper finds a new mechanism that explains the relationship between unions and labour conflicts. The existing literature states that unions may increase labour conflicts via “monopoly power” and may also mitigate labour conflicts via “voice mechanisms”. This paper’s findings show that the positive correlation between unions and labour conflicts may be explained by the lack of “voice mechanism” rather than “monopoly power”. The findings imply that labour unions should represent the interest of workers to mitigate the increasing labour conflicts.

scholarly journals Adaptations of market garden producers to climate change in southern Mali

2021 ◽  
Author(s):  
Tiémoko SOUMAORO
Keyword(s):  
Climate Change ◽  
Multinomial Logit Model ◽  
Multinomial Logit ◽  
Adaptation Measures ◽  
Land Access ◽  
Access To Credit ◽  
Multinomial Logit Regression ◽  
The Face ◽  
Logit Regression Model ◽  
Impacts Of Climate Change

Abstract This article aims to identify the factors that influence the choice of adaptation measures by market garden producers in the extreme south of Mali in the face of climate change. The study used a multinomial logit regression model based on data collected from producers. Interviews with 194 producers were conducted in 3 circles in the southern region: Sikasso, Koutiala and Bougouni. The results of the multinomial logit model indicate that the mode of access to land, access to information on climate change, agricultural extension, agricultural experience and access to credit are the main endogenous strategies developed by producers to counteract the impacts of climate change. Finally, in order to consolidate these different strategies developed by producers, campaigns to raise awareness among producers on the importance of adapting to climate change should be encouraged.

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.

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