Acceso al sitio web del Consejo de Políticas de Infraestructura

   
ARTÍCULO
TITULO

POWER OF THE PURSE PERCEPTION OF VOTERS IN TURKEY AND AFFECTING FACTORS

Ufuk SELEN    
Ahmet Bora TARHAN    

Resumen

This study aims to analyze the perception of voters. It attempts to answer whether the power of purse defined at the constitutional level has been internalized and used functionally by the voters or not. A scale of 45 statements has been used to measure the perception of the voters. Factor and regression analyses have been conducted on the data obtained from the scale and the power of purse perception not functi level of the voters has been investigated.The results of the study put forward that voters in Turkey can onally use the power of purse that they get by the constitution. Also it has been discussed in the study that 6 factors have been effective for the result and that they have the same and positive effects on this perception.

PÁGINAS
pp. 1 - 18
MATERIAS
ECONOMÍA

 Artículos similares

       
 
Marisa Pessoa Gonçalves, Pedro M. Nogueira Reis and António Pedro Pinto    
In this study, we provide a thorough analysis, conducted on a company-by-company basis, of the impact of bank concentration and the bank-relative power of banks on firm profitability, financing costs, and capital structure in a small economy like Portuga... ver más

 
Alexios Lekidis, Angelos Georgakis, Christos Dalamagkas and Elpiniki I. Papageorgiou    
The scheduled maintenance of industrial equipment is usually performed with a low frequency, as it usually leads to unpredicted downtime in business operations. Nevertheless, this confers a risk of failure in individual modules of the equipment, which ma... ver más
Revista: Forecasting

 
Tu D. Q. Le, Dat T. Nguyen and Thanh Ngo    
This study investigates the relationship between market power and bank profitability, and the impacts of CEOs? personality traits, in Vietnam from 2007 to 2020. The analysis of CEOs? signatures is used to determine their characteristics. The findings sup... ver más

 
Konstantinos P. Fourkiotis and Athanasios Tsadiras    
In today?s evolving global world, the pharmaceutical sector faces an emerging challenge, which is the rapid surge of the global population and the consequent growth in drug production demands. Recognizing this, our study explores the urgent need to stren... ver más
Revista: Forecasting

 
Ashish Sedai, Rabin Dhakal, Shishir Gautam, Anibesh Dhamala, Argenis Bilbao, Qin Wang, Adam Wigington and Suhas Pol    
The Machine Learning/Deep Learning (ML/DL) forecasting model has helped stakeholders overcome uncertainties associated with renewable energy resources and time planning for probable near-term power fluctuations. Nevertheless, the effectiveness of long-te... ver más
Revista: Forecasting