Corruption and inflation: evidence from US states

2019 ◽  
Vol 11 (2) ◽  
pp. 251-262
Author(s):  
Hussein Elkamel
Keyword(s):  
Multiple Regression ◽  
Design Methodology ◽  
State Level ◽  
Content Type ◽  
Us States ◽  
Level Data ◽  
The Us ◽  
Regression Techniques ◽  
Cross Country ◽  
The Relationship

Purpose The purpose of this paper is to show that states where corruption is greater also have higher levels of inflation. Design/methodology/approach Using a sample of all US states through the period 1992-2007 and various factors common across states that could impact the level of corruption or inflation, multiple regression techniques are used to determine corruption impact to inflation. Findings The study finds that corruption contributes, along with aid transfer, positively to inflation in the US states. The results are robust even after scaling the corruption variable to different determinants. Originality/value While there is some evidence on the relationship between corruption and inflation in cross-country dataset, there is no such evidence on it within country dataset. This paper, however, provides evidence on the relationship between corruption and inflation using state-level data of the US states.

How far are we from understanding corruption? The effect of cultural distance on corruption perception

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mike Szymanski ◽  
Ivan Valdovinos ◽  
Evodio Kaltenecker
Keyword(s):  
Cultural Differences ◽  
International Business ◽  
Design Methodology ◽  
Cultural Distance ◽  
State Level ◽  
Generalized Least Squares ◽  
Content Type ◽  
The Usa ◽  
Corruption Perception ◽  
The Relationship

Purpose This study aims to examine the relationship between cultural distances between countries and their scores in the Corruption Perception Index (CPI), which is the most commonly used measure of corruption in international business (IB) research. Design/methodology/approach The authors applied fixed-effect (generalized least squares) statistical modeling technique to analyze 1,580 year-country observations. Findings The authors found that the CPI score is determined to a large extent by cultural distances between countries, specifically the distance to the USA and to Denmark. Research limitations/implications CPI is often used as a sole measure of state-level corruption in IB research. The results show that the measure is significantly influenced by cultural differences and hence it should be applied with great caution, preferably augmented with other measures. Originality/value To the best of the authors’ knowledge, this is the first study to look at cultural distances as determinants of CPI score. The authors empirically test whether the CPI is culturally biased.

scholarly journals Sustainability level, corruption and tax evasion: a cross-country analysis

2016 ◽  
Vol 23 (2) ◽  
pp. 328-348 ◽  
Author(s):  
Hichem Khlif ◽  
Achraf Guidara ◽  
Khaled Hussainey
Keyword(s):  
Tax Evasion ◽  
Design Methodology ◽  
Policy Implications ◽  
Content Type ◽  
Global Competitiveness ◽  
Country Analysis ◽  
Cross Country ◽  
The Relationship ◽  
Global Competitiveness Report

Purpose This paper aims to examine the relationship between the level of sustainability and tax evasion and test whether the level of corruption moderates such a relationship. Design/methodology/approach The sample consists of 65 developed and developing countries. Tax evasion is measured using a macro indirect approach used by Schneider et al. (2010). The sustainability level and corruption variables are collected from The Global Competitiveness Report for 2012-2013. Findings This study finds that the level of tax evasion is negatively associated with the level of sustainability (overall score and social and environmental score) and the quality of infrastructure. When we distinguish between low- and high-corruption countries, we find that this negative association is significant for low-corruption countries and insignificant for high-corruption countries. These results imply that the level of corruption may reduce the tendency of individuals in a given state to accept and trust their government in general and comply with the tax rules in particular. Originality/value Our empirical findings have policy implications for governments with high levels of tax evasion, as they highlight the importance of states’ engagements towards their citizens in reducing tax evasion.

Local corruption and local stock returns

2019 ◽  
Vol 26 (4) ◽  
pp. 1065-1077
Author(s):  
Serkan Karadas ◽  
William McAndrew ◽  
Minh Tam Tammy Schlosky
Keyword(s):  
Stock Returns ◽  
Design Methodology ◽  
State Level ◽  
The State ◽  
Second Step ◽  
Market Size ◽  
Content Type ◽  
The Usa ◽  
The Relationship ◽  
Local Stock

Purpose The purpose of this study is to investigate the effect of corruption on stock returns in the USA. In particular, this study examines the relationship between corruption in a state (i.e. local corruption) and stock returns of firms headquartered in that state (i.e. local returns). Design/methodology/approach This paper uses the Fama–MacBeth two-step regressions. In the first step, the authors estimate the coefficients on the market, size, value and momentum factors for individual stocks. In the second step, they use those coefficients along with the corruption score of the state where stocks are headquartered to explain stock returns. Findings This paper finds that corruption in a state adversely affects stock returns of firms headquartered in that state. It further documents that the effect of corruption on stock returns is limited to geographically concentrated firms. Originality/value To the best of the authors’ knowledge, this paper is the first to document the effect of state-level corruption on individual stock returns in the USA using the Fama–MacBeth regressions. This study contributes to the literature by documenting the effect of local corruption on local stock returns in a low corruption country.

Internationalization and innovation in nascent companies: does gender matter?

2017 ◽  
Vol 24 (4) ◽  
pp. 887-905 ◽  
Author(s):  
Marlon Fernandes Rodrigues Alves ◽  
Simone Vasconcelos Ribeiro Galina ◽  
Nayele Macini ◽  
Luísa Cagica Carvalho ◽  
Teresa Costa
Keyword(s):  
Women Entrepreneurs ◽  
Design Methodology ◽  
Entrepreneurial Activity ◽  
Content Type ◽  
Cross Country ◽  
Log Linear ◽  
The Relationship ◽  
Different Levels ◽  
Shed Light ◽  
Multiple Conditions

Purpose The purpose of this paper is to explore the competitiveness of women entrepreneurs in terms of internationalization and innovation. Supported by a resource-based framework of early internationalizing firms, the authors investigated multiple conditions for the relationship between internationalization and innovation relative to gender in nascent companies. Design/methodology/approach For this purpose, the authors used survey data related to entrepreneurial activity in 50 countries from the Global Entrepreneurship Monitor. Based on a model of seven factors (internationalization, innovation, gender, skills, opportunity, sector, and country), the authors tested the significance of the relationships between these factors by means of a hierarchical log-linear analysis. Findings The results indicate the low competitiveness of women entrepreneurs in general, but outline some singularities, especially between developed and developing countries. Originality/value This study offers cross-country empirical evidence of how factors of different levels interact with each other. In this way, the authors shed light on the competitiveness of nascent companies, especially regarding gender differences.

Financial crime, corruption and tax evasion: a cross-country investigation

2018 ◽  
Vol 21 (4) ◽  
pp. 545-554 ◽  
Author(s):  
Ines Amara ◽  
Hichem Khlif
Keyword(s):  
Money Laundering ◽  
Tax Evasion ◽  
Design Methodology ◽  
Positive Relationship ◽  
Policy Implications ◽  
Financial Crime ◽  
Content Type ◽  
Financial Crimes ◽  
Cross Country ◽  
The Relationship

Purpose This paper aims to examine the relationship between the financial crime and tax evasion and tests whether corruption moderates such a relationship. Design/methodology/approach Tax evasion measure is based on Schneider et al. (2010). Financial crime is collected from Basel anti-money laundering (AML) report. Findings Using a sample of 120 countries, the authors find that the level of financial crime is positively associated with tax evasion. When testing for the moderating effect of corruption, they document that the positive relationship between financial crime and tax evasion is more pronounced for high corrupt environments. Originality/value The findings have policy implications for governments aiming to combat tax evasion and financial crimes.

The trade-off between knowledge exploration and exploitation in technological innovation

2018 ◽  
Vol 22 (4) ◽  
pp. 781-801 ◽  
Author(s):  
Dehong Li ◽  
Jun Lin ◽  
Wentian Cui ◽  
Yanjun Qian
Keyword(s):  
Design Methodology ◽  
Exploration And Exploitation ◽  
Research Knowledge ◽  
Content Type ◽  
Team Members ◽  
Effort Allocation ◽  
The Us ◽  
Knowledge Exploration ◽  
The Relationship ◽  
Knowledge Learning

Purpose This study aims to clarify the effect of team effort allocation between knowledge exploration and exploitation on the generation of extremely good or poor innovations. The influence of previous collaborative experience among team members on the effect of team effort allocation is also investigated to understand the relationship between team members’ collaboration networks and knowledge learning. Design/methodology/approach This study uses data of all patents granted by the US Patent and Trademark Office between 1984 and 2010. The inventors involved in a patent are regarded as members of the focal team. Logistic regression is used to analyze the data. Findings Allocating greater effort to exploration than to exploitation is beneficial to achieving breakthrough innovations despite the risk of generating particularly poor innovations. This benefit increases with collaborative experience among team members. Placing an equal emphasis on knowledge exploration and exploitation is not particularly effective in achieving breakthrough innovations; it is, however, the best strategy for avoiding particularly poor innovations. Originality/value This research not only provides valuable insights for research on innovation and knowledge management by studying the team effort allocation strategy used to achieve breakthroughs and avoid particularly poor innovations but also represents an advancement in bridging two streams of research – knowledge learning and social networks – by highlighting the influence of the team members’ collaborative networks on the effect of team effort allocation between knowledge exploration and exploitation.

Assessing growth in occupational licensing of low-income occupations: 1993-2012

2018 ◽  
Vol 7 (2) ◽  
pp. 178-218
Author(s):  
Edward Timmons ◽  
Brian Meehan ◽  
Andrew Meehan ◽  
John Hazenstab
Keyword(s):  
Low Income ◽  
Design Methodology ◽  
State Level ◽  
Future Research ◽  
Occupational Licensing ◽  
Content Type ◽  
Level Data ◽  
Over Time

Purpose The purpose of this paper is to document the changes in low- and moderate-income occupational licensing over time. Design/methodology/approach Using US state level data, the authors document the rise in occupational licensing for low- and moderate-income occupations over the 1993-2012 period. Findings States averaged 32 additional low- and moderate-income occupations licensed over this period. Louisiana added the most licenses with 59 new licenses for these occupations, while Oklahoma and Kentucky only added 15 licenses for these low- and moderate-income occupations. Originality/value These data have not been documented before and should provide useful for future research into occupational licensing.

scholarly journals Creativity, clusters and the competitive advantage of cities

2015 ◽  
Vol 25 (5) ◽  
pp. 482-496 ◽  
Author(s):  
Roger Martin ◽  
Richard Florida ◽  
Melissa Pogue ◽  
Charlotta Mellander
Keyword(s):  
Economic Development ◽  
Design Methodology ◽  
Industrial Cluster ◽  
Content Type ◽  
Development Indicators ◽  
Housing Costs ◽  
The Us ◽  
Us Government ◽  
Relationship Of ◽  
The Relationship

Purpose – This paper aims to marry Michael Porter’s industrial cluster theory of traded and local clusters to Richard Florida’s occupational approach of creative and routine workers to gain a better understanding of the process of economic development. Design/methodology/approach – Combining these two approaches, four major industrial-occupational categories are identified. The shares of US employment in each – creative-in-traded, creative-in-local, routine-in-traded and routine-in-local – are calculated, and a correlation analysis is used to examine the relationship of each to regional economic development indicators. Findings – Economic growth and development is positively related to employment in the creative-in-traded category. While metros with a higher share of creative-in-traded employment enjoy higher wages and incomes overall, these benefits are not experienced by all worker categories. The share of creative-in-traded employment is also positively and significantly associated with higher inequality. After accounting for higher median housing costs, routine workers in both traded and local industries are found to be relatively worse off in metros with high shares of creative-in-traded employment, on average. Social implications – This work points to the imperative for the US Government and industry to upgrade routine jobs, which make up the majority of all employment, by increasing the creative content of this work. Originality/value – The research is among the first to systematically marry the industry and occupational approaches to clusters and economic development.

Predicting crack through a well generalized and optimal tree-based regressor

2019 ◽  
Vol 11 (6) ◽  
pp. 783-807
Author(s):  
Sasanka Choudhury ◽  
Dhirendra Nath Thatoi ◽  
Jhalak Hota ◽  
Mohan D. Rao
Keyword(s):  
Random Forest ◽  
Design Methodology ◽  
Crack Detection ◽  
Natural Frequencies ◽  
Content Type ◽  
Simple Rules ◽  
Different Types ◽  
Regression Techniques ◽  
Optimal Tree ◽  
The Relationship

Purpose To avoid the structural defect, early crack detection is oneof the important aspects in the recent area of research. The purpose of this paper is to detect the crack before its failure by means of its position and severity. Design/methodology/approach This paper uses two trees based regressors, namely, decision tree (DT) regressor and random forest (RF) regressor for their capabilities to adopt different types of parameter and generate simple rules by which the method can predict the crack parameters with better accuracy, making it possible to effectively predict the crack parameters such as its location and depth before failure of the beam. Findings The predicted parameters can be achieved, if the relationship between vibration and crack parameters can be attained. The relationship yields the results of beam natural frequencies, which is used as the input value for the regression techniques. It is observed that the RF regressor predicts the parameters with better accuracy as compared to DT regressor. Originality/value The idea is used the developed regression techniques to identify the crack parameters which are more effective as compared to other developed methods because the alternate name of prediction is called regression. The authors have used DT regressor and RF regressor to achieve the target. In this paper care has been given to the generalization of the model, so that the adaptability of the model can be ensured. The robustness of proposed methods has been verified in support of numerical and experimental analysis.

Analysis of the survival capacity of mutual funds: a systematic review of the literature

2017 ◽  
Vol 13 (4) ◽  
pp. 440-474 ◽  
Author(s):  
Laura Fabregat-Aibar ◽  
Antonio Terceño ◽  
M. Glòria Barberà-Mariné
Keyword(s):  
Systematic Review ◽  
Literature Review ◽  
Mutual Funds ◽  
Design Methodology ◽  
Review Of The Literature ◽  
Academic Interest ◽  
Content Type ◽  
The Us ◽  
Survival Capacity ◽  
The Relationship

Purpose The purpose of this paper is to carry out a literature review to determine which variables have the greatest impact on the survival capacity of mutual funds, and if these variables also have an influence on the various ways in which mutual funds disappear. Design/methodology/approach The authors carry out a systematic review of the literature on mutual funds and identify the main features that affect their capacity for survival. Findings The results show that most of the articles are based on data from the US market and that the two most studied variables are the return and the size of the fund. Furthermore, the relationship between the behaviour of variables and the disappearance of funds has mainly been analysed by comparing surviving and non-surviving funds, but without specifying the way in which they disappeared. Finally, the results show that there is no single methodology for examining the survival of funds. Originality/value In the financial literature, no previous literature review has focused on the factors that influence the survival capacity of mutual funds. The authors consider that this review will provide a broader and more realistic vision of the level of academic interest in this field and identify any gaps that exist in the literature available.

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