Periodically Diluted BEGNN Model of Corruption Perception

2018 ◽  
pp. 289-298 ◽  
Author(s):  
Mario González ◽  
David Dominguez ◽  
Guillermo Jerez ◽  
Odette Pantoja
Keyword(s):  
Corruption Perception

Melatih Kepemimpinan Perangkat Desa Kebonharjo Kulonprogo: Membangun Sikap Anti Korupsi

2018 ◽  
Vol 1 ◽  
pp. 107
Author(s):  
Adi Heryadi ◽  
Evianawati Evianawati
Keyword(s):  
Transformational Leadership ◽  
Data Collection ◽  
Paired Samples ◽  
Significant Difference ◽  
Before And After ◽  
Post Test ◽  
Sample Test ◽  
Corruption Perception ◽  
Measuring Tool

This study aims to prove whether transformational leadership training is effective for building anti-corruption attitudes of villages in Kebonharjo village, subdistrict Samigaluh Kulonprogo. This research is an experimental research with one group pre and posttest design.Subject design is 17 people from village of 21 candidates registered. Measuring tool used in this research is the scale of anti-corruption perception made by the researcher referring to the 9 anti-corruption values with the value of reliability coefficient of 0.871. The module used as an intervention made by the researcher refers to the transformational leadership dimension (Bass, 1990). The data collected is analyzed by statistical analysis of different test Paired Sample Test. Initial data collection results obtained sign value of 0.770 which means> 0.05 or no significant difference between anti-corruption perception score between before and after training. After a period of less than 1 (one) month then conducted again the measurement of follow-up of the study subjects in the measurement again using the scale of anti-corruption perception. The results of the second data collection were analysed with Paired Samples Test and obtained the value of 0.623 sign meaning p> 0.05 or no significant difference between post test data with follow-up data so that the hypothesis of this study was rejected.

Public trust and corruption perception: disaster relief

2015 ◽  
pp. 1-15 ◽  
Author(s):  
W. W. Weng ◽  
C. K. Woo ◽  
Y. S. Cheng ◽  
T. Ho ◽  
I. Horowitz
Keyword(s):  
Disaster Relief ◽  
Public Trust ◽  
Corruption Perception

Corruption as a factor that hampers the socialization of the economy

2020 ◽  
pp. 112-119
Author(s):  
Olga B. Lemeshonok ◽  
Keyword(s):  
Institutional Environment ◽  
Economic Systems ◽  
New Production ◽  
The Public ◽  
Corruption Perception ◽  
Relations Of Power ◽  
Innovative Orientation ◽  
Power And Dependence ◽  
Dependence Property

The author investigates comparisons of the corruption prevalence in countries with different economic systems based on the regularly calculated corruption perception index. The essence of corruption interactions in an economy is revealed through relations of power and dependence, property distribution and related economic actors behavior. The article shows a role of the institutional environment in corruption expanding or reducing, its connection with the development of civil society and the processes of economy socialization. The influence of corruption on certain aspects of economy socialization is specified: social differentiation, innovative orientation of production development, macroeconomic stability, development of the institutional environment, efficiency of the public administration system, property allocation efficiency, general humanization of activities and the human capital quality associated with these processes. The author shows how corruption relations affect individual aspects of socialization of the economy, considers the potential and prospects of noonomy and the NIS’s new economy in the processes of reducing corruption and strengthening the foundations of socialization. Micro- and macroaspects of the formation of a new human with his needs structure and new production corresponding to these needs are separately noted.

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.

Analysis Good Governance of Corruption Eradication toward Penta Helix Model in Indonesia

2020 ◽  
Vol 3 ◽  
pp. 14-28
Author(s):  
Aris Sarjito ◽  
Ghazalie
Keyword(s):  
Research Method ◽  
Annual Report ◽  
Good Governance ◽  
Positive Influence ◽  
Business Community ◽  
Upward Trend ◽  
Corruption Perception Index ◽  
Transparency International ◽  
Survey Results ◽  
Corruption Perception

Transparency International released an annual report on the corruption perception index in 2018. The survey results of 180 countries showed a bad score because more than two-thirds scored less than 50. The highest score is 100, which means very clean or free of corruption, and the lowest is zero which means it is very corrupt. Indonesia must learn from New Zealand and Australia who have succeeded in helping improve the corruption perception index in their country, even though Indonesia's corruption perception index experienced an upward trend in 2014-2018. In an effort to analyze Good Governance in eradicating corruption in Indonesia, the researchers applied the Penta Helix Model, better known as the ABCGM concept, namely Academicians, Business, Community, Government, and Media to reduce the level of corruption in Indonesia. This research method is qualitative to investigate, find, describe, and explain the quality or features of social influences that cannot be explained, measured or described through a quantitative approach. The Penta Helix model is considered to have a positive influence in eradicating corruption.

scholarly journals Causes for Deforestation in Indonesia: Corruption and Palm Tree Plantation

2015 ◽  
Vol 11 (27) ◽  
pp. 120
Author(s):  
Osama Eldeeb ◽  
Petr Prochazka ◽  
Mansoor Maitah
Keyword(s):  
Time Series ◽  
Palm Oil ◽  
Forest Cover ◽  
Palm Tree ◽  
Test Statistics ◽  
Crude Palm Oil ◽  
Tree Plantation ◽  
Long Run ◽  
Corruption Perception ◽  
Forest Cover Loss

<p>Indonesian biodiversity is threatened by massive deforestation. In this research paper, claims that deforestation in Indonesia is caused by corruption and supported by crude palm oil production is verified using time series analysis. Using Engel Granger cointegration test, three time series of data, specifically corruption perception index, rate of deforestation and price of crude palm oil are inspected for a long-run relationship. Test statistics suggests that there is no long-run relationship among these variables. Authors provide several explanations for this result. For example, corruption in Indonesia, as measured by CPI is still very high. This may mean that forest cover loss is possible even though there is a positive change in corruption level. According to the results, crude palm oil price has also no effect upon forest cover loss. This is likely due to very low shut-down price of crude palm oil for which production is still economical.</p>

scholarly journals Corrupción en la función pública: un estudio sobre correlaciones entre corrupción, calidad de la democracia, gobernanza, desigualdad de renta y desempleo en el mundo (2008-2012)

2015 ◽  
Vol 6 (1) ◽  
pp. 15
Author(s):  
Thiago Perez Bernardes de Moraes ◽  
Geraldo Leopoldo Da Silva Torrecillas
Keyword(s):  
Quality Of Democracy ◽  
Corruption Perception Index ◽  
Development Indicators ◽  
Governance Indicators ◽  
Corruption Perception ◽  
World Development

El estudio cuantitativo de la corrupción ha crecido en las últimas décadas, abriendo caminos sin precedentes para la pesquisa social. En este trabajo, se hace una comparación transnacional sobre la percepción de corrupción en la función pública desde 2008 hasta 2012. Se trabaja con tres hipótesis: 1) la corrupción es más frecuente en países con menor calidad democrática; 2) todos los indicadores de gobernanza ejercen algún efecto sobre la corrupción; 3) la desigualdad es un importante predictor del nivel de corrupción, aún más que el desempleo. Para probar estas hipótesis se utilizan datos del Democracy Ranking of the Quality of Democracy, Corruption Perception Index, Worldwide Governance Indicators, datos del World Development Indicators y del Banco Mundial, datos estos que calculan el nivel global de desempleo y el índice Gini, que mide la desigualdad de consumo y renta. Los resultados muestran que las dos primeras hipótesis son adherentes, ya que hay alta correlación negativa entre corrupción en la función pública y cualidad de la democracia además de los seis indicadores de gobernanza. La tercera hipótesis muestra relativa adherencia pues, desigualdad de renta y desempleo están correlacionados con la corrupción en el funcionalismo público, sin embargo, la correlación tiene bajo valor de significancia, lo que indica que estos dos factores son apenas parte de un todo entre factores que componen el nivel de corrupción. © Revista Colombiana de Ciencias Sociales.

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