The Effect of Corruption Perception Index and Country Risk Index on Syndicated Loan Establishment and Structure in Asia 1999-2003

2012 ◽  
Author(s):  
Dian Lasmono ◽  
Deddy Marciano ◽  
James Bartle
Keyword(s):  
Risk Index ◽  
Country Risk ◽  
Corruption Perception Index ◽  
Corruption Perception ◽  
Syndicated Loan

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 Research on Risk Measurement of Supply Chain Emergencies in International Capacity Cooperation

2019 ◽  
Vol 11 (19) ◽  
pp. 5184
Author(s):  
Bo-Rui Yan ◽  
Qian-Li Dong ◽  
Qian Li
Keyword(s):  
Supply Chain ◽  
Financial Risk ◽  
Fuzzy Ahp ◽  
Risk Index ◽  
Risk Measurement ◽  
Country Risk ◽  
Analytic Hierarchy ◽  
Analytic Hierarchy Process Method ◽  
Measurement Index System ◽  
Hierarchy Process

International capacity cooperation is easily affected by the interweaving of its internal and external environment. As the risk accumulation exceeds the threshold, a supply chain crisis and even emergency will occur and serious losses will be caused. Regarding multinational operation and international capacity cooperation, 208 cases were summarized to identify risk types and high-incidence areas, and a risk measurement index system was established. A Fuzzy AHP (Analytic Hierarchy Process) method was used to evaluate the importance of each risk index. It was found that country risk was the main cause of supply chain emergencies in international capacity cooperation. Construction, water and electricity supply, mining and manufacturing were major areas of emergencies. In international capacity cooperation, country risk and cross-cultural risk were more important in external risks, while in internal risk, financial risk and decision risk were more important.

scholarly journals An assessment of the interrelations between country risk, economic growth and good governance: The case of the Visegrád four

2021 ◽  
Vol 8 (4) ◽  
pp. 610-627
Author(s):  
Daniel Francois Meyer
Keyword(s):  
Risk Factors ◽  
Economic Growth ◽  
Economic Performance ◽  
Quantitative Research ◽  
Time Series Data ◽  
Good Governance ◽  
Risk Index ◽  
Country Risk ◽  
Series Data ◽  
Short Run

nvestors assess the environment and the level of risk before they invest in a specific region or country. Several country risk indexes have been developed since the beginning of the 1990s, using risk factors such as politics, the economy and sovereign risk factors. This study aims to determine the relationships between the country risk index, economic performance and good governance. The study implemented a quantitative research methodology with panel data, focusing on the four Visegrad countries, using time-series data from 1996 to 2019. The results indicate both long- and short-run relationships. Both GDP and good governance significantly impact the country risk index with coefficients of between 0.17 to 0.31 and 0.02 to 0.15 according to different estimation models. The Granger causality results indicated that both GDP and good governance cause changes in the country risk indexes of the countries, and good governance causes increased economic performance. In conclusion, the study showed clear evidence that a lower country risk index is important to attract investment and sustained economic growth and good governance is critical in this process.          

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.

scholarly journals Recasting Governance for Challenging Times

2021 ◽  
pp. 9-20
Author(s):  
Miguel Schloss
Keyword(s):  
Critical Review ◽  
Corruption Perception Index ◽  
The World ◽  
Corruption Perception ◽  
International Conventions ◽  
Civil Societies

For the better part of the last twenty years, a multitude of international conventions, principles, standards have been agreed to strengthen governance and reduce corruption. These have led to a plethora of statements, institutions and regulations, experiments - each with their own valid inner logic. However, if we look for tangible, on-the-ground results, we are in for a big surprise, or rather disappointment. Taken together, the outcomes that have been reported (such as new control and tracking vehicles, anti-corruption legislation, and the like) have been at best intermediate, rather than final results to be sought. Moreover, they have bee difficult to upscale and easy to circumvent by agents that have a dynamism, adaptability and imagination that is difficult to match by the entities and vehicles that have been created to control corruption and facilitate accountability. As a result, impact on the ground remained at best imperceptible in “moving the needle” to achieve tangible progress. It has now been 10 years that some 70 percent of countries worldwide scored poorly (below 50, in a scale of 0 to 100) in Transparency International’s Corruption Perception Index — with no improvements of significance throughout this period. Growing signs of public discontent strongly suggest a widening gulf between elites and civil societies, and a consequent inability to respond to emerging societal demands. By now, it should be painfully evident that the time has come to take a dispassionately critical review of the approaches taken to date, and see how they need to be recast to respond to the evolving conditions around the world. This article is aimed at contributing to such review and help rethink, where necessary to recast such approaches to generate effective responses for the remainder of the century.

scholarly journals Determinant of The Poverty in The Moslem Countries: Ibn Khaldun Development Model

2016 ◽  
Vol 5 (1) ◽  
pp. 15-30
Author(s):  
Dian Paisal Putra ◽  
Indra Indra
Keyword(s):  
Gini Index ◽  
Control Variable ◽  
Development Model ◽  
Gdp Per Capita ◽  
Education Expenditure ◽  
Role Of Government ◽  
Corruption Perception Index ◽  
Ibn Khaldun ◽  
Corruption Perception ◽  
Per Capita

This current paper examined the determinant of the poverty in the OIC countries. Our empirical model was based on Ibn Khaldun development model that emphasizes several aspects, namely: the country's wealth (proxied by GDP per capita), the role of government (proxied by health and education expenditures), human resources (proxied by HDI), sharia (proxied by corruption perception index), development (proxied by investment), and justice (proxied by Gini index). We used panel data model consisting nine OIC countries over 2003-2012. This study verified that GDP per capita significantly contribute to the reduction of poverty in the OIC countries. We also found that unemployment (as a control variable) encountered a role in triggering poverty in OIC countries. Meanwhile, it found that education expenditure, Gini index, HDI, and Corruption Perception Index found no significant effect on poverty. DOI:  10.15408/sjie.v5i1.3130 

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