scholarly journals The Measuring Economic Cost of Corruption: Empirical Evidence from Pakistan

2019 ◽  
Vol 6 (1) ◽  
pp. 56-59
Author(s):  
Ikram Uddin
Keyword(s):  
Secondary Data ◽  
Economic Cost ◽  
Policy Makers ◽  
Corruption Perception Index ◽  
Transparency International ◽  
Foreign Borrowing ◽  
Independent Variable ◽  
Corruption Perception ◽  
Economic Survey ◽  
The Impact

Purpose- In this study economic cost of corruption in Pakistan has been measured. Pakistan has been facing the problem of corruption since its independency. According to transparency international United states of America Pakistan has been ranked 117 countries out of 180 in world in 2017. Method/Design- Secondary data has been collected from various sources such as Asian development bank and various issues of economic survey of Pakistan. In this study independent variable such as export, inflation and foreign borrowing impact on dependent variable corruption perception index has been analyzed.in this analysis OLS regression technique was applied in e-view 7. Findings- Foreign borrowing and export annual change is found to have significant impact on corruption but there is no significant impact of inflation on corruption perception index. Based on finding it is recommended that policy makers should develop effective policies in order to reduce the impact of corruption on economy.

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 JUMLAH DANA ZAKAT DAN FAKTOR-FAKTOR MAKROEKONOMI YANG MEMPENGARUHINYA

2019 ◽  
Vol 5 (9) ◽  
pp. 743
Author(s):  
Kiki Novitasari ◽  
Suherman Rosyidi
Keyword(s):  
Secondary Data ◽  
Qualitative Approach ◽  
Production Index ◽  
Analysis Technique ◽  
Macroeconomic Indicators ◽  
Saturated Sample ◽  
Independent Variable ◽  
Sample Method ◽  
The Impact

The aim of this study was to know the impact of macroeconomic indicators changes toward the total amount of collected zakah in BAZNAS during the period 2012-2016. This study uses qualitative approach by using liniear regression analysis technique. Futhermore dependent variable used in this study is the amount of zakah, while the independent variable are inflation, gold price, money supply and industrial production index. The determination of sampling uses non probability sampling with saturated sample method, on the other hand, the whole population was used as the sample of this study. Moreover, the data used in this study is secondary data.

The corruption perception index and the political economy of governing at a distance

2019 ◽  
Vol 34 (4) ◽  
pp. 504-523
Author(s):  
Hannes Baumann
Keyword(s):  
Political Economy ◽  
Analytical Framework ◽  
The Political ◽  
Business Elites ◽  
Corruption Perception Index ◽  
Transparency International ◽  
Corporate Capital ◽  
Comprehensive Survey ◽  
Corruption Perception ◽  
Corporate Clients

The corruption perception index (CPI) compiled by Transparency International (TI) ranks countries by perceived levels of corruption. It is a reformist rather than a radical form of ‘statactivism’. First, I use Rose and Miller’s analytical framework to explain how corporate concerns come to dominate the CPI: How a neoliberal rationality is translated into a programme to govern corruption and then a technology – the CPI. A comprehensive survey of sources used to compile the CPI 2001–2016 shows that the vast majority were either produced for sale to corporate clients or were based on surveys of business elites. Second, I embed the index’s production into a wider political economy: TI workers are Gramscian intellectuals who put forward an interpretation of corruption that is non-threatening to corporate capital. This Gramscian framework holds wider relevance for analyses of the politics of global benchmarking.

Уровень коррупции в России на фоне зарубежных стран

2019 ◽  
Vol 3 (1) ◽  
pp. 17
Author(s):  
Дмитрий Юрьевич Федотов
Keyword(s):  
Corruption Perception Index ◽  
Transparency International ◽  
Corruption Perception

В статье проведено исследование уровня коррупции в России и в зарубежных странах мира. В качестве источника информации использован Индекс восприятия коррупции (Corruption Perception Index), ежегодно составляемый неправительственной международной организацией Transparency International, а также данные Всемирного банка. Рассмотрены мнения различных авторов о причинах и размерах коррупции в различных странах мира. Сделан вывод о том, что коррупция наблюдается в той или иной степени во всех странах мира, как в развитых, так и в развивающих. В ходе проведенного анализа было установлено, что коррупция в России находится на высоком уровне. По уровню коррупции Россия опережает большинство развивающихся стран. Высокая коррупция тормозит экономическое развитие страны. Коррупция сопровождается высокой степенью расслоения общества по уровню доходов и большими масштабами теневой экономики.

scholarly journals Indian tourism industry – a yardstick to GDP

2017 ◽  
Vol 8 (2) ◽  
pp. 140-146
Author(s):  
R. Vedapradha ◽  
Ravi Hariharan ◽  
Asif Niha
Keyword(s):  
Foreign Exchange ◽  
Secondary Data ◽  
Tourism Industry ◽  
Infrastructure Development ◽  
Employment Opportunities ◽  
Correlation And Regression Analysis ◽  
National Heritage ◽  
Domestic Tourism ◽  
Independent Variable ◽  
The Impact

Abstract Tourism industry plays a pivotal role in the economic development of a nation. This industry infuses opportunities with commendable impact on the economy in the areas of generating income, employment opportunities, one of the sources of foreign exchange earnings, infrastructure development and promotion of national heritage and culture, which contributes towards the national gross domestic product (GDP). This article is empirical about the contribution and impact of foreign exchange reserve, earning and the arrival of tourists on the growth of tourism industry and GDP in India. The researcher has collected secondary data, and the variables are assessed with the help of correlation and regression analysis to analyse the impact of tourism towards GDP in the country. The finding of this article is that domestic tourism is the only independent variable having significance in the GDP.

scholarly journals Impact of Dividend Policy on Shareholders’ Wealth: An Empirical Analysis of Listed Insurance Companies in Pakistan

2021 ◽  
Vol 4 (1) ◽  
pp. 69-80
Author(s):  
MUHAMMAD SHABEER KHAN ◽  
DR. SAID SHAH ◽  
SYEDA UROOJ BABER
Keyword(s):  
Dividend Policy ◽  
Insurance Industry ◽  
Secondary Data ◽  
Insurance Companies ◽  
Ratio Analysis ◽  
Retention Ratio ◽  
Analysis Techniques ◽  
Independent Variable ◽  
Convenience Sampling ◽  
The Impact

This study aims to investigate the impact of dividend policy on shareholders’ wealth using secondary data of 17 listed insurance companies in Pakistan employing non-probability convenience sampling for 2012-2015. Shareholders’ wealth is used as dependent variable measured by earning per share whereas dividend policy as independent variable measured by three ratios namely dividend per share, Retention ratio and dividend payout ratio. Analysis techniques include descriptive statistics, regression analysis and correlation analysis. The results show that all the independent variables impact dependent variable positively with dividend per share and retention ratio significant at 5%. Moreover study reveals that the theory of dividend irrelevancy failed in the case of insurance industry of Pakistan.

scholarly journals Pengaruh Rektrukturisasi Kredit di Masa Pandemi Covid-19 Terhadap Pendapatan pada Perusahaan Perbankan Yang Terdaftar Di Bursa Efek Indonesia

2021 ◽  
Vol 5 (1) ◽  
pp. 94
Author(s):  
Muhammad Reza Septriawan ◽  
Sri Mulyani ◽  
M Iqbal
Keyword(s):  
Hypothesis Testing ◽  
Stock Exchange ◽  
Secondary Data ◽  
T Test ◽  
Coefficient Of Determination ◽  
Research Model ◽  
Financial Reports ◽  
Negative Effect ◽  
Independent Variable ◽  
The Impact

The research will look at the impact of credit restructuring on the income of banks in Indonesia. This research was conducted with a quantitative approach, with reference to the data used is secondary data, in the form of financial reports of all banking issuers (45 issuers) which are reported and summarized on the official website of the Indonesia Stock Exchange (BEI). The results of hypothesis testing using the t test show a significance value of 0.00 <0.05 with a coefficient value of -1.260, which means that credit restructuring has a negative effect on bank income, it can be concluded that the credit restructuring variable (X) partially has a negative effect on the income variable. (Y). The higher the credit restructuring, the lower the income of banking companies listed on the IDX. The result of the coefficient of determination shows the ability of the independent variable to explain the variation of the dependent variable of 0.945 or 94.5%, which means that the effect of credit restructuring (X) on income (Y) is 94.5% and the remaining 5.5% is influenced by other variables outside of this research model.

scholarly journals A Conceptual Framework to Measure Economic Growth of Afghanistan

2019 ◽  
Vol 5 (2) ◽  
pp. 25
Author(s):  
Sayed Ramez ◽  
Muhammad Farooq ◽  
Valliappan Raju
Keyword(s):  
Economic Growth ◽  
Conceptual Framework ◽  
Secondary Data ◽  
Currency Reserve ◽  
Developed Country ◽  
Policy Makers ◽  
Transparency International ◽  
Secondary Data Source ◽  
Data Source

Afghanistan is the least developed country in Asia which is under war from the previous 20 years. After the end of the  partial war, many aspects of Afghan economy are improving, for instance, the GDP has advanced 2.5% from 2016 to 2017. However, Per Capita Income is very low, safety, health and education are the areas which needs improvement. The exports of Afghanistan are on the decline. The natural currency reserve of Afghanistan is decline despite having many mineral assets. One of the core apparent behind all these decline aspects is corruption in Afghanistan. As transparency international the corruption of Afghanistan has increased in 2017 compared to 2016. It is of the most corrupt countries in the world.  Due to war and less developments Afghanistan is least studied country. To fill this gap in this study the research has explored multiple secondary data source to review existing economic situation in Afghanistan.  After exploring the economy  of afghanstan the study also provides a conceptual framework  for future reseachers to review economic growth of afghanistan using given framework. The study is useful for the policy makers to improve policies and prosperity of the country by identifying the role of crime. 

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