Corruption and economic development: New variables in the mix

Author(s):  
Beverlee B. Anderson ◽  
2016 ◽  
Vol 2 (1) ◽  
pp. 98
Author(s):  
Tolga Aydın

This interdisciplinary study is concerned with testing the effectiveness of Modernization Theory in explaining regime change by means of data mining techniques. Modernization Theory, which links democratization with economic development (improvements in income, urbanization, industrialization, education and communication levels), has been criticized widely. Many criticisms posited that there is not a significant relation between economic development and democratization. This study is an attempt to test whether the theory has improved its effectiveness with the advent of the Internet and mobile phone technologies. To this end, first, the variables are introduced. Then, the study makes an analysis by using data mining techniques. It first tests the correlation between democratization and improvements in income, education, urbanization and communication levels within the period between 1976 and 1995. Then it adds the new variables, the Internet and mobile phone usage, and tests the correlation between democratization and this new range of variables for 1996-2015 period. In the conclusion, the study evaluates whether the effectiveness of Modernization Theory is improved when the Internet and mobile phone usage are added as the new variables. It is found that there is not a strong relation between income per capita and democratization as some critics of the Modernization Theory suggest, but other factors emphasized by this theory like improvements in education and communication have a more decisive effect. Moreover, among our new variables, Internet usage proved to be a really important variable conducive to democratization according to test results.


2020 ◽  
Vol 8 (4) ◽  
pp. 277-288
Author(s):  
Muawya Ahmed Hussein ◽  
Md. Shabbir Alam ◽  
Mohammad Noor Alam

Purpose of the study: This paper aims to empirically test the long and short-run effects of financial development on the economic growth of Oman. Methodology: This paper has applied the Unit root test, ARDL Bound Test for Cointegration, CUSUM, and CUSUMSQ Test for testing of hypotheses. The data used to test the relationship between financial development and economic growth covers the period from 1980 to 2017. Main Findings: The major finding of the study suggested that the financial development variables measured in the research influence the economic growth in Oman.  Applications of the Study: This study can be useful to assess the strength of the empirical link between the financial sector and economic growth in Oman as one of the oil-exporting states of the Middle East Region, where such studies are inadequate. The novelty of the Study: The finding of the study with an addition to the existing literature by incorporating the new variables like employment or poverty in the existing model provides new insight on the financial development of Oman. Limitations and forward of the Study: The study has considered a set of data which in general acts as a catalyst for economic development in a particular country.  Implications of the Study: The outcome of the study suits the nature of the country and its socio-economic conditions. The outcomes of the study will not be suitable for every country and may result in spurious outcomes.


2014 ◽  
Vol 35 (3) ◽  
pp. 144-157 ◽  
Author(s):  
Martin Bäckström ◽  
Fredrik Björklund

The difference between evaluatively loaded and evaluatively neutralized five-factor inventory items was used to create new variables, one for each factor in the five-factor model. Study 1 showed that these variables can be represented in terms of a general evaluative factor which is related to social desirability measures and indicated that the factor may equally well be represented as separate from the Big Five as superordinate to them. Study 2 revealed an evaluative factor in self-ratings and peer ratings of the Big Five, but the evaluative factor in self-reports did not correlate with such a factor in ratings by peers. In Study 3 the evaluative factor contributed above the Big Five in predicting work performance, indicating a substance component. The results are discussed in relation to measurement issues and self-serving biases.


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