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*Corresponding author: Zahid Iqbal M.Phill Scholar, Visiting Lecturer, The Islamia University of Bahawalpur, Bahawalnagar Campus. E-Mail: zahid_luck21
837
Management and Administrative Sciences Review
Volume 4, Issue 6
Pages: 837-845
November 2015
e-ISSN: 2308-1368
p-ISSN: 2310-872X
Causes of Corruption in Public Sector Organization: The Study of District Bahawalnagar, Punjab
Zahid Iqbal1*, Hassan Ahmad2, Muhammad Ahmad Mushtaq3, Shahid Iqbal4
1. M.Phill Scholar, Visiting Lecturer, Department of Commerce, The Islamia University of Bahawalpur, Bahawalnagar Campus.
2. M.Phill Scholar, Visiting Lecturer, Department of Commerce, The Islamia University of Bahawalpur, Bahawalnagar campus.
3. MBA Scholar, The Islamia University of Bahawalpur, Bahawalnagar Campus.
4. M.Com Scholar, The Islamia University of Bahawalpur, Bahawalnagar Campus.
The core objective of this study is to observe the causes of corruption in government
department working in District Bahawalnagr, Punjab, Pakistan. Primary data for this
study is collected from the entire administrative department working in district
Bahawalnagar through a questionnaire. Non-Probability (Conveyance) sampling techniques
used for data collection. All the variables of study Corruption (Dependent variables) and
independent variables including personal financial problems (PFP), lack of legalization
(LOL), forced corruption (FC) and Other reasons (OR) divided into different relevant
dimensions. According to results of study positive and significant relation observed between
corruption (CR), personal financial problems (PFP), lack of legalization (LOL), forced
corruption (FC), whereas negative relationship found between corruption (CR) and others
reasons (OR).
Keywords: Lack of legalization, personal financial problems, forced corruption
INTRODUCTION
The core objectives of this study are to observe the
reasons due to that corruption growing rapidly in
Pakistan especially in District Bahawalnagar.
According to Taghavi et al (2011) transfer of public
interest to private people for their personal
benefits is called corruption. In this study
corruption is dependent variable that is
operationalized into further three elements
including demand of money besides salary, not
observing office timing and underutilization of
specific skills by the government employees.
According to Chang-Golden (2004) negative
relationship between employee’s salaries, office
timing and appointment of inefficient people on
Manag.Adm. Sci. Rev. e-ISSN: 2308-1368, p-ISSN: 2310-872X Volume: 4, Issue: 3, Pages: 837-845
838
key post was observed. Personal financial
problems (PFP) are independent variable that is
operationalizing into different dimension
including low salary, employee’s intention to get
the higher status and appointment of people on
reference basis. According to Persson et al. (2003)
low salaries or low income is the major cause of
increasing corruption in developing countries.
People also involve in corruption as they are get to
higher status in society. Some people also do
corruption as they are appointed through unfair
means. Second variable, which is being used in this
study to measure the corruption, is lack of
legalization (LOL) that was operationalized into
three dimensions including lack of accountability,
poor legal system, lack of education and poor
political system.
According to Myint (2000) corruption lies in every
organization including private sector, public sector
and even in non-profit organization of both
developed and developing countries and its major
reason is the lack of accountability, poor
legalization system and corrupt politicians. Third
independent variable of the study is the forced
corruption (FC) that was divided into three
dimensions including pressure from higher
authorities, pressure of co-workers and corrupt
behavior of client. La Porta et al (1999)
Government servants is the major beneficiaries of
corruption in developing countries as they
involved some time in corruption due to the
pressure of higher authorities, enforcement of
coworkers and also due to the client of specific
department. Last independent variables of this
study is the other reasons (OR) that was divided
into three further dimensions including lack of
latest technology, inefficiency of anti-corruption
department and low literacy rate is the cause of
increasing corruption. According to Treisman
(2000) one of the major reasons of increasing
corruption in developing countries is low literacy
rate that can be improved through economic
development. According to Lambsdorff (2001)
inefficiency and male administration institutions
that are being established to reduce the corruption
are major source of increasing corruption in
developing countries but no correlation of between
corruption, literacy rate and technology observed.
LITERATURE REVIEW
1. Illegal use of official position, rank of status for
personal benefits or for the benefits of their friends
and family member in shape of any form is called
corruption (U-Myint, 2000).
2. Melgar et al (2009) mention that misuse of public
power or authorities for their personal and private
gain is called corruption.
3. Gadit (2011) mentioned that misuse of public
office for their personal political gain is called
corruption.
4. According to Javaid (2010) misuse of powers
that are associated with specific post for the
personal benefits or for the benefits of their close
friends and family members.
5. As discussed by Glynn et al. (1997) corruption
survives in all developed and developing countries
like a cancers. Almost every segments of society is
suffering from corruption.
6. According to Amundsen (1999) corruption
increasing and becoming a part of our cultural and
negatively affect the political and economic system
of our country.
7. According to Theobald (1990) there are two
main approaches to determine the corruption. One
any political party or administration prefer to their
personal interest at the cost of public interest,
second when an Government official illegally
support to anyone at the cost of public interest.
8. According to La Porta et al. (1999) majority of
Government servants do corruption due to poor
political and judicial system as they know they
cannot be arrested or being caught.
9. As discussed by Banfield (1958), religious factor
is also associated with corruption. More religious
people are not corrupt as compare to others person
that are not associated with religion.
Manag.Adm. Sci. Rev. e-ISSN: 2308-1368, p-ISSN: 2310-872X Volume: 4, Issue: 3, Pages: 837-845
839
10. Major causes of corruption in developing
countries are the influence of religious scholar,
democratic government, political leaders and
corrupt government employees (Geddes, 1997).
11. Corruption is also an outcome of weak
administration besides this individual and
departments that are establish to counter the
corruption becomes a cause of enhancing the
corruption as they do not fulfilling their
responsibilities (Klitgaard, 1998).
12. In developing countries corruption increasing
in public sector organization as compare to the
private sector. Not only economic factors but non-
economic factors also associated with increasing
corruption trend in developing countries (Alt &
Lassen, 2003).
13. As discussed by Ali and Isse (2003) preventive
measures from government can reduce the level of
corruption.
14. According to Brunetti-Weder (2003) corruption
becomes a culture in most of developing countries.
15. Haarhuis and Leeuw (2004), mention that all
types of corruption including moral, social,
political, economic, writhers, scholars and
intellectual’s corruption exist in developing
countries especially that lies in Asia.
16. As discussed by Lambsdorff (2004) mentioned
that corruption have various aspects including
misuse of state resources, illegally favoring friends
and family members and sometimes give
preference to his family members or kinfolk over
the others people especially for appointment of
different key posts in government sector.
17. According to Lipset (1960) democratic set is
also associated with corruption. Corruption
increasing in those countries where political
system is stronger.
18. Income inequality and various non-economic
factors including new technology and low literacy
rate is cause of increasing corruption in
government sector organization of developing
countries (Laza Kekic, 2007).
19. A negative relationship between political
administration of country and corruption observed
(Lederman et al, 2005).
20. Taghavi et al (2011) trend of corruption
increasing day by day due to over interference of
government in economy, poor administrative
system, excessive bureaucracy and complexity,
governmental and private monopolies, non-
transfer regulations, weak management, unequal
distribution of income, lack of accountability of
government and prominent politicians. In public
sector organization phenomena of bribery,
embezzlement, fraud, extortion, favoritism and
nepotism exist that is a big hurdle in the way of
good governance. Phenomena of corruption exist
in all types of government including district level
government, provincial level and also in federal
level (Khan et al, 2004).
21. Qadir (2003) reported that corruption in
Pakistan is so pervading in that it has destroyed
the very fabric of our society and during the last 10
years all elected Governments fail due to
enhancing political corruption.
22. A negative relationship between particular
religion and corruption was found in developing
countries (Herzreld-Weiss, 2003).
23. In most of developing countries development
project suffer from corruption especially in those
countries that lies in Asia and Pacific region (U-
Myint, 2000).
24. Trend of corruption was developed by the
British government in Pakistan before the
independence by awarding of lands, titles and jobs
to specific group. Corruption is a part of culture as
inherited before the independence. After the
independence white-collar crimes had its roots in
form of settlement of refugee claims, industrial
sanctions, and allotment of agriculture lands and
mechanics of money making giving rise to
rampant corruption (Qadir, 2003).
METHODOLOGY
Manag.Adm. Sci. Rev. e-ISSN: 2308-1368, p-ISSN: 2310-872X Volume: 4, Issue: 3, Pages: 837-845
840
Theoretical Framework
Hypothesis of the Study
TABLE 1 HERE:
Sampling Techniques
For this study non-probability sampling
(Convenient sampling techniques) used and all
level of Govt. Employees working in District
Bahawalnagr use as sample size that comprises on
150 employees.
Data Collection Method
After getting approval of all the higher authorities
of respective department, primary data collected
from all level of employees including lower level
employees from BPS 1-10, middle level employees
from BPS 11-16 and higher level employees BPS
17-22.
Response Rate
Two hundred questionnaires were distributed
among the all level of Govt. Employees working in
District Bahawalnagar out of which 150
questionnaires were return back by the employees.
TABLE 2 HERE:
Data Analysis Techniques
To achieve the objective of this study and to
observe the causes of corruption in Pakistan SPSS
used and following steps were adopted to analyze
the available data and finding out the results of the
study.
Reliability Analysis
Reliability analysis used to measures the reliability of each item of scale regarding causes of corruption that including dimension like corruption (Dependent variable), and independent variables including Personal financial problem (PFP), lack of legalization (LOL), forced corruption (FC) and Other Reasons (OR).
Correlation Analysis
Correlation analysis techniques used to observe the relationship between dependent variable Corruption (CR) and independent variable including Personal financial problem (PFP), lack of legalization (LOL), forced corruption (FC) and Other Reasons (OR).
Multiple Regression
To test the hypothesis of the study, multiple regression analysis techniques used. For this purpose average of all items of each dimension was computed and finally this average was used in multiple regressions to test the hypothesis dependent variable Corruption (CR) and independent variable including Personal financial problem (PFP), lack of legalization (LOL), forced corruption (FC) and Other Reasons (OR). FINDING AND CONCLUSION Reliability Analysis
TABLE 3 HERE: Reliability analysis used to measure the reliability of scale that is being used for data collection. Cronbach’s Alpha value is scale is 0.946, it means scale is highly reliable and can be used for data collection and further analysis.
Correlation Analysis
TABLE 4 HERE:
Above cited correlation matrix indicated the positive and significant relationship between dependent variable Corruption (CR) and independent variable including Personal financial problem (PFP), lack of legalization (LOL), forced corruption (FC) and Other Reasons (OR) at 0.01 level.
Co
rru
pti
on
(CR
)
Personal Financial
Problem (PFP)Lack of
Legalization (LOL)
Forced Corruption (FC)
Others Reasons
(OR)
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841
Model of the Study
TABLE 5 HERE:
The Model Summary table indicates that the correlation coefficient (R), using overall model is 0.935 (R2 = 0.875) and the adjusted R2 is 0.872, it means that 87.2% variance in dependent variable Corruption (CR) can be examined through the independent variable including Personal financial problem (PFP), lack of legalization (LOL), forced corruption (FC) and Other Reasons (OR).
TABLE 6 HERE:
The ANOVA table shows that F=203.388 and is
also significant. It means model is good fit and
successfully predict the dependent variable
through independent variables.
TABLE 7 HERE
The coefficient table indicates the standardization
of beta coefficient that is interpret similarly to
correlation coefficient. The t-value and P-value of
independent variable personal financial problem
(PFP), lack of legalization (LOL) and forced
corruption (FC) is 0.000, it means these three
independent variables significantly contribute to
predict the corruption (CR) whereas insignificant
relationship between other reasons (Independent
variable) and corruption (CR) observed.
Summary of Results
TABLE 8 HERE
CONCLUSION
The basic purpose of this study is to observe the
factors or variables that are associated with
corruption. The results of the study shows that
personal financial problem (PFP), Lack of
Legalization (LOL) & Forced Corruption (FC)
having positive association with corruption where
as Other Reasons including lack of technology, low
literacy rate and inefficiency of anti-corruption
department not having any correlation with
corruption.
REFERENCES
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Alt, James E. and David Dreyer Lassen. (2003), “The Political Economy of Corruption in American States”. Journal of Theoretical Politics 15(3): 341-365.
Banfield, E.C., 1958. The Moral Basis of a Backward Society, The Free Press, New York Brunetti, Aymo and Beatrice Weder. (2003), “A
Free Press is Bad News for Corruption”. Journal of Public Economics 87:1801-1824.
Chang, Eric CC and Golden, Miriam A. (2004), “Electoral Systems, District Magnitude and Corruption”. Paper presented at the 2003 annual meeting of the American Political Science Association, August 28-31, 2003
Gadit, Amin A. Muhammad (2011) “Corruption in medical practice: How far have we gone?, Opinion and Debate, Vol. 61, No. 1, January 2011
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Glynn, Patrick, Stephen J. Kobrin, and Moises
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Herzfeld, Thomas and Christoph Weiss. (2003), “Corruption and Legal (In)- Effectiveness: An Empirical Investigation”. European Journal of Political Economy 19: 621-632.
Javaid, Umbreen (2010) “Corruption and its Deep Impact on Good Governance in Pakistan” Pakistan Economic and Social
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Revie, Volume 48, No. 1, pp. 123-134 (Summer 2010).
Khan, M. Kakakhel, N. & Dubnick, M. (2004). Prosecuting Corruption: The Case of Pakistan. Working Paper for the Ethics Forum held by the American Society for Public Administration, Portland. [Online], Available from http://unpan1.un.org/intradoc/groups/ public/documents/APCITY/UNPAN019 113.pdf, [Accessed on 5 June 2010).
Klein Haarhuis, C.M., Leeuw, F.L. (2004). Fighting government corruption: the new World Bank programme evaluated. Journal of International Development, pp. 547-562.
Klitgaard, Robert (1998), “Controlling Corruption”. Berkeley: University of California Press. La Porta, R.; Lopez-De-Silanes, F.; Shleifer, A.;
and Vishny, R. (1999) “The Quality of Government.” Journal of Law, Economics and Organization 15 (1): 222–79.
Lambsdorff, Johann Graf (2001a), “Background Paper to the 2001 Corruption Perceptions Index: Framework Document”. Transparency International and Gottingen University.
Lambsdorff, Johann Graf. (2004). Between Two EvilsInvestors Prefer Grand Corruption! Diskussionsbeitrag Nr. V-31 05, Volkswirtschaftliche Reihe ISSN 1435- 3520.
Laza Kekic (2007), “Index of democracy”, by Kekic, director, country forecasting services, The Economist Intelligence Unit.
Lederman, Daniel, Norman V. Loayza, and Rodrigo R. Soares. (2005) ”Accountability and Corruption: Political Institutions Matter”. Economics and Politics. 17: 1-35.
Lipset, S.M., 1960. Political Man: The Social Bases of Politics. Anchor Books, Garden City.
Lipset, S.M., Seong, K., Torres, J.C., 1993. A comparative analysis of the social requisites of democracy. International Social Science Journal 136 (2), 155-176.
Melgar, Natalia, & Piani, Giorgina & Rossi, Máximo. (2009), Are there differences between perception of corruption at public and private sector? A multicountry analysis. Document No. 01/09
Myint, U. (2000) Corruption: Causes, Consequences and Cures, Asia-Pacific Development Journal,7(2).
Persson, Torsten and Guido Tabellini. (2003), “The Economic Effects of Constitutions”. Cambridge, Mass.: MIT Press.
Qadir Mansoor (2003) “Report on present situation, problems and solutions in the legal system related to corruption control and corruption cases in Pakistan”, International Review of Penal Law, Vol. 74, 2003/1, pp. 515-525.
Taghavi, M. H. Nikoomaram, S. Tootian (2011) “Comparing Impact of Administrative Corruption on Economic Growth in Developing Countries”, International Journal of Management and Business Research, Vol. No. 2, pp. 93-98, Spring 2011 © IAU
Theobald, Robin. (1990), “Corruption, Development, and Underdevelopment”. Houndsmills, Basingstoke, Hampshire, UK: Macmillan.
Treisman, Daniel. (2000), “The Causes of Corruption: A Cross-National Study”. Journal of Public Economics 76: 399-457.
U-Myint (2000) “Corruption: Causes, Consequences and Cures, Asia-Pacific Development Journal Vol. 7, No. 2, December 2000, pp. 33-58
Van Rijckeghem, Caroline and Beatrice S. Weder. (1997), “Corruption and the Rate of Temptation: Do Low Wages in
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the Civil Service Cause Corruption?” IMF Working Paper WP/97/73.ss
APPENDIX
TABLE 1: HYPOTHESIS OF THE STUDY
1
H0: There is no relationship between Corruption (CR) and Personal Financial Problems (PFP).
H1 There is a relationship between Corruption (CR) and Personal Financial Problems (PFP).
2 H0: There is no relationship between Corruption (CR) and Lack of Legalization (LOL). H2 There is a relationship between Corruption (CR) and Lack of Legalization (LOL).
3 H0: There is no relationship between Corruption (CR) and Forced Corruption (FC). H3 There is a relationship between Corruption (CR) and Forced Corruption (FC).
4 H0: There is no relationship between Corruption (CR) and Other Reasons (OR). H4 There is a relationship between Corruption (CR) and Other Reasons (OR).
TABLE 2: RESPONSE RATE
Total Questionnaires Distributed
Total Questionnaires Collected Back
Completed Questionnaires
200 N (%) N (%)
150 75% 150 75%
TABLE 3: RELIABILITY STATISTICS
Cronbach's Alpha No. of Items
0.946 20
TABLE 4: CORRELATIONS
PFP LOL FC OTHER CR
PFP
Pearson Correlation 1
Sig. (2-tailed)
N 150
LOL Pearson Correlation .650** 1
Sig. (2-tailed) .000
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N 150 150
FC
Pearson Correlation .599** .687** 1
Sig. (2-tailed) .000 .000
N 150 150 150
OTHER
Pearson Correlation .843** .533** .527** 1
Sig. (2-tailed) .000 .000 .000
N 150 150 150 150
CR
Pearson Correlation .758** .890** .761** .593** 1
Sig. (2-tailed) .000 .000 .000 .000
N 150 150 150 150 150
**. Correlation is significant at the 0.01 level (2-tailed).
TABLE 5: MODEL SUMMARY
Model R R Square Adjusted R Square
Std. Error of the
Estimate
1 .936a .875 .872 .78840
a. Predictors: (Constant), OTHER, FC, LOL, PFP
TABLE 6:ANOVAB
Model Sum of Squares df Mean Square F Sig.
1 Regression 633.711 4 158.428 254.879 .000a
Residual 90.129 145 .622
Total 723.840 149
a. Predictors: (Constant), OTHER, FC, LOL, PFP
b. Dependent Variable: CR.
TABLE 7: COEFFICIENTS
Model Unstandardized Coefficients
Standardized Coefficients t Sig.
B Std. Error Beta
1 (Constant) -.026 .474 -.055 .957
PFP .373 .060 .379 6.207 .000
LOL .585 .045 .571 12.882 .000
FC .221 .042 .219 5.209 .000
OTHER -.175 .065 -.147 -2.687 .008
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TABLE 8: SUMMARY OF RESULTS:
Sr. #
Hypothesis Results/Finding
s
Hypothesis-1
Ho: There is no relationship between Corruption (CR) and Personal Financial Problems (PFP).
Reject
Hypothesis-2
Ho: There is no relationship between Corruption (CR) and Lack of Legalization (LOL).
Reject
Hypothesis-3
Ho: There is no relationship between Corruption (CR) and Forced Corruption (FC).
Reject
Hypothesis-4
Ho: There is no relationship between Corruption (CR) and Others Reasons (OR).
Fail to Reject
s