ISSN: 2162-6359
International Journal of Economics & Management Sciences
Make the best use of Scientific Research and information from our 700+ peer reviewed, Open Access Journals that operates with the help of 50,000+ Editorial Board Members and esteemed reviewers and 1000+ Scientific associations in Medical, Clinical, Pharmaceutical, Engineering, Technology and Management Fields.
Meet Inspiring Speakers and Experts at our 3000+ Global Conferenceseries Events with over 600+ Conferences, 1200+ Symposiums and 1200+ Workshops on
Medical, Pharma, Engineering, Science, Technology and Business


Dr. Ahmad M. Mashal*

Faculty of Business Studies, Arab Open University/Jordan

*Corresponding Author:
Dr. Ahmad M. Mashal
Faculty of Business Studies
Arab Open University/Jordan

Visit for more related articles at International Journal of Economics & Management Sciences


Corruption, Transparency index, Development.


Over the last few years, the issue of corruption- the abuse of public office for private gain- has attracted both academicians and policy makers. Corruption scandals, as well as other reasons, have toppled governments in both major industrial countries and developing countries.

In transitioning countries, the shift from command economies to free market economies has created massive opportunities for excessive profits and has often been accompanied by a change from a well-organized system of corruption to a more chaotic one. With the end of the cold war, donor countries have placed relatively less emphasis on political consideration in allocating foreign aid among developing countries and have paid more attention to cases in which aid funds have been misused and have not reached the poor. Besides slow economic growth has persisted in many countries with malfunctioning institutions.

Indices produced by private rating agencies grade countries on their levels of corruption, typically using the replies to standardized questionnaires by consultants living in these countries. The replies are subjective, but the correlation between indices produced by different rating agencies is very high.

Corruption is dishonest or illegal behavior, especially by people in official positions, (misused power of the officials), while economists largely view corruption as a sand in the gear of the economy, political scientists view it as the grease in that gear.

Positive effects of corruption can be looked at through the lens of the argument that corruption helps to overcome bureaucratic rigidities and helps maintain allocation efficiency when there is competition between bribers, but not between officials. (Bardhan, 1997, p1322). Small side payments to officials could speed up bureaucratic processes and hence

* ESCWA: Economic and Social Commission for Western Asia .

It includes 13 Countries. In this essay, Iraq and Palestine were excluded due to their circumstances.

promote economic growth (Leff 1964, leys 1970, Kaufmann 1997). Some justify corruption in the enforcement of property rights (Acemogw and Verdier 1998).

While scientific research has failed to support the above argument especially for petty corruption, Ades and Di Tella 1997 p501 conclude that corruption acts mainly as sand in the gear. Kaufman, 1998 p133 also Kaufmann and Wei 2000, showed that there is a positive relationship between incidence of bribery in a country and the time needed to be spent with bureaucrats. In addition, Gupta et al 2000, showed that the quality and quantity of health care and educational services is lower in countries with higher corruption .

Certain illegal acts such as fraud, money laundering, drug trading, and black market operations do not constitute corruption in and of themselves, because they do not involve the use of public power; however, those activities seldom thrive without widespread corruption because people who are involved in those activities must include public officials and politicians.


Three types of corruption can be identified in democratic societies:

1- Grand Corruption

It generally refers to the acts of the political elite (selected officials) by which they exploit their power to make economic policies (Krugger 1993).

A corrupt political elite can change either the national policies or the implementation of national policies to serve its own interests at some cost to the populace; public spending is diverted to these sectors where gains from corruption are greatest; also little attention is paid to whether the needs of the collectivity are served by those works or services ( Porta and Vannucci 1997).

This type of corruption is difficult to identify and measure especially when at least some segments of the population will gain.

This type of corruption may have very serious consequences for a society. To study the link between this type of corruption and the cost of misdirected public policies is difficult because of the lack of precise measurements tools.

However, the extreme situations of this type of corruption are somewhat easier to study where a dictator makes no distinction between his own wealth and that of the country or makes policy decisions that serve exclusively his own interests.

2- Bureaucratic Corruption

This is the corrupt acts of the appointed bureaucrats in their dealings with either their superior (the political elite) or with the public. In its most common form, usually known as petty corruption, the public may be required to bribe bureaucrats either to receive a service to which they are entitled or to speed up a bureaucratic procedure. Corruption in the judiciary, where bribes can lower either the costs or the chances of legal penalties (Rose-Ackerman 1998) is another form of this type of corruption. Models for this type of corruption have relied on equilibrium in markets for supply and demand of services which in turn leads to the analysis of costs and revenues associated with these services. Figure (1)* highlights the three types of corruption in democratic societies which are shown in bold dotted arrows: the relationships between the populace and the political, administrative, and judicial elite. (Arvind K. Jain, 2001)


Figure 1. Corrupt relationships in democratic societies.

3- Legislative Corruption

This refers to the manner and the extent to which the voting behavior of legislators can be influenced. Legislators can be bribed by interest groups to enact legislation that can change the economic rents associated with assets. This type of corruption would include "vote-buying". (Rose-Ackerman 1999)


1- High-level corruption (well organized corruption)

Such types of corruption can be seen as kick back paid to defence ministers in exchange for his or her country's purchase of expensive jet fighter aircrafts.

*see appendixes

(To whom to pay the bribes and how much to offer them are identified and the target will be delivered and guaranteed by corruptor & corruptee).

2- Low-level corruption (Chaotic Corruption)

This type of corruption includes bribes paid to civil servant for issuing a driver's license (bribes need to be paid to several officials, no guaranteed delivery for the target).

Those two types of corruption tend to coexist and reinforce each other and there is little empirical data available to test which type is worse. (Theoretically, the chaotic corruption has worse effects than the well-organized corruptions).


Corruption is wide spread in developing countries, not because their people are different from people elsewhere but because conditions are ripe for it, (P.Mauro, 1996). such as :

1. Motivation to earn income is extremely strong due to:

a) Poverty.
b) Low salaries (wages).
c) High risks of all kinds (illness, accidents and unemployment); (lack of insurance).

2. Opportunities to engage in corruption are numerous, more regulations lead to higher opportunities for corruption.

3. Weak legislative and judicial systems:

4. Law and principles of ethics are poorly developed.

5. Population relative to natural resources is large.

6. Political instability and weak political will.


We can summarize the consequences of corruption as follows:

1. Lower investment, including foreign direct investment.
2. Reduced Economic growth.
3. A shift in the composition of government spending from more productive to less productive activities.
4. Greater inequality and high incidence of poverty.
5. Reducing the efficiency of aid.
6. Exposing the country to currency crises.


To approach the question of how to combat corruption, it would be worthwhile laying out a framework that brings together economic and noneconomic factors.

Mauro (2002) points out the difficulties of fighting widespread corruption; he refers to strategic complementarity "where if one agent does something, it becomes more profitable for other agent to do the same.”

- The economic approach to preventing or at least limiting corruption consequences by responding to the economic causes of corruption. As such, the approach does not seek quick remedies, but, by focusing on fundamental economic growth, tends to bring about conditions where corruption is minimized.

One of the root causes of corruption is the presence of heavy government intervention which is reflected in excessive and complex regulations and a high tax and tariff rates. One of the first tasks in the war against corruption must therefore be the rationalization of the role of the government in the economy.

- Multilateral initiatives can be helpful after being studied carefully before they are conducted. People must be aware of the procedure and the impact of such initiatives on their wellbeing. Public awareness is useful but for this one needs an idea of the size of investment lost to corruption.

- The definition of corruption needs to be clarified, including the types, the elements, and the legal penalties associated with it.

- Setting priorities in dealing with corruption according to the cost of corruption and the payoff to the policy intended to be conducted.

It has to be kept in mind that it took more than a century for England to bring corruption under control. (The U.K ranks 18th at the corruption perception index (CPI)). But Hong Kong and Singapore, for example, shifted reasonably quickly from being very corrupt to being relatively clean (Hong Kong ranked the 16th at the (CPI)). Botswana, Chile, Poland and Uganda have recently made some progress toward controlling corruption. Denmark has least ranking while Cameroon has the highest ranking among 85 countries, (the transparency international 1998 CPI).

- In general, there appears to be a lower threshold below which income from corruption becomes acceptable and an upper threshold above which corruption becomes unacceptable. Determination of such a threshold is subjected to socio-economic and cultural criteria.

In most countries where there is at least some corruption, there seems to be an acceptance of the "petty" corruption by which lower level of administrators supplement their income. However, some societies react strongly to such type of corruption as if they were large scandals.

We can conclude that there are three possible approaches to reducing corruption. A 'lawyer's' approach would increase the costs and risks of corruption by toughening the laws and their enforcement (Ades and D. Tella, 1997a p508, Rose-Ackerman 1997a, pp46-50, and Tanzi 1998, p126). Increasing the risk associated with corrupt deals may have the effect of raising their transaction costs and hence, may discourage corruption.

A 'business man's' approach would 'buy out' the corruption by offering incentives to officials not to engage in corrupt activities. This could be done by offering them higher wages and by offering investors legitimate routes for earning rents. However, there are some difficulties with this approach especially if it is not generally well perceived.

Finally, a 'market' or an 'economist's' approach would increase the role of competition and markets, thus reducing the range and value of transactions that can potentially be exploited by corrupt officials. One way to reduce officials’ indiscretion would be to increase competition between bureaucracies by allowing clients to obtain services from more than one organization (Shleifer and Vishny 1993, p.123).

Institutionally, fighting corruption would require a commitment from the leadership (Ruzindana 1997, Tanzi 1998 p.1233) together with a strategy that includes a thorough diagnostic of the existing state of corruption in a country.

There also seems to be little disagreement that international private firms and organizations can play a very important role in combating corruption (Klitgaard 1996,1998, Leiken 1997, Rose-Ackerman 1997a, p.53).

There is strong evidence that the organization of political institutions has a strong influence on the type of corruption that can prevail in a society. Democracies are less prone to corruption (Treisman 2000) without guaranteeing probity (Rose-Ackerman 2000).

In brief, we ought to acknowledge that corruption exists in every society, on a different level. The alleviation of such a phenomenon is not just the responsibility of the government but also of the whole society at national and international levels.

The literatures indicate that economic and noneconomic factors are neither independent of each other nor with the corruption level. That leaves us with the following questions:

- Are poorer countries corrupt while richer countries clean?
- What do elites in developing countries think about corruption?
- How does openness relate to corruption?


Corruption and Economic growth: (general)

Despite the paradoxical nature surrounding this subject, the conclusions suggest that corruption must have an impact on efficiency, growth and welfare. Maro(1995) analysis finds that corruption is negatively associated with investment and growth

Wei (1997a) concludes that corruption reduces foreign direct investment. Finally, Gupta, Davoodi and Alouso-Terme (1998) find that corruption tends to increase inequality and poverty due to lower economic growth.

Corruption and Government Expenditure: (Specific)

Corruption and Government Expenditure is the central aim of this paper as the following sections explain:


1) Government regulations provide incentives for corruption.
2) Corruption has a distortive impact on resource allocation, if this is true then
3) Corruption would reduce spending on health and education.


The major objective of this paper is to investigate the consequences of corruption for resource allocation, specifically on health and education spending.

The data

The components of government expenditure were divided into two major categories: expenditure on health and education.

Unfortunately, although there are other types of public expenditures, such as defense, social security and welfare, transportation, general public services and economic activities, which may in fact provide sources for many lucrative opportunities for corrupt behavior, only these two categories were commonly available for the ESCWA Countries. The data for the components of government expenditure is from the World Bank group and WHO Reports. The corruption perception index (CPI) used in this essay is from Transparency International Reports for the period 1995-2008 (appendices A, B, and C) (all types of different sources of data are subjective and therefore biased towards the foreign investors' perception of the various economies; Nevertheless, they are highly correlated; hence, the results can be considered robust as far as the choice of alternative indices is concerned).

It has to be noted that the lower the score of the CPI the higher probability of corruption. All indices take values between 0 (most corrupt) and 10 (least corrupt).

Thus, when we move on the estimation results, one should keep in mind that negative values of the corruption coefficient estimators denote a positive relationship between the level of corruption and the respective dependent variable.

Estimation Methodology

The methodology employed in this paper is the estimation using cross-section time series data for ESCWA countries. The reasons that these countries were chosen are two: first, they belong, all or most, to the same culture and tradition; therefore the use of time series data is possible. Second, they belong, all or most, to an average rate of corruption (2 to 6).

Regression Results

This section analyzes empirically the relationship between corruption and the composition of public expenditure. The empirical findings are based on the cross section-time series procedure for ESCWA Countries for the period (1995-2008).

Tables 1 and 2 summarize the results for a simple regression model. Each component of public expenditure (as a ratio of GDP) is regressed on constant and the corruption index.

Dependent Variable: Expenditure on education as percentage of GDP
Constant Corruption Index
95% Confidence Interval
Upper Bound Lower Bound
Bahrain 2.78 0.019
0.61 0.516 -0.136
Egypt 3.632 0.0255
0.56 1.37 -0.863
Jordan 13.55 0.047
0.69 0.494 -0.343
Kuwait 5.61 0.007
0.64 2.7 -2.7
Lebanon 6.615 1.252
0.6 2.456 -0.049
Oman 2.73 0.177
0.59 0.577 -0.224
Qatar -0.684 0.0681
0.67 1.67 -3.09
Saudi Arabia 6.12 0.0125
0.68 2.267 -2.017
Syria 3.67 0.053
0.71 0.553 -0.659
U.A.E. 2.101 0.059
0.77 0.527 -0.645
Yemen -2.004 3.96
0.7 12.7 -4.86
1.325 0.016
0.72 1.7 -0.252

Table (1) : statistical estimation of the relation between CPI and expenditure on education as percentage of GDP for ESCWA Countries (1995-2008)

Dependent Variable: Expenditure on Health as percentage of GDP
Constant Corruption Index
95% Confidence Interval
Upper Bound Lower Bound
Bahrain 2.93 0.229
0.8 0.907 -0.449
Egypt 0.05 1.7
0.69 3.506 0.048
Jordan 4.596 0.99
0.76 2.02 -0.048
Kuwait 6.05 0.653
0.7 2.56 -1.562
Lebanon 7.74 0.745
0.54 2.903 -1.414
Oman 3.74 0.134
0.67 0.163 -0.43
Qatar 3.647 0.022
0.8 0.81 -0.77
Saudi Arabia 0.88 0.746
0.74 1.88 -0.39
Syria 2.68 0.654
0.72 1.208 0.101
U.A.E. -0.084 0.568
0.73 1.438 -0.303
Yemen 4.06 0.282
0.68 1.7 -1.17
5.108 0.076
0.61 0.64 -0.67

Table (2) : statistical estimation of the relation between CPI and expenditure on Health as percentage of GDP for ESCWA Countries (1995-2008)

From the two tables below, one thing that has to be indicated about the results is fair value of adjusted R-squared, which indicate that the corruption index can not be considered as the sole determinant of the referred component of public expenditure, namely, education and health.

As far as the relation of corruption and each type of government spending is concerned, all estimates are statistically significant at 5% level and their magnitudes are considerable. The signs of the coefficients seem to be in accordance with what it has been discussed thus far. (A positive sign of a coefficient reveals a negative relation between corruption and the respective dependent variable and vice versa). Corruption is found to be negatively related to education and health spending. To see the impact of this relationship, we can say that one point improvement on the corruption index of ESCWA countries as a whole would increase public spending on education and health by 0.016 and 0.07 of GDP respectively.

We note that the impact of the enhancement in the transparency record of these countries will lead to a greater share of public spending of GDP on health than on education. This is because the health sector provides larger lucrative opportunities for corrupt officials (through high technology products transactions provided by international monopolies and oligopolies which are difficult to be monitored by people).

On the other hand, education gives less attractive opportunities to corruption where salaries and wages, the major components of the education spending, are not difficult to be monitored and controlled.


Our brief review of the literatures revealed that corruption is a result of government intervention and weak state management. However, this is not necessarily always true, as the case of Singapore, where government plays a major role in the economy; yet the country consistently receives one of the highest scores in the world for a corruption-free economy.

Despite such exceptions, the corruption can have large implications for the distortion of resource allocation and its impact on the development of the economy as a whole. That will be manifested through the attempt of the corrupt government officials to channel public funds to those spendings that provide more lucrative opportunities.

The results of this conducted study proved that the expenditures on education and health are negatively related to the level of corruption, which has great impact on health, probably because in general its provision is associated with high technology products provided by international monopolies and oligopolies.

One approach to solving corruption may involve raising risks associated with contracting deals, and improvements to the monitoring and accounting system should be considered by governments. In general, the system of increasing the share of these spendings stands as unattractive to corruption and should be taken into account.

Creating an effective incentive system by the international and local anticorruption agencies, to those who are highly involved in decision making and law enforcement at levels of legal, political and social institutions is an essential element for lessening corruption.

Also, introducing the subject of professional ethics in every field of education may form a good remedy for the corruption phenomenon.


Bardhan, p.(1997) Corruption and Development: A Review of Issues Journal of Economic Literatures, 35 p1322.
Leff, N.H. (1964) Economic Development Through Bureaucratic Corruption. In Arnold J. Heidenheimer, (ed.) Political corruption: Readings in Comparative Analysis (pp. 8-14), New York: Holt Reinehart.
Leys, C. (1970) What is the Problem About Corruption? In A.J. Heidenheimer, (ed.) Political Corruption: Readings in Comparative Analysis. (pp.31-37). New York: Holt Reinehart.
Kaufmann, D. (1998) Research on Corruption: Critical Emperical Issues, In Jain (1998a) 129-176.
Kaufman, D. (1997) Economic Corruption : The Facts. Foreign Policy, 107, (Summer), 114-31.
Acemoglu,  D.   and  Verdier,  T.   (1998)  Property  Rights  and  the  Allocation  of  Talent:  A General Equilibrium Approach.  The Economic Journal, 108 (September) , 1381-1403.
Ades, A. and Di Tella, R. (1997a) The New Economics of Corruption: A Survey and Some New Results. Political Studies, 45, (special Issue), 796-515.
Kaufmann, D. and Wei, S.-J. (2000) Does 'Grease Money' Speed Up The Wheels of   Commerce? Working Paper wp/00/64, Washington DC. International Monetary Fund, 21 pages.
Gupta, S. Davoodi, M. and Trongson, E. (2000a) corruption and Provision of Health Care and Education Services.  In Jain (2000), Forthcoming.
Krueger, A.O, (1993a) Plicitical Economy of Policy Reform in Developing countries, Mass: MIT  Press.
Porta, D.D. and Vannucci, A. (1997) The 'Perverse Effects' of Political Studies, 45, (Special Issue), 516-38.
Rose-Ackerman, S. (1999) Corruption and Government: Causes, Consequences, and Reform, Cambridge: Cambridge University Press.
Rose-Ackerman, S. (1998) Corruption and Development. Annual World Bank Conference on Development Economics 1997: pp 35-57.
Mauro, P. (1998) " Corruption : Causes, Consequences and Agenda for Further Research" Finance and Development (March) 12-14.
Arvid, K. Jain, (2001) Corruption : A Review, Journal of Economic Surveys, vol. 15, No. 1, Blackwell Publisher Ltd.
Mauro, p. (2002) " The Persistence of Corruption and Slow Economic Growth". International  Monetary Fund Working Paper, wp/02/213.
Rose-Ackerman, S. (1997a) The Political Economy of corruption.  In Elliot (1997), 31-60. Tanzi, V. (1998) Corruption and the Budget: Problems and Solutions. In Jain (1998a), 111-127. Shleifer, A. and Vishny, R.(1993) Corruption. Quarterly Journal of Economics, 108,3, 99-617.
Ruzindana, A. (1997) The Importance of Leadership in Fighting Corruption in Uganda.  In K  A.  Elliott (ed.) Corruption and the Global Economy.  (pp.133-145).  Washington DC.  Institute  for International Economics.
Klitgaard, R. (1996) Roles of International Organizations in the Fight Against Corruption. Paper Presented at the XIII th International Congress of the International Society of Social Defense. Lecce, Italy, November 28-30.
Klitgaard, R. (1998) International Cooperation Against Corruption- Finance and Development, 35,1,3-6. Treisman, D.  (2000) The Causes of Corruption: Across-National Study.  Journal of Public Economics, 76, (June), 399-457.
Rose-Ackerman, S.(2000) Political Corruption and Democratic Structure. In Jain (2000) Forthcoming. Mauro, P. (1995) "Corruption and Growth" Quarterly Journal of Economics pp, 681-712.
Wei, S., (1997a) "How Taxing is Corrption on International Investors" NBER working paper 6030. Gupta, S., Davoodi, H. and Alonson-Term, R. (1998) " Does Corruption Affect Income  Inequality and Poverty? IMF Working Paper 76/98
World Bank Group Reports.
WHO Reports.
Transparency International Reports.


Appendix (A) : Corruption Perception Index (CPI) for ESCWA Countries (1995-2008)***

Year Bahrain Egypt Jordan Kuwait Lebanon Oman Qatar Saudi Arabia Syria U.A.E. Yemen Average
3446 6 305 904 903 203 9 6 209 203 506 302 90..4
3445 602 203 903 9 2 903 609 203 206 504 306 903.4
3443 6 304 906 903 206 906 904 2 203 604 309 90.34
3444 5 304 905 9 203 6 606 205 206 5 303 903.4
3444 606 202 903 906 206 506 905 206 209 604 306 90296
3... 6 203 909 906 306 5 604 9 9 606 309 9034
3..3 604 205 905 6 206 606 5 2 306 509 305 909.4
3..3 5 209 904 9 2 906 604 205 206 604 303 90396
3..2 503 202 906 602 2 502 605 204 209 603 305 90952
3..9 604 203 905 905 303 503 603 209 209 503 309 90234
3..6 604 209 602 903 203 502 604 209 209 503 303 90633
3..5 603 202 603 904 205 609 5 202 304 503 305 906
3..3 6 304 903 902 2 903 5 209 309 603 306 90.34
3..4 609 304 603 902 2 606 506 206 303 604 302 90334
Average 60626 20333 90363 9096 20333 60233 60634 20926 203 5 3096 9035

Appendix (B): Expenditure on Health as Percentage of GDP for ESCWA Countries (1995-2008)*

Year Bahrain Egypt Jordan Kuwait Lebanon Oman Qatar Saudi Arabia Syria U.A.E. Yemen Avg.
3446 903 204 304 205 3.03 206 903 305 606 902 902 904525
3445 905 902 403 209 3.03 209 903 305 606 9 9 9044.
3443 903 903 403 205 3305 203 205 303 602 204 903 60.69
3444 6 904 404 902 3303 203 903 2 603 903 6 60933
3444 903 606 404 203 3303 206 205 204 603 203 905 6034.
3... 9 605 409 203 33 2 302 9 904 203 906 90443
3..3 902 5 405 206 3.03 2 303 903 904 203 6 60325
3..3 909 502 402 205 409 203 304 9 6 202 6 90554
3..2 902 509 402 203 404 203 902 204 603 203 609 603525
3..9 9 503 3.03 304 404 304 204 206 906 304 6 90496
3..6 204 503 3.06 303 403 306 903 209 903 305 603 90425
3..5 204 502 404 303 404 302 902 209 204 305 905 90396
3..3 209 509 3. 309 4 306 903 205 204 303 6 90434
3..4 205 505 404 305 403 304 909 203 9 305 904 90452
Mean 903 605 402.3 2036 3.0.59 20.26 20333 2096 90336 20233 9036 60.24

Appendix (C) : Expenditure on Education as Percentage of GDP for ESCWA Countries (1995-2008)

Year Bahrain Egypt Jordan Kuwait Lebanon Oman Qatar Saudi Arabia Syria U.A.E. Yemen Avg.
3446 205 9 4 5 3 9 3 5 2 3 9 90.69
3445 206 6 3 5 2 2 9 6 9 3 6 90324
3443 206 9 5 5 2 2 2 3 2 3 6 90325
3444 205 9 4 6 3 9 9 6 9 3 3. 9054.
3444 206 9 903 304 3 903 2 4 9 3 3. 90233
3... 9 6 3 303 903 9 3 3 2 305 406 90696
3..3 9 9 905 6 306 905 2 5 2 305 6 20425
3..3 9 6 3 403 305 2 9 3 2 3 6 90534
3..2 9 9 4 403 3 9 3 5 9 3 3. 90433
3..9 9 6 3 4 305 205 305 504 2 302 405 90332
3..6 9 6 906 603 2 2 9 3 9 3 3. 905
3..5 9 9 6 9 3 9 2 4 9 3 3. 904.4
3..3 9 9 4 6 2 9 9 3 2 3 4 90333
3..4 9 6 3 5 9 2 9 5 9 3 5 90696
Mean 20426 90934 50663 60634 303.3 20533 20339 50663 206 3036 3056 90943

Select your language of interest to view the total content in your interested language
Post your comment

Share This Article

Relevant Topics

Article Usage

  • Total views: 11431
  • [From(publication date):
    April-2011 - Aug 24, 2017]
  • Breakdown by view type
  • HTML page views : 7675
  • PDF downloads :3756

Post your comment

captcha   Reload  Can't read the image? click here to refresh

Peer Reviewed Journals
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

Agri, Food, Aqua and Veterinary Science Journals

Dr. Krish

[email protected]

1-702-714-7001 Extn: 9040

Clinical and Biochemistry Journals

Datta A

[email protected]

1-702-714-7001Extn: 9037

Business & Management Journals


[email protected]

1-702-714-7001Extn: 9042

Chemical Engineering and Chemistry Journals

Gabriel Shaw

[email protected]

1-702-714-7001 Extn: 9040

Earth & Environmental Sciences

Katie Wilson

[email protected]

1-702-714-7001Extn: 9042

Engineering Journals

James Franklin

[email protected]

1-702-714-7001Extn: 9042

General Science and Health care Journals

Andrea Jason

[email protected]

1-702-714-7001Extn: 9043

Genetics and Molecular Biology Journals

Anna Melissa

[email protected]

1-702-714-7001 Extn: 9006

Immunology & Microbiology Journals

David Gorantl

[email protected]

1-702-714-7001Extn: 9014

Informatics Journals

Stephanie Skinner

[email protected]

1-702-714-7001Extn: 9039

Material Sciences Journals

Rachle Green

[email protected]

1-702-714-7001Extn: 9039

Mathematics and Physics Journals

Jim Willison

[email protected]

1-702-714-7001 Extn: 9042

Medical Journals

Nimmi Anna

[email protected]

1-702-714-7001 Extn: 9038

Neuroscience & Psychology Journals

Nathan T

[email protected]

1-702-714-7001Extn: 9041

Pharmaceutical Sciences Journals

John Behannon

[email protected]

1-702-714-7001Extn: 9007

Social & Political Science Journals

Steve Harry

[email protected]

1-702-714-7001 Extn: 9042

© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version