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Funding, Competition and the Efficiency of NGO Aid: An Empirical Analysis of US NGOs Engaged in Foreign Aid Peter Nunnenkamp (Kiel Institute for the World Economy) Hannes Öhler (University of Goettingen) New Directions in Welfare, 2011 Congress OECD Paris, France, 7 July 2011

Peter Nunnenkamp (Kiel Institute for the World Economy) Hannes Öhler (University of Goettingen)

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Funding, Competition and the Efficiency of NGO Aid: An Empirical Analysis of US NGOs Engaged in Foreign Aid. Peter Nunnenkamp (Kiel Institute for the World Economy) Hannes Öhler (University of Goettingen) New Directions in Welfare, 2011 Congress OECD Paris, France, 7 July 2011. Motivation. - PowerPoint PPT Presentation

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Page 1: Peter Nunnenkamp (Kiel Institute for the World Economy) Hannes Öhler (University of Goettingen)

Funding, Competition and the Efficiency of NGO Aid:

An Empirical Analysis of US NGOs Engaged in Foreign Aid

Peter Nunnenkamp (Kiel Institute for the World Economy)

Hannes Öhler (University of Goettingen)

New Directions in Welfare, 2011 Congress

OECD Paris, France, 7 July 2011

Page 2: Peter Nunnenkamp (Kiel Institute for the World Economy) Hannes Öhler (University of Goettingen)

Motivation

• NGOs play an important role in foreign aid:– more than 40% of development aid by the United

States is channeled through NGOs• …and are widely believed to be more effective

than official aid agencies (e.g., McCoskey 2009)• Open question whether NGOs reduce

administration costs of aid delivery• administration and management expenses of US-

based NGOs engaged in foreign aid: 6.1% of the overall budget

• Administration costs of official US agencies: 5.7%

Page 3: Peter Nunnenkamp (Kiel Institute for the World Economy) Hannes Öhler (University of Goettingen)

Motivation, cont.

• However, the share of non-charitable expenses varies greatly:– Expenses for admin. and management: 0% - 50%– Fundraising expenses: 0% - 40%• “Excessive” fundraising:

“…from finding solutions and helping needy recipients to pleasing their donors and winning television coverage” (The Economist, January, 2000)

• Perquisite consumption:– NGO entrepreneurs/managers may divert part of the revenues

for private use• Possible determinants:

– Competition among NGOs– Official funding

Page 4: Peter Nunnenkamp (Kiel Institute for the World Economy) Hannes Öhler (University of Goettingen)

Expenses forfundraising

Costs of administration

and management

Competition +/- ? +/- ?

Official funding - +

Hypotheses

Page 5: Peter Nunnenkamp (Kiel Institute for the World Economy) Hannes Öhler (University of Goettingen)

Data and method

• Cross-section of >500 US-based NGOs with foreign aid activity in 2007

• Data from the USAID registry:– Any US NGO has to register in order to apply for official

funding • Costs of admin./management and expenses for

fundraising as alternative dependent variables (% of each NGO’s total expenses)

• Explanatory variables of main interest: competition and official funding

• Official funding: share of public funds in total revenue of each NGO

Page 6: Peter Nunnenkamp (Kiel Institute for the World Economy) Hannes Öhler (University of Goettingen)

• We measure competition with respect to the recipient countries in which the NGOs are active

• Sum of the foreign aid expenditures of NGO j=1,…,N that overlap with the foreign aid expenditure of NGO i

• Divided by the total population of NGO i’s country portfolio

Measure of competition

NGO i NGO j=1,…,N

Burkina Faso

Nigeria

Cambodia

Vietnam

Bolivia

Afghanistan

Cameroon

Page 7: Peter Nunnenkamp (Kiel Institute for the World Economy) Hannes Öhler (University of Goettingen)

Data and method, cont.

• Various controls to account for NGO heterogeneity:– size, relative importance of foreign aid activity,

degree of diversification (countries, sectors), experience, HQ location, characteristics of country portfolio, sector dummies

• OLS / Tobit to account for the censored nature of the dependent variables (17 % of [small] NGOs do not report any fundraising)

Page 8: Peter Nunnenkamp (Kiel Institute for the World Economy) Hannes Öhler (University of Goettingen)

Results

  (1) (2) (3) (4)

OLS Tobit OLS TobitShare of admin. and manag.

costs Share of expenses for fundraising

         

Share of official funds 0.032** 0.032** -0.059*** -0.077***

(0.013) (0.013) (0.008) (0.010)

Overlap with overseas programs -0.079** -0.081** 0.053 0.062

of other NGOs (weighted by population) (0.035) (0.033) (0.038) (0.039)

Controls yes yes yes yes

Sector dummies yes yes yes yes

Observations 518 518 518 518

R-squared 0.234   0.212  

Robust standard errors in parentheses

*** p<0.01, ** p<0.05, * p<0.1

Page 9: Peter Nunnenkamp (Kiel Institute for the World Economy) Hannes Öhler (University of Goettingen)

Results, cont.

• Different sources of official funding (USAID, other US gov., other gov. and IO) have similar negative effects on fundraising, but USAID stands out in increasing administration costs

• The negative impact of competition on admin. costs turns insignificant when we exclude NGOs with particularly high admin. costs (at least 2 SD above the mean)

Page 10: Peter Nunnenkamp (Kiel Institute for the World Economy) Hannes Öhler (University of Goettingen)

Conclusion

• It seems that competition among peers helps to improve the efficiency of NGO aid…– …as it does not lead to excessive fundraising,– …and tends to reduce administration costs.

• Highly unproductive NGOs either reduce their admin. costs or exit the market

• Implications for the debate on donor coordination and aid fragmentation: more coordination and specialization may come at the cost of NGO efficiency

Page 11: Peter Nunnenkamp (Kiel Institute for the World Economy) Hannes Öhler (University of Goettingen)

Conclusion, cont.

• In some contrast to conventional wisdom (Edwards/Hulme: “too close for comfort”), official funding may induce NGOs to spend more on charitable activity…

• …as higher costs of administration are more than offset by lower expenses for fundraising

• Higher admin. costs due to officially requested bureaucracy or softer budget constraints (perquisite consumption)?

Page 12: Peter Nunnenkamp (Kiel Institute for the World Economy) Hannes Öhler (University of Goettingen)

Future work

• Instrument the variables of interest with data of the year 2001 to mitigate endogeneity concerns

• Specification in differences (2007 – 2001) to control for unobserved NGO heterogeneity

• Follow-up study: Are less efficient NGOs less likely to survive?

• Highly relevant for the NGOs themselves, the private and official donors of NGOs, and the aid receiving countries

Page 13: Peter Nunnenkamp (Kiel Institute for the World Economy) Hannes Öhler (University of Goettingen)

Thank you for your attention!

Page 14: Peter Nunnenkamp (Kiel Institute for the World Economy) Hannes Öhler (University of Goettingen)

Appendix A: Measure of competition

i

ji j

ijj

i Population

activeCountries

activeCountriespenseseOverseas

Overlap

559

_

_*x_

Page 15: Peter Nunnenkamp (Kiel Institute for the World Economy) Hannes Öhler (University of Goettingen)

Appendix B: Baseline results  (1) (2) (3) (4) (5) (6) (7) (8)

OLS OLS Tobit Tobit OLS OLS Tobit TobitShare of administrative and management

costs Share of fund raising costs                 Registration date -0.002 -0.007 -0.000 -0.005 0.011 0.016 0.031 0.033

(0.041) (0.045) (0.042) (0.044) (0.031) (0.032) (0.036) (0.035)Revenue (logged) -1.235*** -1.045*** -1.217*** -1.025*** 0.294** 0.380*** 0.551*** 0.644***

(0.192) (0.218) (0.195) (0.211) (0.123) (0.132) (0.152) (0.157)Share of official funds 0.051*** 0.032** 0.051*** 0.032** -0.052*** -0.059*** -0.070*** -0.077***

(0.012) (0.013) (0.012) (0.013) (0.007) (0.008) (0.010) (0.010)Share of private revenue 0.049** 0.032 0.047** 0.030 -0.016 -0.023* -0.024 -0.034**

(0.021) (0.021) (0.021) (0.020) (0.013) (0.013) (0.016) (0.015)Share of overseas programs -0.007 -0.014 -0.008 -0.014 -0.012 -0.008 -0.013 -0.006

(0.010) (0.011) (0.010) (0.010) (0.009) (0.009) (0.010) (0.010)Countries active (weighted by revenue) -10.589 -11.177 -10.235 -10.807 -10.307 -14.546* -18.146 -23.627

(6.765) (7.098) (7.059) (7.145) (8.333) (8.538) (17.063) (18.315)Sectors active (weighted by revenue) 0.344 1.232 0.140 1.086 4.418 5.814* 6.406 8.329

(1.890) (1.999) (2.085) (2.091) (3.160) (3.290) (4.810) (5.118)Overlap with overseas programs of other NGOs (weighted by population) -0.076** -0.079** -0.078** -0.081** 0.047 0.053 0.055 0.062

(0.031) (0.035) (0.031) (0.033) (0.042) (0.038) (0.045) (0.039)Number of NGOs active in sectors 0.000 -0.001 0.000 -0.001 -0.001* 0.001 -0.001 0.001

(0.001) (0.003) (0.001) (0.003) (0.001) (0.002) (0.001) (0.002)GDP per capita (average; logged) 1.101* 0.775 1.100* 0.789 -0.729 -0.768 -0.720 -0.711

(0.633) (0.681) (0.641) (0.658) (0.547) (0.558) (0.609) (0.598)Control of Corruption (average) -1.134 -1.247 -1.221 -1.336 2.414* 2.289* 2.567* 2.373*

(1.336) (1.410) (1.353) (1.365) (1.243) (1.169) (1.389) (1.257)Distance to capital (average; logged) 0.853 0.536 0.872 0.557 0.925 0.577 1.105 0.705

(0.991) (1.086) (1.006) (1.052) (1.017) (0.942) (1.136) (1.005)Income per capita - HQ (logged) 3.627** 2.503 3.669** 2.525 0.345 0.185 0.282 0.073

(1.631) (1.749) (1.648) (1.702) (1.128) (1.139) (1.271) (1.231)Constant -24.919 0.924 -28.572 -2.582 -24.012 -29.728 -67.962 -68.249

(89.341) (95.105) (90.090) (92.072) (65.197) (69.041) (75.524) (76.041)

Sector dummies no yes no yes no yes no yesObservations 518 518 518 518 518 518 518 518R-squared 0.144 0.234     0.101 0.212    Robust standard errors in parentheses*** p<0.01, ** p<0.05, * p<0.1

Page 16: Peter Nunnenkamp (Kiel Institute for the World Economy) Hannes Öhler (University of Goettingen)

Appendix C: Extension and Robustness  (1) (2) (3) (4) (5) (6)

OLS OLS Tobit Tobit OLS TobitShare of administrative and management costs Share of fund raising costs

             Registration date -0.007 -0.008 -0.006 -0.007 -0.017 -0.007

(0.045) (0.032) (0.043) (0.031) (0.022) (0.025)Revenue (logged) -1.067*** -0.672*** -1.046*** -0.657*** 0.286*** 0.469***

(0.217) (0.164) (0.210) (0.159) (0.104) (0.121)Share of official funds 0.036*** 0.039*** 0.035*** 0.039*** -0.046*** -0.059***

(0.014) (0.012) (0.013) (0.011) (0.006) (0.008)Share of private revenue 0.033 0.039** 0.031 0.038** -0.013 -0.020

(0.021) (0.017) (0.020) (0.017) (0.011) (0.013)Share of overseas programs -0.014 -0.018** -0.014 -0.018** -0.005 -0.004

(0.011) (0.009) (0.010) (0.009) (0.006) (0.007)Countries active (weighted by revenue) -10.357 -7.105 -10.038 -6.876 -8.206** -19.062**

(7.071) (6.011) (7.064) (5.967) (3.636) (9.070)Sectors active (weighted by revenue) 0.904 1.153 0.786 1.078 2.831** 5.514**

(2.013) (1.757) (2.067) (1.776) (1.323) (2.339)Overlap with overseas programs of other NGOs (weighted by population) -0.082** -0.045 -0.084** -0.046 0.016 0.023

(0.035) (0.031) (0.033) (0.029) (0.028) (0.031)Number of NGOs active in sectors -0.002 -0.001 -0.002 -0.001 -0.001 -0.000

(0.003) (0.002) (0.003) (0.002) (0.002) (0.002)GDP per capita (average; logged) 0.818 0.815 0.828 0.822 -0.511 -0.471

(0.678) (0.540) (0.652) (0.518) (0.357) (0.402)Control of Corruption (average) -1.376 -1.056 -1.459 -1.116 0.830 0.820

(1.405) (1.145) (1.355) (1.102) (0.810) (0.901)Distance to capital (average; logged) 0.504 0.611 0.526 0.628 0.381 0.494

(1.085) (0.865) (1.050) (0.834) (0.626) (0.705)Income per capita - HQ (logged) 2.492 0.979 2.515 0.983 -0.509 -0.658

(1.750) (1.286) (1.700) (1.250) (0.823) (0.897)Share of fund raising costs 0.056 0.095* 0.055 0.094*

(0.059) (0.053) (0.060) (0.054)Constant 2.600 11.499 -0.972 9.388 41.066 19.053

(95.000) (67.436) (91.864) (65.296) (47.743) (53.075)

Sector dummies yes yes yes yes yes yesOutlier excluded no yes no yes yes yesObservations 518 492 518 492 495 495R-squared 0.235 0.268     0.226  Robust standard errors in parentheses*** p<0.01, ** p<0.05, * p<0.1

Page 17: Peter Nunnenkamp (Kiel Institute for the World Economy) Hannes Öhler (University of Goettingen)

Appendix D: Differentiation of official funds  (1) (2) (3) (4) (5) (6) (7) (8)

Share of administrative and management costs Share of fund raising costs                 Registration date -0.003 -0.007 -0.001 -0.004 0.011 0.016 0.012 0.019

(0.041) (0.045) (0.042) (0.045) (0.031) (0.032) (0.031) (0.032)Revenue (logged) -1.232*** -1.042*** -1.237*** -1.045*** 0.294** 0.380*** 0.294** 0.385***

(0.192) (0.218) (0.193) (0.218) (0.123) (0.132) (0.124) (0.133)Share of official funds - contracts 0.118*** 0.080* -0.045** -0.055**

(0.039) (0.046) (0.019) (0.022)Share of official funds - others 0.044*** 0.027** -0.053*** -0.059***

(0.012) (0.013) (0.008) (0.008)Share of USAID funds 0.063*** 0.044** -0.059*** -0.060***

(0.020) (0.021) (0.009) (0.010)Share of other US government support 0.044** 0.017 -0.053*** -0.062***

(0.022) (0.022) (0.011) (0.013)Share of other government or IO support 0.047** 0.034 -0.041*** -0.055***

(0.019) (0.020) (0.012) (0.013)Share of private revenue 0.050** 0.033 0.049** 0.031 -0.016 -0.023* -0.015 -0.024*

(0.021) (0.021) (0.021) (0.021) (0.013) (0.013) (0.013) (0.013)Share of overseas programs -0.005 -0.013 -0.009 -0.016 -0.012 -0.008 -0.011 -0.008

(0.010) (0.011) (0.010) (0.011) (0.009) (0.009) (0.009) (0.009)Countries active (weighted by revenue) -10.814 -11.411 -10.791 -11.395 -10.330 -14.563* -10.187 -14.596*

(6.826) (7.109) (6.759) (7.044) (8.350) (8.554) (8.333) (8.557)Sectors active (weighted by revenue) 0.365 1.278 0.374 1.299 4.420 5.818* 4.414 5.858*

(1.912) (2.009) (1.896) (1.984) (3.163) (3.295) (3.174) (3.297)Overlap of overseas programs of other NGOs (weighted by population) -0.079*** -0.081** -0.079** -0.081** 0.047 0.053 0.049 0.054

(0.030) (0.034) (0.031) (0.034) (0.042) (0.038) (0.042) (0.038)Number of NGOs active in sectors 0.000 -0.001 0.000 -0.002 -0.001* 0.001 -0.001* 0.001

(0.001) (0.003) (0.001) (0.003) (0.001) (0.002) (0.001) (0.002)GDP per capita (average; logged) 0.977 0.712 1.048* 0.766 -0.742 -0.772 -0.659 -0.726

(0.640) (0.682) (0.636) (0.678) (0.554) (0.560) (0.556) (0.563)Control of Corruption (average) -0.885 -1.070 -1.030 -1.160 2.439* 2.302* 2.348* 2.254*

(1.349) (1.418) (1.346) (1.414) (1.254) (1.179) (1.255) (1.180)Distance to capital (average; logged) 0.785 0.504 0.765 0.489 0.918 0.575 1.010 0.636

(0.975) (1.073) (0.995) (1.086) (1.020) (0.943) (1.023) (0.946)Income per capita - HQ (logged) 3.646** 2.559 3.589** 2.514 0.347 0.189 0.332 0.147

(1.634) (1.743) (1.636) (1.752) (1.129) (1.141) (1.133) (1.140)Constant -21.584 2.669 -25.211 -2.568 -23.669 -29.602 -27.411 -35.794

(88.751) (94.722) (90.110) (96.038) (65.358) (69.175) (65.687) (69.360)

Sector dummies no yes no yes no yes no yesObservations 518 518 518 518 518 518 518 518R-squared 0.149 0.236 0.146 0.235 0.101 0.212 0.101 0.212Robust standard errors in parentheses*** p<0.01, ** p<0.05, * p<0.1

Page 18: Peter Nunnenkamp (Kiel Institute for the World Economy) Hannes Öhler (University of Goettingen)

Hypotheses and related literature

• Rose-Ackerman (QJE 1982); Casteneda et al. (JLEO 2008): market entry/competition by NGOs leads to “excessive” fundraising

• Aldashev/Verdier (JDE 2010): competition may even reduce fundraising if overall amount of donations is not fixed

• Competition may reduce administration and management costs (e.g. Glaeser/Shleifer, JPubE 2001)– However, no evidence that donors choose more NGOs

with lower admin. costs (Nunnenkamp/Öhler 2011)• Aldashev/Verdier: perquisite consumption may even

increase with competition

Page 19: Peter Nunnenkamp (Kiel Institute for the World Economy) Hannes Öhler (University of Goettingen)

Hypotheses and related literature cont.

• Official funding of NGOs may have opposing effects on admin. costs and fundraising:– Andreoni/Payne (AER 2003): NGOs may reduce

fundraising effort when receiving official funds– Official funding may increase admin. costs by (i)

relaxing the budget constraint and allowing for perquisite consumption, and (ii) bureaucracy imposed by the official financier