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Social Science Research Network
Introduction Conservationists are becoming increasingly adept at determining where conservation resources should be directed. Different models that prioritise biodiversity, threat, and wildness ( Brooks 2006 ) are being further modified to incorporate costs of conservation actions and their sequencing ( Murdoch 2007 ; Wilson 2007 ). However, the conservation movement is less capable at evaluating where its money is spent and to what effect. Several means of addressing the deficiency have been suggested. Some have called for evidence‐based evaluations of interventions drawing on insights from development and health practice ( Kleiman 2000 ; Pullin & Knight 2001 ; Saterson 2004 ; Sutherland 2004 ; Stem 2005 ). Ferraro & Pattanayak (2006) have advocated rigorous measuring of counterfactual outcomes as part of this process. Mcdonald‐Madden (2009) argue that conservation progress must also be measured against losses. Such evaluations are best applied to specific interventions. As Kapos (2008) have argued, however, there is more that goes on in conservation's name which is less amenable to such rigorous testing. They mention inter alia research, training and capacity building, developing policy, education and promoting livelihood change. To their list we could add advertising, campaigning, networking, attending meetings, and supporting offices. The links between such conservation activities and valued outcomes can be lengthy. In addition to programme‐specific evaluations, it will also be important to take a more general and inductive approach to studying conservation expenditure. This involves asking where funds actually go, and what can we learn from patterns that emerge about the nature of existing conservation work and priorities? There have been some attempts using this approach. James (1999) examined government expenditure, finding that it fell substantially short of funds needed to support protected areas. The most comprehensive study of nongovernmental expenditure is by Halpern (2006) , who found that globally the presence of priority areas explained a small proportion of spending but concluded that “global priority models are having little effect on how money is distributed among countries containing high‐priority areas” (p. 62). Similarly, an assessment of donor support to conservation projects in Latin America and the Caribbean found that some high‐priority regions were relatively neglected and recommended that the distribution of funding across regions be reviewed ( Castro & Locker 2000 ). Mansourian & Dudley (2008) found that of the top 16 countries receiving environmental aid only 37.5% had high biodiversity value (based on an aggregate score of each country's concentration of the World Wide Fund for Nature's [WWF] Global 200 ecoregions, hotspots, centers of plant diversity, endemic bird areas, Alliance for Zero Extinction sites, and the Convention on Biological Diversities’ National Biodiversity Index). Our knowledge of conservation spending patterns is discouraging. Prioritization devices are defended and debated for their impact on fund‐raising, not on how well they guide expenditure ( Mace 2000 ; Myers & Mittermeier 2003 ). Given this gap it would be useful to learn more about where conservation funds go, and how these relate to conservation priorities. To address this issue we examined expenditure by conservation NGOs in sub‐Saharan Africa. We have chosen NGOs because they are vital to any assessment of the efficacy of conservation expenditure. They are important means of transferring funds from the wealthy North, to the poorer South, where valuable places which are relatively cheap to work in are found ( Balmford & Whitten 2003 ). The conservation NGO sector enjoys considerable freedom to seek alliances with states and other NGOs in pursuit of international conservation agendas. Funds in the sector can therefore flow relatively freely to places of conservation need compared to state expenditure. Expenditure by international organizations (the United Nations and World Bank) and large philanthropic foundations is considerable, but we wanted to see where money was spent, not to which organizations or causes it was donated. Sub‐Saharan Africa is a good place to look at NGO expenditure because the region's poverty means that government expenditure on conservation is small and so NGO contributions, both absolutely, and relative to state funds, are likely to make important contributions toward realizing conservation goals. Methods To examine patterns in conservation NGO expenditure in sub‐Saharan Africa, we drew up a list of relevant NGOs working in the region and determined where they were working and how much they were spending in different places ( Scholfield & Brockington 2008 ). We had to create our own as there is no good list of conservation NGOs working in the region. Beginning in July 2006, we devised our list using our knowledge of the region, the literature, the internet, and lists of grantees reported by funding organizations. When these methods were exhausted, we sent out our list for comment to academics and NGO employees with regional expertise, to members of the Environmental Anthropology list serve ( http://www.eanth.org/onlineresources2.php?resource=listserv.php ), and eventually to all the organizations themselves. We have discussed the problems of these methods elsewhere ( Scholfield & Brockington 2008 ; Brockington & Scholfield 2010 ). Suffice to say that what constitutes a conservation NGO is contested terrain. We have limited our list to a strict definition of “conservation” NGO and included only organizations which were attempting to conserve wildlife, habitat, and protected areas. This produced a core group of self‐identifying conservation organizations, which accounted for the majority of funds spent. We included or excluded animal welfare, general environmental and environmental education organizations on the margins of this group according to our collective assessment of their projects as reported on their websites and annual reports. Our principal means of testing the validity of the list resulting has been two extensive consultations with the NGOs listed themselves. The list resulting comprises 281 organizations (see Supporting Table S1). It almost certainly misses some local groups, and excludes many environmentally orientated organizations, which more liberal definitions of conservation might include. However, it has passed scrutiny by colleagues throughout the conservation movement in Africa. We believe that it suffices for our purposes. It allows us to draw some cautious conclusions about patterns in conservation activity, and it serves as a base upon which further studies can improve. To learn what NGOs were doing and where, we read about the projects they undertook in their annual reports and websites. We examined nearly 900 projects to establish more precisely where conservation NGOs are active and in which protected areas they worked. We sought to find out how much money they spent, by country, in the years 2004, 2005, and 2006 (more recent data were not widely available at the time of the survey). The best sources of financial data for charities in the UK and USA are the accounts sent to the Charities Commission and I‐990 forms, respectively. We also collected data from websites and annual reports and from telephoning, emailing, and meeting staff of different NGOs. We were able to obtain financial data for 87 (31%) of our list of conservation organizations for some or all of the years 2004–2006, including all the largest organizations. Where we did not have figures for all years we estimated missing data as the average of years for which we had data; 33% of the data for 2004 are estimated, 6% for 2006, and less than 0.5% for 2005. The data mix financial years (ending in different months) and calendar years. We have not tried to convert the former to the latter. Instead we have taken figures for financial years to refer to the calendar year in which most of their activities fall. There is a danger of double‐counting funds because many of the organizations on this list are funding each other. We have coded such donations separately in our database so that they can be removed where necessary for the analysis. All financial figures are expressed in 2006 US$ using exchange rates and the GDP deflator available at http://www.measuringworth.com/index.html . We report patterns in expenditure with and without “overheads.” Overheads refer to fundraising and administration costs, which are reported separately from other expenditure in tax return forms. We have checked our records in the first consultation exercise with the NGOs when we sent each organization a spreadsheet detailing our records of their expenditure. To compare expenditure patterns against conservation priorities at the country scale we used a version of the Groombridge & Jenkins 's Diversity Index (2002), updated using more recent data, as well as an index of threat based on threatened species found in the IUCN Redlist (see Supporting Information). We used SPSS software to test the relationship between spending, biodiversity, threat, and protected areas. Results Annual observed conservation expenditure by all conservation NGOs for which we had financial data increased from just over $110 million to over $140 million from 2004 to 2006, an increase of about $30 million in 2 years ( Table 1 ). Indeed, the increase could be higher because the figures for 2004 contain estimates based on later years, which would dampen growth trends. Given that expenditure would have been close to zero in 1960 (just before the African Wildlife Foundation and WWF join the scene, see Supporting Table S1), and it increased to just over $110 million in 2004 in a 44‐year period, then the increase we observed in these years is likely to be higher in both absolute and relative terms than previous years. 1 Expenditure by conservation NGOs in sub‐Saharan Africa 2004—to 2006 (US$ 2006) 2004 2005 2006 Expenditure 113,723,444 130,524,350 143,396,577 Expenditure + overheads 139,929,996 159,992,336 176,480,749 Overheads ($) 26,206,553 29,467,986 33,084,172 Overheads (%) 23% 23% 23% Proportion of data in each year which has been estimated from other years 33.5% 0.4% 5.7% In general, fundraising and management costs of spending conservation sums are about 23% of expenditure ( Table 1 ). These figures are determined entirely by the conservation NGOs themselves, reported in their accounts. We offer no judgment as to whether this figure is high or low, but it is important to note that low overheads are necessarily optimal. Organizations which give money away, and which therefore must check that money is spent well, or which raise money from poor people can expect to have relatively high overheads. Distribution of money within the sector is uneven ( Table 2 ). One organization (WWF) dominates, and over 80% of observed expenditure is accounted for by just 10 organizations ( Table 3 ). We predicted the total size of the sector, estimating expenditure for NGOs for which we had no financial data based on the geographical scope of their activities (see Table 2 and Supporting Information). This suggests that average annual expenditure, including overheads, is about $200 million dollars. Predictions of shortfalls in governments’ spending on protected areas, which could be met by the NGO expenditure we describe here, range from US (2006) $458 million ( James 2001 ) to $841 million ( Moore 2004 ). NGO expenditure therefore does not cover government spending shortfalls. 2 The observed and predicted structure of the conservation NGO sector in Sub‐Saharan Africa Size Class Range of expenditure Including overheads Counted NGOs Average expenditure Including overheads Predicted NGOs Predicted total expenditure Including overheads Predicted Structure 7 Over $40 million 1 42,708,026 1 42,708,026 21% 6 $10 million to $21 million 4 15,559,663 4 62,238,653 31% 5 $4.2 million to $6.2 million 5 5,467,690 5 27,338,450 14% 4 $0.8 million to $1.9 million 10 1,351,520 18 24,327,360 12% 3 $0.3 million to $0.72 million 14 479,142 46 20,603,106 11% 2 $0.1 million to $0.3 million 26 200,090 90 18,008,100 9% 1 Up to $0.1 million 27 54,927 102 5,712,408 3% Total 87 263 200,936,102 Expenditure is in $US (2006). The procedures for estimating expenditure for NGOs for which we had no financial data is explained in Supporting Information. 3 The largest 10 conservation NGOs in sub‐Saharan Africa Organization name Average expenditure Average expenditure including overheads Countries in which active World Wide Fund for Nature 35,212,994 42,708,026 44 Conservation International 17,264,283 20,247,980 9 Wildlife Conservation Society 15,585,563 17,321,231 19 African Wildlife Foundation 12,073,116 14,614,140 11 Peace Parks Foundation 8,392,335 10,055,302 9 Jane Goodall Institute 4,412,168 6,120,999 2 Fauna and Flora International 4,895,446 5,947,705 8 Frankfurt Zoological Society 4,837,535 5,895,838 7 African Parks Foundation 3,246,610 5,136,265 6 Dian Fossey Gorilla Fund 3,497,692 4,237,644 2 Expenditure is in $US (2006). There are distinct patterns in the scope and coverage of NGOs activities. WWF works in far more countries than any other organization ( Table 3 ). The distribution of funds and organizations across the continent is also uneven ( Figure 1 ). Least money is spent in west Africa, most in southern Africa. Within each region expenditure is unequal with particular countries forming hubs. 1 The geographical distribution, by country, of conservation NGO activity and their spending in sub‐Saharan Africa. Support for protected areas is slight, with just under 14% of protected area estate (by area) receiving some form of support from conservation organizations ( Figure 2 ). There is a tendency to support more strictly protected category 1–4 protected areas (as defined by the IUCN, see Supporting Information), 37% of which receive some form of support. Except in a few cases where organizations were devoted to supporting specific protected areas, we were unable to determine how much was being spent on individual protected areas. We are thus unable to calculate expenditure per km 2 . 2 The distribution of all protected areas, and those receiving some form of support from conservation NGOs in sub‐Saharan Africa. It would be possible to support a greater proportion of protected areas. The running costs of protected areas can be predicted on the basis of their size and the wealth of the country in which they are ( Moore 2004 ). The equation predicting running costs suggests that 92% of IUCN category 1–4 protected areas’ management costs could be completely met, without any government expenditure, with an annual expenditure of $64 million. This figure excludes establishment costs and capital investment costs. How well does conservation expenditure match conservation goals? It would be possible to draw up a priority list of protected areas according to their importance, level of threat, and cost of working there, and evaluate conservation expenditure according to their support of that list. But we have been unable to determine support for individual protected areas management costs sufficiently well to make such a comparison. We were simply unable to determine what expenditure per square kilometer of protected area was from the data we had available. Indeed our data also suggest that conservation expenditure is not geared closely enough to provide protected areas’ management costs for this to be a meaningful task. Instead we opted for a broadscale approach, comparing country level expenditure with country level indices of threat and biodiversity. We found that expenditure is well correlated with biodiversity and threat ( Table 4 ). Correlations are stronger if these measures are not standardized for country size. Conservation expenditure appears, at country level, to be closely related to different estimates of conservation need. It is weakly correlated with the absolute amount of land set aside in protected areas, and does not follow the proportion of each country set aside. Graphs of these relationships are shown in Supporting Information (Figures S1 and S2). 4 Spearman's rank correlations of expenditure with measures of biodiversity, threat, and protected area Diversity index Threat index Category 1–4 protected areas Expenditure Correlation coefficient 0.743 0.650 0.373 Sig. (two‐tailed) <0.001 <0.001 0.014 N 43 43 43 Diversity index standardized per km 2 Threat index standardized per km 2 Proportion of land in category 1–4 protected areas per km 2 Expenditure Correlation coefficient 0.507 0.383 −0.065 Sig. (two‐tailed) 0.001 0.11 0.677 N 43 43 43 Discussion Our survey was undertaken before the credit crunch and accompanying global recession. Part of the usefulness of these data is that they provide a baseline against which we can compare the experience of the sector to explore what the impact of global economic change has been on the sector's income. They allow comparative assessments of how much money the sector was able to expend during lean years, and where funding is directed during such times. More importantly, this research suggests further directions in how to evaluate conservation expenditure. It contains both chastening and encouraging results for conservation NGOs but both sorts of findings demonstrate the need for more careful observation of where conservation funds are spent. This will facilitate the development of better indicators for evaluating conservation performance. The surprising result was how few protected areas are supported, compared to how many could be. An average annual expenditure of $129 million results in partial support of 37% of more strictly protected areas (and any form of support, no matter how small, qualified as partial). The predicted cost of completely supporting, that means without additional government expenditure, 92% of these protected areas is $64 million. This finding suggests that the difference between total NGO expenditure from our data ($200 million) and the potential shortfall in government expenditure reported in the literature ($458–841 million) needs to be treated carefully. The shortfalls in government expenditure were based on protected area needs. However, it is not clear from our data that those needs are sufficiently important activity for the conservation NGO sector to be a good basis for predicting NGOs’ funding requirements. Estimates based on protected area costs exclude a great many conservation NGO activities. They also exclude the costs of raising and administering funds. The close match between biodiversity, threat, and expenditure is a refreshing change from previous studies, which show a poor match between expenditure and need ( Castro & Locker 2000 ; Halpern 2006 ; Mansourian & Dudley 2008 ). What is harder to explain, however, is why this pattern exists. We cannot infer cause from correlation, so we cannot be certain how far the presence of conservation priorities is driving this distribution. There are many other factors that would need to be considered if we are to develop a robust explanation of conservation spending which included political and historical factors that can shape conservation agendas. For example, we could consider levels of wealth, indices of good governance, corruption, infrastructure, and language. We would also need to consider the history of conservation interventions in particular countries. Some of these factors will have clearly predictable influences—Anglophone, Francophone and Lusophone NGOs, for example, are likely to work countries, which speak their language. But others will depend on the type of NGO. Good governance may attract some NGOs because they will it easier to work in well‐governed countries. Conversely, others may be adept at getting things done in corrupt environments (cf. Chabal & Daloz 1999 ). Similarly, wealth and good infrastructure will be appealing to some organizations, but to others represent simply greater expense. Furthermore, although the positive association of conservation expenditure with conservation need is encouraging, we have not factored costs of doing conservation into these calculations. Costs matter because they vary by several orders of magnitude, much more than indices of conservation importance ( Naidoo 2006 ; Murdoch 2007 ). Before the conservation community can draw comfort from the correlation of spending with biodiversity and threat it will have to explore how considering costs might alter the pattern. Determining costs will not be straightforward, as the activities we encountered during our survey were diverse. The most frequent comparative measurement of conservation cost used is the expense of supporting protected areas ( James 2001 ; Bruner 2004 ; Moore 2004 ). However, as we have just seen, the relevance of this measure is questionable. As Naidoo (2006) have shown, there are many different varieties of costs which conservation has to meet. It is clear that we need a closer description of what conservation NGOs do day‐to‐day before we could work out what measure, or set of measures, of cost would be the most appropriate for evaluating the efficiency and effectiveness of NGO conservation work. Kapos et al. recently provided a framework for comparing different sorts of activities, costs, and their outcomes (2008). Evaluating effectiveness in conservation is still in its infancy. As it develops it will be useful to take a closer look at the work of different institutions promoting conservation. More understanding is required of the goals are being realized by current patterns of expenditure. Indeed that would be a necessary part of improving the efficiency of the conservation sector's operations. Editor : Dr. James Blignaut Acknowledgments The authors thank to the numerous individuals who looked over and commented on the earliest versions of this research. Particular thanks to Neil Burgess, Andrew Balmford, Bill Adams, Rosaleen Duffy, Jim Igoe and Kartik Shanker, and the anonymous reviewers of this article. The authors thank Karl Hennerman for the maps. This research was supported by a grant from the ESRC (RES‐000‐27‐0174).
Conservation Letters – Wiley
Published: Apr 1, 2010
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