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Fair ways to share benefits from community forests? How commodification is associated with reduced preference for equality and poverty alleviation

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Published 22 May 2019 © 2019 The Author(s). Published by IOP Publishing Ltd
, , Citation Adrian Martin et al 2019 Environ. Res. Lett. 14 064002 DOI 10.1088/1748-9326/ab114f

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1748-9326/14/6/064002

Abstract

This research is concerned with the trend towards commodification of forestry, in the context of community forest governance for sustainable development in the tropics. In these contexts, commodification takes different forms, including sales of certified timbers and sales of carbon credits. In addition to the general aim to enhance income, these market-based forestry interventions typically aim to align with sustainable development agendas, including (a) safeguarding ecological integrity and (b) promoting poverty alleviation. Our concern here is that the process of forest commodification might lead to a shift in local norms of benefit-sharing, in ways that can hinder these key components of sustainable development goals. We report the results of a survey (N = 519) conducted across sites in Bolivia, China and Tanzania that shows that switching from non-monetary to monetary benefits is associated with changes in preferences for distributional fairness in ways that may be detrimental to the poor. In particular, we show that forest commodification is associated with a lower likelihood of selecting pro-poor or egalitarian approaches to benefit sharing and higher likelihood of selecting to distribute benefits in a way that rewards individual contributions or compensates losses.

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Introduction

In Antigone, the character Creon claims that 'There's nothing in the world so demoralising as money' whilst D H Lawrence observed that 'Money poisons you when you have got it, and starves you when you have not' (Lawrence 1994 (1928)). Most academic research into this phenomena focuses on the institutional arrangements surrounding monetary exchange, identifying market exchange as a driver of declining social responsibility (Polanyi 1944, Satz 2010, Sandel 2012, Falk and Szech 2013, Bartling et al 2014). More recently, evidence has emerged that money itself—indeed even brief exposure to an image or symbol of money—can erode our empathy and responsibility towards others (Vohs et al 2006, Caruso et al 2013, Kouchaki et al 2013). In the context of environmental conservation, this raises concern because virtues associated with social responsibility, including compassion, reciprocity, trust and cooperation, are often essential requirements for successful environmental governance (Ostrom 1990) and are also widely held to be central requirements—or capabilities—for achieving human wellbeing (Nussbaum 2011). To put this in a way that has underpinned mainstream environmentalism for at least three decades, social equity is a necessary condition for achieving sustainable development (WCED 1987, Pearce et al 1989, Holden et al 2017).

Our particular interest in this paper is the commodification of forests within the context of community forestry in the tropics. Communities are increasingly supported to develop money-based forest economies through what are generically termed market-based instruments (MBIs). In our case locations, these include the marketing of forest timbers through forest certification and labelling schemes, payments for ecosystem services (PES) schemes for carbon offsetting and soil stabilisation and development of ecotourism products. Whilst we adopt the convention of collectively describing these as 'market-based', many PES schemes involve government or NGO procurement in the absence of competitive market institutions (Ferraro 2009, Milne and Adams 2012, Calvet-Mir et al 2015, Gómez-Baggethun and Muradian 2015). What defines MBIs in this research is therefore the progression from non-monetary to monetary benefits from managing local forests. This change is often associated with a shift in the kind of goods and services that are valued and exploited. For example, the United Nations' programme on Reducing Emissions from Deforestation and Forest Degradation (REDD+) has newly valorised the carbon stored in forest biomass as a basis for paying forest managers in the tropics for conserving or enhancing their forest stock (Corbera 2012).

The commodification of local forest economies has the potential to bring important new income streams to local communities and to incentivise forest conservation over conversion to other land uses. However, there are concerns about how well such development and conservation objectives are being met. For example, reviews find that there is currently insufficient evidence to conclude that these objectives have been widely achieved in practice by either certification schemes (Blackman and Rivera 2011, Romero et al 2013) or PES schemes (Muradian et al 2013, Samii et al 2014, Börner et al 2017). But critiques of MBIs go beyond concerns about effectiveness, to include fears that commodification of environmental stewardship erodes the moral basis for caring, both for nature and for other people. Previous research has found that MBIs can foster mentalities in which inequitable distribution of costs and benefits are conceived as acceptable (Caney 2010, Spash 2010, O'Neill 2016) and in which monetary incentives crowd out superior motives for caring for nature (Bowles 2008, Corbera 2012, Sandel 2012, Bolderdijk et al 2013, García-Amado et al 2013, Agrawal et al 2015, Neuteleers and Engelen 2015, Rode et al 2015).

This paper adds to this literature through field-based empirical research into the effects of forest commodification on principles of fairness within local communities. In particular, we investigate whether commodification changes conceptions of fairness in ways that appear to diminish concern about poverty and inequality. In line with the United Nations Sustainable Development Goals (SDGs) we assume that both the prioritisation of the poorest and the pursuit of equality (e.g. 'leave no one behind') are important conditions for progress towards sustainable development. If commodification of forests is diminishing the salience of these norms, this might be a hindrance to progress towards sustainable development.

Our focus here is on the conceptions of fairness held within local communities. This is increasingly pertinent for the governance of forest resources because of the increasing proportion of forests in low and middle income countries that are coming under forms of community management (Larson et al 2017). We investigate the effects on fairness preferences of (a) monetary versus non-monetary benefits, (b) societal context and (c) individual characteristics.

We explore three hypotheses about how individual moral preferences might be predicted by different types of independent variables (figure 1). Firstly, addressing the primary research interest of this paper, we propose that conceptions of distributional and procedural fairness are both plural and dynamic (Walzer 2008) and that the preferred conceptions in a given situation will be shaped by the nature of the benefit, i.e. whether it is monetary or non-monetary. For many of us it is intuitive that we apply different principles of distributional fairness according to the nature of the good being distributed: we might for example think that 'need' is the fairest principle for distributing food, 'equality' the fairest way to distribute votes and perhaps 'merit' as the best way to allocate jobs (Deutsch 2011). More specific to our hypothesis, there is a body of evidence from experimental psychology that suggests that being primed to think about money induces a distinct normative response (Vohs 2015). Whilst our primary interest is in the effect of monetisation, we also expect contexts of place to have an important bearing on social moralities. Our second hypothesis is therefore that conceptions of fairness will be shaped by the societal context in which the decision is to be taken. Here, we are following literature that suggests that cultural, economic, political and legal contexts are not only shaped by ethical values, but also play a role in shaping the salience of different principles of fairness (Haidt 2012, Miller 2013, Saucier et al 2015, Almås et al 2019). Thirdly, we propose that individual characteristics and circumstances will similarly shape conceptions of fairness, as some research has found for gender and age (Ruegger and King 1992), education (Hungerford and Volk 1990) and economic wealth (Armantier 2006, Zhang and Yu 2018).

Figure 1.

Figure 1. Hypothesised factors affecting preferred fairness principles.

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Methods

We compare how monetary and non-monetary benefits from local forests effect judgments about distributional and procedural fairness for villagers in four cultural groups across three countries: (i) Monkox indigenous territory in Lomerio, Bolivia, (ii) Han villages, China, (iii) ethnic minority (Lisu and Dai) villages, China and (iv) Tanzanian villages in Kilwa district. We investigate villagers' views about fairness, both in terms of principles for distributing forest benefits, and procedures for deciding this. We survey 519 respondents using a form (supplementary information is available online at stacks.iop.org/ERL/14/064002/mmedia) translated into local language and conducted face to face with in-country research team members.

Faced with the scenario of material benefits arising from community forests, all respondents were asked to rank, in order of preference, (a) alternative distributional principles and (b) alternative institutional arrangements for decision-making. Distributional principles were based on well-established philosophical approaches to defining fair distribution, including those that argue that fairness is best pursued by prioritising need, equality, utility maximisation or desert (how deserving a person is) (Miller 1999). Applying these different ethical traditions to the context of forest governance, we generated five alternative distributional principles: 1. Prioritise the poorest ('Pro-poor'), 2. Distribute equally ('Equality'), 3. Invest to generate greatest collective benefit ('Invest'), 4. Prioritise those who experience losses arising from forest conservation ('Compensate'), 5. Reward those who have contributed to forest conservation ('Reward'). Views about procedural fairness were investigated in much the same way, but with four alternative arrangements for decision-making authority: 1. Village leaders, 2. Village assembly, 3. District government and 4. Non-government partner (in China this was private sector forest companies; in Tanzania and Bolivia, non-profit organisations).

Both sets of principles have been adapted from sets that we developed and tested during earlier research in Rwanda, Uganda and Laos (Martin 2017) and thus we are confident that they are well understood by respondents, that they do not omit any widely preferred principles and that they are appropriate for this new research question about effects of commodification. However, with both sets of statements there are variations of meaning between countries that we acknowledge may have some bearing on comparisons. Firstly, as we will mention in the discussion, the distributional statement for 'Reward' had a somewhat unique interpretation in Bolivia. In all other sites, we found this statement to be understood as referring to those who helped out in the day to day management activities of forests, including guard patrols, boundary marking etc. In Bolivia it was understood in more strategic, leadership terms, as referring to elders who had fought to secure territorial rights. Secondly, the procedural statement about non-governmental partners was interpreted in Tanzania and Bolivia as referring to non-government organisations who were supporting local forestry initiatives whereas in Chinese sites there was no such NGO presence and it referred instead to private sector forest contractors.

To test the first hypothesis (the effect of benefit type) we employed two versions of our survey. One version (monetary) defined the benefit as cash income from sale of forest benefits, whilst the other (non-monetary version) defined the benefit to be shared as the forest benefits themselves. In other words, the monetary version imagines that there has been cash payment (e.g. from sale of timber) and asks respondents how that money should be distributed; in contrast, the non-monetary version imagines that forest benefits (e.g. construction materials or fruits) are to be distributed directly. Each site level sample was randomly split so that half the respondents used the monetary version and half the non-monetary version. To test the second hypothesis (the effect of societal contexts) we selected respondents from different locations, across three countries and four cultural groups. To test the third hypothesis (the effect of individual characteristics) we collected basic profile information about respondents (age, gender, education level and wealth). Wealth was measured by proxy, using a simple count of selected durable assets, a method that has been found to adequately correlate with more research intensive measures of income or expenditure (Morris et al 2000).

Sites were selected in locations where the team already worked and could take advantage of established trust and successful local partnership. They were selected not to be representative of the regions or countries where they are situated, but to provide contextual difference, especially in relation to culture. In all sites, there is some form of community forestry in operation, meaning that communities themselves have some responsibility for local benefit sharing and therefore that local norms of distribution are important. In Tanzania, we selected two villages (Ruhatwe and Kikole) in Kilwa district, an economically poor part of the country with high dependence on natural resources. These villages are seeing a progression towards market exchange for forest goods, through sales of Forest Stewardship Council certified timber under Participatory Forest Management and through carbon offsets generated by a REDD+ pilot project (Corbera et al 2017). In Bolivia, we worked with communities within the indigenous territory (Territorios Indigena Originario Campesino) of Lomerio, an area of 256 000 hectares that has been legally owned by the Monkox people since 2006. As with the Tanzanian sites, there have been moves towards community- and market-based forestry, in this case through Rainforest Alliance 'Smartwood' forest certification and subsequent NGO mediated commercial partnerships between communities and private contractors (McDaniel 2003, de Pourcq et al 2009, Martin 2017). Of 29 communities in Lomerio, we selected 4 that were currently active in community forest operations (Palmira, Santo Rosario, San Lorenzo and Todos Santos). In China we selected sites representing some of the cultural diversity within Yunnan province. Baojiachun and Xinqi are Han Chinese settlements, the majority ethnic group. Shiba is a village of the Lisu people whilst Manhong is settled by another ethnic minority group, the Dai people. All Chinese sites had experienced some commodification of forest benefits through PESs (the Sloping Land Conversion Programme) as well as more location-specific enterprises such as ecotourism (Baojiachun) and collective commercial forestry (Xinqi).

Sampling strategies differed between countries (table 1). In Bolivia community sizes were small and we selected one person from each household. In Tanzania we acquired lists of households from the 2012 census and randomly selected 60 households from each village. In China we had to use convenience sampling but sought to reduce bias by ensuring different locations in the village were covered and that surveys took place across different days and times.

Table 1.  Survey sample.

Country Village Total population Survey sample Qualitative Interview Sample Participatory Video
Tanzania Ruhatwe 979 60 12 Yes
  Kikole 1490 60 12 Yes
China Baojiachun (Han) 5180 60 10 Yes
  Xinqi (Han) 4577 60 10 Yes
  Shiba (Lisu) 1901 60 10 No
  Manhong (Dai) 286 62 10 No
Bolivia Palmira 391 50 Focus groups Yes (collective)
  San Lorenzo 333 50 Focus groups Yes (collective)
  Santa Rosario 82 20 Focus groups Yes (collective)
  Todos Santo 166 40 Focus groups Yes (collective)

Qualitative data collection involved participatory video (PV) and semi-structured interviews. PVs provided communities the opportunity to highlight local forest justice concerns of particular significance to them, in the absence of any substantial direction from the research team. In essence, this informed us about what really mattered in that time and place, providing a kind of benchmark of what might be prominent in people's minds as they thought about issues of distribution and procedure. The main function of this information was to triangulate with survey findings, helping us to validate and make sense of key findings. PVs were made in Ruhatwe, Kikole, Baojiachun, Xinqi and Lomerio (in Lomerio, the communities collaborated over a shared film). Semi-structured interviews (focus groups in Bolivia) were conducted with a sub-sample of survey respondents and served a similar function, seeking to explain some of the differences recorded between locations and thereby strengthening our confidence in the main findings from the regression analysis.

Survey data was analysed using econometric (regression) analysis to control for the potential confounding effects of many variables such as location, gender, age, education and wealth. We used ordered logits because the dependent variables are ordinal indicators and the tables of regression results report odds ratios. The calculation of standard errors takes clustering at the village level into account.

Results

Factors affecting choices of distributional fairness principle

The three sets of hypotheses outlined above are tested using regression analysis; specifically, ordered logits are used since each of the five distribution principles—pro-poor, equality, invest, compensate and reward—are ranked from the least (1) to the most preferred (5). These ranks are regressed on indicators of the monetary version, location of sites and individual characteristics of participants (gender, age, education and an index measuring household assets). Table 2 presents the results.

Table 2.  Factors affecting distribution principles: ordered logits (odds ratios).

  (1) (2) (3) (4) (5)
Variables Pro-poor (need) Equality (equality) Invest (utilitarian) Compensate (desert 1) Reward (desert 2)
Dummy variable for monetary version (non-monetary as reference)
Monetary 0.453*** 0.545*** 1.317 1.507* 2.233***
  (0.123) (0.127) (0.395) (0.357) (0.545)
Dummy variables for location (Bolivia as reference)
Tanzania 1.308* 0.0764*** 4.438*** 8.207*** 0.582
  (0.192) (0.0219) (1.573) (2.502) (0.201)
Han China 1.244* 0.589 2.128** 5.346*** 0.246***
  (0.158) (0.242) (0.750) (1.327) (0.0923)
Lisu and Dai China 0.809 3.494** 1.243 7.017*** 0.0759***
  (0.208) (1.818) (0.812) (3.261) (0.0351)
Individual characteristics (no education as reference for education variables)
Male 1.006 0.747* 1.308 1.199 0.905
  (0.243) (0.120) (0.281) (0.280) (0.178)
Age (log) 0.780 0.707 1.864* 0.581*** 1.235
  (0.226) (0.195) (0.653) (0.114) (0.379)
Primary education 1.577 0.649 1.575** 0.922 0.823
  (0.477) (0.274) (0.293) (0.301) (0.149)
Secondary education 1.695 0.683 1.408 1.022 0.698
  (0.573) (0.273) (0.418) (0.371) (0.207)
Higher education 2.557*** 0.489 1.598* 1.496 0.664
  (0.866) (0.223) (0.454) (1.020) (0.212)
Assets count (wealth) 0.848*** 0.966 1.188** 0.909* 1.109**
Observations 515 516 517 515 512

Note. Robust standard errors clustered at the village level in parentheses; *** p < 0.01, ** p < 0.05, * p < 0.1.

The 'monetary' variable shows the odds of selecting a given distributional principle when money is to be distributed against a baseline where 'non-monetary' forest goods are to be distributed. The data show that changes to this variable are significantly correlated with preferred fairness principle. Respondents given the monetary version are less than half as likely to prefer a 'Pro-poor' distribution of benefits compared to those with the non-monetary version (OR = 0.453, p < 0.01). Those with the monetary version were similarly less likely to prefer an 'Equality' distributional principle (OR = 0.545, p < 0.01). Compared to non-monetary benefits, respondents were more likely to distribute monetary benefits according to one of the desert (deservedness) principles and, in particular, were more than twice as likely to prefer the principle to 'Reward' those who have put in the most effort (OR 2.233, p < 0.01). Similarly, there is also rather weak evidence (only at 10% level) that people prefer the other desert principle of 'Compensate' when the monetary version is given (OR = 1.507, p < 0.10). It is also interesting to note that 'Invest' is not significantly correlated to the monetary version. We might summarise this as finding that non-monetary benefits composed of forest goods such as construction materials and fruits are more likely to be distributed in a pro-poor or an egalitarian way whilst monetary benefits are more likely to be distributed according to meritocratic principles. To confirm this effect we ran regressions with interactive terms between location dummies and the variable 'monetary' (supplementary materials). All of the interactive terms for 'Pro-poor' and 'Equality' are statistically insignificant (only one significant at 10%), showing that the main result is robust across the different study locations.

Turning to our second hypothesis, the odds ratios for location variables (our indicator of societal difference) are expressed against the baseline of our Bolivian location. The results confirm that societal contexts are strongly correlated with preferred conceptions of fairness. Given our deliberate selection of culturally distinct locations, it is not surprising that we see multiple evidence of location-associated moral pluralism. Bolivian Monkox communities are seen to be quite distinct to other locations, with very low preference for the 'Compensate' principle compared to all other locations and low preference for the 'Invest' principle compared to Tanzania and Han China. Whilst Tanzanian village respondents display a comparatively high likelihood of preferring the 'Compensate' principle (OR = 8.207, p < 0.01), they are much less likely to prefer 'Equality' (OR = 0.0764, p < 0.01) and much more likely than Bolivians to prefer the principle to 'Invest' to maximise returns (OR = 4.438, p < 0.01). Han villagers are comparatively more likely than the Monkox from Bolivia to prefer the 'Invest' (OR = 2.128, p < 0.05) or 'Compensate' principles (OR = 5.346, p < 0.01). The ethnic minority Dai and Lisu villages in China reveal a distinctive profile. Compared to the Bolivian reference, these communities favour 'Equality' (OR = 3.494, p < 0.05) and 'Compensate' (OR = 7.017, p < 0.01) principles but are unlikely to prefer the 'Reward' principle (OR = 0.0759, p < 0.01).

When we turn to the individual characteristics of our global data we see that these have a less prominent association with preferred distributional fairness principles. Men are somewhat less likely than women to prefer 'Equality' of distribution (OR = 0.747, p < 0.10), older people are less likely to prefer the 'Compensate' principle (OR = 0.581, p < 0.01), those with higher levels of education significantly favour the 'Pro-poor' principle compared with those with no school education (OR = 2.557; p < 0.01) and those with greater economic assets are slightly less likely to prefer 'Pro-poor' distribution (OR = 0.848, p < 0.01). These correlations with individual characteristics are smaller and less frequent than those observed for the monetary and location variables.

Factors affecting choices of procedural fairness principles

While the results in the previous section focus on an aspect of distributional fairness, the principles in table 3 represent one aspect of procedural fairness that is especially pertinent to distribution, regarding where primary decision-making authority resides or, in other words, who decides who gets what. The most striking feature of table 3 is that there are no significant differences arising from the monetary/non-monetary variable. Thus, a switch from distributing forest benefits directly to distributing money from sales of these benefits, does not appear to be associated with how respondents think decisions should be made. In other words, while commodification of benefits is significantly correlated with preferred distributional fairness principles, it is not correlated with procedural fairness (at least with regard to the specific procedures considered here).

Table 3.  Factors affecting procedural principles: ordered logits (odds ratios).

  (1) (2) (3) (4)
Variables Village leader Village assembly District government Non-government partner
Dummy variable for monetary version (non-monetary as reference)
Monetary 1.307 1.083 0.788 0.787
  (0.375) (0.260) (0.297) (0.241)
Dummy variables for location (Bolivia as reference)
Tanzania 1.293 0.389* 0.0387*** 12.50***
  (0.483) (0.217) (0.0223) (4.380)
Han China 2.839** 0.269** 0.374** 0.0974***
  (1.377) (0.180) (0.146) (0.0284)
Lisu and Dai China 3.189*** 0.137*** 0.386*** 0.318**
  (0.656) (0.0824) (0.107) (0.169)
Individual characteristics (no school education as reference)
Male 0.824 1.879 0.867 1.445
  (0.327) (0.822) (0.211) (0.349)
Age (log) 1.325 0.582 1.005 0.534
  (0.284) (0.278) (0.217) (0.220)
Primary education 0.959 1.371 0.857 1.081
  (0.393) (0.382) (0.242) (0.234)
Secondary education 0.891 1.606 0.800 1.125
  (0.314) (0.555) (0.228) (0.454)
Higher education 0.663 2.553*** 0.958 2.233
  (0.298) (0.852) (0.443) (1.929)
Assets count (wealth) 0.996 1.072 1.046 0.942
  (0.0381) (0.0496) (0.0722) (0.0735)
Observations 512 516 512 514

Note. Robust standard errors clustered at the village level in parentheses; *** p < 0.01, ** p < 0.05, * p < 0.1.

By contrast, the location variables again have a robust and almost universal correlation with preferred principle. Lomerio (Bolivia) differs greatly from other locations across all principles. All other locations except Tanzania are significantly more likely to prefer decisions by village/community leaders than in Bolivia; all are significantly less likely to prefer decision making by a village assembly; all are significantly less likely to prefer district government authority; and all except Tanzania are significantly less likely to prefer decisions by a non-government partner. Tanzania is notable for a much higher preference for a non-government decision maker (OR = 12.50, p < 0.01). Both Chinese locations show a similar profile of differences to Bolivia, with all more likely to prefer decisions by a village leader and less likely to prefer any of the other principles. Han and ethnic minority (Lisu and Dai) Chinese villages reveal a particularly low likelihood of preferring decision-making by a non-government partner (OR = 0.0974, p < 0.01; OR = 0.318, p < 0.05).

Again, after controlling for locational and other variables, we see hardly any correlation attributable to individual characteristics. Those with the highest level of education are more likely to prefer collective decision-making through a village assembly (OR = 2.553, p < 0.01), but we see no significant correlation with gender, age or wealth.

Discussion

Contemporary theories of human behaviour accept that preferences are not formed by self-interest alone, but also by social morality (Graham et al 2012) which is itself shaped by contextual circumstances such as culture and institutions (Graham et al 2012, Haidt 2013). In Polanyi's analysis of The Great Transformation, norms of social responsibility and caring were eroded by the widespread transition from subsistence to market-based exchange (Polanyi 1944). Recent research in psychology has suggested that disruption to social norms from exposure to monetary exchange can occur much more quickly and locally (Gneezy and Rustichini 2000, Vohs et al 2006, Vohs et al 2008, Gino and Mogilner 2014), with some studies suggesting that the mere priming of people with the idea of money induces preferences that benefit the rich at the expense of the poor (Caruso et al 2013, Kouchaki et al 2013). These research findings provide some cause for concern about the rapid growth in commodification as a putative solution for sustainability, leading us to explore the effects of monetisation, along with locational and individual variables, on local conceptions of fairness.

The most interesting result of our survey is to confirm the hypothesis that a change from non-monetary to monetary benefits from forests is associated with changing preferences for principles of distributional (but not procedural) fairness, a finding that is robust across the different research locations. The results show that when thinking about the fair way to distribute monetary forest revenues, respondents were less likely to prefer 'Pro-poor' or 'Equality' as principles of distribution and more likely to prefer desert-based principles of 'Compensation' and 'Reward'. Does this constitute an erosion of social responsibility, as some previous studies of commodification have found? That would not be a safe conclusion for this study because all of our fairness principles were selected for being reasonable in some contexts at least. However, we do think that a shift away from pro-poor and pro-equality principles for distribution might be contradictory to ambitions to pursue sustainable development. Poverty alleviation and equality are prominent elements of the current global commitment to the SDGs and our findings suggest that the shift to commodification of local forests is likely to induce changes in local moral preferences that could act against these. This association with local fairness principles is especially relevant in the context of community forest governance, in which decision making about benefit-sharing is at least partly devolved to local institutions.

We also confirmed the hypothesis that fairness preferences are associated with locational, contextual factors. This has considerable implications for design of policy and project interventions because distributional and procedural principles considered fair in one place might be considered unjust in another and meet with strong latent or overt resistance. From what we have learned through complementary qualitative research, there are often important local reasons for attributing particular meanings and values to the survey principles. In Tanzanian sites, for example, damage caused by elephants is a huge concern to villagers and we think this contributes to high levels of preference for compensation. In Lomerio, Bolivia, we were surprised that 'Reward' was more favoured than in other sites because this ostensibly meritocratic principle does not seem to resonate with the prevailing communalism of the indigenous Monkox people. Here, however, we found that 'Reward' for those who had helped look after the forests was interpreted as meaning those who had struggled for the Monkox to gain legal rights to their forests. In effect, this refers to the elders and we think this explains its cultural fit and why it is favoured. In both the Han and Dai villages surveyed in China, there are strong histories of communal forest management in which forest revenues have been successfully used to secure public goods such as roads and schools. It is likely that this historical experience is a key factor in the popularity of an 'Invest' distributional principle. What we are seeing then is that locational associations with distributional fairness preferences can arise from a variety of local material and cultural histories. Such complexity is also seen for procedural fairness. In Bolivia, the comparative dislike for decisions by village leaders alone is almost certainly linked to quite fundamental cultural preference for communalism over individualism. By contrast, the comparatively strong appeal of non-government partner decision-making in Tanzania is likely to be more circumstantial, arising from the presence of a non-governmental organisation (the Mpingo Conservation and Development Initiative) that is highly active in local forest governance initiatives. In the Han Chinese village, the most active non-government partners are private sector forestry companies, again providing a more circumstantial explanation of preferences.

Finally, we were surprised to find so little evidence that individual characteristics such as age and gender are associated with fairness preferences. We do not yet understand the reasons for this but suspect it relates to the specific focus of our study, i.e. that these factors are less important in determining conceptions of fairness related to forest goods and related revenues. Regarding age, it should also be noted that all respondents were adults and we may therefore have missed important differences across adolescence that has been observed in previous experimental studies (Almås et al 2010).

Acknowledgments

We are thankful to the United Kingdom's Economic and Social Research Council for grant funding of the project Conservation, Markets and Justice (Grant Ref: ES/K005812/1). We are also thankful to two anonymous reviewers for helping us to improve this paper.

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