Center for Development Research University of Bonn ZEF Bonn Specific Challenges of Conservation Auctions in Developing Countries Tobias Wünscher (ZEF) tobias.wuenscher@uni-bonn.de Workshop “Conservation Tenders in Developed and Developing Countries - Status Quo, Challenges and Prospects” Boppard, Germany, September 11-14 1 Center for Development Research University of Bonn ZEF Bonn Objective Identify challenges that are specific to the implementation of conservation tenders in developing countries Discuss to some extent how some of them can be dealt with 2 Center for Development Research University of Bonn ZEF Bonn Motivation 1. Growth of PES schemes in developing countries disproportionately high 2. Urgency for effective use of scarce financial funds may be even more important in developing countries, providing an argument for application of mechanisms that can raise cost-effectiveness o when trade-off between basic state services and ES o ES buyers can be poor o Counter-motivation: co-objective to enhance income of landholders more pronounced in developing countries. o ES providers one of several stakeholders 3. There may be significant differences in design requirements and/or success of conservation tenders between countries due to differences in key characteristics. 3 Center for Development Research University of Bonn ZEF Bonn Practical Approach o Outline implementation steps of an auction. o For each step, evaluate the potential influence of criteria in which developing countries typically differ from developed countries. Main sources B. K. Jack, B. Leimona, and P. Ferraro 2008. A Revealed Preference Approach to Estimating Supply Curves for ecosystem Services: Use of Auctions to Set Payments for Soil Erosion Control in Indonesia. Conservation Biology 23(2): 359367 O.C. Ajayi, B. Kelsey Jack and B. Leimona 2011. Auction Design for the Private Provision of Public Goods in Developing Countries: Lessons from Payments for Environmental Services in Malawi and Indonesia. World Development 40(6): 1213-1223. Other papers which are based on the field pilots in Malawi and Indonesia Own auction trials in Kenya 4 Center for Development Research University of Bonn ZEF Bonn Focus on auction, not on PES There are many challenges which equally apply to standard and tendered PES, and which are not part of this evaluation. Examples are: o Tenure insecurity o Corruption and paper-only contracts o Making transfers o Moral hazard due to lax enforcement o Cultural diversity o Measuring, scoring, valuing ES 5 Center for Development Research University of Bonn ZEF Bonn Poverty alleviation and equity 6 Center for Development Research University of Bonn ZEF Bonn Poverty alleviation and equity 7 Center for Development Research University of Bonn ZEF Bonn Poverty alleviation and equity 8 Center for Development Research University of Bonn ZEF Bonn PES implementation steps 9 Center for Development Research University of Bonn ZEF Bonn Variables with typical differences Institutions o Institutional capacity o Market orientation (self-sufficiency, monetary based commerce) o Market imperfections Natural environment o Weather variability Infrastructure o Communication infrastructure o Other Infrastructure (roads, etc.) Human capital o Education level Governance o Corruption Cultural aspects o Community integration vs. Individualism o Punctuality o Cultural diversity 10 Center for Development Research University of Bonn ZEF Bonn 11 Center for Development Research University of Bonn ZEF Bonn Auction Design o Auction design not trivial o Multitude of design features and combinations and effects not always clear. o Off-the-shelf designs not yet available o Good design requires the right skills o Availability of ‚auction‘ skills probably scarcer in developing countries posing a potential constraint to auction design. Can negatively affect use of auctions International exchange can help overcome this constraint, independent of development status of countries. 12 Center for Development Research University of Bonn ZEF Bonn 13 Center for Development Research University of Bonn ZEF Bonn Informing eligible population Information channels o Letters o Newspapers o Brochures o Internet o TV o Radio o Personal (individual or workshops) 14 Center for Development Research University of Bonn ZEF Bonn Informing eligible population Information channels o Letters o Newspapers o Brochures Not feasible in many developing countries o Internet o TV o Radio Limits on level of complexity that can be conveyed o Personal (individual or workshops) high transaction costs o Pilots Equally applies to standard and tendered PES 15 Center for Development Research University of Bonn ZEF Bonn Inform eligible population o Information for an auction PES more complex than that of standard PES Compared to workshops for standard PES, workshops for auction PES may have to be smaller and longer (to get complex information across) increase of transaction costs Limits on total number of potential participants that can be informed Scale of PES schemes in developing countries, and that with auctions in particular, may stay below those in developed countries and cause associated efficiency losses. 16 Center for Development Research University of Bonn ZEF Bonn Inform eligible population Educational level of landholders o Does educational level affect comprehension? o If it does it could curtail the success of the auction in terms of costeffectiveness (understanding the procedure is pre-requisite for auction to work) o In extreme case: potential participants could be excluded from bidding. This, however, could affect the least educated (possibly the poorest). However, practical experience suggests that comprehension is not a major issue 17 Center for Development Research University of Bonn ZEF Bonn 18 Center for Development Research University of Bonn ZEF Bonn Bid Formulation o Dominant bidding strategy in a uniform auction: bid = WTA o Dominant bidding strategy in a discriminative auction: bid = WTA + S o Decision in fixed price offer: ϱ=1 if P>WTA and ϱ=0 otherwise WTA is central piece of information in all approaches Bidding in a uniform auction not more difficult than a yes/no decision for a fixed price offer. Bidding in a discriminative auction slightly more demanding. 19 Center for Development Research University of Bonn ZEF Bonn Bid Formulation Is it harder in a developing country to estimate one‘s WTA? Yes, it may be, due to higher levels of: o market imperfections o subsistence farming o Uncertainty with respect to prices, yields These circumstances affect auction efficiency in two opposing ways: 1. Auctions helpful because the above issues make it harder for the conservation agency to estimate true costs 2. Auctions face challenge because landholders have the same problem 20 Center for Development Research University of Bonn ZEF Bonn Bid Formulation If landholders in developing countries find it harder to estimate their WTA Then it would be desirable to provide incentives for increased effort to make the best out of available information. Is it possible that effort differs between fixed price offer and auction? Hypotheses Auction: instills more careful consideration of responsibilities and actions, benefits and costs Fixed-price offer: response rather intuitive, relies on heuristics, without same detail 21 Center for Development Research University of Bonn ZEF Bonn Bid Formulation There is some evidence that this may be true. Kelsey found compliance to be higher for contractors who participated in auctions compared to contractors who were offered take-it-or-leave-it contracts. Auctions may be an incentive to do better in estimating WTA with available information. The principal would apply equally in developed and developing countries but the benefit could be greater in developing countries with larger information gaps 22 Center for Development Research University of Bonn ZEF Bonn Bid Formulation Formulating S Surplus increases with S Probability to be selected (p) decreases with S Optimal level for risk neutral bidders is where S*p(S) largest p(S) also depends on things like: size of budget Bid caps Selection criteria Number of bidders Other agent‘s costs Better known in developed countries? Could lead to more strategic bidding on S 23 Center for Development Research University of Bonn ZEF Bonn Bid Formulation So p(S) can be partly estimated, but part remains uncertain. Dealing with uncertainty to great extend a matter of risk preference Risk aversity believed to increase with poverty bids in developing countries possibly lower with lower relative surpluses 24 Center for Development Research University of Bonn ZEF Bonn Bid Formulation Collusion Higher risk of collusion, due to: 1. Likely constrained scale of auction PES in developing countries 2. High integration of communities and strong influence of communal leaders In this case it may make sense to switch to group contracts Collusion so far not observed to my knowledge 25 Center for Development Research University of Bonn ZEF Bonn 26 Center for Development Research University of Bonn ZEF Bonn Bidding Simplest case of one-shot auction Bidding does not add complexity compared to a standard PES scheme provided there is some selection procedure Only difference: bid levels are considered in addition to other selection criteria 27 Center for Development Research University of Bonn ZEF Bonn Bidding Prevalence of bargaining in economies of developing countries and communication challenges may call for designs with multiple rounds Multiple rounds resemble bargaining economy more closely and give opportunity to learn But multiple rounds pose logistical challenges Approaches to implement multiple rounds Internet Surface mail Not feasible in developing countries Mobile phones High potential but with limitations Auction hall Most likely but logistically challenging for high numbers 28 Center for Development Research University of Bonn ZEF Bonn Bidding 29 Center for Development Research University of Bonn ZEF Bonn 30 Center for Development Research University of Bonn ZEF Bonn Select candidates A discriminative auction may help to reduce the problem that a corrupted system favors contracts of certain people: Higher bids make it more difficult to be accepted by corrupt officials in the selection process (bid level is a relatively clear signal) low bids are not attractive for the bidder. This advantage may decrease though with the use of a more complex selection algorithms which can decrease transparency. 31 Center for Development Research University of Bonn ZEF Bonn Other point Power imbalance: people may feel pressured to bid low and not leave a harmful contract (community pressure, hope that agency will bring future benefits). (Ajayi et al. 2011) e.g. anecdotal evidence of compulsory bids in China 32 Center for Development Research University of Bonn ZEF Bonn Summary Possible effect CE Auction design Availability of related skills low Lower availability leads to less effective designs (-) Typical characteristics in developing countries Informing bidders Communication infrastructure and education level low, illiteracy high Bid formulation Market imperfection more severe, higher levels of subsistence and variability in prices and yields Landholders more risk averse Need for workshops, higher transaction costs, scaling up difficult. Low comprehension may further exacerbate due to smaller size of workshops and longer duration. If comprehension correlated with poverty may lead to exclusion of the poor. (-) More uncertainty of bidders to estimate true WTA More uncertainty of conservation agency to estimate WTA (-) (+) Lower surpluses in discriminative auctions (+) Poor availability of information Less strategic bidding (+) 33 Center for Development Research University of Bonn ZEF Bonn Summary Typical characteristics in developing countries Bid formulation (continued) High levels of community integration Possible effect CE Increased risk of collusion (-) Poor availability of information If auction acts as an incentive to better deal with information scarcity the positive effect could be higher in developing country where information gap is larger Bidding Poor communication and physical infrastructure Bargaining economy Punctuality less common Constraints do not affect auction as such but reduce scalability which can increase transaction costs, limit competition, both with negative effects on cost-effectiveness (+) (-) Need for multiple rounds. Increase of transaction costs. Limits on scale (-) Increases difficulty to organize bidding for large groups (-) 34 Center for Development Research University of Bonn ZEF Bonn Conclusion Some of the typical characteristics in developing countries could potentially affect the design, implementation and success of auctions in developing countries. Some of these effects are positive and some of them negative. Is the outcome of such differences simply another performance or get reflected in other designs (e.g. multiple rounds vs. one shot), also because smaller scales may offer the opportunity to do so? Understanding overall effects probably requires more field experience 35 Center for Development Research University of Bonn ZEF Bonn Thank you Tobias Wünscher (ZEF) tobias.wuenscher@uni-bonn.de 36