incentive choice and joint liability in...1wunder, 2005 2asquith et al, 2008 2frey & jegen, 2001...

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INCENTIVE CHOICE AND JOINT LIABILITY IN PES Matthew Cranford Susana Mourato Department of Geography & Environment London School of Economics & Political Science @ ACES, Ecosystem Markets, ESP 2012

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INCENTIVE CHOICE

AND

JOINT LIABILITY

IN

PES

Matthew Cranford Susana Mourato

Department of Geography & Environment London School of Economics & Political Science

@ ACES, Ecosystem Markets, ESP 2012

CASH OR IN-KIND?

• Cash

– Flexible and divisible1

– Save or invest

– But…property2 , effects of money3,4, myopic spending

• In-kind

– Reciprocity may be cheaper 5

– Market constraints6

– But…conditionality?, what else?

1Wunder, 2005 2Asquith et al, 2008 2Frey & Jegen, 2001 3Vohs et al, 2006 5Heyman & Ariely, 2004 6Groom & Palmer, 2010

JOINT LIABILITY

• Information Asymmetries

– Some solutions for adverse selection in PES1

– Moral hazard not adequately addressed yet

– AES research focused on penalties2, in US/EU

• Groups and public good provision

– Group size and collective action

– Incentivising communities, not individuals

• Can we learn from microfinance?

1Ferraro, 2008 2Yano & Blandford, 2009

APPROACH

SURVEY

Implementation

• 1 researcher, 1 extension worker

• 152 paper-based surveys, 17 communities

• Opportunistic sampling, ~diversified by experience

Sections

• Basic info and household economics

• Environmental attitudes and experience

• Incentive Ranking and Choice experiment

SCENARIO

• Approximately 160 additional trees, across slightly more than 1 Ha

• In “living fences” or other agreed arrangement

• NGO covers up-front costs, you have to manage/protect

• Which type of incentive would you like?

• (Choice experiment)

DECISION PROCESS

X

Ranking C.E.

ANALYSIS

DESCRIPTIVE STATISTICS

Male 54%

Age 51

Education 5.4 years

Land 17.2 Ha 6.6 livestock, 5.3 wooded, 0.5 crops

Property 59% Title, 48% Traditional Rights

Income $3,712 (mean), $2,606(median) 41% <$2 PPP

RANKING INCENTIVES

Livestock Cash Trees Crops

1 38% 36% 22% 5%

2 31% 14% 39% 16%

3 24% 29% 24% 23%

4 7% 21% 16% 57%

AVERAGE CHOSEN

INCENTIVE

Value: COP268K

Materials: 56%

Group Size: 3.3 Families

CHOICE HEURISTICS

Primary Secondary

Group – 35% 21%

Cash – 25% 15%

Value 20% 18%

Cash + 12% 9%

Group + 7% 7%

None 1% 30%

LOGIT, RANDOM FX,

CONTROL

Ua,i Va,i a,i c,i,t/ Ia,i , aCi,t

a = alternative i = individual t = “time” c = in-kind, cows

Systematic Utility

Alt.-specific Error

Panel Effect Control Function

Logit w Random FX (1000 draws)

VALUE (/COP100,000) 1.090 (.102) ***

GROUP -0.484 (.102) ***

GROUP * GROUP 0.034 (.019) (*)

CROPS * Drive Time (/100m) -0.273 (.174)

TREES * Drive Time (/100m) -0.326 (.135) **

CASH * Drive Time (/100m) -0.361 (.087) ***

FX IN-KIND -0.875 (.187) ***

FX LIVESTOCK 0.749 (.354) *

Log likelihood -480

Pseudo R2 0.233

Logit w Random FX (1000 draws)

VALUE (/COP100,000) 1.090 (.102) ***

GROUP -0.484 (.102) ***

GROUP * GROUP 0.034 (.019) (*)

CROPS * Drive Time (/100m) -0.273 (.174)

TREES * Drive Time (/100m) -0.326 (.135) **

CASH * Drive Time (/100m) -0.361 (.087) ***

FX IN-KIND -0.875 (.187) ***

FX LIVESTOCK 0.749 (.354) *

Log likelihood -480

Pseudo R2 0.233

INTERESTING NON-RESULTS

• Community conservation (binary) against

– Cash

– Value

– Group

• Family size on group

• Drive time on group

• Crop income on crop support

• No other individual in-kind panel effects

(TENTATIVE) CONCLUSIONS

• Market constraints influence incentive choice

– Livestock inputs cost more money

– Wood resources cost less effort

• Cash vs. In-kind is a false dichotomy

– Evaluate incentive choice with other criteria

• Positive and negative group effect

– They don’t really like groups to start

– Marginal support + > coordination -

– CBA needed

THANKS!

[email protected]

Asquith, N. M., Vargas, M. T., & Wunder, S. (2008). Selling two environmental services: In-kind payments for bird habitat and watershed protection in Los Negros, Bolivia. Ecological Economics, 65(4), 675-684.

Ferraro, P. J. (2008). Asymmetric information and contract design for payments for environmental services. Ecological Economics, 65(4), 810-821.

Frey, B. S., & Jegen, R. (2001). Motivation Crowding Theory. Journal of Economic Surveys, 15(5), 589-611.

Groom, B., & Palmer, C. (2010). Cost-Effective Provision of Environmental Services: The Role of Relaxing Market Constraints. Environment and Development Economics, 15(02), 219-240.

Heyman, J., & Ariely, D. (2004). Effort for Payment. Psychological Science, 15(11), 787 -793.

Vohs, K. D., Mead, N. L., & Goode, M. R. (2006). The Psychological Consequences of Money. Science, 314(5802), 1154 -1156.

Wunder, S. (2005). Payments for Ecosystem Services: Some Nuts and Bolts (Occasional Paper No. 42). Jakarta: Center for International Forestry Research. Retrieved from http://www.cifor.org/publications/pdf_files/OccPapers/OP-42.pdf

Yano, Y., & Blandford, D. (2009). Use of Compliance Rewards in Agri‐environmental Schemes. Journal of Agricultural Economics, 60(3), 530-545.

Yano, Y., & Blandford, D. (2011). Agri-environmental policy and moral hazard under multiple sources of uncertainty. European Review of Agricultural Economics, 38(1), 141 -155.