Title: Imperfections in Membership Based Organizations for the Poor
1Imperfections in Membership Based Organizations
for the Poor
- An Explanation for the Dismal Performance of
Kenyas Coffee Cooperatives
2Objective
- To show that the success of membership based
organizations of the poor is sensitive to the
underlying sociopolitical environment and that in
certain cases, releasing ownership and management
to groups of individuals can unleash incentives
that work against the benefits of collective
coordination and result in the diminished welfare
of its members. - I highlight this issue from the prospective of
the smallholder coffee industry in Kenya.
3Institutional Changes Impacting the Smallholder
Coffee Sub-Sector
- Why Cooperatives?
- Fragmented nature of production
- Large fixed costs
- Inadequate infrastructure, missing markets
- Liberalization
- 1998 New Cooperative Act Government relaxes
control on cooperatives. More decision making
power given to them - Present situation
- Bankrupt Cooperatives
- Deteriorating Factories and Infrastructure
- Generalized Corruption and Political Manipulation
- Neglected coffee trees
4Hypothesis
- The deterioration of coffee cooperatives can be
partly explained by the institutional changes in
cooperative organization that gave full ownership
and administrative control to its members.
5Vulnerabilities in Institutional Design
- Perfect Vote Signaling
- Practice of Mlolongo facilitates vote-buying
- Local Monopsony Power
- Protects cooperatives from competition thus
dampening the incentives for efficiency and
increasing the returns to rent-seeking
6Analytical Model
- Brief Summary
- Large expected rents increase incentive for
corrupt candidates to buy their way into office - Voters accept any bribe at least equal to the
expected loss of welfare should they be pivotal
voter. - Likelihood of being pivotal voter decreases with
increasing members.
7Data Analysis
- Nine of 19 Coffee Cooperatives in Muranga
District purposively selected. - Random selection of factories and coop members
serving these factories for farm level surveys.
Empirical Strategy
- Goal To test for the presence of rent-seeking
behavior in cooperatives and show that it has a
detrimental effect of the technical efficiency of
members. - The separate but interrelated tests
- Stochastic production frontier estimation to
extract farm-specific technical efficiency - Determinants of Payments to Farmers
- Determinants of Farm-Specific Technical Efficiency
8Stochastic Production Frontier Estimates
- Significant at the 99 level -
Significant at the 95 level - Significant
at the 90 level
9Density
Technical Efficiency
Gaturi
Kamacharia
Weithega
Kanyenyaini
Iyego
Kahuhia
Kanguno
Kiru
Kiriti
10Determinants of Payments to Farmers
- Significant at the 99 level -
Significant at the 95 level - Significant
at the 90 level
11Mean Cooperative Payments by Average Members per
Factory
Mean Cooperative Payments by Total Members per
Cooperative
12Sources of Inefficiency
- Significant at the 99 level -
Significant at the 95 level - Significant
at the 90 level
13- Summary
- A portion of the decline in cooperative
performance can be attributed to the gross level
of corruption/management incompetency present - Certain features of institutional environment
underlying coffee cooperatives undermine its
effectiveness - Collective organizations do not always lead to
pareto-improvements for their members. - Policy Implications
- Require that elections are carried out by
secret-ballot in the presence of objective
election supervisors - Remove legal monopsony protection and allow
farmers to sell to highest bidder - Creation of effective formal regulatory
mechanisms with prosecuting powers - Improved access to credit and extension advice
14Thank you for your attention
15Testing the Hypothesis
- Crisis of Kenyas coffee sector cannot be
explained by poor world prices - Highlighting vulnerabilities in components of
Institutional Design - Mlolongo Voting Tradition
- Local Monopsony Power
- Analytical Model
- Empirical Evidence
16Role of Weak International Markets
17Descriptive Statistics for Frontier Estimation
Model
18Descriptive Statistics for Payment Determinants
Regression
19Descriptive Statistics for Sources of
Inefficiency Regression
20(No Transcript)
21Descriptive Statistics for Selected Cooperatives