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Diagnosing Participation and Inclusion in Collective Decision-Making in the Commons: Lessons from Ecuador Cover

Diagnosing Participation and Inclusion in Collective Decision-Making in the Commons: Lessons from Ecuador

By: Tanya Hayes and  Felipe Murtinho  
Open Access
|Feb 2023

Figures & Tables

ijc-17-1-1200-g1.png
Figure 1

Case study location.

ijc-17-1-1200-g2.png
Figure 2

Conceptual framework (adopted from Ostrom 2011).

Table 1

Descriptive statistics of data use in statistical analyses (by community).6

COMMUNITY IDABCDEFGHIJKL
Dependent variables
Attendance (% high)62.5100.063.197.0100.051.581.338.995.654.580.350.0
Active participation (% active)69.253.825.862.156.340.368.851.437.731.853.760.0
Opinion respected (% yes)60.076.935.930.850.031.668.832.426.627.350.755.0
Agree with exec. committee (% yes)57.784.663.151.568.860.0100.037.853.631.861.240.0
Individual/household attributes
Gender (% women)69.246.266.250.762.555.150.073.749.372.752.960.0
Age (average)48.047.941.847.655.549.343.452.240.948.145.744.9
Education (% 7 years or more)37.523.125.429.925.020.625.021.122.118.214.740.0
Off-farm income (%)23.17.711.97.518.830.425.07.95.84.57.45.0
Wealth index0.27–0.940.110.490.260.07–0.22–0.080.08–0.06–0.31–1.04
Community sector (% high)11.50.044.110.40.042.20.00.027.50.048.557.9
Community/Governance attributes
Community size48171791203045026454173321631
Organization index–0.171.36–1.023.380.33–0.340.330.681.29–0.11–0.560.68
–Assemblies (#/year)61244812612424444
–Work Parties-Mingas (#/year)1248241212612481020448
–Monetary sanction for not attending assembliesYesYesNoYesYesYesYesYesYesYesYesYes
Women in executive committee (%)002000404060200022
Leadership trainingYesYesYesYesYesNoYesNoNoNoNoYes
PES Program participantYesYesYesYesYesYesNoNoNoNoNoYes
HH interviewed261368671669163869226820
% interviewed547638565315628417673165
Table 2

Logit models for participation and agreement with executive committee.

VARIABLESATTENDANCEACTIVE PARTICIPATIONOPINION RESPECTEDAGREE WITH EXEC. COMMITTEE
(1)(2)(3)(4)(5)(6)(7)(8)
Gender = 1, Woman–0.510**–0.232–0.591***–0.606***–0.461**–0.537**–0.404***–0.419**
(0.246)(0.210)(0.178)(0.190)(0.199)(0.248)(0.145)(0.177)
Age–0.0100.0040.0090.0060.019*0.018*–0.023***–0.021*
(0.011)(0.008)(0.009)(0.009)(0.011)(0.011)(0.009)(0.011)
Education = 1, 7 years or more–0.196–0.1460.2660.1010.518*0.412–0.563**–0.602**
(0.256)(0.244)(0.193)(0.229)(0.276)(0.254)(0.251)(0.288)
Off-farm income = 1, Yes–0.790**–0.3020.580*0.880***0.1630.2620.1270.106
(0.359)(0.260)(0.307)(0.331)(0.308)(0.284)(0.364)(0.387)
Wealth index0.1900.162**–0.057–0.0780.0130.0700.0660.074
(0.122)(0.083)(0.111)(0.079)(0.096)(0.092)(0.125)(0.135)
Community sector = 1, High0.0250.2980.3460.745**0.776***0.988***0.467*0.457*
(0.427)(0.549)(0.351)(0.322)(0.252)(0.198)(0.254)(0.267)
Community size0.006***–0.003***–0.002**0.001
(0.001)(0.001)(0.001)(0.001)
Organization index0.702***0.250***–0.129–0.112
(0.128)(0.090)(0.097)(0.073)
Women in executive committee–3.045***–0.343–0.3620.335
(0.459)(0.582)(0.555)(0.726)
Leadership training = 1, Yes1.843***–0.2860.4640.999
(0.229)(0.645)(0.545)(0.784)
PES Program = 1, SB–1.520***–0.022–0.440–0.405
(0.299)(0.427)(0.386)(0.606)
Constant1.915**0.458–0.3980.202–1.378**–0.8271.566***1.083
(0.796)(0.469)(0.590)(0.714)(0.574)(0.563)(0.411)(0.680)
Observations474474473473459459474474
McFadden’s Pseudo R20.02350.1900.03200.06850.04240.07410.03210.0449
Overall correct predictions (%)73.2175.7461.7363.4263.4065.3660.1362.66
AIC

[i] Robust standard errors in parentheses *** p < 0.01, ** p < 0.05, * p < 0.1.

Table 3

Logit models with gender interaction.

VARIABLESATTENDANCEACTIVE PARTICIPATIONOPINION RESPECTEDAGREE WITH EXEC. COMMITTEE
(1)(2)(3)(4)
Gender = 1, Woman–0.361–1.208***–0.927–0.649**
(0.248)(0.218)(0.683)(0.283)
Age0.0050.0070.018*–0.021*
(0.009)(0.009)(0.010)(0.011)
Education = 1, 7 years or more–0.1240.0780.385–0.586**
(0.261)(0.233)(0.267)(0.293)
Off-farm income = 1, Yes–0.3290.949***0.3180.103
(0.259)(0.354)(0.288)(0.402)
Wealth index0.162*–0.0840.0680.063
(0.085)(0.082)(0.094)(0.132)
Community sector = 1, High0.2710.710**0.981***0.399
(0.540)(0.326)(0.197)(0.268)
Community size0.006***–0.003***–0.002***0.001
(0.001)(0.001)(0.001)(0.001)
Organization index0.694***0.250***–0.115–0.132*
(0.127)(0.089)(0.093)(0.079)
Women in executive committee–4.077***–1.371**–0.445–0.920
(0.845)(0.553)(0.996)(1.023)
Gender * Women in executive committee1.479*1.672**0.1761.926**
(0.801)(0.657)(1.470)(0.765)
Leadership training = 1, Yes2.163***–0.689–0.0061.174
(0.324)(0.604)(0.658)(0.871)
Gender * Leadership training–0.4950.690**0.734–0.224
(0.328)(0.295)(0.615)(0.275)
PES Program = 1, PSP Participant–1.481***–0.013–0.416–0.400
(0.296)(0.446)(0.399)(0.620)
Constant0.4870.532–0.5711.171
(0.549)(0.611)(0.464)(0.719)
Observations474473459474
McFadden’s Pseudo R20.1960.07420.07900.0517
Overall correct predictions (%)76.3764.2764.7163.08

[i] Robust standard errors in parentheses *** p < 0.01, ** p < 0.05, * p < 0.1.

ijc-17-1-1200-g3.png
Figure 3

Household agreement and participation variables by community.7

DOI: https://doi.org/10.5334/ijc.1200 | Journal eISSN: 1875-0281
Language: English
Submitted on: May 13, 2022
Accepted on: Dec 7, 2022
Published on: Feb 10, 2023
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2023 Tanya Hayes, Felipe Murtinho, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.