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Social capital, collective action, and communal grazing lands in Uganda Cover

Social capital, collective action, and communal grazing lands in Uganda

By: Maia Call and  Pamela Jagger  
Open Access
|Oct 2017

Figures & Tables

figures/ijc2017-2017024_fig_001.jpg
Figure 1

Location of RePEAT study villages, Uganda.

Table 1

Descriptive characteristics of communal grazing lands (from community survey).

CharacteristicCommunity level (n=32)Patch level (n=62)
Communities in cattle corridor (percent)59.7%
Perceived patch condition (percent)
 Bad9.80%
 Average42.70%
 Good47.50%
Patch usage by community members (percent)40%30%
Area of communal grazing land (hectares)*246
Grazing lands with use restrictions (percent)*8.06%

Median values represented rather than means to account for left skewed distribution of values.

*Household density per grazing land and use restriction variables were modeled but did not yield significant results, likely due to small sample size.

Table 2

Summary statistics.

MeanSDMinMaxDescription
Outcomes
 Communal grazing land (0/1)0.340.48011=Presence of grazing land, 0=Absence of grazing land
 Grazing patch condition2.390.6613Grazing patch condition where 1=bad, 2=average, 3=good
 Grazing patch usage (%)0.410.320.0121Proportion of households in a community using grazing land
Predictors
 Religious diversity2.730.8414Number of religions present in a community
 Ethnic diversity2.291.4316Number of ethnicities present in a community
 Variation in assets value2.721.74010Community coefficient of variation of household asset values standardized to 1–10 scale
 Variation in livestock value2.962.05010Community coefficient of variation of household livestock values standardized to 1–10 scale
 Variation in cattle ownership3.822.42010Community coefficient of variation of household cattle ownership standardized to 1–10 scale
 Mutual aid groups1.242.11012.12Number of mutual aid groups per 100 households in a community
 Local organizations0.891.5809.68Number of local organizations per 100 households in a community
 Microcredit groups1.773.40023.26Number of microcredit groups per 100 households in a community
 Partnerships with NGOs0.431.48012Number of partnerships per 100 households in a community
 Percentage of land owned80.2221.676.275304100Average percentage of land under owner tenancy in a community
 Percentage of land occupied16.2721.45093.72Average percentage of land under occupant tenancy in a community
 Percentage of land with tenant3.514.73021.72Average percentage of land under tenant tenancy in a community
 Number of households162157251023Number of households in a community
 Average Value of Assets (USD)88839566Average value of assets per household
 Average Value of Livestock (USD)22430082191Average value of livestock per household
 Average land per household (hectares)0.720.690.104.05Average land per household
 Livelihood diversity4.981.70010Index of livelihood diversity in a community in comparison with other communities
 Average cattle ownership5.487.21043Average cattle ownership per household
 Population density (people/pixel)3.102.390.2412.82Population density (1 km buffer)
 Driving time to town (hours)0.870.960.018Driving time to nearest town
 Cattle corridor (0/1)0.450.50011=Community is within the ‘cattle corridor’, 0=Community is not within the ‘cattle corridor’
 Forest density (pixels)30.5311.7210.2158.47Average tree cover across pixels within a community, year 2000 (1 km buffer)
 Precipitation (centimeters)12.261.928.0919.60Climate yearly average of rainfall across pixels within a community (1 km buffer)
Communities=94; Patches=62
Table 3

Logistic regression models predicting presence of grazing land.

Model 1Model 2Model 3Model 4
Social capital measures
 Bonding
  Religious diversity0.419***0.306***0.437**0.273**
(0.139)(0.127)(0.172)(0.140)
  Ethnic diversity0.9741.0430.8680.900
(0.173)(0.197)(0.171)(0.239)
  Variation in assets value1.392**1.453***1.3511.613*
(0.186)(0.202)(0.299)(0.427)
  Variation in livestock value0.9781.0630.8470.818
(0.192)(0.189)(0.139)(0.164)
  Variation in cattle ownership1.0441.0691.1941.318*
(0.144)(0.129)(0.133)(0.221)
 Bridging
  Mutual aid groups0.8470.8420.8810.713
(0.102)(0.114)(0.140)(0.155)
  Local organizations0.8240.8130.7150.792
(0.155)(0.153)(0.160)(0.204)
 Linking
  Microcredit groups0.747***0.710***0.764***0.680***
(0.0803)(0.0805)(0.0721)(0.0766)
  Partnerships with NGOs0.5110.5130.4480.439
(0.211)(0.215)(0.227)(0.247)
Property rights
 Land tenure1
  Percentage of land occupied1.038*1.0151.045**
(0.0200)(0.0125)(0.0208)
  Percentage of land with tenant1.0141.0271.003
(0.0560)(0.0549)(0.0591)
 Land tenancy2
  Percentage mailo land tenure0.981
(0.0161)
  Percentage customary land tenure1.002
(0.0108)
Community characteristics
  Number of households0.9991.001
(0.00243)(0.00310)
  ln(Average value of assets)1.7701.311
(1.039)(1.163)
  ln(Average value of livestock)0.412*0.427
(0.197)(0.264)
  ln(Average land per household)0.9690.486
(0.297)(0.259)
  Livelihood diversity1.486*1.739*
(0.329)(0.521)
  Average cattle ownership1.117*1.032
(0.0706)(0.0789)
  Population density0.691
(0.208)
Biophysical controls
  ln(Driving time to town)0.912
(0.347)
  Cattle corridor0.0838*
(0.110)
  Forest density0.972
(0.0376)
  Precipitation0.416**
(0.169)
Constant5.1734.87027.604.244e+08*
(5.175)(5.865)(208.4)(4.706e+09)
AIC119.18121.45126.85117.90
BIC144.62157.06175.17178.94
Observations94

Coefficients are presented as odds ratios, robust standard errors are in parentheses.

1Tenure base category percentage free/leasehold land tenure.

2Tenancy base category percentage of land owned.

***p<0.01, **p<0.05, *p<0.1.

Table 4

Ordered logistic regression model predicting grazing land condition (bad, average, good).

Model 1
Social capital measures
 Religious diversity0.265***
(0.128)
 Variation in assets value1.218
(0.433)
 Variation in livestock value0.844
(0.189)
 Variation in cattle ownership1.130
(0.389)
 Mutual aid groups0.344***
(0.122)
 Microcredit groups1.503
(0.902)
Community characteristics
 Number of households0.998
(0.00278)
 ln(Average value of assets)0.0700*
(0.102)
 ln(Average value of livestock)0.198**
(0.139)
 Livelihood diversity1.222
(0.367)
 Population density1.393
(0.735)
Biophysical controls
 Cattle corridor0.0459***
(0.0547)
 Precipitation0.460
(0.238)
 ln(Driving time to town)0.240***
(0.116)
Observations62

Coefficients are presented as odds ratios, robust standard errors are in parentheses.

***p<0.01, **p<0.05, *p<0.1.

Table 5

Generalized linear model predicting grazing land usage.

Model 1
Social capital measures
 Religious diversity0.572***
(0.0838)
 Variation in assets value2.741***
(0.381)
 Variation in livestock value1.438***
(0.139)
 Variation in cattle ownership0.520***
(0.0574)
 Mutual aid groups0.715***
(0.0876)
 Microcredit groups0.775
(0.155)
Community characteristics
 Number of households0.994***
(0.00110)
 ln(Average value of assets)0.0566***
(0.0253)
 ln(Average value of livestock)4.442***
(0.980)
 Livelihood diversity1.141
(0.158)
 Population density3.010***
(0.554)
Biophysical controls
 Cattle corridor16.18***
(7.309)
 Precipitation1.723***
(0.191)
 ln(Driving time to town)1.285*
(0.171)
Constant244.6
(1119)
Observations62

Coefficients are presented as relative proportion ratios, robust standard errors in parentheses.

***p<0.01, **p<0.05, *p<0.1.

DOI: https://doi.org/10.18352/ijc.761 | Journal eISSN: 1875-0281
Language: English
Published on: Oct 16, 2017
Published by: Uopen Journals
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2017 Maia Call, Pamela Jagger, published by Uopen Journals
This work is licensed under the Creative Commons Attribution 4.0 License.