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Title Resource Distribution and Social Networks in DRC
Post date 12/02/2015
C1 Background and Explanation of Rationale

When distributing resources, development organizations want to have the widest reach with limited resources. This is often achieved through distribution of resources by the village chief or appointed committees (either existing or newly formed). We are interested in testing the direction and spread of information and resources through the village, and uptake. This research question is directly relevant to policy makers and development agencies if we find that social network characteristics are useful for predicting information and resource spread within communities. From an academic perspective understanding how social learning takes place is an important area of research within both development literature as well as social network literature.

C2 What are the hypotheses to be tested?

Are socially central ambassador better than isolate ambassadors at:
-Increasing technology adoption
-Increasing fertilizer knowledge
-Increasing the Willingness to pay for fertilizer
-Increasing the wideness of distribution in a village
-Increasing the speed of diffusion
-Decreasing the reduction in above effects as it gets further removed from the network entry point
Do we see that the treatment effect tapers off if lower-stage ambassadors give the treatment for the following variables?
-Fertilizer adoption
-Fertilizer Knowledge
-Willingness to Pay for fertilizer
Which of the following variables can predict giving behaviour:
-Social Distance
-Physical Distance
-Being blood family members
-Being Field Neighbours
-Discussing agriculture with each other
-Eigenvector Centrality of the receiver
-Difference in eigenvector centrality between sender and receiver
-Age of the receiver
-Sex of the receiver
-Difference in sex
-Whether receiver is a migrant
-Income of the receiver
-Difference in Income
-Whether they are in a similar agricultural group
-Whether they go to the same church

C3 How will these hypotheses be tested? *

We mapped full social networks in 40 remote villages in the east of the Democratic Republic of Congo (DRC). Then, we trained several villagers in these villages in how to use chemical fertilizer, and gave them several bags of fertilizer. We asked them to distribute the fertilizer and the knowledge in the village. We randomly selected half of the villages to have the most central people as ambassadors, and the other half had the most isolate people as ambassadors. The only difference (if all goes well) between the two villages will be our ambassador assignment, allowing us to find the effect of ambassador centrality on our variables of interest.
Furthermore, we asked the ambassadors to also train ambassadors themselves, who would then train and distribute to other people. This allows us to get higher levels of distribution, and allows us to observe the change in our outcome variables as it gets further away from the source.
Finally, because we have expansive data on the relations between participants, we can use this result to examine if we can predict who ambassadors choose to share their knowledge and goods with.

C4 Country The Democratic Republic of Congo
C5 Scale (# of Units) 40 villages
C6 Was a power analysis conducted prior to data collection? No
C7 Has this research received Insitutional Review Board (IRB) or ethics committee approval? Yes
C8 IRB Number No number, but done by "Wageningen University Social Sciences Ethics Committee"
C9 Date of IRB Approval 03-10-2015
C10 Will the intervention be implemented by the researcher or a third party? Researchers
C11 Did any of the research team receive remuneration from the implementing agency for taking part in this research? not provided by authors
C12 If relevant, is there an advance agreement with the implementation group that all results can be published? not provided by authors
C13 JEL Classification(s) D83, O13