| Literature DB >> 30147794 |
Abstract
Natural resource management has changed profoundly in recent decades emphasizing new legislation that transfers responsibilities to local user groups. In this article, I follow changing water policies to Namibia and show that the enactment of policy in local institutions deviates from community-based natural resource management (CBNRM) blueprints and design. To understand why, I examine the theoretical premises of CBNRM. CBNRM is informed by rational choice theory which isolates economic transactions (e.g., sharing water) and assumes that people design institutions for a specific good. However, in the communities I study ethnographically, people depend on sharing multiple resources. To better understand how the degree of sharing and institutional overlaps matter, I explore empirically the concept of institutional multiplexity. Institutional multiplexity describes the number of transactions between two households in a social network. The results reveal that almost all social networks are institutionally multiplex. Institutional multiplexity implies that people cannot separate the sharing of water from sharing in other domains. Institutional multiplexity hinders the implementation of design principles such as fixing boundaries, sharing costs proportional to use, and formal sanctioning. However, it also opens other means for governing nature through social control.Entities:
Keywords: Africa; CBNRM; Natural resource governance; Social network analysis; Social networks; Water
Year: 2018 PMID: 30147794 PMCID: PMC6086304 DOI: 10.1007/s11625-018-0549-2
Source DB: PubMed Journal: Sustain Sci ISSN: 1862-4057 Impact factor: 6.367
Fig. 1Uniplex (a) and multiplex (b) social network in comparison
Fig. 2Research area in northwestern Kunene, Namibia
Social network relationships elicited in seven communities
| Question | |
|---|---|
| 1 | If anyone in your household needs to organize a donkey cart for the following day, whom do you ask for it? |
| 2 | If you (your house) need sugar or cooking oil, whom do you usually ask to give you some? |
| 3 | If you (your house) slaughter a goat, to whom do you send some meat? |
| 4 | Who is herding your cattle if you and your sons are absent or sick? |
| 5 | Imagine you are sick. To whom do you commit money to bring you some medicine from Fransfontein/ Otwani/ Opuwo? |
| 6 | With whom do you usually visit to have a chat? |
| 7 | If you are in urgent need of cash for paying the water fees, whom do you ask to lend you some money? |
| 8 | If you notice that the water point (all the water infrastructure) has been damaged, whom do you contact first? |
Institutional multiplexity of all network relationships (N = 776)
| Institutional multiplexity | Number of relationships ( | Percent of relationships (%) |
|---|---|---|
| Level 1 | 61 | 7.9 |
| Level 2 | 324 | 41.8 |
| Level 3 | 169 | 21.8 |
| Level 4 | 89 | 11.5 |
| Level 5 | 63 | 8.1 |
| Level 6 | 50 | 6.4 |
| Level 7 | 14 | 1.8 |
| Level 8 | 5 | 0.6 |
| Level 9 | 1 | 0.1 |
| Sum | 776 | 100 |