Towards measuring the transaction costs of co-management in Mkambati Nature Reserve, Eastern Cape, South Africa

• A transaction costs model is developed and tested for one reserve in South Africa.
• Understanding the co-management system from multiple perspectives is useful in measuring transaction costs.
• The transaction costs model is adaptable to different co-management settings.
• Transaction cost assessment is a practical tool to monitor cost-effectiveness of co-management.

During the last three decades, there has been an increased pursuit of participatory approaches to managing natural resources. In South Africa, this has been evident in the management of protected areas. In particular, land claims, which affect much of the conservation estate in South Africa, frequently result in co-management of protected areas by claimant communities and conservation agencies. This is occurring against a backdrop of declining state subsidies and growing expectations that South African conservation agencies will finance themselves while simultaneously stimulating local economic opportunities. In this context, it is important for co-management partners to understand and monitor the cost-effectiveness of management processes in achieving both the socio-economic and ecological targets of conservation management. Transaction costs are useful in gauging the cost-effectiveness of policies and institutions; however there is little methodological guidance for measuring transaction costs empirically. This study develops and tests a transaction costs model for a co-managed nature reserve in the Eastern Cape province of South Africa. Transaction costs were quantified by taking into account the total time spent in meetings annually, the daily opportunity cost of participants' time and the travel costs associated with attending such meetings. A key limitation in the development of this model was a lack of record keeping by the conservation agency. The model developed in this study offers a practical means for co-management partners in similar contexts to monitor how transaction costs change over time.