The effects of various property-rights regimes on natural resource systems have long been debated among scholars and practitioners. A large number of studies have investigated the relationship between various property-rights regimes and environmental outcomes and show that public, state, and private property regimes are each capable of producing sustainable environmental outcomes. However, the evidence is very diverse. This study examined how the changes in property rights regimes at the local level have impacted on lake degradation using an institutional economics perspective, specifically the property rights approach, by taking Lake Rawapening as the case. Lake Rawapening is a multifunctional semi-natural lake currently degraded where almost 70% of its surface is covered by water hyacinth and experiencing rapid siltation. This research used a case study method. Data and information were collected from in-depth interviews with key informants, government officials and reviews of reports and documents related to Lake Rawapening. Results of the study reveal that the current property rights regime in the lake and its catchment areas associated with social changes was driving local resource users towards greater lake degradation. There were opportunities to build on existing village-level institutions to develop collaborative management systems to help protect the lake ecosystem.

Past experiences indicate that the success of many farm forestry projects is mainly influenced by farmer’s participation. Ex ante estimation of the likelihood of farmers’ participation in a particular farm forestry project might reduce the risk of project failure. This study aims to analyze ex ante, farmer’s participation in a hypothetical farm forestry project for climate change mitigation based upon a survey data of 117 farm forestry farmers in Tempurejo Village, Wonosobo Regency. Logit estimation suggests that the likelihood of a farmer’s participation is likely affected by age of farmer, education, farm household size and farmer’s experience in farm forestry business. Two policies implication of these findings are that government should increase farmers’ knowledge of climate change through extension programs, such as climate field school, and align the design of farm forestry projects for climate change mitigation with the prevailing farm forestry management system practiced by farmers.

No abstract

Farm forestry is a form of farming systems that provides economic and environmental benefits. The salient feature of this system is the incorporation of commercial perennial plants, in particular forest trees, into farming systems and can take many forms, including timber belts, alleys and widespread tree plantings. While the system in some locations has been well adopted, the farmers or land users in other location are reluctant to adopt them, although the traits of farmers and farm land in both locations are similar. Recent adoption studies of farm forestry were in general applied static approaches which overlooked the dynamic aspect of adoption decisions. Meanwhile, information about dynamics of adoption decision making is necessity in designing extension policies as well as reengineering innovations to align with socio-economic conditions of the farmers. To close this gap, this paper is to examine factors affecting the speed of farm forestry adoption among small-holders using duration analysis. Results show that the speed of adoption were influenced by some variables included age of household head, level of education of household head, off-farm employment and output price. It is found that farmers with older age tend to adopt faster than the younger ones. The speed of adoption were also affected by whether the farmers engaged in off-farm employment or being a member of farmers group. The policy implications of this research are that government should design policies that promote farmers' participation in off-farm income activities and strengthening farmer groups in addition to extension services and timber markets.

Past experiences indicate that the success of many farm forestry projects is mainly influenced by farmers’ participation. Ex ante estimation of the likelihood of farmers’ participation in a particular farm forestry project might reduce the risk of project failure. This article is to analyze, ex ante, factors affecting a farmer’s participation in a hypothetical farm forestry project for climate change mitigation based upon a survey data of 117 farm forestry farmers in Tempurejo Village, Wonosobo Regency. Logit estimation suggests that the likelihood of a farmer’s participation is likely affected by age of farmer, education, farm household size and farmer’s experience in farm forestry business. Two policies implication of these findings are that government should increase farmers’ knowledge of climate change through extension programs, such as climate field school, and align the design of farm forestry projects for climate change mitigation with the prevailing farm forestry management system practiced by farmers.