Efektivitas Distribusi Raskin Di Pedesaan Dan Perkotaan Indonesia

This research aims to investigate effectiveness of rice for the poor program (Raskin) in rural and urban Indonesia based on the National Socio Economic Survey data (Susenas) collected by Central Bureau of Statistic (BPS) in 2007. Number of sample was 52,370 households. Effectiveness of Raskin Program was measured by target, quantity and price accuracy indexes. Logistic regression model was used to identify factors affecting probability of a household to receive raskin or not. The results of analysis show that raskin distribution was not yet accurately reach the target beneficiaries. Raskin distribution was also not accurate in quantity and price. Quantity accuracy index was 58 percent in rural, 53 percent in urban and 57 percent in Indonesia. Price quantity index was 68 percent in rural, 63 percent in urban and 67 percent in Indonesia. Probability of a household to receive raskin was affected by education, gender, age, household member, income, employment, floor condition and location

Sustainability of Fishery Pond Polyculture with and Without Mangrove Integration

This research aims to analyze the sustainability of two types of fishery pond polyculture of milkfish-tiger shrimp with and without mangrove integration on small-scale farms. Sustainability dimensions considered in this research included are the ecology, economy, social-culture, technology-infrastructure, and laws-institutions as the dimensions analyzed. The performance of each aspect was analyzed by using Multi-dimensional scaling (Rapfish) and leverage analysis. The result shows that the current multidimensional sustainability status of the fishery pond polyculture both with and without mangrove integration was less sustainable (sustainability index of 44.98 and 36.18 respectively). The result of leverage analysis indicates that out of 73 attributes, there were 16 and 23 sensitive attributes respectively that affect the sustainability of polyculture fishpond with and without mangrove integration. These attributes should be managed immediately in order to improve the sustainability index of fishery pond polyculture, this includes organic pesticides application, source of capital, the availability of seeds of milkfish and tiger shrimp, market location, selling price, waste treatment technology, availability of agribusiness facilities and infrastructure, aquaculture technology, information technology, standardizing the quality of fishery products, availability of micro finance institution and others

Sustainability Analysis of Coffee Farming in Protected Forestof West Lampung Based on Enviromental Economic Value

Study on sustainability of multistrata coffee systems is important related to community forest program. This research aims to study: (1) sustainability of coffee farming in protected forest of West Lampung (2) willingness to pay the external cost and its determinant factors. The study was conducted in Sumberjaya, West Lampung Regency from Juni to October 2009. The study used random sampling method with 50 protected forest farmers were interviewed. Extended Cost Benefit Analysis (ECBA) was used to address the purpose (1) while analysis of ordinal logistic regression was to address the purpose (2) Financial analysis showed that coffee farming in protected forest is feasible with NPV of IDR 17,719,505/ha, BCR 1.86 and IRR 24.96%. Coffee with complex multipurpose shade (MPTS, multipurpose tree species) generated highest NPV. Based on ECBA, sustainability depended on externality cost (environmental and social cost). Coffee farming was not sustainable (shown by negative NPV) when externality cost was more than US $536/ha. When externality cost was 458 USD ha-1 year-1 (minimum value) NPV is Rp1.648.633/ha, BCR 1,04 and IRR 26,88. Complex multipurpose shade coffee was the most sustainable among the systems. To sustain the environment, farmers willing to pay external cost in average of Rp475,660/year for soil conservation, planting more shade trees, environmental tax, and reforestation. Based on ordinal logistic regression, farm size, land productivity, household income, household size, and knowledge of forest benefits, positively influencid WTP. Policy of community forest (HKm permit) that require a minimum of 400 trees/ha could improve sustainability of coffee farming

Kesediaan Membayar Petani Kopi Untuk Perbaikan Lingkungan

This study aims were, first to measure the level of farmers' willingness to pay the external cost to improve the environment and second, examine the determinant factors. The experiment was conducted in District Sumberjaya and Sekincau, West Lampung District during June-October 2009. Contingent Valuation Method (CVM) was used to answer the first purpose, while ordinal logit regression analysis was used to answer the second purpose. Factors of farmland area, land productivity, household income, educational level, number of family labor, and knowledge of farmers about the benefits of forests had positive influence on WTP while distance of farmers' house to the forest had negative influence. The increase of WTP was needed to reduce environmental damage due to forest conversion to coffee plantation; moreover, environment improvement hopefully could restore the function of forest where coffee trees were planted