This study examines the impacts of fiscal capacity on the acceleration of poverty alleviation through a dynamic simultaneous equations model using empirical data of 23 provinces and conducting historical simulation. The increasing of fiscal capacity from local taxes and tax-revenue sharing have significant impact on poverty reduction, particularly in agricultural household, which has the largest share in number of poor in Indonesia indicated by larger decline of agricultural headcount index than industrial and trade headcount index. However, the increasing of General Allocator Fund/Dana Alokasi Umum (DAU ) has negative impact on agricultural headcount index. The policy implication is to increase revenue from taxation by local governments as the impact is more effective in accelerating poverty reduction. Keywords: Fiscal Capacity, Poverty Reduction, Policy Simulation
AbstrakStudi ini menganalisis dampak kapasitas fiskal dalam mempercepat pengentasan kemiskinan di Indonesia melalui jalur pertumbuhan pro-poor melalui model persamaan simultan dinamis atas data empiris 23 provinsi dan simulasi historis. Peningkatan kapasitas fiskal dari pajak daerah dan bagi hasil pajak berdampak paling besar dalam menurunkan kemiskinan terutama di rumah tangga pertanian yang mendominasi jumlah penduduk miskin di Indonesia di mana headcount index pertanian turun lebih besar dibandingkan headcount index industri dan perdagangan. Sebaliknya, peningkatan Dana Alokasi Umum (DAU) berdampak negatif pada kemiskinan pertanian. Implikasinya adalah pemerintah daerah perlu meningkatkan penerimaan dari perpajakan karena dampaknya lebih efektif mempercepat pengentasan kemiskinan.
This paper presents a study of sustainable regional development using multi-criteria analysis. The aim of this paper is to provide an evaluation framework that can be used for the assessment of sustainable regional development using multi criteria linked to development scenarios set by stakeholders. This study was carried out in Jambi Province in Indonesia where balancing sustainable development is constrained by the fact that conservation areas make up the majority of the region. The study employs four alternative policy scenarios for regional sustainable development: (1) business as usual; (2) development based on regional competitiveness; (3) development based on local resources; and (4) regional development based on non-extractive scenario. These four scenarios were assessed using the FLAG Model and the Imprecise Decision Model. Results from analysis show that development policy scenarios based on utilization of local resources and non-extractive economic activities are the most sustainable way of regional development. The study shows the trade-off among policy scenarios must be faced by policy makers in the region either to pursue high economic growth at the cost of the environment or vice versa.
Regional Development encompasses many aspect of economic, social, and environmental attributes. In the context of developing country, the decision to fulfill these attributes are often hindered by lack of clear development scenarios and constraints. This study is an attempt to capture the complexity of decision makers for regional development scenarios using imprecise decision modeling (IDM) by incorporating imprecise information and uncertainties. A series of social, economic and environmental criteria based on agreement from multi stakeholders dialogues were developed along with four policy development scenarios, and 13 indicators of economics, social and environment aspects were assessed. Data were analyzed using expected value theory and selection of the best policy senario was analyzed by means of delta method. Results from such a modeling provides variety of decision alternatives based on probabilities and risk assessment associated with achieving policy objectives.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.