Suchergebnisse

This study provides empirical findings on regional disparity in infrastructural facilities in 23 districts/municipalities of Aceh Province and the impact of the disparity on the economic performance of Aceh Province, specifically on those of economic growth, poverty, and unemployment. The unit of analysis is the district level and the Infrastructure Development Index (IDI) is used as the variable computed by using the multivariate method. Regional disparity is measured by the Coefficient of Variation and the impact of IDI on the province's economy is analyzed using the econometric model. The analysis shows that infrastructure development disparity exists and that IDI generally affects the economic performance in Aceh Province. Specifically, the results reveal that electricity provision, the number of hotels, and the length of road positively correlate with economic performance. However, the number of Base Transceiver Stations, the number of markets, and the number of banks do not necessarily lead to higher economic performance. The policy implications of the findings are discussed.

Fiscal decentralization is one of the government's strategies to improve people's welfare. The fiscal decentralization policy instrument that can directly affect the quality of local government spending is The Specific Allocation Fund (DAK). The DAK management in the financial aspect has a few problems, nonoptimal regional government performance and mismatched allocation and government needs. Proposal based The Specific Allocation Fund (DAK) hopefully could adjust the development priorities determined by regional conditions, government needs, and undeveloped villages with high-level poverty. Pandeglang and Lebak Regency are the region with the highest poverty level in Banten Province. This study aims to analyze the DAK effect of each sector on poverty in Pandeglang and Lebak Regency. The analysis used Geographical Weighted Regression (GWR) with DAK data for each field in 2018 and poverty data in 2019. The result showed that DAK variables in education, health, and agriculture tended not to reduce poverty rates. The DAK variable in the housing and settlement sector, the marine and fisheries sector, the tourism sector, and the market sector tended to reduce poverty. At the same time, the DAK variable in Road, sanitation, and village funds tended to reduce poverty levels in most districts. Based on the study, the poverty alleviation program in each district is adjusted to each of the DAK sectors that are influential. However, the result indicated that the adjustment of DAK sectors influenced the poverty alleviation program in every district in Pandeglang and Lebak Regency.