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Journal : Journal of Regional and Rural Development Planning

Perkembangan dan Karakterisasi Desa-desa Pegunungan Jawa Tengah: Development and Characterization of Mountain Villages in Central Java Andi Yoga Saputra; Ernan Rustiadi; Wiwiek Rindayati
Journal of Regional and Rural Development Planning (Jurnal Perencanaan Pembangunan Wilayah dan Perdesaan) Vol. 6 No. 1 (2022): Journal of Regional and Rural Development Planning (Jurnal Perencanaan Pembangu
Publisher : P4W LPPM IPB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jp2wd.2022.6.1.1-13

Abstract

The characteristics of mountain villages are very different from valley villages and plain villages, but socio-economically and environmentally related to each other. This study aims to analyze the level of development of physical facilities in mountain villages, analyze the village development index based on the dimensions of village development, and analyze the components of socio-economic, environmental, and developmental characteristics of mountainous villages in Central Java. Analysis of the level of development of mountainous village physical facilities used skalogram based on PODES 2018 data, village development index based on the dimensions of village development used the Village Index (ID) calculation formula, and analysis of the characteristics of the socio-economic, environmental, and developmental components of mountain villages used Principal Component Analysis (PCA). Results of the analysis of the level of development of the physical facilities of the mountainous villages show that 413 villages (67.81%) of the mountains are in the third hierarchical class (less developed). The category of village development based on the dimensions of development shows that mountain villages are included in the category of developing villages with an average value of ID 54.17. The components that best characterize the characteristics of mountainous villages are the potential for the danger of 21.9%, the availability of secondary school education facilities, health facilities, and the village development level of 16%, the component of trade facilities 5.8. %, the component of the availability of the micro-industry is 13.25%, and the component of the availability of health facilities are 8.8%.
Keterkaitan Belanja Pemerintah terhadap PDRB Perkapita Kabupaten/Kota di Sulawesi Tenggara Syuhada, La Ode Muhammad Tamzil; Rindayati, Wiwiek; Juanda, Bambang
Journal of Regional and Rural Development Planning (Jurnal Perencanaan Pembangunan Wilayah dan Perdesaan) Vol. 7 No. 2 (2023): Journal of Regional and Rural Development Planning (Jurnal Perencanaan Pembangu
Publisher : P4W IPB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jp2wd.2023.7.2.250-262

Abstract

The issuance of Law No. 1 of 2022 as a complement to Law No. 23 of 2004 concerning financial relations between the central and regional governments. Fiscal transfer policies are becoming more selective in seeing local needs. However, this needs to be supported by good fiscal management in the regions to carry out development activities that have an impact on increasing income that is more evenly distributed between regions and communities. One of the important instruments of fiscal decentralization is the management of government spending. Therefore, the purpose of this study is to examine the relationship between government spending and per capita income in Southeast Sulawesi. The units of observation analyzed are gross regional domestic product per capita in the previous year, personnel expenditures, goods and services expenditures, capital expenditures, HDI, district and city dummy variables. The model approach in the calculation is panel data regression analysis from 2016-2020. Based on the test results, the probability (F-statistics) is obtained, the equation of income per capita the Hausman test > 0.05, then the random effect model (REM) equation is the best model choice. The results of the analysis show all independent variables have a strong relationship with the dependent variable in the model which is shown by an R-square of 0.982. Variables that show significant effect on the increase in percapita income are (????????????????????????????(????−1)), goods and services expenditure, capital expenditure and HDI, while personnel expenditure has a negative effect on per capita income for both districts and cities in Southeast Sulawesi Province.