Inefisiensi Belanja Pemerintah Daerah di Indonesia:  Pendekatan DEA dan Regresi Logit

Rambe, Roosemarina Anggraini

doi:10.33105/itrev.v5i4.175

Cited by 9 publications

(17 citation statements)

References 19 publications

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“…With an input minimization orientation, in general, districts in underdeveloped regions can reduce their actual expenditures by 39.9 percent in 2017, 42.9 percent in 2018, and 42.8 percent in 2019 with reference to other districts that have been efficient. This research is in line with research conducted by Rambe (2020) which shows that government expenditure in education, health, social protection, and economy is also still inefficient, meaning that government expenditure in the four fields is considered not to be allocated optimally.…”

Section: Resultssupporting

confidence: 87%

“…The probability of fiscal transfer per capita is below 5 percent, so H0 is rejected. The results of this analysis are supported by research conducted by Rambe (2020), Tuladhar (2014), andYusfany (2015). Weingast (2009) explains that transfers or grants from the central government can reduce the accountability of local governments in their fiscal decisions.…”

Section: Resultssupporting

confidence: 78%

“…Apart from expenditure on education and health, government expenditure on social protection and economics also has an important role in improving people's welfare. Expenditures in these two fields are considered production costs that can result in the level of real per capita expenditure of the community (Rambe, 2020). The level of real expenditure per capita of the community shows the purchasing power of the people, with the greater the income, the greater the expenditure (Pramono & Soesilowati, 2016).…”

Section: Introductionmentioning

confidence: 99%

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Government Expenditure Efficiency on Human Development in The Underdeveloped Regions

Purwanto

Utami²

2023

jef

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This study aims to analyze the efficiency of government expenditure on human development and the effect of real GDRP per capita, population density, and per capita fiscal transfers on the efficiency of government expenditure on human development in underdeveloped regions during 2017-2019. The method used in this study is Data Envelopment Analysis (DEA) with input oriented to analyze the efficiency of government expenditure and panel data regression to analyze the determinants of efficiency. The data used in this study are 122 districts which are categorized as underdeveloped regions with a study period of 2017-2019. The results of this study indicate that there are only 10 districts that are always efficient during the study period, and there are 7 districts that are only efficient in certain years. The underdeveloped districts in the western part of Indonesia are more efficient than the eastern part of Indonesia. The results of this study also show that real GDRP per capita and per capita fiscal transfers have a negative effect on efficiency, while population density has a negative effect on efficiency.

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Section: Resultssupporting

confidence: 87%

Section: Resultssupporting

confidence: 78%

Section: Introductionmentioning

confidence: 99%

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Government Expenditure Efficiency on Human Development in The Underdeveloped Regions

Purwanto

Utami²

2023

jef

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“…The next stage of this research will analyse the factors that affect the level of efficiency of local governments. Several previous studies have revealed these factors, such as GDP per capita (Antonelli & De Bonis, 2018;Brini & Jemmali, 2016), population density (Doumpos & Cohen, 2014), and fiscal capacity (Rambe, 2020b).…”

Section: Introductionmentioning

confidence: 93%

Regional split and local government spending efficiency in Indonesia

Rambe

Alisjahbana

Wibowo

et al. 2022

Econ. manag. sustain.

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The research objectives are to (1) measure the efficiency of local governments in every province in Indonesia and (2) analyse the impact of regional splitting, GRDP per capita, population density, and fiscal capacity on the efficiency of local governments. This study employed per capita personnel spending, per capita spending on goods and services, and per capita capital spending. The output used in the dataset is the human development index. The first objective (local government efficiency) is measured by Data Envelopment Analysis (DEA), with VRS and an output-oriented model. DMUs are 34 provinces from 2013-to 2018. The second objective (the impact of regional splitting, GRDP per capita, population density, and fiscal capacity on efficiency) is measured by panel data regression with a random effect model. Results show that the always efficient provinces for 2013-2018 were Jakarta, Yogyakarta, and Banten. The study revealed 29 inefficient provinces in 2013, and this number increased to 31 inefficient provinces in 2018. Another finding is that regional splitting, GRDP per capita, population density, and fiscal capacity significantly impact local governments' efficiency. As inefficient provinces need to improve their efficiency, this study recommends that local governments focus on these four independent variables to strengthen their efficiency.

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“…Efisiensi didefinisikan sebagai rasio antara masukan dan keluaran (rasio output per unit input). Suatu organisasi dianggap efisien jika dapat memperoleh keluaran tertentu berdasarkan masukan seminimal mungkin atau dengan masukan tertentu dapat menghasilkan keluaran semaksimal mungkin (Rambe, 2020). Dalam konteks belanja prioritas pemerintah berupa program padat karya, ukuran efisiensi dilihat dari besaran realisasi anggaran dalam pelaksanaan program padat karya untuk menyerap tenaga kerja secara maksimal dengan tujuan mengurangi angka pengangguran.…”

Section: Pemerintahunclassified

Efektivitas Dan Efisiensi Belanja Prioritas Program Padat Karya Untuk Mengurangi Tingkat Pengangguran Di Masa Pandemi

2023

Journal ITRev

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Kondisi perekonomian nasional yang masih belum pulih akibat pandemi Covid-19 telah mengakibatkan tingkat pengangguran di Indonesia masih relatif tinggi. Penelitian ini bertujuan untuk menganalisis efektivitas dan efisiensi belanja prioritas program padat karya pada masa pandemi Covid-19 sebagai bagian dari program Pemulihan Ekonomi Nasional (PEN) untuk mengurangi angka pengangguran. Indikator yang digunakan dalam penelitian ini adalah Tingkat Pengangguran Terbuka (TPT) dan belanja Pemerintah untuk program prioritas padat karya selama pandemi Covid-19. Metode penelitian dalam tulisan ini menggunakan pendekatan kualitatif deskriptif dengan studi literatur melalui pengumpulan informasi dari berbagai sumber. Hasil penelitian menunjukkan program padat karya sangat efektif namun kurang efisien dalam mengurangi jumlah pengangguran di Indonesia. Hal ini dikarenakan program padat karya telah menyerap sejumlah tenaga kerja sesuai target yang telah direncanakan dengan menghabiskan anggaran belanja pemerintah yang besar pada beberapa daerah yang terdampak pandemi Covid-19 lebih dari 90% alokasi pagu anggaran belanja prioritas program padat karya, namun masih terdapat beberapa kendala yang dialami.

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Inefisiensi Belanja Pemerintah Daerah di Indonesia: Pendekatan DEA dan Regresi Logit

Cited by 9 publications

References 19 publications

Government Expenditure Efficiency on Human Development in The Underdeveloped Regions

Government Expenditure Efficiency on Human Development in The Underdeveloped Regions

Regional split and local government spending efficiency in Indonesia

Efektivitas Dan Efisiensi Belanja Prioritas Program Padat Karya Untuk Mengurangi Tingkat Pengangguran Di Masa Pandemi

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