During the COVID-19 pandemic, all regions in Indonesia have had negative economic growth. It also increased the poverty rate in the country. The government must allocate pro-growth and poverty reduction programs to maintain economic growth and simultaneously reduce poverty. This study aims to measure the relative efficiency of pro-growth poverty reduction spending of local governments in seven regions in Indonesia. This study compares the efficiency scores before and during the COVID-19 pandemic from 2015 to 2019 and 2020. The inputs are five types of government spending: education, health, economic, social protection, and infrastructure. The outputs are economic growth and poverty reduction. Data envelopment analysis with an output-oriented model and a return to scale variable approach is applied. The results show that the highest average local government efficiency score was in Kalimantan, with the lowest being in Sulawesi. The efficiency scores of local governments in the COVID-19 pandemic differ between regions: it remained stable in Kalimantan, increased in Java-Bali, Sumatra, and Sulawesi, and experienced a decline in Nusa Tenggara, Maluku, and Papua. The study concludes that economic growth and poverty reduction can simultaneously measure government efficiency. To be relatively efficient, local governments need to consider allocating pro-growth poverty reduction spending to improve the conditions of both outputs.
Mayoritas penduduk Kelurahan Pasar Bengkulu masih banyak yang menganggur, padahal sebagian besar penduduk berusia produktif. Sementara itu, jika dilihat dari rasio laki-laki dan perempuan, sebagian besar penduduk Keluarahan Pasar Bengkulu adalah perempuan. Penduduk yang menganggur tersebut mayoritas berasal dari golongan perempuan. Oleh karena itu, perlu adanya upaya agar perempuan-perempuan yang ada di Kelurahan Pasar Bengkulu ini bisa membantu untuk meningkatkan perekonomian keluarganya. Apalagi kemampuan dalam pemenuhan kebutuhan penduduk, akhir-akhir ini mengalami penurunan. Hal ini disebabkan karena banyak aktivitas perekonomian yang terkena dampak covid 19, sehingga tidak sedikit juga masyarakat yang dirumahkan. Adapun salah upaya yang bisa dilakukan untuk mengisi waktu luang bagi kaum perempuan guna meningkatkan perekonomian keluarga yaitu dengan cara melakukan aktivitas-aktivitas produktif, seperti membuka jasa pembuatan hantaran dan seserahan pernikahan. Penyediaan jasa pembuatan seserahan dan hantaran pernikahan ini memang sangat dibutuhkan, hal ini disebabkan karena banyak masyarakat yang ingin menikah dan menggunakan jasa ini. Oleh karena itu, Pada pengabdian ini akan diberikan pelatihan membuat hantaran dan seserahan bagi ibu-ibu PKK di Kelurahan Pasar Bengkulu. Pelaksanaan kegiatan pengabdian kepada masyarakat ini dilakukan dengan memberikan penuluhan dan praktek pembuatan desain hantaran pernikahan.
Penelitian ini bertujuan untuk mengetahui peranan sektor ekonomi termasuk bagaimana keterkaitan masing-masing sektor tersebut mempengaruhi ekonomi di Indonesia. Penelitian ini menggunakan data Tabel Input-Output Indonesia menurut Harga Dasar Klasifikasi 17 Sektor yang diagregasi menjadi 9 sektor. Metode analisis dilakukan menggunakan input-output model yang penghitungannya dibantu dengan menggunakan program Microsoft Excel. Dari penelitian, didapatkan bahwa sektor industri pengolahan memperlihatkan keterkaitan langsung kedepan dengan nilai tertinggi. Hal ini dapat ditafsirkan bahwa pertumbuhan ekonomi Indonesia lebih banyak dipengaruhi oleh pertumbuhan sektor industri pengolahan dan memberikan makna bahwa basis perekonomian Indonesia saat ini bertumpu pada sektor industri pengolahan. Lebih jauh lagi, sektor industri pengolahan memiliki hubungan besar dengan sektor pertanian dimana sektor ini merupakan penyumbang input antara terbesar bagi sektor pertanian. Dengan demikian, kemajuan pada sektor industri pengolahan akan serta merta memajukan sektor pertanian sebagai multiplier efeknya.This study aims to analyze the magnitude of the forward and backward linkages of the any sector with others. The data used in this study were data from Indonesia Input-Output Table Domestic Transaction on the Basic Prices Classification of 17 sectors aggregated into 9 sectors obtained from Central Bureau of Statistics Republic of Indonesia (BPS). The method of analysis data was using the input-output model whose calculations assisted by Microsoft Excel program. The results showed that processing industry sector was a greatest total forward linkage. For that, we can say that economics growth in Indonesia still having processing industry as a leading sector. Further, this sector was having a big relationship with agricultural sector which contributed as a bigest input for agriculture. In conclusion, any development in processing industri sector will be develop agricultural sector as multiplyer effect.
The purpose of this study is to analyze labor productivity inequality and labor dualism in Bengkulu Province. The method used is descriptive analysis, equipped with class typology and elasticity of employment. We are using employment data from BPS publications. The results show that by dividing business fields into 17 sectors in 2018 and 2019, labor productivity inequality is awfully unequal, which is indicated by a very high standard deviation rate. Meanwhile, labor dualism is led by informal workers by a percentage of over 60%. More workers with primary education are absorbed in the informal sector, whereas educated workers are mostly taken in the formal sector. The highest coefficient of labor absorption elasticity for legal workers occurred in 2016 (3.14) and for informal workers in 2015 (1.73).Keywords: labor dualism, labor productivity
This study aims to analyze the financial performance of the Bengkulu Government with a degree of fiscal decentralization approach and to determine the effect of the regional original income (PAD) component on the Financial Performance of Bengkulu Government. The data used in this study was secondary data in the form of time series data and processed by multiple linear regression analysis tools (multiple regression). The empirical results of this study indicate that based on the calculation of the degree of fiscal decentralization ratio, the financial capacity of Bengkulu City is still at a very low capability level which is founded a very large difference between government spending and regional opinion. So it appears that Bengkulu Government still relies on assistance from the central government and was not independent yet. This can be an underline for local government to improve their ability being more independent and capable.
The purpose of this research is to know the possibility of flypaper effect on Financial Performance of Bengkulu City by knowing the influence of locally-generated revenue (PAD), General Allocation Fund (DAU) to Bengkulu City. This reaseach used the time series data about the Budget Realization Report (LRA) of Bengkulu City and the Financial Statistics of Bengkulu Province which provided by the Central Bureau of Statistics of Bengkulu Province. Data analysis tool used is multiple regression analysis.The empirical results of this research shows that the first, PAD has influential positive and significant to regional expenditure against the Bengkulu City, DAU has influential positive and significant regional expenditure against the Bengkulu City. The second, flypaper effect phenomenon is not occurring on financial performance of the Bengkulu City, it is seen of the value of the coefficients PAD greater than the value of the coefficients general allocation fund (DAU) and the result is significant on ? = 0.05.
The aims of this research are to determine the statistical causality between poverty, education level, economic growth, investment and income inequality in Bengkulu province. To analyze how the influence of education level, economic growth, investment and income inequality on poverty in Bengkulu province. This research are use granger causality test method and Panel Multiple regression. The result shows the variables have causal relations are income inequality with economic growth, income inequality with investment. Panel data regression results show that education, economic growth, and investment variables significantly influence poverty in Bengkulu province. Keywords : Granger Causality1, Education2, Economic Growth3, Invesment 4, Poverty 5
The objective of this research is to analyze the effect of direct expenditure, indirect expenditure, and population on the primary economic structure in Bengkulu Province. The analytical method used in this research is panel data regression analysis which is a combination of time series data and cross-section data. The data used in this research is secondary data obtained from the Central Statistics Agency of Bengkulu Province during 2010-2020 as well as other supporting reports. The data collected are direct expenditure, indirect expenditure, and population. The data used in this study is secondary data obtained from the Central Statistics Agency for 2010-2020 as well as other supporting reports. Based on the panel data regression results, the best model obtained in this study is the random effect model. The results of the study show that indirect spending and population have a significant effect on the primary economic structure in Bengkulu Province, while direct expenditure has no effect on the primary economic structure in Bengkulu Province. While simultaneously direct expenditure, indirect spending, and total population have a significant impact on district/city regional spending in Bengkulu Province with an R-squared amount of 93 percent.Penelitian ini bertujuan untuk menganalisis pengaruh belanja langsung, belanja tidak langsung, dan jumlah penduduk terhadap struktur ekonomi primer di Provinsi Bengkulu. Metode analisis yang digunakan dalam penelitian ini adalah analisis regresi data panel yang merupakan kombinasi data time series dan data cross section. Data yang digunakan dalam penelitian ini adalah data sekunder yang diperoleh dari Badan Pusat Statistik Provinsi Bengkulu selama tahun 2010-2020 serta laporan pendukung lainnya. Data yang dikumpulkan adalah belanja langsung, belanja tidak langsung dan jumlah penduduk. Data yang digunakan dalam penelitian ini adalah data sekunder yang diperoleh dari Badan Pusat Statistik tahun 2010-2020 serta laporan pendukung lainnya. Berdasarkan hasil regresi data panel, model terbaik yang diperoleh dalam penelitian ini adalah random effect model. Hasil penelitian menunjukkan bahwa belanja tidak langsung dan jumlah penduduk berpengaruh signifikan terhadap struktur ekonomi primer di Provinsi Bengkulu sedangkan belanja langsung tidak berpengaruh terhadap struktur ekonomi primer di Provinsi Bengkulu. Adapun secara bersama-sama belanja langsung, belanja tidak langsung dan jumlah penduduk berpengaruh signifikan terhadap belanja daerah kabupaten/kota di Provinsi Bengkulu dengan besaran R-squared sebesar 93 persen.
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