Kadek Aris Prasetya
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Analisis Spasial Produktivitas Setengah Penganggur di Indonesia Tahun 2017: Perbandingan dengan Sektor Primer [Spatial Analysis of Underemployment Productivity in Indonesia 2017: A Comparison with Primary Sector] Kadek Aris Prasetya; Ernawati Pasaribu
Jurnal Ekonomi & Kebijakan Publik Vol 10, No 2 (2019)
Publisher : Pusat Penelitian, Badan Keahlian DPR RI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22212/jekp.v10i2.1353

Abstract

There are a large number of worker in Indonesia due to its high number of population. However, goverment should pay close attention to the worker's quality since it can cause problems in the economic structures integration. The quality of labor in each region can be measured by labor productivity. Labor productivity can be seen by underemployment rate, especially in primary sector. In analyzing underemployed workers, there is a possibility of inter-provincial linkages. This study aims to identify factors that affect productivity of underemployed workers, both direct and indirect effects and comparison with primary sector. The analytical method used is descriptive analysis and inferential analysis using spatial regression method. The results showed that the productivity of underemployed workers in all sectors and primary sector was affected by different spatial effects. Labor productivity of all sectors is influenced by spillover effect of independent variables, while in primary sector is influenced by spillover effect of independent variables and spatial effect of dependent variable. The productivity of workers in all sectors is more influenced by the level of education than the level of health, while in the primary sectors is more influenced by the level of health than the level of education. Wage and investment factors have a positive effect on all sectors and primary sector. This study recommends government to revitalize primary sector in order to integrate economic structure transformation and to improve quality of health, education, and investment to increase productivity.Keywords: productivity, underemployment, SLX, SDM, spillover effectAbstrakIndonesia adalah negara dengan jumlah penduduk yang tinggi, sehingga jumlah angkatan kerjanya juga tinggi. Namun apabila kualitas dari angkatan kerja tersebut rendah, maka hanya akan menimbulkan masalah dalam integrasi struktur ekonomi. Kualitas tenaga kerja daerah dapat diukur dengan nilai produktivitas pekerja. Salah satu faktor yang digunakan untuk melihat produktivitas pekerja adalah tingkat pekerja setengah menganggur khususnya pada sektor primer. Dalam menganalisis pekerja setengah menganggur terdapat kemungkinan adanya keterkaitan antarprovinsi. Penelitian ini bertujuan untuk mengidentifikasi faktor-faktor yang memengaruhi produktivitas pekerja setengah menganggur, baik efek langsung maupun tidak langsung serta perbandingannya dengan sektor primer. Metode analisis yang digunakan adalah analisis deskriptif serta analisis inferensial dengan metode regresi spasial. Hasil penelitian menunjukkan bahwa produktivitas pekerja setengah menganggur di seluruh sektor dan sektor primer dipengaruhi oleh efek spasial yang berbeda. Produktivitas pekerja seluruh sektor dipengaruhi oleh spillover effect dari variabel independen, sedangkan pada sektor primer dipengaruhi oleh spillover effect variabel independen dan efek spasial variabel dependen. Produktivitas pekerja di seluruh sektor lebih dipengaruhi oleh tingkat pendidikan dibandingkan tingkat kesehatan, sedangkan di sektor primer lebih dipengaruhi oleh tingkat kesehatan dibandingkan tingkat pendidikan. Tingkat upah dan tingkat investasi berpengaruh positif baik pada seluruh sektor maupun sektor primer. Penelitian ini merekomendasikan pemerintah untuk merevitalisasi sektor primer demi pengintegrasian perubahan struktur ekonomi serta meningkatkan kualitas kesehatan, pendidikan, dan investasi demi peningkatan produktivitas.Kata kunci: produktivitas, setengah menganggur, SLX, SDM, efek tidak langsung
Analisis Spasial Pembangunan Ekonomi Inklusif di Indonesia Tahun 2019, 2020 dan 2021 Kadek Aris Prasetya; IdaAyu Nyoman Saskara; Putu Ayu Paramitha Purwanti
Jurnal Ekonomi Kuantitatif Terapan Vol 18 No 1 (2025): Vol. 18, No. 1, FEBRUARI 2025 (pp.1-149)
Publisher : Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JEKT.2025.v18.i01.P02

Abstract

Economic development is not only seen from the quantity of growth but also the quality of development. Inclusive economic development is an indicator that can see the quality of development. This research was conducted in all provinces in Indonesia by looking at the spatial inclusive economic development index in 2019, 2020 and 2021. The method of analysis in this study is descriptive analysis that describes the distribution of the inclusive economic development index in all provinces in Indonesia and inferential analysis shown by spatial regression models with spatial effects of the inclusive economic development index. The results showed that the distribution of the inclusive growth index in Indonesia has a spatial effect in 2019, 2020 and 2022. The clustering of high growth index is in Java Island while the low one is in eastern Indonesia. The spatial regression model shows that the inclusive economic development index has a significant spatial effect in 2019, 2020 and 2021. The variables life expectancy, average years of schooling, gross fixed capital formation and open unemployment rate have a significant influence on inclusive economic development in 2019. In 2020 and 2021 the variables average years of schooling and gross fixed capital formation have a positive influence and significant to the inclusive development index. Furthermore, it is necessary to collaborate between local governments in an effort to increase the inclusive growth index given the spatial influence. This is one of the efforts so that economic development can be enjoyed inclusively by all residents in Indonesia.