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<![CDATA[Projection 0f Labor Needs and Productivity to Reduce Unemployment ]]>
<![CDATA[Agusalim, Lestari]]>
<![CDATA[ JEJAK: Jurnal Ekonomi dan Kebijakan Vol 9, No 2 (2016): September 2016 ]]>
Publisher : <![CDATA[Semarang State University ]]>
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DOI: 10.15294/jejak.v9i2.7631
<![CDATA[The purpose of this study is to estimate the amount of labor needs and productivity in Banten Province from 2016 until 2020. By estimating the needs and productivity of the labor, the government can use this information to create the appropriate policies in order to reduce the open unemployment rate (OUR) in Banten Province. According to BPS data in 2014, OUR of Banten Province was the highest among other provinces in Java and second highest in Indonesia after Maluku. This study used the quantitative method, which are the exponential and geometric methods to project the labor needs. Other than that, this study used the descriptive method to interpret the quantitative data. The result showed that (1) from 2016 until 2020 there will be an increasing condition of employment, (2) from 2010 until 2014, the highest labor productivity were from electricity, gas and water sector. However from 2016 â 2020, the highest labor productivity will be from financing, insurance, real estate, land, and business services. (3) The number of OUR is expected to decrease annually. Meanwhile OUR in 2016 which is 7.39 percent will decrease to 3.94 percent in 2020.]]>
<![CDATA[PERTUMBUHAN EKONOMI, KETIMPANGAN PEDAPATAN DAN DESENTRALISASI DI INDONESIA ]]>
<![CDATA[Agusalim, Lestari]]>
<![CDATA[ KINERJA Vol 20, No 1 (2016): Kinerja ]]>
Publisher : <![CDATA[Faculty of Economics Universitas Atma Jaya Yogyakarta ]]>
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DOI: 10.24002/kinerja.v20i1.697
<![CDATA[AbstrakPenelitian ini bertujuan untuk mengkaji pengaruh desentralisasi dalam mendistribusikan pendapatan nasional untuk mengurangi ketimpangan pendapatan di Indonesia. Data yang digunakan adalah data sekunder, yaitu PDB sebagai representasi pendapatan nasional dan data indeks gini sebagai representasi tingkat ketimpangan pendapatan dengan rentang waktu 1978-2015. Metode analisis menggunakan regresi linear dengan pendekatan OLS dimana Indeks gini digunakan sebagai variabel dependen, dan PDB sebagai variabel independen. Selain itu, terdapat variabel independen lainnya, yaitu variabel dummy desentralisasi yang berguna untuk mengetahui pengaruh desentralisasi terhadap ketimpangan pendapatan. Hasil analisis menunjukkan bahwa dari aspek ekonomi, desentralisasi belum mampu mendistribusikan pertumbuhan ekonomi untuk memperkecil ketimpangan pendapatan masyarakat.Kata Kunci: Pertumbuhan Ekonomi, Ketimpangan Pendapatan, DesentralisasiAbstractThis research aims to analyze the effect of decentralization on national income distribution and the reduce of income Inequality in Indonesia. This research used secondary data with gross domestic product (GDP) representing national income and gini index data representing income inequality from 1978 to 2015. An OLS Linear Regression approach was employed where the gini index was the dependent variable, and the independent variables were GDP and the Dummy for decentralization implementation. The result revealed that decentralization had not been able to distribute economic growth to minimize income Inequality.Keywords: Economic Growth, Income Inequality, Decentralization]]>
<![CDATA[PAJAK EKSPOR, PERTUMBUHAN EKONOMI, DAN PENDAPATAN: KASUS AGROINDUSTRI DI INDONESIA ]]>
<![CDATA[Agusalim, Lestari]]>
<![CDATA[ KINERJA Vol 18, No 2 (2014): Kinerja ]]>
Publisher : <![CDATA[Faculty of Economics Universitas Atma Jaya Yogyakarta ]]>
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DOI: 10.24002/kinerja.v18i2.529
<![CDATA[This research aims to analyze whether export tax policy and the policy of productivity increment of agro industry based upstream and downstream sectors can increase real GDP growth, agro industry output, andhousehold income. The model used in this research is a comparative static Computable General Equilibrium (CGE) model. The data used are from the 2008 Input-Output Table, the 2008 System Accounting Matrix (SAM)Table, and other relevant suporting sources. The three simulations conducted in this research are: (1) export tax policy on agro industry’s upstream sector (SIM1), (2) export tax and productivity increment policies on agro industry’s upstream sector (SIM2), and (3) export tax and productivity increment policies on agro industry’s upstream and downstream sectors (SIM3). The three simulations will be adjusted to the government’s policies to suport agro industries’ downstream. SIM1 has negative effect on real GDP and only increases agro industry output in certain sectors only. SIM2 and SIM3 have positive effect on real GDP and increases agro industryoutput. All simulations increase non-agricultural household incomes, and decrease agricultural household incomes.Keywords: agroindustry, export tax, real GDP, household income]]>
<![CDATA[Projection 0f Labor Needs and Productivity to Reduce Unemployment ]]>
<![CDATA[Agusalim, Lestari]]>
<![CDATA[ JEJAK: Jurnal Ekonomi dan Kebijakan Vol 9, No 2 (2016): September 2016 ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/jejak.v9i2.7631
<![CDATA[The purpose of this study is to estimate the amount of labor needs and productivity in Banten Province from 2016 until 2020. By estimating the needs and productivity of the labor, the government can use this information to create the appropriate policies in order to reduce the open unemployment rate (OUR) in Banten Province. According to BPS data in 2014, OUR of Banten Province was the highest among other provinces in Java and second highest in Indonesia after Maluku. This study used the quantitative method, which are the exponential and geometric methods to project the labor needs. Other than that, this study used the descriptive method to interpret the quantitative data. The result showed that (1) from 2016 until 2020 there will be an increasing condition of employment, (2) from 2010 until 2014, the highest labor productivity were from electricity, gas and water sector. However from 2016 – 2020, the highest labor productivity will be from financing, insurance, real estate, land, and business services. (3) The number of OUR is expected to decrease annually. Meanwhile OUR in 2016 which is 7.39 percent will decrease to 3.94 percent in 2020.]]>
<![CDATA[The Economy of Indonesia: Driven by Physical or Human Capital? ]]>
<![CDATA[Agusalim, Lestari]]>;
<![CDATA[Anggraeni, Lukytawati]]>;
<![CDATA[Pasaribu, Syamsul H.]]>
<![CDATA[ JEJAK: Jurnal Ekonomi dan Kebijakan Vol 15, No 1 (2022): March 2022 ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/jejak.v15i1.34418
<![CDATA[This study aims to analyze whether economic growth in Indonesia is driven by physical or human capital using panel data analysis consisting of all provinces over the last nine years. The estimation results show that the Indonesian economy is more likely to be driven by physical than human capital. The formation of human capital that has a significant positive effect on economic growth is health. However, the education variable represented by the mean years schooling has no significant effect on economic growth when including the control variable in the research model. To improve the quality of education, the state requires the government to provide substantial educational spending. However, the budget has not been used optimally so that the expected achievements of graduates are not achieved. In addition, education spending has not met the criteria for quality spending. In contrast to education spending, an increase in health spending will increase economic growth by improving the quality of health and life expectancy. A healthier society will have a high level of productivity that impacts the regional and national economy.]]>
<![CDATA[Dampak Ekonomi Makro Terhadap Yield Surat Berharga Negara: Studi Empiris Di Indonesia ]]>
<![CDATA[Muhammad Ichsan]]>;
<![CDATA[Lestari Agusalim]]>;
<![CDATA[Zed Abdullah]]>
<![CDATA[ MediaTrend Vol 13, No 2 (2018): Oktober ]]>
Publisher : <![CDATA[Trunojoyo University of Madura ]]>
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DOI: 10.21107/mediatrend.v13i2.3820
<![CDATA[The increasing integration of the world economy and the large share of foreign ownership of the Government Securities (SBN), then changes in economic policies in developed countries affect the pressure on financial markets in emerging market countries. This study analyzes the effect of macroeconomic factors on 10-year tenor Government's yields issued by the Government of Indonesia for the period 2012-2017. Using the Vector Error Correction Model (VECM) results in long-term USD/IDR, Oil Price, Credit Default Swap (CDS) are negatively significant, while Brazilian State Bonds (ON Brazil) have a significant positive effect on SBN yield. Based on the analysis of Impulse Response Function (IRF), the shock of yield on ON Brazil, CDS, JIBOR, USD / IDR and US Treasury (UST) responded positively by the yield SBN in each period, but the shock by Oil Price responded negatively by the yield of SBN. The result of Forecast Error Variance Decomposition (FEVD) analysis shows that UST variable is the biggest variable contribution influence to Indonesia SBN yield, followed by CDS and ON Brazil.]]>
<![CDATA[POTENSI DAN PROYEKSI EKONOMI MAKRO KOTA TANGERANG ]]>
<![CDATA[Lestari Agusalim]]>
<![CDATA[ MediaTrend Vol 11, No 2 (2016): Oktober ]]>
Publisher : <![CDATA[Trunojoyo University of Madura ]]>
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DOI: 10.21107/mediatrend.v11i2.1439
<![CDATA[This study aims to analyse the potency and make a projection of the economy of Tangerang Municipality from 2014 to 2018. By doing so, the local government of Tangerang can use such information to formulate the appropriate policies to foster inclusive economic growth. This study is essential as Tangerang Municipality experienced a slow down in economic growth in 2014 compared to the previous year. This study uses quantitative methods namely Location Quotient (LQ) analysis, to identify leading sectors of the economy, and Least Squares Method, to make a projection of the economy. In addition, descriptive analysis is also used to briefly interpret the quantitative data and formulate policy recommendations. The results show that: (1) the leading sectors of Tangerang Municipality are manufacturing industry sector, transportation and warehousing sector, information and communication sector, and business services sector; (2) the projection analysis showed that in 2018, based on constant price and current price RGDP, Tangerang Municipality will experience positive economic growth. This will also be true for per capita RGDP. Moreover, inflation and open unemployment rate will decline.]]>
<![CDATA[Indonesia Agroindustry Growth Acceleration through Export Tax Policy: CGE Comparative Static Model ]]>
<![CDATA[Lestari Agusalim]]>
<![CDATA[ Jurnal Ekonomi Kuantitatif Terapan 2017: Vol. 10, No. 2, Agustus 2017 (pp. 110 - 252) ]]>
Publisher : <![CDATA[Universitas Udayana ]]>
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DOI: 10.24843/JEKT.2017.v10.i02.p01
<![CDATA[The purpose of this research is to analyze wether export tax policy on primary agriculture commodity can stimulate the growth of agroindustry. The model used in this research is a comparative static CGE model. The data used is the Input-Output Table in 2008, the System Accounting Matrix (SAM) Table in 2008, and other relevant supporting sources. Simulations carried out by applying export taxes on primary agricultural commodities, adjusted by government policy to accelerate the growth of agroindustry. The simulation indicates that it can inhibit the export growth on taxed commodities so that accelerate the long term agroindustrial output growth. Although it has negative effect on the short term. On the other hand, the policy doesn’t pro the economic growth and aggravate the export competitiveness.]]>
<![CDATA[PAJAK EKSPOR, PERTUMBUHAN EKONOMI, DAN PENDAPATAN: KASUS AGROINDUSTRI DI INDONESIA ]]>
<![CDATA[Lestari Agusalim]]>
<![CDATA[ KINERJA Vol. 18 No. 2 (2014): Kinerja ]]>
Publisher : <![CDATA[Faculty of Business and Economics Universitas Atma Jaya Yogyakarta ]]>
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DOI: 10.24002/kinerja.v18i2.529
<![CDATA[This research aims to analyze whether export tax policy and the policy of productivity increment of agro industry based upstream and downstream sectors can increase real GDP growth, agro industry output, andhousehold income. The model used in this research is a comparative static Computable General Equilibrium (CGE) model. The data used are from the 2008 Input-Output Table, the 2008 System Accounting Matrix (SAM)Table, and other relevant suporting sources. The three simulations conducted in this research are: (1) export tax policy on agro industry’s upstream sector (SIM1), (2) export tax and productivity increment policies on agro industry’s upstream sector (SIM2), and (3) export tax and productivity increment policies on agro industry’s upstream and downstream sectors (SIM3). The three simulations will be adjusted to the government’s policies to suport agro industries’ downstream. SIM1 has negative effect on real GDP and only increases agro industry output in certain sectors only. SIM2 and SIM3 have positive effect on real GDP and increases agro industryoutput. All simulations increase non-agricultural household incomes, and decrease agricultural household incomes.Keywords: agroindustry, export tax, real GDP, household income]]>
<![CDATA[PERTUMBUHAN EKONOMI, KETIMPANGAN PEDAPATAN DAN DESENTRALISASI DI INDONESIA ]]>
<![CDATA[Lestari Agusalim]]>
<![CDATA[ KINERJA Vol. 20 No. 1 (2016): Kinerja ]]>
Publisher : <![CDATA[Faculty of Business and Economics Universitas Atma Jaya Yogyakarta ]]>
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DOI: 10.24002/kinerja.v20i1.697
<![CDATA[AbstrakPenelitian ini bertujuan untuk mengkaji pengaruh desentralisasi dalam mendistribusikan pendapatan nasional untuk mengurangi ketimpangan pendapatan di Indonesia. Data yang digunakan adalah data sekunder, yaitu PDB sebagai representasi pendapatan nasional dan data indeks gini sebagai representasi tingkat ketimpangan pendapatan dengan rentang waktu 1978-2015. Metode analisis menggunakan regresi linear dengan pendekatan OLS dimana Indeks gini digunakan sebagai variabel dependen, dan PDB sebagai variabel independen. Selain itu, terdapat variabel independen lainnya, yaitu variabel dummy desentralisasi yang berguna untuk mengetahui pengaruh desentralisasi terhadap ketimpangan pendapatan. Hasil analisis menunjukkan bahwa dari aspek ekonomi, desentralisasi belum mampu mendistribusikan pertumbuhan ekonomi untuk memperkecil ketimpangan pendapatan masyarakat.Kata Kunci: Pertumbuhan Ekonomi, Ketimpangan Pendapatan, DesentralisasiAbstractThis research aims to analyze the effect of decentralization on national income distribution and the reduce of income Inequality in Indonesia. This research used secondary data with gross domestic product (GDP) representing national income and gini index data representing income inequality from 1978 to 2015. An OLS Linear Regression approach was employed where the gini index was the dependent variable, and the independent variables were GDP and the Dummy for decentralization implementation. The result revealed that decentralization had not been able to distribute economic growth to minimize income Inequality.Keywords: Economic Growth, Income Inequality, Decentralization]]>
