Vera Lisna
Badan Pusat Statistik, Jl. Dr. Sutomo 6-8 Jakarta 10710

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Pengaruh Dwelling Time pada Penerimaan Pajak Impor di Indonesia Hilal, Adam Syaiful; Lisna, Vera
Jurnal Ekonomi dan Pembangunan Indonesia Vol. 19, No. 2
Publisher : UI Scholars Hub

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Abstract

High dwelling time in Indonesia has been in the spotlight of President since his visit to the Port of Tanjung Priok in 2014. This could bring impact on international trade, one of which is indicated by import tax revenue. The value of import in Indonesia which continues to fall has brought impact to lower country revenue from import tax. The objective of this study is to analyze the effect of dwelling time on import tax revenue in Indonesia. The results from recursive equation system of Error Correction Model (ECM) by using data during January 2014 to November 2016 show that lower dwelling time will increase import tax revenue in Indonesia.
Analisis EMP Indonesia dan Empat Negara ASEAN pada Masa Krisis Sulaeman, Clara Septyana Rahma; Lisna, Vera
Jurnal Ekonomi dan Pembangunan Indonesia Vol. 16, No. 2
Publisher : UI Scholars Hub

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Abstract

Contagion effect or domino effect which causes spreading economic crisis from one country to another also occurred in Indonesia in 1997 and 2008. The e ect was identified by Exchange Market Pressure (EMP) index which measures economic pressure faced by a country on the exchange market through foreign exchange rate changes and foreign exchange reserves. The results of EMP analysis in Indonesia and four ASEAN countries using VAR method show that EMP contribution of four ASEAN countries in 2008 was larger than that of 1997. Moreover, the 1997 crisis in Indonesia spread from Thailand, while the 2008 crisis spread from Singapore.
Dampak Kapasitas Fiskal terhadap Penurunan Kemiskinan: Suatu Analisis Simulasi Kebijakan Lisna, Vera; Sinaga, Bonar M.; Firdaus, Muhammad; Sutomo, Slamet
Jurnal Ekonomi dan Pembangunan Indonesia Vol. 14, No. 1
Publisher : UI Scholars Hub

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This study examines the impacts of fiscal capacity on the acceleration of poverty alleviation through a dynamic simultaneous equations model using empirical data of 23 provinces and conducting historical simulation. The increasing of fiscal capacity from local taxes and tax-revenue sharing have significant impact on poverty reduction, particularly in agricultural household, which has the largest share in number of poor in Indonesia indicated by larger decline of agricultural headcount index than industrial and trade headcount index. However, the increasing of General Allocator Fund/Dana Alokasi Umum (DAU) has negative impact on agricultural headcount index. The policy implication is to increase revenue from taxation by local governments as the impact is more effective in accelerating poverty reduction.
DAMPAK KEBIJAKAN PEMERINTAH TERHADAP PEMBANGUNAN EKONOMI D. I. YOGYAKARTA 2001-2017: Simulasi dengan Analisis Sistem Persamaan Simultan Larasati, Anissa Dika; Lisna, Vera
Indonesian Journal of Statistics and Applications Vol 4 No 4 (2020)
Publisher : Statistics and Data Science Program Study, SSMI, IPB University, in collaboration with the Forum Pendidikan Tinggi Statistika Indonesia (FORSTAT) and the Ikatan Statistisi Indonesia (ISI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/ijsa.v4i4.654

Abstract

Economic development includes increasing economic growth and alleviating poverty. D.I Yogyakarta is a province with the lowest economic growth and per capita income compared to other provinces in Java. Besides, it has the highest poverty rate. With this condition, it is feared that economic development and economic contribution in D.I Yogyakarta which are relatively low are difficult to increase. This study aims to analyze the simultaneous relationship between indicators of economic development in the province of D.I Yogyakarta, explores the variables that influence it, and perform policy simulations to improve economic development. The indicators used to describe economic growth in this study are Regional Gross Domestic Product (regional GDP), household consumption, and community savings in banks. While the indicators that are used to reflect the poverty level are the percentage of poor people. The estimation method used is simultaneous Two-Stage Least Squares (2SLS) equation system which consisted of three structural equation and one identity equation using the historical data from the year 2001-2017. The results of the simulation show a 6% increase in government expenditure can improve economic growth to 5.41% and reduce the percentage of poor people by 0.41% points.