scholarly journals Determinants Of International Tourism In Indonesia

JEJAK ◽  
2019 ◽  
Vol 12 (2) ◽  
pp. 298-317
Author(s):  
Faiza Husnayeni Nahar ◽  
Mufti Alam Adha ◽  
Muhammad Azizurrohman ◽  
Izzani Ulfi ◽  
Husna Karimah
Keyword(s):  
Exchange Rate ◽  
Random Effect ◽  
Random Effect Model ◽  
Destination Country ◽  
Growing Up ◽  
Effect Model ◽  
International Tourist ◽  
Negative Effect ◽  
Strong Position ◽  
The Government

Tourism is considered as big industry which growing up faster compare to other industry in this recent year. It is reported that Indonesia received approximately 11.5 million of international tourists in 2016. Because the tourism shows significant trend in Indonesia and getting strong position in the third rank as the foreign revenue for this country, the government willing to boost up the factors that might contribute more on attracting international tourist. This study tried to analyse the determinant factors of international tourist in Indonesia by using Random Effect Model. The variables are GDPs origin and destination country, exchange rate of origin country, free visa impact and length of distance in Indonesia during the period of 2006 to 2016. The study found that all variables are statistically significant. GDPs origin and destination country and country with visa-free entry have positive effect to the number of international tourist arrival while the rest which is exchange rate of origin country and length of distance have negative effect to the international tourists. Hence, the government needs to promote aggressively to the international tourist by conducting important events, increasing the number of countries that receive Indonesia free visa and maintain the GDP in both origin and destination country.

Percepatan Pembangunan Infrastruktur dan Penambahan Utang Luar Negeri Pemerintah: Potensi Manfaat vs Potensi Risiko

2017 ◽  
Vol 2 (4) ◽  
pp. 1-14
Author(s):  
Hangger Prihandoko
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Random Effect ◽  
Random Effect Model ◽  
Infrastructure Development ◽  
Significant Negative Effect ◽  
Effect Model ◽  
Negative Effect ◽  
The Government ◽  
Basic Infrastructure

This study analyzes the effect of basic infrastructure development in the form of roads, electricity, education and health by the government on economic growth at the provincial level based on HDI groups namely provincial groups with high HDI and provincial groups with medium HDI. This study uses panel data composed of data across 32 provinces within the period of 2007-2014. Estimation is done by random effect model panel data regression analysis technique. The findings of this study are in high HDI provinces all forms of infrastructure are insignificant except educational infrastructure which has a significant negative effect, whereas in medium HDI provinces only health infrastructure that is not significant and only education infrastructure has a significant negative effect, other types of infrastructure such as roads, electricity and water have a significant positive effect. Based on these findings the prioritization of infrastructure development in relatively lagging regions is not only supporting the equitable distribution of economic growth but also the most efficient form of budget allocation for infrastructure development.   Abstrak Penelitian ini menganalisis pengaruh pembangunan infrastruktur dasar berupa jalan, listrik air, pendidikan dan kesehatan oleh pemerintah terhadap pertumbuhan ekonomi di tingkat propinsi berdasar kelompok IPM Tinggi dan IPM Sedang. Jenis data yang digunakan adalah data panel yang tersusun dari data lintas ruang 32 propinsi dalam periode tahun 2007-2014. Estimasi dilakukan dengan teknik analisis regresi data panel random effect model. Temuan hasil penelitian ini adalah di provinsi IPM tinggi seluruh infrastruktur tidak berpengaruh signifikan kecuali infrastruktur pendidikan yang signifikan dengan arah negatif, sementara di provinsi IPM sedang hanya infrastruktur kesehatan yang tidak signifikan dan hanya infrastruktur pendidikan yang signifikan negatif, jenis infrastruktur lain berupa jalan, listrik dan air memiliki pengaruh signifikan positif. Berdasar temuan tersebut maka pemberian prioritas pembangunan infrastruktur pada daerah yang relatif tertinggal selain mendukung pemerataan pertumbuhan ekonomi juga merupakan bentuk alokasi anggaran pembangunan infrastruktur yang paling efisien.

scholarly journals PENGARUH NILAI TUKAR, INFLASI, VOLUME PERDAGANGAN, DAN DIVIDEND PAYOUT RATIO TERHADAP SHARE PRICE VOLATILITY PADA PERUSAHAAN YANG TERDAFTAR DALAM INDEKS KOMPAS100 TAHUN 2014 – 2018

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Mastura Mastura
Keyword(s):  
Exchange Rate ◽  
Data Analysis ◽  
Trading Volume ◽  
Random Effect ◽  
Random Effect Model ◽  
Price Volatility ◽  
Sampling Technique ◽  
Share Price ◽  
Dividend Payout ◽  
Effect Model

This research aims to analyze partial and simultaneous influence between exchange rate, inflation, trading volume, and dividend payout ratio to share price volatility in Kompas100 index. This research uses 23 companies listed in Kompas100 index as a research sample during the period of 2014 to 2018, where sampling uses purposive sampling technique. In order to analyze, and test each research hypotheses, the technique used is panel data regression using the random effect model. The results of data analysis show that partially, the excgange rate, inflation, and trading volume have a positive and significant effect to share price volatility while the dividend payout ratio has a negative and significant effect to share price volatility. the results of data analysis show simultaneously, the exchange rate, inflation, trading volume, and dividend payout ratio have significant influence to share price volatility. The amount of testing the coefficient of determinastion (adjusted R square) is 0.416174, indicating that dependen variable which is share price volatility can be explained by independent variables those are exchange rate, inflation, trading volume, and dividend payout ratio was 41.6%, while 58.4% can be explained by the other variables outside the models     

DAMPAK KEBERADAAN PERWAKILAN PERDAGANGAN LUAR NEGERI TERHADAP KINERJA EKSPOR NON MIGAS INDONESIA

2016 ◽  
Vol 10 (2) ◽  
pp. 203-224 ◽  
Author(s):  
Ayu Sinta Saputri ◽  
Septika Tri Ardiyanti
Keyword(s):  
Oil And Gas ◽  
Export Performance ◽  
Random Effect ◽  
Random Effect Model ◽  
Demand Functions ◽  
Effect Model ◽  
Oil Exports ◽  
The Government ◽  
Trade Promotion ◽  
The Impact

Kajian ini bertujuan untuk menganalisis dampak pembentukan Atase Perdagangan (Atdag) dan Indonesian Trade Promotion Center (ITPC) terhadap kinerja ekspor non migas Indonesia. Metode yang digunakan adalah random effect model fungsi permintaan dengan menggunakan nilai ekspor non migas Indonesia dan pangsa ekspor non migas Indonesia di negara mitra dagang sebagai indikator-indikator yang menggambarkan kinerja ekspor Indonesia. Kajian ini menunjukkan bahwa keberadaan Atdag dan ITPC memberikan pengaruh positif dan signifikan terhadap peningkatan ekspor Indonesia. Nilai ekspor dan pangsa ekspor non migas Indonesia di negara mitra dagang dimana terdapat Atdag dan ITPC lebih tinggi jika dibandingkan dengan negara mitra yang belum terdapat Atdag dan ITPC. Di samping itu, besaran anggaran yang diterima oleh para perwakilan perdagangan juga memiliki pengaruh positif dan signifikan terhadap kinerja ekspor Indonesia. Dengan demikian, penguatan dan pengembangan Atdag dan ITPC penting untuk dilakukan dalam rangka peningkatan ekspor Indonesia baik melalui peningkatan besaran anggaran dan atau penambahan jumlah perwakilan perdagangan Indonesia di luar negeri. This study analyzes the impact of establishing The Indonesia’s Trade Attaché (Atdag) and The Indonesia's Trade Promotion Center (ITPC) on Indonesia’s non-oil exports performance. The method used in this study is random effect model of demand functions using  non-oil and gas export value, and  non-oil and gas export share of Indonesia in trading partner countries as the indicators of Indonesia’s export performance. The results indicate that the presence of Atdag and ITPC  gave a positive and significant effect to improve exports. The value of Indonesia’s non-oil and gas exports, and the share of Indonesia’s non-oil exports with some partner countries of Atdag and ITPC are higher compared to countries without Atdag and ITPC. Moreover, the amount of budget received by the trade representative also has a positive and significant effect on the export performance.Therefore, the government should strengthen and develop Atdag and ITPC in order to boost export by increasing the budget and the number of trade representatives abroad.

scholarly journals Using the Multilevel Random Effect Model to Analyze the Behavior of Carpool Users in Different Cities

2021 ◽  
Vol 13 (2) ◽  
pp. 937
Author(s):  
Tzu-Ying Chen ◽  
Rong-Chang Jou ◽  
Yi-Chang Chiu
Keyword(s):  
Traffic Congestion ◽  
Random Effect ◽  
El Paso ◽  
Random Effect Model ◽  
Living Situation ◽  
Individual Level ◽  
Effect Model ◽  
Commercial Company ◽  
The Government ◽  
The Individual

The purpose of this study was to offer a comprehensive econometrical framework based on a multilevel random effect logistic model that could highlight important contributors to carpool users among different cities with various attributes. The data was collected from the three cities of Tucson, AZ, USA; El Paso, TX, USA; and Austin, TX, USA and was based on register-based travel trip data from the Metropia platform and American Community Survey information from 2016 to 2017. The empirical results indicated there were statistically significant differences among carpool users in different cities due to the transportation mode, number of vehicles available, total number of males driving alone, and number of single-parent households. The individual level result showed that incentives had a significant effect on the promotion of carpool passenger and driver behavior. In addition, the time of finding the parking space at work, living situation of the household, flexibility to change departure times, gender, and age could effectively increase the possibility of carpool usage. The results of this study give a better understanding of the events in the initial factors of carpooling behavior and can be used by the government or commercial company to design an effective solution for traffic congestion.

scholarly journals DAMPAK PENERAPAN INDONESIA - JAPAN ECONOMIC PARTNERSHIP AGREEMENT (IJEPA) TERHADAP NILAI EKSPOR IMPOR INDONESIA

2020 ◽  
Vol 2 (3) ◽  
pp. 19
Author(s):  
Jesica Sitepu
Keyword(s):  
Exchange Rate ◽  
Real Exchange Rate ◽  
Bilateral Trade ◽  
Random Effect ◽  
Random Effect Model ◽  
Estimation Model ◽  
The Real ◽  
Before And After ◽  
The Government ◽  
The Impact

This study aims to analyze the impact of the IJEPA agreement on bilateral trade (export - import) of Indonesia with Japan using 20 main commodities of trade according to the 2 digit HS code in the period 2001-2018 with the Random Effect Model (REM) estimation model. This study also analyzes whether GDP, population, and the real exchange rate of Indonesia - Japan has an influence on the development of Indonesia's export and import values.          The analysis showed that both before and after the enactment of IJEPA cooperation did not have a significant effect on the value of exports from Indonesia - Japan. The variable GDP, population, and the real exchange rate have a significant effect on exports and imports. Therefore, the government of Indonesia and Japan can review the IJEPA agreement in order to increase the benefits of IJEPA.

scholarly journals THE EFFECT OF SPIN-OFF POLICY AND MACROECONOMIC FUNDAMENTAL FACTORS ON THIRD PARTY FUNDS AT SHARIA GENERAL BANKS

2021 ◽  
Vol 5 (1) ◽  
pp. 08-22
Author(s):  
Fatima Tuzzahara Alkaf ◽  
Nana Nawasiah
Keyword(s):  
Panel Data ◽  
Random Effect ◽  
Random Effect Model ◽  
Third Party ◽  
Financial Report ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
Report Data ◽  
The Government

In enhancing the development of Islamic banking, the government issued Law No. 21 of 2008 concerning spin-off. With this policy, it is expected that Islamic Commercial Banks will develop. This study aims to implement panel data regression to examine in depth the influence of spin-off policy and macroeconomic fundamental factors on third party funds of Sharia General Banks. Sampling by purposive sampling, six (6) Sharia General Banks that have conducted spin-offs and financial report data from 2014-2018. The Chow Test and the Hausman Test show that the panel data regression model that matches the variable data used in 2014-2018 is the Random Effect Model (REM). Empirical results show that during the 2014-2018 period, the spin-off policy and macroeconomic fundamental factors had a significant effect on the bank's third-party funds simultaneously. Partially, only the spin-off policy has a significant effect on third party funds.

scholarly journals Determining Firm Value in the Indonesian Banking Sub Sector

2021 ◽  
Vol 4 (2) ◽  
Author(s):  
Henny Medyawati ◽  
◽  
Muhamad Yunanto ◽  
Keyword(s):  
Exchange Rate ◽  
Interest Rate ◽  
Financial Performance ◽  
Interest Rates ◽  
Firm Value ◽  
Dividend Policy ◽  
Random Effect ◽  
Random Effect Model ◽  
Company Value ◽  
Effect Model

This study aims to find the most appropriate model for analysing the effect of financial performance, dividend policy, interest rates and the rupiah exchange rate on firm value. The research sample includes the banking sub-sector companies listed on the IDX in 2013-2019. The research method used is purposive sampling to analyse the panel data. The variables used in this study are the company value as measured by Price to Book Value (PBV), financial performance is measured by Return on Assets (ROA), dividend policy is measured by Dividend Pay-out Ratio (DPR), interest rate is measured by BI interest rate, and the rupiah exchange rate is measured by the middle rate. The results show that ROA and exchange rate affect firm value. The appropriate model used in this study is the random effect model.

scholarly journals Effect of Trading Volume, Market Capitalization, Firm Size in explaining Return on Vultures

2021 ◽  
Vol 2 (2) ◽  
pp. 50-64
Author(s):  
Dedi Hariyanto
Keyword(s):  
Firm Size ◽  
Trading Volume ◽  
Panel Data Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Standard Form ◽  
Market Capitalization ◽  
Significant Negative Effect ◽  
Effect Model ◽  
Negative Effect

Purpose: The study aims to examine the effect of trading volume, market capitalization, and firm size in explaining return on vultures in selected companies in Indonesia. Methodology/Approach/Design: The population is 131 JII forming companies in IDX between December 2009 – May 2010 to December 2019 – May 2020. All data is transformed into standard form because the model used is path analysis. The corresponding regression of equation 1 is the Random Effect model and the corresponding Regression equation 2 is the Fixed Effect model. This study uses panel data analysis; the Chow test and Hausman test are also used. Data is processed using statistics EViews software.  Results: The results of the equalization test 1, trading volume has a significant negative effect on the return of shares. The results also show that the market capitalization has a significant negative effect on the return of shares, and consequently the size of the company has a significant negative effect on the return of shares. Hasil testing for equalization 2, trading volume has a significant effect on vultures, while market capitalization has no significant effect on vultures. The size of the company has a significant effect on vultures, and the return of the company has a significant effect on vultures. Practical Implications: This research is limited to the variety of indices and varieties of securities that become populations and samples. Future research can be developed by focusing on indices and securities as well as the development of other variables in the behavioral finance section in addition to herding. Originality/Value: This study differs greatly from previous studies in emerging markets in contributing to literature from a new direction in exploring investor returns and herding.

scholarly journals The effect of straw based housing on selected quality attributes of pork – a meta-analysis.

2021 ◽  
Vol 17 (2) ◽  
pp. 1-12
Author(s):  
Andrzej Zybert
Keyword(s):  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Quality Attributes ◽  
Drip Loss ◽  
Post Mortem ◽  
Effect Model ◽  
Initial Ph ◽  
Negative Effect ◽  
Space Requirements

<b>The aim of the research was to estimate the effect of straw-based housing on selected quality attributes of pork, using a meta-analytical approach. Meta-analysis is statistical procedure that combines the results of individual, independent studies into one common treatment effect, called the effect size. Data were extracted from 17 independent studies (20 experiments) and analysed using a random-effect model to estimate the effect of straw-based housing on the pH (initial pH at 45 min post mortem and ultimate pH), drip loss, colour (L*, a*, b*) and Warner-Bratzler shear force of pork loins. The meta-analysis of the available results showed that pigs from straw-based systems may produce pork with a faster early post-mortem pH decline (pH45), higher drip loss, and greater lightness than those reared under barren conditions with concrete (slatted) floors. A subgroup analysis showed that greater space allowance for straw-housed pigs had a greater negative effect on initial pH (pH45), drip loss, and lightness than straw housing with normal/minimal floor space requirements.

scholarly journals PENGARUH LEVERAGE, PROFITABILITAS, DAN KONDISI EKONOMI TERHADAP IMBAL HASIL SUKUK IJARAH KORPORASI PERIODE 2015-2018

2020 ◽  
Vol 7 (2) ◽  
pp. 389
Author(s):  
Meidina Ana Ogie ◽  
Nisful Laila
Keyword(s):  
Interest Rates ◽  
Financial Services ◽  
Random Effect ◽  
Random Effect Model ◽  
Return On Assets ◽  
Effect Model ◽  
Panel Data Regression ◽  
Negative Effect ◽  
Equity Ratio ◽  
The Impact

This research intends to analyze the impact of the variables of Debt to Equity Ratio (DER), Return on Asset (ROA), inflation and interest rates on returns of corporate ijarah Sukuk during the period of 2015-2018. The data gathered for this research is from the Financial Statements derived from the official website of each Company, Statistical Bureau Agency (BPS), Indonesia Price Bond Agency (IPBA) and Bond Book published by Financial Services Authority (OJK). The method of analysis used is the panel data regression analysis. The sample collected purposive sampling method is 18 Sukuk which are from 4 Sukuk publishing companies. The best model to process the data is the Random Effect Model. The result of the study shows that all variables affect the Sukuk yields simultaneously; however, the DER variable has a significant positive effect on Sukuk yields partially. Meanwhile, the ROA variable and inflation are not significant negative and interest rates have a negative effect significant to Sukuk yields. Keywords: Debt to Equity Ratio (DER), Return on Assets (ROA), Inflation, Interest Rates, Sukuk Returns

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