The effect of tourism source market structure on international tourism revenues in Turkey

2021 ◽  
pp. 135481662110559
Author(s):  
Seymur Ağazade
Keyword(s):  
Market Structure ◽  
Error Correction ◽  
Market Concentration ◽  
Error Correction Model ◽  
International Tourism ◽  
Integration Framework ◽  
Correction Model ◽  
Long Run ◽  
Research Period

The current study calculates an indicator of tourism source market structure and investigates its impact on international tourism revenues in Turkey. This structure may influence the tourism performance through its consequences on the competitiveness and risk structure of the sector. The calculation of tourism source market structure in this study is based on the normalized Herfindahl–Hirschman Index and number of tourists by nationality. The ARDL co-integration framework is the method used and the estimation covers the period between January 2008 and September 2019. The calculated tourism source market structure indicator showed decreasing trend in the research period indicating that the tourism source market diversified in some extent. The co-integration is supported, and in the long-term model a 1% decrease in the tourism source market concentration found to increase international tourism revenues by 1.9078%. Furthermore, the error correction model indicated that it takes 7.16 months for deviations from the long-run relationship to return to the equilibrium.

scholarly journals Integration Rice Price And Farmers Welfare With Error Correction Model Analysis

2019 ◽  
Vol 7 (9) ◽  
pp. 221-228
Author(s):  
Yogi Makbul
Keyword(s):  
Error Correction ◽  
Error Correction Model ◽  
Policy Intervention ◽  
Correction Model ◽  
Long Run ◽  
Short Run ◽  
Short And Long Term ◽  
Rice Prices ◽  
Support Policy

This research analyzes the short- and long-term influence of rice prices on the welfare of Indonesian farmers using an error correction model. Drawing upon data from Indonesia's Central Bureau of Statistics, it reveals that rice prices exert significant positive short-run effects and no significant long-run influence on farmers' welfare. These findings extend or refine results from earlier studies that lack the time series perspective of our research. They also support policy intervention by the Indonesian government to increase farmers' welfare and assure food supply.  

scholarly journals Analisis Pengaruh Kinerja Keuangan terhadap Profitabilitas Bank Syariah di Indonesia

2017 ◽  
Vol 8 (2) ◽  
pp. 175
Author(s):  
Heri Sudarsono
Keyword(s):  
Error Correction ◽  
Error Correction Model ◽  
Third Party ◽  
Vector Error Correction Model ◽  
Correction Model ◽  
Factors Affecting ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run

<p>This study aimed to analyze the factors affecting the amount of profitability (ROA) provided by Islamic banking in Indonesia. The data which is used is taken from the financial report of the Shari’a Bank during the 2011-2016 periods by using montly financial statement This study uses a Vector Error Correction Model (VECM) to see the long-term effect and response to shock that occur in the studied variables. The result shows that in the long run, the percentage Financing (FIN) and BOPO give a positive siqnifikant effect on the ROA, while third party funds (DPK), percentage profit and loss sharing (TBH), financial to deposit ratio (FDR) has negative and siqnificant effect on the ROA. Sertifikat Bank Indonesia Syariah (SBIS) and non performing finance (NPF) have no significant effect on the ROA. In short run, ROA give a negatif and siqnificant effect on the ROA and FDR give a positif and siqnificant effect, while DPK, FIN, SBIS, TBH, NPF and BOPO have no sinificant effect on the ROA. Therfore, shocks that occur in the ROA, FIN, FDR , NPF dan BOPO positively responded by ROA and will be stable in the long term. While the shocks that occur in the percentage of FDR, SBIS and TBH responded negatively by financing and will be stable in the long term.</p><p>Penelitian ini bertujuan untuk menganalisis faktor-faktor yang memengaruhi profitabilitas (ROA) perbankan syariah di Indonesia. Data yang digunakan data bulanan dari laporan keuangan bank syariah periode 2010-2015. Penelitian ini mengunakan Vector Error Correction Model (VECM) untuk melihat dampak jangka panjang dan respon terhadap dampak shock pada setiap variabel terhadap pembiayaan. Hasil olah data menunjukkan bahwa FIN dan BOPO berhubungan positif terhadap ROA, sedangkan DPK, TBH, FDR berhubungan negatif terhadap dan ROA SBIS dan NPF tidak berpengaruh terhadap tingkat ROA. Dalam jangka pendek, ROA berhubungan negatif, tetapi FDR terhadap ROA berhubungan positif. Sedangkan DPK, FIN, SBIS, TBH, NPF and BOPO tidak berhubungan dengan pembiayaan. Di lain pihak, respon pembiayan terhadap goncangan yang terjadi terjadi pada ROA, FIN, FDR, NPF dan BOPO direspon positif oleh ROA. Sedangkan respon ROA terhadap goncangan yang terjadi pada FDR, SBIS dan TBH adalah negatif.</p>

scholarly journals PENGARUH NON PERFORMING FINANCING, CAPITAL ADEQUACY RATIO, BEBAN OPERASIONAL PENDAPATAN OPERASIONAL DAN NET IMBALAN TERHADAP RETURN ON ASSETS (STUDI PADA BANK MAYBANK SYARIAH PERIODE 2012-2019)

2021 ◽  
Vol 1 (1) ◽  
pp. 78-93
Author(s):  
Lely Awintasari ◽  
Maulida Nurhidayati
Keyword(s):  
Error Correction ◽  
Error Correction Model ◽  
Capital Adequacy ◽  
Short Term ◽  
Return On Assets ◽  
Correction Model ◽  
Long Run ◽  
Capital Adequacy Ratio ◽  
Short And Long Term

The purpose of this study is to analyze the influence of Non Performing Financing (NPF), Capital Adequacy Ratio (CAR), Operating Expenses operating income (BOPO) and Net Rewards (NI) ratio on Return On Assets of Maybank Syariah Bank. A bank's Return on Assets (ROA) is a ratio that shows the bank's success in making a profit. If the ROA obtained by a small bank as a result of the bank can suffer losses and hinder the growth of the bank. This research is a type of quantitative research with Error Correction Model method with a significance rate of 5%, with a total of 32 samples in the form of quarterly data published by Bank Maybank Syariah in 2012-2019. The findings in this study are that NPF negatively affects ROA in the short term but NPF has no effect on ROA in the long run. CAR has no effect on ROA in the short term but CAR has a positive effect on ROA in the long run. BOPO in the short and long term negatively affects ROA. NI in the short and long term has no effect on ROA. Simultaneously NPF, CAR, BOPO and NI both short-term and long-term affect ROA simultaneously. The amount of influence exerted in the short term is 89.20% while in the long term it is 88.57%. In order to increase ROA, Maybank Syariah Bank as much as possible to reduce the percentage of NPF and BOPO and can increase the CAR owned. Tujuan penelitian ini adalah untuk menganalisis pengaruh rasio kuangan Non Performing Financing (NPF), Capital Adequacy Ratio (CAR), Beban Operasional Pendapatan Operasional (BOPO) dan Net Imbalan (NI) terhadap  Return On Assets Bank Maybank Syariah. Return on Assets (ROA) suatu bank merupakan rasio yang menunjukkan keberhasilan bank dalam menghasilkan keuntungan. Apabila ROA yang diperoleh bank kecil akibatnya bank dapat mengalami kerugian serta menghambat pertumbuhan bank tersebut. Penelitian ini berjenis penelitian kuantitatif dengan metode Error Correction Model dengan tingkat signifikansi 5%, dengan jumlah sampel sebanyak 32 yang berupa data triwulan yang dipublikasikan oleh Bank Maybank Syariah tahun 2012-2019. Temuan pada penelitian ini adalah NPF berpengaruh negatif pada ROA dalam jangka pendek tetapi NPF tidak berpengaruh pada ROA dalam jangka panjang. CAR tidak berpengaruh pada ROA pada jangka pendek namun CAR berpengaruh positif terhadap ROA dalam jangka panjang. BOPO dalam jangka pendek maupun jangka panjang berpengaruh negatif pada ROA. NI dalam jangka pendek maupun jangka panjang tidak berpengaruh pada ROA. Secara simultan NPF, CAR, BOPO dan NI baik jangka pendek maupun jangka panjang berpengaruh terhadap ROA secara simultan. Besarnya pengaruh yang diberikan pada jangka pendek adalah 89,20% sedangkan pada jangka panjang sebesar 88,57%. Untuk dapat meningkatkan ROA, Bank Maybank Syariah sebisa mungkin untuk menurunkan persentase NPF dan BOPO serta dapat meningkatkan CAR yang dimiliki.

scholarly journals INTERAKSI ASPEK PERMODALAN, RISIKO PEMBIAYAAN, DAN INDIKATOR MAKROEKONOMI DALAM MEMPENGARUHI PROFITABILITAS BPRS DI INDONESIA PERIODE 2014-2018

2020 ◽  
Vol 5 (3) ◽  
pp. 401
Author(s):  
Feri Irawan
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Error Correction ◽  
Error Correction Model ◽  
Series Data ◽  
Short Term ◽  
Correction Model ◽  
Long Run ◽  
Short And Long Term

<p align="center"><strong><em>ABSTRACT</em></strong></p><p><em>This study aims to analyze the effect of capital aspects (CAR), financing risk (NPF) and macroeconomic variables including economic growth, inflation and the BI Rate on profitability (ROE) in the short and long term. By using time series data for the monthly period from 2013-2018 and the Error-Correction Model (ECM) and cointegration approach, it is found that CAR and NPF do not have a significant effect on ROE in the short and long term. Economic growth, inflation and the BI Rate in the short term do not have a significant effect on ROE, in the long run economic growth, inflation and the BI Rate have a significant effect on ROE. In the short term, economic growth, inflation and the BI Rate disturb the balance of profitability, but in the long run it returns to its equilibrium level. It is necessary to integrate the BPRS policy strategy in managing capital and risk with government policies related to economic growth and inflation.</em></p><p><em> </em></p><p align="center"><strong><em>ABSTRACT</em></strong></p><p><em>Penelitian bertujuan menganalisis pengaruh aspek permodalan (CAR), risiko pembiayaan (NPF) dan variabel makroekonomi yang meliputi pertumbuhan ekonomi, inflasi dam BI Rate  terhadap profitabilitas (ROE) dalam jangka pendek dan jangka panjang. Dengan menggunakan data time series periode bulanan dari tahun 2013-2018 dan pendekatan Error-Correction Model  (ECM) dan kointegrasi, ditemukan bahwa CAR dan NPF tidak berpengaruh secara signifikan terhadap ROE dalam jangka pendek dan jangka panjang. Pertumbuhan ekonomi, inflasi dan BI Rate dalam jangka pendek tidak berpengaruh signifikan terhadap ROE, dalam jangka panjang pertumbuhan ekonomi, inflasi dan BI Rate berpengaruh signfikan terhadap ROE. Pada jangka pendek, pertumbuhan ekonomi, inflasi dan BI Rate menggangu keseimbangan profitabilitas namun dalam jangka panjang kembali pada tingkat keseimbangannya. Diperlukan pengintegrasi strategi kebijakan BPRS dalam mengelola permodalan dan risiko dengan kebijakan pemerintah terkait dengan pertumbuhan ekonomi dan inflasi.</em><em></em></p><p align="right"> </p>

scholarly journals Money Demand in Korea: A Cointegration Analysis, 1973-2014

2016 ◽  
Vol 6 (1) ◽  
pp. 96 ◽  
Author(s):  
Hyungsun Chloe Cho ◽  
Miguel D. Ramirez
Keyword(s):  
Interest Rates ◽  
Error Correction ◽  
Money Demand ◽  
Error Correction Model ◽  
Cointegration Analysis ◽  
Impulse Response Functions ◽  
Stable Model ◽  
Correction Model ◽  
Long Run

<p class="ber">This paper estimates the demand for real money in Korea over the 1973Q3 to 2014Q4 period via unit root and cointegration methods. Utilizing the Johansen cointegration methodology and the Pantula principle, it establishes that a long-term relationship exists among the included variables. The paper also estimates an error correction model (ECM) as well as a vector error correction model (VECM), extending previous analyses by performing forecasts and testing for Granger causality among the variables. It finds that the broader definition of money, M2, serves as a relatively better measure of the money aggregate than M1 when evaluating the stability of the real demand for money. The long-term interest (LR) rate also seems to provide better results than the short-term rate (SR), which is consistent with economic theory given that it refers to a long-run equilibrium relationship. Both the ECM and VECM estimates showed the expected (and significant) signs on the coefficients; LM2 (LM1) and LGDP were positively related and LM2 (LM1) and LR (SR) were negatively related. Granger block causality tests and impulse response functions together seem to suggest that the traditional money demand function which places M as its ‘dependent’ variable, while including income and interest rates as its regressors, was a robust and stable model in the case of Korea.</p>

scholarly journals Faktor-Faktor yang mempengaruhi Penyerapan Tenaga Kerja pada Sektor UMKM di Indonesia: Pendekatan Error Correction Model

2020 ◽  
Vol 12 (1) ◽  
pp. 76-88
Author(s):  
A. Azhari
Keyword(s):  
Error Correction ◽  
Business Management ◽  
Error Correction Model ◽  
Business Climate ◽  
Short Term ◽  
Correction Model ◽  
Independent Variables ◽  
Long Run ◽  
Relationship Of

The research aims to examine the short-term and long-term relationship of the MSMEs sector toward absorption employment in Indonesia.  The method used is error correction model (ECM). The variables consisted of the number of MSMEs units, GDP and investment as independent variables, and MSME labor as the dependent variable. The data is used from 1996 to 2018. The results show that in the short term the number of MSMEs and GDP has a significant effect on employment in Indonesia; whereas only the number of MSMEs units will affect the employment of the MSME sector in Indonesia in the long run,. MSMEs are expected to increase their capacity in terms of business management. For policymakers and other stakeholders should to create programs in effort to increase the number of MSMEs as well as creating a conducive business climate for MSMEs players in Indonesia.

The Methodology of Cointegration

1992 ◽  
Vol 4 ◽  
pp. 237-247 ◽  
Author(s):  
Nathaniel Beck
Keyword(s):  
Error Correction ◽  
Political Attitudes ◽  
Error Correction Model ◽  
Correction Model ◽  
Long Run ◽  
Economic Circumstance ◽  
Economics Department ◽  
Technical Area

It is hardly surprising that I applaud the fine work of both Durr and Ostrom and Smith. I am on record in favor of the utility of the error correction model (e.g., Beck 1985) and it is impossible to obtain a visa to visit the economics department at UCSD without swearing an oath of loyalty to the methodology of cointegration. The two works here are notable for their methodological sophistication, their exposition of a relatively unknown and highly technical area, and, most important, their substantive contributions. Both articles show that political attitudes (approval and policy mood) adjust, in the long run, to changes in objective and subjective economic circumstance. Both articles are good examples of the synergy of methods and theory, since it is the methodology of cointegration that leads to this type of theorizing, and this type of theorizing can most easily be tested in the context of cointegration or error correction.

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