scholarly journals Multidimensional Innovation, Heterogeneity of Property Rights and Enterprise Productivity

2020 ◽  
Vol 214 ◽  
pp. 02045
Author(s):  
Shujun Wang
Keyword(s):  
Panel Data ◽  
Property Rights ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Factor Productivity ◽  
Effect Model ◽  
Almost All ◽  
The Relationship

This paper constructed a fixed effect model of panel data, taking the full factor productivity as a measure of enterprise productivity. This paper empirically studies the effect of multi-dimensional innovation on enterprise productivity, examining the relationship between multi-dimensional innovation level and enterprise productivity of different ownership enterprises. This paper finds that the multidimensional innovation of almost all types of enterprises take a notable promotion role on their productivity on the whole, while the specific dimensions have different effects. In the end, this paper analyzes the causes of this situation, which also proposes the corresponding suggestions.

scholarly journals PENENTUAN KARAKTERISTIK PARIWISATA DAN MODEL JUMLAH WISATAWAN UNTUK KABUPATEN/KOTA DI PROVINSI ACEH

2016 ◽  
Vol 16 (1) ◽  
pp. 43-50
Author(s):  
Nurhasanah Nurhasanah ◽  
Nany Salwa ◽  
Nelva Amelia
Keyword(s):  
Panel Data ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Regional Government ◽  
Tourist Attractions ◽  
Tourist Destinations ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Relationship

Tourism is one of the primary sectors that is expected to increase the regional government income. Therefore there is a need to observe the factors that affect the successfulness of tourism factors and products offered. Tourism products can be tourist destinations, where the characteristics of that particular destination can affect the decisions made by the tourist to return the place again. The characteristics of tourism in Aceh can be analyzed by using biplot analysis. Meanwhile, the effects of tourism characteristics on the number of tourists in Aceh from the year 2008 until 2013 is analyzed using panel data regression analysis that is approached by Fixed Effext Model (FEM). Based on the biplot graph, the cities that are superior in their number of all tourism products are Sabang and Banda Aceh. Cities other than these two cities tend to have a lower number of their tourism products. The biplot graph can explain the relationship between the variables of tourism products by 83.8%. Based on the model of fixed effect panel data, Aceh tourism products that affect the number of tourists in Aceh is the number of accommodations, restaurants, and tourist attractions. Fixed effect model explain correlation between the variables of tourism products to the number of tourists in Aceh by 78.8%.

scholarly journals Environmental regulation, Industrial structure upgrading and Economic growth in Beijing Tianjin Hebei region

2021 ◽  
Vol 235 ◽  
pp. 02021
Author(s):  
Menglu Li
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Panel Data ◽  
Environmental Regulation ◽  
Industrial Structure ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Effect Model ◽  
The Relationship ◽  
Industrial Structure Upgrading

This paper selects the panel data of 13 cities in Beijing Tianjin Hebei region from 2008 to 2016, and uses the fixed effect model to study the relationship between environmental regulation, industrial structure upgrading and economic growth in Beijing Tianjin Hebei region. The results show that: strengthening environmental regulation can promote the upgrading of industrial structure in Beijing Tianjin Hebei region by reducing the emission of pollutants; the upgrading of industrial structure is conducive to promoting the economic development of Beijing Tianjin Hebei region.

scholarly journals Analisis Regresi Panel pada Pemodelan Tingkat Kematian Bayi di Provinsi Sulawesi Selatan

2020 ◽  
Vol 2 (2) ◽  
pp. 115
Author(s):  
Syafruddin Side ◽  
S. Sukarna ◽  
Raihana Nurfitrah
Keyword(s):  
Panel Data ◽  
Infant Mortality ◽  
Regression Model ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Least Square ◽  
Dummy Variable ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression

Penelitian ini membahas mengenai estimasi parameter model regresi data panel pada pemodelan tingkat kematian bayi di Provinsi Sulawesi Selatan dari tahun 2014 sampai dengan 2015. Data yang digunakan adalah data sekunder dari Dinas Kesehatan Provinsi Sulawesi Selatan yang berupa jumlah kematian bayi, berat bayi lahir rendah, persalinan yang ditolong oleh tenaga kesehatan, penduduk miskin, bayi yang diberi ASI ekslusif dan rumah tangga berperilaku bersih sehat di seluruh Kabupaten/Kota di Provinsi Sulawesi Selatan tahun 2014-2016. Analisis data dilakukan dengan menggunakan penghitungan manual dan dengan menggunakan software EViews 9. Pembahasan dimulai dari melakukan estimasi parameter model regresi data panel, menentukan model regresi data panel terbaik, , menguji asumsi model regresi data panel, pengujian signifikansi parameter dan interpretasi model regresi. Dalam penelitian ini diperoleh kesimpulan yaitu estimasi model regresi data panel terbaik dengan pendekatan fixed effect model.Kata kunci:Regresi Data Panel, Kematian Bayi, Fixed Effect Model, Least Square Dummy Variable. This research discusses about parameter estimation of panel data regression model of infant mortality level modelling in South Sulawesi from 2014 to 2015. The data used were secondary data from Dinas Kesehatan Provinsi Sulawesi Selatan in the form of number of infant mortality, low weight of infant, childbirth rescued by health workers, poor population, infants who were given exclusive breast milk and household that behaves well in the whole district/town in South Sulawesi year 2014-2016. Data analysis was performed using the calculation manually and by using EViews 9 software. The discussion started from doing parameter estimation of panel data regression model, determining the best panel data regression model, testing the assumption of panel data regression model, testing the signification of parameter and interpretation of regression model. Conclusion of this research are the estimation of regression model is the best panel data regression model with fixed effects model approach.Keywords:Panel Data Regression, Infant Mortality, Fixed Effect Model, Least Square Dummy Variable.

scholarly journals Determinants of Financial Performance of Nepalese Commercial Banks: Evidence from Panel Data Approach

2020 ◽  
Vol 32 (2) ◽  
pp. 45-59
Author(s):  
Purna Man Shrestha
Keyword(s):  
Panel Data ◽  
Financial Performance ◽  
Commercial Banks ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Lagrangian Multiplier ◽  
Effect Model ◽  
Specific Factors ◽  
The Impact ◽  
Bank Specific Factors

The impact of bank specific factors on the financial performance of Nepalese commercial banks is analyzed in this paper. The financial performance is measured by using return on assets (ROA). Similarly, managerial efficiency (ME), liquidity (LIQ), credit risk (CR), assets quality (AQ) and operational efficiency (OE) is used as proxy of bank specific factors. This study used panel data of 17 commercial banks for the period of 2010/11 to 2017/18. Breusch and Pagan Lagrangian multiplier test showed that Pooled Regression model is not appropriate and Hausman test concluded that Fixed Effect model is appropriate rather than Random Effect model. Using the Fixed Effect model; this study concludes that bank specific factors have significant impact on financial performance of Nepalese commercial banks. Finally, this study reveals that ME, AQ and OE have significant positive impact, and CR has negative impact on the financial performance of Nepalese commercial banks.  

scholarly journals Pengaruh Perkembangan Usaha Mikro, Kecil, dan Menengah Terhadap Pendapatan Nasional Pada Sektor UMKM di Indonesia

2019 ◽  
Vol 8 (2) ◽  
pp. 127-135
Author(s):  
Lies Maria Hamza ◽  
Devi Agustien
Keyword(s):  
Panel Data ◽  
Small And Medium Enterprises ◽  
National Income ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Effect Model ◽  
Medium Enterprises

This study aims to analyze the influence of the development of Micro, Small, and Medium Enterprises on the national income of the UMKM sector in Indonesia. This research used a panel data method with Fixed Effect Model. The data used are secondary in the value of GDP of UMKM, Labours of UMKM, investment of UMKM, and the number of units of UMKM from the 2000-2013 period. The results showed that labors of UMKM and placement of UMKM have a positive and significant effect on the national income of the UMKM sector in Indonesia. While for the number of units of UMKM not affect the national income of the UMKM sector in Indonesia.

Estimasi Fixed Effect Model dari Likuiditas Aset, Financial Leverage dan Likuiditas Saham di Indonesia

2019 ◽  
Vol 4 (3) ◽  
pp. 412
Author(s):  
Irdha Yusra ◽  
Awidi Mulfita
Keyword(s):  
Panel Data ◽  
Random Effect ◽  
Random Effect Model ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Financial Leverage ◽  
Stock Liquidity ◽  
Common Effect ◽  
Effect Model ◽  
Asset Liquidity

<p><em>In investing, investors don’t assess the expected return, but also liquidity in shares. Because the aspect of liquidity is very important for investors to decide which stocks are attractive investments. This study aims to examine the effect of asset liquidity and financial leverage on stock liquidity. The population is all companies which are listed in Indonesia Stock Exchange in 2013-2017 periods. The sampling technique uses a purposive sampling method with predetermined criteria and obtained a sample of 58 companies with 290 observations. The data of the financial statement of the companies has been obtained from the official website of IDX. The analytical method used is regression analysis of panel data with the help of application E-Views 8. Panel data regression can be estimated using three models, namely Common Effect Model (CEM), Fixed Effect Model (FEM), and Random Effect Model (REM). From the results of the estimation model, it is found that FEM is the best model in this study. Furthermore, the results of the study show that asset liquidity has a positive and not significant effect on stock liquidity, while financial leverage has a negative and significant effect on stock liquidity.</em></p><p>Dalam berinvestasi, investor tidak hanya menilai dari return yang diharapkan, namun juga likuiditas pada saham. Karena aspek likuiditas sangat penting bagi investor untuk memutuskan mana saham yang menarik investasi. Penelitian ini bertujuan untuk menguji pengaruh likuiditas aset dan financial leverage terhadap likuiditas saham. Populasi dalam penelitian ini adalah perusahaan yang terdaftar di Bursa Efek Indonesia (BEI) periode 2013-2017. Teknik pengambilan sampel menggunakan metode purposive sampling dengan kriteria yang telah ditentukan dan diperoleh sampel sebanyak 58 perusahaan. Data laporan keuangan diperoleh dari website resmi BEI. Metode analisis yang dipakai adalah analisis regresi data panel dengan bantuan aplikasi E-Views 8. Regresi data panel dapat diestimasi menggunakan tiga model, yaitu Common Effect Model (CEM), Fixed Effect Model (FEM), dan Random Effect Model (REM). Untuk mendapatkan model terbaik digunakan uji lanjut, yaitu Uji Chow dan Uji Hausman. Dari hasil estimasi model diperoleh bahwa FEM sebagai model terbaik dalam penelitian ini. Lebih lanjut, hasil penelitian menemukan bahwa likuiditas aset berpengaruh positif dan tidak signifikan terhadap likuiditas saham, sedangkan financial leverage berpengaruh negatif dan signifikan terhadap likuiditas saham.</p>

scholarly journals MODEL REGRESI DATA PANEL UNTUK MENGETAHUI FAKTOR YANG MEMPENGARUHI TINGKAT KEMISKINAN DI PULAU MADURA

2020 ◽  
Vol 9 (3) ◽  
pp. 355-363
Author(s):  
Artanti Indrasetianingsih ◽  
Tutik Khalimatul Wasik
Keyword(s):  
Panel Data ◽  
Random Effect ◽  
Random Effect Model ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Series Data ◽  
Poverty Level ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression

Poverty arises when a person or group of people is unable to meet the level of economic prosperity which is considered a minimum requirement of a certain standard of living or poverty is understood as a state of lack of money and goods to ensure survival. Panel data regression is the development of regression analysis which is a combination of time series data and cross section data. Panel data regression is usually used to make observations of data that is examined continuously for several periods. The purpose of this study is to determine the factors that influence the level of poverty in Madura Island in the period 2008 - 2017. In this study the variables used in this study are life expectancy (X1), average length of school (X2), level open unemployment (X3), and labor force participation (X4) with the Comman Effect Model (CEM) approach, Fixed Effect Model and Random Effect Model (REM). To choose the best model from the three is the chow test, the hausman test and the breusch-pagan test. In this study, the best model chosen was the Fixed Effect Model. Keywords: CEM, Fixed Effect Model, Data Panel Regression, REM, Poverty level.

scholarly journals An Assessment on the Influence of Capital Structure on Performance of the Listed Firms in Tanzania

2021 ◽  
Vol 4 (1) ◽  
pp. 1-13
Author(s):  
Martin Ayo ◽  
Seif Muba
Keyword(s):  
Capital Structure ◽  
Significant Influence ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Control Effect ◽  
Listed Firms ◽  
Total Debt ◽  
Effect Model ◽  
Equity Ratio ◽  
The Relationship

The research mostly assessed and established the influence of capital structure on the performance of firms listed under the Dar Es Salaam stock exchange (DSE). Specifically, the study aimed to assess the influence of total debt to equity ratio (TDE), total debt to assets ratio (TDA), total equity ratio (TEQ) on the performance of listed firms in Tanzania. Also, the study aimed to determine the control effect of firm size (FS) on the relationship between firm performance and capital structure. The quantitative panel data approach was used. The fixed-effect model for ROA was done to see the influence of TDE on ROA. Results indicated that only TEQ has a significant positive influence on the ROA while TDE and TDA have no significant influence on the ROA. Also, the fixed-effect model for ROCE was carried out to see the relationship between TDE and ROCE. Results showed that TDA and TEQ are insignificant to the ROCE, while TDE is significant to the ROCE. Findings also showed that the presence of the FS on the model of capital structure and ROA, results in TDA, and TEQ having a significant influence on ROA, while TDE becomes insignificant to ROA. Moreover, results indicated that the presence of the FS on the model of capital structure and ROCE results in the only TDE to have a significant influence on ROCE, while TDA and TEQ became insignificant to ROA. The study concluded that TDE has no significant influence on the ROA but TDE has a significant influence on ROCE. Also, the study concluded that TDA has no significant influence on both the ROA and ROCE while TEQ influences ROA positively, and has no significant influence on ROCE. Moreover, the study concluded that the presence of the FS on the model of capital structure and ROA, results in TDA, and TEQ having a significant influence on ROA, while TDE becomes insignificant to ROA. Furthermore, FS resulted in TDE having a significant influence on ROCE, while TDA and TEQ become insignificant to ROCE. The study recommends that companies very carefully must decide on a reasonable capital structure to maintain the performance of the company.

scholarly journals PENGARUH PROFITABILITAS, LEVERAGE, DAN LIKUIDITAS TERHADAP KEBIJAKAN DIVIDEN PADA PERUSAHAAN MANUFAKTUR YANG TERDAFTAR DI BURSA EFEK INDONESIA

JURNAL PUNDI ◽  
2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Kasnita Bawamenewi ◽  
Afriyeni Afriyeni
Keyword(s):  
Panel Data ◽  
Stock Exchange ◽  
Manufacturing Sector ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Current Ratio ◽  
Dividend Payout ◽  
Return On Equity ◽  
Effect Model ◽  
Equity Ratio

The purpose of this research is to test the influence of Profitability variable by using Return On Equity (ROE), Leverage by using Debt to Equity Ratio (DER), and Liquidity variabel by using Current Ratio (CR), to the Dividend Payout Ratio (DPR) on manufacturing sector company are listed in Indonesian Stock Exchange in 2013-2017 periods. In this research the data used was obtained from the official IDX website. This research was included in the explanatory research using quantitative approach. Data analysis method used is regression analysis in panel data with the help of application E-Views8. Panel data regression estimatedr using Fixed Effect Model (FEM).The result showed that the profitability has a negative and significant effect on Dividend Payout Ratio, Leverage has a negative and hasn’t significant effect on Dividend Payout Ratio, while Liquidity has a positive and hasn’t significant effect on Dividend Payout Ratio.Keywords: Dividend Payout Ratio,Profitability, Leverage, LiquidityTujuan dari penelitian ini adalah untuk menguji pengaruh variabel Profitabilitas dengan menggunakan Return On Equity (ROE), Leverage dengan menggunakan Debt to Equity Ratio (DER), dan variabel likuiditas dengan menggunakan Current Ratio (CR), terhadap Kebijakan Deviden ( DPR) pada perusahaan sektor manufaktur yang terdaftar di Bursa Efek Indonesia pada periode 2013-2017. Dalam penelitian ini data yang digunakan diperoleh dari situs web resmi BEI. Penelitian ini termasuk dalam penelitian penjelasan dengan menggunakan pendekatan kuantitatif. Metode analisis data yang digunakan adalah analisis regresi data panel dengan bantuan aplikasi E-Views . Data panel regresi menggunakan Fixed Effect Model (FEM). Hasil penelitian menunjukkan bahwa profitabilitas berpengaruh negatif dan signifikan terhadap Kebijakan Deviden, leverage berpengaruh negatif dan tidak signifikan terhadap Kebijakan Deviden, sedangkan likuiditas berpengaruh positif dan tidak signifikan terhadap Kebijakan Deviden.Kata Kunci : Kebijakan Dividen, Profitabilitas, Leverage, Likuiditas 

Sign in / Sign up

Export Citation Format

Share Document