scholarly journals The Influence of Fiscal Decentralization, Economic Growth, and Economic Openness on the Inter-Provincial Development Disparity in Java During 2001-2017

2020 ◽  
Vol 15 (2) ◽  
Author(s):  
Wahyu Dwi Artaningtyas ◽  
Asih Sri Winarti
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Time Series Data ◽  
Fiscal Decentralization ◽  
Random Effect ◽  
Random Effect Model ◽  
Series Data ◽  
Economic Activities ◽  
Economic Openness ◽  
Cross Sectional

In general, economic growth is defined as a process which leads to the increase of per capita income of a population in a long term. Inter-region disparity in terms of economic development is a common phenomenon in a region’s economic activities. This study aims to determine the effect of economic growth, economic openness, and the degree of fiscal decentralization on development disparities between provinces in Java within 2001-2017. Panel data regression was used together with the Random Effect Model as a data analysis technique. The data used was panel data consisting of time series data from 2001-2017 and cross-sectional data covering Special Capital Region of Jakarta, West Java, East Java, Special Region of Yogyakarta, Central Java, and Banten. The results show that economic growth and fiscal decentralization significantly influence development disparity between provinces in Java while economic openness does not affect the development inequality.

scholarly journals Pendekatan Regresi Data Panel untuk Pemodelan Jumlah Angkatan Kerja dan Penanaman Modal Luar Negeri terhadap PDRB Provinsi di Indonesia

2019 ◽  
Vol 1 (2) ◽  
pp. 100
Author(s):  
Muhammad Syukron ◽  
Hafidz Muhammad Fahri
Keyword(s):  
Panel Data ◽  
Labor Force ◽  
Foreign Investment ◽  
Time Series Data ◽  
Series Data ◽  
Economic Activities ◽  
Cross Sectional ◽  
Independent Variables ◽  
Domestic Capital ◽  
Panel Data Regression

<p>Indonesia is a country with great economic potency. Indonesia has a vast area and abundant natural products, but until now Indonesia is still a developing country. The Indonesian economy is defeated by other countries such as Japan, China and South Korea even by the neighboring country, Singapore. Increasing the national economy can be started from improving the regional economy which can be measured by gross regional domestic product (GRDP). Indonesia will experience a demographic bonus in 2045 so that the population of productive age is expected to contribute a lot to economic growth. The large number of productive age population must be balanced with the availability of jobs so that this momentum can be fully utilized. Foreign investment can be a solution when domestic capital is insufficient in financing economic activities. In addressing this phenomenon, a statistical analysis of panel data regression was conducted to see the relationship between independent variables, namely the number of labor force and realization of foreign investment, and a dependent variable, namely GRDP at constant prices in 2010 for every province in Indonesia. We use time series data in 2015-2017 and cross-sectional data of 34 provinces in Indonesia taken from BPS official website. The estimation result shows that both independent variables partially and fully have a significant effect on the GRDP with an adjusted <em>R<sup>2</sup></em> of 99.86%.</p><p> </p><p><strong>Keywords</strong><strong>: </strong>Labor force; regression; panel data; foreign capital; GRDP.</p>

scholarly journals Analysis of factors affecting capital expenditures and their implications on government financial performance provinces in Indonesia 2011-2019

2021 ◽  
Vol 10 (5) ◽  
pp. 95-106
Author(s):  
Mega Riandini Arsallya ◽  
Azwardi Azwardi ◽  
Yusnaini Yusnaini
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Financial Performance ◽  
Capital Expenditure ◽  
Random Effect ◽  
Random Effect Model ◽  
Provincial Government ◽  
Series Data ◽  
Capital Expenditures ◽  
The Impact

The purpose of this research aims to determine the impact of Local Own Revenue, Balanced Funds, Economic Growth, and Excess of Budget Calculation (SiLPA) on Capital Expenditure as long as the implications to provincial government financial performance in Indonesia from 2011 to 2019. The province government financial reports from across Indonesia as population and in 2011 to 2019 as samples. This type of research is known as causal associative research, with quantitative descriptive analysis techniques, and Panel Data Regression Analysis with The Random Effect Model as the selected model, with secondary data including time-series data and panel data in 2011 to 2019 from The Supreme Audit Agency of the Republic of Indonesia, the Central Bureau of Statistics, and other official publications. According to the research results, R2 was 79.08%. Partially Local Own Revenue had a positive value and did not affect Capital Expenditure. Balanced Funds, Economic Growth, and Excess of Budget Calculation had positive values and an effect on Capital Expenditures. Simultaneously, Local Own Revenue, Balanced Funds, Economic Growth, and Excess of Budget Calculation affect Capital Expenditure. Then Local Own Revenue, Balanced Funds, Economic Growth, Excess of Budget Calculation and Capital Expenditures simultaneously did not affect Financial Performance.

scholarly journals The Effect of Ownership Structure on Financial Performance in Lippo Group Company

2021 ◽  
Vol 1 (3) ◽  
pp. 245-249
Author(s):  
Ristati ◽  
Raihan Cahaya ◽  
Nurlela ◽  
Ghazali Syamni ◽  
Zulham Ibrahim
Keyword(s):  
Panel Data ◽  
Financial Performance ◽  
Ownership Structure ◽  
Time Series Data ◽  
Random Effect ◽  
Random Effect Model ◽  
Series Data ◽  
Analysis Method ◽  
Estimation Model ◽  
Section Data

This study examined the effect of Ownership Structure on Financial Performance at Lippo Group companies in Indonesia from 2015 to 2019. The number of samples in this study was 14 companies and 60 observations. The data were accessed on www.idx.go.id. The data used in this study was panel data or a combination of cross-section data and time-series data. The data analysis method in this research was the Panel Data Regression analysis method with panel estimation model Random Effect Model. The results showed that Managerial ownership and institutional ownership had a negative and significant effect on financial performance.

scholarly journals The Impact of Renewable Energy Sources on Financial Development, and Economic Growth: The Empirical Evidence from an Emerging Economy

Energies ◽  
2021 ◽  
Vol 14 (23) ◽  
pp. 8033
Author(s):  
David Guan ◽  
Ubaldo Comite ◽  
Muhammad Safdar Sial ◽  
Asma Salman ◽  
Boyao Zhang ◽  
...  
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Financial Development ◽  
Time Series Data ◽  
Renewable Energy Sources ◽  
Series Data ◽  
Cross Sectional ◽  
Renewable Sources ◽  
The Impact ◽  
The Relationship

Developing energy from renewable sources and modernizing the energy system are critical components of China’s efforts to combat climate change. Policymakers and authorities have made significant attempts to bring them. However, one of the major impediments to China’s energy revolution is financial limitations, which are inextricably linked to the country’s economic growth. The present research paper intends to investigate the relationship between economic growth and sustainable financial development on the use of energy from renewable sources in both the short and long run in the context of China. To achieve this, the researchers have utilized the panel data consisting of 10 years from 2011 to 2020. When compared to cross-sectional and time-series data samples, the panel data model offers many benefits. For starters, the panel data includes information on the passage of time and the cross-sectional area. Another benefit of using panel-data models with a larger degree of freedom is that they provide more stable and reliable estimates across short periods across cross-sections. In the case of the short run, there is a positive relationship between economic and financial development and the use of energy from renewable sources in the context of all of China. While in the case of long-term effects, the results indicate the adverse impact of financial development on the use of energy from renewable sources in the western regions of China. These results were deduced using the causality test Granger proposed to determine the path of the causal relationship and the direction of the relationship between the variables. These results indicated that the relationship between economic and financial development in east China was unidirectional, and the nature of the underlying relationship was causal. Meanwhile, in east and west China, economic development in China as a whole has been unidirectionally increasing energy from renewable sources. Our empirical findings suggest many strategies for promoting the growth of energy from renewable sources.

scholarly journals Pengaruh PDRB, UMK, Jumlah Penduduk dan Inflasi Terhadap Jumlah Pengangguran di 35 Kabupaten/Kota di Jawa Tengah Tahun 2011-2017

2020 ◽  
Vol 5 (1) ◽  
pp. 66-76
Author(s):  
Niken Dwi Lestari ◽  
Nenik Woyanti
Keyword(s):  
Panel Data ◽  
Minimum Wage ◽  
Cross Section ◽  
Time Series Data ◽  
Random Effect ◽  
Random Effect Model ◽  
Secondary Data ◽  
Variable Number ◽  
Series Data ◽  
Effect Model

Economic growth can be used as a benchmark of the success of a region’s economic development. This study aims to analyze the effect of GRDP, minimum wage districs / cities, population and inflation variables on the number of unemployment in 35 districs / cities in Central Java Province in 2011-2017.The method which is used in this study is the panel data method, that is cross section data as many as 35 districts / cities and 7 years time series data with Random Effect Model (REM) approach. The type of data used is secondary data and data processing tools used are Eviews 9. The results of this study indicate that the gross regional domestic product (GRDP) variable has a positive and significant effect on the number of unemployment. The minimum wage districs / cities variable has a negative and significant effect on the number of unemployment. The variable number of population has a positive and significant effect on the number of unemployment. The inflation variable has a positive and insignificant effect on the number of unemployment.Keywords : Number Of Unemployment; GRDP; Minimum Wage Districts / Cities; Population; InflationPertumbuhan ekonomi merupakan suatu tolok ukur keberhasilan pembangunan ekonomi suatu daerah. Penelitian ini bertujuan untuk menganalisis pengaruh variabel PDRB, upah minimum kabupaten/kota, jumlah penduduk dan inflasi tehadap jumlah pengangguran di 35 Kabupaten/Kota di Provinsi Jawa Tengah tahun 2011-2017. Metode yang digunakan dalam penelitian ini adalah metode panel data yaitu data cross section sebanyak 35 kabupaten/kota dan data runtut waktu 7 tahun dengan pendekatan Random Effect Model (REM). Jenis data yang digunakan adalah data sekunder dan alat pengolah data yang digunakan adalah Eviews 9. Hasil dari penelitian ini menunjukkan bahwa variabel produk domestik regional bruto (PDRB) memiliki pengaruh positif dan signifikan terhadap jumlah pengangguran. Variabel upah minimum kabupaten/kota memiliki pengaruh negatif dan signifikan terhadap jumlah pengangguran. Variabel jumlah penduduk memiliki pengaruh positif dan signifikan terhadap jumlah pengangguran. Variabel inflasi memiliki pengaruh positif dan tidak signifikan terhdap jumlah pengangguran.Kata Kunci: Jumlah Pengangguran; PDRB; Upah Minimum Kabupaten / Kota; Jumlah Penduduk; Inflasi

scholarly journals Testing The Warrants Mispricing and Their Determinants: The Panel Data Models

2017 ◽  
Vol 5 (2) ◽  
pp. 118
Author(s):  
Muhammad Rizky Prima Sakti ◽  
Abdul Qoyum
Keyword(s):  
Panel Data ◽  
Stock Return ◽  
Time Series Data ◽  
Random Effect ◽  
Random Effect Model ◽  
Fixed Effect Model ◽  
Daily Basis ◽  
Series Data ◽  
Effect Model ◽  
The Impact

This paper empirically studied the impact of several variables such as moneyness, stock return, maturity, and volatility on the warrant mispricing. We selected 4 companies listed in Bursa Malaysia such as MHC Plantations Bhd, MKH Bhd, YFG Bhd, and UNISEM to investigate the mispricing of warrants. Subsequently, panel time series data employed with daily basis from 30 June 2010 until 30 June 2013. The Black-Scholes Option Pricing Model (BSOPM) used to determine the mispricing of warrant. Several panel data techniques employed in this study such as pooled-OLS, fixed effect model (FEM), and random effect model (REM). In turn, we found that FEM is well explained the determinants of warrant mispricing. Thus, empirical results suggest that moneyness, maturity, and volatility are positively and significantly explained the mispricing of warrant, while stock return does not give an impact toward the warrant mispricing. The BSOPM is consistently mispricing the warrant either in-the-money (ITM) or out-the money (OTM) warrants. The market is not efficient on the warrants traded for four companies observed

scholarly journals Import Flows of Bangladesh: Gravity Model Approach under Panel Data Methodology

2012 ◽  
Vol 60 (2) ◽  
pp. 153-157 ◽  
Author(s):  
Mili Roy ◽  
Md. Israt Rayhan
Keyword(s):  
Panel Data ◽  
Gravity Model ◽  
Cross Section ◽  
Time Series Data ◽  
Random Effect ◽  
Least Square ◽  
Series Data ◽  
Ordinary Least Square ◽  
Extended Gravity ◽  
Trading Partners

In counterpoint to export growth, Bangladesh import growth has remained much less strong, despite impressive progress in import liberalization. This study gives an overview of different methodologies related to gravity model analysis in Bangladesh’s import flow. A pooled cross section and time series data were analyzed to incorporate the country specific heterogeneity in country pair trading partners. The import flows are justified by the basic gravity model since Bangladesh’s imports are positively significant by the economy size and inversely related to trade barrier. Accordingly, we have analyzed pooled ordinary least square, fixed effect, random effect. This study also explores extended gravity model using several variables in the light of gravity model panel data approach. Bangladesh’s import is determined by the home and foreign country’s gross domestic product and exchange rate. In addition, Cross section results show that regional trade arrangement which is South Asian Association for Regional Co-operation and border are significant for Bangladesh’s importimplies that Bangladesh should import more from intra regional country and also should import from India.DOI: http://dx.doi.org/10.3329/dujs.v60i2.11485 Dhaka Univ. J. Sci. 60(2): 153-157, 2012 (July)  

scholarly journals The Effect Of Fiscal Decentralization And Economic Growth On Poverty In Gorontalo Province

2020 ◽  
Vol 1 (2) ◽  
Author(s):  
Dahlia Destari Inayah Ali ◽  
Sri Endang Saleh
Keyword(s):  
Economic Growth ◽  
Local Governments ◽  
Quantitative Methods ◽  
Time Series Data ◽  
Fiscal Decentralization ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Series Data ◽  
Section Data ◽  
Negative Effect

The implementation of fiscal decentralization policy has a good impact on the development of the potential and creativity of local governments. Effectiveness in managing the results of regional wealth will affect the original income of the region which can then be utilized for the welfare of the community. This study aims to determine the effect of fiscal decentralization and economic growth on poverty in Gorontalo Province. This research uses quantitative methods. The data used in this study were sourced from the Central Statistics Agency and the Directorate General of Fiscal Balance so that the data in this study were secondary data using the econometrics method through a panel data regression equation in the form of a combination of 10-year time series data (2008-2017) and cross section data 6 Regency / City areas in Gorontalo Province. Estimation is done using the Fixed Effect Model (FEM). The results of this study indicate that (1) Partially the degree of fiscal decentralization has a negative effect (unidirectional relationship) and significant on poverty means that the greater the fiscal decentralization variable will have an impact on reducing the level of poverty (2) Partially economic growth has a negative effect (unidirectional relationship) and significant to poverty means increasing economic growth can reduce poverty levels (3) Simultaneously the degree of fiscal decentralization and economic growth have a significant effect on poverty in Gorontalo Province. Keywords: fiscal decentralization, economic growth, poverty

scholarly journals COMPARISON OF VILLAGE DEVELOPMENT BEFORE AND AFTER VILLAGE FUND IMPLEMENTATION IN NAGAN RAYA DISTRICT

2021 ◽  
pp. 18-35
Author(s):  
Arroyyan Ramly
Keyword(s):  
Time Series Data ◽  
Random Effect ◽  
Random Effect Model ◽  
Secondary Data ◽  
Primary Data ◽  
Series Data ◽  
P Value ◽  
Analysis Method ◽  
Effect Model ◽  
The Village

This study aims to analyze and see the effectiveness of the distribution of the use of village funds in Kuala Subdistrict, Nagan Raya Regency and its relationship with poverty levels. The data used is in the form of time series data from 2015 to 2018 which is collected through primary and secondary data. Primary data were obtained by directly visiting villages in the Kuala sub-district. Meanwhile, secondary data were obtained from the website of the Central Statistics Agency (BPS), document review, articles related to the object of research. This study conducted observations of 10 villages as a sample of 17 villages in Kuala District. The analysis method uses panel data regression with the random effect model (REM) analysis method. From the regression results of the random effect model, it was found that the village fund variable had a positive and significant effect on poverty with a probability of 0.0000 = p-value α = 5%. Then the village fund allocation variable has a significant negative effect on poverty with a probability of 0.0000 = p-value α = 5%. This means that adding 1% of village funds or increasing village funds will reduce poverty in Kuala Subdistrict, Nagan Raya Regency.

GREEN GROWTH: IMPORTANT DETERMINANTS

2015 ◽  
Vol 60 (02) ◽  
pp. 1550014 ◽  
Author(s):  
GHULAM SAMAD ◽  
RABIA MANZOOR
Keyword(s):  
Time Series Data ◽  
Random Effect ◽  
Random Effect Model ◽  
Developed Countries ◽  
Fixed Effect Model ◽  
Least Square ◽  
Series Data ◽  
Market Size ◽  
Green Growth ◽  
Effect Model

We discuss the important determinants requires to develop green patents, which eventually reinforce green growth. The theoretical framework examined four elements, the enforcement of intellectual property rights (IPRs), research and development (R&D) expenditures, market size and environmental taxations. We empirically test the green patent data to test the interrelationship of green patents representing the green innovations and IPR, R&D expenditures, market size and environmental taxations. Keeping in view the availability of the data we studied 11 developed countries, which are Austria, Australia, Canada, France, Japan, Finland, Germany, Sweden, U.K and U.S. The panel data can better handled the technological change rather than the pure cross section or pure time series data. Therefore, this study used the Pooled Least Square estimation techniques like Fixed Effect Model (FEM) and random effect model (REM) for both balance period of 1995–2010 and unbalanced period from 1995–2010. We only interpreted the balance period results depicting the enforcement of IPRs has negative and significant impact on green patents while the R&D expenditures, market size and environmental taxations has positive and significant impact on the green patents e.g. development of green innovations. We believe that the enforcement of explanatory variables will eventually acquire green growth.

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