The Role Models as Determinants of New Technology-Based Firms

2018 ◽  
pp. 272-288
Author(s):  
Guillermo Andrés Zapata Huamaní ◽  
Sara Fernández-López ◽  
Isabel Neira Gómez ◽  
Lucía Rey-Ares ◽  
María Jesús Rodríguez-Gulías ◽  
...  
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Role Models ◽  
Driving Forces ◽  
New Technology ◽  
Random Effect ◽  
External Factors ◽  
New Technology Based Firms ◽  
Important Field ◽  
Random Effect Models

The new technology-based firms (NTBF) are a key element of economic growth, and therefore, understanding NTBF´s driving forces becomes a particularly important field of study. Relatively few studies have addressed the analysis of the determinants of technology entrepreneurship (TE), and those that did, have paid more attention to institutional or external factors (Aceytuno & de Paz, 2008). Role models have received less attention but seem to play a determinant role regarding TE (Venkataraman, 2004). The present chapter aims to analyse whether these role models and its proximity to potential entrepreneurs influence the NTBF creation. Using a sample of 65 countries over the period 2006-2013, we apply panel data random effect models. Overall, empirical evidence revealed that the variables media attention on entrepreneurship and personally know an entrepreneur exert significant influence on TE.

Corruption and economic growth in some selected transitional economies

2009 ◽  
Vol 5 (1) ◽  
pp. 70-82 ◽  
Author(s):  
Hakeem Ishola Mobolaji ◽  
Kamil Omoteso
Keyword(s):  
Economic Growth ◽  
Maximum Likelihood ◽  
Panel Data ◽  
Maximum Likelihood Estimation ◽  
Random Effect ◽  
Likelihood Estimation ◽  
Transitional Economies ◽  
Content Type ◽  
Estimation Techniques ◽  
Data Framework

PurposeThe general objective of the paper is to investigate the impact of corruption and other institutional factors on economic growth in some selected transitional economies for the period of 1990‐2004 and make policy recommendations for combating it. Specifically, the study attempts to: assess whether corruption has any impact on the growth of the sample countries; examine whether simultaneous policy reform focussing on accountability and rule of law impact positively on growth of these economies; and investigate whether corruption in these countries exhibit the efficient grease syndrome.Design/methodology/approachThe indices for corruption and other institutional variables were drawn from International Country Risk Guide (ICRG – PRS) for the period of 1990‐2004, the polity data were obtained from the Polity IV, while the real gross domestic product (GDP) per capita growth were obtained from the Penn World 6.2. The study covered the period between 1990 and 2004 that coincides with the real transition of these economies from centrally planned to market economies. It adopts the panel data framework, the fixed effect, the random effect and the maximum likelihood estimation techniques for the analysis.FindingsThe study's findings support Mauro's hypothesis that corruption has a negative impact on the economies. However, the study cannot find a robust statistical evidence to support the efficient grease hypothesis of Leff and Huntington.Research limitations/implicationsThe paper recommends policy efforts that would strengthen accountability and bureaucratic quality, reduce discretionary power, ethnic fractionalisation and military involvement in politics with a view to enhancing social responsibility practices at both micro and macro levels.Originality/valueUnlike previous studies that focussed on single cross‐country regression with an assumption of identical aggregate production function for all countries, this study adopts the panel data framework that makes it possible to allow for differences in the form of unobservable individual country effects. The paper employs the fixed effect, the random effect and the maximum likelihood estimation techniques.

scholarly journals Economic Growth Determinants of Asean Economic Community: Feasible Generalized Least Square Approach

2021 ◽  
Vol 316 ◽  
pp. 01019
Author(s):  
Imamudin Yuliadi ◽  
Wahdi Salasi April Yudhi
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Random Effect ◽  
The Philippines ◽  
Least Square ◽  
Economic Community ◽  
Brunei Darussalam ◽  
Least Square Approach ◽  
Asean Economic Community

This study aims to analyze the factors determining economic growth in ASEAN countries, which are the ASEAN economic community members as a potential center for world economic growth. The research method applied in this study was a panel data analysis model with a feasible generalized least square approach. The research period was from 2015 – 2019 in all ASEAN member countries: Indonesia, Myanmar, Malaysia, Singapore, Thailand, Laos, Vietnam, Cambodia, Brunei Darussalam, and the Philippines. Testing the data used the Chow and Hausman tests to determine the analysis method: fixed effect, random effect, or common effect. The results of panel data regression estimation with a feasible generalized least square approach uncovered that the variables of the number of the labor force, currency exchange rates, money supply (M1), exports, imports, Gini index, foreign debt, corruption perception index, financial literacy index, and foreign investment (PMA) significantly affected the economic growth of the ASEAN economic community, including develop agriculture sector. Meanwhile, the variables of domestic investment and financing credit did not affect the economic growth of the ASEAN economic community. The conclusion and recommendation from this study’s results are each ASEAN country’s efforts to encourage economic growth by utilizing its comparative advantages and strategic cooperation to create market opportunities and increase the economic efficiency of the ASEAN economic community.

scholarly journals UKURAN PASAR UKURAN PASAR (Market Size) DAN INVESTASI ASING LANGSUNG DI ASEAN

2016 ◽  
Vol 1 (1) ◽  
pp. 26
Author(s):  
Adi Lumadya
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Foreign Investment ◽  
Capita Income ◽  
Random Effect ◽  
Direct Foreign Investment ◽  
Market Size ◽  
Per Capita Income ◽  
Variable Size ◽  
Per Capita

The main objective of this study was to examine the influence of some economic variables that include market size proxied with income per capita, economic growth, and exports to the Foreign Direct Investment in the member countries of ASEAN-9. The analytical tool used is the Least Squares Regression (Ordinary Least Square) and Panel Data. In the Data Panel will look for similarities in effect is Fixed (Fixed Effect) and the effect is Random (Random Effect). The results of the analysis are: Based on the analysis of OLS concluded that the variable size of the market (market size) were proxied with Per Capita Income (GDPP), Economic Growth (EG), and exports (EG) significantly affects the Direct Foreign Investment. Based on the analysis of Panel Data with Fixed Effect Method concluded that the variable size of the market (market size) were represented with per capita income (GDP), Economic Growth (EG), and exports (EG) significantly affects the Direct Foreign Investment. Based on the analysis of Panel Data with Random Effect method concluded that the variable size of the market (market size) were proxied with per capita income (GDP), Economic Growth (EG), and exports (EG) significantly affects the Direct Foreign Investment. Keywords: Foreign Direct Investment, Fixed Effect, Random Effect

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 Faktor–faktor yang mempengaruhi inflasi Provinsi-Provinsi di Sumatera

2019 ◽  
Vol 8 (1) ◽  
pp. 1-14
Author(s):  
Lailan Syafrina Hasibuan ◽  
Rahma Nurjanah ◽  
Etik Umiyati
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Minimum Wage ◽  
Government Spending ◽  
Quantitative Methods ◽  
Descriptive Analysis ◽  
Random Effect ◽  
Road Infrastructure ◽  
Panel Data Regression ◽  
Data Regression

This study aims to: 1) analyze inflationary developments, road infrastructure, government spending, provincial minimum wage, and economic growth provincial in Sumatra; 2) analyze the influence of road infrastructure, government spending, provincial minimum wage, and economic growth provincial in Sumatra. This research uses a descriptive analysis method to determine the development of each research variable and quantitative methods using panel data regression approach random effect. Based on the descriptive analysis of inflationary development, road infrastructure stagnated, government spending, provincial minimum wage, and economic growth was increased every year. The regression of panel data with random effect approach variable of the provincial minimum wage has a positive and significant influence on the inflation of provincial in Sumatra. While road infrastructure, government spending, economic growth have no significant effect on provincial inflation in Sumatra. Keywords: Inflation, Government spending, Economic growth.

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 Do Government Expenditures Subject to Law of Diminishing Returns? A Panel Data Application

2018 ◽  
Author(s):  
Menşure Kolçak ◽  
Ali Yasin Kalabak
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Empirical Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Government Expenditure ◽  
Fixed Effect Model ◽  
Public Expenditures ◽  
Effect Model ◽  
Diminishing Returns

The effect of government expenditure on economic growth has attracted attention of economist for long time. In this context, this paper aims to understand that government expenditure subjects to whether constant, decreasing or increasing yield. For this reason, countries were classified as with low government expenditure, medium government expenditure and high government expenditure, and were added into empirical analysis in the paper. The number of countries included in the analysis is 138 and the analysis covers the period between years 1980 and 2016. In this context, empirical analysis consists of fixed effect model, random effect model, hausman test and unbalanced panel data technique was applied. According to results of analysis, when government expenditure increases as quantitative, it’s effect on economic growth decreases but it still affects economic growth positively. To make public expenditures lately subject to law of diminishing returns, it may come into question that public expenditures is canalized to technology intensive areas. In order to increase productivity in the public expenditures and to shift out diminishing returns, level of spendings on human capital can be increased.

scholarly journals Human Capital Formation and Economic Growth in Emerging Asia: Empirical Evidence Using Panel Data

2020 ◽  
Vol 3 (2) ◽  
pp. 205-212
Author(s):  
Muhammad Atiq-ur- Rehman ◽  
Suleman Ghaffar ◽  
Kanwal Shahzadi ◽  
Rabail Ghazanfar
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Panel Data ◽  
Fixed Effects ◽  
Random Effect ◽  
Capital Formation ◽  
Human Capital Formation ◽  
Data Set ◽  
The Government ◽  
The Impact

After the emergence of endogenous growth theory, the role of human capital along with physical capital is considered to be imperative in promoting economic growth. The government social sector spending, mainly on education and health, contributes in forming human capital and promotes economic growth. This study examines the impact of health and education provisions on economic growth of emerging Asian economies, including Bangladesh, China, India, Indonesia, Malaysia, Pakistan, Philippine, and Thailand. Using the data set for 1995-2018, the fixed effects (FE) and the random effect (RE) methods of panel data estimation are employed. Both methods reveal that the health and education support the human capital formation and stimulate economic growth.

scholarly journals The Effect of Remittance, Consumption, and FDI on Economic Growth in ASEAN Countries

2021 ◽  
Vol 16 (2) ◽  
Author(s):  
Mega Mariska ◽  
Lies Maria Hamzah ◽  
Arivina Ratih
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Migrant Workers ◽  
Random Effect ◽  
Random Effect Model ◽  
Data Set ◽  
Asean Countries ◽  
Migrant Remittances ◽  
The Government ◽  
The Impact

One of the main indicators seen in reviewing the relationship between international workers and economic growth is remittances. Remittances obtained from workers abroad are one of the major sources of finance for developing countries. Remittances are also a source of finance in increasing migrant household incomes which encourage improved consumption which will affect economic growth. This study was conducted to explore the impact of migrant remittances, consumption and FDI on economic growth in 10 ASEAN countries using annual panel data from 2015-2019. This study uses panel data regression analysis with the Random Effect Model (REM) approach. The results showed that remittances, consumption and FDI positively and significantly contributed to economic growth in 10 ASEAN countries. Significant contribution of migrant remittances in economic growth if their use is directed to more productive sectors such as use in the investment sector can help the economies of ASEAN countries to maintain and increase economic growth. The government needs to improve the quality of migrant workers through education because a high level of education will affect the level of wages received by migrants and will have an impact on increasing remittances. The limitation in this study is the use of limited data, for 2020 it is not included in the data set used in the analysis. For this reason, further research should use 2020 data because in 2020 there be a new phenomenon, namely COVID-19 which can be traced to the impact of this phenomenon on remittances. Keywords: Remittances, Migrant, Economic Growth, Panel Data

scholarly journals Pemodelan Pertumbuhan Ekonomi Provinsi Sulawesi Selatan dengan Menggunakan Regresi Data Panel

2020 ◽  
Vol 2 (3) ◽  
pp. 158
Author(s):  
Misriani Suardin ◽  
Muhammad Nadjib Bustan ◽  
Ansari Saleh Ahmar
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Total Population ◽  
Random Effect ◽  
Random Effect Model ◽  
South Sulawesi ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
Human Capital Index

Abstract. Economic growth is a process for change the economic condition a country or regional by continuously for the better condition as long as definite period. Economic growth in South Sulawesi for 2013-2016 have up and down because many factors have influence it. Like jobless, human capital index, regional revenue, expenditure, and total population. This research was conducted to determine the factors that influence economic growth in South Sulawesi by using data panel regression methods. Panel data regression is a regression by using panel data. Panel data is a statistics analysis method that combines between time series data and cross section data. The result indicates that the result if the regression analysis on the =5% show that the best panel data regression model is random effect model and human capital index variable have significant effect on economic growth with probability value about 0,0227. Meanwhile, jobless, regional revenue, expenditure, and total population no significant.Keywords: Panel Data Regression, Economic Growth, Common Effect Model, Fixed Effcet Model, Random Effect Model

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