scholarly journals The Impact of Educational Investment on Sustainable Economic Growth in Guangdong, China: A Cointegration and Causality Analysis

2019 ◽  
Vol 11 (3) ◽  
pp. 766 ◽  
Author(s):  
Liping Liao ◽  
Minzhe Du ◽  
Bing Wang ◽  
Yanni Yu
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Data Model ◽  
Educational Investment ◽  
Causality Analysis ◽  
Pearl River Delta Region ◽  
Financial Investment ◽  
The Pearl River ◽  
Sustainable Economic Growth ◽  
The Impact

Education, as an investment in human capital, is regarded as an important determinant of sustainable economic growth [1,2]. The purpose of this study is to explore the cointegration and causality between the investment in education and sustainable economic growth in Guangdong province by using the panel data of 21 cities from 2000 to 2016. We construct a variable intercept panel data model with an individual fixed effect based on the Cobb-Douglas production function, estimating the contribution of the investment in education to economic growth by introducing lags. The findings show the existence of the feedback causality between education and sustainable economic growth. Also, the results reveal that the local financial investment in education plays a positive and statistically significant role in promoting sustainable economic growth. However, the contribution of the local financial investment in education to economic growth varies in different areas. The investment in education in the Pearl River Delta region have the most obvious pull effects on its regional economy, whereas the Western region takes the second place. Meanwhile, the local financial investment in education for its role in promoting economic growth obviously has a two-year hysteresis effect. These findings have important implications for Guangdong’s solution to the imbalance between regional educational investment and sustainable economic growth.

scholarly journals ANALISIS PERANAN KREDIT SEKTORAL DAN PENGARUH BI RATE DALAM MENDORONG PERTUMBUHAN EKONOMI NASIONAL

2018 ◽  
Author(s):  
Shafenti ◽  
Irwan ramli osman
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Financial Services ◽  
Continuous Interaction ◽  
Ministry Of Finance ◽  
Sustainable Economic Growth ◽  
The Impact ◽  
Method Analysis ◽  
Observation Period

This research discusses about the analysis of the role of sectoral credit and the impact of BI Rate in promoting economic growth in Indonesia with panel data method analysis. Researcher estimates this model by using the structure of stacked panel data and also uses observation period from 2011 to 2015. This panel data also consist of 16 sectors of the economy as the cross section dataset. The objectives of this study are to describe the role of sectoral credit and the impact of BI rate to the GDP In promoting economic growth. Based on fixed effect method by using eviews 9, all independent variables have positive and significant impacts to GDP growth partially and simultaneously. Through this study, researcher expects ministry of finance as the fiscal authority, central bank of Indonesia (monetary authority), and also financial services authority of Indonesia can form a synergy and continuous interaction in designing policies that have impacts on sustainable economic growth in Indonesia

scholarly journals Social Security and Sustainable Economic Growth: Based on the Perspective of Human Capital

2019 ◽  
Vol 11 (3) ◽  
pp. 662 ◽  
Author(s):  
Ming Zhang ◽  
Xiaorong Zou ◽  
Long Sha
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Panel Data ◽  
Social Security ◽  
Threshold Model ◽  
Threshold Effect ◽  
Dynamic Panel Data ◽  
Dynamic Panel ◽  
Sustainable Economic Growth ◽  
The Impact

China’s social security expenditure has rapidly grown during the past decade, and concerns about the impact of social security on productivity and sustained economic growth have attracted attention. Based on Chinese provincial panel data over the period 2007–2016, a threshold model analysis found that the impact of social security on productivity has a “double threshold” on human capital. Using dynamic panel data models and system General Moment Method estimators also found the existence of this threshold effect: When the human capital level is low or high, social security is favorable for sustained economic growth. However, if the human capital level is at the intermediate level, the function of social security is weak. The main conclusions were still valid after we examined the robustness of our results with several methods.

An Application of GMM Method in the Test of Relationship between Urbanization and Circulation Economic Growth

2013 ◽  
Vol 712-715 ◽  
pp. 3207-3210
Author(s):  
Yue Xi Liu ◽  
Zhen Bo Zhang
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Data Model ◽  
Dynamic Panel Data ◽  
Labor Input ◽  
Dynamic Panel ◽  
Dynamic Panel Data Model ◽  
Impact Of Urbanization ◽  
The Impact ◽  
Positive Effect

To explore the impact of urbanization and economic growth on the development of circulation industry, this paper uses GMM method to estimate dynamic panel data model, based on panel data at provincial-level from 2001 to 2010 in China, after testing the endogeneity of urbanization and economic growth. The findings indicate that regional economic development, labor input and fixed investment has significant positive effect on output of circulation, while lagged output of circulation and level of urbanization has no significant effect on it.

scholarly journals Financial Inclusion, Income Inequality and Sustainable Economic Growth in Sub-Saharan African Countries

2021 ◽  
Vol 13 (4) ◽  
pp. 1780
Author(s):  
Chima M. Menyelim ◽  
Abiola A. Babajide ◽  
Alexander E. Omankhanlen ◽  
Benjamin I. Ehikioya
Keyword(s):  
Economic Growth ◽  
Income Inequality ◽  
Financial Services ◽  
Sub Saharan Africa ◽  
Kuznets Curve ◽  
African Countries ◽  
Financial Access ◽  
Sub Saharan ◽  
Sustainable Economic Growth ◽  
The Impact

This study evaluates the relevance of inclusive financial access in moderating the effect of income inequality on economic growth in 48 countries in Sub-Saharan Africa (SSA) for the period 1995 to 2017. The findings using the Generalised Method of Moments (sys-GMM) technique show that inclusive financial access contributes to reducing inequality in the short run, contrary to the Kuznets curve. The result reveals a negative effect of financial access on the relationship between income inequality and economic growth. There is a positive net effect of inclusive financial access in moderating the impact of income inequality on economic growth. Given the need to achieve the Sustainable Development Targets in the sub-region, policymakers and other stakeholders of the economy must design policies and programmes that would enhance access to financial services as an essential mechanism to reduce income disparity and enhance sustainable economic growth.

scholarly journals The Importance of Maritime Transport for Economic Growth in the European Union: A Panel Data Analysis

2021 ◽  
Vol 13 (14) ◽  
pp. 7961
Author(s):  
Alexandra Fratila (Adam) ◽  
Ioana Andrada Gavril (Moldovan) ◽  
Sorin Cristian Nita ◽  
Andrei Hrebenciuc
Keyword(s):  
Economic Growth ◽  
European Union ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Maritime Transport ◽  
The European Union ◽  
Panel Data Regression ◽  
Green Investment ◽  
Port Infrastructure ◽  
The Impact

Maritime transport is one of the main activities of the blue economy, which plays an important role in the EU. In this paper, we aim to assess the impact of maritime transport, related investment, and air pollution on economic growth within 20 countries of the European Union, using eight panel data regression models from 2007 to 2018. Our results confirm that maritime transport, air pollutants (NOx and SO2) from maritime transport, and investment in maritime port infrastructure are indeed positively correlated with economic growth. In other words, an increase of 10% in these factors has generated an associated increase in economic growth rate of around 1.6%, 0.4%, 0.8%, and 0.7% respectively. Alongside the intensity of economic maritime activities, pollution is positively correlated with economic growth, and thus it is recommended that policymakers and other involved stakeholders act to diminish environmental impacts in this sector using green investment in port infrastructure and ecological ships, in accordance with the current European trends and concerns.

Assessing the Impact of the Factors in the Digital Transformation on the Regional Economic Growth

REGIONOLOGY ◽  
2021 ◽  
Vol 29 (3) ◽  
pp. 486-510
Author(s):  
Tatyana V. Mirolyubova ◽  
Marina V. Radionova
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Fixed Effects ◽  
Digital Transformation ◽  
Regional Economic Growth ◽  
Regional Economic ◽  
The Russian Federation ◽  
Regional Product ◽  
The Impact ◽  
Regions Of Russia

Introduction. The scientific problem under consideration is of particular relevance due to the need to assess the impact of the factors in the digital transformation of the regional economy and in the economic growth on the economic development of the regions of the Russian Federation. Based on the research conducted, the article presents an econometric assessment of the dependence of the level of the gross regional product per capita in the regions of Russia on such factors as digital labor and digital capital. Materials and Methods. The authors analyzed panel data from the Federal State Statistics Service covering 87 regions of Russia for the period from 2010 to 2018. The research methodology is based on the use of the Cobb–Douglas production function, statistical and correlation data analysis, as well as on econometric methods for studying panel data. Results. To analyze the impact of the digital transformation of the economy on the regional economic growth of the regions of Russia, various models based on panel data have been considered, such as the pooled model, fixed effects models, random effects models, as well as time-varying effects models using dummy variables. Based on statistical criteria, the best model has been chosen and conclusions have been drawn about the nature of the impact of the digital transformation indicators on the gross regional product per capita in the regions of Russia. Discussion and Conclusion. The results of econometric modeling have demonstrated that digital factors in economic growth (digital labor, digital capital), along with common factors in economic growth (labor and capital), affect the regional economic growth. According to the regional data for the period from 2010 to 2018, the time fixed effects model has proved to be the best model of the impact of the factors in economic growth and digital transformation on the economic development of the regions of the Russian Federation. The research results can be used when developing a public policy aimed at stimulating the digital transformation of the regional economy.

scholarly journals Maternal Mortality in Ghana: Impact of the Fee-Free Delivery Policy and the National Health Insurance Scheme

2015 ◽  
Vol 4 (3) ◽  
pp. 232
Author(s):  
Seidu Sofo ◽  
Emmanuel Thompson
Keyword(s):  
Health Insurance ◽  
Panel Data ◽  
Maternal Mortality ◽  
National Health Insurance ◽  
National Health ◽  
Data Model ◽  
Fixed Effects ◽  
Panel Data Model ◽  
Skilled Delivery ◽  
The Impact

<p>Maternal mortality (MMR) is the second largest cause of female deaths in Ghana. Yet, many households cannot afford the cost of skilled delivery The study utilized the Panel Data Model to examine the impact of the fee-free delivery (FDP) and the National Health Insurance Policy (NIP) exemptions on MMR in Ghana. The Demographic and Health Survey reports on Ghana from 2002 to 2009 served as the main data source. Data were analyzed using Panel data model with within group fixed effects estimator. MMR declined significantly over the period studied. Both FDP and NIP positively impacted MMR at a 5% level of significance. In addition, skilled delivery was a significant predictor of MMR. Stakeholders would do well to ensure NIP is adequately funded in order to sustain the decline in MMR.</p><p> </p><p><strong><br /></strong></p>

scholarly journals Higher Education Funding and Economic Growth: Empirical Evidence from Croatia

2020 ◽  
Vol 67 (3) ◽  
pp. 409-421
Author(s):  
Maja Nikšić Radić ◽  
Hana Paleka
Keyword(s):  
Higher Education ◽  
Economic Growth ◽  
Structure Model ◽  
Higher Education Funding ◽  
Causality Test ◽  
Economic Growth And Development ◽  
Social And Economic Development ◽  
Sustainable Economic Growth ◽  
The Impact ◽  
Growth Hypothesis

Deprived of investment in education, no country can expect sustainable economic growth and development. Higher education is particularly a priceless tool in today's era of globalization that requires continuous education to keep up with new knowledge. According to UNESCO (2014), higher education is no longer a luxury; it is essential to national, social and economic development. The impact of education on economic growth is possible to observe within the so-called ‘education led growth hypothesis’. The main aim of this paper it to analyse the higher education size and structure, model and financing sources in Croatia and to test the ‘education led growth hypothesis’ on the example of Croatia. The study will apply the Granger causality test to evaluate if there is any causal relationship between investment in higher education and economic growth in Croatia.

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