scholarly journals The Impact of Green Finance on Inclusive Economic Growth<br/>—Empirical Analysis Based on Spatial Panel

2020 ◽  
Vol 08 (05) ◽  
pp. 2093-2112
Author(s):  
Xuxia Wang ◽  
Shanshan Wang
2020 ◽  
Vol 39 (1) ◽  
Author(s):  
Adiqa Kiani ◽  
Ejaz Ullah ◽  
Khair Muhammad

The main objective of this study is to investigate the impact of poverty, globalization, and environmental degradation on economic growth in the selected SAARC countries. This study is employed panel Autoregressive Distributive Lag (ARDL) technique for empirical analysis using selected SAARC regions including India, Pakistan, Bangladesh, Nepal and Sri Lanka over the period of 1980 to 2018. Globalization impacts economic growth positively and significantly.  In addition to this the significant negative relationship is found between population and economic growth. The results show that poverty is positively related with environmental degradation. Furthermore, the results indicate that globalization is positively and significantly associated with environmental degradation in the SAARC region. Finally, the results show that urbanization is positive and significantly associated with environmental degradation, which could be the serious concerns for the policy makers to control.


2018 ◽  
Vol 64 (No. 4) ◽  
pp. 163-169 ◽  
Author(s):  
Anousheh Shahrzad ◽  
Hojabr-Kiani Kambiz ◽  
Mojtahed Ahmad ◽  
Ranjbar Homayoun

Agricultural R&amp;D has been identified as an important determinant of economic output in the agricultural sector. Surprisingly, in previous studies, spatial spillover associated with R&amp;D spending in the agricultural sector has not been taken into account. This paper investigates the effects of spatial spillover of agricultural R&amp;D on regional economic growth across EU-28 NUTS-II regions in the period 1995–2014. In particular, we extend previous studies by considering spillover in all sectors of agricultural R&amp;D performance including business enterprise, government and higher education. The spatial Durbin panel data model is employed to estimate brooders effect including direct and indirect effects. Empirical results show a positive effect of agricultural R&amp;D and its spatial spillover on regional growth in all performance sectors. Moreover, the impact of spatial spillover of agricultural R&amp;D on regional growth depends on the performance of the R&amp;D sectors; positive spillovers are stronger in the business enterprise sector. Finally, the interaction effect between the economic output of the agricultural sector of each region with that of its neighbours is significantly positive.  


2007 ◽  
Vol 12 (01) ◽  
pp. 3-29 ◽  
Author(s):  
HÉCTOR SALGADO-BANDA

This study examines the impact of entrepreneurship on economic growth by using a new variable based on patent data to proxy for productive entrepreneurship. Data on self-employment is used as an alternative proxy. The study considers 22 OECD countries and finds a positive relationship between the proposed measure of productive entrepreneurship — degree of innovativeness of different nations — and economic growth, while the alternative measure, based on self-employment, appears to be negatively correlated with economic growth. A battery of econometric specifications and techniques backs the findings.


2014 ◽  
Vol 38 (1) ◽  
pp. 7-30
Author(s):  
Mariusz Próchniak

Abstract This study aims at assessing to what extent institutional environment is responsible for worldwide differences in economic growth and economic development. To answer this question, we use an innovative approach based on a new concept of the institutions-augmented Solow model which is then estimated empirically using regression equations. The analysis covers 180 countries during the 1993-2012 period. The empirical analysis confirms a large positive impact of the quality of institutional environment on the level of economic development. The positive link has been evidenced for all five institutional indicators: two indices of economic freedom (Heritage Foundation and Fraser Institute), the governance indicator (World Bank), the democracy index (Freedom House), and the EBRD transition indicator for post-socialist countries. Differences in physical capital, human capital, and institutional environment explain about 70-75% of the worldwide differences in economic development. The institutions-augmented Solow model, however, performs slightly poorer in explaining differences in the rates of economic growth: only one institutional variable (index of economic freedom) has a statistically significant impact on economic growth. In terms of originality, this paper extends the theoretical analysis of the Solow model by including institutions, on the one hand, and shows a comprehensive empirical analysis of the impact of various institutional indicators on both the level of development and the pace of economic growth, on the other. The results bring important policy implications.


2020 ◽  
Vol 0 (2(73)) ◽  
pp. 27-45
Author(s):  
Anthony Orji ◽  
Jonathan E. Ogbuabor ◽  
Chikaodinaka Iwuagwu ◽  
Onyinye I. Anthony-Orji

Sign in / Sign up

Export Citation Format

Share Document