scholarly journals Economic Growth Effects of Public and Private Investment: Evidence from Dynamic Panel Estimation for Developed and Developing Countries

2021 ◽  
Author(s):  
Taner Turan ◽  
Halit Yanikkaya ◽  
Hüseyin A. Özer
2018 ◽  
Vol 25 (1) ◽  
Author(s):  
Halit Yanıkkaya ◽  
Taner Turan

Abstract In this paper, we empirically examine the effect of polity stability on economic growth and investment by using the dynamic panel estimation techniques for more than 100 countries over the period 1960–2009. Our initial results imply that democracy reduces growth in both developed and developing countries. However, there is no evidence for the existence of a significant effect of the democracy level on the overall, public and private investment. Our results also suggest that the growth and investment effects of polity stability proxied by regime durability and polity fragility measures greatly differ in developing and developed countries. Our empirical results indicate that polity stability promotes growth only in developing countries. It seems that regime durability and polity fragility affect economic growth mainly through investment. We also make a distinction between public and private investment when examining the effects of polity stability. It seems that the durability and fragility matter for private investment. Therefore, developing countries ought to put solid efforts to lessen polity instability to promote economic growth.


2019 ◽  
Vol 67 (1-2) ◽  
pp. 9-29
Author(s):  
J. C. Edison ◽  
Harish Kumar Singla

The purpose of the article is to find the effect of public expenditure (GI) and private project expenditure (PI) in different states on state gross domestic product (SGDP) and national gross domestic product (NDGP). The study also attempts to examine the sectors that contribute the most in growth of state and nation. The selected sectors in the study include manufacturing, mining, services, power, construction and infrastructure and irrigation. Data of all states and four union territories (UTs) for GI and PI in selected sectors are collected and a panel is formed. Four different regression equations are developed. The estimation is done using two-step Arellano–Bover/Blundell–Bond’s dynamic panel data to account for endogeneity and heteroscedasticity. The results suggest there exist two clusters of states in India. First cluster is of 13 states, which contributes towards the economic growth of nation and the other cluster is 16 states and UTs that do not contribute towards the economic growth of nation. The states that contribute towards the economic growth of nation do it primarily through private investment in the service sector.


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