scholarly journals Nonlinear dynamic panel analysis of the relationship between renewable energy expansion and economic growth

2017 ◽  
Vol 23 (2) ◽  
pp. 31-66
Author(s):  
Hahyun Jo ◽  
Hyungwoo Lim
2020 ◽  
Vol 74 (1) ◽  
Author(s):  
Daniel de Abreu Pereira Uhr ◽  
Silvio da Rosa Paula ◽  
Mariana Fialho Ferreira ◽  
Marcelo de Oliveira Passos ◽  
Julia Gallego Ziero Uhr

2014 ◽  
Vol 22 (2) ◽  
pp. 258-273 ◽  
Author(s):  
Khusrav Gaibulloev ◽  
Todd Sandler ◽  
Donggyu Sul

This article investigates inconsistency and invalid statistical inference that often characterize dynamic panel analysis in international political economy. These econometric concerns are tied to Nickell bias and cross-sectional dependence. First, we discuss how to avoid Nickell bias in dynamic panels. Second, we put forward factor-augmented dynamic panel regression as a means for addressing cross-sectional dependence. As a specific application, we use our methods for an analysis of the impact of terrorism on economic growth. Different terrorism variables are shown to have no influence on economic growth for five regional samples when Nickell bias and cross-dependence are taken into account. Our finding about terrorism and growth is contrary to the extant literature.


2014 ◽  
Vol 11 (2) ◽  
Author(s):  
Antonio Romano ◽  
Giuseppe Scandurra

In this paper we analyze the key factors promoting the investments in renewable energy sources in a panel dataset of Petroleum Exporting Countries (OPEC) members. To address these issues, a dynamic panel analysis of renewable investments in the sample of OPEC with distinct economic and social structures, in the years between 1980 and 2009, is proposed. Results confirm that key factors promoting investments in renewable energy sources are similar to other studies which include more developed countries. However, lack of grants and/or incentives to promote the installations of new renewable power plants is a limit for the future and sustainable development of these countries.


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