Please use this identifier to cite or link to this item:
Title: Economic, social, and political determinants of environmental sustainability: Panel data evidence from NEXT eleven economies
Authors: Mughal, Nafeesa
Wen, Jun
Zhang, Qianxiao
Pekergin, Zehra Betul
Ramos-Meza, Carlos Samuel
Pelaez-Diaz, Guillermo
Keywords: ecological footprint
environment sustainability
heterogeneous panel data estimators
NEXT-Eleven economies
Ecological Footprints
Financial Development
Issue Date: 2022
Publisher: Sage Publications Ltd
Abstract: This paper aims to investigate the impact of social, economic, and political variables on per capita ecological footprint consumption in the NEXT Eleven economies over the period 1984- 2018. The study utilized the dynamic heterogeneous panel estimators of Cross-Sectionally Augmented Auto-regressive Distributive Lag (CS-ARDL) along with the estimator with a multifactor error structure. The study also estimated the cross-Sectionally augmented distributed lag (CS-DL) model while for robustness check the augmented mean group (AMG) and cross-Sectionally augmented error correction method (CS-ECM) is also considered. The study finding maintains that the impact of GDP per capita, multifaceted phenomena of financial development, and military expenditure is positive and significant suggesting that a unit increase in these variables deteriorates the environment in the NEXT Eleven economies. In contrast, higher life expectancy and government stability improve the environment in the long run. The findings of the study suggest that eco-friendly technologies to be used in the production process, as well as projects using outdated technologies, should be discouraged along with the assurance of government stability and reduction of military expenditure in the NEXT Eleven economies.
ISSN: 0958-305X
Appears in Collections:Kütüphane ve Dokümantasyon Daire Başkanlığı Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections

Show full item record

CORE Recommender

Page view(s)

checked on Oct 2, 2023

Google ScholarTM



Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.