Economic growth, natural resources, and ecological footprints: evidence from Pakistan.


Journal

Environmental science and pollution research international
ISSN: 1614-7499
Titre abrégé: Environ Sci Pollut Res Int
Pays: Germany
ID NLM: 9441769

Informations de publication

Date de publication:
Jan 2019
Historique:
received: 03 08 2018
accepted: 19 11 2018
pubmed: 1 12 2018
medline: 23 2 2019
entrez: 1 12 2018
Statut: ppublish

Résumé

The ecological footprint, a measure of human demand on earth's ecosystems, represents the amount of biologically productive land and sea area that is necessary to supply the resources a human population consumes and to mitigate associated waste. This study estimates the impact of economic growth and natural resources on Pakistan's ecological footprint using an autoregressive distributive lag (ARDL) model for long-run estimation. The empirical findings indicate that natural resources have a positive effect on an ecological footprint that deteriorates environmental quality and that natural resources help to support the environmental Kuznets hypothesis (EKC). Bidirectional causality is found between natural resources and the ecological footprint, along with a long-run causality between biocapacity and the ecological footprint. The innovative findings have important implications for policy.

Identifiants

pubmed: 30499092
doi: 10.1007/s11356-018-3803-3
pii: 10.1007/s11356-018-3803-3
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2929-2938

Références

Environ Sci Pollut Res Int. 2016 Jan;23(2):1916-28
pubmed: 26408117
Environ Sci Pollut Res Int. 2018 Feb;25(5):4174-4189
pubmed: 29209968
Environ Sci Pollut Res Int. 2018 Mar;25(8):7541-7552
pubmed: 29282664
Environ Sci Pollut Res Int. 2018 Apr;25(10):9461-9473
pubmed: 29353358
Environ Sci Pollut Res Int. 2018 Jul;25(19):18651-18661
pubmed: 29705897
Environ Sci Pollut Res Int. 2018 Aug;25(23):22850-22860
pubmed: 29855885
Environ Sci Pollut Res Int. 2018 Jun 21;:null
pubmed: 29931634
Environ Sci Pollut Res Int. 2018 Sep;25(26):26030-26045
pubmed: 29968217
Environ Sci Pollut Res Int. 2018 Oct;25(28):28378-28390
pubmed: 30083902
Environ Sci Pollut Res Int. 2018 Oct;25(29):29387-29396
pubmed: 30128968
Environ Sci Pollut Res Int. 2018 Nov;25(33):33183-33195
pubmed: 30255266
Environ Sci Pollut Res Int. 2018 Nov;25(33):33611-33619
pubmed: 30276681
Environ Sci Pollut Res Int. 2018 Dec;25(34):34661-34673
pubmed: 30324364

Auteurs

Syed Tauseef Hassan (ST)

School of Management and Economics, Beijing Institute of Technology, Beijing, 100,081, China. sthassan_bit@yahoo.com.

Enjun Xia (E)

School of Management and Economics, Beijing Institute of Technology, Beijing, 100,081, China.

Noor Hashim Khan (NH)

School of Management and Economics, Beijing Institute of Technology, Beijing, 100,081, China.

Sayed Mohsin Ali Shah (SMA)

Central University of Finance and Economics, Beijing, 100,081, China.

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Classifications MeSH