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      Financial health and economic growth responsiveness as solution to environmental degradation in Pakistan

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          Abstract

          This study analyses the impact of GDP per capita, domestic credit, savings, and population on the environment in Pakistan from 1995 to 2019. The country has consistently been ranked eighth, fifth, and eight as an environmentally vulnerable nation from 1998 to 2017, 1999 to 2018, and 2000 to 2019, respectively. Therefore, the study explores the role of environmental awareness as a potential strategy for making peace with nature. Findings of the ARDL bounds testing approach confirm the long-run cointegration among variables of concern. In further assessment, the study determines that increased per capita income is detrimental to environmental quality in the long run. However, in the short run, it shows a favourable impact. On the other hand, domestic credit worsens the environment in the long and short runs. However, savings are positively insignificant in this regard. Furthermore, the total population significantly harms the environment in the long and short run. Fortunately, environmental awareness has emerged as a key solution to environmental degradation in Pakistan. Findings show that an increase in the dissemination of environmental awareness through the Internet, mobile, and landline phones, as well as by increasing education expenditures, mitigates the populations’ detrimental impact on the environment and improves environmental quality in the long run.

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          Bounds testing approaches to the analysis of level relationships

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            Co-Integration and Error Correction: Representation, Estimation, and Testing

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              Statistical analysis of cointegration vectors

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                Author and article information

                Contributors
                daniel.balsalobre@uclm.es
                Journal
                Environ Sci Pollut Res Int
                Environ Sci Pollut Res Int
                Environmental Science and Pollution Research International
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                0944-1344
                1614-7499
                18 April 2024
                18 April 2024
                2024
                : 31
                : 21
                : 31524-31545
                Affiliations
                [1 ]School of Management, Harbin Institute of Technology, ( https://ror.org/01yqg2h08) Harbin, People’s Republic of China
                [2 ]Department of Applied Economics I, University Castilla La-Mancha, ( https://ror.org/05r78ng12) 13071 Cuenca, Spain
                [3 ]Department of Management and Marketing, Faculty of Economics and Management, Czech University of Life Sciences Prague, ( https://ror.org/0415vcw02) Prague, Czech Republic
                [4 ]UNEC Research Methods Application Center, Azerbaijan State University of Economics (UNEC), ( https://ror.org/000y2g343) Istiqlaliyyat Str. 6, Baku, 1001 Azerbaijan
                [5 ]Department of Finance, Accounting and Finance, National University of Science and Technology Politehnica Bucharest, Bucharest, Romania
                [6 ]Institute of Doctoral and Post-Doctoral Studies, University Lucian Blaga of Sibiu, ( https://ror.org/026gdz537) Sibiu, Romania
                Author notes

                Responsible Editor: Eyup Dogan

                Author information
                http://orcid.org/0000-0002-6099-7899
                Article
                33176
                10.1007/s11356-024-33176-2
                11096257
                38637480
                b68ea11e-2053-4940-b8c6-3b0bad55c0cc
                © The Author(s) 2024

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 29 November 2023
                : 28 March 2024
                Funding
                Funded by: Universidad de Castilla la Mancha
                Categories
                Research Article
                Custom metadata
                © Springer-Verlag GmbH Germany, part of Springer Nature 2024

                General environmental science
                environment,awareness,population,monetary dynamics,ardl bounds testing,pakistan

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