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      Economic expansion and innovation: A comprehensive analysis of Pakistan’s path to technological excellence

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          Abstract

          To encourage technological and industrial innovation, nations worldwide implement "re-industrialization" and "manufacturing return." This study investigates the relationship between GDP growth, expenditure on research and development, and medium- to high-tech as a percentage of manufactured exports on technological innovation in Pakistan. We evaluated long-run and short-run causal relationships using the ARDL, bound-F test, and ECM regression. The study found a positive relationship between GDP growth and technological innovation in the short and long run. In the short run, with a one-year lag, the analysis reveals a positive and statistically significant relationship between technological innovation, medium-high-tech exports, and GDP growth. In the long run, R&D is positive and significant, while economic growth and technological innovation are positive but not statistically significant. There is a 0.38 percent chance that exogenous shocks will eventually lead to equilibrium in the long run. Based on the findings of this study, it is recommended to allocate resources to research and development, promoting collaborative initiatives, ensuring intellectual property rights, and developing a skilled workforce.

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          Bounds testing approaches to the analysis of level relationships

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            International R&D spillovers

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              The Economic Implications of Learning by Doing

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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: SoftwareRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Project administrationRole: SupervisionRole: ValidationRole: Writing – review & editing
                Role: ConceptualizationRole: Formal analysisRole: ResourcesRole: SoftwareRole: Writing – review & editing
                Role: Writing – review & editing
                Role: Funding acquisitionRole: Writing – review & editing
                Role: VisualizationRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLOS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                25 April 2024
                2024
                : 19
                : 4
                : e0300734
                Affiliations
                [1 ] School of Economics, Wuhan University of Technology, Wuhan, Hubei, P. R. China
                [2 ] Management Department, BINUS Online Learning, Bina Nusantara University, Jakarta, Indonesia
                [3 ] Department of Health Administration, College of Business Administration, King Saud University, Riyadh, Saudi Arabia
                [4 ] Department of Economics, Islamia College, Peshawar, Khyber Pakhtunkhwa, Pakistan
                University of Pitesti, Romania; Institute of Doctoral and Post-doctoral Studies, University Lucian Blaga of Sibiu, ROMANIA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0002-2151-0275
                https://orcid.org/0000-0002-0661-9248
                https://orcid.org/0000-0001-9339-822X
                Article
                PONE-D-24-04084
                10.1371/journal.pone.0300734
                11045076
                38662660
                fb4f2262-a2cc-40e7-8b54-fd27bc4683cb
                © 2024 Khan et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 31 January 2024
                : 4 March 2024
                Page count
                Figures: 4, Tables: 8, Pages: 25
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100002383, King Saud University;
                Award ID: RSP2024R481
                Award Recipient :
                We would like to extend our appreciation to King Saud University for funding this work through the Researcher Supporting Project (RSP2024R481), King Saud University, Riyadh, Saudi Arabia. The funder was responsible for reviewing and editing the manuscript as part of their role.
                Categories
                Research Article
                Social Sciences
                Economics
                Development Economics
                Economic Growth
                Social Sciences
                Economics
                Economic Analysis
                People and Places
                Geographical Locations
                Asia
                Pakistan
                Physical Sciences
                Mathematics
                Probability Theory
                Probability Distribution
                Normal Distribution
                Social Sciences
                Law and Legal Sciences
                Commercial Law
                Intellectual Property
                Social Sciences
                Economics
                Development Economics
                Economic Development
                Research and Analysis Methods
                Mathematical and Statistical Techniques
                Statistical Methods
                Test Statistics
                Physical Sciences
                Mathematics
                Statistics
                Statistical Methods
                Test Statistics
                Physical Sciences
                Mathematics
                Statistics
                Statistical Data
                Custom metadata
                Please see the Supporting Information file for details on how to access the datasets relevant to this study.

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