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      The role of trade liberalization in promoting regional integration and sustainability: The case of regional comprehensive economic partnership

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          Abstract

          In globalization’s era, the sustainability of a region is inseparable from the in-depth and close economic and trade cooperation of intra-regional countries to achieve complementary advantages, intra-regional and extra-regional positive economic cycles, and stable and balanced benefits distribution. For Asia-Pacific countries, the lack of deep cooperation in the past has affected their sustainability, but this can be made up for by the RCEP agreement aimed at achieving intra-regional trade liberalization. We adopt the Global Trade Analysis Project (GTAP) simulation analysis method to quantitatively analyze the impact of changes in macroeconomic and international trade indicators of several intra-regional countries after implementing the RCEP tariff reduction and exemption on the RCEP. Simulation results and comparative analysis based on international relations prove that despite the interference of trade benefits conflicts and international political factors, the RCEP can still exist in long term, and effectively promote regional economic integration and sustainability in the Asia-Pacific region. It is also a development opportunity for intra-regional countries and can also be used in the context of globalization providing references for integration and sustainability in other regions.

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          Global Sustainability Accounting—Developing EXIOBASE for Multi-Regional Footprint Analysis

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            The Linkage between Economic Growth, Renewable Energy, Tourism, CO2 Emissions, and International Trade: The Evidence for the European Union

            This paper evaluates the link between economic growth, renewable energy, tourism arrivals, trade openness, and carbon dioxide emissions in the European Union (EU-28). As an econometric strategy, the research uses panel data. In the first step, we apply the unit root test, and the results demonstrated that the variables used in this study are integrated I (1) in the first difference. In the second step, we apply the Pedroni cointegration test, and Kao Residual cointegration test, and we observe that the variables are cointegrated in the long run. The panel fully modified least squares (FMOLS), panel dynamic least squares (DOLS), and generalized moments system (GMM-System) estimator are considered in this research. The econometric results proved that trade openness and renewable energy decreased climate change and environmental degradation. The empirical study also found a positive effect of economic growth on carbon dioxide emissions. Moreover, tourism arrivals are negatively correlated with carbon dioxide emissions, showing sustainability practices of the tourism sector on the environment. Furthermore, carbon dioxide emissions in the long run present a positive impact, indicating that climate change increases. In this study, we also consider the recent methodology of Dumitrescu–Hurlin to observe the causality and the relationship between renewable energy, trade openness, economic growth, tourism arrivals, and carbon dioxide emissions.
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              International trade and consumption-based carbon emissions: evaluating the role of composite risk for RCEP economies

              To tackle the issue of climate change and environmental degradation debates regarding carbon neutrality is on the rise. Regional Comprehensive Economic Cooperation (RCEP), the leading trading union, covers nearly third of global economy, world population, is responsible for thirty percent of global trade and global gross domestic product. The existent study tests the impact of financial, economic, political, and composite risk on consumption-based carbon dioxide emissions (CCO 2 ) in selected RCEP economies during the period of 1990 to 2020. The empirical analysis consists of cross-sectional dependence, slope heterogeneity, cross-sectional augmented panel unit root test, Westerlund cointegration, second-generation cross-section augmented autoregressive distributed lags model (CS-ARDL), and panel causality test. Further, we explore the role of imports, renewable energy supply, exports, and gross domestic product per-capita on CCO 2 . The empirical results suggest that the less political risk help to mitigate while the lower financial, economic, and composite risk increase CCO 2 emissions in selected RCEP economies. Moreover, exports and renewable energy supply show mitigating effect, whereas imports show upsurge in CCO 2 . Additionally, a bidirectional causality exists between exports and CCO 2 , imports and CCO 2 , GDP per-capita and CCO 2 , political risk and CCO 2 , and renewable energy and CCO 2 emissions, while a one-way causality from financial risk, composite risk, and economic risk to CCO 2 . Renewable energy supplies along with the improvement in sub-components of political risk, for instance, corruption, government stability, would help to effectively tackle the issue of CCO 2 emissions.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SoftwareRole: SupervisionRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: InvestigationRole: Project administrationRole: ResourcesRole: SoftwareRole: ValidationRole: VisualizationRole: Writing – review & editing
                Role: Formal analysisRole: Funding acquisitionRole: ResourcesRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: InvestigationRole: MethodologyRole: Project administrationRole: SoftwareRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – original draft
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLOS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                23 November 2022
                2022
                : 17
                : 11
                : e0277977
                Affiliations
                [1 ] Hainan University-Arizona State University Joint International Tourism College, Hainan University, Haikou, Hainan, China
                [2 ] School of Public Affairs, Arizona State University, Phoenix, AZ, United States of America
                [3 ] Institute of Science of Science, Qilu University of Technology (Shandong Academy of Sciences), Jinan, Shandong, China
                [4 ] School of Management, Haikou, Hainan, China
                Wuhan University, CHINA
                Author notes

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

                Author information
                https://orcid.org/0000-0003-0816-1979
                Article
                PONE-D-22-11558
                10.1371/journal.pone.0277977
                9683547
                36417481
                b8798ec0-f614-44da-841c-5f933f466c03
                © 2022 Jia 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
                : 20 April 2022
                : 8 November 2022
                Page count
                Figures: 1, Tables: 1, Pages: 16
                Funding
                Funded by: The Research Fund of Chris Ryan’s Academician Workstation in Hainan Province
                The research is partly supported by the research fund of Chris Ryan’s Academician Workstation in Hainan Province.
                Categories
                Research Article
                People and Places
                Geographical Locations
                Asia
                China
                People and Places
                Geographical Locations
                Asia
                Japan
                People and places
                Geographical locations
                Asia
                South Korea
                Social Sciences
                Economics
                Ecology and Environmental Sciences
                Sustainability Science
                Social Sciences
                Economics
                Development Economics
                Economic Growth
                People and Places
                Geographical Locations
                Oceania
                Australia
                People and Places
                Geographical Locations
                Asia
                Singapore
                Custom metadata
                All simulation processes and data results in the experimental part of this research are from GTAP analysis. The link is https://doi.org/10.6084/m9.figshare.20423313, in which OpenGTAP-master.zip is the source code of the software used in this study, Setup.zip is the software install-er for this study, and GTAP10_GTAP_2014_Database.zip is the database used in this study.

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