Please use this identifier to cite or link to this item: http://hdl.handle.net/10995/102895
Title: Does trade related sectoral infrastructure make chinese exports more sophisticated and diversified?
Authors: Rehman, F. U.
Ahmad, E.
Khan, M. A.
Popp, J.
Oláh, J.
Issue Date: 2021
Publisher: MDPI AG
Citation: Does trade related sectoral infrastructure make chinese exports more sophisticated and diversified? / F. U. Rehman, E. Ahmad, M. A. Khan, et al. — DOI 10.3390/su13105408 // Sustainability (Switzerland). — 2021. — Vol. 13. — Iss. 10. — 5408.
Abstract: Whether better infrastructure influences Chinese export sophistication (ES) and diversification (ED) is an important question, which surprisingly remains unaddressed. The current study contributes to the ES and ED literature by capturing the symmetric and asymmetric effect of infrastructure on ES and ED. We employ a robust dynamically simulated autoregressive distributed lag (DYS-ARDL) dynamic method, which is an extended version of NARDL and ARDL. The major aim of this new DYS-ARDL dynamic approach was to abolish the issue in orthodox ARDL model approach while examining the long-run and short-run. The new dynamic DYS-ARDL model is accomplished in estimating, stimulating, and robotically plotting predictions of counterfactual alterations in one explanatory variable and its impact on the dependent variable while holding the remaining regressors constant. Furthermore, this new method of DYS-ARDL model can estimate, stimulate, and plot to forecast graphs of positive and negative variations in the variables robotically as well as their short and long-run associations. Interestingly, the results of this study witness the presence of long-run relationship between infrastructure and ES and ED in China. The present study shows that better infrastructure will be more beneficial for Chinese ED and ES. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Keywords: CHINA
EXPORT SOPHISTICATION AND DIVERSIFICATION
INFRASTRUCTURE
SIMULATED ARDL
DETECTION METHOD
EXPORT
SPATIOTEMPORAL ANALYSIS
CHINA
URI: http://hdl.handle.net/10995/102895
Access: info:eu-repo/semantics/openAccess
SCOPUS ID: 85106561863
PURE ID: 22121606
d0aaa6a7-8a2e-40bb-ba25-72ae53161bb0
ISSN: 20711050
DOI: 10.3390/su13105408
Appears in Collections:Научные публикации, проиндексированные в SCOPUS и WoS CC

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