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The Role of Technological Innovation in a Dynamic Model of the Environmental Supply Chain Curve: Evidence from a Panel of 102 Countries

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School of Public Administration, Xi’an University of Architecture and Technology, Xi’an 710000, China
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Department of Economics, University of Haripur, Khyber Pakhtunkhwa, Haripur 22620, Pakistan
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Industrial Engineering and Management, Lappeenranta-Lahti University of Technology LUT, P.O. Box 20, FI-53851 Lappeenranta, Finland
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Gender and Development Studies Department, University of Balochistan, 87550 Quetta, Pakistan
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Higher Education Department Khyber Pakhtunkhwa, Government College of Management Sciences, Haripur 22620, Pakistan
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Primary Teacher Education Department & Research Interest Group in Education Technology, Faculty of Humanities, Bina Nusantara University, Jakarta 11480, Indonesia
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Entrepreneurship Department, Podomoro University, Jakarta 11470, Indonesia
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Faculty of Social Sciences and Humanities, Universiti Teknologi Malaysia (UTM), Johor Bahru 81310, Malaysia
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Faculty of Social Sciences and Humanities, Universiti Teknologi Malaysia (UTM), Skudai, Johor Bahru 81310, Malaysia
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Author to whom correspondence should be addressed.
Processes 2020, 8(9), 1033; https://doi.org/10.3390/pr8091033
Received: 9 July 2020 / Revised: 6 August 2020 / Accepted: 18 August 2020 / Published: 24 August 2020
(This article belongs to the Special Issue Optimization Technology of Greenhouse Gas Emission Reduction)
Advancing smart production systems for green production remains a crucial priority for manufacturers, while the vision to achieve green supply chain management process (GSCMP) remains obstructed due to using less fuel-efficient technologies. This study suggested an intelligent logistics design that infused technological indicators with logistics performance indices (LPIs) to minimize carbon damages in a panel of 102 countries. The study used patent applications and trademark applications to analyze the technological progress, whereas LPIs—i.e., LPI-1 for assessing quality and competence services, and LPI-2 for trade and transport infrastructure—are used to determine supply chain management process across countries. The results show that carbon damages follow a U-shaped structure with technology-induced LPIs (TI-LPIs) and GDP per capita. The country’s GDP per capita and TI-LPIs decrease carbon damages up to US$15,000,000, while the moderation of patents application (and trademark applications) with LPI1 and LPI2 substantially decreases carbon damages up to US$13,800,000 (US$34,100,000) and US$6,100,000 (US$20,200,000), respectively. The causality estimates confirmed the growth-led carbon damages, technology-led carbon damages, growth-led logistics indices, and technology-led growth across countries. The results emphasized the need to move forward by adopting fuel-efficient technologies to minimize carbon damages across countries. View Full-Text
Keywords: green supply chain management; logistics performance indices; technological factors; carbon damages; economic growth; differenced panel GMM green supply chain management; logistics performance indices; technological factors; carbon damages; economic growth; differenced panel GMM
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MDPI and ACS Style

Anser, M.K.; Khan, M.A.; Awan, U.; Batool, R.; Zaman, K.; Imran, M.; Sasmoko; Indrianti, Y.; Khan, A.; Bakar, Z.A. The Role of Technological Innovation in a Dynamic Model of the Environmental Supply Chain Curve: Evidence from a Panel of 102 Countries. Processes 2020, 8, 1033.

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