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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

Muhammad Khalid AnserSchool of Public Administration, Xi’an University of Architecture and Technology, Xi’an 710000, ChinaMuhammad Azhar KhanDepartment of Economics, University of Haripur, Khyber Pakhtunkhwa, Haripur 22620, PakistanUsama AwanIndustrial Engineering and Management, Lappeenranta-Lahti University of Technology LUT, P.O. Box 20, FI-53851 Lappeenranta, FinlandRubeena BatoolGender and Development Studies Department, University of Balochistan, 87550 Quetta, PakistanKhalid ZamanDepartment of Economics, University of Haripur, Khyber Pakhtunkhwa, Haripur 22620, PakistanMuhammad ImranSasmoko SasmokoPrimary Teacher Education Department & Research Interest Group in Education Technology, Faculty of Humanities, Bina Nusantara University, Jakarta 11480, IndonesiaYasinta IndriantiEntrepreneurship Department, Podomoro University, Jakarta 11470, IndonesiaAqeel KhanFaculty of Social Sciences and Humanities, Universiti Teknologi Malaysia (UTM), Johor Bahru 81310, MalaysiaZainudin Abu BakarFaculty of Social Sciences and Humanities, Universiti Teknologi Malaysia (UTM), Skudai, Johor Bahru 81310, Malaysia
2020en
ABI

Аннотация

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.

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