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.

The present study was conducted to examine: (a) the relation of positive psychological strengths, i.e., hope, optimism, self-efficacy and resiliency, with subjective well-being, and (b) the role of social support as a moderator of positive psychological strengths and subjective well-being. The following hypotheses were proposed: (a) that positive psychological strengths would be positively related with subjective well-being and social support; (b) social support would moderate the relation of positive psychological strengths with subjective well-being. 116 men and 64 women ( M age = 21.53 yr., SD = 4.99, range = 33) from India participated. Significant positive relationships were found for positive psychological strengths with subjective well-being and with social support network (family, friends, and others). Regression analysis showed social support significantly moderated the relations of positive psychological strengths with subjective well-being.