This article investigates the impact of five determinants of the green supply chain practices on organizational performance in the context of Pakistan manufacturing firms. A sample of 218 firms was collected from the manufacturing industry. The green supply chain practices were measured through five independent variables including green manufacturing, green purchasing, green information systems, cooperation with customers, and eco-design. By using exploratory factor and simultaneous regression analysis, the results indicate that except green purchasing, rests of the four independent variables have been found statistically significant to predict organizational performance. However, the eco-design of green practices followed by green information systems has revealed the greatest impact on organizational performance. Therefore, the managers of the manufacturing firms should not only implement eco-design in their supply chain but also concentrate on proper monitoring and implementation of green information systems to increase their firms' performance. A main contribution of this research from theoretical side is that it is possible to notice a negative effect of "green purchasing" towards organizational performance particularly in the scenario of Pakistan manufacturing industry. Another valuable result is that green purchasing is an important antecedent of firms economic performance in the US manufacturing firms (Green et al. 2012), although not significantly related to organizational performance in our study. In addition, we also discussed research limitations, areas for future research, and implications for practitioners.

Amid rising environmental concerns, Industry 4.0 and blockchain technology (BCT) are transforming circular economy (CE) practices and prevailing business models. Recognize the same; this study examines the role of blockchain technology in circular CE practices and their impact on eco-environmental performance, which influences organizational performance. The study collects data from 404 enterprises located in Chinese and Pakistani territories, involved in cross-border supply chain operations. Both countries' sample has great relevance due to the China Pakistan Economic Corridor (CPEC), which possesses several positive fallouts in terms of technology spillovers across firms. Using the partial least squares structural equation modeling (PLS-SEM) modeling framework, this study provides three key findings. First, BCT significantly improves the circular economy practices (circular procurement, circular design, recycling, and remanufacturing). Second, CE practices help improve firms'environmental performance and stimulate their financial performance. Third, higher eco-environmental performance significantly boosts organizational performance. This study sets out the foundations for participating countries/firms that simultaneously achieve financial and sustainable goals by integrating blockchain technology in circular economy practices.

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The study aims to examine the potential relationship between public health expenditures, logistics performance indices, renewable energy, and ecological sustainability in Association of Southeast Asian Nations member countries. The study used secondary data, which downloaded from the World Bank website and tested for hypotheses using the structural equation modeling. The results show that the use of renewable energy in logistics operations will improve environmental and economic performance to reduce emissions, whereas environmental performance is negatively correlated with public health expenditures, indicating that greater environmental sustainability can improve human health and economic growth. The results also show that increased public health spending and poor environmental performance undermine economic growth in low efficiency and low labor productivity, thus reducing the speed of economic activity. On the other hand, the use of renewable energy in logistics cannot only improve the sustainability of the environment but also create a better national image and provide better export opportunities in environmentally friendly countries to promote sustainable economic growth. The outcomes of this study will help the policy/decision makers to make the proper planning to their investments for achieving sustainable economic growth.

This panel study investigates the relationship between green logistics indices, economic, environmental, and social factors in the perspective of Asian emerging economies. This study adopted Fully Modified OLS (FMOLS) Model and Dynamic OLS (DOLS) Model methods to test the research hypothesis, catering the problem of endogeneity and serial correlation. The results suggest that logistics operations, particularly LPI2 (efficiency of customs clearance processes), LPI4 (quality of logistics services), and LPI5 (trade and transport‐related infrastructure), are positively and significantly correlated with per capita income, manufacturing value added and trade openness, whereas greater logistics operations are negatively associated with social and environmental problems including, climate change, global warming, carbon emissions, and poisoning atmosphere. In addition, human health is badly affected by heavy smog, acid rainfall, and water pollution. The findings further extend and reveal that political instability, natural disaster, and terrorism are also a primary cause of poor economic growth and environmental sustainability with poor trade and logistics infrastructure. There is very limited empirical work presented in the literature using renewable energy and green ideology to solve macro‐level social and environmental problems, and this study will assist the policy makers and researchers to understand the importance of the green concept in improving countries' social, economic, and environmental performance.

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