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Abstract The nature of smart factories to help manufacturing firms reducing environmental emissions has attracted the widespread attention of governments and industries. However, some research also worried that if smart factories were not effectively constructed, they may increase firms’ environmental emissions. To address this concern, we use PSM-progressive DID model to analyze the relationships between the construction of smart factories and environmental emissions, based on 144 Chinese listed manufacturing firms. The main findings are as follow. First, the construction of smart factories can lead to the short-term increase of 7.55% GHG emissions (1.001 tCO2e) and 4.12% air pollutants cost (1.011 $) per $M operation cost for firms. Second, the negative impact of smart factory construction on GHG emissions can be partially explained by physical technologies. Third, mimetic institution (industrial maturity of environment management system) can reduce the negative impact of smart factory construction, but coercive institution (government regulation) and normative institution (social media attention) have no significant moderating effect. With these findings, this study provides a clear understanding of how the construction of smart factories influences firms’ environmental sustainability and accordingly offers insights for business considering environmental objectives in smart factory development.

Summary: Pesticides may help safeguard food security but endanger the local ecosystem and farmer health. The globalization of the food trade is masking such impacts by separating production from consumption, and its effects on pesticide use and their related risks remain unclear. Here, we provide a map of the environmental and health risks associated with pesticide footprints along the soybean trade across 197 countries. We find that approximately 64% of soybeans were traded globally, embodying ∼55% of environmental-health risks linked to ∼108 kt of pesticide use. Notably, trade soybean pesticide footprints and their associated environmental-health risks are concentrated in a few hotspot nations, including the USA, Brazil, and Argentina. About 30 kt of future increase in soybean pesticide use and ∼6% of their related environmental-health risks can be offset by reducing 80% of soybean traded from high-pesticide-use-intensity nations to lower ones. Our results highlight the necessity of rethinking the role of agricultural trade in global pesticide management. Science for society: The widespread use of pesticides in food production systems impacts human, animal, and ecosystem health. Food trade complicates the issue, as it can separate consumption from production, shifting pesticide-related burdens from consumers to producers across regions. However, there is a lack of clarity on pesticide footprints and their associated impacts embodied in the global food trade, impeding sustainable pesticide management. Our research develops an integrated framework to assess nation-specific environmental and health burdens linked to pesticide use along the global soybean trade. Our study identifies a concentrated pattern of embodied soybean pesticide footprints and their related risks, as well as a declining contribution of trade to overall pesticide-related risks. Our findings reveal the potential of trade in reducing environmental-health risks associated with soybean pesticides and underscore the need to rethink the role of agricultural trade in global pesticide management.

Abstract Urban floods are the most severe disaster in most Chinese cities due to rapid urbanisation and climate challenges. Recently, media data analytics has become prominent in enhancing urban flood resilience. In this study, news media data from the GKG of the GDELT project was innovatively used to examine the pattern of news media responses towards urban flooding in China's Sponge City Programme (SCP) pilot cities. We find that public sentiments toward urban flood events have been more positive in SCP pilot cities from 2015 to 2021. News media responses towards urban floods exhibit strong seasonality, which is significantly connected with rainfall patterns. Most of the media articles were posted during the urban flood event. Finally, we suggest the opportunities and challenges in applying GKG data analytics and new technologies for urban flood resilience. The results can provide beneficial references to urban flood management strategies in China's Sponge Cities for associated policymakers and stakeholders.

Reverse logistics has gained increasing attention in recent years as a channel for companies to achieve operational excellence. The process involves manipulation of returned materials, or even products, which forms a pivotal role in sustainable development throughout the whole supply chains. To make reverse logistics possible, process re-engineering may need to be carried out. However, the processes involved in reengineering are practically complicated. Objectives, benefits, and applicability of any process re-engineering require a careful and detailed strategic planning. This paper aims to propose an easy-to-follow step-by-step framework for practitioners to perform process re-engineering, to learn and identify the critical issues in each step, and to be successful in applying process re-engineering in order to enhance reverse logistics performance. A learner-centred approach is adopted based on a case study of process re-engineering, which is demonstrated in the paper for explanation.

Designing environmentally friendly products has become a tighter requirement in the marketplace because of both the increasing trend in awareness of consumers and the obligations from legislation requirements. Unfortunately, this is not a straight forward decision for designers to evaluate whether their design options are satisfactory in terms of balancing various factors (for examples, different forms of environmental assessment) or not. This is partly attributed to the fact that there is no universally accepted approach for conducting such analysis. In this connection, this research makes reference to a European Union (EU) directive as a reference model and makes use of Analytic Hierarchical Process (AHP), which is a useful tool to help designers to make decision, for evaluating eco-design options. The AHP model is developed based on two case studies on consumer electronic products. Pairwise comparisons, one of the key steps in AHP, are conducted with the expertise gained from the case studies and the help from the software package Expert Choice. The paper also reveals how design options can be evaluated, or be screened out. The proposed method does not require the designers to conduct detailed analysis (life-cycle assessment for example) for every new product options and hence can save their time. This is particularly important when they are facing shorter and shorter product life cycle nowadays. First published online: 18 Jun 2014