As a decision support tool, life cycle assessment (LCA) is prone to multiple uncertainties associated with the data, model structures, and options offered to practitioners. Therefore, to make the results reliable, consideration of these uncertainties is imperative. Among the various classifications, parameter, scenario, and model uncertainty are widely reported and well-acknowledged uncertainty types in LCA. There are several techniques available to deal with these uncertainties; however, each strategy has its own pros and cons. Furthermore, just a few of the methods have been included in LCA software, which restricts their potential for wider application in LCA research. This paper offers a comprehensive framework that concurrently considers parameter, scenario, and model uncertainty. Moreover, practitioners may select multiple alternatives depending on their needs and available resources. Based on the availability of time, resources, and technical expertise three levels—basic, intermediate, and advanced—are suggested for uncertainty treatment. A qualitative method, including local sensitivity analysis, is part of the basic approach. Monte Carlo sampling and local sensitivity analysis, both of which are accessible in LCA software, are suggested at the intermediate level. Advanced sampling methods (such as Latin hypercube or Quasi-Monte Carlo sampling) with global sensitivity analysis are proposed for the advanced level.

This study endeavored to analyze the progress made to meet the Sustainable Development Goals in terms of resource use, sustainable production and consumption, and the triple planetary crisis (i.e., climate change, biodiversity loss, and pollutant emissions) at the national and regional levels in Asia. The study highlighted that the progress toward sustainable consumption and production is still not sufficient to meet the ambitious national targets. An urgent need for a comprehensive approach to address climate change, biodiversity loss, pollutant emissions, and resource use has been ascertained. China’s greenhouse gas emissions have surged tremendously. India is also endeavoring to decouple emissions from growth via renewable energy. Vulnerable Pakistan seeks emission reduction and financial aid. Indonesia, Thailand, and Vietnam outline emission reduction strategies. Land use change emerges as a key biodiversity loss driver, stressing the need for sustainable land policies and conservation. Material consumption highlights the call for production optimization, circular economies, and innovative technology. Energy’s role in development requires decoupling from growth through efficiency, renewables, and eco-friendly paths. Freshwater needs careful management for sustainability, and international collaboration and policy reform are urged for global water use efficiency. Decoupling trends between growth, resource use, and environmental impact show a complex pattern, with the feasibility of absolute decoupling limited by growth interdependence.

Bagasse-based electricity is gaining attention as an affordable, reliable, sustainable, and promising renewable energy source in Pakistan. Therefore, the focus of this analysis was to identify the environmental burdens associated with bagasse-based electricity production via high-pressure cogeneration. The scope of this study was defined as cradle to gate; involving cane production, cane transportation to the mill, the production of bagasse, and then the burning of bagasse in the cogeneration power plant to produce electricity. The overall results revealed that most of the impacts were contributed by the agricultural phase. For some impact categories—such as global warming, fine particulate matter formation, terrestrial acidification, and fossil resource scarcity—the bagasse-based electricity performed better than the grid mix electricity. However, the grid mix electricity performed better than the bagasse-based electricity in terms of eutrophication, land use, and water consumption. When considering the final damage, the bagasse-based electricity proved to be the favorable option in terms of human health and resource availability; however, ecosystem quality was poor in bagasse-based electricity. In terms of environmental prices, the bagasse-based electricity was found to be a promising option compared to the grid mix electricity.

The development of new bio-based diesel substitutes can improve their compatibility with diesel engines. Nevertheless, for actual implementation, their environmental and economic performance needs to be studied. This study quantified the eco-efficiency of three bio-based diesels, viz., fatty acid methyl ester (FAME), partially hydrogenated FAME (H-FAME), and bio-hydrogenated diesel (BHD), to address the perspective of producers as well as policymakers for implementing the advanced diesel alternatives. The eco-efficiency was assessed as a ratio of life cycle costing as the economic indicator and three different environmental damages—human health, ecosystem quality, and resource availability. The eco-efficiency of FAME was the most favorable among all the potential substitutes with regard to human health and ecosystem quality, but the least favorable for resource availability impact. Even though BHD was beneficial in terms of life cycle costing, it was the least preferable when considering human health and ecosystem quality, though it performed the best for resource availability. H-FAME was also promising, in line with FAME. It is suggested that the technologies for BHD production should be improved, especially the catalyst used, which contributed greatly to environmental impacts and costs.