Sustainable consumption and production

Sustainable consumption and production (SCP) is at the core of the United Nations Sustainable Development Goals (SDGs), specifically addressed by SDG 12. This goal aims to "ensure sustainable consumption and production patterns," acting as a cross-cutting theme that feeds into other SDGs such as those related to climate change, poverty, health, and sustainable cities.

SCP involves using services and products in a way that minimizes environmental damage, preserves natural resources, and promotes social equity. The purpose is to decouple economic growth from environmental degradation, which means pursuing economic development in a way that can be sustained by the planet over the long term. SCP requires changes at all levels of society, from individuals to businesses to governments.

At the individual level, SCP implies making lifestyle choices that reduce environmental impact. This might include reducing, reusing, and recycling waste, choosing products with less packaging, and opting for more sustainable forms of transport like cycling or public transport.

For businesses, SCP entails adopting sustainable business models and practices. This could include improving resource efficiency, investing in renewable energy, designing products that are durable and recyclable, and ensuring fair labor practices.

At the government level, SCP involves implementing policies that support sustainable business practices and incentivize sustainable consumer behavior. This might involve regulations to reduce pollution, subsidies for renewable energy, and campaigns to raise awareness about sustainable consumption.

SCP also plays a role in several other SDGs. For example, sustainable production practices can help mitigate climate change (SDG 13) by reducing greenhouse gas emissions. Additionally, by reducing the pressure on natural resources, SCP supports the goals related to life below water (SDG 14) and life on land (SDG 15).

While progress has been made in certain areas, challenges remain in achieving the shift towards SCP. These include existing patterns of overconsumption, limited awareness about the impacts of consumption, and the need for technological innovation to enable more sustainable production.

The latest price movement in the European carbon markets (EU ETS) has reached its all-time high of €40/tonne, which demonstrates how much uncertainty is currently present in the market. Contributing to SDGs 12 and 13, this white paper provides scenario-based impact analysis of the market stability reserve in the context of the EU ETS review.
Elsevier,

Materials and the Environment (Third Edition): Chapter 2 - Resource consumption and its drivers, Volume , 2021.

This book chapter advances SDG 12 by summarizing the orders of magnitude of the flow of materials, energy and water that material production entails.
Elsevier,

Materials and the Environment, Third Edition: Chapter 11 - Renewable materials, natural materials, Volume , 2021

This book chapter advances SDGs 9 and 12 by exploring whether renewable materials, derived wholly or in part from nature, can play a larger role in the engineering economy of the 21st century.
Elsevier,

Hybrid Nuclear Energy Systems, A Sustainable Solution for the 21st Century, Hybrid Energy Systems, 2021, Pages 23-41

This book chapter advances SDG 7 and 11 by discussing the uses of hybrid energy systems, contrasting and ranking the application capabilities of major reactor and power plant types.
Elsevier,

American Journal of Clinical Nutrition, Volume 113, 1 January 2021

In this special article, the authors call for nutrition scientists to collaborate with other sectors, disciplines, and experts to develop a more nuanced understanding of how specific shifts in food systems can have broad impacts on sustainability and to bring about food policy changes in the era of climate disruption and environmental degradation.
Elsevier,

Food, Medical, and Environmental Applications of Polysaccharides, 2021, Pages 381-400

This chapter advances SDGs 3 and 11 by covering the latest advances in biosensors, which play an innovative role in biomedical applications and improving healthcare. Additionally, the focus is on biosensors derived from natural polysaccharides, i.e. sustainable, bio-based materials.
The consumption of meat contributes significantly to undesirable effects on the environment. In order to reduce the impact of animal husbandry, one approach is to decrease meat consumption by substituting plant-based meat alternatives. Because the consumption of such meat alternatives is currently rather low, the aim of this research was to identify the barriers that keep people from consuming meat alternatives and increase the probability of future consumption.
Elsevier, Agriculture, Ecosystems and Environment, Volume 305, 1 January 2021
Critical knowledge gaps about environmental fate and unintentional effects of currently used pesticides (CUPs) hamper the understanding and mitigation of their global impacts on ecological processes. We investigated the exposure of earthworms to 31 multiclass CUPs in an arable landscape in France. We highlighted the presence of at least one pesticide in all soils (n = 180) and 92 % of earthworms (n = 155) both in treated crops and nontreated habitats (hedgerows, grasslands, and cereals under organic farming).
This study was conducted to assess the self-reported and observed food safety practices (FSP) of food handlers, who deliver food products that are prepared and cooked at home during the COVID-19 pandemic in the Philippines. 751 participated in the online survey who were selected using criterion sampling. A questionnaire developed by the researcher was used to gather data with Cronbach Alpha of 0.91. t-test, ANOVA, and Fleiss kappa were performed to treat data.
Non-destructive testing techniques have gained importance in monitoring food quality over the years. Hyperspectral imaging is one of the important non-destructive quality testing techniques which provides both spatial and spectral information. Advancement in machine learning techniques for rapid analysis with higher classification accuracy have improved the potential of using this technique for food applications. This paper provides an overview of the application of different machine learning techniques in analysis of hyperspectral images for determination of food quality.

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