Measuring progress towards net zero

Achieving equilibrium between greenhouse gas (GHG) emissions discharged into the atmosphere and those eliminated by natural sinks like forests, oceans and soils is known as ‘net zero’ [1]. Essentially, net zero is achieved when removal methods fully offset anthropogenic (human-induced) GHG emissions, so that there is no net increase in atmospheric concentrations. Ensuring that emissions from human activity are offset by an equal amount of GHG removal or sequestration is the primary goal of net-zero methods. Carbon dioxide has become the main focus of most mitigation programmes and policy frameworks since it is the most important and controllable contributor to GHG emissions [1,2]. The accord also emphasised the importance of incorporating sustainability, fairness, and poverty alleviation into climate action plans to reduce GHG emissions (United Nations Environment Programme, 2015) [3]. Countries must balance their efforts to remove GHGs from the atmosphere with their GHG emissions to reach net zero. Afforestation, sustainable farming methods, and technological advancements that enhance carbon absorption are crucial mitigation techniques. If nothing is done, carbon dioxide and other GHGs will remain in the atmosphere for a long time, causing global warming. Thus, until net zero is achieved, consistent emission reductions are necessary. Restoring climatic equilibrium and reducing the negative impacts of the industrial age's increase in man-made emissions, which outstripped the planet’s natural carbon sinks, are the main objectives [4]. Since the energy sector accounts for most global emissions, several technologies have been investigated and implemented to lower GHG emissions. Although renewable energy sources, including solar and wind, are growing, several obstacles still hinder their widespread adoption. More research is necessary for these technologies to become more affordable and widely available. Even though many nations have set carbon-reduction targets for around 2050, reliable tools are still needed to monitor and assess progress toward these targets. To establish targeted measures to reduce the agriculture sector’s overall environmental impact, further research is needed to identify the primary sources of GHG emissions [5]. Countries can create jobs in fields such as reforestation, renewable energy generation (including wind and solar), GHG-emission-reduction technologies, and sectors that track progress towards net-zero targets as part of their efforts to achieve net-zero emissions. According to estimates, the sector may create up to 15 million new jobs by 2030 through changes in farming methods, advancements in animal husbandry, the adoption of clean energy technologies, and the use of several innovations to reduce GHG emissions [6]. Measuring GHG emissions is another crucial area nations must focus on to meet their net-zero emissions targets. Due to imprecise measurements of carbon emissions, it is difficult to evaluate the success of mitigation initiatives in many regions of the world. Better monitoring and assessment could enhance progress tracking and help develop more effective emission-reduction plans. An in-depth review of the literature reveals significant progress in defining net-zero targets, developing GHG-reduction metrics, and implementing energy-efficiency interventions across numerous sectors. Several global and national systems, including the GHG Protocol, the International Organisation for Standardisation (ISO) 14064, and the science-based targets initiative (SBTi), have provided the foundation for accounting for emissions. At the same time, sectoral tools and case studies have demonstrated practical applications in the energy, transport, and industrial sectors. Yet critical research gaps remain in aligning measurement standards at the regional level, incorporating real- time data verification methods, and assessing the consistency of performance across hard-to-abate sectors. In addition, existing literature tends to disconnect technical solutions from comprehensive policy integration and lacks a unified cross-sectoral strategy for tracking progress. This chapter builds on earlier research by discussing the interlinkages among emissions monitoring devices, data analysis, standardisation frameworks, and policy feedback loops within an integrative framework. This chapter aims to discuss markers, models, and verification systems used to track progress toward net zero, their limitations, and propose integrative measures. It also evaluates how these mechanisms can be incorporated into regulatory and compliance systems to ensure transparency and accountability. The scope spans global, national, and sectoral levels, addressing both quantitative measures and qualitative models. The novelty of this research lies in its integration of emerging technologies (e.g., the Internet of Things [IoT] and AI-driven verification), dynamic modelling techniques, and real-world policy deployments to effectively create a scalable, responsive framework for tracking net-zero progress and bridging the theoretical-practical gap across geographies and industries.