Explore the vast range of titles available.

In its 2023 Climate Doctrine, Russia officially committed to carbon neutrality before 2060. However, on the roadmap fork to climate neutrality Russia’s Low Carbon Strategy chose the 2F (Forest First) pathway with the dominance of the natural solutions in the LULUCF sector and with a moderate decline or even growth (industry and agriculture) in other sectors. This paper focuses on a discussion of the roadmap to carbon neutrality. The roadmapping approach relies on a system of interconnected models for setting the scale of low carbon technologies and practices deployment. The paper concludes that excessive reliance on the 2F pathway is unrealistic, and only the Forest Last family of scenarios, which focuses on substantial reduction of GHG emissions across all sectors, is able to bring Russia to carbon neutrality in 2060. The paper also presents indicators to assess emission reductions by major sectors and discusses the need to reinforce the five pillars to support this pathway: technologies; regulations and programmes; incentives and financing; institutes; and human capital. These five pillars are required to effectively address three basic models of decisions-making (satisficing, optimization, and system transformation).

Global greenhouse gas (GHG) emissions can be traced to five economic sectors: energy, industry, buildings, transport and AFOLU (agriculture, forestry and other land uses). In this topical review, we synthesise the literature to explain recent trends in global and regional emissions in each of these sectors. To contextualise our review, we present estimates of GHG emissions trends by sector from 1990 to 2018, describing the major sources of emissions growth, stability and decline across ten global regions. Overall, the literature and data emphasise that progress towards reducing GHG emissions has been limited. The prominent global pattern is a continuation of underlying drivers with few signs of emerging limits to demand, nor of a deep shift towards the delivery of low and zero carbon services across sectors. We observe a moderate decarbonisation of energy systems in Europe and North America, driven by fuel switching and the increasing penetration of renewables. By contrast, in rapidly industrialising regions, fossil-based energy systems have continuously expanded, only very recently slowing down in their growth. Strong demand for materials, floor area, energy services and travel have driven emissions growth in the industry, buildings and transport sectors, particularly in Eastern Asia, Southern Asia and South-East Asia. An expansion of agriculture into carbon-dense tropical forest areas has driven recent increases in AFOLU emissions in Latin America, South-East Asia and Africa. Identifying, understanding, and tackling the most persistent and climate-damaging trends across sectors is a fundamental concern for research and policy as humanity treads deeper into the Anthropocene.

This paper explores the interaction between the energy costs/GDP ratio, energy prices, energy efficiency, “quality of energy’’, and economic growth. The relationships between the first three were formulated by the author back in 2007 in the form of three laws of energy transitions. The paper provides additional empirical evidence and theoretical support to these laws and looks into their implications for economic growth and climate mitigation policies. It argues for launching effective energy costs accounting at the national level to support such policies. It also argues that escalation of energy prices driven only by the growing share of higher quality energy resources does not impede, but stimulates economic growth. The paper shows, that improving energy efficiency results in the removal of the ‘limits of growth’ – affordability, resource and environmental limitations; but as it faces the ‘limits of change’, the trade-off between maximizing economic growth and minimizing GHG emissions is inevitable.

The main disadvantages of using soybean oil extraction waste as a raw feed material are its high contents of fiber, fat, and anti-nutritional factors. Therefore, several processing methods such as extrusion and hydrolysis are used to overcome these disadvantages and increase the availability of high-quality proteins to animals from this by-product. This study is concerned with the hydrolysis of extruded soybean meal in the presence of bacterial alkaline proteases. The effects of various process parameters were investigated to determine the optimal process parameters for hydrolysis in terms of the total free amino acid and amine nitrogen contents. The experiment included two sets of parameters that were selected for comparison: the temperature and pH in ranges of t 45–50 °C, pH 8–11, compared to the temperature and pH ranges of t = 40–45 °C and pH 7–9, using three enzyme/substrate ratios (1:10, 1:20, and 1:30). The protein hydrolysate was stored for three months after it was treated with two different preservatives (sorbic acid and thymol). Based on the results, it was found that the total free amino acid content was higher when the temperature range was 45–50 °C, the pH range was 8–11, and sorbic acid was used as a preservative.

Analyzing agro-climatic conditions for the period of 1981–2020 has revealed a tendency for local climate warming under the condition of its aridization in the territory of the Central region of the Russian Non-Chernozem zone, and the new northern borders for soybean growing in the region have been marked. The isotherm of the sum of active temperatures has been established to have shifted towards high latitudes by 150–200 km. The values of the sum of active temperatures have increased from 1700–2200 °C to 1950–2400 °C, while the amount of precipitation during the growing season has decreased by 20–40 mm on average, from 270–280 mm to 190–230 mm. Three agro-climatic subzones—northern (NAS), central (CAS) and southern (SAS)—have been identified, each characterized by similar temperature and humidity conditions during the growing season. Thus, in the northern agro-climatic subzone, the sum of temperatures during the growing season is 2000–2200 °C, the HTC (hydrothermal coefficient) is 1.4–1.7, and the sum of precipitation is 285–295 mm; in the central subzone, the sum of temperatures is 2200–2400 °C, the HTC is 1.1–1.4, and the sum of precipitation is 265–285 mm; in the southern one, the sum of temperatures is 2400–2600 °C, the HTC is 0.7–1.1, and the sum of precipitation is 255–265 mm. Along with the northern ecotype varieties recommended for this zone, the vegetation features of early maturing soybean varieties of other ecological types—southern and Far Eastern—were studied. As a result of the agro-ecological analysis of early maturing soybean varieties, it has been found that the soybeans belonging to the group of very early or early maturing with a determinant type of growth are recommended for cultivation in the northern agro-climatic subzone of the Central region of the Non-Chernozem zone; the soybean varieties belonging to the group of very early or early maturing with a determinant or semi-determinant type of growth—in the central zone; the soybean varieties belonging to the group of very early or early maturing with a determinant, semi-determinant, and indeterminant type of growth—in the southern zone. Considering the variety characteristics and the agro-ecological tests conducted, it has been found that the northern ecotype varieties can sustainably ripen in all agro-climatic subzones in the Central region of the Non-Chernozem zone, the southern and the Far Eastern varieties—in the central and the southern zones.

This corrigendum resolves an error in figure 17 and clarifies the scope of the cement sector in figure 2. Figure 17 in the original published manuscript depicts a Kaya identity for the agriculture, forestry and other land uses (AFOLU) sector. We unintentionally excluded land-use CO2 emissions from total greenhouse gas (GHG) emissions in this identity, and depicted only agricultural GHG emissions.

This paper elaborates on the energy costs/income constants and the 'minus one' phenomenon. Like a pendulum driven by some economic 'gravitation', energy costs to income ratio tends to get back to the narrow zone of sustainable dynamics. The 'gravitation formula' is as follows: for 25-33-years' cycles real energy prices may grow only as much as energy intensity declines. This appears a most important relationship in energy economics. Energy affordability thresholds are identified in all major final energy use sectors. The aggregated economy-wide threshold is a linear combination of those and shows cyclic evolution for decades or even centuries within a sustainable 4-6% range as a fraction of gross output and 8-12% range as a fraction of GDP. These ranges may drift slightly up or down, driven by the economy structure evolution impacted by the role of industrial and services sectors and embodied energy outsourcing. The energy cost share reaches its maximum, when further price increase cannot generate any additional revenue for energy supplier, and it reaches a minimum when price decline undermines the ability of energy suppliers to meet growing demand. The overall energy price elasticity is a weighted sum of price elasticities specific for each group which by the absolute value positively depend on the share of energy costs. This effect makes price elasticities asymmetric. Carbon pricing trap poses restrictions on the magnitude and dynamics of carbon price keeping energy affordable and preventing global economy from stagnation.

This paper presents a newly developed Russian energy efficiency and energy-related GHG emission accounting system (EE-EGHG-AS) and discusses the results obtained. This system is designed to account for the energy efficiency progress as achieved in 12 sectors and 80 economic activities and to capture the impacts of 7 factors with a focus on the technological factor. It helped to reveal that in 2015–2021, the technological factor contributed to the 4.3% decline in GDP energy intensity (whereas the traditionally estimated GDP energy intensity was 3.6% up). If non-energy use is excluded, then energy intensity was 2.8% down, which brings the 2021 energy intensity level 15% below the traditional estimates. For some activities, the EE-EGHG-AS has demonstrated a limited ability to adequately assess the contribution made by the technological factor to crashing into, and recovering from, COVID-19-like crises, because the statistically reported data is scarce. With little progress towards energy efficiency improvements Russia is still one of the most energy-intensive countries in the world. Little progress in energy efficiency over the recent years has created the “super-coupling” effect for Russia in 2020–2021 and it is extremely challenging to attain the country’s carbon neutrality target by 2060.

Decision-makers want to be reliably advised on the implications of the decisions they make. Very sophisticated models, which decision-makers are often unfamiliar with, are typically used to provide such assessments for large and complex systems. However, even having access to these models, decision-makers can rarely handle them. A model is best known to its developers, who, therefore, need to be contracted to estimate the effects of the proposed policies. This takes time and money, yet leaves the credibility of the results questionable in countries with a limited culture of cooperation between decision-makers and a modeling community. One possible, yet partial, solution is to use an ensemble of models. Another option is to use a set of compact meta-models to address specific policies and measures; the parameters of such compact models can be assessed using other, large and complex, models. Decision-makers can run these simple compact models on their own to make policy dialogue more operational and to have more confidence in the results. This paper presents one such model, which consists of 95 compact sub-models designed to outline comprehensive energy efficiency programs, along with the results of its pilot application for an illustrative set of policies. This application has shown, that such models may serve as an effective tool for a prompt policy dialogue with all stakeholders in compiling the policy package to untap the most of the available energy efficiency potential to meet sector-specific or economy-wide goals in terms of energy savings or energy intensity reduction.

This paper was developed to evaluate the effectiveness of energy efficiency policies recently launched in the Russian Federation. Pilot applications in 2011–2013 of the energy efficiency and energy savings accounting system in Russia and energy consumption growth decomposition analysis developed in this paper have shown that (1) its creation is possible even when using a noncomprehensive statistical database; (2) its application provides nontrivial results and shows that the impressive GDP energy intensity decline in the period 2000–2012 was mostly (to 64 %) driven by structural and other factors with limited contribution of technological ones failing to bridge the technological gap with advanced economies. Facing slowing economic growth in years to come, the federal policy to improve energy efficiency is to be focused on providing incentives for more dynamic penetration of energy-efficient technologies to improve the Russian economy, competitiveness, and energy security.