Explore the vast range of titles available.

Changes in global development benchmarks, the gradual depletion of natural resources, as well as global climatic changes are forcing economic actors around the world to look for alternative methods of energy production. The transition to them can be difficult due to the high cost of the produced energy and pressure from states and corporations specializing in the extraction of classical energy sources. The article is devoted to the study of the transition to renewable energy. The article uses a statistical analysis of indicators and makes a conclusion about the relationship between development trends. It is clear with a fair amount of confidence that the positive dynamics of the renewable energy market is leading to changes in the energy market in the USA, Europe and some other parts of the world.

The energy consumption of the developing countries such as Brazil, Russia, India, China and South Africa (BRICS) continues to rise as the economic growth increases. The aim of this study was to analyze the effect of the consumption of the fossil fuels (coal, petroleum, and natural gas) and the renewable energy to the economic growth in the five BRICS countries. The analysis tool used was multiple linear regression using Fixed Effect Model (FEM) Method and panel data on time series from 1995 to 2014.The results showed that the consumption of fossil energy, especially coal energy, positively and significantly affects the economic growth in the BRICS countries. However the renewable energy consumption a negatively affects the economic growth in the BRICS countries.

This report addresses carbon labeling schemes, a high-profile issue and one that has important economic implications for developing countries. Carbon accounting and labeling instruments are designed to present information on greenhouse gas emissions (GHG) from supply chains. These instruments have become an important awareness-raising channel for governments, producers, retailers and consumers to bring about the reduction of GHGs. At the same time, they have emerged as a crucial element of supply chain management, trade logistics and, potentially, trade regulations between countries. But the underlying science of GHG emissions is only partially developed. Many of these schemes are based on rudimentary knowledge of GHG emissions and have mainly been designed by industrialized countries. There is a concern that these systems do not accurately reflect production processes in developing countries, and that they may even shift consumer preferences away from developing country exports. The report includes an analysis of current and emerging carbon labeling schemes and an assessment of available data, emissions factors and knowledge gaps of carbon footprinting methodologies. The report also analyzes carbon accounting methodologies for sugar and pineapple products from Zambia and Mauritius according to PAS 2050 guidelines, to illustrate whether these schemes accurately represent the production systems in developing countries. The report concludes with a series of recommendations on how carbon footprint labeling can be made more development-friendly

Carbon accounting and labeling are new instruments of supply chain management and, in some cases, of regulation that may affect trade from developing counties. These instruments are used to analyze and present information on greenhouse gas (GHG) emissions from supply chains with the hope that they will help bring about reductions of GHGs. The designers of these schemes are caught in a dilemma: on one hand they have to respond to policy and corporate agendas to create new ways of responding to climate change challenges, while on the other they rely on very rudimentary knowledge about the actual GHG emissions emanating from the varied production systems that occur around the globe. This is because the underlying science of GHG emissions from agricultural systems is only partially developed; this is particularly true for supply chains that include activities in developing countries (Edwards-Jones et al., 2009). As a result of the pressures placed on designers and users of carbon accounting and labeling instruments, who are predominantly based in industrialized countries, there is a risk that carbon accounting and labeling instruments will not adequately represent production systems in developing countries. This report seeks to examine the potential for emerging carbon accounting and labeling schemes to accurately represent the production systems in developing countries. In order to achieve this it includes analyses of typical problems that may occur if the characteristics of developing countries' production systems are not taken into account properly. By doing this, the report provides relevant and necessary scientific data that illustrate potential problem areas that, if not addressed, may lead to developing-country carbon efficiencies not being given proper credit.

Attaining Sustainable Development Goals (SDGs) is important to control the adverse impacts of climate change and achieve sustainable development. Among the 17 SDGs, target 13 emphasizes enhancing urgent actions to combat climate-related changes. This target is also dependent on target 7, which advocates enhancing access to cheap alternative sustainable energy. To accomplish these targets, it is vital to curb the transport CO 2 emissions (TCO 2 ) which increased by approximately 80% from 1990 to 2019. Thus, this study assesses the role of transport renewable energy consumption (TRN) in TCO 2 by taking into consideration transport fossil fuel consumption (TTF) and road infrastructure (RF) from 1970 to 2019 for the United States (US) with the intention to suggest some suitable mitigation policies. Also, this study assessed the presence of transport environmental Kuznets curve (EKC) to assess the direction of transport-induced growth. The study used the Bayer-Hanck cointegration test which utilizes four different cointegration techniques to decide cointegration along with the Gradual Shift causality test which considers structural shift and fractional integration in time series data. The long-run findings of the Dynamic Ordinary Least Squares (DOLS) test, which counters endogeneity and serial correlation, revealed that the transport renewable energy use mitigates as well as Granger causes TCO 2 . However, transport fossil fuel usage and road infrastructure enhance TCO 2 . Surprisingly, the transport EKC is invalid in the case of the US, and increased growth levels are harmful to the environment. The association between TCO 2 and economic growth is similar to a U-shaped curve. The Spectral Causality test revealed the growth hypothesis regarding transport fossil fuel use and economic growth connection, which suggests that policymakers should be cautious while decreasing the usage of transport fossil fuels because it may hamper economic progress. These findings call for revisiting growth strategies and increasing green energy utilization in the transport sector to mitigate transport emissions.

This report summarizes the findings of an extensive literature survey of the experiences of implementing BEECs in developed countries. It also includes case studies of four developing countries- China, Egypt, India, and Mexico and the state of California in the United States of America. It aims to inform both the World Bank Group and its client countries about global best practices and emerging lessons from developing countries in the design and implementation of BEECs. The report also serves as a primer on the basic features of BEECs and the commonly adopted compliance and enforcement approaches. The key challenges to improving compliance enforcement in developing countries include the level of government commitment to energy efficiency, the effectiveness of government oversight of the construction sector, the compliance capacity of domestic/local building supply chain, and the financing constraints. These challenges are surmountable in countries where economic growth is sustained and energy efficiency is pursued as a key element of national energy strategy.

The relationship between energy technology R&D and energy consumption has remained an unsettled empirical issue. This study investigates whether accumulative energy technology R&D investments have contributed to decreases in final energy and fossil fuel consumption in 19 OECD countries over the period 1975–2020. We ask whether an increase in energy technology R&D stocks has contributed to decreases in final energy and fossil fuel consumption and hence may effect energy savings. Methodologically, we treat the accumulation and depreciation of energy technology R&D investments as R&D stocks, and we use state-of-the-art estimation methods for dealing with cross-sectional dependence, nonstationarity, heterogeneity and time-varying coefficients that often plague panel-time-series models. Across our heterogeneous dynamic models, we find those estimators that properly account for cross-sectional dependence yield negative and significant coefficients on energy technology R&D stocks. Our time-varying estimates on energy technology R&D stocks confirm the above findings and feature two turning points—i.e., the 1979 oil shock, the Fukushima accident—in effecting energy savings. These two turning points provide strong evidence that the sample countries are subject to common shocks. The evidence we present supports the environmental sustainability orientated view that energy technology R&D is playing a prominent role in making energy savings.

PurposeIn this paper, the authors investigate that the increasing level of fossil fuel combustion in the industrial sector has been considered the prime cause for the emissions of greenhouse gas. Meanwhile, the research focusing on the impact of fossil fuel consumption on the emission of CO2 is limited for the developing countries containing Vietnam. This study applied the autoregressive distributed lag (ARDL) approach with structural breaks presence, and the Bayer–Hanck combined cointegration method to observe the rationality of the environmental Kuznets curve (EKC) hypothesis in the dynamic relationship between the industrialization and carbon dioxide (CO2) emission in Vietnam, capturing the role of foreign direct investment (FDI) inflows and the fossil fuel consumption over the period of 1975–2019. The outcomes revealed the confirmation of cointegration among the variables and both short and long-run regression parameters indicated the evidence for the presence of a U-shaped association between the level of industrial growth and CO2 emission that is further confirmed by employing the Lind and Mehlum U-test for robustness purpose. The results of Granger causality discovered a unidirectional causality from FDI and fossil fuel consumption to CO2 emission in the short run. For the policy points, this study suggests the use of efficient and low carbon-emitting technologies.Design/methodology/approachIn order to test for consistency and robustness of the cointegration analysis, this study also applied the ARDL bound testing method to find out long-run association among variables with the existence of the structural break in the dataset. The ARDL method was preferred to other traditional cointegration models; because of the smaller dataset, the results obtained from the ARDL method are efficient and consistent and equally appropriate for I(1) and I(0) variables.FindingsThe short-run and long-run causal associations among variables have been observed by employing the error correction term (ECT) augmented Granger-causality test that revealed the presence of the long-run causality among variables only when the CO2 emission is employed as a dependent variable. The outcomes for short-run causality indicated the presence of unidirectional causality between consumption of fossil fuel and CO2 emission, where the fossil fuel consumptions Granger-cause CO2 emission. Industrial growth has also been found to have an impact on fossil fuel consumptions, however not the opposite. This advocates that the policies aimed at reducing the fossil fuel consumptions would not be harmful to industrial growth as other energy efficient and cleaner technology could be implemented by the firms to substitute the fossil fuel usage.Originality/valueThe study explored the dynamic relationship among FDI, consumption of fossil fuel, industrial growth and the CO2 emission in Vietnam for the time period 1975–2019. The newly established Bayer–Hanck joint cointegration method and the ARDL bound testing were employed by taking into account the structural breaks in the dataset.

Purpose Non-fossil fuels are receiving increasing attention within the context of addressing global climate challenges. Based on a review of non-fossil fuel consumption in major countries worldwide from 1985 to 2015, the purpose of this paper is to analyze trends for global non-fossil fuel consumption, share of fuel consumption and inequality. Design/methodology/approach The similarities were obtained between the logarithmic mean divisia index and the mean-rate-of-change index decomposition analysis methods, and a method was proposed for complete decomposition of the incremental Gini coefficient. Findings Empirical analysis showed that: global non-fossil fuel consumption accounts for a small share of the total energy consumption, but presents an increasing trend; the level of global non-fossil fuel consumption inequality is high but has gradually declined, which is mainly attributed to the concentration effect; inequality in global non-fossil fuel consumption is mainly due to the difference between nuclear power and hydropower consumption, but the contributions of nuclear power and hydropower to per capita non-fossil fuel consumption are declining; and population has the greatest influence on global non-fossil fuel consumption during the sampling period. Originality/value The main contribution of this study is its analysis of global non-fossil fuel consumption trends, disparities and driving factors. In addition, a general formula for complete index decomposition is proposed and the incremental Gini coefficient is wholly decomposed.

In order to fulfill the commitment of China to achieve carbon peak by 2030 and carbon neutrality by 2060, all industries have been taking their respective carbon reduction actions. The transportation industry accounts for 11% of CO2 emission of the whole society, and its energy conservation and carbon reduction benefit is of great significance to the national carbon reduction process. New energy vehicles are undoubtedly one of the most important means of carbon emission reduction in the transportation sector. However, electric vehicles still have CO2 emissions, as the fossil fuel use comes from upstream power. To systematically and comprehensively evaluate the CO2 emissions of HEV, PHEV and BEV in the whole process, this study introduces the life-cycle method to research on the past and current situations, and predict future scenarios for ICEV and EV light-duty vehicles at the national and regional levels, by deeply analyzing the generation mix and generating efficiency from the WTT stage, and fuel economy from the TTW stage. The study shows that compared with ICEV, HEV and PHEV could reduce around 30% of CO2 emissions. Currently, BEV could reduce 37% of CO2 emission in the region where the proportion of coal-fired power is high, and 90% of CO2 emission in the region where the proportion of hydro power is high. This study discusses the impact of the proportion of renewable energy application on the carbon emissions from electric vehicles, analyzes the environmental benefits of promoting electric vehicles in different regions, and lays a foundation for the promotion strategy of electric vehicles for different regions in the future.