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New inter-national and transnational complexities of economic and political relationships destabilize extant categories and units of analysis for studying trajectories of social change and explaining commonalities and differences of complex inequalities across countries. New insights on gender regime change emerge by shifting from a singular to a multi-scalar analytical frame. The paper argues that complex inequalities cannot be understood by studying a bounded geographic unit of analysis. Toward this end, the paper compares Germany and Japan in a world regional perspective, applying Walby's gender regime theory. Case comparisons of Germany and Japan not only reveal historical pathways of national developments, but also can show the benefits of a multi-scalar analytic in differentiating varieties and futures of gender regimes. An examination of the care economy shows why a multi-scalar analytic is critical for tracking the economic geographies of reproductive/care labor (both paid and unpaid). [ABSTRACT FROM AUTHOR]

Over the last five decades, there have been several phases of interest in the so-called hydrogen economy, stemming from the need for either energy security enhancement or climate change mitigation. None of these phases has been successful in terms of a major market development, mainly due to the lack of cost competitiveness and partially due to technology readiness challenges. Nevertheless, a new phase has begun very recently, which despite holding original objectives has the new motivation to be fully green, i.e. based on renewable energy. This new movement has already initiated bipartisan cooperation of some energy importing countries and those with abundant renewable energy resources and supporting infrastructure. One key challenge in this context is the diversity of pathways for the (national and international) export of non-electricity renewable energy. This poses another challenge, that is the need for an agnostic tool for comparing various supply chain pathways fairly while considering various techno-economic factors such as renewable energy sources, hydrogen production and conversion technologies, transport, and destination markets, along with all associated uncertainties. This paper addresses the above challenge by introducing a probabilistic decision analysis cycle methodology for evaluating various renewable energy supply chain pathways based on the hydrogen vector. The decision support tool is generic and can accommodate any kind of renewable chemical and fuel supply chain option. As a case study, we have investigated eight supply chain options composed of two electrolysers (alkaline and membrane) and four carrier options (compressed hydrogen, liquefied hydrogen, methanol, and ammonia) for export from Australian ports to three destinations in Singapore, Japan, and Germany. The results clearly show the complexity of decision making induced by multiple factors, and that the preferred supply chain combination (electrolyser technology, green energy carrier) in terms of least cost strongly depends on whether the expected levelized cost of hydrogen (ELCOH) or the expected levelized cost of energy (ELCOE) is used as a decision criterion. For instance, with ELCOH for the case study, under the given input parameters, the Ammonia combination with alkaline electrolysers (AE-NH 3) becomes the least-cost supply chain option for Singapore, Japan, and Germany with values of 8.60, 8.78 and 9.63 $/kgH 2 , respectively. This leaves liquid hydrogen (with alkaline electrolysers) as the second-best supply chain route, with ELCOH values of 9.05, 9.39 and 10.70 $/kgH 2 , respectively. However, with ELCOE, methanol (with alkaline electrolysers) becomes the preferred supply chain path for all destinations, and liquid hydrogen (with alkaline electrolysers) keeps its place as the second-best alternative. [ABSTRACT FROM AUTHOR]

• Median peaks of the return stroke current and the ICC fast pulses in this study are 6.4 kA and 3.0 kA, respectively. • Observed parameters do not show much difference from those observed at tall structures considering instrumental effect. • The local conditions do not have much inference on the parameters of the fast pulses as well as the return strokes. • The local conditions such as height of the different charge layer have some influence on the IS of the upward flashes. The authors have carried out measurement of the current waveforms associated with lightning discharges to wind turbines at Nikaho near the coast of the Sea of Japan since 2013. In this paper measured waveforms in winter up to 2020 are investigated and the current waveforms associated with return strokes after the extinction of the ICC (initial continuous current) and fast pulses superimposed on the ICC with the current peak of 2 kA or higher and with the risetimes of 8 µs or shorter are studied. The median current peaks of the 107 return strokes and the 123 fast pulses were 6.4 kA and 3.0 kA, respectively. The observed median current peaks of return strokes and fast pulses at the Nikaho wind turbines (6.4 kA and 3.0 kA) do not show much difference from those observed at the Gaisberg tower (9.2 kA and 4.2 kA), the Säntis tower (8 kA and 3.4 kA) and the Peissenberg tower in Germany (return stroke: 8.5 kA but no report on fast pulses) when the long sampling interval and the low upper cutoff frequency of the measuring system at the Nikaho wind turbines is taken into account. [ABSTRACT FROM AUTHOR]

While Germany and Japan are going through major energy reforms, natural gas consumption is taking a growing share in their energy supply. This paper adopts a Machine Learning approach to assess the causal link between natural gas consumption and economic growth for both economies. A Causal Direction from Dependency (D2C) algorithm with the interconnection of the sub-class is employed using yearly data from 1970 to 2018. The interconnections of the sub-classes are found for both economies, indicating evidence of causalities operating in both directions. In addition, the propagation over the seven eras is linear and homogeneously continue for Japan, while this effect meets a stabilization phase in the fifth era for Germany. The empirical findings claim strong support for the existence of a bidirectional causality between these variables in Germany and Japan, which is in line with the "feedback hypothesis". Although the strength of this bidirectional relationship is clear for both economies, its time-propagation is expected to be longer for Japan. Accordingly, this study claims that the gas supply should be further strengthened to progressively replace the most polluting fuels (oil and coal) and ensure a feasible transition towards a renewable path. • The causal link between natural gas consumption and economic growth exists for both countries. • Predictive analysis highlights a propagation effect between natural gas consumption and economic growth for both economies. • We found empirical sustain for the "feedback hypothesis" for Germany and Japan. [ABSTRACT FROM AUTHOR]