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Industrial production is currently the main source of global carbon emissions. There are obvious differences in regional carbon emission efficiencies ( CEE ) at different industrial stages. We investigate CEE and explore its factors in mainland China at different industrialization stages from 2008-2020 using the super-SBM model with an undesirable output and the STIRPAT model. There is significant spatial heterogeneity in regional CEE , with gaps gradually widening. CEE 's spatial heterogeneity in mid-industrialized provinces is narrowing, while in late-industrialized and post-industrialized provinces, it is widening. CEE 's factors also differ in provinces at different industrialization stages. At the mid-industrialization stage, the industrial structure ( IS ) is the dominant factor, while population urbanization ( PU ) is dominant at the late-industrialization stage, and both PU and IS are dominant at the post-industrialization stage. Based on CEE 's characteristics at different industrialization stages, we propose suggestions for green development.

Exploring the impact of economic modernization on carbon balance is an essential endeavor to achieve carbon neutrality and combat climate change. However, the spatial impact of economic modernization on carbon balance remains ambiguous. Therefore, this study aims to explore the spatial spillover effects of agricultural modernization, industrialization, and urbanization on carbon balance during the economic modernization process in China, taking 30 provinces and cities in China as examples from 2010 to 2021. This study utilizes the spatial Durbin model to derive the following results: In the past decade, the carbon balance ratio has shown a fluctuating and decreasing dynamic evolution trend. There is an increase in regions with serious carbon deficits. Further investigation into the spatial spillover effect of carbon balance unveils that for every 1% increase in the carbon balance ratio of a province, neighboring provinces experience a decrease of 0.833%. Additionally, the spatial spillover effects of the three modernizations in China on the carbon balance ratio behave differently. Agricultural modernization and urbanization demonstrate negative spatial spillover effects on the carbon balance in neighboring regions, while industrialization exerts a significant positive spatial spillover effect on the carbon balance of neighboring regions. Regarding control variables, the level of innovation solely contributes to local carbon balance realization without generating a trickle-down effect, whereas infrastructure development operates inversely. At the same time, there are differences in the spatial effects of agricultural modernization and industrialization on the carbon balance between the eastern region and the central and western regions. The study underscores the importance of economic modernization and development processes focusing on fostering synergistic growth between economic and environmental benefits within both local and neighboring areas. [ABSTRACT FROM AUTHOR]

China's industrial sector generally relies on electricity as its main source of energy, and industrial production can be affected if there are problems with the electricity supply. In order to deal with the uncertain electricity supply and achieve the "dual carbon" target, the industrial sector needs to take effective measures to enhance carbon total factor productivity (CTFP). We use the biennial Luenberger productivity index (BLPI) to try to provide strategies for low-carbon industrial development in China. The results indicate that the overall CTFP of China's industrial sector showed an increasing trend from 2006 to 2019. Technology change was the main contributor to the change in CTFP, but fluctuations in efficiency change remained a challenge. Differences were observed between the light industry sector (LIS) and the heavy industry sector (HIS) in terms of changes in CTFP, with LIS showing more stable changes and HIS experiencing larger fluctuations. Most sub-sectors showed increased CTFP during the sample period. R&D investment and R&D personnel have a positive impact on CTFP, while energy structure is found to hinder CTFP. According to the research results of this study, we offer the corresponding policy implications. This study is the first to explore the balance between low-carbon goals and industrial production from the perspective of improving CTFP, providing a new viewpoint on the contributions of technological innovation to solving socio-economic issues. [ABSTRACT FROM AUTHOR]

In less than a decade, Perovskite solar cell (PSC) technology has gained high efficiency and broad attention because of its key enabling physical and morphological features. One of the main obstacles to PSC industrialization and commercialization is managed with the demonstration of stable devices by adopting low-cost, reliable materials and fabrication process methods. Here, we report a Perovskite solar module based on a low-temperature carbon electrode. The full process was performed in ambient air and engineered by printing techniques. [ABSTRACT FROM AUTHOR]

In this research, environmental impacts associated with the harvest and processing of pineapple (fresh-packed, in syrup, and dehydrated) were determined using the life cycle assessment (LCA) tool and specialized software SimaPro® (version 8.4), according to ISO14040:2006 and ISO14044:2006 standards. The information used to develop inventory included field interviews and industrial visits within the study area. The functional unit was defined as one kilogram of fruit. The selected impact categories were carbon footprint, water footprint, and energy footprint; the results obtained for the agronomic stage were 0.47 kg CO2 eq (equivalent), 78 L of water, and 9.09 MJ, respectively. The growth stage of the pineapple plant was found to be the one that generates greatest environmental impacts for all three categories. For packaged fruit, 0.58 kg CO2 eq, 82 L of water, and 11.03 MJ were quantified; for pineapples in syrup it was 1.12 kg CO2 eq, 103 L of water, and 19.28 MJ; and for dehydrated fruit, it was 5.12 kg CO2 eq, 782 L of water and 97.04 MJ. This concludes that the most significant environmental impact occurred in all cases during the pineapple cultivation stage. [ABSTRACT FROM AUTHOR]