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To ensure business continuity in the post-COVID-19 era, decision-makers should reconfigure their traditional supply chain (SC) networks, assisted by the development and implementation of cutting-edge technologies. Recently, Industry 5.0 (I5.0) has gained increasing attention as a paradigm offering salient features for the creation of resilient and inclusive operations by ensuring long-standing SC sustainability. However, there has been insufficient analysis of the challenges of implementing I5.0 in SCs. Therefore, this study aims to understand the challenges of implementing I5.0 when managing the impact of SC disruptions due to the COVID-19 pandemic in an emerging economy. Both qualitative and quantitative methods were used for this research. First, the challenges to I5.0 implementation were identified through a literature review and experts’ feedback. Those challenges were examined and prioritised using the Best-Worst Method (BWM). Second, the contextual relationships amongst these challenges were analysed using interpretive structural modelling (ISM) with cross-impact matrix multiplication applied to classification (MICMAC) analysis. Findings showed that to adopt I5.0 initiatives successfully in order to manage the post-COVID-19 impact on SC sustainability, the active involvement of senior managers is required in the execution process. Findings also showed that financial support and funding (e.g., tax reduction, short loans, etc.) from investors and the government play a pivotal role in enabling sustainability in SCs. Finally, the challenges were classified using MICMAC analysis to provide valuable insights for managing future disruptions. This study is expected to help managers and decision-makers successfully overcome the challenges of implementing I5.0 in SCs and thus improve SC sustainability.

Achieving environmental sustainability has become a global concern amidst increasing climate change threat. Using quarterly frequency data for the case of Russia from 1992 to 2018, the present study explores the interaction between disaggregated energy consumption (renewable energy and non-renewable energy), trade flow and economic growth on a broader measure for environmental degradation (ecological footprint). The choice of the variables draws strength from initiative of the United Nations Sustainable Development Goals (UN-SDG, 7, 8 11 and 13) for responsible energy consumption and clean energy consumption while mitigating climate change issues. The study applied the quantile-on-quantile regression (QQR) and nonparametric causality-in-quantiles to capture these associations. The outcomes from the QQR disclosed that in the majority of the quantiles, trade openness and renewable energy use contribute to environmental sustainability, while nonrenewable energy amplifies ecological footprint. Furthermore, growth in Russia escalates its ecological footprint. Moreover, in the majority of the quantiles, all the exogenous variables can predict ecological footprint. Given the outcomes of this study, it outlines the need for a paradigm shift for alternative and clean energy consumption in Russian energy mix amidst its economic growth trajectory while accounting for green-development approaches. Pathways to fully achieve the sustainability targets are carefully outlined in the concluding section.

AbstractThe wood pellet market is booming in Europe. The EU 2020 policy targets for renewable energy sources and greenhouse gas (GHG) emissions reduction are among the main drivers. The aim of this analysis is to map current European national wood pellet demand and supplies, to provide a comprehensive overview of major market types and prices, and to discuss the future outlook in light of raw material supply. Approximately 650 pellet plants produced more than 10 million tonnes of pellets in 2009 in Europe. Total European consumption was about 9.8 million tonnes, of which some 9.2 million tonnes is within the EU‐27, representing a modest 0.2% of Gross Energy Consumption (75 EJ level in 2008). The prices of most pellet types are increasing. While most markets of non‐industrial pellets are largely self‐sufficient, industrial pellet markets depend on the import of wood pellets from outside the EU‐27. Industrial pellet markets are relatively mature, compared to non‐industrial ones, because of their advanced storage facilities and long‐term price‐setting. However, industrial pellet markets are unstable, depending mainly on the establishment or the abolishment of public support schemes.Following our scenarios, additional 2020 demand for woody biomass varies from 105 million tonnes, based on market forecasts for pellets in the energy sector and a reference growth of the forest sector, to 305 million tonnes, based on maximum demand in energy and transport sectors and a rapid growth of the forest sector. Additional supply of woody biomass may vary from 45 million tonnes from increased harvest levels to 400 million tonnes after the recovery of slash via altered forest management, the recovery of waste wood via recycling, and the establishment of woody energy plantations in the future. Any short‐term shortages within the EU‐27 may be bridged via imports from nearby regions such as north west Russia or overseas. © 2011 Society of Chemical Industry and John Wiley & Sons, Ltd

Alors que les répercussions négatives de la dévastation environnementale, telles que le réchauffement climatique et le changement climatique, deviennent de plus en plus évidentes, la conscience environnementale se développe dans le monde entier, obligeant les nations à prendre des mesures pour atténuer les dommages. Ainsi, la présente étude évalue l'effet des investissements verts, de la qualité institutionnelle et de la stabilité politique sur la qualité de l'air dans les pays du G20 pour la période 2004-2020. La stationnarité des variables a été examinée avec le CADF Pesaran (J Appl Econ 22: 265-312, 2007), la relation à long terme entre les variables par Westerlund (Oxf Bull Econ Stat 69(6) : 709-748, 2007), les coefficients de relation à long terme avec la méthode MMQR proposée par Machado et Silva (Econ 213(1) : 145-173, 2019), et la relation de causalité entre les variables par Dumitrescu et Hurlin (Econ Model 29(4) :1450-1460, 2012). Les résultats de l'étude ont révélé que les investissements dans la finance verte, la qualité institutionnelle et la stabilité politique augmentaient la qualité de l'air, tandis que la production totale et la consommation d'énergie diminuaient la qualité de l'air. La causalité du panel révèle une causalité unidirectionnelle des investissements dans la finance verte, de la production totale, de la consommation d'énergie et de la stabilité politique à la qualité de l'air, et une causalité bidirectionnelle entre la qualité institutionnelle et la qualité de l'air. Selon ces résultats, il a été constaté qu'à long terme, les investissements dans la finance verte, la production totale, la consommation d'énergie, la stabilité politique et la qualité des institutions affectent la qualité de l'air. Sur la base de ces résultats, des implications politiques ont été proposées. A medida que las repercusiones negativas de la devastación ambiental, como el calentamiento global y el cambio climático, se hacen más evidentes, la conciencia ambiental está creciendo en todo el mundo, lo que obliga a las naciones a tomar medidas para mitigar el daño. Por lo tanto, el presente estudio evalúa el efecto de las inversiones verdes, la calidad institucional y la estabilidad política en la calidad del aire en los países del G-20 para el período 2004-2020. La estacionariedad de las variables se examinó con el CADF Pesaran (J Appl Econ 22: 265-312, 2007), la relación a largo plazo entre las variables por Westerlund (Oxf Bull Econ Stat 69(6): 709-748, 2007), los coeficientes de relación a largo plazo con el método MMQR propuesto por Machado y Silva (Econ 213(1):145-173, 2019), y la relación de causalidad entre las variables por Dumitrescu y Hurlin (Econ Model 29(4):1450-1460, 2012) causalidad del panel. Los hallazgos del estudio revelaron que las inversiones en finanzas verdes, la calidad institucional y la estabilidad política aumentaron la calidad del aire, mientras que la producción total y el consumo de energía disminuyeron la calidad del aire. La causalidad del panel revela una causalidad unidireccional desde las inversiones en finanzas verdes, la producción total, el consumo de energía y la estabilidad política hasta la calidad del aire, y una causalidad bidireccional entre la calidad institucional y la calidad del aire. De acuerdo con estos hallazgos, se ha encontrado que a largo plazo, las inversiones en finanzas verdes, la producción total, el consumo de energía, la estabilidad política y la calidad institucional afectan la calidad del aire. Con base en estos resultados, se propusieron implicaciones políticas. As the negative repercussions of environmental devastation, such as global warming and climate change, become more apparent, environmental consciousness is growing across the world, forcing nations to take steps to mitigate the damage. Thus, the current study assesses the effect of green investments, institutional quality, and political stability on air quality in the G-20 countries for the period 2004-2020. The stationarity of the variables was examined with the Pesaran (J Appl Econ 22:265-312, 2007) CADF, the long-term relationship between the variables by Westerlund (Oxf Bull Econ Stat 69(6):709-748, 2007), the long-run relationship coefficients with the MMQR method proposed by Machado and Silva (Econ 213(1):145-173, 2019), and the causality relationship between the variables by Dumitrescu and Hurlin (Econ Model 29(4):1450-1460, 2012) panel causality. The study findings revealed that green finance investments, institutional quality and political stability increased the air quality, while total output and energy consumption decreased air quality. The panel causality reveals a unidirectional causality from green finance investments, total output, energy consumption and political stability to air quality, and a bidirectional causality between institutional quality and air quality. According to these findings, it has been found that in the long term, green finance investments, total output, energy consumption, political stability, and institutional quality affect air quality. Based on these results, policies implications were proposed. نظرًا لأن التداعيات السلبية للدمار البيئي، مثل الاحترار العالمي وتغير المناخ، أصبحت أكثر وضوحًا، فإن الوعي البيئي ينمو في جميع أنحاء العالم، مما يجبر الدول على اتخاذ خطوات للتخفيف من الضرر. وبالتالي، تقيّم الدراسة الحالية تأثير الاستثمارات الخضراء والجودة المؤسسية والاستقرار السياسي على جودة الهواء في دول مجموعة العشرين للفترة 2004-2020. تم فحص ثبات المتغيرات مع Pesaran (J Appl Econ 22: 265-312، 2007) CADF، والعلاقة طويلة الأجل بين المتغيرات بواسطة Westerlund (Oxf Bull Econ Stat 69(6): 709-748، 2007)، ومعاملات العلاقة طويلة المدى مع طريقة MMQR التي اقترحها Machado و Silva (Econ 213(1): 145-173، 2019)، والعلاقة السببية بين المتغيرات بواسطة Dumitrescu و Hurlin (Econ Model 29(4): 1450-1460، 2012) لوحة السببية. وكشفت نتائج الدراسة أن استثمارات التمويل الأخضر والجودة المؤسسية والاستقرار السياسي زادت من جودة الهواء، في حين أدى إجمالي الإنتاج واستهلاك الطاقة إلى انخفاض جودة الهواء. تكشف العلاقة السببية للفريق عن علاقة سببية أحادية الاتجاه من استثمارات التمويل الأخضر، وإجمالي الإنتاج، واستهلاك الطاقة والاستقرار السياسي إلى جودة الهواء، والعلاقة السببية ثنائية الاتجاه بين الجودة المؤسسية وجودة الهواء. وفقًا لهذه النتائج، فقد تبين أنه على المدى الطويل، تؤثر استثمارات التمويل الأخضر، والإنتاج الإجمالي، واستهلاك الطاقة، والاستقرار السياسي، والجودة المؤسسية على جودة الهواء. وبناءً على هذه النتائج، تم اقتراح الآثار المترتبة على السياسات.

PurposeFirst, the current study contributes to the available debate by reinvestigating the impact of economic growth (EG), foreign direct investment (FDI), technological innovation (TI) and inflation (INF) on trade openness (TO). Second, the study tests the moderating role of institutional quality (INS) on the relationship among EG, FDI, TI and TO. Third, the study tests how TO contributes to EG efficiency.Design/methodology/approachThe study collects the data from the group of twenty (G20) economies for the period of 1998–2020. The study applied the Kao (1999), Pedroni (2001), and Palamuleni (2017) cointegration tests to test the long-run association between variables. The study applied fully modified least square (FMOLS) and dynamic least square (DOLS) models to test the hypotheses.FindingsFindings of the study showed the positive impact of EG, FDI and TI on TO, which becomes more positive in the presence of institutional quality. Results indicate that INS plays an enhancing role in the relationship between FDI and TO, EG and TO and TI and TO. The study showed a negative relationship between INF and TO, and institutional quality plays a buffering role in the relationship between INF and TO.Originality/valueFirst, the study reinvestigates the empirical association among EG, FDI, TI, INF and TO. Second, the study tests the moderating role of INS on the relationship between the proposed variables by developing an index of all the indicators of INS. Third, the study tests the contributions of TO in economic efficiency (ECE). The contributions of the present study will increase the available literature of TO and help the policy makers of G20 nations to suggest important policies to promote TO and ECE.

Emissions of gaseous and particulate pollutants from burning of wheat straw, rice straw, cotton straw, and bagasse were studied for the two agricultural-activity-dominated provinces of Pakistan: the Punjab and Sindh. Emission estimates, inventory, and allocation maps indicated distinct patterns of pollutant emissions in the two provinces. Comparative pollutant emission analysis revealed that the Punjab province produced higher pollutants from agricultural biomass burning than Sindh province. Total emissions from these two provinces were estimated to be 16,084.04 Gg (16.08 Tg) for the year 2006/2007. Wheat straw was found to be the dominant source of CO, CO2, SO2, NOx, and EC emissions in the both provinces. However, for the emissions of CH4, NH3, EC, and OC, the Punjab and Sindh provinces differed markedly for the crop residue share in these pollutant emissions. Rice straw was found to be the largest contributor of CH4 (51%) and NH3 (65%) in Sindh province. When total emissions from biomass burning were considered at provincial level, wheat straw and bagasse were the major crop residues which accounted for 72 and 14% of pollutant emissions, respectively, in the Punjab province, whereas, in Sindh province, the order of crop residue contribution in total emission was as follows: wheat (59%) > bagasse (19%) > rice (14%) > cotton (7%). Emission inventory data of total pollutants per unit area under cultivation (Mg ha(-1)) revealed that Sindh province produced higher emissions per hectare for wheat straw, rice straw, and bagasse than the Punjab province.

Abstract Global changes in temperature will likely change energy use and electricity production capacity. Considering the relationship between climate change and energy resource use, changes in temperature and the frequency and intensity of extreme events will affect how much energy is produced and consumed. The green economy and green growth are located at the heart of the fight against climate change in creating sustainable development. This paper considers the multidirectional relations between climate change, energy resources, and sustainable development including the perspective of a green economy via a technoeconomic analysis. A link among energy resources, climate changes and sustainable development has been displayed via a technoeconomic analysis in the case study, which was focused on taking into consideration the needs of the hydroponic units, the product selling price, the electricity price of the wind farm (WF), and at the same time the energy demand, under a nexus approach. Via the technoeconomic analysis, it was proven that moving on to smaller investments of 2 MWs is more efficient compared to larger projects e.g. 18 MWs, however, this cannot be considered immediately as the preferred solution since it is always a matter of impact on the local society.

Abstract Renewable energy and green innovation can enhance environmental performance by encouraging international trade, as anticipated by the current theoretical framework. This study investigates how renewable energy and eco-innovation affect international trade and environmental performance using quarterly data series from 1981 to 2018 for China. The study applies a quantile-based autoregressive distributed lag model. The results indicate that environmental innovation and renewable energy are consistent with environmental quality, while trade openness and urbanization contribute to environmental degradation by stimulating CO2 emissions. In addition, the quantile causality test showed a bidirectional causality between renewable energy and CO2 emissions, trade openness and CO2 emissions, and urbanization and CO2 emissions. Additionally, the findings lend theoretical support for the formulation of environmentally protective policies to better understand the role of renewable energy in stimulating international trade, which eventually enhances environmental performance. Integr Environ Assess Manag 2022;18:813–823. © 2021 SETAC KEY POINTS The study applies the Quantile based Autoregressive Distributed Lag Model. The results indicate that eco-innovation and renewable energy are consistent with environmental quality. Trade openness and urbanization contribute to environmental degradation.