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With less than 6 years left to achieve the global sustainable development goals (SDGs) by 2030, there is a growing urgency to increase the effectiveness of policy actions by targeting multiple SDGs. Mathematical modeling tools facilitate sustainability assessment in support of integrated policymaking. This study examines the interlinkages between the SDGs with commonly used and broadly applicable energy system models (ESMs) using the 248 indicators defined by the United Nations. The SDGs are classified under the environment (SDGs 6, 7, 12, 13, 14, 15), economy (SDGs 8, 9, 10, 11, 17), and society (SDGs 1, 2, 3, 4, 5, 16) domains governing the sustainability framework. The results ascertain that current ESMs are conceived to prioritize energy-related environmental indicators related to SDG7 (Affordable and Clean Energy), SDG12 (Responsible Consumption and Production) and SDG13 (Climate Action) with limited focus on non-energy indicators of the environmental domain, along with little to no coverage of SDGs-indicators allocated within the economic and social domains, respectively. The findings call for expanding the frontiers of ESMs to incorporate emerging systemic interdependencies that extend beyond the traditional "energy-environmental" nexus considering the multi-dimensional facets of sustainable development. For this purpose, a conceptual integrated framework was developed underscoring procedural protocols and technical directives to advance the ESMs-SDGs modeling paradigm through the application of methodological improvement opportunities. Theoretical and practical implications driven by policy and managerial perspectives were also discussed. In closure, this study can inform stakeholders about the gaps (sustainability issues and corresponding targets-indicators) that are imperative to address in modeling the SDGs and how to leverage existing ESMs into integrating a broader range of SDGs beyond traditional considerations. The improved outcomes are expected to facilitate integrated sustainable policy planning and formulation in pursuit of operationalizing the SDGs for the timely attainment of the 2030 agenda. [Display omitted] • Shortlisted ten commonly used and broadly applicable energy system models (ESMs). • Systematic interlinkages mapping among ESMs and SDGs using 248 indicators. • Ranked SDGs-indicators coverage within ESMs using a customized scoring system. • ESMs focus on energy-environmental indicators followed by economic and then social. • Proposed conceptual integrated framework for advancing ESMs-SDGs modeling paradigm. [ABSTRACT FROM AUTHOR]

European Union member states are dedicated to bring standards and create climate change mitigation strategies at the center stage of public policy, prioritizing energy sector's transition from non-renewable to renewable sources by the means of innovation. Though there are a plethora of studies on determinants of environmental degradation, the nexus between fiscal decentralization and ecological intensity has been lacking of empirical evidence. To bridge this shortcoming, this study aspires to investigate the direct impact of fiscal decentralization, economic abundance, human capital, energy use and green innovation on environmental degradation and how green innovation moderates the impact of fiscal decentralization on environmental degradation. Using the theoretical setting of environmental Kuznets curve (EKC) phenomenon, this study analyzes the determinants of environmental degradation measured by ecological intensity and carbon intensity respectively across the nine European Union member states over the time span from 1995 to 2018. This study built upon a panel Method of Moments Quantile Regression (MMQR) with fixed effects and the ordinary least squares (OLS) regression with Driscoll-Kraay (DK) standard errors to validate the appropriateness of the EKC hypothesis in the observed sample authenticating the inverted U-shaped pattern between economic abundance and environmental degradation. Insofar as the direct impacts are considered, human capital and green innovation are efficient in abating environmental degradation of the countries under examination whereas energy use and fiscal decentralization aid in to environmental degradation. Regarding the indirect impacts, green innovation negatively moderates the association between fiscal decentralization and both indicators of environmental degradation namely, ecological intensity and carbon intensity. In the light of these findings, it is imperative for European Union member states to authorize the local governments to reduce pollution through innovation in climate change mitigation technologies to reinforce the Sustainable Development Goal (SDG) 12. [ABSTRACT FROM AUTHOR]

The global food system is a major contributor to climate change with 23–42% of total greenhouse gas (GHG) emissions. Thus, the transition to sustainable food systems and dietary patterns represents a big challenge and a key solution to feed a fast-growing world population while maintaining safe planet boundaries of sustainability. Organic farming is often proposed as a sustainable option, however a debate is open on its effectiveness in reducing the impact on climate when compared to conventional agriculture. Therefore, there is a need for clear indicators of climate and environmental sustainability to duly inform the food system actors and foster an effective transition towards sustainable food production and consumption. The carbon footprint (CF) is one of the most used indicators to assess the sustainability of food as it measures the contribution to climate change in terms of GHG emissions with different metrics (e.g. GHG per unit of product or per unit of land). Through a systematic analysis of the existing peer-reviewed studies allowing an unbiased comparison of product-based vs land-based CF, this study shows that organic food has on average lower impact on climate than conventional, both when the CF is assessed per 'land unit' (−43% GHG emissions, average) and per 'product unit' (−12% GHG emissions, average). However, the two CF metrics provide diverse results, even opposite in some cases, when individual conventional vs organic food types are compared: organic food results to be more sustainable than conventional in almost all cases when the 'land unit' CF metric is compared; conversely, conventional food results to be less impacting than organic in the 29% of cases when the 'product unit' CF is considered. According to these results, although the CF per unit of product is far more used and provides useful indications on the food emissions intensity, in some cases it can bring a misleading message towards unsustainability, with the paradox of making more preferable food that apparently shows lower impact per unit of product while having higher emissions per land unit. Contrariwise, the CF per unit of land better reflects the actual agricultural contribution to climate change which is driven by the land-atmosphere GHG fluxes. According to this study's results and in view of the global climate policies' targets which foster organic food production and the transition to sustainable diets, an extensive conversion of the existing global croplands into organic lands would significantly contribute to reducing total GHG emissions from the land sector. [ABSTRACT FROM AUTHOR]

The global food system is a major contributor to climate change with 23–42% of total greenhouse gas (GHG) emissions. Thus, the transition to sustainable food systems and dietary patterns represents a big challenge and a key solution to feed a fast-growing world population while maintaining safe planet boundaries of sustainability. Organic farming is often proposed as a sustainable option, however a debate is open on its effectiveness in reducing the impact on climate when compared to conventional agriculture. Therefore, there is a need for clear indicators of climate and environmental sustainability to duly inform the food system actors and foster an effective transition towards sustainable food production and consumption. The carbon footprint (CF) is one of the most used indicators to assess the sustainability of food as it measures the contribution to climate change in terms of GHG emissions with different metrics (e.g. GHG per unit of product or per unit of land). Through a systematic analysis of the existing peer-reviewed studies allowing an unbiased comparison of product-based vs land-based CF, this study shows that organic food has on average lower impact on climate than conventional, both when the CF is assessed per 'land unit' (−43% GHG emissions, average) and per 'product unit' (−12% GHG emissions, average). However, the two CF metrics provide diverse results, even opposite in some cases, when individual conventional vs organic food types are compared: organic food results to be more sustainable than conventional in almost all cases when the 'land unit' CF metric is compared; conversely, conventional food results to be less impacting than organic in the 29% of cases when the 'product unit' CF is considered. According to these results, although the CF per unit of product is far more used and provides useful indications on the food emissions intensity, in some cases it can bring a misleading message towards unsustainability, with the paradox of making more preferable food that apparently shows lower impact per unit of product while having higher emissions per land unit. Contrariwise, the CF per unit of land better reflects the actual agricultural contribution to climate change which is driven by the land-atmosphere GHG fluxes. According to this study's results and in view of the global climate policies' targets which foster organic food production and the transition to sustainable diets, an extensive conversion of the existing global croplands into organic lands would significantly contribute to reducing total GHG emissions from the land sector. [ABSTRACT FROM AUTHOR]

It has been argued recently that green growth is the only economic development pathway to secure a sustainable future. The Government of Jordan has launched a National Green Growth Plan aiming to facilitate the transition towards green growth in six priority sectors; amongst those is the solid waste management sector. Jordan Vision 2025 has set a 33% reduction target in the solid waste amounts disposed in landfills or dumpsites by 2025. This study examines the development of the municipal solid waste management sector in Jordan from sustainability standpoint and presents potential scenarios to attain Jordan Vision 2025 target and gradually place this sector on a green growth path. The Sustainability Window analysis tool was used to assess the sustainability of this sector over the 2010–2015 period. This tool identifies whether the economic growth maintains the social and environmental wellbeing using strong and weak environmental, social inclusion, and economic indicators. Three scenarios to address Jordan Vision 2025 target were proposed and compared using the Sustainability Window tool: Mechanical biological treatment-anaerobic digestion, mechanical biological treatment-composting, and incineration. It was concluded from the sustainability window analysis of the 2010–2015 data that the total number of jobs in the municipal solid waste management sector is a weak social inclusion indicator compared to the stronger one "jobs per 10,000 tonnes". Likewise, greenhouse gas (GHG) emissions per tonne is a weak environmental indicator unlike the stronger "net GHG emissions". It was also inferred from the Sustainability Window analysis that the 2010–2015 Jordanian municipal solid waste sector growth did not fulfill all sustainability criteria. The proposed future scenarios were compared and it was determined that the mechanical biological treatment alternatives fulfill all sustainability criteria regardless of the indicators' strength, whereas the incineration scenario only satisfies the sustainability criteria using weak environmental indicators. Nonetheless, mechanical biological treatment-composting is the most attractive scenario from an economic perspective owing to the lower GHG mitigation cost of $18.3 per tCO 2 -eq compared to $35.5/tCO 2 -eq for the mechanical biological treatment-anaerobic digestion and $161.7/tCO 2 -eq for incineration. • The sustainability of the solid waste management sector in Jordan was assessed using the Sustainability Window tool. • The current growth scheme of the Jordanian solid waste management sector is not sustainable. • Mechanical biological treatment plants are sustainable solid waste management alternatives. • The least expensive mitigation measure is the mechanical biological treatment-composting with a cost of $18.3 per tCO 2 -eq. [ABSTRACT FROM AUTHOR]