Growing demand for sustainably driven production systems, especially pork, requires a holistic or system thinking approach. Life Cycle Thinking (LCT) offers a robust methodological background as one of the approaches to achieving system analysis for a product along its lifecycle. On the other hand, Life Cycle Assessment (LCA) can perform state-of-art system analysis characterising its sustainability fronts as a compelling set of tools. Pork, as the most consumed meat across Europe (circa 34 kg per capita per year), compounded with the sector’s contribution to global greenhouse gases (GHG) doubling over the past decade necessitated this research. Our objective was to map hotspots along the value chain and recommend the best available practices for realising the sectoral contribution to carbon neutrality and climate change adaptation. To achieve the objective, we compared organic and conventional production systems by basing our analysis on Recipe midpoint 2016 (H) V1.13 as implemented in OpenLCA 1.10.2 using AGRIBALYSE^® 3.0 datasets for eleven indicators. We found that producing 1 kg of pig meat under an organic production system had almost double the environmental impact of conventional systems for land use, water consumption, acidification, and ecotoxicity. Feed production and manure management are the significant hotspots accounting for over 90% of environmental impacts associated with 1 kg pig meat Liveweight (LW) production. Similarly, efficient conventional systems were less harmful to the environment in per capita unit of production and land use compared with organic ones in ten out of the eleven impacts evaluated. Implementing increased efficiency, reduced use of inputs for feed production, and innovative manure management practices with technological potential were some of the best practices the research recommended to realise minimal impacts on the identified hotspots.

Effective adaptation to flooding risk depends on careful identification and combinations of strategies which, in turn, depends on knowledge of the determinants of flood adaptation. The main objective of this study was to examine the determinants of rural households’ intensity of flood adaptation in the Fogera rice plain, Ethiopia. A three-stage stratified sampling technique was employed to select 337 sample household heads. Primary data was collected through a structured household survey. Data analysis was accompanied by a descriptive and generalised Poisson regression (GP) model. The descriptive analysis showed that households adopted an average of three (3) flood adaptation strategies. The generalised Poisson regression further revealed that family size, availability of off-farm income, previous flood experience, access to credit, access to extension services, and an early warning information system statistically significantly increase flood adaptation strategies’ average number (intensity). However, the age of the household head negatively and significantly influences the intensity of flood adaptation. More specifically, households with off-farm income, previous flood experience, access to credit, access to extension, and an early warning information system were 20%, 94%, 13%, 30%, and 29% more likely to adopt more flood adaptation strategies, respectively. The findings call for immediate response and coordination among stakeholders to design strategies that enhance households’ livelihood, access to credit, access to extension services, and early warning information systems for effective flood adaptation in the study area.

Recent decades have witnessed an unprecedented demand for corporate sustainability. Driven by a desire to remain competitive amidst economic turmoil and climate change, organisations are embedding sustainable measures into their long-term goals and strategies. Despite such progress, corporate sustainability is taking longer than anticipated, and to understand the reasons behind the delay, this research employs a systematic literature review to identify and categorise the key barriers to the adoption of corporate sustainability. A collection of barriers from 56 articles is established, totalling 90 unique barriers grouped into six main categories. The findings reveal that corporate sustainability is highly complex, emphasising the need for a transdisciplinary approach that incorporates various theoretical frameworks. The findings will be a general guide for any organisation to prepare itself for tackling sustainability barriers while equipping policymakers in developing policies aimed at reducing their magnitude. Equally, it will provide insights to institutions of higher learning on the significance of cross-industry cooperation to ensure skill gaps are addressed at earlier stages and aligned with organisational needs.

The Agro-innovation Broker (AIB) concept was introduced by the European Commission solely to increase the vast spread of innovative solutions in Agriculture. The concept can be perceived as an intermediary between the demand and supply of agricultural research and extension services. This paper’s results are derived from the international research work that aims to develop a training curriculum in the field of agricultural innovation services with effective materials to boost capacity building actions in Central and Eastern European Countries (CEE). Based on consultations with stakeholders, the Hungarian situation analysis allowed comparison with other CEE countries and the expansion of an AIB vocational training curriculum. It helps to better understand the needs of agricultural innovation services through a clear view of advisors’ competences. Our results suggest that apart from the similar knowledge requirements and skills of AIBs across CEE countries, country-specific expectations and needs should be addressed in AIB training.