Competition law is experiencing a transformation from a niche economic tool to a Swiss knife of broader industrial and social policy. Relatedly, there is a narrative that sees an expansive role for competition law in broad areas such as sustainability, privacy, and workers and labour rights, and a counternarrative that wants to deny it that role. There is rich scholarship on this area, but little empirical backing. In this article, we present the results of a comprehensive empirical research into whether new goals and objectives such as sustainability, privacy, and workers and labour rights are indeed endorsed in EU competition law and practice. We do so through an investigation into the totality of Court of Justice rulings, Commission decisions, Advocate General opinions, and public statements of the Commission. Our findings inject data into the debate and help dispel misconceptions that may arise by overly focusing on cherry-picked high-profile decisions while overlooking the rest of the EU’s institutional practice.

We find that sustainability is partially recognised as a goal whereas privacy and labour rights are not. We also show that all three goals are more recent than classic goals, that EU institutions have not engaged much with the areas of sustainability, privacy, and workers and labour rights, and that the Commission’s rhetoric is seemingly out of pace with decisional practice. We also identify trends that may bode for change, and we contextualize our analysis through the lens of the history and nature of the EU’s integration and economic constitution.

Sino-Arab Free Trade Agreements (FTAs) have remained elusive over two decades of increasing economic relations and trade negotiations. Nevertheless, substantial investments and trade demonstrate the Arab region’s strategic importance to China. Recent strategic drivers of China’s engagement with the Middle East have evolved from an original energy security focus, to more recently integrating technological investments into partnerships, such as artificial intelligence and renewable energy infrastructure—complicating progress towards an FTA. Such measures can help progress achievement of the Sustainable Development Goals and offer economic development opportunities, but negotiations may be hindered by concerns ranging from technological dependency to trade competition. Examining opportunities and challenges in the developing China–Arab relations, the article explores legal and policy obstacles and opportunities towards securing an FTA. With a focus on recent developments in AI and sustainability partnerships, the article analyses legal strategies and international law best practices for a model FTA for Arab countries.

Sustainability practices of a company reflect its commitments to the environment, societal good, and good governance. Institutional investors take these into account for decision-making purposes, since these factors are known to affect public opinion and thereby the stock indices of companies. Though sustainability score is usually derived from information available in self-published reports, News articles published by regulatory agencies and social media posts also contain critical information that may affect the image of a company. Language technologies have a critical role to play in the analytics process. In this paper, we present an event detection model for detecting sustainability-related incidents and violations from reports published by various monitoring and regulatory agencies. The proposed model uses a multi-tasking sequence labeling architecture that works with transformer-based document embeddings. We have created a large annotated corpus containing relevant articles published over three years (2015–2018) for training and evaluating the model. Knowledge about sustainability practices and reporting incidents using the Global Reporting Initiative (GRI) standards have been used for the above task. The proposed event detection model achieves high accuracy in detecting sustainability incidents and violations reported about an organization, as measured using cross-validation techniques. The model is thereafter applied to articles published from 2019 to 2022, and insights obtained through aggregated analysis of incidents identified from them are also presented in the paper. The proposed model is envisaged to play a significant role in sustainability monitoring by detecting organizational violations as soon as they are reported by regulatory agencies and thereby supplement the Environmental, Social, and Governance (ESG) scores issued by third-party agencies.

We present two examples of how the environmental humanities have built bridges with governments and made effective policy interventions. Lessons can be drawn about how public humanities can help develop social and cultural understanding and societal resilience.

Diet indices are quantitative assessments of the quality of population intake. Understanding diet quality is crucial to support health and well-being; however, knowledge of diet quality across racial groups is limited. To examine diet quality of acial groups ‘White’, ‘Black’, ‘Asian’, and ‘Other’ in the United Kingdom (U.K.) and United States (U.S.), U.K. and U.S. national survey data were used to calculate Alternative Healthy Eating Index (AHEI-2010), Diet Quality Index-International (DQI-I), and EAT-Lancet scores. ANCOVA tests compared median total quality scores across racial groups adjusting for covariates. Kruskal–Wallis tests examined differences in individual component scores. Spearman correlations identified association of diet quality scores across indices. Highest diet quality scores were reported for U.K. and U.S. Asian groups. Most noticeable differences were apparent between U.S. Asian and White/Black groups (62% Asians within highest tertile of AHEI-2010 score vs. 29% Whites; P < 0.001). All racial groups demonstrated poor diet quality in terms of sustainability; EAT-Lancet scores were <40% of maximum total score for U.S. White, Black, and Other groups. AHEI-2010 diet quality scores were moderately associated with EAT-Lancet scores, evident across all groups (r = 0.53–0.65; P < 0.001). There is a need for all groups to increase intake of wholegrains, especially Black groups (mean Wholegrain score for U.S. Black group within DQI-I was 0.60 (maximum score of 5)) as demonstrated within AHEI-2010, DQI-I, and EAT-Lancet component scores. Additionally, increased intake of vegetables and legumes and decreased intake of processed and red meat would improve the adequacy, healthiness, and sustainability of U.K. and U.S. racial diets.

We analyze the disclosures of sustainable investing by Dutch pension funds in their annual reports by introducing a novel textual analysis approach using state-of-the-art natural language processing techniques to measure the awareness and implementation of sustainable investing. We find that a pension fund's size increases both the awareness and implementation of sustainable investing. Moreover, we analyze the role of signing a sustainable investment initiative. Although signing this initiative increases the specificity of pension fund statements about sustainable investing, we do not find an effect on the implementation of sustainable investing.

The concept of agro-sustainability is presented and discussed. The paper shows that sustainable farming practices, sustainable development and the preservation of biological diversity require adequate valorization of local biodiversity. Special emphasis is given to neglected and underutilized crop species. The role and importance of these plants, including primitive wheat, wild anise, food legumes, several vegetables and forage legumes in southern Italy is presented. Each case is presented as an example of cultivation linked to different aspects of utilization, conservation, genetic erosion, and of their potential for sustainable agriculture.

In order to recognize the best nutrient supply options for profitable and sustainable production systems, observations were recorded from 2001 to 2020 (20 years) in a long-term fertilizer experiment initiated in 1995–96 with soybean–wheat cropping systems (SWCSs) under irrigated conditions. The experiment comprised of seven treatments including control, organic, inorganic and their combinations. A combined use of 10 Mg farmyard manure (FYM)/ha (M) along with 120 kg N/ha provided statistically (P < 0.05) similar yield and economic benefits to the M + NPK and also provided a positive yield trend (30.0 and 16.2 kg/ha/year) and net return (14.7 and 5.81 US$/ha/year) over the year in both wheat and soybean, respectively. The combined use of organic and chemical fertilizers, provided 32–41% higher production efficiency than their individual use. In contrast, long-term chemical fertilization provided a negative yield trend in both the crops with the highest reduction in sole N-fertilized plots ranged from −39 to −42 kg/ha/year. Water-use efficiency ranged from 3.20 to 12.3 kg/ha/mm in soybean–wheat rotation and increased almost 1.74–3.15 times in wheat and 1.30–1.80 times in soybean due to fertilizer application. A similar trend was observed for water-expense efficiency and remain closely associated with fertilization practice. Long-term chemical fertilizers declined the yield potential of the studied crops while their conjoint application with FYM in the winter season considered as an input efficient approach to sustain the overall productivity and profitability of SWCSs.

We analyze the effect of green patents on G7 stock market returns. First, we build a small IS-LM model to identify the relevant channels, augmented with open-economy channels and the Green Tobin’s q (Faria et al., 2022). The model highlights that the intertemporal impacts of greening on stock returns are ambiguous. We then turn to an estimated global vector autoregressive model to more rigorously analyze the effect of monetary and green patenting shocks across the G7. Both shocks influence green patents through real and financial markets. As regards green patent shocks, results suggest that a tension exists over time between promoting pollution reduction and energy efficiency and the profitability of (green and brown) companies in the aggregate. We perform a variety of robustness exercises around our main results. Our results provide something of a challenge to the literature and call for more research effort to understand the various channels that might explain this dynamic—and in turn whether any particular policy recommendations follow.