Alternative approaches to environmental regulation have gained much attention in recent years. Information-based regulation is an increasingly popular type of instrument that refers to the use of ratings, rankings, labels, online inventories and similar public disclosure practices by regulators. Such schemes vary in their design, disclosure formats, mechanisms to influence behaviour and performance. Theoretical and practical questions remain about whether and how regulators can use voluntary and/or beyond compliance disclosures. The article develops a classification of information-based schemes based on whether the scheme is mandatory or voluntary, and whether the disclosures reveal compliance or beyond compliance performance behaviours. The classification is used to show how the different schemes (traditional, assurance, performance and proactive) work in practice with their associated risks, benefits and mechanisms. While regulators are experimenting with this new frontier of regulation, it is not yet clear whether all types of schemes will be sufficiently robust to deliver on the promise they hold for enthusiasts of smart regulation. We conclude with implications and future research questions on the nature of voluntariness and compliance in information-based regulation.
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http://dx.doi.org/10.1016/j.scitotenv.2019.135571 | DOI Listing |
Vet Res Commun
January 2025
Veterinary Research Institute (VRI), 59 Jalan Sultan Azlan Shah, 31400, Ipoh, Perak, Malaysia.
African swine fever (ASF), a severe and highly contagious haemorrhagic viral disease of pigs, is becoming a major threat not only in Malaysia but around the world. The first confirmed case of ASF in Malaysia was reported in February 2021. Despite the emergence of ASF in Malaysia, genetic information on this causative pathogen for the local livestock is still limited.
View Article and Find Full Text PDFClin Transl Sci
January 2025
Department of Regulatory Science, Nagoya City University Graduate School of Pharmaceutical Sciences, Nagoya, Japan.
Predicting cisplatin-induced acute kidney injury (Cis-AKI) before its onset is important. We aimed to develop a predictive model for Cis-AKI using patient clinical information based on an interpretable machine learning algorithm. This single-center retrospective study included hospitalized patients aged ≥ 18 years who received the first course of cisplatin chemotherapy from January 1, 2011, to December 31, 2020, at Nagoya City University Hospital.
View Article and Find Full Text PDFWater Res
December 2024
College of Environment, Ministry of Education Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Hohai University, Nanjing 210098, PR China.; Suzhou Research Institute, Hohai University, Suzhou 215100, PR China.. Electronic address:
With the increasing prevalence of emerging contaminants (ECs) in the environment, gaining a deeper understanding of the chemical information pertaining to the contamination source is a crucial step toward effective prevention and control of these ECs. This study presents a novel strategy for analyzing the chemical information of contamination sources using gas chromatography-high resolution mass spectrometry (GC-HRMS) and demonstrates it on landfill leachate, a common and representative environmental contamination source. Initially, a non-targeted screening approach using HRMS was used to characterize a total of 5344 organic compounds with identification confidence levels 1 and 2 in 14 landfill leachate samples.
View Article and Find Full Text PDFBMC Bioinformatics
December 2024
College of Computer Science and Technology, Inner Mongolia Minzu University, Tongliao, 028000, China.
As a heterogeneous disease, prostate cancer (PCa) exhibits diverse clinical and biological features, which pose significant challenges for early diagnosis and treatment. Metabolomics offers promising new approaches for early diagnosis, treatment, and prognosis of PCa. However, metabolomics data are characterized by high dimensionality, noise, variability, and small sample sizes, presenting substantial challenges for classification.
View Article and Find Full Text PDFJ Phys Chem B
January 2025
Laboratoire Interdisciplinaire Carnot de Bourgogne, UMR 6303 CNRS-Université de Bourgogne, 21078 Dijon Cedex, France.
Biological peptides have emerged as promising candidates for data storage applications due to their versatility and programmability. Recent advances in peptide synthesis and sequencing technologies have enabled the development of peptide-based data storage systems for realizing novel information storage technologies with enhanced capacity, durability, and data access speeds. In this study, we performed coarse-grained peptide sequencing of 12 distinct sequences through single-layer MoS solid-state nanopores (SSNs) using molecular dynamics (MD).
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