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This book is a remarkable case study of an environmental policy initiative for a national environmental regulatory system in the information age. In 1995 the Indonesian Ministry of Environment took the bold step to launch an environmental disclosure initiative called the Program for Pollution Control, Evaluation and Rating (PROPER). Under PROPER, environmental performance of companies is mapped into a five-color grading scale - Gold for excellent, Green for very good, Blue for good, Red for non-compliance, and Black for causing environmental damage. These ratings are then publicly disclosed through a formal press conference and posted on the internet. Not only did this simple rating scheme create a major media buzz and enhanced environmental awareness of the general public, but it also unleashed a wide range of performance incentives that showed how markets with environmental information could function in a developing country setting. The authors provide a multidisciplinary analysis of how the PROPER program harnessed the power of public disclosure to abate the problem of industrial pollution. They describe how the program has successfully improved the average environmental compliance rate from close to thrity per cent in 1995 to as high as seventy per cent in 2011. This improvement was driven primarily by information disclosure, which avoided expensive and unpredictable legal enforcement through the court system of Indonesia. The combination of institutional history and detailed economic and analyses sheds light on the role of policy entrepreneurs who laid the foundation for disclosure and transparency, despite the constraints of the Suharto regime. The PROPER program is now internationally recognized and continues to serve as a model for many developing countries.
Decisions about self-disclosure-whether to reveal one's thoughts, feel ings, or past experiences to another person, or the level of intimacy of such disclosure-are part of the everyday life of most persons. The nature of the decisions that a person makes will have an impact on his or her life. They will determine the kinds of relationships the person has with others; how others perceive him or her; and the degree of self knowledge and awareness that the person possesses. The study of self-disclosure has interested specialists from many disciplines, including personality and social psychologists, clinical and counseling psychologists, and communications researchers. Our book brings together the work of experts from these various disciplines with the hope that knowledge about work being done on self-disclosure in related disciplines will be increased. A strong emphasis in each of the chapters is theory development and the integration of ideas about self-disclosure. The book's chapters explore three major areas, including the interrelationship of self-disclosure and personality as well as the role of self-disclosure in the development, maintenance, and deterioration of personal relationships, and the con tribution of self-disclosure to psychotherapy, marital therapy, and counseling.
This book on statistical disclosure control presents the theory, applications and software implementation of the traditional approach to (micro)data anonymization, including data perturbation methods, disclosure risk, data utility, information loss and methods for simulating synthetic data. Introducing readers to the R packages sdcMicro and simPop, the book also features numerous examples and exercises with solutions, as well as case studies with real-world data, accompanied by the underlying R code to allow readers to reproduce all results. The demand for and volume of data from surveys, registers or other sources containing sensible information on persons or enterprises have increased significantly over the last several years. At the same time, privacy protection principles and regulations have imposed restrictions on the access and use of individual data. Proper and secure microdata dissemination calls for the application of statistical disclosure control methods to the da ta before release. This book is intended for practitioners at statistical agencies and other national and international organizations that deal with confidential data. It will also be interesting for researchers working in statistical disclosure control and the health sciences.
The Model Rules of Professional Conduct provides an up-to-date resource for information on legal ethics. Federal, state and local courts in all jurisdictions look to the Rules for guidance in solving lawyer malpractice cases, disciplinary actions, disqualification issues, sanctions questions and much more. In this volume, black-letter Rules of Professional Conduct are followed by numbered Comments that explain each Rule's purpose and provide suggestions for its practical application. The Rules will help you identify proper conduct in a variety of given situations, review those instances where discretionary action is possible, and define the nature of the relationship between you and your clients, colleagues and the courts.
The increasingly crucial role of companies’ non-financial disclosure (NFD) and integrated reporting (IR) has led to a lively debate among academics, practitioners, and regulators on the approaches, framework, contents, principles, and standards that should oversee these forms of reporting. Through several expert contributions, conducted both with qualitative and quantitative methodologies, this book provides an up-to-date portrait of the debate by exploring corporate NFD either in its mandated contents or voluntary information. Contributing authors provide studies that encompass the different lines of NFD, namely non-financial risk reporting, sustainability reporting, and intellectual capital reporting, as well as the integration of financial and non-financial information through IR, the assurance of the NFD and IR through auditing activities, and the role of management and CFOs in NFD and IR.
The aim of this book is to give the reader a detailed introduction to the different approaches to generating multiply imputed synthetic datasets. It describes all approaches that have been developed so far, provides a brief history of synthetic datasets, and gives useful hints on how to deal with real data problems like nonresponse, skip patterns, or logical constraints. Each chapter is dedicated to one approach, first describing the general concept followed by a detailed application to a real dataset providing useful guidelines on how to implement the theory in practice. The discussed multiple imputation approaches include imputation for nonresponse, generating fully synthetic datasets, generating partially synthetic datasets, generating synthetic datasets when the original data is subject to nonresponse, and a two-stage imputation approach that helps to better address the omnipresent trade-off between analytical validity and the risk of disclosure. The book concludes with a glimpse into the future of synthetic datasets, discussing the potential benefits and possible obstacles of the approach and ways to address the concerns of data users and their understandable discomfort with using data that doesn’t consist only of the originally collected values. The book is intended for researchers and practitioners alike. It helps the researcher to find the state of the art in synthetic data summarized in one book with full reference to all relevant papers on the topic. But it is also useful for the practitioner at the statistical agency who is considering the synthetic data approach for data dissemination in the future and wants to get familiar with the topic.
One of the pathways by which the scientific community confirms the validity of a new scientific discovery is by repeating the research that produced it. When a scientific effort fails to independently confirm the computations or results of a previous study, some fear that it may be a symptom of a lack of rigor in science, while others argue that such an observed inconsistency can be an important precursor to new discovery. Concerns about reproducibility and replicability have been expressed in both scientific and popular media. As these concerns came to light, Congress requested that the National Academies of Sciences, Engineering, and Medicine conduct a study to assess the extent of issues related to reproducibility and replicability and to offer recommendations for improving rigor and transparency in scientific research. Reproducibility and Replicability in Science defines reproducibility and replicability and examines the factors that may lead to non-reproducibility and non-replicability in research. Unlike the typical expectation of reproducibility between two computations, expectations about replicability are more nuanced, and in some cases a lack of replicability can aid the process of scientific discovery. This report provides recommendations to researchers, academic institutions, journals, and funders on steps they can take to improve reproducibility and replicability in science.
This book provides a description of the state of the art on environmental disclosure, illustrating the key theoretical issues, the regulatory frameworks, and the main standards developed and reporting the results of an empirical analysis on the environmental disclosure released by listed firms. Luigi Lepore and Sabrina Pisano begin by analysing the origin and evolution of environmental disclosure. They go on to provide a description of the main theoretical frameworks used by scholars, explaining the conceptual basis of each theory and describing how the specific theory has been used to explain the company’s decision to release environmental disclosure. The second part of the book highlights the role and evolution of the European regulatory frameworks, emphasising the transition from voluntary to mandatory disclosure, and the major standards and guidance developed. The book ends by providing a picture of the evolution of sustainability reporting practices in European Union nations over the past two decades. This book investigates the critical issues and new directions in environmental disclosure, which are currently under examination by regulators and standard setters. It will therefore be of great interest to academics and students working in the areas of business and sustainability.
From the author of Jurassic Park, Timeline, and Sphere comes an electrifying thriller in which a shocking accusation of sexual harassment triggers a gripping psychological game of cat and mouse and threatens to derail a brilliant career. #1 NEW YORK TIMES BESTSELLER “A fresh and provocative story.”—People An up-and-coming executive at the computer firm DigiCom, Tom Sanders is a man whose corporate future is certain. But after a closed-door meeting with his new boss—a woman who is his former lover and has been promoted to the position he expected to have—Sanders finds himself caught in a nightmarish web of deceit in which he is branded the villain. As Sanders scrambles to defend himself, he uncovers an electronic trail into the company’s secrets—and begins to grasp that a cynical and manipulative scheme has been devised to bring him down. “Crichton writes superbly. . . . The excitement rises with each page.”—Chicago Tribune “A heart-stop story running on several tracks at once. Disclosure is up to [Crichton’s] usual locomotive speed.”—The Boston Globe “Expertly crafted, ingenious and absorbing.”—The Philadelphia Inquirer