In 1990-91, according to various estimates, the black economy constituted about 35 per cent of the national economy, which was larger than either its primary or secondary sectors. Since then black income generation has increased not only through both legal (real estate transactions, the share market) and illegal (hawala, financial scams, gold smuggling) activities but also via instances of corruption. The New Economic Policies expected to counter its growth have been unsuccessful in containing it. In this empirically rich and finely argued book, Arun Kumar critically examines the standard explanations for the causes and consequences of black income generation and the methods suggested for curbing it. His incisive analysis lays bare the pernicious effects of black income on the macroeconomy and the resultant inefficiency, waste and sub-optimality in the economy and society. It also spotlights the role of criminalization and the emerging nexus of the businessman, politician and bureaucrat in perpetuating the black economy. Showing the limited success of technical remedies like the VDIS, Arun Kumar argues in favour of structural remedial measures, which include empowering people through a right-to-information act. This revised edition has a foreword by ex-Prime Minister V.P. Singh and new appendices on employment and income in illegal activities in India and money laundering.

Black Economy In India

Business & Money

Kumar, Arun

Economics

India Penguin

Demonetization and the Black Economy

India Portfolio

Microalgae in Waste Water Remediation

Microalgae in Waste Water Remediation aims to point out trends and current topics concerning the use of microalgae in wastewater treatment and to identify potential paths for future research regarding microalgaebased bioremediation. To achieve this goal, the book also assessing and analyzes the topics that attract attention among the scientific community and their evolution through time. This book will be useful to the students, scientists and policy makers concerned with the microalgae mediated management of wastewater effluents and its applications in overall future sustainable development.

Science & Math

Singh, Jay Shankar

Biological Sciences

CRC-Press

BRAND NEW, Exactly same ISBN as listed, Please double check ISBN carefully before ordering.

Demonetization and Black Economy [Hardcover] [Nov 15, 2017] Arun Kumar

Ground Scorching Tax

Accounting

Indian Economy's Greatest Crisis: Impact of Coronavirus and the Road Ahead

Solar Powered Wastewater Recycling

Prajapati, Sandhya

Nature & Ecology

Data Management in Machine Learning Systems (Synthesis Lectures on Data Management)

Large-scale data analytics using machine learning (ML) underpins many modern data-driven applications. ML systems provide means of specifying and executing these ML workloads in an efficient and scalable manner. Data management is at the heart of many ML systems due to data-driven application characteristics, data-centric workload characteristics, and system architectures inspired by classical data management techniques. In this book, we follow this data-centric view of ML systems and aim to provide a comprehensive overview of data management in ML systems for the end-to-end data science or ML lifecycle. We review multiple interconnected lines of work: (1) ML support in database (DB) systems, (2) DB-inspired ML systems, and (3) ML lifecycle systems. Covered topics include: in-database analytics via query generation and user-defined functions, factorized and statistical-relational learning; optimizing compilers for ML workloads; execution strategies and hardware accelerators; data access methods such as compression, partitioning and indexing; resource elasticity and cloud markets; as well as systems for data preparation for ML, model selection, model management, model debugging, and model serving. Given the rapidly evolving field, we strive for a balance between an up-to-date survey of ML systems, an overview of the underlying concepts and techniques, as well as pointers to open research questions. Hence, this book might serve as a starting point for both systems researchers and developers.

Computers & Technology

Yang, Jun

Boehm, Matthias

Computer Science

Morgan & Claypool Publishers

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