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The Indian banking sector has undergone a profound transformation in the wake of successive economic disruptions - the global financial crisis of 2007-09, the local banking crisis of 2013-17, the currency notes ban crisis of 2016-17, and the COVID-19 pandemic. Each episode has exposed latent vulnerabilities in the financial system: inefficiencies in intermediation, the build-up of credit risk, and structural imbalances in competition.

This book offers the comprehensive empirical assessment of how the Indian banking industry has evolved in the post-crash era, using bank-level data from 2001 to 2022. Bringing together advanced econometric and frontier methodologies, including a two-stage network DEA metafrontier framework, the Panzar-Rosse approach with dynamic panel estimation, and system GMM techniques, the authors' examine three core dimensions of banking performance. The book analyses how successive crises have shaped operational efficiency, competitive conduct, and asset quality across bank ownership categories; evaluate the effectiveness of regulatory reforms including Basel III implementation, the Prompt Corrective Action framework, mergers and recapitalisation of public-sector banks, the Insolvency and Bankruptcy Code, and the integration of FinTech innovations; and the drivers of credit risk.

Post-Crash Development in the Indian Banking Sector will be a valuable reference for those studying comparative banking in emerging-market economies and looking to reform their banking sector.

This book analyzes China's food safety co-governance with Chinese characteristics through the Asymmetric Party-State-Society (PSS) Triangle Structure, combining theoretical analysis with 67 interviews conducted between 2018 and 2024. It traces how this framework took shape and matured from the 2008 melamine scandal to the present.

The framework positions the Communist Party at the apex, providing strategic direction; the government at the base, translating directives into enforceable standards and enforcement; and society at the pivot, participating within state-defined boundaries. It develops the concept of structured asymmetry, demonstrating how hierarchical authority and functional collaboration can coexist. This challenges the assumption in Western collaborative governance theory that effective governance requires dispersed power and voluntary participation. It places China alongside the United States and the European Union, assesses the strengths and limitations of each model, and examines China's growing influence in international standard-setting bodies, including the Codex Alimentarius Commission. The book further considers the future of PSS co-governance as digital technologies and global supply chain pressures reshape the institutional boundaries of the triangle structure.

The book will appeal to scholars and practitioners working in food safety law and policy, Chinese politics and governance, comparative public administration, and regulatory theory.

Technologische Innovation ist ein wichtiger Motor fuer wirtschaftliche Entwicklung und Wohlstand. Sie praegt die wirtschaftliche Entwicklung, indem sie neue Produkte und effizientere Produktionsprozesse hervorbringt. Die Faehigkeit, Innovationen anzustossen und zu nutzen, wird auch kuenftig entscheidend fuer die Leistungsfaehigkeit von Unternehmen, Branchen, Laendern und der Weltwirtschaft sein.
Dieses Lehrbuch befasst sich mit den Wechselwirkungen zwischen verschiedenen Ebenen der Wirtschaftsanalyse. Manfred Stadler verfolgt einen konsequenten Bottom-up-Ansatz, der auf der Ebene des einzelnen Unternehmens und dessen Entscheidungen in Bezug auf Forschung und Entwicklung (F&E) beginnt. Anschliessend geht er weiter zur Branchenebene, auf der Unternehmen strategisch interagieren, und wendet diesen Wettbewerbsrahmen schliesslich an, um Innovationsprozesse in geschlossenen und offenen Volkswirtschaften zu analysieren. Dieser Aufbau verdeutlicht, wie sich mikrooekonomisches Verhalten zu Branchendynamiken und makrooekonomischen Ergebnissen aggregiert.
Sowohl praktische Erfahrungen als auch empirische Belege weisen auf zwei Schluesselkriterien fuer geeignete Innovationsmodelle hin. Erstens sollte Innovation als dynamischer und stochastischer Prozess betrachtet werden, der von den F&E-Aktivitaeten der Unternehmen angetrieben wird, was den Einsatz geeigneter Werkzeuge aus der stochastischen dynamischen Optimierung erfordert. Zweitens sollten Modelle die empirisch relevanten Determinanten der F&E-Aktivitaeten von Unternehmen sowie die daraus resultierenden technologischen und strukturellen Veraenderungen in Branchen und Volkswirtschaften erfassen. Dies erfordert einen integrierten Mikro-Makro-Ansatz.
In diesem Lehrbuch werden erstmals dynamische und stochastische Innovationsmodelle und technologischer Wandel in einem konsistenten Bottom-up-Ansatz praesentiert. Es ergaenzt und erweitert die bestehende Literatur, indem es einen einheitlichen und analytisch stringenten Ansatz fuer die Untersuchung von Innovation bietet.

Since 2014, China has developed what is now the world's largest public-private partnerships (PPPs) market. This book provides a comprehensive and empirically grounded exploration of China's experience with PPPs.

Based on a detailed project-level dataset collected between 2014 and 2023, the author examines China's PPP governance from multiple perspectives. The analysis covers policy evolution, institutional experimentation, and regional diffusion patterns. It also investigates the fiscal incentives shaping local government behavior and the institutional constraints embedded in existing regulatory arrangements. The empirical chapters assess the extent to which spatial diffusion theory, transaction cost theory, capital structure theory, and cutback management theory explain the dynamics observed in practice, while also offering a timely assessment of recent PPP reforms in China.

This book will be of interest to scholars seeking to understand the evolution of PPP governance, as well as policymakers and practitioners looking for evidence-based insights.

The material assembled in this volume offers a deeper insight into Walter Eucken's attitudes, thought, and actions during the darkest years of Germany's history: the period of National Socialism. Although Eucken, like his associates, destroyed potentially incriminating documents after the failed assassination attempt by Count Stauffenberg on Adolf Hitler on July 20, 1944, the surviving texts mark key stages in a process that ultimately led this determined opponent of the Nazi regime - an opponent from the very beginning - into active resistance against Hitler.
What rendered Eucken immune to National Socialism from the outset was his philosophically grounded abhorrence of the dissolution of the free individual into the collective, as is inherent in all totalitarian, especially voelkisch (ethno-nationalist) ideologies. His systematic opposition to the Nazi regime began with refusal, open protest, and confrontation, particularly in response to the rapid Gleichschaltung (forced coordination) of the universities, Martin Heidegger's rectorship, and the dismantling of academic freedom by the Nazis. Following Germany's invasion of Poland and several ultimately unsuccessful attempts to exert positive influence on the centers of power in Berlin, his resistance culminated in a - necessarily cautious - participation in conspiratorial activities as an advisor and confidant to the plotters.
The texts in this volume include notes and sketches of ideas, completed manuscripts that remained unpublished during his lifetime, published essays, a transcript of the lecture "Kampf der Wissenschaften," the record of a public discussion with a Nazi district leader, an expert report commissioned by the Reich Ministry of Economics on possible "sources of war financing" at the end of 1939, the academically significant essay "Wettbewerb als Grundprinzip der Wirtschaftsverfassung" prepared within the Academy for German Law, the chapter Eucken authored for the "Primer of Economics" initiated by Carl Goerdeler, as well as the appendix he co-authored to the memorandum "Wirtschafts- und Sozialordnung" of the Bonhoeffer Circle. This memorandum was prepared on behalf of the Confessing Church with a view to a future world church conference planned for the time after the war and the hoped-for overthrow of Hitler. Retrospective additions include, among other things, Eucken's "Notizen ueber die Haltung der rechts- und staatswissenschaftlichen Fakultaet in Freiburg waehrend der Herrschaft des Nationalsozialismus," his funeral oration for his prematurely deceased colleague Adolf Lampe, and drafts for an obituary of Hans Grossmann-Doerth, with whom, together with Franz Boehm, Eucken had launched the research program of the Freiburg School: the development of a legal order conceived as an economic constitution, whose fundamental principle would be competition.
These materials make it possible to trace how Eucken, precisely through his confrontation with the rapidly escalating regime of injustice - with the enforced Gleichschaltung, the increasing move toward a planned economy, the persecution of the Jews culminating in genocide, the other atrocities of the dictatorship, and the devastating Second World War - was able to sharpen his conception of a "humane and functional order," diametrically opposed to such a cataclysm. Eucken's theoretical design of a competitive order would later provide direction in the postwar years for the establishment of a social market economy in the young Federal Republic of Germany.

Rethinking the economics of gender.

In the 1970s, as women started to enter the labor force in unprecedented numbers, economists began to examine their roles as economic actors. The result was the rise of gender economics, now a major subfield with powerful data and new methods comparing the economic lives of men and women. Yet despite decades of progress, many of the most consequential questions about gender inequality remain unresolved.

In this bold and reflective book, renowned economist and demographer Shelly Lundberg argues that the problem is not a lack of evidence but a failure to challenge entrenched economic models and outmoded assumptions about markets and gender that have limited what the field can explain.

Why does occupational segregation persist? Why do "women's jobs" pay less? Why are men falling behind in education? And why do policies like paternity leave fail to change behavior? Drawing on more than five decades in the field and integrating insights from other social sciences, Lundberg explains signs of recent progress and charts a path toward a more realistic, socially grounded economics capable of meeting the challenges of gender inequality today.

Economics and Management offers an intermediate-level introduction to economic and operations research concepts, tailored for upper-level undergraduate and MBA students from non-economics backgrounds. Blending economic theory with practical applications, it equips future managers, engineers, and policymakers with the analytical tools to navigate today's complex economic landscape.

At the macroeconomic level, the book explores fiscal and monetary policy, technological change, economic growth, inflation, unemployment, and international trade. At the microeconomic level, it examines production economics, firm theory, consumer demand, market structures, cost-benefit analysis, and pricing strategies through an applied economics lens. The text uniquely addresses risk and uncertainty by examining global challenges such as climate change and the energy transition, highlighting how financial instruments like insurance, weather derivatives, and prediction markets can mitigate these risks.

A key feature of the book is its integration of Artificial Intelligence into economic analysis. Students learn to use AI to write R code for simulations, regression modeling, and optimization problems, making complex coding accessible to non-programmers. Applications include stochastic cost-benefit analysis, sales forecasting, and tariff analysis. Excel tools are also employed for regression and optimization tasks, with AI guidance simplifying problem-solving.

Economics and Management provides a holistic and practical approach to economics, enabling students from non-economics backgrounds to confidently address real-world challenges.

Alan Acock's book, A Practical Guide to Logistic Regression Using Stata, is written for students and researchers who are new to logistic regression and who want to focus on applications rather than theory. This guide teaches when and why logistic regression is appropriate, how to easily fit these models by using Stata, and how to interpret and present the results.

The book begins with a review of OLS regression and an introduction to the concepts of logistic regression. It compares and contrasts these two methods and explains why logistic regression is usually the better approach to modeling binary outcome data. Along the way, readers will learn about parameter estimation for logistic regression models.

The author then turns his attention to interpreting the models and assessing model fit. The book demonstrates how to transform the coefficients into more interpretable odds ratios and how to estimate relative risks when appropriate. Acock next explains tools such as the pseudo-R (2), likelihood-ratio tests, Akaike's information criterion (AIC), and Schwarz's Bayesian information criterion (BIC) and shows how to use these tools to assess the fit of the model to the data.

Subsequent chapters focus on assessing a model's predictive utility using sensitivity, specificity, and receiver operating characteristic (ROC) curves. These concepts are explained clearly and demonstrated with practical examples.

The book concludes with a detailed discussion of how to build models with different kinds of predictor variables, how to use Stata's margins command to transform the model coefficients to predicted probabilities, and how to use marginsplot to create easily interpretable visualizations of the results. The author includes many examples using continuous and categorical predictors, illustrates various interactions between different predictor variables, and explains complications that may arise, such as multicollinearity.

A Practical Guide to Logistic Regression Using Stata provides a comprehensive, applications-oriented introduction to modeling binary outcomes using logistic regression. Readers at all levels will learn the skills to confidently fit, assess, interpret, and visualize these models using their own data.

The Great Disconnect: The Paradox of India's Economic Growth and Employment Crisis, examines the paradox of India's remarkable economic growth alongside persistent employment challenges, revealing the complex dynamics of what the author terms "the great disconnect" between development and suitable work opportunities.

Drawing on extensive research and policy experience, Professor K.P. Kannan explores how India's economic reforms have created a troubling divergence between GDP growth and quality employment generation. The book provides critical insights into jobless growth patterns, the devastating impact of the COVID-19 pandemic on workers, persistent wage inequalities, and the marginalisation of women and less-educated workers in rural areas. Through detailed analysis of employment elasticity, informal sector dynamics, and social security gaps, Kannan demonstrates how the majority of India's workforce remains trapped in precarious employment without basic protections. The study extends beyond national boundaries to examine similar challenges across the Global South, particularly within BRICS countries, whilst proposing strategies for organising informal workers and achieving inclusive development.

This authoritative work will be essential reading for development economists, labour specialists, policy makers, and researchers examining employment challenges in emerging economies in the Global South. It provides valuable insights for international development agencies, government officials, labour organisations, and academics studying the intersection of economic growth and social development in contemporary India and the broader developing world.

This is the first book to illustrate the use of Network Analysis for the analysis of rating datasets. It uses a multi-disciplinary approach to focus on the quantification and visualization of rater effects for exploration, diagnosis, reporting, decision-making, and planning.

Combining cutting-edge theories of rater effects with step-by-step practical examples using publicly available data and open-source code (R packages), this book provides an introduction to the concept of rating datasets. It uses simple language to discuss data requirements, model assumptions, and other important details, and it follows all theoretical sections with practical applications that analyze empirical data step-by-step. The book also demonstrates how the proposed methods can be integrated with more established approaches, such as Rasch models, to make the analysis of relevant data more efficient. With its accessible language and gentle introduction to graph theory and network analysis, this book is suitable for readers unfamiliar with the methodology. throughout the book, readers will become able to plan a rater-effects study, format the dataset, conduct the analysis, and report the findings. The data and code are available as supplementary online material to encourage readers to replicate the analysis and reflect on the results.

This book will be of great interest to graduate students and researchers who conduct research on using ratings, and will also be an important reference for anyone studying measurement, research, and quantitative methods. Researchers and practitioners in the fields of testing services, awarding bodies and social sciences in general will also find this book useful

This book comprehensively explores the intersection between gender, climate change, and the green economy in Africa. It investigates the gendered impacts of climate change and emphasises the critical role women play in addressing climate change, shaping sustainable development, and the green economy.

Drawing on a range of case studies, policy analyses, and theoretical reflections, the book highlights the often-overlooked contributions of women to sustainability efforts, environmental governance, and socio-economic resilience in the face of climate impacts. It argues that women are disproportionately affected by climate change due to existing socio-economic inequalities. It challenges women's exclusion from climate policy development and implementation by placing women at the centre of climate action and as critical actors for advancing climate justice and the green economy. To bridge the gap between gender-focused research and practical policy solutions, the book provides gender-sensitive strategies for a more inclusive, just, and sustainable future.

This book will be an important read for policymakers, researchers, and students across the fields of sustainable development, African studies, gender studies, and environmental studies. Additionally, it will be a valuable resource for development practitioners and NGOs working in the space of environmental justice and sustainable development.

Throughout the history of football, new leagues have periodically emerged offering high salaries to lure foreign stars - the United States, Japan, and China being prominent examples. Less well known, however, is the case of Colombia. The Colombian professional football league was a brief but remarkable experiment that attracted top South American and European players in the early 1950s, commonly referred to as El Dorado.

Drawing on a wide array of archival material and other primary sources, this book explores how a small, economically underdeveloped country with no established football tradition managed to finance such a high-profile "pirate" league while confronting the international football establishment. It examines the economic and social conditions that made it possible to field world-class players such as Alfredo Di Stefano and Charlie Mitten, and explicitly addresses the domestic and international circumstances that allowed so powerful a league to emerge so far from football's traditional centers of power.

This book also traces the collapse of the league and its lasting ramifications for the history of football in the region. It will be of great interest to readers in sports economics, sports history, economic history, and Latin American studies.

This book explores the deep impact of AI and digital transformation on finance, its practices and decision intelligence processes. The book and its practical, analytical chapters present further insights regarding ways to effectively utilize AI, potentially even beyond the existing theoretical and practical knowledge. Regulatory, ethical, security, and moral challenges and concerns associated with the use of AI in finance are thoroughly analyzed.

Readers will take away a conceptual and practical understanding of AI and digitalization as well as real-world practical case studies, so that they can be applied appropriately in a workplace setting. It aims to differentiate itself by focusing more specifically on the practical realities of AI and digital transformation in decision-making processes within finance, offering actionable guidance and real-world case study or implications, which are less emphasized in most other competitors.

The book is appropriate for experts and professionals interested in deployment of AI, digitalization and their implementation in finance. No doubt, academics, professionals, students, and finance experts will find this book an informative practice resource. The book would suit anyone interested in AI and its broader applications in finance or its uses in decision-making processes.

AI-Powered Insurance is a comprehensive exploration of how Artificial Intelligence is revolutionizing the global insurance industry. This book brings together cutting-edge research and real-world case studies, covering AI's transformative impact across underwriting, risk management, customer experience, and policy personalization. It examines emerging technologies, ethical challenges, and security concerns while analyzing machine learning applications in insurance policy evaluation. From automation versus human expertise to bibliometric research trends, the book offers diverse perspectives from leading experts. An essential resource for researchers, practitioners, and policymakers, it charts the future of intelligent, data-driven insurance in an increasingly digital world.

Critically engaging with contributions from both the Global North and South, this book offers a systematic rethinking of Marx's concept of primitive accumulation and its relevance to contemporary capitalism. The book argues that recent attempts to reinterpret dispossession often suffer from conceptual overstretch and a neglect of production and class relations.

The book's focus is the concept of expanded primitive accumulation: an ongoing, capitalist state-mediated process of extra-economic coercion that separates producers from privately owned, communal, and state-owned means of production and subsistence. This concept is situated within a broader framework that distinguishes and relates primitive accumulation, labour exploitation, normal capitalist exchange relations, and class differentiation within the totality of capitalist social relations. The analysis foregrounds the capitalist state as both enforcer and manager of dispossession, and shows that such processes are shaped by class struggle and require ideological legitimation.

Combining theoretical reconstruction with empirical analysis, including a case study from Odisha, India, the book develops the political implications of dispossession, emphasizing the need for working-class leadership in struggles against capitalism. It will be of interest to scholars and students across the social sciences, as well as to readers concerned with Marxist political and economic thought, capitalism, dispossession, and the state.

Do you find mastering research and statistical methods in the vast field of social sciences daunting? This book serves as an accessible introduction, guiding you through the core concepts needed to navigate data with confidence. From designing a study to presenting results, this text goes back to basics and provides a modern approach to understanding statistics.

This first edition also offers:

• Comprehensive Coverage: Explores essential statistical methods relevant to social sciences, from descriptive statistics to spatial and temporal pattern analysis.
• An Accessible Writing Style: Engages students with a science communication approach, simplifying complex concepts.
• Visual Learning: Utilises figures and graphics to enhance understanding, making data presentation a key focus.
• Global Relevance: Includes examples with broad global applicability.

With an array of online resources, this book is a must-have resource for building foundational skills in research and statistics as a beginner social scientist.

As Islamic finance evolves in the digital era, artificial intelligence (AI) stands out as both a disruptor and an enabler. Islamic Finance and Artificial Intelligence: Ethics, Compliance, and Digital Innovation provides a pioneering examination of how AI technologies can be integrated into Islamic financial systems while maintaining adherence to Shari'ah principles and ethical governance.

The book explores AI-driven tools and their implications for Shari'ah-compliant operations. It critically examines issues of algorithmic transparency, accountability, and the governance of digital financial services within Islamic ethical frameworks. By combining rigorous conceptual analysis with contemporary industry developments, the book demonstrates how digital innovation can enhance efficiency, financial inclusion, and responsible financial practices in Muslim-majority and emerging markets. Presenting a technical deep dive into AI development, the book showcases methodologies, tools, and innovative applications tailored to Islamic financial products and services, with a discussion on blockchain, smart contracts, and other technologies designed to uphold Shari'ah compliance. Further, it provides a comprehensive risk analysis of AI adoption in Islamic finance that relates to ethical challenges, operational risks and systemic threats.

The book bridges academia, industry, and policy, offering practical insights and forward-looking strategies for leveraging AI to build a more inclusive, ethical, and innovative future. Situating Islamic finance within the broader digital transformation of the global financial sector, it is essential reading for academics, policymakers, fintech professionals, regulators, and students engaged with financial technology, Islamic economics, and the ethics of algorithmic governance.

This book examines economic integration and peace prospects in Central and South Asia with focus on UTTAPI countries-Uzbekistan, Turkmenistan, Tajikistan, Afghanistan, Pakistan, and India. It analyzes trade impact on national economies, transportation corridors, and regional development patterns. It addresses India's strategic role through TAPI pipeline and military cooperation initiatives, and also:

• Examines economic integration among UTTAPI countries (Uzbekistan, Turkmenistan, Tajikistan, Afghanistan, Pakistan, and India).

• Addresses India's strategic role in Central and South Asian integration through initiatives including TAPI gas pipeline, DUSTLIK military exercises, and infrastructure development.

• Analyzes Afghanistan's stability as critical factor for regional security and economic connectivity.

• Examines India-Pakistan relations with focus on trade and economic collaboration potential for addressing common challenges.

• Covers transportation and transit corridor development among UTTAPI countries.

This title has been co-published with Knowledge World Publishers. T&F does not sell or distribute the print versions in Bangladesh, Bhutan, India, Nepal, Pakistan, and Sri lanka.

The BRICS grouping - Brazil, Russia, India, China, and South Africa - jointly founded the New Development Bank and the Contingent Reserve Arrangement as part of their efforts to constitute a trade, monetary, and geopolitical bloc. Yet the inability to deal collectively with external pressures, intra-group tensions, and ideological divergences has hampered efforts to establish a coherent and articulated strategy. Nevertheless, given their centrality to the production, circulation, and consumption of agricultural commodities and food products; their abundant reserves of labour and natural resources, and the scale of their domestic markets, the development trajectories of the BRICS countries remain crucial to understanding the future not only of the global agrifood system but also of capitalism itself.

Engaging with recent debates in comparative capitalism and food regime approaches, this book provides a comparative institutional analysis of the BRICS 'varieties of capitalism' and their role in the international reordering of the contemporary 'food regime'. It is argued that the historically embedded legacy of the agrarian question in the institutional configurations and class relations of each country can help to explain the institutional diversity of capitalism. Conversely, to the extent that the dynamics of the agrifood system have a decisive influence on their overall development trajectories, the BRICS-driven shifts in the food regime have much to reveal about the new period of global capitalism that will follow the eventual demise of the neoliberal era.

Opening an original and innovative agenda of empirical and theoretical research, the book will appeal to an international readership interested in agrarian political economy, economic sociology, rural and agrifood studies, and the future of the global economy.

Big Data analytics have emerged as a powerful tool, transforming the global financial market by enabling more informed decision-making, enhancing predictive capabilities and improving risk management. By leveraging vast amounts of data, advanced analytics can provide real-time insights into market trends, forecast potential downturns and identify investment opportunities. This innovative book is one of the first advanced textbooks to address the rapidly evolving field of Big Data in finance.

Drawing on the author's extensive research, consulting and teaching experience, it applies advanced theoretical and empirical methods to massive high-frequency databases to explore important areas of finance, including market efficiency, equities, fixed income securities, options and market microstructure. The book begins with an introduction to risk and uncertainty before exploring applications of advanced analytics to daily data, as well as applications to big data with intraday data. It concludes with suggestions for future work. Raw databases, SAS software code and intermediate and output data files are made available to enable readers to work with real data and perform their own analyses.

Advanced Analytics in Financial Markets is the ideal textbook for advanced undergraduate and graduate courses in finance, big data and advanced analytics, as well as a reference book for scholars and practitioners.

Providing a comprehensive feminist political economy analysis of gender and global trade, this book challenges existing approaches to gender in global trade governance that prioritise market-based solutions to inequality.

The authors reveal how the power dynamics shaping trade governance unfold on gendered terrain. Tracing the emergence of gender mainstreaming in trade and its implementation in digital and food trade, they caution that dominant 'free trade feminist' approaches risk perpetuating gender-based and intersectional inequalities.

Weaving rigorous academic theory with cutting-edge policy analysis, they disrupt conventional wisdom about women's empowerment in trade and establish a feminist research agenda for transformative trade governance.

Blockchain Technology in Water Management and New Energy Economy explores the transformative role of blockchain in addressing two of the most pressing global challenges: efficient water resource management and the transition to a sustainable energy future. As climate change, population growth, and urbanization exert increasing pressure on natural resources, traditional systems for managing water and energy are proving inadequate. This book presents blockchain as a powerful enabler of transparency, decentralization, and trust in resource governance, offering innovative solutions that can reshape these critical sectors. The book is divided into two major sections. The first focuses on water management, covering how blockchain can enhance monitoring, prevent water theft, support real-time quality assessments, and enable equitable distribution through smart contracts. It examines case studies where decentralized ledger technology has improved water conservation, optimized irrigation systems in agriculture, and facilitated peer-to-peer water trading.

The second section delves into the new energy economy, highlighting blockchain's potential in supporting renewable energy integration, smart grids, decentralized energy markets, and carbon credit tracking. It discusses how blockchain can empower consumers to become "prosumers" - both producing and consuming energy - while maintaining secure and traceable transactions. Additionally, the book explores cross-cutting themes such as data privacy, regulatory challenges, scalability, and the socio-economic impact of blockchain adoption. Through real-world examples, technical insights, and forward-looking perspectives, this book provides a comprehensive guide for researchers, policy makers, engineers, and sustainability advocates seeking to understand and apply blockchain technology for a greener and more resource-efficient future.