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An insightful and thorough exploration of the economies of Asia

In Asian Economies: History, Institutions and Structure, seasoned economist and professor Jamus Jerome Lim provides a comprehensive discussion and incisive analysis of the economies of Asia. In addition to discussing the sharp contrasts between the region's three major economies-China, India, and Japan-Lim also provides an overview of the rise of the Dragon economies of the East, to the resource-rich economies of the West. The book adopts a unique approach to the treatment of these economies, weaving in aspects of these countries' economic geography and history, their idiosyncratic institutions and structures, along with providing a comparative and international perspective.

The book offers:

• Careful emphasis on the geographic preconditions and enduring legacy of economic history on the contemporary and future prospects of each of the countries and regions discussed within
• Examinations of the importance of the political and economic institutions, as well as market and industrial structures, in shaping the trajectories of the economies considered in the book
• Discussions of the dramatic differences and similarities between the Asian economies, as well as how these differences shape these economies' interactions with the rest of the world

Perfect for undergraduate and graduate students of economics, Asian Economies will also earn a place on the bookshelves of business and finance professionals seeking to understand the economies of the world's most diverse and dynamic region.

An introduction to the burgeoning field of food studies

Popular and intellectual interest in food is on the rise. The breadth of concerns surrounding food ranges from animal welfare and climate change's impact on food production to debates on the healthfulness of carbohydrates and fats, and fair compensation for restaurant and farm workers. Not only is there an expanding conversation about the ways in which we produce and consume our food, but there is growing attention being placed on the myriad ways in which food expresses and shapes shifting identities.
Practicing Food Studies details the turn of the twenty-first century development and flourishing of food studies as a multidisciplinary field, focusing on its establishment at New York University. Food studies scholars have come from various fields such as history, sociology, economics, political science, nutrition, or public policy, but often felt limited by the conventions of their traditional discipline. Many gravitated to food studies to be able to describe and critically examine their specific areas of interest beyond the borders of academic disciplines. This volume explores the history of knowledge in which NYU Food Studies emerged, providing the opportunity to reflect on how academic fields are created and evolve as a response to institutional constraints and opportunities, the landscape of ideas, social movements, and public conversations.
Practicing Food Studies is a compelling collection of essays compiling the research, ideas, and experiences of faculty members and graduates of the NYU Food Studies program-mapping the paths for intellectual and social engagement with food systems and its most urgent issues.

Data science is a fast-emerging field of study and research. It mainly leverages integrated data analytics platforms, and in the recent past, the arrival of artificial intelligence (AI) technologies and tools to extract actionable insights out of burgeoning data volumes has totally changed the game of data science. Machine and deep learning (ML/DL) algorithms are the principal technologies of the AI paradigm. There are innovations and improvisations in the AI ecosystem that make sense out of a massive quantity of multi-structured data. The data science domain is acquiring special significance these days as businesses and governments across the globe need to fulfil the long-standing goal of data-driven insights and insight-driven decisions. Transitioning data into information and knowledge plays a pivotal role for worldwide enterprises and establishments in effectively initiating and implementing next-generation digital transformation projects.

Programming statistics and probability applications are key to this vital transformation of data into knowledge and insight. Probability and statistics are also key to decision-making processes that data science is automating. Demystifying Probability and Statistics for Data Scientists with R illustrates statistics with the R programming language, an emerging tool in data science. Filled with techniques for data science and analytics programming, this book is written for students and professionals. It is focused on learning outcomes and problem solving. Beginning with the basics of R programming, data science, and probability, the book progresses to methods, testing, and experiment design. Highlights of the book include:

• Types of data and collection methods
• Data visualization methods
• Probability basics
• Random variables and distributions
• Sampling methods and confidence intervals and hypothesis testing
• Design of experiments
• Correlation and regression
• Chi square test
• Non-parametric tests

This volume examines and analyzes the current situation of, and the future prospects for, the Japanese economy, particularly in the context of inequality. The country's economy is facing the ageing and the shrinking of its population, both of which will reduce the potential growth rate, which has already become very low.

By introducing a new policy framework, namely the `Equity-Growth-Small Government Impossible Triangle', based on reviewing, comparing and contrasting the policies of the United States, the Nordic economies and Japan, the book proposes a policy direction that could be pursued by Japan. If Japan wants to sustain growth while preventing inequality to widen and preserve an egalitarian society, there is no other choice but to further promote globalization and innovation and, at the same time, surrender preserving a small government by reforming itself to become a dynamic and resilient welfare state.

The volume will be an invaluable resource for students, professionals and researchers with an interest in economics, inequality, the Japanese economy and comparative economic policies.

The Companion to Development Studies is essential reading in the field of development studies. This indispensable resource offers succinct, up-to-date, and insightful chapters that reflect the diverse voices and perspectives informing the field and the dynamic interplay of theory, policy, and practice that characterises it.

This fourth edition brings together contributions from an impressive range of renowned international experts and emerging voices at the forefront of development studies to deliver engaging, interdisciplinary, and provocative insights into this challenging field. The 98 chapters spanning both theory and practice offer readers accessible discussions of the core issues, emerging trends, and key debates of the discipline. Divided into nine sections of: theories and their contentions; histories and discourses of development; actors and institutions; identities and practices; people and the planet; the economics of development; conflict, violence, and peace; the changing landscape of development; and approaches to policy and practice; this timely new text provides easy to use summaries of all the major issues encountered in this rapidly growing and changing field.

The Companion serves students and scholars across various disciplines, including development studies, geography, politics, international relations, sociology, anthropology, and economics. It offers incisive analysis and critical insights, equipping those working in development policy and practice with the knowledge and understanding they need to navigate and address contemporary global challenges.

This textbook is supported by flexible, online resources for teaching and learning such as tutorial guides, key concept videos, and a filmography.

Argues that the dairy industry in Japan has always been entwined with notions of Otherness and security seeking, notably in terms of frontiers.

Hokkaido Dairy Farm offers a historical and ethnographic examination of the rapid industrialization of the dairy industry in Tokachi, Hokkaido. It begins with a history of dairy farming and consumption in Hokkaido from a macro perspective, mapping the transition from survival to subsistence and then from mixed family farms to monoculture and "mega" industrial operations. It then narrows the focus to examine concrete changes in a Tokachi-area dairying community that has undergone rapid sociocultural upheaval over the last three decades, with shifts in human relationships alongside changes in human and cow connections through new technologies. In the final chapters, the scope is further narrowed to a detailed history and ethnography of a single industrializing dairy farm and the morphing cast of individuals attached to it, centering on their idiosyncratic searches for economic, social, and even ontological security in what is popularly considered a peripheral region and industry. The culmination of over fifteen years of ethnographic, policy, and historical research, Hokkaido Dairy Farm argues that the dairy industry in Japan has always been entwined with notions of Otherness and security seeking, notably in terms of frontiers.

This expanded and revised sixth edition of The Geography of Transport Systems provides a comprehensive and accessible introduction to the field with a broad overview of its concepts, methods, and areas of application. It explores the spatial aspects of transportation and focuses on how the mobility of passengers and freight is linked with geography.

The book is divided into ten chapters, each covering a specific conceptual dimension, including networks, modes, terminals, freight transportation, urban transportation, and environmental impacts, and updated with the latest information available. The sixth edition offers new and updated material on information technologies and mobility, e-commerce, transport and the economy, mobility and society, supply chains, security, pandemics, energy and the environment, and climate change. With over 140 updated figures and maps, The Geography of Transport Systems presents transportation systems at different scales ranging from global to local.

This volume is an essential resource for undergraduates studying transportation, as well as those interested in economic and urban geography, transport planning and engineering. A companion website, which contains additional material such as photographs, maps, figures, and PowerPoint presentations, has been developed for the book and can be found here: https://transportgeography.org/

This book examines the role and position of urban agriculture in the spatial and functional structure of cities in the Global South.

In the face of dynamic urbanisation and negative consequences of climate change, one of the key challenges is not only how to provide food for the ever-growing urban population but also how to achieve urban sustainability and simultaneously reduce the negative impact of cities on the natural environment. These problems are particularly urgent in the metropolises of the Global South that are experiencing the greatest population growth while struggling with increasing social inequalities and the resulting uneven distribution of resources. Examining the role that urban agriculture can play in addressing these challenges, this book draws on three case study cities: Havana, Singapore and Kigali. The case studies, differing in socio-economic, spatial, political and environmental terms, exemplify diverse characteristics of urban agriculture in different geographical conditions. Drawing on fieldwork conducted in each city, the book also provides a unique perspective on the constraints in the development of urban agriculture and the use of its full potential for urban sustainability.

This book will appeal to students and scholars, as well as decision makers, interested in the issues of urban sustainability, food security, spatial development and alternative food systems.

Since the nation's independence, the union and state governments of India have employed a variety of development strategies, some of which have evolved over time. The model of development implemented in Bihar in recent decades is different from its prior development strategies. Along with a number of social reform initiatives, the Bihar government implemented the "development-with-justice" model to enhance the lives and living circumstances of the most marginalized groups of the population and ensure the attainment of social justice.
In light of the aforementioned context, this book offers an understanding of the various aspects of the Bihar government's "development-with-justice" model, and the effects of its implementation on lives and quality of living conditions of the state's underprivileged population. The book covers a wide spectrum of areas such as history of social reform measures, social justice in education, health, labour market, etc., caste- and gender-based discrimination, women's empowerment, migrant workers, poverty, inequality, agrarian concerns, planning for development, and so on. Besides recommending policies to improve the state's development outcomes, this book will aid researchers in identifying topics that may require additional research.

Clearly researched, concise, and up-to-date, this book will be useful to the students and researchers from the fields of development economics, development studies, gender studies, sociology, political science, economic history, as well as the policy-planners in the government.

How the booming Islamic finance industry became an ultramodern hybrid of religion and markets

In just fifty years, Islamic finance has grown from a tiny experiment operated from a Volkswagen van to a thriving global industry worth more than the entire financial sector of India, South America, or Eastern Europe. You can now shop with an Islamic credit card, invest in Islamic bonds, and buy Islamic derivatives. But how has this spectacular growth been possible, given Islam's strictures against interest? In The Paradox of Islamic Finance, Ryan Calder examines the Islamic finance boom, arguing that shariah scholars-experts in Islamic law who certify financial products as truly Islamic-have made the industry a profitable, if controversial, hybrid of religion and markets.

Critics say Islamic finance merely reproduces conventional interest-based finance, with the shariah scholars' blessing. From an economic perspective, they are right: the most popular Islamic products act like conventional interest-bearing ones, earning healthy profits for Islamic banks and global financial heavyweights like Deutsche Bank and Goldman Sachs. Yet as Calder shows by delving into the shariah scholars' day-to-day work, what seem like high-tech work-arounds to outsiders carry deep and nuanced meaning to the scholars-and to the hundreds of millions of Muslims who respect their expertise. He argues that shariah scholars' conception of Islamic finance is perfectly suited to the age of financialization and the global efflorescence of shariah-minded Islam.

Decolonization has long been debated across the social sciences, but the economics discipline has so far avoided such critical engagement. This book provides a much-needed intervention.

Dutt, Alves, Kesar, and Kvangraven uncover the deeply Eurocentric foundations that shape how economists study the world today. These have rendered the discipline ill-equipped to tackle critical questions, such as structural racism, uneven development, the climate crisis, labour relations, and how structural power shapes economic outcomes. Decolonizing economics entails challenging the norms of neutrality and objectivity that economists claim to speak from, while fostering alternative ways of understanding the economy that take seriously structural power relations and contemporary processes of economic development. Readers will come to understand the political stakes of decolonization and the wide range of scholarship that already exists that can help us grasp economics from non-Eurocentric perspectives. Through such scholarship, we can gain an enriched understanding of capitalism and its relationship to exploitation, colonialism, and racialization.

The author order is randomized. All authors contributed equally to the book.

Learning a computer language like R can be either frustrating, fun or boring. Having fun requires challenges that wake up the learner's curiosity but also provide an emotional reward for overcoming them. The book is designed so that it includes smaller and bigger challenges, in what I call playgrounds, in the hope that all readers will enjoy their path to R fluency. Fluency in the use of a language is a skill that is acquired through practice and exploration. For students and professionals in the biological sciences, humanities and many applied fields, recognizing the parallels between R and natural languages should help them feel at home with R. The approach I use is similar to that of a travel guide, encouraging exploration and describing the available alternatives and how to reach them. The intention is to guide the reader through the R landscape of 2024 and beyond.

What is new in the second edition?

• Text expanded by more than 25% to include additional R features and gentler and more detailed explanations
• Contains 24 new diagrams and flowcharts, seven new tables, and revised text and code examples for clarity
• All three indexes were expanded, and answers to 28 frequently asked questions added

What will you find in this book?

• Programming concepts explained as they apply to current R
• Emphasis on the role of abstractions in programming
• Few prescriptive rules-mostly the author's preferences together with alternatives
• Presentation of the R language emphasizing the "R way of doing things"
• Tutoring for "programming in the small" using scripts for data analysis
• Explanation of the differences between R proper and extensions for data wrangling
• The grammar of graphics is described as a language for the construction of data visualisations
• Examples of data exchange between R and the foreign world using common file formats
• Coaching to become an independent R user, capable of writing original scripts and solving future challenges

Maximum Likelihood Estimation with Stata, Fifth Edition is the essential reference and guide for researchers in all disciplines who wish to write maximum likelihood (ML) estimators in Stata. Beyond providing comprehensive coverage of Stata's commands for writing ML estimators, the book presents an overview of the underpinnings of maximum likelihood and how to think about ML estimation.

The fifth edition includes a new second chapter that demonstrates the easy-to-use mlexp command. This command allows you to directly specify a likelihood function and perform estimation without any programming.

The core of the book focuses on Stata's ml command. It shows you how to take full advantage of ml's noteworthy features:

• Linear constraints
• Four optimization algorithms (Newton-Raphson, DFP, BFGS, and BHHH)
• Observed information matrix (OIM) variance estimator
• Outer product of gradients (OPG) variance estimator
• Huber/White/sandwich robust variance estimator
• Cluster-robust variance estimator
• Complete and automatic support for survey data analysis
• Direct support of evaluator functions written in Mata

When appropriate options are used, many of these features are provided automatically by ml and require no special programming or intervention by the researcher writing the estimator.

In later chapters, you will learn how to take advantage of Mata, Stata's matrix programming language. For ease of programming and potential speed improvements, you can write your likelihood-evaluator program in Mata and continue to use ml to control the maximization process. A new chapter in the fifth edition shows how you can use the moptimize() suite of Mata functions if you want to implement your maximum likelihood estimator entirely within Mata.

In the final chapter, the authors illustrate the major steps required to get from log-likelihood function to fully operational estimation command. This is done using several different models: logit and probit, linear regression, Weibull regression, the Cox proportional hazards model, random-effects regression, and seemingly unrelated regression. This edition adds a new example of a bivariate Poisson model, a model that is not available otherwise in Stata.

The authors provide extensive advice for developing your own estimation commands. With a little care and the help of this book, users will be able to write their own estimation commands---commands that look and behave just like the official estimation commands in Stata.

Whether you want to fit a special ML estimator for your own research or wish to write a general-purpose ML estimator for others to use, you need this book.

The breadth of problems that can be solved with data science is astonishing, and this book provides the required tools and skills for a broad audience. The reader takes a journey into the forms, uses, and abuses of data and models, and learns how to critically examine each step. Python coding and data analysis skills are built from the ground up, with no prior coding experience assumed. The necessary background in computer science, mathematics, and statistics is provided in an approachable manner.

Each step of the machine learning lifecycle is discussed, from business objective planning to monitoring a model in production. This end-to-end approach supplies the broad view necessary to sidestep many of the pitfalls that can sink a data science project. Detailed examples are provided from a wide range of applications and fields, from fraud detection in banking to breast cancer classification in healthcare. The reader will learn the techniques to accomplish tasks that include predicting outcomes, explaining observations, and detecting patterns. Improper use of data and models can introduce unwanted effects and dangers to society. A chapter on model risk provides a framework for comprehensively challenging a model and mitigating weaknesses. When data is collected, stored, and used, it may misrepresent reality and introduce bias. Strategies for addressing bias are discussed. From Concepts to Code: Introduction to Data Science leverages content developed by the author for a full-year data science course suitable for advanced high school or early undergraduate students. This course is freely available and it includes weekly lesson plans.

Many applied researchers equate spatial statistics with prediction or mapping, but this book naturally extends linear models, which includes regression and ANOVA as pillars of applied statistics, to achieve a more comprehensive treatment of the analysis of spatially autocorrelated data. Spatial Linear Models for Environmental Data, aimed at students and professionals with a master's level training in statistics, presents a unique, applied, and thorough treatment of spatial linear models within a statistics framework. Two subfields, one called geostatistics and the other called areal or lattice models, are extensively covered. Zimmerman and Ver Hoef present topics clearly, using many examples and simulation studies to illustrate ideas. By mimicking their examples and R code, readers will be able to fit spatial linear models to their data and draw proper scientific conclusions.

Topics covered include:

• Exploratory methods for spatial data including outlier detection, (semi)variograms, Moran's I, and Geary's c.
• Ordinary and generalized least squares regression methods and their application to spatial data.
• Suitable parametric models for the mean and covariance structure of geostatistical and areal data.
• Model-fitting, including inference methods for explanatory variables and likelihood-based methods for covariance parameters.
• Practical use of spatial linear models including prediction (kriging), spatial sampling, and spatial design of experiments for solving real world problems.

All concepts are introduced in a natural order and illustrated throughout the book using four datasets. All analyses, tables, and figures are completely reproducible using open-source R code provided at a GitHub site. Exercises are given at the end of each chapter, with full solutions provided on an instructor's FTP site supplied by the publisher.

The global community is at a critical moment in its pursuit of the Sustainable Development Goals (SDGs); crises are threatening decades of development gains, further delaying the urgent transition to greener, more inclusive economies, and throwing progress on the SDGs even further off track. When it comes to sustainability and combating our current climate emergency, we need sustainable solutions that can protect our water, energy and food resources while also aiming for zero waste.

Sustainable Development Goals considers these solutions throughout twelve chapters, introducing the subject of sustainable development then delving into detail of the framework to address these gaps and shortages in different disciplines and sectors. The global drivers of change are analysed and the opportunities and challenges of attainment of development goals are investigated.

Contemporary Studies in Economic and Financial Analysis publishes a series of current and relevant themed volumes within the fields of economics and finance. Both disciplinary and interdisciplinary studies are welcome.

Non-Fungible Tokens (NFTs) have blossomed into an area of immense cultural, investment, and academic interest, and this groundswell of fascination with non-fungible digital tokenization has been accompanied by a variety of attitudes towards their function, purpose, and potential. Some advocates perceive NFTs to be revolutionary in character, reshaping notions of the construction and preservation of unique assets in the digital realm. At the same time, a notable number of skeptics and detractors view the NFT movement as a passing and overhyped fad at best, and a disingenuous ploy in the digital economy at its worst. Given the diversity of views that have emerged in a comparatively brief span, this book draws upon rich academic perspectives on NFTs from a variety of disciplines, including: computer science, cultural studies, mathematics, sociology, linguistics, mass communication, economics, and finance.

The book teases out nuances in how NFTs can and should operate, while also pointing to the potential that these non-fungible assets wield in the digital sphere, along with countervailing arguments against their conceptual and functional salience, and perhaps some dangers that they pose. The book considers the longevity and viability of NFTs as sociocultural, technological, and economic phenomenon, while offering estimates of future paths that NFTs might take in each domain and weighs the opposing narratives and strikes balanced assessments of the legal, cultural, technological, economic, and political role of NFTs in modern society.

With its panoramic display of analysis on NFTs, the book will be of particular interest to scholars and researchers across a wide number of subjects.

A remedy for the gap between micro and macro data, making measures of inequality and national income consistent with each other

Increasing inequality, the impact of globalization, and the disparate effects of financial regulation and innovation are extraordinarily important topics that fuel spirited policy debates. And yet the facts underlying these debates are of doubtful accuracy. In reality, as Archawa Paweenawat and Robert Townsend show in Inequality and Globalization, there is a large gap between micro household surveys, which measure key outcomes such as inequality, and aggregated financial accounts, which measure macroeconomic totals and growth. Paweenawat and Townsend propose a remedy: integrated financial accounts, in which the flows in income statements, including saving and investment, are consistent with the changes in financial assets and liabilities in the balance sheet at micro and macro levels. None of the leading US micro household surveys or macro accounts meets this criterion.

Drawing on extensive data from fieldwork in Thailand, Paweenawat and Townsend show how consistent integrated financial accounts at the individual household and small enterprise level can be created using household and firm survey data. Aggregated to the village level, these accounts can link anecdotal stories of individual households to their financial accounts, document the real impact on them from growth, and assess what would have happened to them if trade and financial liberalization had not been allowed. Paweenawat and Townsend then describe the next logical step: creating integrated financial accounts for the United States, working from the ground up and the top down. Only with these integrated accounts will policy debates on inequality and globalization have a solid factual basis.

2024 Outstanding Academic Title, given by Choice Reviews

Explores fracking's dual impact on settler colonial culture and sustainability
Through meticulous research and poignant storytelling, Land of Extraction unravels the complex web of relationships between humans, places, and the environment, all bound by the concept of private property. It presents a thought-provoking analysis of how settler colonial culture imposes limits on environmental politics.
Drawing on real-life events, fictional portrayals of fossil-fuel driven apocalypses, and firsthand ethnographic accounts of the fracking and pipeline boom in West Virginia, Rebecca R. Scott argues that the American dream's promise of empowerment through property ownership actually restricts action against extractive industries and hampers the progress of environmental justice coalitions.
As the ever-expanding reach of natural gas and pipeline industries takes its toll on communities, the book reveals the fractures in landowners' reliance on private property, opening the door to more sustainable futures. A powerful call to reevaluate our perspectives and challenge the status quo, this book will leave readers questioning the foundations of our society and the possibilities that lie ahead.

This book provides a broad overview of the areas of artificial intelligence (AI) that can be used for smart farming applications, through either successful engineering or ground-breaking research. Among them, the highlighted tactics are soil management, water management, crop management, livestock management, harvesting, and the integration of Internet of Things (IoT) in smart farming.

Artificial Intelligence and Internet of Things in Smart Farming explores different types of smart framing systems for achieving sustainability goals in the real environment. The authors discuss the benefits of smart harvesting systems over traditional harvesting methods, including decreased labor requirements, increased crop yields, increased probabilities of successful harvests, enhanced visibility into crop health, and lower overall harvest and production costs. It explains and describes big data in terms of its potential five dimensions-volume, velocity, variety, veracity, and valuation-within the framework of smart farming. The authors also discuss the recent IoT technologies, such as fifth-generation networks, blockchain, and digital twining, to improve the sustainability and productivity of smart farming systems. The book identifies numerous issues that call for conceptual innovation and has the potential to progress machine learning (ML), resulting in significant impacts. As an illustration, the authors point out how smart farming offers an intriguing field for interpretable ML. The book then delves into the function of AI techniques, such as AI in accelerating the development of nano-enabled agriculture, thereby facilitating safe-by-design nanomaterials for various consumer products and medical applications.

This book is for undergraduate students, graduate students, researchers, and AI engineers who pursue a strong understanding of the practical methods of machine learning in the agriculture domain. Practitioners and stakeholders would be able to follow this book to understand the potential of ML in their farming projects and agricultural solutions.

Features:
* Explores different types of smart framing systems for achieving sustainability goals in the real environment
* Explores ML-based analytics such as generative adversarial networks (GAN), autoencoders, computational imaging, and quantum computing
* Examines the development of intelligent machines to provide solutions to real-world problems, emphasizing smart farming applications, which are not modeled or are extremely difficult to model mathematically
* Emphasizes methods for better managing crops, soils, water, and livestock, urging investors and businesspeople to occupy the existing vacant market area
* Discusses AI-empowered Nanotechnology for smart farming

Examines local food movement activism in a period of increasing climate chaos and neoliberal crisis, economic inequalities and political divisions
In the face of numerous challenges, small-scale farming for local markets requires enormous courage and optimism. The decision to become a farmer often arises from a profound desire to uphold certain values and beliefs, driven by the moral and emotional motivations to contribute to a greater good.
Central New York's local food market draws a unique cohort of individuals who see farming as more than just a livelihood; it is a way to define a good life and contribute to the well-being of the society they cherish. Their moral order revolves around shared beliefs in sustainability and stewardship of the land, emphasizing health and risk management, cooperation over competition, and a deep sense of justice. For these farmers, relationships and family ties are foundational to their work, creating a strong sense of community within the local food system.
This book delves into the captivating world of local food markets in a "Rust Belt" region of the state, where 51 individuals representing 45 different farms, restaurants, agricultural non-profits, and local food retailers share their inspiring stories through conversations and interviews. Author Stephen Ellingson explores the intricate web of moral commitments, self-understandings, and emotional experiences that drive and sustain small-scale farming for the local food market. By amplifying the voices of these unsung heroes, it gives recognition to the crucial role they play in society and offers important insights into the values that underpin their contributions to the local food system.