Download Free The New Economics And The New Physics Book in PDF and EPUB Free Download. You can read online The New Economics And The New Physics and write the review.

In 1517, Martin Luther nailed his 95 theses to the wall of Wittenberg church. He argued that the Church’s internally consistent but absurd doctrines had pickled into a dogmatic structure of untruth. It was time for a Reformation. Half a millennium later, Steve Keen argues that economics needs its own Reformation. In Debunking Economics, he eviscerated an intellectual church – neoclassical economics – that systematically ignores its own empirical untruths and logical fallacies, and yet is still mysteriously worshipped by its scholarly high priests. In this book, he presents his Reformation: a New Economics, which tackles serious issues that today's economic priesthood ignores, such as money, energy and ecological sustainability. It gives us hope that we can save our economies from collapse and the planet from ecological catastrophe. Performing this task with his usual panache and wit, Steve Keen’s new book is unmissable to anyone who has noticed that the economics Emperor is naked and would like him to put on some clothes.
The beauty of science may be pure and eternal, but the practice of science costs money. And scientists, being human, respond to incentives and costs, in money and glory. Choosing a research topic, deciding what papers to write and where to publish them, sticking with a familiar area or going into something new—the payoff may be tenure or a job at a highly ranked university or a prestigious award or a bump in salary. The risk may be not getting any of that. At a time when science is seen as an engine of economic growth, Paula Stephan brings a keen understanding of the ongoing cost-benefit calculations made by individuals and institutions as they compete for resources and reputation. She shows how universities offload risks by increasing the percentage of non-tenure-track faculty, requiring tenured faculty to pay salaries from outside grants, and staffing labs with foreign workers on temporary visas. With funding tight, investigators pursue safe projects rather than less fundable ones with uncertain but potentially path-breaking outcomes. Career prospects in science are increasingly dismal for the young because of ever-lengthening apprenticeships, scarcity of permanent academic positions, and the difficulty of getting funded. Vivid, thorough, and bold, How Economics Shapes Science highlights the growing gap between the haves and have-nots—especially the vast imbalance between the biomedical sciences and physics/engineering—and offers a persuasive vision of a more productive, more creative research system that would lead and benefit the world.
The concepts of statistical physics and big data play an important role in the evidence-based analysis and interpretation of macroeconomic principles. The techniques of complex networks, big data, and statistical physics are useful to understand theories of economic systems, and the authors have applied these to understand the intricacies of complex macroeconomic problems. Recent research work using tools and techniques of big data, statistical physics, complex networks, and statistical science is covered, and basic graph algorithms and statistical measures of complex networks are described. The application of big data and statistical physics tools to assess price dynamics, inflation, systemic risks, and productivity is discussed. Chapter-end summary and numerical problems are provided to reinforce understanding of concepts.
How to empower people and communities with user-centric data ownership, transparent and accountable algorithms, and secure digital transaction systems. Data is now central to the economy, government, and health systems—so why are data and the AI systems that interpret the data in the hands of so few people? Building the New Economy calls for us to reinvent the ways that data and artificial intelligence are used in civic and government systems. Arguing that we need to think about data as a new type of capital, the authors show that the use of data trusts and distributed ledgers can empower people and communities with user-centric data ownership, transparent and accountable algorithms, machine learning fairness principles and methodologies, and secure digital transaction systems. It’s well known that social media generate disinformation and that mobile phone tracking apps threaten privacy. But these same technologies may also enable the creation of more agile systems in which power and decision-making are distributed among stakeholders rather than concentrated in a few hands. Offering both big ideas and detailed blueprints, the authors describe such key building blocks as data cooperatives, tokenized funding mechanisms, and tradecoin architecture. They also discuss technical issues, including how to build an ecosystem of trusted data, the implementation of digital currencies, and interoperability, and consider the evolution of computational law systems.
Positive feedback--when A produces B, which in turn produces even more A--drives not only abrupt climate changes, but also disruptive events in economics and finance, from asset bubbles to debt crises, bank runs, even corporate corruption. But economists, with few exceptions, have ignored this reality for fifty years, holding on to the unreasonable belief in the wisdom of the market. It's past time to be asking how markets really work. Can we replace economic magical thinking with a better means of predicting what the financial future holds, in order to prepare for--or even avoid--the next extreme economic event? Here, physicist and acclaimed science writer Mark Buchanan answers these questions and more in a master lesson on a smarter economics, which accepts that markets act much like weather. Market instability is as natural--and dangerous--as a prairie twister. With Buchanan's help, perhaps we can better govern the markets and weather their storms.
The development of the energy concept in Western physics and its subsequent effect on the emergence of neoclassical economics are traced to reveal how economics has sought to emulate physics, especially with regard to the theory of value.
This book presents a new economic theory developed from physical and biological principles. It explains how technology, social systems and economic values are intimately related to resources. Many people have recognized that mainstream (neoclassical) economic theories are not consistent with physical laws and often not consistent with empirical patterns, but most feel that economic activities are too complex to be described by a simple and coherent mathematical theory. While social systems are indeed complex, all life systems, including social systems, satisfy two principles. First, all systems need to extract resources from the external environment to compensate for their consumption. Second, for a system to be viable, the amount of resource extraction has to be no less than the level of consumption. From these two principles, we derive a quantitative theory of major factors in economic activities, such as fixed cost, variable cost, discount rate, uncertainty and duration. The mathematical theory enables us to systematically measure the effectiveness of different policies and institutional structures at varying levels of resource abundance and cost.The theory presented in this book shows that there do not exist universally optimal policies or institutional structures. Instead, the impacts of different policies or social structures have to be measured within the context of existing levels of resource abundance. As the physical costs of extracting resources rise steadily, many policy assumptions adopted in mainstream economic theories, and workable in times of cheap and abundant energy supplies and other resources, need to be reconsidered. In this rapidly changing world, the theory presented here provides a solid foundation for examining the long-term impacts of today's policy decisions.
A critical examination of economics' past and future, and how it needs to change, by one of the most eminent political economists of our time The dominant view in economics is that money and government should play only minor roles in economic life. Economic outcomes, it is claimed, are best left to the "invisible hand" of the market. Yet these claims remain staunchly unsettled. The view taken in this important new book is that the omnipresence of uncertainty makes money and government essential features of any market economy. Since Adam Smith, classical economics has espoused non-intervention in markets. The Great Depression brought Keynesian economics to the fore; but stagflation in the 1970s brought a return to small-state orthodoxy. The 2008 global financial crash should have brought a reevaluation of that stance; instead the response has been punishing austerity and anemic recovery. This book aims to reintroduce Keynes’s central insights to a new generation of economists, and embolden them to return money and government to the starring roles in the economic drama that they deserve.
A decade after the financial crisis, there is a growing consensus that economics has failed and needs to go back to the drawing board. David Orrell argues that it has been trying to solve the wrong problem all along. Economics sees itself as the science of scarcity. Instead, it should be the science of money (which plays a surprisingly small role in mainstream theory). And money is a substance that turns out to have a quantum nature of its own. Just as physicists learn about matter by studying the exchange of particles at the subatomic level, so economics should begin by analysing the nature of money-based transactions. Quantum Economics therefore starts with the meaning of the phrase 'how much' – or, to use the Latin word, quantum. From quantum physics to the dualistic properties of money, via the emerging areas of quantum finance and quantum cognition, this profoundly important book reveals that quantum economics is to neoclassical economics what quantum physics is to classical physics – a genuine turning point in our understanding.