This book studies smart green innovation through the prism of social entrepreneurship as a driver for sustainable development and the development of an environmental economy. It systematizes and analyzes the modern challenges of the environmental economy: climate change and environmental pollution. The tendencies and scenarios for the environmental economy are considered in the context of implementing the Sustainable Development Goals. Globalization and international trade are also considered factors in the sustainable development of the environmental economy.The book hones in on the international experience of ecological responsibility and fighting climate change through social entrepreneurship. The contribution of corporate responsibility in the fight against climate change is determined, and state regulation of corporate responsibility in the resource-based economies of developing countries is considered. The market mechanisms for stimulating the fight against climate change through social entrepreneurship in countries with developed environmental economies are also considered. The advantages of digitalization for fighting climate change through social entrepreneurship are offered.The book also reflects on the possibilities for the sustainable development of the environmental economy based on climate-smart innovation in social entrepreneurship. It presents a model of climate-smart enterprise and substantiates its advantages for corporate responsibility and sustainable development. The key climate-smart innovations in social entrepreneurship for sustainable development of the environmental economy—robots big data, AI, blockchain, and green finance—are determined. The book also develops policy recommendations to support climate-smart innovation in social entrepreneurship.

This book introduces and explores the concept of the green entrepreneurial economy. Defined as an economic model centered on environmentally driven business transformations that support sustainable development, it prioritizes environmentally responsible business practices that align with the Sustainable Development Goals (SDGs).The book provides a detailed analysis of future opportunities for sustainable development within the green entrepreneurial economy. It systematically organizes key directions and identifies pressing challenges in this field. The authors share their international expertise, with a particular focus on developed and developing nations, highlighting the unique and pioneering approaches of countries in Central Asia, Russia, and the Eurasian Economic Union (EAEU).Additionally, the book examines sector-specific prospects for advancing sustainability in agriculture, energy, circular industries, and green banking. The authors present their insights, recommendations, and practical solutions, leveraging cutting-edge digital technologies such as blockchain, artificial intelligence (AI), the Internet of Things (IoT), big data, and robotics.

This book is devoted to the study of artificial intelligence from a new perspective – not just a technology but a social institution with complex social connections and relationships. The book systematically highlights technological trends of the artificial intelligence economy and considers all the components of its cascade effect with an overview of international experience and substantiation of promising ways of adapting to the modern stage of technological transit of economic systems. The cascade effect is understood as a chain of interdependent events that are triggered as artificial intelligence takes root in society and the economy. Among the technological trends (current areas of the practical application of artificial intelligence), highlighted in the book, are “smart” homes, digital regions, the use of artificial intelligence to ensure cybersecurity, as well as the optimization of business processes based on artificial intelligence.The book interprets the economics of artificial intelligence as a result of the transition to a digital technological order. A review of modern experience and regulatory perspectives of the institutionalization of the artificial intelligence economy is carried out. The legal framework for combating cyber threats in the artificial intelligence economy has been determined. The promising frameworks for using artificial intelligence in various branches of industry are presented. The book provides practical examples, case studies and proposed frameworks for using AI in various sectors of the economy, which allows using the book as a practical guide to managing the artificial intelligence economy.

This book is devoted to the study of artificial intelligence from a new perspective – not just a technology but a social institution with complex social connections and relationships. The book systematically highlights technological trends of the artificial intelligence economy and considers all the components of its cascade effect with an overview of international experience and substantiation of promising ways of adapting to the modern stage of technological transit of economic systems. The cascade effect is understood as a chain of interdependent events that are triggered as artificial intelligence takes root in society and the economy. Among the technological trends (current areas of the practical application of artificial intelligence), highlighted in the book, are “smart” homes, digital regions, the use of artificial intelligence to ensure cybersecurity, as well as the optimization of business processes based on artificial intelligence.The book interprets the economics of artificial intelligence as a result of the transition to a digital technological order. A review of modern experience and regulatory perspectives of the institutionalization of the artificial intelligence economy is carried out. The legal framework for combating cyber threats in the artificial intelligence economy has been determined. The promising frameworks for using artificial intelligence in various branches of industry are presented. The book provides practical examples, case studies and proposed frameworks for using AI in various sectors of the economy, which allows using the book as a practical guide to managing the artificial intelligence economy.

This book studies smart green innovation through the prism of social entrepreneurship as a driver for sustainable development and the development of an environmental economy. It systematizes and analyzes the modern challenges of the environmental economy: climate change and environmental pollution. The tendencies and scenarios for the environmental economy are considered in the context of implementing the Sustainable Development Goals. Globalization and international trade are also considered factors in the sustainable development of the environmental economy.The book hones in on the international experience of ecological responsibility and fighting climate change through social entrepreneurship. The contribution of corporate responsibility in the fight against climate change is determined, and state regulation of corporate responsibility in the resource-based economies of developing countries is considered. The market mechanisms for stimulating the fight against climate change through social entrepreneurship in countries with developed environmental economies are also considered. The advantages of digitalization for fighting climate change through social entrepreneurship are offered.The book also reflects on the possibilities for the sustainable development of the environmental economy based on climate-smart innovation in social entrepreneurship. It presents a model of climate-smart enterprise and substantiates its advantages for corporate responsibility and sustainable development. The key climate-smart innovations in social entrepreneurship for sustainable development of the environmental economy—robots big data, AI, blockchain, and green finance—are determined. The book also develops policy recommendations to support climate-smart innovation in social entrepreneurship.

This book introduces and explores the concept of the green entrepreneurial economy. Defined as an economic model centered on environmentally driven business transformations that support sustainable development, it prioritizes environmentally responsible business practices that align with the Sustainable Development Goals (SDGs).The book provides a detailed analysis of future opportunities for sustainable development within the green entrepreneurial economy. It systematically organizes key directions and identifies pressing challenges in this field. The authors share their international expertise, with a particular focus on developed and developing nations, highlighting the unique and pioneering approaches of countries in Central Asia, Russia, and the Eurasian Economic Union (EAEU).Additionally, the book examines sector-specific prospects for advancing sustainability in agriculture, energy, circular industries, and green banking. The authors present their insights, recommendations, and practical solutions, leveraging cutting-edge digital technologies such as blockchain, artificial intelligence (AI), the Internet of Things (IoT), big data, and robotics.

This book is devoted to the study of artificial intelligence from a new perspective – not just a technology but a social institution with complex social connections and relationships. The book systematically highlights technological trends of the artificial intelligence economy and considers all the components of its cascade effect with an overview of international experience and substantiation of promising ways of adapting to the modern stage of technological transit of economic systems. The cascade effect is understood as a chain of interdependent events that are triggered as artificial intelligence takes root in society and the economy. Among the technological trends (current areas of the practical application of artificial intelligence), highlighted in the book, are “smart” homes, digital regions, the use of artificial intelligence to ensure cybersecurity, as well as the optimization of business processes based on artificial intelligence.The book interprets the economics of artificial intelligence as a result of the transition to a digital technological order. A review of modern experience and regulatory perspectives of the institutionalization of the artificial intelligence economy is carried out. The legal framework for combating cyber threats in the artificial intelligence economy has been determined. The promising frameworks for using artificial intelligence in various branches of industry are presented. The book provides practical examples, case studies and proposed frameworks for using AI in various sectors of the economy, which allows using the book as a practical guide to managing the artificial intelligence economy.

This book is devoted to the study of artificial intelligence from a new perspective – not just a technology but a social institution with complex social connections and relationships. The book systematically highlights technological trends of the artificial intelligence economy and considers all the components of its cascade effect with an overview of international experience and substantiation of promising ways of adapting to the modern stage of technological transit of economic systems. The cascade effect is understood as a chain of interdependent events that are triggered as artificial intelligence takes root in society and the economy. Among the technological trends (current areas of the practical application of artificial intelligence), highlighted in the book, are “smart” homes, digital regions, the use of artificial intelligence to ensure cybersecurity, as well as the optimization of business processes based on artificial intelligence.The book interprets the economics of artificial intelligence as a result of the transition to a digital technological order. A review of modern experience and regulatory perspectives of the institutionalization of the artificial intelligence economy is carried out. The legal framework for combating cyber threats in the artificial intelligence economy has been determined. The promising frameworks for using artificial intelligence in various branches of industry are presented. The book provides practical examples, case studies and proposed frameworks for using AI in various sectors of the economy, which allows using the book as a practical guide to managing the artificial intelligence economy.