Core Viewpoint - The development of "night economy" is becoming a new hallmark of urban vitality, with diverse consumption scenarios emerging at night, including night markets, cultural experiences, and entertainment options [2][4]. Group 1: Night Economy Growth - Approximately 60% of domestic residents' consumption occurs at night, with large shopping malls seeing over 50% of their daily revenue generated between 6 PM and 10 PM [4]. - Nighttime tourism spending is projected to reach approximately 1.91 trillion yuan in 2024, indicating a significant increase in demand for night tourism [4]. Group 2: Local Initiatives and Events - Various cities are actively promoting night consumption through events such as concerts and sports, with Beijing implementing "ticket root economy" to encourage spending in nearby businesses during events [5]. - In Shanghai, the 2025 Shanghai Night Life Festival features a carnival showcasing diverse activities, enhancing the city's vibrant night culture [5]. Group 3: Technological Integration - Cities like Kaifeng are integrating digital technologies into their night economy, enhancing visitor experiences through interactive performances and smart tourism solutions [7][8]. - The use of AR technology in places like Taiyuan and Wuhan is aimed at improving consumer engagement and driving offline spending [8].

数字经济与新质生产力的高科技、高效能、高质量特征相契合，是加快发展新质生产力的关键领域。上 半年，信息传输、软件和信息技术服务业增加值增长11.1%。数字经济核心产业占GDP比重达到约 10%，即使与发达国家比，这个比重也是较高的。这些数值表明数字技术正以前所未有的速度深度融入 经济肌理，数字要素成为产业高质量发展的关键生产要素。随着数字技术创新突破、数据要素创新性配 置、传统产业数字化转型、适数化改革创新不断推进，生产效率大幅提升，产业跨界融合创新成为常 态。我国经济正加速向"智慧经济"转型。(经济日报) ...

Core Insights - The book "Data Capital" proposes a new framework for a fair data economy, exploring the capitalization of data across various sectors such as healthcare and finance, and aims to create a "smart economy" through trusted technology and artificial intelligence [1][4] Group 1: Data Cooperatives - The concept of a "data cooperative" is introduced to facilitate data sharing among citizens and enhance data innovation capabilities [4] - Establishing data property rights and sharing mechanisms can lead to the tokenization of data and its infrastructure, reshaping traditional banking and financial systems [4] Group 2: Economic Implications - The development of data algorithms and AI is expected to create new forms of economic participation, necessitating a more resilient social system [4] - The book emphasizes the risks and uncertainties in the new economic ecosystem, which directly challenges existing financial systems [4] Group 3: Digital Currency and Tokenization - The latter part of the book focuses on digital currency systems, tokenized financial ecosystems, stablecoins, and virtual asset trading networks, which are closely related to digital currencies [4] - The authors provide insights into the fundamental principles, roles, and future expectations of these digital currency-related topics, marking them as the most essential parts of the book [4]