Group 1: Economic Resilience and Growth - China's economy demonstrated strong resilience and potential in April, achieving stable growth despite external pressures such as tariffs and trade issues [1] - The performance of China's foreign trade exceeded expectations, reflecting solid industrial foundations and rapid adjustments in foreign trade policies [1][8] - A comprehensive set of policies aimed at stabilizing employment, enterprises, markets, and expectations contributed to the smooth operation of the economy and risk mitigation [1] Group 2: Manufacturing Sector Advancements - The high-end, intelligent, and green transformation of China's manufacturing sector continued to progress in April, with high-tech manufacturing value-added growth outpacing overall industrial growth by 3.9 percentage points [4] - Equipment manufacturing and high-tech manufacturing saw approximately 10% growth in value-added, driven by increased technological upgrades and equipment purchases [4] - The integration of technological and industrial innovation is accelerating, with digitalization and green transformation investments rising, injecting new vitality into economic development [4][6] Group 3: Foreign Trade Dynamics - China's total goods import and export volume increased by 2.4% year-on-year from January to April, with a 1.1 percentage point acceleration compared to the first quarter [8] - Trade with countries involved in the Belt and Road Initiative grew by 3.9%, reflecting a broader "friend circle" for China's foreign trade [8] Group 4: Policy Implementation and Market Environment - Emphasis on the detailed implementation of existing policies is crucial for addressing risks and challenges, enhancing the precision and effectiveness of these policies [11] - Long-term strategies include promoting a unified national market, optimizing the business environment, and advancing high-level openness to activate development potential [11]

随着创新支持力度持续加大，高技术产业较快增长。4月份，规模以上高技术制造业增加值同比增 长10%，其中，航空航天相关设备制造、集成电路制造增加值分别增长21.4%和21.3%。"人工智能+"驱 动作用增强，数字产业蓬勃发展，4月份，规模以上数字产品制造业增加值增长10%。同时，绿色低碳 转型不断深入，新能源产业发展较快，4月份新能源汽车、充电桩等新能源产品产量分别增长38.9%和 43.1%。 "总的来看，4月份，我国经济基础稳、优势多、韧性强、潜能大，宏观政策协同发力，各方面积极 应变、主动作为，国民经济应变克难稳定运行，发展质量持续提升，进一步增强了我们应对各种风险挑 战的信心和底气。"付凌晖说，国际环境变数仍多，多重风险交织叠加，国民经济回升向好的基础还需 巩固。 付凌晖表示，从4月份主要数据指标情况来看，呈现出生产供给较快增长、国内需求稳步扩大、外 贸韧性得到彰显、就业形势总体稳定、新质生产力成长壮大等特点。 尽管国际环境急剧变化，外部冲击影响加大，但我国加大外贸多元化发展，推动外贸保持平稳增 长，彰显出强大韧性。1—4月，我国货物进出口总额同比增长2.4%，其中，我国对共建"一带一路"国家 的进出口 ...

值得注意的是，新质生产力成长壮大。创新支持力度持续加大，高技术产业较快增长。4月，规模以上 高技术制造业增加值同比增长10%，其中，航空航天相关设备制造、集成电路制造增加值分别增长 21.4%和21.3%。"人工智能+"驱动作用增强，数字产业蓬勃发展，4月，规模以上数字产品制造业增加 值增长10%。绿色低碳转型不断深入，新能源产业发展较快，4月新能源汽车、充电桩等新能源产品产 量分别增长38.9%和43.1%。 中国信息协会常务理事、国研新经济研究院创始院长朱克力对北京商报记者表示，人工智能技术正在重 构制造业的价值创造模式。传统生产流程中，硬件制造与数据服务的割裂状态被智能感知元件的普及打 破，设备实时反馈的数据流催生出新的增值空间。企业从单纯销售产品转向提供全生命周期服务，这种 商业模式变革推动产业链上下游形成数据闭环，使得制造环节的边际效益呈现指数级提升。 工信部信息通信经济专家委员会委员盘和林进一步指出，"人工智能+"能够为产品赋能，增加AI功能； 能够推动制造向智造转变，提高制造业定制生产、精准生产的能力；能够和场景结合，缔造新的需求场 景等。对全方位提升新质生产力，推动新质生产力的发展有重要意义。 ...

Economic Overview - In April, external shocks increased, but macro policies worked in coordination, leading to stable and rapid growth in major indicators, indicating a continued positive trend in the national economy [1] Consumption Trends - The retail sales of consumer goods related to the "old for new" policy, including home appliances, cultural office supplies, furniture, communication equipment, and building materials, contributed 1.4 percentage points to the total retail sales growth in April. Service retail sales grew by 5.1% from January to April, accelerating for two consecutive months. Domestic travel during the "May Day" holiday increased by 6.4% year-on-year, suggesting that consumption's contribution to economic growth is expected to continue strengthening [2] Policy Implementation - To better unleash consumption potential, it is essential to implement special actions to boost consumption, enhance residents' consumption capacity, increase quality supply, and improve the consumption environment, promoting healthy economic development and continuous improvement in people's livelihoods [3] Digital and High-Tech Industry Growth - In April, the added value of high-tech manufacturing above designated size increased by 10% year-on-year, with aerospace equipment manufacturing and integrated circuit manufacturing growing by 21.4% and 21.3%, respectively. The "Artificial Intelligence +" driving effect is strengthening, with the added value of the digital product manufacturing industry also growing by 10%. The transition to a green and low-carbon economy is deepening, with significant growth in new energy products, including a 38.9% increase in new energy vehicles and a 43.1% increase in charging piles [4] Investment Potential - The overall stability of economic operations this year, along with the effects of "two heavy" construction and "two new" policies, indicates that there is still significant investment potential in the country, supported by various favorable factors for investment growth [5] Price Stability and Macro Policy - Current prices are generally low, which increases operational pressure on enterprises and affects residents' employment and income. Therefore, it is crucial to promote prices to remain within a reasonable range. Future efforts should focus on continuing to leverage macro policy effects, expanding domestic demand, deepening supply-side structural reforms, improving economic circulation, and maintaining market order to promote reasonable price recovery [6] Economic Resilience - Despite a complex and severe international environment with many unstable and uncertain factors, the long-term positive fundamentals of the economy remain unchanged. Coordinated macro policies and collective efforts are expected to foster innovation and support the continued recovery of the economy [7]

国家统计局新闻发言人、国民经济综合统计司司长付凌晖在新闻发布会上表示，创新支持力度持续加 大，高技术产业较快增长。4月份，规模以上高技术制造业增加值同比增长10%，其中，航空航天相关 设备制造、集成电路制造增加值分别增长21.4%和21.3%。"人工智能+"驱动作用增强，数字产业蓬勃发 展，4月份，规模以上数字产品制造业增加值增长10%。绿色低碳转型不断深入，新能源产业发展较 快，4月份新能源汽车、充电桩等新能源产品产量分别增长38.9%和43.1%。(人民财讯) ...

Core Insights - The digital economy in China is rapidly growing, with the core industries expected to account for about 10% of GDP by 2024 [1][2][19] - The core industries of the digital economy include digital product manufacturing, digital product services, digital technology applications, and data-driven industries [2][19] - In 2023, the added value of the digital economy's core industries reached 12.7555 trillion yuan, with significant contributions from various sectors [2][19] Industry Development - The number of enterprises in the digital economy core industries reached 4.5741 million by the end of November 2024, marking a 17.99% increase from the end of 2023 [3][19] - The growth in enterprise numbers reflects the acceleration of digital China construction and the increasing support of the digital economy for high-quality economic development [3][19] Technological Innovation - Technological innovation is a key driver for the development of the digital economy core industries, with significant advancements in areas such as 5G, artificial intelligence, and quantum computing [7][8] - In 2023, the number of invention patents authorized in the digital economy core industries reached 406,000, accounting for 45% of the total authorized patents in society [2][7] Infrastructure and Market Development - China has established the world's largest mobile communication and fiber broadband network, with 5G base stations reaching 4.251 million by the end of 2024 [4] - The online retail sales in China for 2024 are projected to be 15.5225 trillion yuan, reflecting a 7.2% increase from the previous year [4] Data Resource Utilization - The digital economy core industries have significantly improved the level of data resource development and utilization, providing advanced technology and tools for deeper data resource utilization [19] - The added value of the digital technology application industry was 5.56 trillion yuan in 2023, while the digital product manufacturing industry contributed 4.31 trillion yuan [19][20] Challenges and Recommendations - Despite the rapid growth, challenges remain, including a lack of specialized institutions, the need for improved technical levels, and the expansion of application ranges [20] - Recommendations include encouraging traditional enterprises to develop data businesses, enhancing collaboration among industry, academia, and research, and supporting enterprises in transitioning from business-driven to data-driven models [20]