Core Viewpoint - The Chinese government aims to accelerate the development of state-owned forest farms to enhance ecological protection, green development, and benefit the people, with a goal to establish a modernized state-owned forest farm system by 2030 and essentially complete it by 2035 [1][4]. Summary by Sections Development Goals - By 2030, a modernized state-owned forest farm system with high-quality resources, stable ecological functions, and robust industrial development is expected to be initially established, with full completion targeted by 2035 [1]. Current State and Challenges - Since the founding of New China, 4,855 state-owned forest farms have been established, with 4,297 currently operational, covering 8% of the national land area [2][4]. - Despite improvements since the 2015 reform, challenges remain, including insufficient supply of quality ecological products, inadequate resource protection mechanisms, outdated infrastructure, lack of development vitality, and a shortage of professional talent [4][5]. Infrastructure and Living Conditions - Significant infrastructure deficits exist, with 543 sub-farms lacking water supply and 318 without electricity, leading to poor living conditions for workers compared to surrounding villages [5][6]. Resource Management and Economic Development - The government plans to systematically inventory resources, establish clear property rights, and explore paid use of forest resources while prohibiting free allocation to local financing platforms [5][6]. - Support will be provided for the development of a modern industrial system, including the establishment of genetic resource banks and the promotion of various economic activities such as eco-tourism and forest products processing [8][9]. Technological and Infrastructure Improvements - The initiative encourages the adoption of smart machinery and new technologies like IoT and AI, alongside improving basic infrastructure such as roads, power, and communication systems [9]. - The integration of state-owned forest farms into local road networks and the enhancement of their accessibility are also prioritized [9].

Core Viewpoint - The National Development and Reform Commission, in collaboration with the Ministry of Finance and other departments, has issued guidelines to accelerate the construction of modern state-owned forest farms, aiming for significant ecological and industrial improvements by 2035 [1] Group 1: Ecological Improvements - By 2035, the ecological quality of state-owned forest farms is expected to continuously improve [1] - The forest stock volume per unit area is projected to increase by approximately 11% [1] Group 2: Industrial Development - A more complete and distinctive green industry system is anticipated to be established [1] - Modern state-owned forest farms are expected to become a key force in maintaining national ecological security and promoting the development of the forestry and grass industry [1] Group 3: Quality of Ecological Products - The initiative aims to provide high-quality ecological products as part of the development strategy [1]

Core Viewpoint - The recent issuance of the "Opinions on Accelerating the Construction of Modern State-owned Forest Farms" aims to enhance the management and ecological functions of state-owned forest farms by 2030, targeting a 5% increase in forest stock per unit area [1] Group 1: Policy Objectives - By 2030, the management system of state-owned forest farms is expected to be further improved, with a focus on resource quality, ecological stability, and industrial development [1] - The policy supports the protection and utilization of genetic resources, including the establishment of resource banks and seed bases [1] Group 2: Economic Development - State-owned forest farms are encouraged to develop under-forest economies and establish bases for economic crops such as fruit trees and oilseeds [1] - The initiative promotes the cultivation of new productive forces in the forestry and grass industry, leveraging technologies like IoT, big data, and artificial intelligence [1]