Core Viewpoint - The Chinese government aims to enhance air quality and reduce PM2.5 concentrations significantly by 2027 and 2035, with stricter standards for air pollutant emissions during the 14th Five-Year Plan period [1] Group 1: Air Quality Improvement Goals - By 2027, the average concentration of fine particulate matter (PM2.5) nationwide is targeted to drop below 28 micrograms per cubic meter, with cities striving to meet this standard [1] - By 2035, the goal is to further reduce the PM2.5 concentration to below 25 micrograms per cubic meter [1] - As of 2024, approximately 25% of cities have not met the current air quality standards, with some cities exceeding 40 micrograms per cubic meter [1] Group 2: Energy Structure Adjustment - China is accelerating the construction of a new energy system, optimizing the integrated operation of "source-network-load-storage" [2] - The marginal cost of renewable energy generation is expected to decrease, supported by policy guidance, leading to a downward trend in electricity prices [2] - Improved electricity efficiency will support the transition from coal and oil to electricity in industrial and transportation sectors, significantly reducing air pollutants and greenhouse gas emissions [2] Group 3: Industrial Structure Adjustment - Continuous improvement of laws, regulations, and standards will promote the upgrading of traditional industries [2] - Key industries such as thermal power, steel, and cement are gradually achieving ultra-low emissions, while deep governance in sectors like glass and waste treatment is progressing [2] - The comprehensive governance of volatile organic compounds (VOCs) is being enhanced, with significant reductions in pollutant emissions expected [2] Group 4: Transportation Structure Adjustment - Mobile sources are becoming the primary contributors to urban air pollution, necessitating a shift towards electric vehicles [3] - As of June 2025, the number of electric vehicles is projected to reach 36.89 million, accounting for 10.27% of the total vehicle ownership [3] - A reduction in the proportion of traditional fuel vehicles from approximately 90% to below 70% could lead to significant decreases in PM2.5 concentrations [3] Group 5: Spatial Structure Adjustment - Adjusting spatial structures, including land use planning, is crucial for improving air quality [4] - Transitioning from a single-center development model to a multi-center and networked approach is essential for alleviating pollution in urban areas [4] - The government has outlined a clear implementation path for air quality improvement and the construction of a beautiful China [4]

Group 1 - The year marks the conclusion of the "14th Five-Year Plan" and the planning phase for the "15th Five-Year Plan," with a focus on improving air quality through systematic measures [1] - The continuous improvement of the environmental standards system since 2015 has been a key driver in enhancing air quality, necessitating strong measures for deep emission reductions to achieve the goal of a beautiful China [2] - Current emission reduction measures are categorized into regular and emergency reductions, with many regions relying on collaborative reduction and enhanced pollution source inspections, which have shown limited effectiveness due to the small scale of pollution sources involved [2][3] Group 2 - Local governments are empowered to establish stricter environmental standards than national ones, allowing for tailored approaches to emission reductions based on regional conditions [3] - A well-established environmental standards system can maintain a healthy market order by setting a unified environmental baseline for enterprises, preventing unfair competition and promoting green development [3] Group 3 - The formulation of standards must be scientific and reasonable, ensuring both feasibility and alignment with local realities while referencing advanced practices from other regions [4] - Each standard should focus on addressing key issues, such as discrepancies in emission levels compared to advanced provinces and gaps in monitoring and control processes [4]